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Author SHA1 Message Date
root 6570fd60e7 tune: switch compression model from strix-moe to syslog-auto
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Relieve Strix Halo pressure by distributing compression across the
syslog-auto weighted pool (55% RTX 3090, 30% Strix Halo, 15% RTX 5070).

Updates:
- compression.model: strix-moe -> syslog-auto
- auxiliary.compression.model: strix-moe -> syslog-auto
- Rule 7: Updated for syslog-auto compression, removed aux prohibition
- Rule 8: Updated GPU workload distribution
- All docs/comments updated to reflect the change
2026-07-18 23:28:07 +00:00
jerome 14d27a09b5 Merge pull request 'gpu-self-heal: refresh to current fleet baseline and topology' (#21) from feat/gpu-self-heal-refresh-20260718 into master
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Reviewed-on: #21
2026-07-18 08:36:37 +00:00
root bddbb22f03 gpu-self-heal: refresh to current fleet baseline and topology
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- Synced model assignments to 2026-07-17 swaps (ThinkingCap, HauhauCS QAT, Genesis Hermes V3)
- Added stable role-based aliases from gpu-fleet (gpu-dense, gpu-light, strix-moe)
- Updated benchmark baselines to live values (74.9/169.6/62.9 tok/s)
- Replaced router (port 9000) references with LiteLLM + direct routing
- Replaced Prometheus exporter rule with sidecar health probe
- Updated VRAM thresholds to match operational data (300/300/200 MB/h)
- Added response size limit (1MB) to prevent OOM crashes
- Added Lessons L5 (response size crash) and L6 (stable aliases)
- Removed deprecated Rules 11-12 (router-specific distribution balance)
2026-07-18 08:07:03 +00:00
root 31ec70ae36 gpu-fleet: RTX 3090 swap to ThinkingCap-Qwen3.6-27B Q4_K_M
- Model: Qwopus Q4_K_M (16GB, 63 tok/s) → ThinkingCap Q4_K_M (15.7GB, 68 tok/s)
- RL-finetuned: 50% fewer thinking tokens, 0.85 MMLU-Pro (vs 0.83 base)
- Self-spec MTP (n=4) REQUIRED for stability — segfaults without it
- Added vision via mmproj (0.9GB) — new capability for this GPU
- VRAM: 20.9/24.6GB (85%), tighter but stable
- Outputs reasoning_content (hidden from Hermes agent)
2026-07-17 15:50:50 +00:00
root 5eb6d3bfbd gpu-fleet: RTX 5070 swap to HauhauCS Gemma4-12B QAT Uncensored Balanced
- Model: IQ4_NL (6.3GB, 191 tok/s) → Q4_K_M QAT (6.9GB, 87 tok/s)
- MTP draft: Q8_0 (444MB) → tuned draft (242MB), saves 200MB VRAM
- mmproj: F16 → BF16 (same size, matched to new model)
- Benefits: 0/465 refusals, agent-optimized tuning, QAT quality
- Trade: 54% slower generation (acceptable for gpu-light role)
- Config: --parallel 1, --ctx-size 131072, single-slot full 128K
- VRAM: 10.0/12.2GB (82%), healthy headroom
2026-07-17 15:24:13 +00:00
jerome 33cb88d571 Merge pull request 'feat: GPU context 256K→128K fleet-wide + Genesis Hermes V3 on Strix Halo' (#20) from feat/gpu-128k-genesis-hermes-v3-20260717 into master
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Reviewed-on: #20
2026-07-17 11:21:32 +00:00
root 4a1f476623 fix: add missing description to inference-optimization frontmatter
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2026-07-17 11:11:27 +00:00
root ba2c55c7e6 ci: re-trigger pipeline for PR #20
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2026-07-17 11:10:29 +00:00
root b9149bce47 feat: GPU context 256K→128K fleet-wide + Genesis Hermes V3 on Strix Halo
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GPU Changes:
- All 3 GPUs reduced from 256K (-c 262144) to 128K (-c 131072) for stability
- Observed instability near 100K at 256K — 128K is the stable ceiling
- VRAM improved: RTX 3090 ~70% (was 90%), RTX 5070 ~65% (was 88%)
- Strix Halo swapped to LuffyTheFox/Genesis Hermes V3 APEX
  - Hermes agent fine-tune, tensor repair (3 SSM layers, 76% W1 improvement)
  - Uncensored (0/465 refusals), multimodal (mmproj F16)
  - Speed: 65 tok/s gen, 140 tok/s prompt
  - Alias strix-moe maintained

Agent Updates:
- Mumuni: max_context_window 262144→131072, already aligned on strix-moe/0.65
- Tanko: max_context_window 262144→131072
- Koonimo: max_context_window + context_length 262144→131072
- CT114 SSH access confirmed (was 'Zulip only')

LiteLLM (CT116):
- Updated backend model references qwen3.6-35B-udq4→strix-moe
- Removed stale ornith-1.0-35b from model_cost
- Fallback chains updated

Contracts Updated:
- gpu-fleet.prose.md: topology, VRAM, benchmarks, config lines, model assignments
- gpu-self-heal.prose.md: Rule 9/10 context targets
- hermes-config-template.prose.md: template values, Rules 7-9, compression thresholds
- inference-optimization.prose.md: added to repo, 128K recommendation

Compression: 0.65 fires at ~85K (~43K headroom before 128K ceiling)
For >128K workloads: route to external providers (deepseek)
2026-07-17 10:59:45 +00:00
root 65c99dab50 contract: update litellm-api-keys to v2026-07-17 — fleet standardization
- Document canonical systemd drop-in pattern (ExecStart= reset + wrapper)
- Hardcode venv paths — never use variables in single-quoted bash -c
- Update migration status: all 4 agents on while-true wrapper + st.8e848433
- Infisical CLI update procedure (0.38.0 → 0.43.109 via artifacts-cli)
- Service token inventory + .env fallback inventory
- Key rotation log: fleet standardize + tanko fix-zulip entries
- Remove git merge conflict artifacts
- Add fleet-wide standardization lessons section
2026-07-17 10:17:23 +00:00
jerome 20cbb96e2d Merge pull request 'Vault cleanup + contract sync (WAL #1316)' (#19) from fix/vault-cleanup-contract-sync into master
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Reviewed-on: #19
2026-07-16 21:24:59 +00:00
root 8215b84f88 merge: resolve conflicts with master (delegation delete + gpu-fleet)
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2026-07-16 21:22:34 +00:00
jerome 24cd7f72ac Merge branch 'master' into feat/zulip-v3-resilience 2026-07-16 21:20:24 +00:00
jerome d6e85e68e9 Merge pull request 'UPDATE 2026-07-15: Full GPU fleet rebuild + stable aliases' (#18) from feat/gpu-fleet-rebuild-20260715 into master
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Reviewed-on: #18
2026-07-16 21:17:12 +00:00
root b7e23e2592 vault: Infisical cleanup + contract sync (WAL #1316)
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- litellm-api-keys: vault audit, tanko/koby/koonimo migration, key rotation log
- gpu-fleet: ornith-1.0-35b→strix-moe (remaining refs)
- hermes-agent-baseline: 256K all GPUs, CT IPs updated, Shumba retired
- delegation-prose-contract: removed (renamed to mumuni-delegation)
- contract-registry.yaml + cron-prompts-review.md: from feat/contract-registry
2026-07-16 21:17:09 +00:00
root 369c312ccb vault: BAGGY_LITELLM_API_KEY deleted — one secret per agent
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2026-07-16 19:54:51 +00:00
root 7f39a444d6 vault: BAGGY+LITELLM synced, deletion needs Infisical UI
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2026-07-16 19:28:28 +00:00
Abiba 17f4c79fe4 vault: sync BAGGY_LITELLM_API_KEY = KOONIMO_LITELLM_API_KEY (same agent CT113)
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Baggy = Koonimo (CT 113). The vault had two divergent keys:
- BAGGY_LITELLM_API_KEY = sk-QT-kDt8Szo... (stale, 401)
- KOONIMO_LITELLM_API_KEY = sk-OEK7z26n6... (valid, 200, session-13 rotation)

Synced BAGGY to match KOONIMO (the valid key).
Added contract note: both secrets MUST mirror each other.
This was the root cause of Koonimo's 401 after migration —
the ghost process had BAGGY in its env instead of KOONIMO.
2026-07-16 19:22:48 +00:00
Abiba a9caf5b216 vault: fix koby platform connectivity + document migration lessons
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Koby was broken after migration — Zulip credentials lost (only in process memory),
Telegram token overwritten (only existed in old .env.bak-20260603).

Fix: Koby shares Tanko's Zulip bot (tanko-bot@, TANKO_ZULIP_API_KEY in vault).
Telegram token recovered from .env.bak-20260603. Both platforms now connected.

Added Koby migration lessons to contract (back up .env before migration,
inject ALL platform env vars, cat /proc/pid/environ before killing old gateway).
Added KOBY_ZULIP_API_KEY to vault (shares Tanko's key).
2026-07-16 18:19:27 +00:00
Abiba 15a826457e vault: canonical Production Vault Access Process + sync vault + migrate koby/koonimo
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- Vault SYNCED: mumuni/koby/koonimo rotated keys written to Infisical (all validate 200).
  Vault is source of truth again (was stale since session-13 rotations).
- Koby (.129) + Koonimo (.114) migrated from hardcoded systemd drop-ins to
  infisical-gateway.sh wrapper (live vault injection, .env fallback safety net).
  4/5 agents now vault-backed (abiba/mumuni/koby/koonimo).
- New § Production Vault Access Process: canonical 7-step pattern, migration status
  table, key rotation procedure, why-it's-non-fail rationale.
- Fixed stale notes: 'vault sync PENDING' (now synced), 'Abiba key IS master key'
  (now a proper agent key sk-sxbphLvk1OU).
- Tanko (user jerome, not systemd) documented as pending migration.
- hermes-key-enforcement: cross-ref to canonical process, drop-ins deprecated.
2026-07-16 17:51:53 +00:00
Abiba cd52deda92 contracts: stable alias chain + no-master-key-for-inference rule
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Agent configs aligned to stable aliases (gpu-light/gpu-dense/strix-moe/syslog-auto):
- Tanko fixed: base_url :4000->/v1 (nginx), max_context_window 131072->262144,
  aux.compression gemma->strix-moe, aux gemma->gpu-light
- Mumuni aligned: aux gemma->gpu-light, delegation/x_search qwen->gpu-dense
- Koby/Koonimo already used gpu-light (validated)
- Zero raw model names remain in any agent config

No-master-key rule: litellm_proxy_master_key (sk-litellm-...) is admin-only
(/key/list, /key/generate). All inference uses agent keys. Health-check model
tests use dedicated monitor key (/etc/litellm-monitor.env on CT 116).
Fixed: daily-infra-report.py, gpu-self-heal.py, litellm-health-check.sh.

Fixed wrong key-scope note: qwen3.6-35B-udq4 IS in scope for baggy/koby/mumuni/
abiba-pi keys (not 'NOT in allowlist' as previously documented).
2026-07-16 17:39:05 +00:00
Abiba 97f1cd77e4 litellm-self-heal: document 2026-07-16 ops sync (script fixes, systemd gpu-monitor, live-key agent check)
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Health-check script: critical-only gpu-fleet alerting, strix-moe model test.
gpu-monitor: systemd unit (was bare &), Strix counted in gpu_count, VRAM
thresholds raised (93/97 — 256K ctx steady-state ~96% on RTX 3090).
agent-health-check.py: reads live LITELLM_API_KEY from gateway env (no hardcoded keys).
daily-infra-report.py: stale SYNTHETIC key → env-based master key.
2026-07-16 17:23:37 +00:00
Abiba dc572889f8 contracts: sync to ground truth — ornith-1.0-35b→strix-moe, 256K all GPUs, real LiteLLM timeouts
Verified on ground 2026-07-16 against CT 116 litellm_config.yaml + GPU hosts:
- AMD host serves qwen3.6-35B-udq4 (LiteLLM alias strix-moe); ornith-1.0-35b does NOT exist
- All 3 GPUs at 256K ctx, parallel 2 (RTX 3090 was listed 128K/parallel 1)
- LiteLLM timeouts: qwen 300s, gemma 120s, strix 300s (were stale 90s/120s)
- Added LiteLLM model surface + key scoping to litellm-self-heal
- Patched health-check script path ref

Files: litellm-self-heal, litellm-health, gpu-fleet, gpu-self-heal,
zulip-adapter-lessons, abiba-zulip-restore, hermes-agent-baseline,
delegation-prose-contract, mumuni-delegation-prose-contract
2026-07-16 17:02:44 +00:00
Abiba d0feb7881e Contracts: Rule 13 two key-injection patterns + koby/baggy rotation log (WAL #1300) 2026-07-16 15:10:50 +00:00
Abiba 9fd8c68bd2 Contracts: replace remaining ornith-1.0-35b refs with strix-moe 2026-07-16 13:57:57 +00:00
Abiba 39e2fa0cfa Contracts: Mumuni context-fix (WAL #1300) — strix-moe, 256K all GPUs, Rule 12/13, machine-identity vault procedure 2026-07-16 13:57:31 +00:00
root 622cf7b176 UPDATE 2026-07-15: Full fleet rebuild
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- Stable role-based aliases: strix-moe, gpu-dense, gpu-light
- Strix Halo: ornith-1.0-35b -> unsloth/Qwen3.6-35B-A3B-MTP (UD-Q4_K_M, 256K)
- RTX 5070: Q4_K_M -> IQ4_NL+MTP (256K, 125-213 tok/s, 2x faster)
- RTX 3090: bumped to 256K context
- Provider rename: harness -> litellm (all agents)
- syslog-auto: weighted pool restored with direct GPU routing
- Mumuni agent profile documented
- Self-heal thresholds updated for 256K context
- All model contexts corrected (RTX 3090 was 131K, not 256K)
2026-07-15 16:04:21 +00:00
root 30bf42b841 feat: Zulip v3 resilience contract + restore playbook
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- zulip-resilience-v3.prose.md: Production resilience rewrite contract covering
  circuit breaker, retry with jitter, queue lifecycle management, supervisor
  watchdog, and PM2 hardening. Research-backed from Zulip event system docs.
- abiba-zulip-restore.prose.md: Quick-restore playbook for recovery scenarios.
2026-07-13 21:29:35 +00:00
abiba-bot 190ceb9be4 Merge pull request 'GPU workload redistribution + lessons learned July 2026' (#15) from feat/gpu-workload-compression-jul2026 into master
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2026-07-12 23:40:12 +00:00
jerome 22eaaf4254 Merge pull request 'fix: add data source integrity rule to delegation contract' (#14) from feat/data-source-integrity-rule into master
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Reviewed-on: #14
2026-07-12 18:09:10 +00:00
jerome fdb22948d9 fix: add data source integrity rule to delegation contract
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Workers MUST use provided input data, not fetch external sources.
Adds: Data Source Integrity section, dispatch guidance example,
anti-pattern entry. Root cause of e2e test discrepancies where
writer worker queried Proxmox API instead of using raw data.
2026-07-11 18:51:30 -04:00
jerome e9968e165d Merge pull request 'feat: add RA-H OS Custodianship Contract for shared memory protocol' (#13) from feat/ra-h-os-custodianship-contract into master
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Reviewed-on: #13
2026-07-10 23:39:30 +00:00
mumuni-bot 44ba53cf71 fix: add YAML frontmatter to RA-H OS Custodianship Contract
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prose-contracts/pr-pipeline All CI checks passed
- Added required frontmatter block with kind=pattern, name, and description
- Fixes CI validate step that was blocking the PR pipeline
- All other CI checks (lint, ai-review) were skipped due to validate failure
2026-07-10 19:16:30 -04:00
jerome b96b334283 feat: add RA-H OS Custodianship Contract for shared memory protocol
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2026-07-10 09:43:49 -04:00
jerome dc829bb09d Merge pull request 'feat: mumuni-delegation-prose-contract — manager operating doctrine for worker delegation' (#12) from feat/delegation-prose-contract into master
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Reviewed-on: #12
2026-07-09 07:43:26 +00:00
jerome a8354e88bc rename: delegation-prose-contract → mumuni-delegation-prose-contract
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Contract is Mumuni-specific operating doctrine — different agents have
different architectures and don't need this. Renamed file and frontmatter
to reflect that.
2026-07-09 03:18:29 -04:00
jerome 98d8ce6772 fix: add topology section to satisfy lint checks
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Added cluster/node topology section referencing all 5 Proxmox nodes and
clarifying that the contract is infrastructure-agnostic — defines the who
and when, not the where.
2026-07-09 02:53:44 -04:00
jerome 548e421fa1 feat: add delegation-prose-contract pattern — manager operating doctrine for worker delegation
Defines when to delegate, worker selection matrix, verification protocol,
kanban board, and failure handling. Addresses the context overflow and
iteration exhaustion issues where the manager was doing all work itself
instead of delegating to the 6 worker profiles.
2026-07-09 02:29:42 -04:00
16 changed files with 4319 additions and 193 deletions
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---
kind: function
name: abiba-zulip-restore
description: >
Restores Zulip connectivity for Abiba (pi agent). Verifies the v2 router-worker
extension code, starts a PM2 process as the Zulip gateway with correct env vars,
validates health endpoint, and confirms DM delivery. Run this whenever Abiba
stops responding on Zulip or after system restart.
agent: abiba
version: 1.0.0
status: active
runtime_contract: 2
---
# Abiba Zulip Restore — Resume pi Zulip Communication
Single-shot function that restores full Zulip connectivity for the Abiba pi agent.
Covers extension code validation, PM2 process management, health endpoint
verification, and DM loopback testing.
## Live-State Fields
| Field | Value | Trust |
|-------|-------|-------|
| Agent name | abiba | ✅ |
| Bot email | abiba-bot@chat.sysloggh.net | ✅ |
| Zulip server | https://chat.sysloggh.net | ✅ |
| Extension path | /root/.pi/agent/extensions/zulip/index.js | ✅ |
| Config path | /root/.pi/agent/extensions/zulip/config.yaml | ✅ |
| Health port | 9200 | ✅ |
| @all-bots user ID | 20 | ✅ (config, verified by API at runtime) |
| PM2 process name | abiba-zulip | ✅ |
| Provider | syslog-harness (http://192.168.68.116/v1) | ✅ |
| Default model | deepseek-v4-pro | ✅ (settings.json) |
## Architecture
The pi Zulip extension uses a **router-worker architecture** (v2):
- **Router** (PM2 `abiba-zulip`, `ZULIP_ROLE=router`): Polls Zulip for events,
maintains a per-sender pool of pi RPC worker processes. Each sender gets
their own `pi --mode rpc --session-dir` process with persistent sessions.
Handles streaming edits back to Zulip.
- **Worker** (child `pi --mode rpc`): Runs the agent with per-sender persistent
sessions. No Zulip logic in the worker — the router handles all Zulip I/O.
The extension loads in ALL pi sessions (via `settings.json` extensions array)
but is a **NO-OP** unless `ZULIP_ROLE=router` is set. Only the PM2 router process
carries the env var.
## Maintains
- extension_valid: bool — Extension code imports without errors
- pm2_running: bool — PM2 process `abiba-zulip` is online
- health_responding: bool — GET :9200/health returns "ok"
- zulip_connected: bool — Queue registered, bot identity resolved
- loopback_delivered: bool — Test DM sent and received
- model_valid: bool — Configured models match LiteLLM authorized models
### Postconditions
- PM2 process `abiba-zulip` online and stable (uptime > 30s)
- Health endpoint returns `{ status: "ok", connected: true }`
- Worker pool creates sessions on demand
- Echo prevention active (BOT_EMAILS includes all known bots)
- PM2 saved for auto-restart on boot
## Requires
- Node.js with `yaml` module available
- PM2 installed globally
- Zulip API key in `config.yaml`
- `pi` CLI available on PATH
- Zulip server accessible at https://chat.sysloggh.net
- LiteLLM provider accessible at http://192.168.68.116/v1
## Execution
### Step 1: Validate Extension Code
```bash
node -e "import('file:///root/.pi/agent/extensions/zulip/index.js').then(() => console.log('OK')).catch(e => {console.error('FAIL:', e.message); process.exit(1)})"
```
Expected: `OK`. If FAIL → check for missing dependencies, syntax errors.
### Step 2: Validate Model IDs
Compare configured models against LiteLLM authorized models:
```bash
API_KEY=$(grep -oP 'apiKey:\s*\K.*' /root/.pi/agent/models.json | head -1)
curl -s -H "Authorization: Bearer $API_KEY" http://192.168.68.116/v1/models | \
python3 -c "import json,sys; d=json.load(sys.stdin); [print(m['id']) for m in d.get('data',[])]" 2>/dev/null
```
Check: Every model ID in `models.json` must appear in the authorized list.
If not → fix `models.json` to only include authorized models (prefer `syslog-auto`).
### Step 3: Verify Config Integrity
```bash
python3 -c "
import yaml, sys
with open('/root/.pi/agent/extensions/zulip/config.yaml') as f:
cfg = yaml.safe_load(f)
required = ['zulip.site', 'zulip.email', 'zulip.api_key', 'agent.name']
for k in required:
keys = k.split('.')
v = cfg
for kk in keys:
v = v.get(kk)
if v is None:
print(f'MISSING: {k}')
sys.exit(1)
print('Config valid')
print(f' site={cfg[\"zulip\"][\"site\"]}')
print(f' email={cfg[\"zulip\"][\"email\"]}')
print(f' agent={cfg[\"agent\"][\"name\"]}')
print(f' health_port={cfg.get(\"health_port\", 9200)}')
"
```
Expected: Config valid with all fields non-empty.
### Step 4: Remove Stale Systemd Service
The old `abiba-zulip.service` points to `/opt/abiba-zulip/dist/index.js` (compiled
TypeScript, not the v2 extension). It's disabled and stale. Remove it:
```bash
systemctl stop abiba-zulip 2>/dev/null || true
systemctl disable abiba-zulip 2>/dev/null || true
rm -f /etc/systemd/system/abiba-zulip.service
systemctl daemon-reload
```
### Step 5: Start PM2 Process
**Critical:** The extension MUST run via `pi --mode rpc`, NOT `node index.js` directly.
The extension exports a function that requires pi's session lifecycle. Running
`node index.js` loads the module but never calls the export, so nothing happens.
`pi --mode rpc` loads all extensions (including Zulip) and fires `session_start`.
```bash
# Stop existing if any
pm2 delete abiba-zulip 2>/dev/null || true
# Start pi in RPC mode with ZULIP_ROLE=router env
ZULIP_ROLE=router pm2 start "$(which pi)" \
--name abiba-zulip \
--interpreter none \
-- --mode rpc --no-session
```
Wait 10 seconds for pi to load all extensions, fire session_start, and the Zulip
router to register its event queue.
### Step 6: Validate PM2 Process
```bash
pm2 show abiba-zulip --no-color
```
Check: `status=online`, `restarts=0`, `uptime > 5s`.
### Step 7: Check Logs for Connection
```bash
sleep 3
tail -20 /root/.pm2/logs/abiba-zulip-out.log
```
Look for:
- `[zulip-ext] Connecting to https://chat.sysloggh.net as abiba-bot@chat.sysloggh.net…`
- `[zulip-ext] Bot user_id=N, all-bots user_id=N`
- `[zulip-ext] Connected, queue=N`
- `[zulip-ext] Echo prevention: N bot emails`
- `[zulip-ext] Health endpoint on :9200`
If error → check API key, network to chat.sysloggh.net.
### Step 8: Health Endpoint
```bash
curl -s http://localhost:9200/health | python3 -m json.tool
```
Check:
- `status: "ok"` (not "down")
- `zulip.connected: true`
- `zulip.queue_id` is non-null string
- `zulip.bot_user_id` is positive integer
### Step 9: DM Loopback Test
```bash
curl -s http://localhost:9200/health | python3 -c "
import json,sys
d = json.load(sys.stdin)
if d.get('zulip',{}).get('connected'):
print(f'✅ Zulip connected. Queue: {d[\"zulip\"][\"queue_id\"]}')
print(f' Bot user_id: {d[\"zulip\"][\"bot_user_id\"]}')
print(f' Messages processed: {d[\"zulip\"][\"messages_processed\"]}')
else:
print('❌ Zulip NOT connected')
sys.exit(1)
"
```
### Step 10: Save PM2 for Auto-Start
```bash
pm2 save
pm2 startup systemd -u root --hp /root 2>/dev/null || true
```
### Step 11: Report
Compile results:
| Check | Pass? |
|-------|-------|
| Extension code imports | extension_valid |
| Model IDs authorized | model_valid |
| Config integrity | config_valid |
| PM2 process online | pm2_running |
| Health endpoint | health_responding |
| Zulip connected | zulip_connected |
All pass → ✅ **Abiba Zulip restored.** Relay success to user.
Partial failure → see recovery matrix below.
## Recovery Matrix
| Failure | Recovery |
|---------|----------|
| Extension import fails | Check `node_modules/zulip-js` exists; run `npm install` in extension dir |
| Model ID mismatch | Fix `models.json` to use `syslog-auto` as default model; remove invalid IDs |
| Config missing | Restore from backup or recreate from scratch |
| PM2 won't start | Check `node` version (>=18); check port 9200 not in use |
| Health "down" | Check logs for connection errors; verify Zulip API key; check network |
| "address already in use" | Kill old process: `fuser -k 9200/tcp` |
| Queue registration fails | Check Zulip API key validity; verify bot is active in Zulip admin |
| Rate limit (429) | Extension has built-in retry-after handling — wait, don't restart |
## Known Failure Modes
| Symptom | Root Cause | Recovery |
|---------|-----------|----------|
| Extension loads but no events | `ZULIP_ROLE` not set | Ensure PM2 env has `ZULIP_ROLE=router` |
| Worker stays "busy" forever | Model ID not authorized by LiteLLM | Fix models.json (lesson #11) |
| Placeholder sent but no response | editMessage API fails silently | Extension has fallback (sends new msg); check Zulip API |
| Queue expires rapidly | Poll interval too aggressive | v2 uses 3s poll with long-poll — should be fine |
| Bot doesn't respond to @mentions | Not subscribed to stream | Bot auto-subscribes via API |
| Stale error in health | `last_error` not cleared | v2 clears on successful poll (lesson #4) |
## Appendix: Root Cause & Fix Summary (2026-07-13)
**Problem:** Zulip extension was offline — no PM2 process running.
**Root cause:** The PM2 command ran `node index.js` directly (which loads the
extension module but never calls the exported function). The extension requires
pi's session lifecycle — pi loads extensions, fires `session_start`, and the
Zulip extension hooks into that event.
**Fix:** Run `pi --mode rpc` (not `node index.js`). The `--mode rpc` flag keeps
pi alive listening for RPC commands on stdin while the Zulip extension's router
runs in the background via the `session_start` hook.
```bash
ZULIP_ROLE=router pm2 start "$(which pi)" --name abiba-zulip \
--interpreter none -- --mode rpc --no-session
```
**Additional fixes applied:**
- Fixed `models.json`: replaced `qwen3.6-35B-A3B` (not authorized by LiteLLM)
with `syslog-auto` + `strix-moe` (prevents silent worker failure per
Lesson #11)
- Removed stale systemd unit `abiba-zulip.service` (pointed to old TS code)
- PM2 saved for auto-restart on boot
## Appendix: PM2 Ecosystem Config (Optional)
If preferred over manual `pm2 start`, create `/root/ecosystem.config.js` entry:
```js
module.exports = {
apps: [{
name: 'abiba-zulip',
script: '/bin/pi',
interpreter: 'none',
args: '--mode rpc --no-session',
cwd: '/root',
env: {
ZULIP_ROLE: 'router',
},
log_file: '/root/.pm2/logs/abiba-zulip-out.log',
error_file: '/root/.pm2/logs/abiba-zulip-error.log',
max_restarts: 20,
restart_delay: 5000,
}]
};
```
---
**Last verified good state**: 2026-07-13 — Extension v2 running via `pi --mode rpc`, health endpoint :9200 returning `{status:"ok",connected:true}`, queue a669f21e.
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# Cron Prompts Review — All 10 Scheduled Contracts
Generated: 2026-07-13 20:59:18 ET
---
## hermes-key-enforcement
**Category:** compliance | **Domain:** hermes-agent | **Owner:** abiba | **Schedule:** 0 6 * * *
```
Contract Enforcement: hermes-key-enforcement
Category: compliance
Domain: hermes-agent
Owner: abiba
Schedule: Daily compliance scan at 6am ET
This is a compliance contract. Verify that the contract enforces the required standards and policies. Report any violations found.
Steps:
1. Load contract from prose-contracts/main (file: hermes-key-enforcement.prose.md)
2. Verify prerequisites (connectivity, tools, deps)
3. Execute contract per SOP
4. Run postconditions from contract registry
5. Generate receipt with status (pass/fail/escalated)
6. If any postcondition fails, escalate per contract escalation tiers
7. Log to ~/.hermes/runs/hermes-key-enforcement/
Postconditions to verify:
[
{
"check": "no plaintext API keys in config",
"verify": "grep -rc 'api_key: sk-' /root/.hermes/config.yaml",
"expect": "0 matches"
},
{
"check": "api_key_env used for harness/litellm providers",
"verify": "grep -c 'api_key_env.*LITELLM_API_KEY' /root/.hermes/config.yaml",
"expect": "count > 0"
}
]
Escalation Tiers:
- INFO: notify nobody → action: log_to_receipt
- WARNING: notify abiba → action: relay_alert
- CRITICAL: notify abiba, mumuni → action: relay_alert + pause
- FATAL: notify abiba, mumuni, kwame → action: relay_alert + pause + human_required
Circuit Breaker:
- Max retries: 3 per 60.0min window
- On trip: escalate_to_fatal
Receipt format: JSON with contract, run_id, timestamp, agent, status, actions_taken, postconditions, drift_alerts, evidence_path
Receipt storage: ~/.hermes/runs/hermes-key-enforcement/receipt-{timestamp}.json
Graph node: Create RA-H OS node for receipt with metadata: type=receipt, contract=hermes-key-enforcement, status=<status>
If the contract has no postconditions defined (e.g., reference/pattern contracts), log that it was loaded and skip execution.
IMPORTANT: If the contract file does not exist in prose-contracts/main, report failure and do NOT hallucinate forward.
```
---
## hermes-config-template
**Category:** compliance | **Domain:** hermes-agent | **Owner:** abiba | **Schedule:** 0 4 * * 1
```
Contract Enforcement: hermes-config-template
Category: compliance
Domain: hermes-agent
Owner: abiba
Schedule: Weekly config drift check Monday at 4am ET
This is a compliance contract. Verify that the contract enforces the required standards and policies. Report any violations found.
Steps:
1. Load contract from prose-contracts/main (file: hermes-config-template.prose.md)
2. Verify prerequisites (connectivity, tools, deps)
3. Execute contract per SOP
4. Run postconditions from contract registry
5. Generate receipt with status (pass/fail/escalated)
6. If any postcondition fails, escalate per contract escalation tiers
7. Log to ~/.hermes/runs/hermes-config-template/
Postconditions to verify:
[
{
"check": "agent config template_version matches template file",
"verify": "grep -q 'template_version' /root/.hermes/config.yaml && diff <(grep 'template_version' /root/.hermes/config.yaml | cut -d: -f2 | xargs) <(grep 'template_version' /root/prose-contracts/hermes-config-template.prose.md | cut -d: -f2 | xargs) && echo match || echo mismatch",
"expect": "match"
},
{
"check": "config file is valid YAML",
"verify": "python3 -c 'import yaml; yaml.safe_load(open(\"/root/.hermes/config.yaml\"))' && echo valid || echo invalid",
"expect": "valid"
}
]
Escalation Tiers:
- INFO: notify nobody → action: log_to_receipt
- WARNING: notify abiba → action: relay_alert
- CRITICAL: notify abiba, mumuni → action: relay_alert
- FATAL: notify abiba, mumuni, kwame → action: relay_alert + human_required
Circuit Breaker:
- Max retries: 3 per 60.0min window
- On trip: escalate_to_fatal
Receipt format: JSON with contract, run_id, timestamp, agent, status, actions_taken, postconditions, drift_alerts, evidence_path
Receipt storage: ~/.hermes/runs/hermes-config-template/receipt-{timestamp}.json
Graph node: Create RA-H OS node for receipt with metadata: type=receipt, contract=hermes-config-template, status=<status>
If the contract has no postconditions defined (e.g., reference/pattern contracts), log that it was loaded and skip execution.
IMPORTANT: If the contract file does not exist in prose-contracts/main, report failure and do NOT hallucinate forward.
```
---
## hermes-agent-baseline
**Category:** compliance | **Domain:** hermes-agent | **Owner:** abiba | **Schedule:** 0 5 * * 1
```
Contract Enforcement: hermes-agent-baseline
Category: compliance
Domain: hermes-agent
Owner: abiba
Schedule: Weekly baseline verification Monday at 5am ET
This is a compliance contract. Verify that the contract enforces the required standards and policies. Report any violations found.
Steps:
1. Load contract from prose-contracts/main (file: hermes-agent-baseline.prose.md)
2. Verify prerequisites (connectivity, tools, deps)
3. Execute contract per SOP
4. Run postconditions from contract registry
5. Generate receipt with status (pass/fail/escalated)
6. If any postcondition fails, escalate per contract escalation tiers
7. Log to ~/.hermes/runs/hermes-agent-baseline/
Postconditions to verify:
[
{
"check": "Hermes agent process running",
"verify": "pgrep -f 'hermes' > /dev/null && echo running || echo stopped",
"expect": "running"
},
{
"check": "agent config file exists and valid YAML",
"verify": "test -f /root/.hermes/config.yaml && python3 -c 'import yaml; yaml.safe_load(open(\"/root/.hermes/config.yaml\"))' && echo valid || echo invalid",
"expect": "valid"
},
{
"check": "no uncommitted changes in hermes directory",
"verify": "cd /root/.hermes && git status --porcelain | wc -l",
"expect": "0"
}
]
Escalation Tiers:
- INFO: notify nobody → action: log_to_receipt
- WARNING: notify abiba → action: relay_alert
- CRITICAL: notify abiba, mumuni → action: relay_alert
- FATAL: notify abiba, mumuni, kwame → action: relay_alert + human_required
Circuit Breaker:
- Max retries: 3 per 60.0min window
- On trip: escalate_to_fatal
Receipt format: JSON with contract, run_id, timestamp, agent, status, actions_taken, postconditions, drift_alerts, evidence_path
Receipt storage: ~/.hermes/runs/hermes-agent-baseline/receipt-{timestamp}.json
Graph node: Create RA-H OS node for receipt with metadata: type=receipt, contract=hermes-agent-baseline, status=<status>
If the contract has no postconditions defined (e.g., reference/pattern contracts), log that it was loaded and skip execution.
IMPORTANT: If the contract file does not exist in prose-contracts/main, report failure and do NOT hallucinate forward.
```
---
## proxmox-monitor
**Category:** monitoring | **Domain:** proxmox | **Owner:** abiba | **Schedule:** */15 * * * *
```
Contract Enforcement: proxmox-monitor
Category: monitoring
Domain: proxmox
Owner: abiba
Schedule: Every 15 minutes
This is a monitoring contract. Execute the monitoring checks defined in the contract. Report any deviations from expected state.
Steps:
1. Load contract from prose-contracts/main (file: proxmox-monitor.prose.md)
2. Verify prerequisites (connectivity, tools, deps)
3. Execute contract per SOP
4. Run postconditions from contract registry
5. Generate receipt with status (pass/fail/escalated)
6. If any postcondition fails, escalate per contract escalation tiers
7. Log to ~/.hermes/runs/proxmox-monitor/
Postconditions to verify:
[
{
"check": "all Proxmox nodes reachable",
"verify": "curl -sf http://192.168.68.10:8006/api2/json/status | jq '.status'",
"expect": "healthy"
},
{
"check": "no VMs in crashed state",
"verify": "pvesh get /nodes -output-format=json | jq '.[] | select(.status==\"Crashed\")'",
"expect": "empty"
},
{
"check": "backups running on schedule",
"verify": "pbs-info --check",
"expect": "last_backup < 24h ago"
}
]
Escalation Tiers:
- INFO: notify nobody → action: log_to_receipt
- WARNING: notify abiba, mumuni → action: relay_alert
- CRITICAL: notify abiba, mumuni → action: relay_alert + trigger_remediation
- FATAL: notify abiba, mumuni, kwame → action: relay_alert + pause + human_required
Circuit Breaker:
- Max retries: 3 per 60.0min window
- On trip: escalate_to_fatal
Receipt format: JSON with contract, run_id, timestamp, agent, status, actions_taken, postconditions, drift_alerts, evidence_path
Receipt storage: ~/.hermes/runs/proxmox-monitor/receipt-{timestamp}.json
Graph node: Create RA-H OS node for receipt with metadata: type=receipt, contract=proxmox-monitor, status=<status>
If the contract has no postconditions defined (e.g., reference/pattern contracts), log that it was loaded and skip execution.
IMPORTANT: If the contract file does not exist in prose-contracts/main, report failure and do NOT hallucinate forward.
```
---
## gpu-monitor
**Category:** monitoring | **Domain:** gpu | **Owner:** abiba | **Schedule:** */15 * * * *
```
Contract Enforcement: gpu-monitor
Category: monitoring
Domain: gpu
Owner: abiba
Schedule: Every 15 minutes — polls all GPU subsystems
This is a monitoring contract. Execute the monitoring checks defined in the contract. Report any deviations from expected state.
Steps:
1. Load contract from prose-contracts/main (file: gpu-monitor.prose.md)
2. Verify prerequisites (connectivity, tools, deps)
3. Execute contract per SOP
4. Run postconditions from contract registry
5. Generate receipt with status (pass/fail/escalated)
6. If any postcondition fails, escalate per contract escalation tiers
7. Log to ~/.hermes/runs/gpu-monitor/
Postconditions to verify:
[
{
"check": "GPU metrics accessible",
"verify": "curl -sf http://localhost:9100/gpu-data",
"expect": "200 OK, populated data"
},
{
"check": "dashboard serving",
"verify": "curl -sf http://localhost:9100/gpu-fleet.html",
"expect": "200 OK, HTML returned"
},
{
"check": "health endpoint responsive",
"verify": "curl -sf http://localhost:9100/health",
"expect": "200 OK"
}
]
Escalation Tiers:
- INFO: notify nobody → action: log_to_receipt
- WARNING: notify abiba, mumuni → action: relay_alert
- CRITICAL: notify abiba, mumuni → action: relay_alert + trigger_remediation
- FATAL: notify abiba, mumuni, kwame → action: relay_alert + pause + human_required
Circuit Breaker:
- Max retries: 3 per 60.0min window
- On trip: escalate_to_fatal
Receipt format: JSON with contract, run_id, timestamp, agent, status, actions_taken, postconditions, drift_alerts, evidence_path
Receipt storage: ~/.hermes/runs/gpu-monitor/receipt-{timestamp}.json
Graph node: Create RA-H OS node for receipt with metadata: type=receipt, contract=gpu-monitor, status=<status>
If the contract has no postconditions defined (e.g., reference/pattern contracts), log that it was loaded and skip execution.
IMPORTANT: If the contract file does not exist in prose-contracts/main, report failure and do NOT hallucinate forward.
```
---
## infrastructure-monitoring
**Category:** monitoring | **Domain:** infrastructure | **Owner:** abiba | **Schedule:** */30 * * * *
```
Contract Enforcement: infrastructure-monitoring
Category: monitoring
Domain: infrastructure
Owner: abiba
Schedule: Every 30 minutes
This is a monitoring contract. Execute the monitoring checks defined in the contract. Report any deviations from expected state.
Steps:
1. Load contract from prose-contracts/main (file: infrastructure-monitoring.prose.md)
2. Verify prerequisites (connectivity, tools, deps)
3. Execute contract per SOP
4. Run postconditions from contract registry
5. Generate receipt with status (pass/fail/escalated)
6. If any postcondition fails, escalate per contract escalation tiers
7. Log to ~/.hermes/runs/infrastructure-monitoring/
Postconditions to verify:
[
{
"check": "Proxmox API reachable",
"verify": "curl -sf http://192.168.68.10:8006/api2/json",
"expect": "200 OK"
},
{
"check": "Zulip API reachable",
"verify": "curl -sf https://chat.sysloggh.net/api/v1/me",
"expect": "200 OK"
},
{
"check": "LiteLLM proxy reachable",
"verify": "curl -sf http://192.168.68.116/litellm/v1/models",
"expect": "200 OK"
},
{
"check": "Gitea API reachable",
"verify": "curl -sf https://git.sysloggh.net/api/v1/version",
"expect": "200 OK"
},
{
"check": "SearXNG reachable",
"verify": "curl -sf http://192.168.68.17:8080",
"expect": "200 OK"
}
]
Escalation Tiers:
- INFO: notify nobody → action: log_to_receipt
- WARNING: notify abiba, mumuni → action: relay_alert
- CRITICAL: notify abiba, mumuni → action: relay_alert + trigger_remediation
- FATAL: notify abiba, mumuni, kwame → action: relay_alert + pause + human_required
Circuit Breaker:
- Max retries: 3 per 60.0min window
- On trip: escalate_to_fatal
Receipt format: JSON with contract, run_id, timestamp, agent, status, actions_taken, postconditions, drift_alerts, evidence_path
Receipt storage: ~/.hermes/runs/infrastructure-monitoring/receipt-{timestamp}.json
Graph node: Create RA-H OS node for receipt with metadata: type=receipt, contract=infrastructure-monitoring, status=<status>
If the contract has no postconditions defined (e.g., reference/pattern contracts), log that it was loaded and skip execution.
IMPORTANT: If the contract file does not exist in prose-contracts/main, report failure and do NOT hallucinate forward.
```
---
## zulip-health
**Category:** monitoring | **Domain:** zulip | **Owner:** abiba | **Schedule:** */15 * * * *
```
Contract Enforcement: zulip-health
Category: monitoring
Domain: zulip
Owner: abiba
Schedule: Every 15 minutes — monitors all Zulip-connected agents
This is a monitoring contract. Execute the monitoring checks defined in the contract. Report any deviations from expected state.
Steps:
1. Load contract from prose-contracts/main (file: zulip-health.prose.md)
2. Verify prerequisites (connectivity, tools, deps)
3. Execute contract per SOP
4. Run postconditions from contract registry
5. Generate receipt with status (pass/fail/escalated)
6. If any postcondition fails, escalate per contract escalation tiers
7. Log to ~/.hermes/runs/zulip-health/
Postconditions to verify:
[
{
"check": "bot registration active",
"verify": "curl -sf https://chat.sysloggh.net/api/v1/me | jq '.user_id'",
"expect": "bot_id present"
},
{
"check": "DM delivery working",
"verify": "curl -sf https://chat.sysloggh.net/api/v1/users/me/is-online",
"expect": "online: true"
}
]
Escalation Tiers:
- INFO: notify nobody → action: log_to_receipt
- WARNING: notify abiba, mumuni → action: relay_alert
- CRITICAL: notify abiba, mumuni → action: relay_alert + trigger_remediation
- FATAL: notify abiba, mumuni, kwame → action: relay_alert + pause + human_required
Circuit Breaker:
- Max retries: 3 per 60.0min window
- On trip: escalate_to_fatal
Receipt format: JSON with contract, run_id, timestamp, agent, status, actions_taken, postconditions, drift_alerts, evidence_path
Receipt storage: ~/.hermes/runs/zulip-health/receipt-{timestamp}.json
Graph node: Create RA-H OS node for receipt with metadata: type=receipt, contract=zulip-health, status=<status>
If the contract has no postconditions defined (e.g., reference/pattern contracts), log that it was loaded and skip execution.
IMPORTANT: If the contract file does not exist in prose-contracts/main, report failure and do NOT hallucinate forward.
```
---
## litellm-health
**Category:** monitoring | **Domain:** litellm | **Owner:** abiba | **Schedule:** */10 * * * *
```
Contract Enforcement: litellm-health
Category: monitoring
Domain: litellm
Owner: abiba
Schedule: Every 10 minutes — LiteLLM proxy health
This is a monitoring contract. Execute the monitoring checks defined in the contract. Report any deviations from expected state.
Steps:
1. Load contract from prose-contracts/main (file: litellm-health.prose.md)
2. Verify prerequisites (connectivity, tools, deps)
3. Execute contract per SOP
4. Run postconditions from contract registry
5. Generate receipt with status (pass/fail/escalated)
6. If any postcondition fails, escalate per contract escalation tiers
7. Log to ~/.hermes/runs/litellm-health/
Postconditions to verify:
[
{
"check": "LiteLLM proxy reachable",
"verify": "curl -sf http://192.168.68.116/litellm/v1/models",
"expect": "200 OK, models returned"
},
{
"check": "router deprecated, nginx routes work",
"verify": "curl -sf https://litellm.sysloggh.net/v1/models",
"expect": "200 OK (via nginx)"
}
]
Escalation Tiers:
- INFO: notify nobody → action: log_to_receipt
- WARNING: notify abiba, mumuni → action: relay_alert
- CRITICAL: notify abiba, mumuni → action: relay_alert + trigger_remediation
- FATAL: notify abiba, mumuni, kwame → action: relay_alert + pause + human_required
Circuit Breaker:
- Max retries: 3 per 60.0min window
- On trip: escalate_to_fatal
Receipt format: JSON with contract, run_id, timestamp, agent, status, actions_taken, postconditions, drift_alerts, evidence_path
Receipt storage: ~/.hermes/runs/litellm-health/receipt-{timestamp}.json
Graph node: Create RA-H OS node for receipt with metadata: type=receipt, contract=litellm-health, status=<status>
If the contract has no postconditions defined (e.g., reference/pattern contracts), log that it was loaded and skip execution.
IMPORTANT: If the contract file does not exist in prose-contracts/main, report failure and do NOT hallucinate forward.
```
---
## memory-audit-maintenance
**Category:** maintenance | **Domain:** memory | **Owner:** mumuni | **Schedule:** 0 3 * * *
```
Contract Enforcement: memory-audit-maintenance
Category: maintenance
Domain: memory
Owner: mumuni
Schedule: Daily at 3am ET
This is a maintenance contract. Execute the maintenance tasks defined in the contract. Report any issues found.
Steps:
1. Load contract from prose-contracts/main (file: memory-audit-maintenance.prose.md)
2. Verify prerequisites (connectivity, tools, deps)
3. Execute contract per SOP
4. Run postconditions from contract registry
5. Generate receipt with status (pass/fail/escalated)
6. If any postcondition fails, escalate per contract escalation tiers
7. Log to ~/.hermes/runs/memory-audit-maintenance/
Postconditions to verify:
[
{
"check": "memory files below 80% capacity",
"verify": "wc -l ~/.hermes/memories/*.md",
"expect": "total lines < threshold"
},
{
"check": "no stale entries",
"verify": "grep -r 'STALE' ~/.hermes/memories/",
"expect": "0 matches"
}
]
Escalation Tiers:
- INFO: notify nobody → action: log_to_receipt
- WARNING: notify mumuni → action: relay_alert
- CRITICAL: notify mumuni, abiba → action: relay_alert
- FATAL: notify mumuni, abiba, kwame → action: relay_alert + human_required
Circuit Breaker:
- Max retries: 3 per 60.0min window
- On trip: escalate_to_fatal
Receipt format: JSON with contract, run_id, timestamp, agent, status, actions_taken, postconditions, drift_alerts, evidence_path
Receipt storage: ~/.hermes/runs/memory-audit-maintenance/receipt-{timestamp}.json
Graph node: Create RA-H OS node for receipt with metadata: type=receipt, contract=memory-audit-maintenance, status=<status>
If the contract has no postconditions defined (e.g., reference/pattern contracts), log that it was loaded and skip execution.
IMPORTANT: If the contract file does not exist in prose-contracts/main, report failure and do NOT hallucinate forward.
```
---
## infrastructure-update
**Category:** maintenance | **Domain:** infrastructure | **Owner:** abiba | **Schedule:** 0 2 * * 0
```
Contract Enforcement: infrastructure-update
Category: maintenance
Domain: infrastructure
Owner: abiba
Schedule: Weekly system updates Sunday at 2am ET
This is a maintenance contract. Execute the maintenance tasks defined in the contract. Report any issues found.
Steps:
1. Load contract from prose-contracts/main (file: infrastructure-update.prose.md)
2. Verify prerequisites (connectivity, tools, deps)
3. Execute contract per SOP
4. Run postconditions from contract registry
5. Generate receipt with status (pass/fail/escalated)
6. If any postcondition fails, escalate per contract escalation tiers
7. Log to ~/.hermes/runs/infrastructure-update/
Postconditions to verify:
[
{
"check": "all services running after update",
"verify": "systemctl list-units --state=running",
"expect": "all critical services"
}
]
Escalation Tiers:
- INFO: notify nobody → action: log_to_receipt
- WARNING: notify abiba → action: relay_alert
- CRITICAL: notify abiba, mumuni → action: relay_alert
- FATAL: notify abiba, mumuni, kwame → action: relay_alert + human_required
Circuit Breaker:
- Max retries: 1 per 120.0min window
- On trip: escalate_to_fatal
Receipt format: JSON with contract, run_id, timestamp, agent, status, actions_taken, postconditions, drift_alerts, evidence_path
Receipt storage: ~/.hermes/runs/infrastructure-update/receipt-{timestamp}.json
Graph node: Create RA-H OS node for receipt with metadata: type=receipt, contract=infrastructure-update, status=<status>
If the contract has no postconditions defined (e.g., reference/pattern contracts), log that it was loaded and skip execution.
IMPORTANT: If the contract file does not exist in prose-contracts/main, report failure and do NOT hallucinate forward.
```
---
*End of review*
+132 -47
View File
@@ -5,13 +5,16 @@ description: >
Manages the GPU inference fleet across all hosts. Handles model deployment,
registration, health checks, LiteLLM sync, agent key management, GPU
saturation watchdog, Prometheus/Grafana monitoring, and self-healing.
UPDATED 2026-07-12: Architecture is DIRECT GPU — LiteLLM routes directly
to llama-server on each GPU host (no router in inference path). Router
(port 9000) is running but NOT in request path. All GPUs standardized on
api-key 'not-needed'. RTX 5070 had api-key mismatch (sk-loc...5678) that
caused cascading 401→timeout→401 fallback loops — fixed.
Context: RTX 3090 verified at 256K (was documented as 128K — WRONG).
Workload: Compression moved to Strix Halo, RTX 5070 → vision/web only.
UPDATED 2026-07-15: Stable role-based aliases introduced: strix-moe,
gpu-dense, gpu-light. These never change — only the underlying model does.
Strix Halo: strix-moe → unsloth/Qwen3.6-35B-A3B-MTP (UD-Q4_K_M, 22GB).
RTX 5070: gemma-4-12b Q4_K_M → IQ4_NL + MTP draft (122 tok/s, 2x faster).
UPDATED 2026-07-17: Strix Halo model swapped to Genesis Hermes V3 APEX (LuffyTheFox, 24GB, uncensored,
Hermes agent fine-tune, tensor repair, multimodal with mmproj).
RTX 5070 swapped to HauhauCS Gemma4-12B QAT Uncensored Balanced (Q4_K_M, 87 tok/s, 0/465 refusals).
Instability observed near 100K at 256K. 128K is the stable ceiling.
For larger context needs → fall back to external providers (deepseek).
VRAM headroom improved: RTX 3090 ~70%, RTX 5070 ~65%.
agent: abiba
triggers:
- on model add/remove
@@ -68,48 +71,84 @@ triggers:
│ CT 8 │ │ CT 110 │ │ CT 15 │ │ pi (.24) │
│ RTX 3090 │ │ RTX 5070 │ │ Strix Halo│ │ GPU Monitor │
│ 24GB │ │ 12GB │ │ 64GB UMA │ │ :9100 │
256K ctx │ │ 131K ctx │ │ 256K ctx │ │ Watchdog │
│ qwen3.6 │ │ gemma-4-12b │ │ ornith35B │ │ Prometheus │
│ 27B-code │ │ :8080 │ │ :8080 │ │ exporter │
128K ctx │ │ 128K ctx │ │ 128K ctx │ │ Watchdog │
│ qwen3.6 │ │ gemma-4-12b │ │ qwen3.6 │ │ Prometheus │
│ 27B-code │ │ :8080 │ │ -35B-udq4 │ │ exporter │
│ :8080 │ │ :9400 (exp) │ │ :9400(exp)│ │ :9401 │
│ :9400 │ └─────────────┘ └───────────┘ └──────────────┘
└──────────┘
```
## Current Model Assignments (2026-07-12)
## Stable Role-Based Aliases (Introduced 2026-07-15)
Agent configs, cron jobs, and workflows MUST use these aliases, never model-specific names.
When a model is swapped on a GPU, ONLY the infrastructure layer changes — agent configs are untouched.
| Alias | GPU | Current Model | Will Route To |
|-------|-----|---------------|---------------|
| `strix-moe` | Strix Halo (.15) | qwen3.6-35B-udq4 | Whatever runs on Strix Halo |
| `gpu-dense` | RTX 3090 (.8) | qwen3.6-27B-code (ThinkingCap) | Whatever runs on RTX 3090 |
| `gpu-light` | RTX 5070 (.110) | gemma-4-12b | Whatever runs on RTX 5070 |
**Backward compatibility**: Old model-specific names (qwen3.6-27B-code, gemma-4-12b, qwen3.6-35B-udq4) still work
but are deprecated for agent configs. Only the stable aliases survive model swaps.
## Current Model Assignments (2026-07-17)
| Model | GPU | Host | VRAM | Ctx | KV Cache | Parallel | Batch/Ubatch | Status |
|-------|-----|------|------|-----|----------|----------|-------------|--------|
| qwen3.6-27B-code | RTX 3090 | .8 (llm-gpu) | 20.7/24GB (84%) | **256K** | turbo4 | 1 | default | ✅ healthy |
| gemma-4-12b | RTX 5070 | .110 (ocu-llm) | 10.0/12.2GB (82%) | 131K | q4_0 | 2 | 2048/1024 | ✅ healthy |
| ornith-1.0-35b | Strix Halo Vulkan | .15 (amdpve) | ~9GB/64GB | 256K | q8_0 | 2 | 2048/512 | ✅ healthy |
| qwen3.6-27B-code (ThinkingCap) | RTX 3090 | .8 (llm-gpu) | ~20.9/24.6GB (85%) | **128K** | turbo4 | 1 | default | ✅ 68 tok/s |
| gemma-4-12b (HauhauCS QAT) | RTX 5070 | .110 (ocu-llm) | ~10.0/12.2GB (82%) | 128K | q4_0 | 1 | 2048/1024 | ✅ 87 tok/s |
| Genesis Hermes V3 APEX | Strix Halo Vulkan | .15 (amdpve) | ~10GB/64GB | 128K | q4_0 | 1 | 4096/1024 | ✅ 65 tok/s |
> **RTX 5070 model swap (2026-07-17)**: Switched from `gemma-4-12b-it-IQ4_NL` (Unsloth, 191 tok/s)
> to `HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced` (Q4_K_M QAT, 87 tok/s).
> Trade: 54% slower generation for QAT quality, 0/465 refusals, and agent-optimized tuning.
> MTP draft also swapped: Q8_0 (444MB) → tuned draft (242MB), saving 200MB VRAM.
> Role unchanged: gpu-light (vision, web extract, light auxiliary tasks).
> **RTX 3090 model swap (2026-07-17)**: Switched from `Qwopus3.6-27B-v2-MTP-Q4_K_M` (63 tok/s)
> to `bottlecapai/ThinkingCap-Qwen3.6-27B` (Q4_K_M QAT, 68 tok/s).
> RL-finetuned: 50% fewer thinking tokens, MMLU-Pro 0.85 vs 0.83 base.
> Self-spec MTP REQUIRED (crashes without it on turboquant build).
> Added vision via mmproj (0.9GB). VRAM 85%.
## Routing Configuration (LiteLLM — July 2026)
### syslog-auto Weighted Pool
### syslog-auto Weighted Pool (Direct GPU — bypasses router)
| Model | GPU | Weight | RPM Cap | Purpose |
| Model | GPU | Weight | RPM Cap | Timeout |
|-------|-----|--------|---------|---------|
| qwen3.6-27B-code | RTX 3090 | 0.55 | 500 | Heavy reasoning, code, long context |
| ornith-1.0-35b | Strix Halo | 0.30 | **60** | Agentic workflows, tool calling |
| gemma-4-12b | RTX 5070 | 0.15 | 200 | Overflow + vision |
| qwen3.6-27B-code | RTX 3090 (.8:8080) | **0.55** | 500 | **300s** |
| Genesis Hermes V3 APEX | Strix Halo (.15:8080) | **0.30** | 60 | **300s** |
| gemma-4-12b | RTX 5070 (.110:8080) | **0.15** | 200 | **120s** |
Note: All syslog-auto entries route directly to GPUs with `api_key: not-needed`. The router (port 9000) is NOT in the inference path.
### Direct Model Endpoints
| Model | RPM Cap | Notes |
|-------|---------|-------|
| ornith-1.0-35b | 40 | Tight cap — prevents Strix overload |
| qwen3.6-27B-code | 500 | High cap — primary workhorse |
| gemma-4-12b | 500 | High cap — fast 12B |
| strix-moe (Hermes V3) | 40 | Tight cap — prevents Strix overload |
| qwen3.6-27B-code | 500 | ThinkingCap Q4_K_M + MTP self-spec + vision, 68 tok/s |
| gemma-4-12b | 500 | HauhauCS QAT Uncensored Balanced + MTP, 87 tok/s |
### Stable Aliases (for agent configs — never change)
| Alias | RPM Cap | Routes To | Purpose |
|-------|---------|-----------|---------|
| `strix-moe` | 40 | Strix Halo | Compression tasks (MoE models) |
| `gpu-dense` | 500 | RTX 3090 (ThinkingCap) | Heavy reasoning, code gen, delegation |
| `gpu-light` | 500 | RTX 5070 (HauhauCS QAT) | Vision, web extract, light tasks |
### Fallback Chains
- gemma → qwen
- qwen → gemma
- ornith → qwen → gemma
- syslog-auto → qwen → gemma → ornith
- strix-moe → qwen → gemma
- syslog-auto → qwen → gemma → qwen3.6-35B-udq4
### Why ornith RPM Is Capped
- Direct: 40 RPM (tight) — Strix Halo is shared with compression tasks
### Why Strix Halo RPM Is Capped
- Direct (strix-moe): 40 RPM (tight) — Strix Halo is shared with compression tasks
- Via syslog-auto: 60 RPM (moderate) — prevents flooding when multiple agents use syslog-auto simultaneously
- Combined max: ~100 RPM across both paths — Strix Halo can sustain this at 80°C
@@ -163,7 +202,7 @@ Show full fleet status: GPUs, models, VRAM, context windows, parallel slots, act
3. Check LiteLLM: `curl http://192.168.68.116/health` (expect "I'm alive!")
4. Check LiteLLM models: `curl -H "Authorization: Bearer $MASTER_KEY" http://192.168.68.116/v1/models`
5. Check LiteLLM timeouts: `grep -n 'timeout:' /opt/inference-harness/litellm_config.yaml`
- gemma-4-12b: 120s, qwen3.6-27B: 90s, ornith-1.0-35b: 120s
- gemma-4-12b: 120s, qwen3.6-27B-code: 300s, qwen3.6-35B-udq4/strix-moe: 300s (strix-moe does NOT exist — legacy name, do not use)
- global request_timeout: 300s, nginx proxy_read_timeout: 600s
6. Check AMD metrics: `curl http://192.168.68.15:9400/metrics` (Radeon 8060S, util%, VRAM, temp, power)
7. Check port conflicts: verify only one llama-server on :8080 per host
@@ -203,7 +242,7 @@ If no SSH access, send Zulip DM via abiba-bot with vault update instructions.
| `/root/scripts/gpu-saturation-watchdog.py` | pi (.24) | Auto-restart stuck llama-server |
| `/root/dashboard/gpu-fleet.html` | pi (.24) | Live HTML dashboard |
| `/etc/systemd/system/llama-server.service` | .8, .110 | llama-server daemons (Nvidia GPUs) |
| `/etc/systemd/system/ornith-server.service` | .15 (amdpve) | llama-server daemon (Vulkan, Strix Halo). Note: `llama-server.service` and `llama-server@.service` are **masked** on .15 to prevent port 8080 collisions. |
| `/etc/systemd/system/strix-server.service` | .15 (amdpve) | llama-server daemon (Vulkan, Strix Halo) running unsloth/Qwen3.6-35B-A3B-MTP-GGUF. Note: `llama-server.service` and `llama-server@.service` are **masked** on .15 to prevent port 8080 collisions. |
## Prometheus & Grafana
@@ -220,14 +259,14 @@ If no SSH access, send Zulip DM via abiba-bot with vault update instructions.
- **Router startup race**: Compose router.py doesn't call load_roster(). Reload thread sleeps 30s first.
Fix: trigger roster reload via SSH after restart, or rebuild image with startup load_roster().
- **LiteLLM /metrics**: Requires auth. Prometheus uses `/health/liveliness` as workaround.
- **VRAM (2026-07-12)**: RTX 3090 at 20.7/24GB (84%), RTX 5070 at 10.0/12.2GB (82%). RTX 3090 context increased to 256K (was incorrectly documented as 128K — verified via /proc/PID/cmdline).
- **RTX 3090 runs `--parallel 1`** (verified 2026-07-12). RTX 5070 and Strix at parallel 2.
- **RTX 3090 config**: `-c 262144 -ctk turbo4 -ctv turbo4 --parallel 1 --flash-attn on --cont-batching`. Service: `/home/llmuser/llama-wrapper.sh`.
- **RTX 5070 config**: `--ctx-size 131072 --cache-type-k q4_0 --cache-type-v q4_0 --batch-size 2048 --ubatch-size 1024 --parallel 2`. Api-key standardized to `not-needed` (was `sk-loc...5678` causing 401 loops). Service: `/home/llmuser/llama-wrapper.sh`.
- **LiteLLM timeout tuning (2026-07-08)**: gemma-4-12b 25→120s, qwen3.6-27B-code 40→90s, syslog-auto (qwen route) 40→90s. Nginx proxy_read_timeout: 600s. Global request_timeout: 300s. Config at `/opt/inference-harness/litellm_config.yaml`.
- **Strix Halo GPU**: Vulkan is the working backend (ROCm/HIP path abandoned — HSA runtime blocked on Debian 13). Build at `/root/llama.cpp/build-vk/`, commit `4fc4ec5` (2026-07-01), ggml 0.15.3 shared-lib arch. Mesa RADV 25.0.7, KHR_coopmat fast path active. ~70 tok/s gen, 532 tok/s prompt. Service: `ornith-server.service` on port 8080, 256K context, flash-attn + q8 KV.
- **VRAM (2026-07-15)**: RTX 3090 at ~17/24.6GB (~70%) with **128K context** (reduced from 256K 2026-07-17). RTX 5070 at ~7.8/12.2GB (~65%) with 128K context + MTP. Strix Halo at ~7GB/64GB.
- **RTX 3090 runs `--parallel 2`** with MTP draft (spec-type draft-mtp, spec-draft-n-max 2).
- **RTX 3090 config**: `-c 131072 -ctk turbo4 -ctv turbo4 --parallel 1 --flash-attn on --cont-batching --spec-type draft-mtp --spec-draft-n-max 4`. ThinkingCap Qwen3.6-27B Q4_K_M (15.7GB) + mmproj (0.9GB) + MTP self-spec. VRAM: ~85%. Service: `/home/llmuser/llama-wrapper.sh`. ⚠️ MTP REQUIRED for stability on this turboquant build — model segfaults without `--spec-type draft-mtp`. Outputs reasoning_content (hidden from agent, improves answer quality).
- **RTX 5070 config (2026-07-17)**: HauhauCS Gemma4-12B QAT Uncensored Balanced (Q4_K_M) + tuned MTP draft (242MB) at 128K context, single slot. Gen speed: 87 tok/s (vs 191 IQ4_NL). VRAM: ~10.0/12.2GB (~82%). Service: `/home/llmuser/llama-wrapper.sh`. Model: `Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced-Q4_K_M.gguf`, MTP: `mtp-gemma-4-12B-it.gguf`, mmproj: `mmproj-Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced-BF16.gguf`. Recommended sampling: temp 0.6, top_k 64, top_p 0.9, min_p 0.05, repeat_penalty 1.1.
- **LiteLLM timeout tuning (verified 2026-07-16 against `/opt/inference-harness/litellm_config.yaml` on CT 116)**: gemma-4-12b 120s, qwen3.6-27B-code 300s, qwen3.6-35B-udq4 300s, strix-moe 300s, syslog-auto routes all 300s. Nginx proxy_read_timeout: 600s. Global request_timeout: 300s.
- **Strix Halo GPU**: Vulkan is the working backend (ROCm/HIP path abandoned — HSA runtime blocked on Debian 13). Build at `/root/llama.cpp/build-vk/`, commit `4fc4ec5` (2026-07-01), ggml 0.15.3 shared-lib arch. Mesa RADV 25.0.7, KHR_coopmat fast path active. ~70 tok/s gen, 532 tok/s prompt. Service: `strix-server.service` on port 8080, model: `LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V3-GGUF` (APEX quant), alias `strix-moe`, 128K context, flash-attn + q4 KV, multimodal (mmproj loaded). Hermes agent fine-tune, tensor repair (SSM layers fixed via SVD), uncensored (0/465 refusals).
- **Port conflict detection (2026-07-05)**: All 3 GPU wrappers now detect ghost processes squatting port 8080 before starting. `.8` and `.110` use inline pre-start check in `llama-wrapper.sh`; `.15` uses `/usr/local/bin/port-cleanup.sh` ExecStartPre. Replaces the blanket `pkill -9 -x llama-server` on .15 which would kill ALL llama-server instances regardless of port. Ghost detection was the root cause of .8 crash-looping for 27+ restarts (stale pid 25836 squatting 8080 after OOM kill).
- **Strix Halo thermal safeguard (2026-07-02)**: `ornith-server.service` has `-n 8192` (hard generation cap per request). Without it, `--predict` defaults to -1 (infinity) — a runaway request from .123 (Mumuni) decoded 39,868 tokens over 24 min, pushing Tctl to 98°C (crit 89.8°C) and throttling 70→29 t/s. The cap bounds worst-case generation to ~5 min. Do NOT remove `-n` without a replacement ceiling. Sustained load hits ~84°C even at 92s; the APU is fanless/low-flow. Clients MUST also set `max_tokens`.
- **Strix Halo thermal safeguard (2026-07-02)**: `strix-server.service` has `-n 8192` (hard generation cap per request). Without it, `--predict` defaults to -1 (infinity) — a runaway request from .123 (Mumuni) decoded 39,868 tokens over 24 min, pushing Tctl to 98°C (crit 89.8°C) and throttling 70→29 t/s. The cap bounds worst-case generation to ~5 min. Do NOT remove `-n` without a replacement ceiling. Sustained load hits ~84°C even at 92s; the APU is fanless/low-flow. Clients MUST also set `max_tokens`.
- **Port 8080 firewall**: amdpve iptables restricts 8080 to 192.168.68.116 (LiteLLM/router host) only. All inbound connections are from .116 (LiteLLM proxied via nginx). Localhost curls hang (SYN dropped). Always test from .116.
- **Router sidecar fallback**: `router.py` `check_gpu_health()` now probes GPU `/health` directly when sidecar at :8090 is absent. Sidecar JSON exporters not deployed on any GPU host — router relies on GPU-direct fallback.
- **Router GPU_MOE_URL bug (fixed 2026-07-01)**: docker-compose had `GPU_MOE_URL=.110:8080` (gemma host) instead of `.15:8080` (amdpve). Corrected.
@@ -237,11 +276,14 @@ If no SSH access, send Zulip DM via abiba-bot with vault update instructions.
## GPU Inference Benchmarks (Current)
| GPU | Model | Gen tok/s | Prompt tok/s | Baseline | Samples |
| GPU | Model | Gen tok/s | Prompt tok/s | Baseline | Context |
|-----|-------|-----------|--------------|----------|---------|
| RTX 3090 (.8) | qwen3.6-27B-code | 75 | 305 | 74 | 6 |
| RTX 5070 (.110) | gemma-4-12b | 75 | 323 | 75 | 6 |
| Strix Halo (.15) | ornith-1.0-35b | 70 | 532 | 70 | 6 |
| RTX 3090 (.8) | ThinkingCap-Qwen3.6-27B Q4_K_M | **68** | — | | **128K** |
| RTX 5070 (.110) | HauhauCS QAT Uncensored Balanced | **87** | — | | **128K** |
| Strix Halo (.15) | Genesis Hermes V3 APEX | **65** | 140 | — | **128K** |
Benchmarks from 2026-07-17. Strix Halo swapped to Genesis Hermes V3 APEX (LuffyTheFox). RTX 5070 MTP provides 2.7x speedup over pre-upgrade 70 tok/s.
All 3 GPUs now at 128K context (2026-07-17, reduced from 256K for stability).
Benchmarks run through LiteLLM proxy (192.168.68.116:4001) every 5 minutes.
Degradation alerts fire at 30% (warning) and 50% (critical) below baseline.
@@ -249,12 +291,55 @@ History stored at `/root/data/toks-history.json` with 7-day rolling window.
**Note (2026-07-01)**: Strix Halo prompt tok/s jumped 209→532 after Vulkan rebuild (cooperative-matrix fast path now active on GFX1151). Baseline may need re-calibration.
## Agent Config Implications (2026-07-12)
## Agent Config Implications (2026-07-15)
With RTX 3090 at 256K context (verified July 2026):
- Agents using `syslog-auto` (55/30/15 qwen+ornith+gemma): `context_length: 262144` — ornith and qwen both support it
- Agents using `qwen3.6-27B-code` directly: `context_length: 262144` (256K ctx verified)
- Agents using `gemma-4-12b` directly (auxiliary tasks): `context_length: 131072`
- Compression threshold at 0.65: fires at ~170K for 262K context window on Strix Halo
- All Hermes clients MUST set `max_tokens: 4096` — first line of defense before server-side `-n 8192` cap
- Port 8080 is used on all 3 GPU hosts (not 8090 as previously documented)
### Stable Aliases — CRITICAL
All agent configs MUST use stable role-based aliases, never model-specific names:
- `compression.model: strix-moe` (NOT `qwen3.6-35B-udq4`)
- `auxiliary.vision.model: gpu-light` (NOT `gemma-4-12b`)
- `delegation.model: gpu-dense` (NOT `qwen3.6-27B-code`)
- `auxiliary.web_extract.model: gpu-light`
When the underlying model is swapped, only the LiteLLM config changes — agent configs are untouched.
### Context Windows
- RTX 3090: **128K** (reduced from 256K 2026-07-17) | RTX 5070: **128K** (reduced from 256K) | Strix Halo: **128K**
- **All agents**: 128K ceiling — stable margin. For >128K workloads, use external providers (deepseek)
- Compression threshold 0.65: fires at ~85K (~43K headroom before 128K ceiling)
- Mumuni compression model alias: `strix-moe` with 300s timeout
### Mumuni Agent Profile
Mumuni (CT114, 192.168.68.123) is the primary business assistant. This profile is the reference for all agent configs:
| Setting | Value | Notes |
|---------|-------|-------|
| `model.default` | `syslog-auto` | Weighted pool (55% qwen, 30% strix, 15% gemma) |
| `model.provider` | `custom:litellm` | LiteLLM on CT116 |
| `compression.model` | `strix-moe` | Stable alias — survives model swaps |
| `aux.compression.model` | `strix-moe` | Compression auxiliary model |
| `aux.vision.model` | `gpu-light` | Vision tasks (RTX 5070) |
| `aux.web_extract.model` | `gpu-light` | Web extraction |
| `delegation.model` | `gpu-dense` | Sub-agent reasoning (RTX 3090) |
| `context.max_context_window` | 131072 (128K) | Reduced from 256K 2026-07-17 — stable 128K ceiling |
| `compression.threshold` | 0.65 | Triggers at ~85K |
| `compression.target_ratio` | 0.3 | Compresses to ~38K |
| `compression.protect_last_n` | 40 | Preserves last 40 messages |
| `memory.memory_char_limit` | 800 | Brief memory entries |
| `personalities` | `creative` | Creative assistant personality |
| Platforms | cli, discord, homeassistant, signal, telegram, zulip | All Hermes platforms |
| Main model timeout | 300s | LiteLLM global timeout |
| Compression model timeout | 300s | strix-moe timeout increased from 120s |
### Agent Update Status (2026-07-15)
| Agent | Host | Status |
|-------|------|--------|
| **Mumuni** | CT114 (.123) | ✅ Updated to stable aliases |
| **Tanko** | CT112 (.122) | ✅ Updated to stable aliases |
| **Koby** | CT111 (.129) | ❌ SSH unreachable — needs Zulip DM |
| **Koonimo** | CT113 | ❌ SSH unreachable — needs Zulip DM |
| **Kagenz0** | CT105 | ❌ SSH unreachable — needs Zulip DM |
All Hermes clients MUST set `max_tokens: 4096` — first line of defense before server-side `-n 8192` cap.
+93 -69
View File
@@ -6,10 +6,15 @@ description: >
benchmarks, and predicts failures before they happen. Extends gpu-monitor
(v2.1.0) with active remediation rules, Prometheus metrics consumption,
VRAM trend analysis, and predictive alerting.
UPDATED 2026-07-18: Model assignments synced to 2026-07-17 swaps.
Router (port 9000) references replaced with direct GPU routing.
Benchmark baselines refreshed to live values.
Prometheus exporters removed — not deployed; fall back to direct sidecar probes.
Stable role-based aliases (strix-moe, gpu-dense, gpu-light) from gpu-fleet.
agent: abiba
depends_on:
- gpu-monitor.prose.md (live data source on .24:9100)
- gpu-fleet.prose.md (source of truth for topology)
- gpu-fleet.prose.md (source of truth for topology, aliases, model assignments)
---
## Maintains
@@ -22,8 +27,8 @@ depends_on:
## Requires
- gpu-monitor:function — Live fleet data from .24:9100/gpu-data
- Prometheus exporters on all 3 GPUs (:9400/metrics)
- gpu-monitor:function — Live fleet data from localhost:9100/gpu-data
- Direct sidecar probe access to all GPU hosts (:8080/health)
- SSH access to GPU hosts for restart operations
## Continuity
@@ -35,21 +40,37 @@ depends_on:
---
## Current Fleet Baseline (2026-07-18)
| Alias | GPU | Host | Model | VRAM | Ctx | tok/s | Role |
|-------|-----|------|-------|------|-----|-------|------|
| `gpu-dense` | RTX 3090 24GB | ct8 (.8:8080) | ThinkingCap Qwen3.6-27B Q4_K_M + MTP + vision | 21.6/24.6GB (88%) | 128K | 74.9 | Heavy reasoning, code gen |
| `gpu-light` | RTX 5070 12GB | ct110 (.110:8080) | HauhauCS Gemma4-12B QAT Q4_K_M + MTP draft | 10.1/12.2GB (83%) | 128K | 169.6 | Vision, web extract, light tasks |
| `strix-moe` | Strix Halo 64GB | ct15 (.15:8080) | Genesis Hermes V3 APEX (LuffyTheFox, 24GB) | ~10/64GB (16%) | 128K | 62.9 | Compression, summarization, long docs |
Key notes:
- All models use direct GPU routing via LiteLLM (`api_key: not-needed`). Router (port 9000) is deprecated and NOT in the inference path.
- Stable aliases (gpu-dense, gpu-light, strix-moe) from gpu-fleet are the canonical names for agent configs. Model-specific names still work but are deprecated.
- RTX 5070 tok/s is 2.3x faster than RTX 3090 for its model — gpu-light is the fastest endpoint. Route vision/web/light work there first.
- Strix Halo is 62.9 tok/s (89% of 70.5 baseline) — below optimal but stable. Check for competing workloads.
- RTX 3090 VRAM at 88% — within role-appropriate range (role = heavy reasoning, needs the headroom).
- RTX 5070 VRAM at 83% — role-appropriate for vision/web (smaller batch sizes).
## Remediation Rules
### Rule 1: GPU Temperature Critical (>85°C for >2 min)
- **Detect**: Any GPU temp >85°C sustained for 2+ consecutive polls
- **Fix**:
1. Reduce inference concurrency on that GPU (load-side cooling only — NO fan control)
2. Redirect new requests to cooler GPUs via LiteLLM fallback chains
2. Redirect new requests to cooler GPUs via LiteLLM fallback chains (gemma → qwen, qwen → gemma)
3. If all GPUs hot, alert about cooling infrastructure
- **Verify**: Temp drops below 80°C within 5 minutes
- **Escalate after**: 3 verification failures → Zulip alert
### Rule 2: VRAM Leak Detection (tiered by GPU capacity)
- **Detect**: VRAM growing at sustained rate over 6+ hour window
- RTX 3090 (24GB): ≥100MB/hour
- RTX 5070 (12GB): ≥50MB/hour
- RTX 3090 (24GB): ≥300MB/hour
- RTX 5070 (12GB): ≥300MB/hour
- Strix Halo (64GB UMA): ≥200MB/hour
- **Fix**:
1. Log VRAM snapshot with process list (nvidia-smi/rocm-smi + ps aux)
@@ -69,6 +90,9 @@ depends_on:
### Rule 4: Benchmark Regression (>20% drop)
- **Detect**: gen_tok_per_sec drops >20% below baseline over 3+ benchmarks
- RTX 3090 baseline: 74.8 tok/s → alert at <59.8 tok/s
- RTX 5070 baseline: 165.2 tok/s → alert at <132.2 tok/s
- Strix Halo baseline: 70.5 tok/s → alert at <56.4 tok/s
- **Fix**:
1. Check GPU utilization — if >90%, other process is competing
2. Check power limit — if throttled, restore to max
@@ -78,32 +102,31 @@ depends_on:
### Rule 5: Circuit Breaker Stuck Open
- **Detect**: Circuit breaker open >10 minutes with GPU reporting healthy
- **Note**: Router (port 9000) is deprecated. If circuit breakers are reported by gpu-monitor, they come from LiteLLM's internal tracking, not the old router.
- **Fix**:
1. Verify GPU /health returns 200
2. If GPU healthy, send 1 test inference
3. If test succeeds → reset circuit breaker via router API
4. 60s cooldown — if CB re-opens immediately, it was legitimate, do NOT re-reset
5. Max 1 auto-reset per GPU per hour
- **Verify**: CB closes, inference succeeds, CB stays closed for 60s+
- **Escalate after**: CB won't close after reset → router issue
1. Verify GPU /health returns 200 on direct port (:8080)
2. If GPU healthy, alert but do NOT reset via router API (deprecated)
3. Check LiteLLM health directly: http://192.168.68.116/litellm/health/liveliness
4. Restart LiteLLM container on CT 116 if circuit breakers are stuck
- **Verify**: LiteLLM returns healthy, circuit breaker clears within 60s
- **Escalate after**: LiteLLM restart doesn't clear → human investigation
### Rule 6: Strix Halo Unreachable
- **Detect**: Strix not responding — probe .15:8080 directly (firewall opened .24→.15)
- **Fix**:
1. SSH to .15 → check llama-server process
2. Restart llama-server if not running
3. Verify through both direct probe AND router
- **Verify**: Direct health probe returns 200, router reports Strix healthy
3. Verify through both direct probe AND LiteLLM health
- **Verify**: Direct health probe returns 200, LiteLLM reports model healthy
- **Escalate**: If host .15 itself is unreachable → infrastructure alert
### Rule 7: Prometheus Exporter Down
- **Detect**: Any GPU :9400/metrics unreachable for >2 polls
### Rule 7: GPU Data Source Unreachable (replaces old Prometheus rule)
- **Detect**: gpu-monitor endpoint (localhost:9100/gpu-data) or sidecar port (:8080) on any GPU unreachable for >2 polls
- **Fix**:
1. SSH to GPU host → check prometheus-exporter process
2. Restart exporter if dead
3. While exporter is down, fall back to nvidia-smi/rocm-smi direct probes
4. If exporter is running but unreachable → check firewall/host networking
- **Verify**: :9400/metrics returns 200
1. If gpu-monitor is down: restart systemd service `gpu-monitor.service` on this host
2. If sidecar is down: SSH to GPU host → check llama-server process → restart systemd service
3. Fall back to direct nvidia-smi/rocm-smi probe via SSH if all API paths fail
- **Verify**: gpu-monitor returns healthy + all sidecars reachable
- **Escalate after**: 3 failed restarts → networking issue
### Rule 8: Predictive Thermal Warning (two-tier)
@@ -117,29 +140,31 @@ depends_on:
- **Escalate**: If Tier 2 triggers and temp still rising after 5 min → possible hardware failure
### Rule 9: Context Window Optimization
- **Detect**: Benchmark tok/s vs baseline for each GPU at current context
- RTX 3090 (256K ctx, qwen3.6-27B-code): target 75+ tok/s — currently at baseline
- RTX 5070 (131K ctx, gemma-4-12b): target 76+ tok/s — optimal for vision/web role
- Strix Halo (256K ctx, ornith-1.0-35b): target 70+ tok/s — currently above baseline
- **Detect**: Benchmark tok/s vs baseline for each GPU at current context (all 128K)
- RTX 3090 (128K ctx, ThinkingCap): baseline 74.8 tok/s — currently at 74.9 (100%)
- RTX 5070 (128K ctx, HauhauCS QAT): baseline 165.2 tok/s — currently at 169.6 (103%)
- Strix Halo (128K ctx, Genesis Hermes V3): baseline 70.5 tok/s — currently at 62.9 (89%)
- **Fix**:
- If tok/s > baseline → context has headroom, consider increasing
- If tok/s < 90% baseline → reduce context by 25% and retest
- If tok/s within 10% of baseline → optimal, no change
- Strix Halo at 89% of baseline → MONITOR but do not reduce yet (recent model swap may still be settling)
- **Verify**: Re-benchmark after context change, confirm within 10% of target
- **Escalate**: If context can't be adjusted without significant perf loss
### Rule 10: Workload Distribution Optimization
### Rule 10: Workload Distribution Optimization (updated 2026-07-18)
- **Detect**: GPU roles misaligned with hardware capabilities
- **Target distribution**:
- RTX 3090 (24GB, 256K, 75 tok/s) → Heavy reasoning, code gen, long conversations
- RTX 5070 (12GB, 131K, 76 tok/s) → Vision/image, web search, quick lightweight tasks
- Strix Halo (64GB, 256K, 72 tok/s) → Context compression, summarization, long docs
- RTX 3090 (gpu-dense, 24GB, 74.9 tok/s) → Heavy reasoning, code gen, long conversations (slowest per-token but largest context capacity). Weight: 0.55 (LiteLLM).
- RTX 5070 (gpu-light, 12GB, 169.6 tok/s) → Vision/image, web search, lightweight tasks (2.3x faster than 3090 per token). Weight: 0.15 (LiteLLM).
- Strix Halo (strix-moe, 64GB, 62.9 tok/s) → Context compression, summarization, long docs (MoE model). Weight: 0.30 (LiteLLM).
- **Note**: RTX 5070 is the fastest endpoint per token. Route high-volume, low-complexity work there first.
- **Fix**:
- Alert if any GPU is handling workload outside its designated role
- Recommend Hermes agent profile updates to match workload to GPU
- Recommend agent alias updates to match workload to GPU role (use stable aliases: gpu-dense, gpu-light, strix-moe)
- Track per-GPU request distribution via LiteLLM spend logs
- **Verify**: Each GPU's request pattern matches its designated role within 24h
- **Escalate**: If role mismatch persists >48h → agent profile audit needed
- **Escalate**: If role mismatch persists >48h → agent alias audit needed
---
@@ -148,7 +173,7 @@ depends_on:
```prose
-- Phase 1: Fetch live GPU data
let fleet = call gpu-monitor
endpoint: "http://192.168.68.24:9100/gpu-data"
endpoint: "http://localhost:9100/gpu-data"
-- Phase 2: Evaluate each GPU against remediation rules
let actions = []
@@ -164,27 +189,25 @@ for gpu in fleet.gpus:
-- Rule 4: Benchmark regression
let bench = fleet.benchmarks[gpu.hostname]
if bench.current_tok_sec < bench.baseline_tok_sec * 0.8:
if bench.current_tok_s < bench.baseline_tok_s * 0.8:
push actions apply-benchmark-fix(gpu, bench)
-- Rule 3: Model stuck
for model in fleet.router.available_models:
for model in fleet.summary.available_models:
if model.consecutive_timeouts >= 3:
push actions apply-model-restart(model)
-- Rule 5: Circuit breaker
for cb in fleet.router.circuit_breaker:
if cb.open and cb.open_duration > 600 and gpu_is_healthy(cb.gpu):
push actions apply-cb-reset(cb)
-- Rule 5: Circuit breaker check via LiteLLM (router deprecated)
if fleet.summary.circuit_breakers_open > 0:
push actions check-litellm-circuit-breakers()
-- Rule 6: Strix Halo
if not fleet.strix.running and pingable("192.168.68.15"):
push actions apply-strix-restart()
-- Rule 7: Prometheus exporters
for gpu in fleet.gpus:
if not prometheus_reachable(gpu.hostname, 9400):
push actions apply-exporter-restart(gpu)
-- Rule 7: GPU data source
if not fleet.gpus or len(fleet.gpus) < 2:
push actions check-gpu-monitor-service()
-- Rule 8: Predictive thermal
for gpu in fleet.gpus:
@@ -212,12 +235,12 @@ call update-gpu-health
```json
{
"run_id": "gpu-self-heal-20260712-001",
"timestamp": "2026-07-12T16:00:00Z",
"run_id": "gpu-self-heal-20260718-001",
"timestamp": "2026-07-18T08:00:00Z",
"gpu": "ct8-rtx3090",
"issue": "thermal-critical",
"detected": { "temp_c": 87, "duration_s": 180 },
"action": "set-fan-100pct",
"action": "load-shedding",
"result": "resolved",
"verification": { "temp_c": 76, "after_s": 300 },
"escalated": false
@@ -236,52 +259,53 @@ Every action logged as `[GPU-SELF-HEAL] <run_id>` node with full audit trail.
- `issues_escalated > 0` → "⚠ GPU Self-Heal — <gpu> needs attention"
- Every 100th clean cycle → "✅ GPU Fleet: All Clear"
### 3. Prometheus/Grafana Integration
- GPU self-heal actions exposed as Prometheus counter metrics
- Dashboard panel: "GPU Interventions (24h)" showing count/type/result
### 4. Weekly Benchmark Report
### 3. Weekly Benchmark Report
- Per-GPU tok/s trend over 7 days
- Regression alerts if any GPU degrades >10% week-over-week
---
## Design Decisions (Grilled & Confirmed 2026-07-12)
## Design Decisions (Verified 2026-07-12, Reaffirmed 2026-07-18)
1. **Fan control**: ❌ NO auto fan control. Load-side cooling only (reduce concurrency, redirect).
2. **Model restart**: ✅ Only if >50% failure rate over 60s + 30s grace period. Not on single stuck request.
3. **Strix direct access**: ✅ Open firewall .15:8080 → .24 for direct health probe + restart.
4. **VRAM thresholds**: Tiered — 100MB/h (RTX 3090), 50MB/h (RTX 5070), 200MB/h (Strix).
5. **CB auto-reset**: ✅ With rate limit — 1 test inference + 60s cooldown + max 1/hour per GPU.
6. **Benchmark baseline**: Rolling 30-day average, recalculated weekly. Original baseline kept in Grafana.
4. **VRAM thresholds**: Tiered — **300MB/h** (RTX 3090), **300MB/h** (RTX 5070), 200MB/h (Strix). Previous values (100/50) were too sensitive; raised 2026-07-18 based on operational data.
5. **CB auto-reset**: ✅ Router deprecated — circuit breakers go through LiteLLM health check + container restart if needed. No per-GPU auto-reset.
6. **Benchmark baseline**: Rolling 30-day average, recalculated weekly. Current baselines live in gpu-monitor.
7. **Predictive alerts**: Two-tier — warn at >70°C+rising (>2°C/min), critical at >80°C+rising.
8. **Prometheus**: Primary source. Fall back to nvidia-smi/rocm-smi direct probes if exporter down.
8. **Prometheus**: ❌ Not deployed. Use direct sidecar probes (:8080/health) and gpu-monitor API. Prometheus integration deferred until exporters are running on GPU hosts.
## Lessons Learned (2026-07-12)
## Lessons Learned (2026-07-12, Updated 2026-07-18)
### L1: API Key Standardization Is Critical
- All GPU llama-servers MUST use the same api-key as the LiteLLM config.
- RTX 5070 had `--api-key sk-loc...5678` while LiteLLM sent `not-needed`.
This caused cascading 401 → fallback → timeout → 401 loops, burning all retries.
- **Rule**: Any new GPU or model restart MUST verify api-key matches LiteLLM config.
This caused cascading 401 → fallback → timeout → 401 loops.
- **Rule**: Any new GPU or model restart MUST verify api-key matches LiteLLM config (`not-needed` for direct routing).
### L2: Fallback Chain Cascading Failures
- When one model returns 401 (auth) and another is slow (timeout), the fallback
chain creates an infinite loop: gemma 401 → qwen timeout → gemma 401 → ...
chain creates an infinite loop.
- **Rule**: If a model returns 401 (auth error), do NOT fall back to it again.
Mark it as permanently failed for this request.
### L3: Verify Running State, Not Docs
- RTX 3090 was documented at 128K context. Actually running at 256K.
- Parallel count wrong (docs said 2, actual is 1 on RTX 3090).
- RTX 3090 was documented at 128K context. Running at 128K (verified 2026-07-18).
- Parallel count: 1 on both RTX 3090 and RTX 5070 (matches docs for current models).
- **Rule**: Before making decisions, check `/proc/PID/cmdline` on GPU hosts.
### L4: Infisical Is Not Always Available
- Tanko's Infisical service token was 404 — gateway ran without API key for hours.
- **Rule**: Always keep a local `.env` fallback for `LITELLM_API_KEY`.
- Contract hermes-config-template Rule 3 updated.
- Keep a local `.env` fallback for `LITELLM_API_KEY`.
- **Rule**: Always verify credential source is reachable before relying on it.
### L5: Zulip Event Queue Can Silently Die
- Mumuni's queue accumulated 41 errors/reconnects then stopped polling.
Gateway was running but ignoring all messages.
- **Rule**: litellm-health-check now monitors gateway responsiveness via Zulip API.
### L5: GPU Monitor Response Size Can Cause Self-Heal Crash
- gpu-self-heal crashed with KeyboardInterrupt during json.loads() of 20MB response.
- Root cause: router poll returns accumulated data → cache balloons.
- **Rule**: Self-heal must enforce a read timeout AND max response size on every poll.
If monitor response > 1MB, log a warning and skip the cycle rather than crashing.
### L6: Stable Aliases Replace Model Names
- gpu-fleet introduced stable aliases (strix-moe, gpu-dense, gpu-light) on 2026-07-15.
- Self-heal must use aliases for reporting and alerting, not model-specific names.
- **Rule**: All alert messages and KG nodes use the stable alias as the GPU identifier.
+8 -8
View File
@@ -5,7 +5,7 @@ version: 1.0.0
description: >
Canonical known-good baseline for all Syslog Hermes agents. Captures the exact
configuration state, keys, workarounds, and audit procedure. When an agent's
configuration goes sideways, restore from this baseline. Last verified 2026-07-08. GPU context reduced to 128K on .8/.110, parallel 2 fleet-wide.
configuration goes sideways, restore from this baseline. Last verified 2026-07-16. All GPUs 256K context (RTX 3090 .8, RTX 5070 .110, Strix Halo .15). Parallel 1 fleet-wide (Strix Halo handles compression solo).
author: Abiba (pi agent)
---
@@ -26,11 +26,11 @@ done
|-------|-----|------|-----|---------------|------------|----------|
| Tanko | 112 | amdpve | .122 | `tanko` | Infisical vault | Hermes |
| Mumuni | 114 | minipve | .123 | `mumuni` | Infisical vault | Hermes |
| Koby | 111 | amdpve | srv1079750 | `koby` | Infisical vault | **Hermes** |
| Koonimo | 113 | amdpve | ? | `koonimo` | Infisical vault | Hermes |
| Shumba | — | 192.168.68.119 | N/A | N/A (DeepSeek) | Hermes |
| Koby | 129 | amdpve | srv1079750 | `koby` | Infisical vault | **Hermes** |
| Koonimo | 114 | amdpve | ? | `koonimo` | Infisical vault | Hermes |
| Shumba | — | 192.168.68.119 | N/A | N/A (DeepSeek) | Hermes (RETIRED — CT119 now Infisical vault) |
> **Note**: CT hostnames (tdunna→CT111, baggy→CT113) differ from agent identities (koby, koonimo).
> **Note**: CT hostnames (tdunna→CT129, baggy→CT114) differ from agent identities (koby, koonimo).
Access: `pct-run <CT_ID> <command>` — no IPs needed. GPU hosts (.8, .110, .15) use SSH.
Keys are stored in Infisical vault (project=agents, env=production) and injected at
@@ -169,9 +169,9 @@ pct-run <CT> grep -A8 "vision:" /root/.hermes/config.yaml | grep api_key
# Must show both api_key: sk-... and api_key_env: LITELLM_API_KEY
```
### For Koby (CT 111 / tdunna)
### For Koby (CT 129 / tdunna)
Koby runs Hermes on CT 111 (tdunna). Config files at `/root/.hermes/config.yaml`.
Koby runs Hermes on CT 129 (tdunna). Config files at `/root/.hermes/config.yaml`.
Same Hermes pattern as Tanko/Mumuni/Koonimo — see config sections above.
**LiteLLM key**: alias `koby` in LiteLLM DB, injected via `infisical run --` wrapper.
@@ -192,7 +192,7 @@ Key is injected via `infisical run --` wrapper at PM2 startup:
"apiKey": "${LITELLM_API_KEY}",
"models": [
{ "id": "syslog-auto" },
{ "id": "ornith-1.0-35b" },
{ "id": "strix-moe" },
{ "id": "qwen3.6-27B-code" },
{ "id": "gemma-4-12b" }
]
+119 -45
View File
@@ -5,10 +5,14 @@ description: >
Standard Hermes configuration template for Syslog Solution LLC agents.
Enforces shared infrastructure setup (Firecrawl, SearXNG, local models,
RA-H OS MCP) while keeping agent-specific API keys and model choices.
UPDATED 2026-07-12: GPU workload redistributed. Compression → Strix Halo (ornith-1.0-35b).
RTX 3090 context verified at 256K (was incorrectly documented as 128K).
RTX 5070 stays at 131K for vision/web. Infisical .env fallback required (Rule 3).
Parallel counts corrected (RTX 3090=1, RTX 5070=2, Strix=2).
UPDATED 2026-07-18: Compression model switched to `syslog-auto` (was `strix-moe`)
to relieve Strix Halo pressure. syslog-auto distributes compression across the
weighted pool (55% RTX 3090, 30% Strix Halo, 15% RTX 5070).
UPDATED 2026-07-16: Compression model was the stable alias `strix-moe` (NOT `ornith-1.0-35b`,
which LiteLLM does not serve). All 3 GPUs verified at 128K (reduced from 256K 2026-07-17 for stability).
Added Rule 12 (Context-Issue Diagnostic) + Rule 13 (.env fallback enforcement) from the
2026-07-16 Mumuni root-cause investigation (WAL #1300).
UPDATED 2026-07-12: GPU workload redistributed. Compression → Strix Halo (later switched to syslog-auto 2026-07-18). RTX 3090 context verified at 128K. Infisical .env fallback required (Rule 3/13).
---
## Maintains
@@ -31,10 +35,10 @@ Sub-agent profiles inherit auth from the main config — no separate keys needed
| Agent | Key Alias | Host | SSH | Sub-Agents |
|-------|-----------|------|-----|-----------|
| Tanko | `tanko-*` | 192.168.68.122 | jerome@.122 | — |
| Mumuni | `mumuni-jul2026` | 192.168.68.123 | root@.123 | 6 profiles ✱ |
| Mumuni | `mumuni` | 192.168.68.123 | root@.123 | 6 profiles ✱ |
| Abiba | `abiba-pi` | 192.168.68.24 | local | — |
| Koby | `koby` | CT 111 (tdunna) | Zulip | — |
| Koonimo | `koonimo` | CT 113 (baggy) | Zulip | — |
| Koonimo | `koonimo` | CT 114 (baggy) | SSH root | — |
| Kagenz0 | `kagenz0-*` | ? | Zulip | — |
> CT hostnames (tdunna, baggy) differ from agent identities (koby, koonimo).
@@ -94,13 +98,13 @@ work immediately after restart.
```yaml
# ─── Model Selection ───
model:
default: <agent_model> # e.g., ornith-1.0-35b, qwen3.6-27B-code
default: <agent_model> # e.g., strix-moe, qwen3.6-27B-code, syslog-auto
provider: harness
base_url: http://192.168.68.116/v1
api_key_env: LITELLM_API_KEY # Injected via infisical run -- wrapper
max_tokens: 4096 # ⚠️ CRITICAL: Prevents unbounded generation
context_length: 262144 # For syslog-auto (all GPUs support 256K).
# Set 131072 if using gemma-4-12b directly (12GB VRAM constraint).
context_length: 131072 # For syslog-auto (all GPUs at 128K for stability).
# Set 65536 if using gemma-4-12b directly (tight VRAM).
fallback_providers:
provider: deepseek
@@ -129,10 +133,11 @@ mcp_servers:
# ─── Compression ───
compression:
enabled: true
model: ornith-1.0-35b # ⚠️ Must match auxiliary.compression.model
model: syslog-auto # ⚠️ Switched from strix-moe 2026-07-18 to relieve Strix Halo.
# syslog-auto distributes across weighted pool (55% RTX 3090,
# 30% Strix Halo, 15% RTX 5070). All GPUs at 128K.
provider: harness
max_context_window: 262144 # For Strix Halo compression (256K ctx).
# Set 131072 if using gemma directly.
max_context_window: 131072 # MUST match actual GPU capacity. All 3 GPUs are 128K (Jul 17).
threshold: 0.65 # Fires at ~170K for 262K window, ~85K for 128K
target_ratio: 0.30
protect_last_n: 40
@@ -142,37 +147,49 @@ compression:
# ─── Auxiliary Tasks (CONSISTENCY RULE) ───
# All auxiliary services MUST use identical model, base_url, and api_key_env:
# model: gemma-4-12b
# model: gpu-light # stable alias (NOT raw "gemma-4-12b")
# base_url: http://192.168.68.116/v1
# api_key_env: LITELLM_API_KEY
# Do NOT use syslog-auto for auxiliary tasks — it routes to the primary GPU.
# gemma-4-12b is a lightweight 12B model on the RTX 5070, freeing the Strix Halo
# for agent reasoning.
# Compression uses syslog-auto (switched from strix-moe 2026-07-18) to distribute
# load across the weighted pool and relieve Strix Halo pressure.
# Vision and web_extract use gpu-light = RTX 5070 (12B).
# Heavy aux (delegation, x_search) use gpu-dense (RTX 3090) instead.
# NEVER use raw model names (gemma-4-12b, qwen3.6-27B-code, qwen3.6-35B-udq4)
# in agent configs — use the stable aliases so model swaps don't break agents.
auxiliary:
vision:
provider: harness
model: gemma-4-12b
model: gpu-light # stable alias for RTX 5070 (was raw gemma-4-12b)
base_url: http://192.168.68.116/v1
api_key_env: LITELLM_API_KEY
timeout: 60
download_timeout: 30
web_extract:
provider: harness
model: gemma-4-12b
model: gpu-light # stable alias for RTX 5070
base_url: http://192.168.68.116/v1
api_key_env: LITELLM_API_KEY
timeout: 30
compression:
provider: harness
model: ornith-1.0-35b
model: syslog-auto # Switched from strix-moe 2026-07-18. Relieves Strix Halo pressure.
base_url: http://192.168.68.116/v1 # Rule 5: /v1 NOT /litellm/v1
api_key_env: LITELLM_API_KEY
timeout: 300 # gpu-fleet: 300s for large-history summarization (was 60)
# ─── Delegation / Heavy Aux (use gpu-dense = RTX 3090) ───
# delegation.model and x_search.model use gpu-dense (NOT raw qwen3.6-27B-code).
delegation:
model: gpu-dense # stable alias for RTX 3090 (was raw qwen3.6-27B-code)
provider: harness
base_url: http://192.168.68.116/v1
api_key_env: LITELLM_API_KEY
timeout: 60
# ─── Custom Provider ───
custom_providers:
- name: harness
model: <agent_model>
model: syslog-auto # weighted pool (default)
base_url: http://192.168.68.116/v1
api_key_env: LITELLM_API_KEY
api_mode: chat_completions
@@ -236,45 +253,48 @@ The following MUST be identical across ALL profiles:
- Apply to BOTH main config AND all sub-agent profiles
- For agents needing longer outputs: raise to 8192, but never omit
### Rule 7: Auxiliary Model Consistency (UPDATED July 2026)
- Vision and web_extract use `gemma-4-12b` (RTX 5070 — 12GB, vision-optimized)
- Compression uses `ornith-1.0-35b` (Strix Halo — 64GB, 256K ctx, compression-optimized)
### Rule 7: Auxiliary Model Consistency (UPDATED 2026-07-18)
- Vision and web_extract use `gpu-light` (stable alias, RTX 5070 — 12GB, vision-optimized)
- Compression now uses `syslog-auto` (switched from `strix-moe` 2026-07-18) to distribute
compression load across the weighted pool (55% RTX 3090, 30% Strix Halo, 15% RTX 5070).
This relieves Strix Halo pressure while keeping compression functional on all GPUs.
- **`syslog-auto` is the valid compression model** — LiteLLM serves it as the weighted pool.
Old configs with `strix-moe` for compression should be updated to `syslog-auto`.
- All auxiliary services MUST use identical routing:
- `base_url: http://192.168.68.116/v1`
- `base_url: http://192.168.68.116/v1` (Rule 5: `/v1`, NOT `/litellm/v1`)
- `api_key_env: LITELLM_API_KEY`
- **Do NOT use `syslog-auto`** for auxiliary tasks — it routes unpredictably
- **Compression moved to Strix Halo (July 2026)**: The ornith-1.0-35b model on Strix Halo
(64GB UMA, 256K context, 72.4 tok/s) is the designated compression GPU. This frees the
RTX 5070 for vision and web search, and the RTX 3090 for heavy reasoning.
- **Compression via syslog-auto**: Routes through the weighted pool. Strix Halo still handles
~30% of compression calls (at 60 RPM via pool vs 40 RPM direct), but the bulk (55%)
goes to RTX 3090 which has ample spare capacity.
- The `compression:` block's `model` MUST match `auxiliary: compression: model`
- The `compression: max_context_window: 262144` MUST match Strix Halo's actual capacity
- The `compression: max_context_window: 131072` MUST match actual GPU capacity (128K)
### Rule 8: GPU Workload Distribution (July 2026)
- **RTX 3090 (24GB, 256K ctx, qwen3.6-27B-code)**: Heavy reasoning, code gen, long conversations
- **RTX 5070 (12GB, 131K ctx, gemma-4-12b)**: Vision, web search, quick tasks, web_extract
- **Strix Halo (64GB, 256K ctx, ornith-1.0-35b)**: Context compression, summarization, long docs
### Rule 8: GPU Workload Distribution (UPDATED 2026-07-18)
- **RTX 3090 (24GB, 128K ctx, qwen3.6-27B-code)**: Heavy reasoning, code gen, long conversations — also handles ~55% of compression via syslog-auto pool
- **RTX 5070 (12GB, 128K ctx, gemma-4-12b)**: Vision, web search, quick tasks, web_extract — handles ~15% of compression via syslog-auto pool
- **Strix Halo (64GB, 128K ctx, Geneis Hermes V3 APEX)**: Agent reasoning, compression (~30% via syslog-auto pool), fallback for other GPUs
- Agent profiles MUST route auxiliary tasks to the correct GPU:
- `auxiliary.vision.model: gemma-4-12b` (RTX 5070)
- `auxiliary.web_extract.model: gemma-4-12b` (RTX 5070)
- `auxiliary.compression.model: ornith-1.0-35b` (Strix Halo)
- `auxiliary.vision.model: gpu-light` (RTX 5070)
- `auxiliary.web_extract.model: gpu-light` (RTX 5070)
- `auxiliary.compression.model: syslog-auto` (distributed pool, switched from strix-moe 2026-07-18)
- Default model (`model.default`) and custom_provider remain `syslog-auto` for auto-routing
- For 262K context window: `threshold: 0.65` (fires at ~170K tokens)
- For 128K context window: `threshold: 0.65` (fires at ~85K tokens)
- Do NOT use `threshold: 0.25` — this fires at 65K, causing premature context loss
- Do NOT use `threshold: 0.80` — this delays until 209K, risking the gateway hygiene layer
- `max_context_window: 262144` MUST match the model's actual capacity
- Do NOT use `threshold: 0.80` — this delays until ~105K, leaving only 23K margin
- `max_context_window: 131072` MUST match the model's actual capacity (128K)
- See `devops-hermes-compression` skill for full reference
### Rule 9: Compression Threshold for 256K Models
- For 262K context window: `threshold: 0.65` (fires at ~170K tokens)
### Rule 9: Compression Threshold for 128K Models
- For 128K context window: `threshold: 0.65` (fires at ~85K tokens)
- Do NOT use `threshold: 0.25` — this fires at 65K, causing premature context loss
- Do NOT use `threshold: 0.80` — this delays until 209K, risking the gateway hygiene layer
- `max_context_window: 262144` MUST match the model's actual capacity (Strix Halo = 256K)
- Do NOT use `threshold: 0.80` — this delays until ~105K, leaving only 23K margin
- `max_context_window: 131072` MUST match the model's actual capacity (all GPUs = 128K)
- See `devops-hermes-compression` skill for full reference
### Rule 10: Default Model Must Be `syslog-auto` (All Agents)
- **Hermes agents**: `model.default: syslog-auto`, `custom_providers[0].model: syslog-auto`
- **pi agents**: `defaultModel: syslog-auto` in `settings.json`, first model in `models.json`
- `syslog-auto` is the LiteLLM routing model — it load-balances between ornith-1.0-35b
- `syslog-auto` is the LiteLLM routing model — it load-balances between strix-moe
and qwen3.6-27B-code, with gemma-4-12b as fallback. Using it protects against:
- Model name typos that cause 403 errors and silent worker failures
- Single GPU downtime (routing falls back automatically)
@@ -293,6 +313,60 @@ The following MUST be identical across ALL profiles:
- A non-existent model ID causes 403 errors that silently break the pi RPC worker
(no `agent_end` emitted, worker stays "busy", Zulip messages pile up unprocessed)
### Rule 12: Context-Issue Diagnostic Checklist (ADDED 2026-07-16, WAL #1300)
When an agent shows "context issues" (premature compression, 401s, 504s, DeepSeek fallback),
verify ALL FOUR of these against the live config. They are the only root causes found in production:
1. **max_context_window correct?** — BOTH `compression.max_context_window` AND `context.max_context_window`
MUST be `131072` (all GPUs are 128K). A value of `262144` causes instability near 100K and must NOT be used.
~83K instead of ~170K. Check: `grep -n max_context_window ~/.hermes/config.yaml`
2. **base_url uses /v1 NOT /litellm/v1?**`custom_providers[0].base_url`, `delegation.base_url`,
and ALL `auxiliary.*.base_url` MUST be `http://192.168.68.116/v1` (Rule 5). nginx `/litellm/`
has a 60s default timeout → 504 on any inference >60s; `/v1/` has 600s.
Check: `grep -n 'litellm/v1' ~/.hermes/config.yaml` (must return NOTHING)
3. **LITELLM_API_KEY valid?** — The key must be a real LiteLLM key (`sk-` + 64 hex, 67 chars).
Malformed values (e.g. `sk-_SWAl_Vu_…`, 47 chars) return 401 → DeepSeek fallback.
Verify: `curl -s -o /dev/null -w '%{http_code}' -H "Authorization: Bearer $LITELLM_API_KEY" http://192.168.68.116/v1/models` (must be 200)
4. **custom_providers aligned?**`model: syslog-auto` (Rule 10), `api_mode: chat_completions`
(NOT `responses`). A wrong api_mode causes silent request failures.
One-line agent health check (run on the agent host):
```bash
PID=$(pgrep -f "python -m hermes_cli.main gateway run" | head -1)
cat /proc/$PID/environ | tr '\0' '\n' | grep ^LITELLM_API_KEY= | sed 's/=.*/<set>/'
curl -s -o /dev/null -w 'key_health: %{http_code}\n' -H "Authorization: Bearer $(cat /proc/$PID/environ | tr '\0' '\n' | grep ^LITELLM_API_KEY= | cut -d= -f2)" http://192.168.68.116/v1/models
```
### Rule 13: API Key Injection — Two Patterns (UPDATED 2026-07-16, WAL #1300)
Agents inject `LITELLM_API_KEY` via ONE of two mechanisms. Both are valid; the contract
requirement is that the key is a **valid LiteLLM virtual key** (HTTP 200 on /v1/models).
**Pattern A — systemd drop-in (Koby, Koonimo, and any agent without infisical wrapper):**
A systemd drop-in `/etc/systemd/system/hermes-gateway.service.d/litellm-key.conf` sets the key:
```ini
[Service]
Environment="LITELLM_API_KEY=sk-<VALID_KEY>"
```
The service unit `hermes-gateway.service` runs `python -m hermes_cli.main gateway run --replace`
directly (no infisical). Apply with `systemctl daemon-reload && systemctl restart hermes-gateway`.
- Koonimo (CT113/.114): service = `hermes-gateway.service`, drop-in has the key.
- Koby (CT111/.129): service = `hermes-gateway.service` (created 2026-07-16), ExecStart uses `--replace`
to win the lock against stray `hermes gateway restart` invocations. Key also in `/etc/environment`.
**Pattern B — infisical-gateway.sh wrapper (Mumuni):**
The wrapper sources `~/.hermes/.env` then exports `LITELLM_API_KEY="$<AGENT>_LITELLM_API_KEY"`.
See litellm-api-keys.prose.md § Machine Identity for Vault Writes for vault sync.
**Verification (all agents):**
```bash
GP=$(pgrep -f "python -m hermes_cli.main gateway run" | head -1)
K=$(cat /proc/$GP/environ | tr '\0' '\n' | grep '^LITELLM_API_KEY=' | cut -d= -f2)
curl -s -o /dev/null -w '%{http_code}' -H "Authorization: Bearer $K" http://192.168.68.116/v1/models # must be 200
```
- `/etc/environment` is NO LONGER the canonical key source (stale values there caused 401s).
- Do NOT leave a hardcoded stale key in `/etc/environment` — it shadows the drop-in/wrapper.
## Execution
1. **Check current config** — Read the target agent's config.yaml
+5
View File
@@ -72,6 +72,11 @@ External providers are **explicitly exempt** and may use hardcoded keys:
## Standard Pattern
> **Canonical vault process (2026-07-16):** see `litellm-api-keys` § Production Vault Access Process.
> All agents MUST use the `infisical-gateway.sh` wrapper (live vault injection). Hardcoded systemd
> drop-ins / config.yaml keys are DEPRECATED — they rot on rotation (root cause of the 2026-07-16 401 storm).
> 4/5 agents migrated; tanko (user jerome) pending.
```yaml
# ✅ CORRECT — all harness/litellm providers (authenticated path, NO /responses suffix)
model:
+104
View File
@@ -0,0 +1,104 @@
---
name: inference-optimization
kind: responsibility
description: >
Optimizes the full Syslog inference stack — LiteLLM routing weights, GPU model
assignments, agent context management, and prompt caching — to reduce response
times to sub-15s average. All GPUs now at 128K context (stable ceiling).
id: 067NC6KP02RG60S50M40E30928
---
### Goal
Syslog inference response times reduced to sub-15s average by optimizing the full
stack: LiteLLM routing weights, GPU model assignments, Hermes agent context
management, and prompt caching — without sacrificing agent capability.
### Requires
- `inference-metrics`: current SpendLogs from CT116 LiteLLM Postgres — avg
request_duration_ms, prompt_tokens, completion_tokens, model_group breakdown,
cache_hit rate over the last 3 hours
- `agent-configs`: current config.yaml from each active Hermes agent (Mumuni
.123, any others on .129/.122) including compression, model, context_window,
prompt_caching, memory settings
- `gpu-health`: health check response from all 3 GPU backends (ornith .15:8080,
qwen .8:8080, gemma .110:8080)
### Maintains
The optimized inference stack configuration — every change is applied and
verified end-to-end. Postcondition: avg request_duration_ms ≤ 15000 for 90% of
non-ornith traffic; ≤ 30000 for ornith-bound agentic calls.
#### liteLLM-routing
The syslog-auto routing weights, model-specific timeouts, RPM limits, and
model_list entries on CT116 `/opt/inference-harness/litellm_config.yaml`.
#### agent-compression
Each Hermes agent's `~/.hermes/config.yaml` compression, context_window,
prompt_caching, and model sections.
#### prompt-caching
LiteLLM cache configuration and llama.cpp `--cache-prompt` flag on GPU hosts.
#### verification
End-to-end latency measurements after changes applied — at least 3 test
inference calls per model path measuring ttft (time-to-first-token) and total
duration.
### Continuity
- input-driven
### Strategies
**Context is the root cause.** Every ~46K prompt token costs ~87s of ornith
prefill time at 532 tok/s. Fix context first, routing second.
- **Route by task**: ornith for multi-step reasoning only; qwen for code/standard
queries; gemma for compression/auxiliary. Never send simple completion to a
35B MoE.
- **Compress aggressively**: threshold at 40% (not 65%) — a 256K window should
compact at 102K, not 166K. Target 15% tail (not 30%).
- **Cache everything repeated**: system prompts, skill docs, AGENTS.md — these
never change between turns. Single-digit cache hit rate is unacceptable.
- **Lower context ceiling**: 128K window is the stable ceiling for agent conversations.
GPUs reduced from 256K to 128K (2026-07-17). For larger contexts, route to external providers.
### Shape
- `self`: analyze metrics, compute optimal configs, apply changes, verify
- `delegates`:
- `apply-liteLLM`: update litellm_config.yaml and reload
- `apply-agent-config`: update hermes config.yaml per agent
- `verify-latency`: run test inference calls and measure response
### Execution
```prose
-- Phase 1: Analyze current state (already complete)
-- Phase 2: Apply LiteLLM routing optimization
call apply-liteLLM-routing
config_path: /opt/inference-harness/litellm_config.yaml
host: 192.168.68.116
-- Phase 3: Apply agent context compression optimization
call apply-agent-compression
agent: mumuni
host: 192.168.68.123
config_path: /root/.hermes/config.yaml
-- Phase 4: Enable llama.cpp prompt caching on GPU hosts
call enable-prompt-caching
hosts: [192.168.68.15, 192.168.68.8, 192.168.68.110]
-- Phase 5: Verify end-to-end latency
call verify-latency
host: 192.168.68.116
models: [syslog-auto, qwen3.6-27B-code, gemma-4-12b, ornith-1.0-35b]
```
+219 -3
View File
@@ -14,9 +14,26 @@ description: >
expire/404. The .env fallback prevents agents from running without keys.
Tanko incident: token 404 → gateway had no LITELLM_API_KEY for hours.
UPDATED 2026-07-16: Vault is SYNCED (session-13 keys written to vault via abiba service
token, all validate 200). Koby/Koonimo migrated from hardcoded drop-ins to the
infisical-gateway.sh wrapper (live vault injection). 4/5 agents now vault-backed.
Canonical process: see § Production Vault Access Process. Tanko (user jerome) pending.
Abiba's key is now a proper agent key (NOT the master key — stale note removed).
UPDATED 2026-07-17: FLEET-WIDE STANDARDIZATION. All 4 agents (Mumuni, Tanko, Koby, Koonimo)
standardized on a single pattern: systemd drop-in (ExecStart= reset + wrapper path) →
infisical-gateway.sh while-true loop → /usr/bin/infisical run --token → bash -c key
injection → .env fallback → exec python. Systemd drop-ins are IMMUNE to hermes gateway
install which overwrites the unit file ExecStart. Infisical CLI updated to 0.43.109 on
all agents (was 0.38.0). Service token st.8e848433 shared across fleet (st.353699cd
for tanko was deleted). .env fallback on every agent protects against token loss.
Critical lessons: (1) NEVER use shell variables inside single-quoted bash -c in wrappers
— hardcode absolute paths. (2) Drop-ins override unit file ExecStart permanently.
(3) Capture /proc/<pid>/environ before gateway restarts to preserve running env set.
Current key inventory and agent list: see gpu-fleet.prose.md § Agent Keys.
Source of truth for LiteLLM config: /opt/inference-harness/litellm_config.yaml
on CT 116. Last verified: 2026-07-12.
on CT 116. Last verified: 2026-07-17.
---
## Parameters
@@ -51,8 +68,8 @@ description: >
- Generate new key with key_alias: "{agent_name}" (e.g., "tanko" — bare name, no date)
- Set metadata: { "agent": "{agent_name}", "purpose": "agent-inference" }
- Duration is null (permanent) — inherited from litellm default_key_generate_params
- Set models: ["syslog-auto", "qwen3.6-27B-code", "gemma-4-12b", "ornith-1.0-35b"]
- Note: qwen3.6-35B-A3B removed from fleet (was never deployed on any GPU)
- Set models: ["syslog-auto", "qwen3.6-27B-code", "gemma-4-12b", "strix-moe", "gpu-dense", "gpu-light", "qwen3.6-35B-udq4"]
- Note: `ornith-1.0-35b` is NOT a valid LiteLLM model name (use `strix-moe`, the stable alias). qwen3.6-35B-A3B removed from fleet (was never deployed).
- Return the new key
5. **If action == "rotate"**:
- Generate new key with same alias (LiteLLM replaces the old key)
@@ -67,3 +84,202 @@ description: >
- Test the key against LiteLLM /v1/models
- Confirm key alias matches agent_name in LiteLLM key list
- Verify agent gateway uses vault wrapper: `cat /proc/<pid>/cmdline` shows `infisical run`
## Production Vault Access Process (canonical, 2026-07-17)
The non-fail approach to agentic vault access. Deployed on all 4 Hermes agents
(Mumuni, Tanko, Koby, Koonimo) as of 2026-07-17. Abiba (pi) uses a similar pattern
through its agent wrapper.
### The canonical pattern
1. **infisical CLI** installed on the host at `/usr/bin/infisical` (v0.43.109+, from
artifacts-cli.infisical.com apt repo). Update procedure:
```bash
curl -1sLf 'https://artifacts-cli.infisical.com/setup.deb.sh' | sudo -E bash
sudo apt-get update && sudo apt-get install -y infisical
# Remove stale old binary if present
rm -f /usr/local/bin/infisical /bin/infisical
```
Wrappers use absolute path `/usr/bin/infisical run`. Never rely on PATH resolution.
2. **Service token** (Infisical Machine Identity, `st.…`) stored at `~/.infisical-token`
(`chmod 600`). Current: shared `st.8e848433…` (abiba, READ+WRITE on agents project).
Tanko's `st.353699cd…` (tanko-agent) was deleted — reverted to shared token.
Proper: one machine identity per agent (create in Infisical UI → Project Settings →
Machine Identities).
3. **`infisical-gateway.sh` wrapper** at `~/.hermes/infisical-gateway.sh` (`chmod 700`):
```bash
#!/bin/bash
export INFISICAL_API_URL="https://vault.sysloggh.net"
TOKEN=$(cat $HOME/.infisical-token)
LOG=$HOME/.hermes/logs/gateway.log; mkdir -p $HOME/.hermes/logs
while true; do
echo "[$(date -Iseconds)] Starting gateway with Infisical injection..." >> $LOG
/usr/bin/infisical run --token="$TOKEN" \
--projectId=322fceab-39da-4854-a55a-568e76c0f13f \
--env=prod --domain=https://vault.sysloggh.net -- bash -c '
. $HOME/.hermes/.env 2>/dev/null # [FALLBACK Rule 3]
export LITELLM_API_KEY="${<AGENT>_LITELLM_API_KEY}"
export ZULIP_API_KEY="${<AGENT>_ZULIP_API_KEY}"
export ZULIP_SITE="https://chat.sysloggh.net"
export ZULIP_EMAIL="<agent>-bot@chat.sysloggh.net"
export SEARXNG_URL="http://192.168.68.7:8888"
# ⚠️ HARDCODE the full venv path. NEVER use $VENV inside single quotes.
exec /root/.hermes/hermes-agent/venv/bin/python -m hermes_cli.main gateway run
' >> $LOG 2>&1
EXIT_CODE=$?
echo "[$(date -Iseconds)] Gateway exited with code $EXIT_CODE — restarting in 5s..." >> $LOG
sleep 5
done
```
**CRITICAL: VENV PATH.** The inner `bash -c '...'` uses single quotes. Shell
variables set in the outer wrapper are NOT expanded inside single quotes.
`$VENV/bin/python` resolves to `/bin/python` (file not found). Always hardcode
the absolute path to the venv python binary.
4. **Agent key in vault** as `<AGENT>_LITELLM_API_KEY` and `<AGENT>_ZULIP_API_KEY`.
Vault = source of truth for ALL platform credentials.
5. **`.env` fallback** at `~/.hermes/.env` (`chmod 600`) with agent-specific keys —
safety net for vault outage or token revocation. Must be kept in sync on rotation.
Example:
```bash
MUMUNI_LITELLM_API_KEY=sk-OzuWsoX22Hmb3Ps3JY01gw
MUMUNI_ZULIP_API_KEY=H8dY6V7aHmWNcfgNtJaDBPZ1dGWn0Ttt
```
6. **systemd drop-in** at `~/.config/systemd/user/hermes-gateway.service.d/50-vault-wrapper.conf`:
```ini
[Service]
ExecStart=
ExecStart=/root/.hermes/infisical-gateway.sh
```
The `ExecStart=` (empty reset) clears any ExecStart from the main unit file,
then the second `ExecStart=` sets the wrapper. This drop-in **survives unit file
regeneration** by `hermes gateway install` — the drop-in always wins.
**Why a drop-in instead of editing the unit file:** `hermes gateway install`
(called during Hermes updates and some self-heal operations) regenerates the
systemd unit file with `ExecStart=/path/to/python -m hermes_cli.main gateway run`.
Editing the unit file directly is futile — it will be overwritten. The drop-in
approach explicitly resets ExecStart and sets the wrapper regardless of what the
main unit file says.
7. **NEVER hardcode** API keys in systemd drop-ins, config.yaml, or /etc/environment.
The wrapper injects live from vault at every start.
### Why this is non-fail
- **No rot**: keys pulled live from vault at every gateway start. Rotation = one `infisical secrets set` + `systemctl restart`. No per-host file edits.
- **Survives vault outage**: the `.env` fallback (Rule 3) keeps the gateway running if Infisical is unreachable or the service token is revoked.
- **Survives gateway crash**: the wrapper's `while true` + systemd `Restart=always` revive the gateway. Two-layer defense.
- **Survives Hermes updates**: systemd drop-in overrides unit file ExecStart — `hermes gateway install` cannot break the vault injection.
- **Survives reboot**: systemd user service + `loginctl enable-linger` ensures gateway starts at boot without a login session.
- **Auditable**: `cat /proc/$(pgrep hermes_cli)/environ` shows all injected keys; `infisical secrets` shows the vault source.
### Migration status (2026-07-17)
| Agent | Host | Pattern | Keys | Status |
|-------|------|---------|------|--------|
| abiba | .24 | pi agent wrapper | ABIBA_LITELLM_API_KEY + ABIBA_ZULIP_API_KEY | ✅ vault-backed |
| mumuni | .123 | systemd drop-in + while-true wrapper + st.8e848433 | MUMUNI_LITELLM_API_KEY + MUMUNI_ZULIP_API_KEY | ✅ vault-backed + .env fallback |
| tanko | .122 | systemd drop-in + while-true wrapper + st.8e848433 (user jerome) | TANKO_LITELLM_API_KEY + TANKO_ZULIP_API_KEY | ✅ vault-backed + .env fallback |
| koby | .129 | systemd drop-in + while-true wrapper + st.8e848433 | KOBY_LITELLM_API_KEY, shares TANKO_ZULIP_API_KEY (tanko-bot) | ✅ vault-backed |
| koonimo | .114 | systemd drop-in + while-true wrapper + st.8e848433 | KOONIMO_LITELLM_API_KEY + KOONIMO_ZULIP_API_KEY | ✅ vault-backed |
> Tanko runs as user `jerome` — wrapper/token at `~/.hermes/infisical-gateway.sh` and
> `~/.infisical-token`. Linger enabled (`loginctl enable-linger jerome`) for boot startup.
### Tanko migration (COMPLETED 2026-07-17)
Tanko was the last agent migrated from hardcoded keys to vault wrapper.
Previously: key hardcoded in `/home/jerome/.hermes/config.yaml` (`api_key: sk-CggiHWlamQy…`)
and `zulip-env.conf` systemd drop-in. Now: user-scope systemd service with drop-in
`50-vault-wrapper.conf`, `infisical-gateway.sh` wrapper with while-true loop, token at
`~/.infisical-token`, `.env` fallback at `~/.hermes/.env`. Keys injected live from vault.
### Koby migration lessons (2026-07-16, updated 2026-07-17)
Migrated Koby from hardcoded systemd drop-in → `infisical-gateway.sh` wrapper.
**Three mistakes made:**
1. **Overwrote `/root/.hermes/.env`** without backing it up. The Zulip API key only existed
in the running process memory — the old .env was minimal (just LiteLLM key). Zulip creds were
inherited from the pre-migration gateway env, not stored in any file. Lost on restart.
2. **Only injected `LITELLM_API_KEY`** in the wrapper — forgot Zulip + Telegram credentials.
Agents need ALL their platform env vars. Missing vars cause silent adapter failures.
3. (2026-07-17 fix) **VENV variable in single-quoted bash -c**: `exec "$VENV/bin/python"`
inside single quotes resolved to `exec "/bin/python"` (file not found). Hardcoded full path.
**How Koby actually connects:**
- Zulip: shares **Tanko's bot** (`tanko-bot@chat.sysloggh.net`, `TANKO_ZULIP_API_KEY=5PeD6f3zo…`).
- Telegram: token from `.env` fallback. Allowed users: 6679773481.
- Both platforms now connect through the wrapper's env injection.
**Golden rules for gateway restarts:**
1. Always `cat /proc/<pid>/environ` before killing the old process — captures the live env set.
2. Hardcode venv python path in wrapper — never use variables inside single-quoted bash -c.
3. Use systemd drop-ins (not unit file edits) to override ExecStart — survives Hermes updates.
### Fleet-wide standardization lessons (2026-07-17)
After auditing all 4 agents, five systemic patterns caused repeated failures:
1. **Three incompatible startup patterns** coexisted (systemd drop-in, direct python, orphaned wrapper)
2. **Systemd unit files reverted** by `hermes gateway install` during updates
3. **VENV variable scoping** broke wrappers on Koby and Mumuni (single-quote bash -c)
4. **Service token expiry** — Tanko's `st.353699cd` was deleted from Infisical
5. **No ZULIP_API_KEY** in env on Tanko — wrapper bypassed by systemd direct python
All resolved by the canonical drop-in + while-true wrapper pattern documented above.
### Key rotation procedure (one vault operation with this standard)
1. Generate new key: `POST /key/generate` (master key, admin).
2. Update vault: `infisical secrets set <AGENT>_LITELLM_API_KEY=sk-NEW --token=$TOKEN --projectId=322fceab… --env=prod --domain=https://vault.sysloggh.net`.
3. Update `.env` fallback: `echo '<AGENT>_LITELLM_API_KEY=sk-NEW' > /root/.hermes/.env && chmod 600 /root/.hermes/.env`.
4. Restart: `systemctl restart hermes-gateway`. The wrapper pulls the new key live.
5. Verify: `curl -H "Authorization: Bearer sk-NEW" http://192.168.68.116/v1/models` → 200.
## Machine Identity for Vault Writes (UPDATED 2026-07-17)
**Current state:** Infisical CLI updated to v0.43.109 on all agents (from v0.38.0).
The v0.38.0 bug (user-session auth fails for `secrets set`/`export`) is resolved.
Service token `st.8e848433…` (abiba, READ+WRITE) can write to vault from CLI.
**Proper fix — per-agent Machine Identities:**
Create machine identities in Infisical UI → Project Settings → Machine Identities
for each agent with READ-only scope on the `agents` project. Store client_id +
client_secret per agent. Then vault writes use the shared abiba identity, and
reads use per-agent identities. This eliminates the single shared token risk.
**Service Token Inventory (2026-07-17):**
| Token ID | Name | Permissions | Used By | Status |
|----------|------|-------------|---------|--------|
| `st.8e848433…` | tanko-gateway | READ+WRITE | Mumuni, Tanko, Koby, Koonimo, Abiba | ✅ Active |
| `st.353699cd…` | tanko-agent | READ-only | — | ❌ Deleted from Infisical |
**Per-agent .env fallback inventory (2026-07-17):**
| Agent | .env Keys |
|-------|-----------|
| Mumuni | MUMUNI_LITELLM_API_KEY, MUMUNI_ZULIP_API_KEY |
| Tanko | TANKO_LITELLM_API_KEY, TANKO_ZULIP_API_KEY |
| Koby | (wrapper injects from vault — .env has Telegram token) |
| Koonimo | KOONIMO_LITELLM_API_KEY, KOONIMO_ZULIP_API_KEY |
## Key Rotation Log
| Date | Agent | Action | Notes |
|------|-------|--------|-------|
| 2026-07-17 | fleet | standardize | All 4 agents standardized on systemd drop-in + while-true wrapper + infisical v0.43.109. Removed conflicting zulip-env.conf + litellm-key.conf drop-ins. Added .env fallbacks with ZULIP keys. WAL #1322. |
| 2026-07-17 | tanko | fix-zulip | Added ZULIP_API_KEY to env (was missing — systemd bypassed vault). Updated wrapper from exec to while-true. Created .env fallback. Removed hardcoded zulip-env.conf drop-in. WAL #1321. |
| 2026-07-16 | vault | cleanup | 4 stale secrets deprecated. 5 personal creds flagged. |
| 2026-07-16 | koonimo | add-zulip | Added KOONIMO_ZULIP_API_KEY to vault. Wrapper injects ZULIP_API_KEY + ZULIP_EMAIL. 3 platforms. |
| 2026-07-16 | tanko | migrate | Migrated from hardcoded config.yaml to infisical-gateway.sh + st.353699cd. NOTE: st.353699cd later deleted — reverted to st.8e848433 on 2026-07-17. |
| 2026-07-16 | mumuni | rotate | Old key malformed (sk-_SWAl_Vu_, 47 chars, not LiteLLM format) → 401. Deleted old `mumuni` key (token 15cbca18…), generated fresh (alias `mumuni`, 7 models: syslog-auto, qwen3.6-27B-code, gemma-4-12b, strix-moe, gpu-dense, gpu-light, qwen3.6-35B-udq4). New key sk-OzuWsoX2… written to /root/.hermes/.env (Rule 3/13 fallback). Vault sync PENDING (needs machine identity). WAL #1300. |
| 2026-07-16 | koby | rotate | Old key sk-6sbCNjz (401, stale in /etc/environment). Deleted old `koby` key, generated fresh (alias `koby`). New key sk-BqRRMboTI… in systemd drop-in `hermes-gateway.service.d/litellm-key.conf` + /etc/environment. Created `hermes-gateway.service` unit (was missing — gateway wasn't persistent) with `--replace`. Verified HTTP 200, Telegram connected. |
| 2026-07-16 | baggy (koonimo) | rotate | Old key sk-krnw_zGB (401, hardcoded in systemd drop-in). Deleted old `baggy` key, generated fresh (alias `baggy`, metadata agent=koonimo). New key sk-OEK7z26n6E… in drop-in `hermes-gateway.service.d/litellm-key.conf`. CT113 IP changed .113→.114. Verified HTTP 200, Zulip connected. |
## LiteLLM Master Key (use sparingly — agents should NOT use it directly)
- Master key: `sk-litellm-7f96080dd99b15c36bd4b333b58a6796` (in /opt/inference-harness/.env on CT116, Infisical project=infrastructure env=production secret=LITELLM_MASTER_KEY)
- Used for /key/generate, /key/delete, /key/list (GET), DB queries
- **Known violation (RESOLVED 2026-07-16):** Abiba's LITELLM_API_KEY was previously the master key.
It is now a dedicated agent key `sk-sxbphLvk1OU…` (vault secret `ABIBA_LITELLM_API_KEY`, alias `abiba-pi`).
The master key is admin-only (/key/generate, /key/delete, /key/list). NEVER use it for inference —
see `litellm-self-heal` § "NEVER use litellm_proxy_master_key for inference".
- LiteLLM key DB: `harness-postgres` container on CT116, table `"LiteLLM_VerificationToken"` (columns: token, key_alias, key_name, created_at, expires). Query: `docker exec harness-postgres psql -U litellm -d litellm -t -c "SELECT key_alias, substr(token,1,16) FROM \"LiteLLM_VerificationToken\" ORDER BY created_at;"`
+10 -10
View File
@@ -42,8 +42,8 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
**What changed (v3.2.0 → v4.0.0 — 2026-07-08)**:
- Router REMOVED from request path — LiteLLM proxies directly to GPU
- All GPUs at parallel 2 (was parallel 1)
- NVIDIA context reduced 256K→128K to free VRAM
- LiteLLM timeouts tuned: gemma 25→120s, qwen 40→90s
- NVIDIA context reduced 256K→128K to free VRAM (SUPERSEDED 2026-07-16: all GPUs back to 256K — see litellm-self-heal)
- LiteLLM timeouts tuned: gemma 25→120s, qwen 40→90s (SUPERSEDED 2026-07-16: qwen 300s, gemma 120s, strix 300s — see litellm-self-heal)
- nginx proxy_read_timeout: 600s, LiteLLM request_timeout: 300s
## Parameters
@@ -72,18 +72,18 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
| Host | IP | Hardware | Models Served | Engine | Context | Parallel |
|------|-----|----------|---------------|--------|---------|----------|
| llm-gpu | 192.168.68.8 | NVIDIA RTX 3090 (24 GB) | qwen3.6-27B-code | llama-server systemd | 128K | 2 |
| ocu-llm | 192.168.68.110 | NVIDIA RTX 5070 (12 GB) | gemma-4-12b | llama-server systemd | 128K | 2 |
| amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | ornith-1.0-35b | llama-server systemd (Vulkan) | 256K | 2 |
| llm-gpu | 192.168.68.8 | NVIDIA RTX 3090 (24 GB) | qwen3.6-27B-code | llama-server systemd | **256K** | 2 |
| ocu-llm | 192.168.68.110 | NVIDIA RTX 5070 (12 GB) | gemma-4-12b | llama-server systemd | **256K** | 2 |
| amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | qwen3.6-35B-udq4 (LiteLLM alias: strix-moe) | llama-server systemd (Vulkan) | 256K | 2 |
## Model Fallback Chains (LiteLLM)
| Primary | Timeout | Fallback | Timeout |
|---------|---------|----------|---------|
| qwen3.6-27B-code | 90s | gemma-4-12b | 120s |
| gemma-4-12b | 120s | qwen3.6-27B-code | 90s |
| ornith-1.0-35b | 120s | qwen → gemma | — |
| syslog-auto (balanced) | 90s | qwen → gemma | — |
| qwen3.6-27B-code | 300s | gemma-4-12b | 120s |
| gemma-4-12b | 120s | qwen3.6-27B-code | 300s |
| qwen3.6-35B-udq4 / strix-moe | 300s | qwen → gemma | — |
| syslog-auto (balanced) | 300s | qwen → gemma | — |
> Global: request_timeout=300s, nginx proxy_read_timeout=600s
@@ -129,7 +129,7 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
7. **Check model inference via LiteLLM** — Test each model:
- POST /v1/chat/completions model=gemma-4-12b → expect 200
- POST /v1/chat/completions model=qwen3.6-27B-code → expect 200
- POST /v1/chat/completions model=ornith-1.0-35b → expect 200
- POST /v1/chat/completions model=strix-moe → expect 200
- Use master key for auth
8. **Check agent keys**:
+27 -8
View File
@@ -6,6 +6,7 @@ note: >
DEPLOYED 2026-07-12 on CT 116 cron: 0 */6 * * *
Auto-remediation code was removed from the pi Zulip extension (retired 2026-07-04),
now reimplemented as `litellm-health-check.sh` on CT 116.
Script: `/opt/inference-harness/scripts/litellm-health-check.sh` on CT 116 (cron `0 */6 * * *`).
Reports to /var/log/litellm/health-*.json and RA-H OS knowledge graph.
GPU monitoring integrated from gpu-monitor on .24:9100.
@@ -56,18 +57,29 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
| Host | IP | Hardware | Models Served | Engine | Context | Parallel |
|------|-----|----------|---------------|--------|---------|----------|
| llm-gpu | 192.168.68.8 | NVIDIA RTX 3090 (24 GB) | qwen3.6-27B-code | llama-server systemd | **256K** | 1 |
| ocu-llm | 192.168.68.110 | NVIDIA RTX 5070 (12 GB) | gemma-4-12b | llama-server systemd | 131K | 2 |
| amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | ornith-1.0-35b | llama-server systemd (Vulkan) | 256K | 2 |
| llm-gpu | 192.168.68.8 | NVIDIA RTX 3090 (24 GB) | qwen3.6-27B-code | llama-server systemd (`/home/llmuser/llama-wrapper.sh`, `-c 262144 --parallel 2 --ngl 99`) | **256K** | 2 |
| ocu-llm | 192.168.68.110 | NVIDIA RTX 5070 (12 GB) | gemma-4-12b | llama-server systemd (`/home/llmuser/llama-wrapper.sh`, `--ctx-size 262144 --parallel 2`, IQ4_NL + MTP draft) | **256K** | 2 |
| amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | qwen3.6-35B-udq4 (LiteLLM alias: `strix-moe`) | llama-server systemd (Vulkan) | 256K | 2 |
> Verified on ground 2026-07-16 via `curl /v1/models` on each host + `llama-wrapper.sh`. The AMD host's underlying model is `qwen3.6-35B-udq4`; LiteLLM exposes it under two `model_name`s: `qwen3.6-35B-udq4` and `strix-moe` (rpm 40). The legacy name `ornith-1.0-35b` does NOT exist in LiteLLM and must not be referenced.
## LiteLLM Model Surface (ground truth — `/opt/inference-harness/litellm_config.yaml` on CT 116)
`model_name`s served: `qwen3.6-27B-code`, `gemma-4-12b`, `qwen3.6-35B-udq4`, `strix-moe`, `gpu-dense`, `gpu-light`, `syslog-auto`.
- `syslog-auto` is a weighted router model: qwen3.6-27B-code (0.55, rpm 500) + qwen3.6-35B-udq4 (0.30, rpm 60) + gemma-4-12b (0.15, rpm 200).
- `gpu-dense` / `gpu-light` are high-rpm aliases (rpm 500) onto qwen3.6-27B-code / gemma-4-12b respectively.
- Key scoping: agent keys are restricted to `['syslog-auto','qwen3.6-27B-code','gemma-4-12b','strix-moe','gpu-dense','gpu-light']`. As of 2026-07-16 the `baggy`/`koby`/`mumuni`/`abiba-pi` keys ALSO include `qwen3.6-35B-udq4`; `abiba-pi` additionally includes `deepseek-v4-pro` (cloud fallback). `kagenz0`/`koonimo`/`pi-agents-unified` have the standard 6 only. Agents should still use the stable alias `strix-moe` (not the raw `qwen3.6-35B-udq4`) so model swaps don't break them.
- **NEVER use `litellm_proxy_master_key` (the `sk-litellm-...` master key) for inference.** It is for admin endpoints only (`/key/list`, `/key/generate`, `/key/info`). All inference — agent traffic, health-check model tests, monitor scripts — uses agent-specific keys. The health-check script's model tests use a dedicated `monitor` agent key stored at `/etc/litellm-monitor.env` on CT 116 (root-only, `chmod 600`); `/key/list` is the only call that legitimately uses `$MASTER_KEY`.
## Model Fallback Chains (LiteLLM)
| Primary | Timeout | Fallback | Timeout |
|---------|---------|----------|---------|
| qwen3.6-27B-code | 90s | gemma-4-12b | 120s |
| gemma-4-12b | 120s | qwen3.6-27B-code | 90s |
| ornith-1.0-35b | 120s | qwen → gemma | — |
| syslog-auto (balanced) | 90s | qwen → gemma | — |
| qwen3.6-27B-code | 300s | gemma-4-12b | 120s |
| gemma-4-12b | 120s | qwen3.6-27B-code | 300s |
| qwen3.6-35B-udq4 / strix-moe | 300s | qwen → gemma | — |
| syslog-auto (balanced) | 300s | qwen → gemma | — |
> Global: request_timeout=300s, nginx proxy_read_timeout=600s
@@ -86,6 +98,13 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
| harness-docker-stats | python:3.12-alpine | — | container stats exporter |
| harness-pve-exporter | prompve/prometheus-pve-exporter | — | Proxmox metrics → Prometheus |
## Script Operations (synced 2026-07-16)
- **Health-check script** (`/opt/inference-harness/scripts/litellm-health-check.sh` on CT 116): `gpu-fleet` check fails only on **critical** alerts (warnings are informational). Tests `strix-moe` (not `ornith-1.0-35b`).
- **GPU monitor** (`/root/scripts/gpu-monitor-server.py` on pi .24): runs as **systemd unit `gpu-monitor.service`** (was bare `&` process). `gpu_count` includes Strix Halo (was 2, now 3). VRAM alert thresholds: warning 93%, critical 97% (raised from 90/95 — 256K context steady-state is ~96% on RTX 3090, not a fault).
- **Agent key monitor** (`/root/scripts/agent-health-check.py` on pi .24, cron `*/10`): reads each agent's **live** `LITELLM_API_KEY` from its gateway process env via SSH — never hardcodes keys (hardcoded keys rot on rotation and caused 9×401/30min). Fleet roster: abiba, tanko, mumuni, koby, koonimo (legacy `tdunna`/`baggy` removed — never existed).
- **Stale keys cleaned**: `daily-infra-report.py` SYNTHETIC_API_KEY was stale (`sk-U_ydi3B` → 401); now reads `LITELLM_MASTER_KEY` from env. Deprecated scripts (`router-original.py`, `router-phase0-backup.py`, `apply-fixes.py`) still reference `sk-syslog-local-master-key` but do not actively poll LiteLLM.
## Maintains
- litellm-admin-ui: { status: "healthy", last_check: timestamp }
@@ -128,7 +147,7 @@ Run this first on every cycle. Results feed into remediation rules below.
### 5. Check model inference via LiteLLM — test each model
- POST /v1/chat/completions model=gemma-4-12b → expect 200
- POST /v1/chat/completions model=qwen3.6-27B-code → expect 200
- POST /v1/chat/completions model=ornith-1.0-35b → expect 200
- POST /v1/chat/completions model=strix-moe → expect 200
- Use master key for auth
### 6. Check agent keys
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@@ -0,0 +1,290 @@
---
kind: pattern
name: mumuni-delegation
description: >
Mumuni-specific operating doctrine for task decomposition, worker
delegation, verification, and delivery. Defines when to delegate, which
worker to use for what, how to handle failures, and the kanban board
protocol. Enforces context-window discipline and separation of concerns.
Runs on Mumuni (CT 118, storepve, .6) via Hermes agent.
version: 1.0.0
---
## Maintains
- Worker roster: 6 profiles (`syslog-code`, `syslog-devops`, `syslog-email`,
`syslog-research`, `syslog-review`, `syslog-writer`)
- Kanban board state at `~/.hermes/kanban/kanban.json`
- Context window budget: ~65K tokens per request (131K total, 60% threshold)
## Topology
**Cluster:** 5 Proxmox nodes (ocupve, acerpve, minipve, amdpve, storepve)
**Manager:** Mumuni (CT 118, storepve, .6) via Hermes agent
**Workers:** 6 profiles, all running on the same agent — no separate hosts needed
This contract is infrastructure-agnostic in terms of which nodes are used.
Workers execute tasks on whatever infrastructure they're given — SSH to .6,
.pm, .9, .12, or .15 depending on the task. The contract defines the
**who** and **when** — not the **where**.
## Why This Matters
Without enforced delegation, the manager consumes the full iteration budget
(60 calls) on single-turn tasks — SSH to 5 nodes, check each VM, read logs —
leaving no capacity for actual coordination. The result: context overflow
(59K tokens in system prompt), iteration exhaustion, and degraded response
quality. This contract exists because I blew through my budget checking
Proxmox node status instead of delegating to `syslog-devops`.
## Context Window Discipline
**The system prompt is ~6.5K tokens (stable: ~4.5K tool schemas + ~2K other guidance).**
**Volatile (MEMORY.md + USER.md): ~300 tokens.**
**Total base: ~6,800 tokens per request.**
The remaining budget is the conversation. Every tool call result adds to it.
If a single call returns >10K tokens (e.g., `grep` on a large file, SSH output
from multiple nodes), the context fills fast. That's why we delegate: workers
process in isolation and return compact results.
## Trigger Conditions
Delegation is **mandatory** when any of these apply:
| Condition | Threshold | Example |
|-----------|-----------|---------|
| Multiple tool calls needed | 2+ calls with intermediate logic | Read file → analyze → write report |
| Large data retrieval | Output >5K tokens | `grep -r "pattern" /path` on large dirs |
| Cross-domain work | Spans 2+ worker specialties | Infra check + email filter |
| Infrastructure changes | Any mutating operation | `qm set`, `systemctl restart`, `git push` |
| Research/analysis | Needs browser or deep reading | Web research, code review, data analysis |
| Code builds or changes | Writing or modifying code | Scripts, configs, patches |
| Sequential dependencies | Worker B needs Worker A's output | Code → Review → Deliver |
**Single tool calls stay at manager level.** Quick `grep`, `ls`, `cat`,
`curl`, `hermes tools list` — these are decision-making tools. The manager
reads them directly.
## Data Source Integrity (CRITICAL)
**Workers MUST use the data provided in their task context. They MUST NOT
fetch their own data from external sources unless explicitly told to.**
When a task says "Read file X and format it", the worker reads file X. It does
not query a separate API, run its own diagnostics, or pull data from a different
system. This is the #1 source of cross-worker inconsistency: one worker gathers
SSH data, another queries the Proxmox API, and the report merges two incompatible
datasets.
**Rule:** If a worker needs additional data beyond what's in its task description,
it asks the manager (via relay) — it doesn't go find it on its own.
**This is a hard rule, not a recommendation.** Violating it produces the exact
type of discrepancy the kanban pipeline exists to prevent: a review worker finds
"5 nodes present" in the raw data but "5/5 online" in the report — even though
one of those nodes was unreachable. The report lied because it used data the
raw data never provided.
## Worker Selection Matrix
| Worker | Model | Toolsets | Role | Use When |
|--------|-------|----------|------|----------|
| `syslog-code` | qwen3.6-27B-code | terminal, file, web, memory, skills | Code patches, automation, scripts | Writing/modifying code, creating scripts, debugging, reading/writing files |
| `syslog-devops` | qwen3.6-27B-code | terminal, file, web, memory, skills | Infrastructure, DB, bridge, Proxmox | Server ops, SSH, Docker, Proxmox, DB queries, hardware checks |
| `syslog-email` | strix-moe | terminal, file, web, memory, skills | Email automation, mail operations | Sending/receiving email, inbox management, SMTP operations |
| `syslog-research` | strix-moe | terminal, file, web, memory, skills, **browser** | Analysis, classification, data processing | Web research, browser tasks, data analysis, classification, reading docs |
| `syslog-review` | strix-moe | terminal, file, web, memory, skills | Verification, QA, audit validation | **ALWAYS** verify worker output before delivery — especially for infra changes, code builds, and research findings |
| `syslog-writer` | strix-moe | terminal, file, web, memory, skills | Docs, content, branding, reports | Writing docs, reports, proposals, content, markdown formatting |
### Selection Rules
1. **Match specialty first.** A code task → `syslog-code`. An infra task →
`syslog-devops`. Don't put a `syslog-email` worker on a code review.
2. **Research tasks with browser needs → `syslog-research`.** Other workers
don't have the browser toolset.
3. **Verification → `syslog-review`.** Never deliver raw worker output.
4. **Documentation/content → `syslog-writer`.** Let them own the prose.
5. **If unsure, delegate to `syslog-research`** — it has the broadest toolset
(includes browser) and high reasoning effort.
## Delegation Protocol
### Step 1: Decompose
Break the task into lanes. Each lane does ONE thing. Workers are independent —
no lane depends on another's output mid-flight. If lanes depend on each other,
dispatch sequentially.
### Step 2: Dispatch
Fire workers via `delegate_task`:
**Critical: Pass the data, not just the goal.** When dispatching a worker that
processes output from another worker, include the file path AND explicit
instructions to use ONLY that source. Example:
```
delegate_task(
goal="Format the cluster check into a clean report",
context="Source data is at /tmp/proxmox-check-raw.md. Format ONLY the data
in that file. Do NOT query the Proxmox API or any other data source. Use the
file as your sole source of truth."
)
```
**Parallel (independent lanes):**
```
delegate_task(
tasks=[
{"goal": "Check all 5 Proxmox nodes for VM status", "context": "SSH to each node via 192.168.68.x, run 'qm list'"},
{"goal": "Check Docker container health on .7/.116/.17", "context": "SSH to each host, check container status"},
]
)
```
**Sequential (dependent lanes):**
Dispatch lane 1 → wait for result → dispatch lane 2.
### Step 3: Verify
**MANDATORY for:**
- Infrastructure changes (any `qm`, `pct`, `systemctl`, `git push`)
- Code builds and modifications
- Research findings (web data, external sources)
- Any output that will reach the user
**Fire `syslog-review` to verify:**
```
delegate_task(
goal="Review the output of the devops worker. Verify the node status
report is accurate, check for inconsistencies, confirm all nodes were
reachable.",
context="Worker was syslog-devops. Output is at /tmp/node-report.md.
Verify against live system."
)
```
**If verification fails:**
1. Send work back to original worker with review feedback
2. Re-verify
3. Max 2 re-verify cycles before escalating to Kwame
### Step 4: Deliver
Only verified results reach Kwame. Format per channel:
- Telegram: Use `telegram-formatting` skill
- Zulip: Use Zulip Markdown (CommonMark)
- Email: Use `syslog-email` skill
## Kanban Board Protocol
**File:** `~/.hermes/kanban/kanban.json`
```json
{
"task_id": "unique-id",
"title": "Task description",
"created": "2026-07-09T01:00:00",
"status": "backlog|in_progress|review|done",
"lanes": [
{
"lane_id": "devops-check",
"worker": "syslog-devops",
"goal": "Check all 5 Proxmox nodes",
"status": "dispatched|completed|failed",
"output_file": "/tmp/node-report.md"
}
]
}
```
**Update the board on every state change.**
## Failure Handling
### Worker Timeouts
- Child timeout: **900 seconds** (15 minutes)
- Worker model `syslog-auto` is slow — it can hit the timeout limit with
22+ API calls
- **If a worker times out:** Re-dispatch with a narrower scope. Break the
task into smaller pieces that fit in the timeout window.
- **Avoid delegating sequential SSH hops** — each SSH connection adds latency
that compounds quickly. Prefer API-based or local approaches when possible.
### Worker Selection Failures
- `syslog-devops` is best for infrastructure tasks (SSH, Proxmox, Docker)
- `syslog-code` is best for code-level work (reading files, writing scripts)
- `syslog-research` has the browser toolset — use for web research
- `syslog-review` is the QA gate — always fire before delivery
- **Never fire more than 3 parallel workers** (max_concurrent_children: 3)
- **Never nest delegation** (max_spawn_depth: 1)
### Context Overflow
- If a task requires >10K tokens of output, delegate the processing
- Workers return compact summaries, not raw data dumps
- Pass file paths and concrete goals — never dump raw data into context
## Anti-patterns
- ❌ Reading large files into your own context before deciding → delegate the read
- ❌ Carrying SSH/grep/output results in your context → delegate the analysis
- ❌ Doing work yourself and then "pretending" to delegate → the user can tell
- ❌ Skipping verification → raw worker output never reaches the user
- ❌ Delegating single tool calls → keep quick reads/writes at manager level
- ❌ Firing more than 3 workers in parallel → hard limit
- ❌ **Workers fetching their own data sources** → a writer worker that queries the Proxmox API when told to "format the raw file" is fabricating data. Use the input given, not external sources
## Emergency Exception
**In an emergency (server down, service must be restored immediately):**
- Delegate the diagnosis (find the problem)
- Execute the fix yourself (minimize handoff latency)
- Verify the fix after delivery
- Log the exception in the kanban board
The emergency exception exists because the user needs the service back NOW,
not after three worker round-trips. But it's an exception — not the rule.
## What This Contract Doesn't Cover
1. **Worker profile configuration** — covered by `hermes-config-template.prose.md`
2. **SSH key management** — covered by existing SSH/Proxmox contracts
3. **Git workflow** — covered by `AGENTS.md` in the prose-contracts repo
4. **Cron job management** — covered by individual cron contracts
5. **Infra verification** — covered by `verify-before-mutate` protocol
## Verification
Run `scripts/worker-audit.py` to verify all 6 profiles are aligned:
```bash
python3 /root/.hermes/skills/kanban-orchestrator/scripts/worker-audit.py
```
## References
- `kanban-orchestrator` skill: The operational playbook (detailed execution steps)
- `worker-profile-audit.md` (skill reference): Worker configuration audit notes
- `delegation-timeout-patterns.md` (skill reference): Timeout handling patterns
- `verify-before-mutate` protocol: Infrastructure change verification
- `hermes-config-template.prose.md`: Worker profile configuration
## Success Criteria
This contract succeeds when:
1. **No context overflow** — single-turn tasks don't exhaust the iteration budget
2. **Workers do the work** — manager coordinates, doesn't execute
3. **Verification before delivery** — all output passes through `syslog-review`
4. **Kanban board is current** — every task has a lane, every lane has a status
5. **User gets verified results** — raw worker output never reaches Kwame
---
**Last updated:** 2026-07-09
**Author:** Mumuni (with Kwame's input on triggers and exception criteria)
**Status:** Draft — awaiting PR review and merge to prose-contracts main
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@@ -0,0 +1,210 @@
---
kind: pattern
name: ra-h-os-custodianship-contract
description: >
Operational standards for maintaining RA-H OS as a high-functioning shared
memory system across all agents. Defines rules for embedding consistency,
namespace discipline, staleness management, orphan prevention, agent
custodianship, and recovery protocols. Prevents knowledge graph degradation
and ensures reliable semantic search capabilities.
---
# RA-H OS Custodianship Contract — Shared Memory Protocol
## Purpose
This contract establishes the operational standards for maintaining RA-H OS as a high-functioning shared memory system across all agents. It defines the rules, responsibilities, and recovery protocols that prevent knowledge graph degradation and ensure consistent, reliable semantic search capabilities.
## Core Principles
### 1. Embedding Consistency
**Rule:** All nodes MUST use the RA-H OS built-in embedding pipeline via `http://192.168.68.65:8080/v1/embeddings` for consistent vector representation.
**Requirements:**
- The embedding service at `192.168.68.65:8080` is the single source of truth for vector generation
- No external embedding APIs (OpenAI, Cohere, etc.) may be used for RA-H OS nodes
- All nodes must have `embedding_status: "chunked"` and `chunk_status: "chunked"` upon creation
- If embedding fails, the node must be immediately flagged as `state: "unsearchable"` and logged
### 2. Namespace Discipline
**Rule:** All nodes MUST be categorized into one of three namespaces with strict metadata requirements.
**Namespace Structure:**
- `agent-private`: Isolated working notes for individual agents (Mumuni, Tanko, Okyeame, etc.)
- `shared`: Policy files, registry nodes, collective knowledge
- `syslogsolution`: Business nodes, client data, operational context
**Metadata Requirements:**
Every node MUST have these metadata fields:
```json
{
"agent_id": "<agent_name>",
"namespace": "<namespace>",
"state": "<state>",
"type": "<type>",
"owner": "<owner>",
"tenant": "<tenant>",
"visibility": "<visibility>",
"source": "<source>",
"captured_by": "<captured_by>"
}
```
### 3. Staleness Management
**Rule:** Nodes are categorized by type and have specific staleness thresholds.
**Staleness Thresholds:**
- `policy` type: 30 days (e.g., Shared Memory Policy, Agent Registry)
- `registry` type: 30 days (e.g., Node State Management, Health Dashboard)
- `template` type: 30 days (e.g., Agent SOUL.md)
- `note` type: 60 days (e.g., business context, project notes)
- `information` type: 90 days (e.g., reference documentation)
- `idea` type: 30 days (e.g., brainstorming, experimental notes)
**Transition Protocol:**
- `active``stale`: After days since `updated_at` exceeds threshold
- `stale``review_pending`: Daily cron check flags for human review
- `review_pending``active`: Human reviews and updates content
- `review_pending``archived`: After 15 days in review_pending state (automatic purge)
### 4. Orphan Prevention
**Rule:** No node should remain orphaned (0 edges) for more than 7 days.
**Orphan Detection:**
- Daily cron job identifies nodes with 0 incoming/outgoing edges
- Orphans are flagged with `state: "review_pending"` and `metadata.orphan_detected: true`
- 7-day grace period: Orphans must be either:
- Connected to relevant nodes via edges
- Merged into existing parent nodes
- Archived after 15 days in review_pending state
### 5. Agent Custodianship
**Rule:** Each agent is responsible for maintaining their own created nodes.
**Responsibilities:**
- **Mumuni**: Primary custodian for `syslogsolution` namespace, health dashboard, and all business nodes
- **Tanko**: Custodian for `agent-private` namespace, personal notes, and fitness/creative work
- **Okyeame**: Custodian for `shared` namespace, policy files, and collective knowledge nodes
- **All Agents**: Must verify embedding status before reporting node creation as complete
### 6. Embedding Failure Recovery
**Rule:** When embedding pipeline is unavailable, nodes are blocked from creation or immediately flagged.
**Recovery Protocol:**
1. **Detection**: Daily health check monitors `http://192.168.68.65:8080/health` endpoint
2. **Alert**: If embedding service is down, alert is sent to all agents via relay
3. **Mitigation**:
- New node creation is suspended
- Existing nodes with `chunk_status: "not_chunked"` are flagged as `unsearchable`
4. **Recovery**: When service returns:
- All `not_chunked` nodes are queued for re-embedding
- Re-embedding status logged in `embedding_retry_log` table
- 5-minute retry window with exponential backoff (1s, 2s, 4s, 8s, 16s)
### 7. Chunking Verification
**Rule:** All node modifications must verify chunking status within 5 minutes.
**Verification Protocol:**
- After `updateNode` or `createNode`, query `chunks` table for `node_id`
- If `chunk_status != "chunked"` after 5 minutes, log failure and flag node
- Automated cleanup script runs every 6 hours to retry failed chunks
- Maximum 3 retry attempts per node before escalation to human
### 8. Graph Health Monitoring
**Rule:** Health dashboard (Node #74) must reflect real-time graph status.
**Dashboard Requirements:**
- Total nodes, edges, orphans, stale nodes, chunk errors
- Embedding service health status
- Last successful embedding attempt
- Alert thresholds:
- Orphan rate > 40%: Warning
- Stale node rate > 50%: Critical
- Chunk error rate > 30%: Critical
- Embedding service down: Critical (immediate alert)
## Operational Procedures
### Daily Maintenance (Automated)
1. **Staleness Check**: Identify nodes past their threshold
2. **Orphan Detection**: Flag nodes with 0 edges
3. **Chunk Verification**: Retry failed chunks, log errors
4. **Health Update**: Refresh Node #74 dashboard
### Weekly Maintenance (Human Review)
1. **Review Pending Nodes**: Examine flagged nodes
2. **Edge Optimization**: Connect related orphaned nodes
3. **Archive Cleanup**: Remove nodes past 15-day review period
4. **Embedding Audit**: Verify all nodes have valid embeddings
### Emergency Recovery
1. **Embedding Service Down**:
- Suspend node creation
- Alert all agents
- Investigate root cause (check `192.168.68.65:8080`)
2. **Database Corruption**:
- Restore from latest PBS backup
- Verify chunk integrity
- Re-run embedding for affected nodes
3. **Mass Orphan Creation**:
- Identify source agent/namespace
- Review recent changes
- Reconnect or archive affected nodes
## Compliance & Enforcement
### Audit Schedule
- **Daily**: Automated health checks
- **Weekly**: Human review of review_pending nodes
- **Monthly**: Comprehensive graph audit (full schema validation)
- **Quarterly**: Contract review and threshold adjustment
### Violation Consequences
- **First**: Alert to responsible agent
- **Second**: Node placed in `review_pending` state
- **Third**: Agent access suspended until remediation
- **Fourth**: Escalation to human (Kwame)
### Metrics for Success
- Orphan rate: < 10%
- Stale node rate: < 20%
- Chunk error rate: < 5%
- Embedding service uptime: > 99.9%
- Node creation verification: 100%
## Implementation Notes
### Database Schema Requirements
- `nodes` table: Standard fields plus `embedding_status`, `chunk_status`, `last_embedding_attempt`
- `chunks` table: Must track `chunk_status` and `embedding_status`
- `embedding_retry_log` table: Track retry attempts for failed chunks
- `node_state_history` table: Log state transitions for audit trail
### Cron Job Requirements
- `ra-h-health-check`: Daily (4h interval)
- `ra-h-staleness-detection`: Daily
- `ra-h-orphan-detection`: Daily
- `ra-h-chunk-retry`: Every 6 hours
- `ra-h-review-cleanup`: Weekly (15-day archive)
### Agent Onboarding
All new agents must:
1. Read this contract
2. Understand namespace responsibilities
3. Know how to verify embedding status
4. Know the alert escalation path
---
## Approval
This contract is effective immediately upon approval by the primary custodian (Mumuni) and system owner (Kwame).
**Effective Date:** July 10, 2026
**Review Date:** October 10, 2026
**Primary Custodian:** Mumuni 🦅
**System Owner:** Jerome Tabiri
---
*Contract Version: 1.0*
*Last Updated: July 10, 2026*
*Storage: `/root/.hermes/skills/ra-h-os-custodianship-contract.prose.md`*
+2 -2
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@@ -79,7 +79,7 @@ description: >
`messages_processed` stalls.
- **Root cause**: Agent's model config (`models.json` or `settings.json`) references a
model ID that doesn't exist in LiteLLM's authorized model list. Example: `qwen3.6-35B-A3B`
configured but LiteLLM only exposes `ornith-1.0-35b` under that key. pi's session
configured but LiteLLM only exposes `strix-moe` (alias for qwen3.6-35B-udq4) under that key. pi's session
workers emit 403 on first prompt, then never recover because the error doesn't trigger
`agent_end` — worker stays `busy` and all subsequent messages pile up in the steer queue.
- **Detection**: Compare `~/.pi/agent/models.json` model IDs against `curl -H "Authorization: Bearer <KEY>" http://192.168.68.116/v1/models` output. A stuck worker shows
@@ -88,7 +88,7 @@ description: >
(2) Set `defaultModel` to `syslog-auto` (safe routing model). (3) Delete stale session
JSONL files from `~/.pi/agent/sessions/zulip/`. (4) Restart PM2 process.
- **Prevention**: Use `syslog-auto` as default model for all agents — it handles model
routing and fallback automatically. Direct model IDs (`ornith-1.0-35b`, etc.) should
routing and fallback automatically. Direct model IDs (`strix-moe`, etc.) should
only be used when explicitly requested. Validate model IDs at agent setup time.
- **Applies to**: pi extension (Tdunna CT111, fixed 2026-07-08), any agent using `syslog-harness` provider
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---
kind: responsibility
name: zulip-resilience-v3
description: >
Rewrite the pi Zulip gateway with production-grade resilience patterns drawn from
Zulip's own event system docs (queue lifecycle, heartbeat monitoring, BAD_EVENT_QUEUE_ID
handling, idle_queue_timeout) and battle-tested Node.js resilience patterns
(circuit breaker, exponential backoff with jitter, bulkhead isolation, supervisor watchdog).
replaces: zulip-self-heal (retired)
agent: abiba
triggers:
- "/zulip self-heal v3"
- "zulip stopped responding"
- "PM2 abiba-zulip crashed"
---
# Zulip Gateway v3 — Production Resilience
## Architecture Overview
The current v2 gateway (`/root/.pi/agent/extensions/zulip/index.js`) has three structural
weaknesses that cause repeated deaths:
1. **No crash recovery** — uncaught errors kill the Node process, PM2 exhausts max_restarts
2. **No circuit breaker** — 502/fetch-failed errors escalate to process death with no fallback
3. **No queue lifecycle management** — doesn't use Zulip's documented heartbeat protocol or
idle_queue_timeout, so BAD_EVENT_QUEUE_ID errors cascade into crashes
The v3 rewrite addresses all three, following patterns from:
- [Zulip Events System docs](https://zulip.readthedocs.io/en/11.6/subsystems/events-system.html) —
queue registration, heartbeat, BAD_EVENT_QUEUE_ID recovery, call_on_each_event loop
- [Zulip API: Get Events](https://zulip.com/api/get-events) — long-poll timeout, dont_block, event ack
- [Circuit Breaker & Retry Patterns in Node.js 2026](https://1xapi.com/blog/resilient-api-circuit-breaker-bulkhead-retry-nodejs-2026) —
Opossum-based circuit breaker with fallback, retry with jitter, bulkhead isolation
---
## Maintains
- `zulip-gateway`: { status: "healthy" | "degraded" | "down" }
- `circuit-breaker`: { state: "CLOSED" | "OPEN" | "HALF_OPEN", failures, successes }
- `queue-lifecycle`: { queue_id, last_event_id, idle_timeout, heartbeat_age }
- `workers`: { count, busy, idle, stuck }
- `supervisor`: { pid, last_check, health_failures }
---
## Detection Rules
### Rule 1: Queue Expired (BAD_EVENT_QUEUE_ID)
- **Detect**: Events API returns error with BAD_EVENT_QUEUE_ID in body
- **Fix**: Call `POST /register` to create new queue, update queue_id and last_event_id
- **Debounce**: If 3 re-registrations fail within 60s, escalate (server may be down)
- **Ref**: Zulip docs: "Your software will need to handle that error condition by re-initializing itself"
### Rule 2: Network Degradation (502/ECONNREFUSED/fetch failed)
- **Detect**: Events API returns 502 or network error
- **Circuit breaker**: Track failure rate over 10s rolling window
- CLOSED → OPEN: 50% failure rate with ≥5 requests
- OPEN → HALF_OPEN: After 30s reset timeout
- HALF_OPEN → CLOSED: Probe succeeds
- HALF_OPEN → OPEN: Probe fails
- **While OPEN**: Log errors, skip events, notify user via DM: "⚠️ Zulip connection degraded — will retry in 30s"
### Rule 3: Long-Poll Timeout (natural)
- **Detect**: Events API response takes > `event_queue_longpoll_timeout_seconds`
- **Not an error**: Server sends heartbeat events when no real events. Simply re-poll.
### Rule 4: Worker Busy Timeout (>5 min)
- **Detect**: Worker `busySince` exceeds 5 minutes
- **Fix**: SIGKILL worker, send error DM, clean up pending replies
### Rule 5: Process Crash (uncaught)
- **Detect**: `uncaughtException` / `unhandledRejection` fires
- **Fix**: Log → clear poll timer → attempt reconnect with backoff → if reconnect fails 3x, exit(1) and let PM2 restart
### Rule 6: Supervisor Detects Router Stall
- **Detect**: External supervisor (`zulip-watchdog`) polls `/health` every 30s. If 3 consecutive failures:
- **Fix**: `pm2 restart abiba-zulip` gracefully (SIGTERM, drain workers, restart)
---
## Implementation Plan
### Phase 1: Rewrite Router Core (circuit-breaker + queue lifecycle)
Replace the poll loop in index.js with a resilience-first event loop:
```js
// Queue lifecycle (Zulip docs pattern)
async function createOrRefreshQueue() {
// POST /register with event_types=["message"]
// Store: queueId, lastEventId, eventQueueLongpollTimeoutSeconds
// NEW: pass idle_queue_timeout parameter (Zulip 12.0+)
}
// Circuit breaker (Opossum pattern, implemented inline to avoid dependency)
class ZulipCircuitBreaker {
constructor({ failureThreshold=0.5, resetTimeout=30000, volumeThreshold=5, windowMs=10000 }) {
this.state = "CLOSED"; // CLOSED | OPEN | HALF_OPEN
this.failures = 0;
this.successes = 0;
this.totalRequests = 0;
this.lastFailureTime = null;
this.openedAt = null;
this.failureThreshold = failureThreshold;
this.resetTimeout = resetTimeout;
this.volumeThreshold = volumeThreshold;
this.windowMs = windowMs;
}
async fire(fn) {
if (this.state === "OPEN") {
if (Date.now() - this.openedAt > this.resetTimeout) {
this.state = "HALF_OPEN";
} else {
throw new CircuitOpenError("Circuit is OPEN");
}
}
try {
const result = await fn();
this.onSuccess();
return result;
} catch (err) {
this.onFailure();
throw err;
}
}
onSuccess() {
this.successes++;
this.totalRequests++;
if (this.state === "HALF_OPEN") {
this.state = "CLOSED";
this.failures = 0;
}
// Reset counters periodically
if (this.totalRequests > this.volumeThreshold * 2) {
this.failures = Math.floor(this.failures / 2);
this.successes = Math.floor(this.successes / 2);
this.totalRequests = Math.floor(this.totalRequests / 2);
}
}
onFailure() {
this.failures++;
this.totalRequests++;
this.lastFailureTime = Date.now();
if (this.totalRequests >= this.volumeThreshold &&
this.failures / this.totalRequests >= this.failureThreshold) {
if (this.state !== "OPEN") {
this.state = "OPEN";
this.openedAt = Date.now();
console.error(`[zulip-ext] CIRCUIT BREAKER OPEN — ${this.failures}/${this.totalRequests} failures`);
}
}
}
}
// Retry with exponential backoff + jitter (from resilience patterns)
async function withRetry(fn, { maxAttempts=3, baseDelay=200, maxDelay=10000, shouldRetry=()=>true }={}) {
let lastError;
for (let attempt = 1; attempt <= maxAttempts; attempt++) {
try {
return await fn();
} catch (err) {
lastError = err;
if (attempt === maxAttempts || !shouldRetry(err)) throw err;
const delay = Math.min(baseDelay * Math.pow(2, attempt - 1), maxDelay);
const jitter = delay * (0.5 + Math.random() * 0.5); // 50-100% of delay
console.warn(`[zulip-ext] Retry ${attempt}/${maxAttempts} after ${Math.round(jitter)}ms: ${err.message.slice(0,80)}`);
await new Promise(r => setTimeout(r, jitter));
}
}
throw lastError;
}
// Resilience-first event loop (Zulip call_on_each_event pattern)
async function resilientPollLoop() {
while (connected) {
try {
const events = await circuitBreaker.fire(() =>
withRetry(() => zulipQueue.poll(), {
maxAttempts: 2,
baseDelay: 1000,
shouldRetry: (err) => {
const msg = err.message || "";
return msg.includes("fetch failed") || msg.includes("ECONN") || msg.includes("network");
}
})
);
lastError = null;
retryCount = 0;
for (const ev of events) {
await processEvent(ev);
}
heartbeat();
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
if (msg.includes("BAD_EVENT_QUEUE_ID") || msg.includes("deregistered")) {
// Queue expired — re-register (Zulip docs pattern)
console.log(`[zulip-ext] Queue expired, re-registering… (${msg.slice(0,80)})`);
try {
zulipQueue = await createZulipQueue();
console.log(`[zulip-ext] Re-registered, new queue=${zulipQueue.queueId}`);
} catch (reRegErr) {
console.error(`[zulip-ext] Re-registration failed: ${reRegErr.message}`);
connected = false;
retryCount++;
const backoff = Math.min(5000 * Math.pow(2, retryCount), 300000);
console.log(`[zulip-ext] Full reconnect in ${Math.round(backoff/1000)}s`);
await new Promise(r => setTimeout(r, backoff));
await startPolling();
return;
}
} else if (err.name === "CircuitOpenError") {
// Circuit is open — skip this cycle, wait for HALF_OPEN
lastError = "circuit_open";
await new Promise(r => setTimeout(r, POLL_INTERVAL_MS));
} else {
lastError = msg;
retryCount++;
const backoff = Math.min(POLL_INTERVAL_MS * Math.pow(1.5, Math.min(retryCount, 8)), 60000);
console.error(`[zulip-ext] Poll error (retry ${retryCount}, backoff ${backoff}ms): ${msg}`);
await new Promise(r => setTimeout(r, backoff));
}
}
}
}
```
### Phase 2: PM2 Hardening
Create `/root/.pm2/ecosystem.config.cjs`:
```js
module.exports = {
apps: [
{
name: "abiba-zulip",
script: "/bin/pi",
args: "--mode rpc --session-id zulip-service",
env: {
ZULIP_ROLE: "router",
ZULIP_SITE: "https://chat.sysloggh.net",
ZULIP_EMAIL: "abiba-bot@chat.sysloggh.net",
ZULIP_API_KEY: process.env.ZULIP_API_KEY,
AGENT_NAME: "abiba",
AGENT_OWNER_EMAIL: "jerome@sysloggh.com",
},
max_restarts: 100, // Up from default 10 — crash loops won't exhaust
min_uptime: "10s", // Must survive 10s to count as "alive"
max_memory_restart: "500M", // OOM protection
restart_delay: 5000, // 5s between restarts
kill_timeout: 15000, // 15s SIGTERM grace before SIGKILL
listen_timeout: 30000, // 30s to bind health port
log_date_format: "YYYY-MM-DD HH:mm:ss Z",
error_file: "/root/.pm2/logs/abiba-zulip-error.log",
out_file: "/root/.pm2/logs/abiba-zulip-out.log",
merge_logs: true,
autorestart: true,
watch: false,
instances: 1,
exec_mode: "fork",
},
{
name: "zulip-watchdog",
script: "/root/.pi/agent/extensions/zulip/watchdog.js",
max_restarts: 10,
min_uptime: "3s",
restart_delay: 3000,
autorestart: true,
},
],
};
```
### Phase 3: Supervisor Watchdog
Create `/root/.pi/agent/extensions/zulip/watchdog.js`:
```js
// External supervisor — monitors router health and restarts if stalled.
// This is the pattern Hermes uses: an external process that can recover
// the gateway even if the gateway process itself is hung (not just crashed).
const HEALTH_URL = "http://127.0.0.1:9200/health";
const CHECK_INTERVAL_MS = 30_000;
const MAX_FAILURES = 3;
let failures = 0;
async function check() {
try {
const res = await fetch(HEALTH_URL, { signal: AbortSignal.timeout(5000) });
if (res.ok) {
const data = await res.json();
if (data.status === "ok" && data.zulip?.connected) {
if (failures > 0) {
console.log(`[watchdog] Router recovered after ${failures} failures`);
}
failures = 0;
return;
}
}
failures++;
console.warn(`[watchdog] Health check ${failures}/${MAX_FAILURES}: status not ok`);
} catch (err) {
failures++;
console.warn(`[watchdog] Health check ${failures}/${MAX_FAILURES}: ${err.message}`);
}
if (failures >= MAX_FAILURES) {
console.error(`[watchdog] ${MAX_FAILURES} consecutive failures — restarting abiba-zulip`);
const { execSync } = require("child_process");
try {
execSync("pm2 restart abiba-zulip", { timeout: 30000 });
console.log("[watchdog] Restart command sent");
} catch (e) {
console.error(`[watchdog] Restart failed: ${e.message}`);
}
failures = 0;
// Wait for restart to complete before checking again
await new Promise(r => setTimeout(r, 15000));
}
}
console.log("[watchdog] Zulip gateway supervisor started");
setInterval(check, CHECK_INTERVAL_MS);
check(); // Immediate first check
```
### Phase 4: Health Endpoint Enhancement
Add circuit breaker stats to the existing health endpoint:
```js
// In /health response, add:
"circuit_breaker": {
"state": circuitBreaker.state,
"failures": circuitBreaker.failures,
"successes": circuitBreaker.successes,
"total_requests": circuitBreaker.totalRequests,
"failure_rate": circuitBreaker.totalRequests > 0
? (circuitBreaker.failures / circuitBreaker.totalRequests).toFixed(2)
: "0.00"
}
```
---
## Test Plan
### Test 1: Queue Re-registration
1. Manually delete the Zulip event queue via API
2. Next poll should detect BAD_EVENT_QUEUE_ID
3. Router should auto re-register within 1 poll cycle
4. Verify: `/health` shows new queue_id, connected=true
### Test 2: Circuit Breaker Trip
1. Block Zulip server with iptables: `iptables -A OUTPUT -d 192.168.68.19 -j DROP`
2. Router should detect failures, trip circuit after 5 failures
3. `/health` should show circuit_breaker.state = "OPEN"
4. Remove iptables rule
5. Circuit should transition to HALF_OPEN → CLOSED within 60s
6. Verify: messages processed after recovery
### Test 3: Supervisor Recovery
1. Kill the router process: `kill -STOP $(pm2 pid abiba-zulip)` (freeze, don't kill)
2. Watchdog should detect 3 failed health checks in 90s
3. Watchdog should execute `pm2 restart abiba-zulip`
4. Verify: router back online, connected=true
### Test 4: Worker Busy Timeout
1. Send a message that triggers a long-running operation
2. If worker stays busy >5 minutes, should receive SIGKILL
3. User should receive error DM: "Response timed out"
### Test 5: End-to-End Message
1. Send DM "What time is it?" from Jerome
2. Should receive response within 30s
3. `/health` should show messages_processed incremented
---
## Rollback Plan
If v3 causes issues:
1. `pm2 delete abiba-zulip; pm2 delete zulip-watchdog`
2. Restore v2 from git: `cd /root/.pi/agent/extensions/zulip && git checkout index.js`
3. `pm2 resurrect` to reload previous process list
4. Verify: `/health` returns ok
Backup v2 before starting: `cp index.js index.js.v2-backup-$(date +%Y%m%d-%H%M%S)`
---
## Success Metrics
| Metric | Current (v2) | Target (v3) |
|--------|-------------|-------------|
| Uptime between manual interventions | 1-3 days | 30+ days |
| Crash recovery | Manual (PM2 resurrect) | Automatic (circuit breaker + supervisor) |
| Queue expiry handling | Crash | Auto re-register |
| Busy worker deadlock | Router death | Worker SIGKILL + error DM |
| PM2 restart exhaustion | Yes (max_restarts=10) | No (max_restarts=100 + watchdog) |