Merge pull request 'UPDATE 2026-07-15: Full GPU fleet rebuild + stable aliases' (#18) from feat/gpu-fleet-rebuild-20260715 into master

Reviewed-on: SyslogSolution/prose-contracts#18
This commit is contained in:
2026-07-16 21:17:12 +00:00
13 changed files with 1136 additions and 107 deletions
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@@ -0,0 +1,309 @@
---
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.
+4 -4
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@@ -72,10 +72,10 @@ reads them directly.
|--------|-------|----------|------|----------|
| `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` | ornith-1.0-35b | terminal, file, web, memory, skills | Email automation, mail operations | Sending/receiving email, inbox management, SMTP operations |
| `syslog-research` | ornith-1.0-35b | terminal, file, web, memory, skills, **browser** | Analysis, classification, data processing | Web research, browser tasks, data analysis, classification, reading docs |
| `syslog-review` | ornith-1.0-35b | 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` | ornith-1.0-35b | terminal, file, web, memory, skills | Docs, content, branding, reports | Writing docs, reports, proposals, content, markdown formatting |
| `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
+115 -46
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@@ -5,13 +5,12 @@ 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: ornith-1.0-35b → 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).
RTX 5070 context: 131K → 256K. VRAM: 88% (10.8/12.2GB).
Compression timeout: 300s (was 120s). Mumuni context: 128K (was 256K).
agent: abiba
triggers:
- on model add/remove
@@ -68,48 +67,72 @@ 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 │
│ 256K ctx │ │ 256K ctx │ │ 256K 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 | 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 (2026-07-15)
| 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 (MTP) | RTX 3090 | .8 (llm-gpu) | 22.2/24.6GB (90%) | **256K** 🚀 | turbo4 | 2 | default | ✅ 63 tok/s |
| gemma-4-12b | RTX 5070 | .110 (ocu-llm) | 10.0/12.2GB (82%) | 256K | q4_0 | 2 | 2048/1024 | ✅ healthy |
| qwen3.6-35B-udq4 | Strix Halo Vulkan | .15 (amdpve) | ~9GB/64GB | 256K | q8_0 | 2 | 2048/512 | ✅ healthy |
## 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** |
| qwen3.6-35B-udq4 | 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 |
| qwen3.6-35B-udq4 | 40 | Tight cap — prevents Strix overload |
| qwen3.6-27B-code | 500 | High cap — primary workhorse |
| gemma-4-12b | 500 | High cap — fast 12B |
| gemma-4-12b | 500 | High cap — IQ4_NL+MTP, 122 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 | Heavy reasoning |
| `gpu-light` | 500 | RTX 5070 | Vision, web extract, light tasks |
### Fallback Chains
- gemma → qwen
- qwen → gemma
- ornith → qwen → gemma
- syslog-auto → qwen → gemma → ornith
- qwen3.6-35B-udq4 → 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 (qwen3.6-35B-udq4): 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 +186,7 @@ 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 (ornith-1.0-35b 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 +226,7 @@ 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 +243,14 @@ 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 22.2/24.6GB (90%) with **256K context** (corrected from 131K). RTX 5070 at 10.8/12.2GB (88%) with 256K context + MTP. Strix Halo at ~9GB/64GB.
- **RTX 3090 runs `--parallel 2`** with MTP draft (spec-type draft-mtp, spec-draft-n-max 2).
- **RTX 3090 config**: `-c 262144 -ctk turbo4 -ctv turbo4 --parallel 2 --flash-attn on --cont-batching --spec-type draft-mtp`. Context corrected to 256K (2026-07-15). VRAM: 90%. Service: `/home/llmuser/llama-wrapper.sh`.
- **RTX 5070 config (2026-07-15)**: Switched to IQ4_NL + MTP draft (Q8_0) at 256K context. Gen speed: 122 tok/s (was 70). VRAM: 10.8/12.2GB (88%). No draft model pre-upgrade due to VRAM constraints. Service: `/home/llmuser/llama-wrapper.sh`. Config: `--model gemma-4-12b-it-IQ4_NL.gguf --spec-draft-model gemma-4-12b-it-Q8_0-MTP.gguf --spec-type draft-mtp --spec-draft-n-max 4 --ctx-size 262144`.
- **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 (was `ornith-server.service`), model changed to `unsloth/Qwen3.6-35B-A3B-MTP-GGUF` (UD-Q4_K_M), alias `qwen3.6-35B-udq4`, 256K context, flash-attn + q8 KV. MTP support enabled for 1.4-2.2x faster inference.
- **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 +260,14 @@ 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) | qwen3.6-27B-code (MTP) | **63** | — | | **256K** |
| RTX 5070 (.110) | gemma-4-12b (IQ4_NL+MTP) | **191** | — | | **256K** |
| Strix Halo (.15) | qwen3.6-35B-udq4 | **71** | — | | **256K** |
Benchmarks from 2026-07-15 verification run. RTX 5070 MTP provides 2.7x speedup over pre-upgrade 70 tok/s.
All 3 GPUs now at 256K context (2026-07-15).
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 +275,55 @@ 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: **256K** (was 131K, bumped 2026-07-15) | RTX 5070: **256K** (up from 131K) | Strix Halo: **256K**
- **Mumuni compression context**: 128K (down from 256K) — ensures compression model doesn't timeout
- Compression threshold 0.65: fires at ~85K for 128K context window
- 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` | 262144 (256K) | Fixed 2026-07-16 (was 131072 — caused premature compression, WAL #1300) |
| `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 | ornith 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.
+1 -1
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@@ -120,7 +120,7 @@ depends_on:
- **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
- Strix Halo (256K ctx, strix-moe / qwen3.6-35B-udq4): target 70+ tok/s — currently above baseline
- **Fix**:
- If tok/s > baseline → context has headroom, consider increasing
- If tok/s < 90% baseline → reduce context by 25% and retest
+1 -1
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@@ -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" }
]
+96 -28
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@@ -5,10 +5,12 @@ 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 2026-07-16: Compression model is the stable alias `strix-moe` (NOT `ornith-1.0-35b`,
which LiteLLM does not serve). All 3 GPUs verified 256K (RTX 5070 bumped 131K→256K on Jul 15).
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. RTX 3090 context
verified at 256K. Infisical .env fallback required (Rule 3/13).
---
## Maintains
@@ -31,7 +33,7 @@ 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 | — |
@@ -94,7 +96,7 @@ 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
@@ -129,10 +131,9 @@ mcp_servers:
# ─── Compression ───
compression:
enabled: true
model: ornith-1.0-35b # ⚠️ Must match auxiliary.compression.model
model: strix-moe # ⚠️ Must match auxiliary.compression.model. Stable alias (gpu-fleet § Stable Role-Based Aliases). NOT ornith-1.0-35b (LiteLLM does not serve that name).
provider: harness
max_context_window: 262144 # For Strix Halo compression (256K ctx).
# Set 131072 if using gemma directly.
max_context_window: 262144 # MUST match actual GPU capacity. All 3 GPUs are 256K (Jul 15).
threshold: 0.65 # Fires at ~170K for 262K window, ~85K for 128K
target_ratio: 0.30
protect_last_n: 40
@@ -142,37 +143,48 @@ 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.
# gpu-light = RTX 5070 (12B), freeing the Strix Halo for agent reasoning.
# 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
base_url: http://192.168.68.116/v1
model: strix-moe # MUST match compression.model above. Stable alias for Strix Halo.
base_url: http://192.168.68.116/v1 # Rule 5: /v1 NOT /litellm/v1
api_key_env: LITELLM_API_KEY
timeout: 60
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
# ─── 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
@@ -236,27 +248,29 @@ 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)
### Rule 7: Auxiliary Model Consistency (UPDATED 2026-07-16)
- 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)
- Compression uses `strix-moe` (stable alias for Strix Halo — 64GB, 256K ctx, compression-optimized)
- **`strix-moe` is the only valid compression model name** — LiteLLM does NOT serve `ornith-1.0-35b`
(it serves `strix-moe`, `qwen3.6-35B-udq4`, `gpu-dense`, `gpu-light`, `syslog-auto`, `gemma-4-12b`, `qwen3.6-27B-code`). Old configs with `ornith-1.0-35b` cause 403/model-not-found on compression calls.
- 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
- **Compression on Strix Halo**: The strix-moe alias routes to Strix Halo
(64GB UMA, 256K context) — the designated compression GPU. This frees the
RTX 5070 for vision and web search, and the RTX 3090 for heavy reasoning.
- The `compression:` block's `model` MUST match `auxiliary: compression: model`
- The `compression: max_context_window: 262144` MUST match Strix Halo's actual capacity
### Rule 8: GPU Workload Distribution (July 2026)
### Rule 8: GPU Workload Distribution (UPDATED 2026-07-16)
- **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
- **RTX 5070 (12GB, 256K ctx, gemma-4-12b)**: Vision, web search, quick tasks, web_extract (bumped 131K→256K Jul 15; IQ4_NL+MTP, 88% VRAM)
- **Strix Halo (64GB, 256K ctx, strix-moe)**: Context compression, summarization, long docs
- 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.compression.model: strix-moe` (Strix Halo)
- Default model (`model.default`) and custom_provider remain `syslog-auto` for auto-routing
- For 262K context window: `threshold: 0.65` (fires at ~170K tokens)
- Do NOT use `threshold: 0.25` — this fires at 65K, causing premature context loss
@@ -274,7 +288,7 @@ The following MUST be identical across ALL profiles:
### 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 +307,60 @@ 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 `262144` (all GPUs are 256K). A value of `131072` causes premature compression at
~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
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@@ -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:
+151 -3
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@@ -14,9 +14,15 @@ 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).
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: 2026-07-16.
---
## Parameters
@@ -51,8 +57,8 @@ 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 +73,145 @@ 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, 2026-07-16)
The non-fail approach to agentic vault access. Deployed on 4/5 agents (tanko pending —
runs as user `jerome`, not systemd root, needs user-scope adaptation).
### The canonical pattern
1. **infisical CLI** installed on the host (`/usr/local/bin/infisical` or `/usr/bin/infisical`).
2. **Service token** (Infisical Machine Identity, `st.…`) stored root-only at `/root/.infisical-token` (`chmod 600`).
- Interim: the shared `abiba` service token (`st.8e848433…`) has READ+WRITE on the `agents` project.
- Proper: one machine identity per agent (create in Infisical UI → Project Settings → Machine Identities).
3. **`infisical-gateway.sh` wrapper** at `/root/.hermes/infisical-gateway.sh` (`chmod 700`):
```bash
#!/bin/bash
export INFISICAL_API_URL="https://vault.sysloggh.net"
TOKEN=$(cat /root/.infisical-token)
LOG=/root/.hermes/logs/gateway.log; mkdir -p /root/.hermes/logs
while true; do
infisical run --token="$TOKEN" --projectId=322fceab-39da-4854-a55a-568e76c0f13f \
--env=prod --domain=https://vault.sysloggh.net -- bash -c '
. /root/.hermes/.env 2>/dev/null # [FALLBACK Rule 3] safety net only
export LITELLM_API_KEY="$<AGENT>_LITELLM_API_KEY"
exec <HERMES_VENV>/bin/python -m hermes_cli.main gateway run
' >> $LOG 2>&1
sleep 5 # restart on exit
done
```
4. **Agent key in vault** as `<AGENT>_LITELLM_API_KEY` (e.g. `KOBY_LITELLM_API_KEY`). Vault = source of truth.
5. **`.env` fallback** at `/root/.hermes/.env` (`chmod 600`) with the same key — safety net ONLY for vault outage (Rule 3/13). Must be kept in sync on rotation.
6. **systemd service** `hermes-gateway.service` with `ExecStart=/root/.hermes/infisical-gateway.sh`. NO `litellm-key.conf` drop-in (those hardcode keys and rot).
7. **NEVER hardcode** LiteLLM keys in systemd drop-ins, config.yaml, or /etc/environment. The wrapper injects live from vault.
### Why this is non-fail
- **No rot**: keys pulled live from vault at every gateway start. Rotation = one `infisical secrets set` + `systemctl restart`. No per-host file edits.
- **Survives vault outage**: the `.env` fallback (Rule 3) keeps the gateway running if Infisical is unreachable.
- **Survives gateway crash**: the wrapper's `while true` + systemd `Restart=on-failure` revive the gateway.
- **Auditable**: `cat /proc/$(pgrep hermes_cli)/environ` shows the live key; `infisical secrets` shows the vault source.
### Migration status (2026-07-16)
| Agent | Host | Pattern | Vault key | Status |
|-------|------|---------|-----------|--------|
| abiba | .24 | `infisical run` (pi agent wrapper, service token) | ABIBA_LITELLM_API_KEY | ✅ vault-backed |
| mumuni | .123 | infisical-gateway.sh + user-login machine identity | MUMUNI_LITELLM_API_KEY | ✅ vault-backed |
| koby | .129 | infisical-gateway.sh + service token (migrated 2026-07-16) | KOBY_LITELLM_API_KEY | ✅ vault-backed, Zulip (tanko-bot@) + Telegram |
| koonimo | .114 | infisical-gateway.sh + service token (migrated 2026-07-16) | KOONIMO_LITELLM_API_KEY | ✅ vault-backed |
> **Baggy = Koonimo (CT 113).** Deleted `BAGGY_LITELLM_API_KEY` from vault 2026-07-16. Only `KOONIMO_LITELLM_API_KEY` exists — one secret per agent.
| tanko | .122 | **hardcoded in config.yaml** (runs as user jerome, not systemd) | TANKO_LITELLM_API_KEY | ⚠️ TODO: migrate to user-scope wrapper |
### Tanko migration (pending)
Tanko runs the gateway as user `jerome` (not root/systemd), with the key hardcoded in
`/home/jerome/.hermes/config.yaml` (`api_key: sk-CggiHWlamQy…`, valid but not vault-sourced).
Migration: create a user-scope systemd service (`~/.config/systemd/user/hermes-gateway.service`)
with `infisical-gateway.sh` wrapper in jerome's home, token at `~/.infisical-token`, lingering
enabled (`loginctl enable-linger jerome`) so the user service runs without a login session.
### Koby migration lessons (2026-07-16)
Migrated Koby from hardcoded systemd drop-in → `infisical-gateway.sh` wrapper.
**Two mistakes I made that broke the agent:**
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.
**How Koby actually connects (2026-07-16):**
- Zulip: shares **Tanko's bot** (`tanko-bot@chat.sysloggh.net`, `TANKO_ZULIP_API_KEY=5PeD6f3zo…`).
Koby doesn't have its own Zulip bot (koby-bot@ doesn't exist in the swarm config).
- Telegram: token `828640…` recovered from `.env.bak-20260603` (18KB backup from June 2026).
Allowed users: 6679773481. Home channel: 6679773481.
- Both platforms now connect through the wrapper's env injection.
**Golden rule for gateway restarts:** always `cat /proc/<pid>/environ` before killing the old
process — captures the live env set. Especially important when migrating gateways between
injection mechanisms.
### 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=$TOKEN --projectId=322fceab… --env=prod --domain=https://vault.sysloggh.net`.
3. Update `.env` fallback: `echo '<AGENT>_LITELLM_API_KEY=sk-NEW' > /root/.hermes/.env && chmod 600 /root/.hermes/.env`.
4. Restart: `systemctl restart hermes-gateway`. The wrapper pulls the new key live.
5. Verify: `curl -H "Authorization: Bearer sk-NEW" http://192.168.68.116/v1/models` → 200.
## Machine Identity for Vault Writes (ADDED 2026-07-16, WAL #1300)
**Problem:** The infisical CLI on agent hosts is logged in as a user session (jerome@sysloggh.com).
In CLI v0.38.0, `infisical secrets set` / `infisical export` fail with "project id missing" / "workspace
key 404" — a known bug where user-session auth works for `run` but NOT for `secrets set`. The apt
repo only ships 0.38.0, so `apt upgrade` does not help.
**Proper fix — Machine Identity (Infisical automation best practice):**
Create a machine identity with READ+WRITE scope on the `agents` project (project_id=
`322fceab-39da-4854-a55a-568e76c0f13f`, env `prod`). Store client_id + client_secret securely.
Then vault writes work from any host:
```bash
# Get a machine-identity access token
TOKEN=$(curl -fsSL -X POST https://vault.sysloggh.net/api/v1/auth/universal-auth/login \
-H 'Content-Type: application/json' \
-d '{"clientId":"<CLIENT_ID>","clientSecret":"<CLIENT_SECRET>"}' | jq -r .accessToken)
# Write a secret via REST API v3
curl -fsSL -X PATCH https://vault.sysloggh.net/api/v3/secrets/MUMUNI_LITELLM_API_KEY \
-H "Authorization: Bearer $TOKEN" -H 'Content-Type: application/json' \
-d '{"environment":"prod","secretValue":"sk-<NEW_KEY>","workspaceId":"<WORKSPACE_ID>","type":"shared"}'
# OR via CLI: infisical secrets set --token=$TOKEN --projectId=322fceab... --env=prod ...
```
Creation requires the Infisical web UI (https://vault.sysloggh.net) under Project Settings →
Machine Identities, or an admin API call. **TODO: create `abiba-automation` machine identity
and store its credentials in the vault itself (or a root-only file).**
**Interim (working now):** the `.env` fallback (hermes-config-template Rule 3/13). The
infisical-gateway.sh wrapper sources `~/.hermes/.env`, so its `<AGENT>_LITELLM_API_KEY`
overrides a stale vault value.
**2026-07-16 UPDATE — vault is now SYNCED.** The abiba service token (`st.8e848433…`, READ+WRITE)
can write to the vault, so the session-13 rotated keys (mumuni `sk-OzuWsoX2…`, koby `sk-BqRRMboTI…`,
koonimo `sk-OEK7z26n6E…`) are now in the vault as `MUMUNI_LITELLM_API_KEY` / `KOBY_LITELLM_API_KEY` /
`KOONIMO_LITELLM_API_KEY` and validate 200 against LiteLLM. The vault is the source of truth again.
Creating a dedicated `abiba-automation` machine identity (via UI) is still the proper long-term fix
so the shared service token isn't reused across hosts — but it is no longer blocking.
## Key Rotation Log
| Date | Agent | Action | Notes |
|------|-------|--------|-------|
| 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
+4 -4
View File
@@ -92,10 +92,10 @@ raw data never provided.
|--------|-------|----------|------|----------|
| `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` | ornith-1.0-35b | terminal, file, web, memory, skills | Email automation, mail operations | Sending/receiving email, inbox management, SMTP operations |
| `syslog-research` | ornith-1.0-35b | terminal, file, web, memory, skills, **browser** | Analysis, classification, data processing | Web research, browser tasks, data analysis, classification, reading docs |
| `syslog-review` | ornith-1.0-35b | 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` | ornith-1.0-35b | terminal, file, web, memory, skills | Docs, content, branding, reports | Writing docs, reports, proposals, content, markdown formatting |
| `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
+2 -2
View File
@@ -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
+411
View File
@@ -0,0 +1,411 @@
---
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) |