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Author SHA1 Message Date
Agent Zero b3db21b5e0 Revert "infra-update contract: v1.1.0 — fix CT→VM refs, add missing stacks, correct paths"
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This reverts commit 09ffbf10aa.
2026-07-06 18:46:36 -04:00
Agent Zero 7dd8adf35b Revert "infra-update contract: v1.1.0 - fix CT→VM refs, remove deprecated stacks"
This reverts commit f14b2fc04e.
2026-07-06 18:46:36 -04:00
Agent Zero 22ee074d5b Revert "fix: Firecrawl health endpoint is / not /health"
This reverts commit f1a031b682.
2026-07-06 18:46:36 -04:00
7 changed files with 68 additions and 215 deletions
+4 -4
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@@ -21,7 +21,7 @@ jobs:
steps:
- name: Checkout repository
run: |
git clone --depth=50 "http://192.168.68.17:3000/${{ gitea.repository }}.git" .
git clone --depth=50 "http://git.sysloggh.net/${{ gitea.repository }}.git" .
git fetch origin "${{ gitea.ref }}" --depth=50
git checkout "${{ gitea.sha }}"
@@ -34,7 +34,7 @@ jobs:
steps:
- name: Checkout repository
run: |
git clone --depth=50 "http://192.168.68.17:3000/${{ gitea.repository }}.git" .
git clone --depth=50 "http://git.sysloggh.net/${{ gitea.repository }}.git" .
git fetch origin "${{ gitea.ref }}" --depth=50
git checkout "${{ gitea.sha }}"
@@ -64,7 +64,7 @@ jobs:
steps:
- name: Checkout repository
run: |
git clone --depth=50 "http://192.168.68.17:3000/${{ gitea.repository }}.git" .
git clone --depth=50 "http://git.sysloggh.net/${{ gitea.repository }}.git" .
git fetch origin "${{ gitea.ref }}" --depth=50
git checkout "${{ gitea.sha }}"
@@ -77,7 +77,7 @@ jobs:
steps:
- name: Checkout repository
run: |
git clone --depth=50 "http://192.168.68.17:3000/${{ gitea.repository }}.git" .
git clone --depth=50 "http://git.sysloggh.net/${{ gitea.repository }}.git" .
git fetch origin "${{ gitea.ref }}" --depth=50
git checkout "${{ gitea.sha }}"
+3 -28
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@@ -21,11 +21,9 @@ description: >
- connected == true — Establishes and maintains Zulip event queue
- reconnect_on_failure == true — Reconnects after queue expiry
- recovers_from_network_loss == true — Handles temporary network drops
- stream_subscription_check == true — Bot is subscribed to primary streams (Gen 5+)
*Message Flow*
- dm_response_time_ms < 10000 — DMs get a response within 10 seconds
- dm_response_time_offline_verifiable == true — simulate_dm_latency() passes without live Zulip (Gen 6+)
- stream_mention_detection == true — @mentions in streams are detected and routed
- all_bots_detection == true — @all-bots mentions are detected
- echo_loop_prevention == true — Never replies to its own messages
@@ -40,14 +38,6 @@ description: >
- graceful_disconnect == true — shutdown doesn't crash
- handles_malformed_messages == true — Bad JSON doesn't kill the poll loop
- typing_indicators_work == true — Sends typing notifications
- known_issues_tracked == true — add_known_issue() persists problems across generations (Gen 6+)
## Status
**Active** — for Hermes agents only. This plugin is NOT retired. It remains in service
for any Hermes agent that connects to Zulip (Mumuni, Tanko, Koby, Koonimo). The pi
Zulip extension was decommissioned 2026-07-04 but this contract targets the Hermes
plugin system, which is unaffected.
## Parameters
@@ -100,28 +90,13 @@ Each generation stores:
## Execution
1. **Read state** — Check previous generations from knowledge graph node `build-zulip-plugin:state`
1. **Read state** — Check previous generations from knowledge graph
2. **Generate or improve** — Based on generation count:
- Generation 1: Scaffold full plugin from scratch
- Generation N: Read previous code, apply improvements
3. **Validate** — Syntax check, structure check, dependency check
4. **Run offline tests** — Always run `simulate_dm_latency()` and selftest() if no live Zulip
5. **Log**Save generation result to knowledge graph as [LEARN] node. Update the
`build-zulip-plugin:state` node with current generation_count, plugin_version,
and known_issues.
6. **Report** — Output what was generated, what changed, what needs review
## State Persistence (Gen 6+)
All generation state is stored in a knowledge graph node titled `build-zulip-plugin:state`:
- `generation_count` — incremented on each verified run
- `plugin_version` — current version string
- `last_generation` — ISO timestamp of most recent run
- `known_issues` — array of unresolved issues carried forward
- `last_postcondition_results` — pass/fail map from most recent verification
Agents executing this contract MUST read this node on startup and update it after
validation. If the node does not exist, create it with generation_count=1.
4. **Log** — Save generation result to knowledge graph as [LEARN]
5. **Report**Output what was generated, what changed, what needs review
## Example Output
+17 -42
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@@ -5,9 +5,8 @@ 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.
Current as of 2026-07-08: context reduced to 128K on NVIDIA GPUs, parallel 2
on all GPUs, LiteLLM timeouts tuned (gemma 25→120s, qwen 40→90s), router fully
deprecated — nginx routes /v1 → LiteLLM directly.
Current as of 2026-06-30 post-migration: nginx routes /v1 → LiteLLM,
router runs behind LiteLLM on :9000 (internal-only).
agent: abiba
triggers:
- on model add/remove
@@ -64,21 +63,21 @@ triggers:
│ CT 8 │ │ CT 110 │ │ CT 15 │ │ pi (.24) │
│ RTX 3090 │ │ RTX 5070 │ │ Strix Halo│ │ GPU Monitor │
│ 24GB │ │ 12GB │ │ 64GB UMA │ │ :9100 │
128K ctx │ │ 128K ctx │ │ 256K ctx │ │ Watchdog │
│ │ │ │ llama-srv │ │ Watchdog │
│ qwen3.6 │ │ gemma-4-12b │ │ ornith35B │ │ Prometheus │
│ 27B-code │ │ :8080 │ │ :8080 │ │ exporter │
│ :8080 │ │ :9400 (exp) │ │ :9400(exp)│ │ :9401 │
│ 27B-code │ │ :8090 │ │ :8080 │ │ exporter │
│ :8090 │ │ :9400 (exp) │ │ :9400(exp)│ │ :9401 │
│ :9400 │ └─────────────┘ └───────────┘ └──────────────┘
└──────────┘
```
## Current Model Assignments (2026-07-08)
## Current Model Assignments
| Model | GPU | Host | VRAM | Ctx | KV Cache | Parallel | Batch/Ubatch | Status |
|-------|-----|------|------|-----|----------|----------|-------------|--------|
| qwen3.6-27B-code | RTX 3090 | .8 (llm-gpu) | 20.3/24GB (83%) | 128K | turbo4 | 2 | 512/512 | ✅ healthy |
| gemma-4-12b | RTX 5070 | .110 (ocu-llm) | 9.4/12.2GB (77%) | 128K | q4_0 | 2 | 2048/512 | ✅ healthy |
| ornith-1.0-35b | Strix Halo Vulkan | .15 (amdpve) | 24.4/64GB (35%) | 256K | q8_0 | 2 | 2048/512 | ✅ healthy |
| Model | GPU | Host | VRAM | Status |
|-------|-----|------|------|--------|
| qwen3.6-27B-code | RTX 3090 | .8 (llm-gpu) | 23.4/24GB | ✅ healthy |
| gemma-4-12b | RTX 5070 | .110 (ocu-llm) | 11.2/12.2GB | ✅ healthy |
| ornith-1.0-35b | Strix Halo Vulkan | .15 (amdpve) | 22.7/64GB | ✅ healthy |
## Operations
@@ -122,19 +121,7 @@ triggers:
7. Document keys in knowledge graph
### list
Show full fleet status: GPUs, models, VRAM, context windows, parallel slots, active requests, circuit breakers, keys
### health-check
1. Check GPU hardware: nvidia-smi (.8, .110) + amdgpu sysfs (.15 via /sys/class/drm/card0/device/)
2. Check llama-server processes: `ps aux | grep llama-server` on all 3 hosts
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
- 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
8. Verify agent keys: 9 keys in LiteLLM DB (`GET /key/list`)
Show full fleet status: GPUs, models, VRAM, active requests, circuit breakers, keys
## Agent Keys (LiteLLM DB — Current 2026-06-30)
@@ -181,11 +168,9 @@ If no SSH access, send Zulip DM via abiba-bot.
- **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 (2026-07-08)**: RTX 3090 at 20.3/24GB (83%), RTX 5070 at 9.4/12.2GB (77%), Strix Halo at 24.4/64GB (35%). Context reduced from 256K→128K on NVIDIA GPUs freed ~3.3GB (.8) and ~1.5GB (.110).
- **All GPUs at `--parallel 2` (2026-07-08)**: Fleet serves 6 concurrent requests (was 3). 2× throughput.
- **RTX 3090 config**: `-c 131072 -ctk turbo4 -ctv turbo4 --parallel 2`. No explicit batch flags (512/512 default). 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 512 --parallel 2`. Ubatch fixed 4096→512 (was inverted — ubatch > batch killed prompt throughput). 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`.
- **VRAM**: RTX 3090 at ~9.6/24GB (60% free), RTX 5070 at ~6.5/12GB (46% free). Healthy.
- **RTX 3090 optimization**: `--parallel 2 --batch-size 4096` — doubled concurrent throughput.
- **RTX 5070 optimization**: Removed draft model freed ~2GB VRAM for vision tasks. `--parallel 2`.
- **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.
- **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`.
@@ -200,8 +185,8 @@ If no SSH access, send Zulip DM via abiba-bot.
| GPU | Model | Gen tok/s | Prompt tok/s | Baseline | Samples |
|-----|-------|-----------|--------------|----------|---------|
| RTX 3090 (.8) | qwen3.6-27B-code | 75 | 305 | 74 | 6 |
| RTX 5070 (.110) | gemma-4-12b | 75 | 323 | 75 | 6 |
| RTX 3090 (.8) | gemma-4-12b | 75 | 305 | 74 | 6 |
| RTX 5070 (.110) | qwen3.6-27B-code | 75 | 323 | 75 | 6 |
| Strix Halo (.15) | ornith-1.0-35b | 70 | 532 | 70 | 6 |
Benchmarks run through LiteLLM proxy (192.168.68.116:4001) every 5 minutes.
@@ -209,13 +194,3 @@ Degradation alerts fire at 30% (warning) and 50% (critical) below baseline.
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 (2026-07-08)
With NVIDIA GPUs at 128K context:
- Agents using `syslog-auto` (50/50 qwen+ornith): keep `context_length: 262144` — ornith supports it, Litellm fallbacks handle qwen overflow
- Agents using `qwen3.6-27B-code` directly: set `context_length: 131072` and `max_tokens: 4096` per thermal safety rule
- Agents using `gemma-4-12b` directly (auxiliary tasks): set `context_length: 131072`
- Compression threshold at 0.65: fires at ~170K for syslog-auto (262K ctx), ~85K for direct qwen/gemma (128K ctx)
- 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)
+8 -56
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@@ -1,11 +1,11 @@
---
kind: template
kind: reference
name: hermes-agent-baseline
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 2026-07-05.
author: Abiba (pi agent)
---
@@ -22,12 +22,12 @@ done
## Agent Map
| Agent | CT | Node | IP | LiteLLM Key | LiteLLM Alias | Platform |
|-------|-----|------|-----|-------------|---------------|----------|
| Tanko | 112 | amdpve | .122 | `sk-CggiHWlamQyShxWC3Hx6uw` | `tanko` | Hermes |
| Mumuni | 114 | minipve | .123 | `sk-VrqCNlwUgzoNGOpikJ7nwQ` | `mumuni` | Hermes |
| Tdunna | 111 | amdpve | srv1079750 | `sk-Qvzi4uYQBhlSK_XstEhcyQ` | `tdunna` | **pi** |
| Baggy | 113 | amdpve | ? | `sk-krnw_zGBwvvL5b7l2t-s-A` | `baggy` | Hermes |
| Agent | CT | Node | IP | LiteLLM Key | LiteLLM Alias |
|-------|-----|------|-----|-------------|---------------|
| Tanko | 112 | amdpve | .122 | `sk-CggiHWlamQyShxWC3Hx6uw` | `tanko` |
| Mumuni | 114 | minipve | .123 | `sk-VrqCNlwUgzoNGOpikJ7nwQ` | `mumuni` |
| Tdunna | 111 | amdpve | ? | `sk-6sbCNjz2T6lTVDBdlNHXsA` | `tdunna` |
| Baggy | 113 | amdpve | ? | `sk-krnw_zGBwvvL5b7l2t-s-A` | `baggy` |
Access: `pct-run <CT_ID> <command>` — no IPs needed. GPU hosts (.8, .110, .15) use SSH.
@@ -45,8 +45,6 @@ Agent (systemd) → LITELLM_API_KEY → LiteLLM (:116/v1) → Router (:9000) →
## Config Pattern — Mandatory Fields
### For Hermes Agents (Tanko, Mumuni, Baggy)
Every agent's `/root/.hermes/config.yaml` (or `/home/jerome/.hermes/config.yaml`) MUST have:
### 1. Main Model
@@ -156,51 +154,6 @@ 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 pi Agents (Tdunna)
Tdunna (CT111) runs pi 0.80.3 via PM2 with the Zulip extension (router-worker architecture).
Config files: `~/.pi/agent/models.json`, `~/.pi/agent/settings.json`.
**models.json** — Must only list models authorized for the agent's LiteLLM key:
```json
{
"providers": {
"syslog-harness": {
"baseUrl": "http://192.168.68.116/v1",
"api": "openai-completions",
"apiKey": "sk-...",
"models": [
{ "id": "syslog-auto" },
{ "id": "ornith-1.0-35b" },
{ "id": "qwen3.6-27B-code" },
{ "id": "gemma-4-12b" }
]
}
}
}
```
**settings.json** — Always use `syslog-auto` as default:
```json
{
"defaultProvider": "syslog-harness",
"defaultModel": "syslog-auto"
}
```
**Validation**: Verify models match LiteLLM's authorized list:
```bash
curl -s http://192.168.68.116:4000/v1/models \
-H "Authorization: Bearer $(grep apiKey ~/.pi/agent/models.json | head -1 | cut -d'"' -f4)" \
| jq '.data[].id'
```
**Stuck worker detection**: In PM2 logs, `workers=[<id>:busy:N]` with growing N indicates
a stuck worker (model error, no `agent_end` emitted). Fix: correct models.json, delete
stale sessions from `~/.pi/agent/sessions/zulip/`, restart PM2.
**Service**: `pm2 restart koby-zulip`, health at `:9201/health`.
## Systemd Pattern
For agents where the gateway runs as a user service:
@@ -257,6 +210,5 @@ If they differ → ghost detected → kill ghost → start fresh.
| Date | Change |
|------|--------|
| 2026-07-08 | Tdunna: fixed model mismatch (qwen3.6-35B-A3B→syslog-auto), added pi-specific config section. Key updated to sk-Qvzi4uYQBhlSK_XstEhcyQ. Added Failure Mode #11 to zulip-adapter-lessons. |
| 2026-07-06 | Port conflict detection added to all 3 GPU wrappers. Consolidated health check script deployed. Zulip streaming edit_message enabled for Tanko/Mumuni. |
| 2026-07-05 | Baseline created. All 4 agents audited, master key removed, api_key workaround applied |
+4 -29
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@@ -5,8 +5,7 @@ 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 2026-07-08: GPU context reduced to 128K on NVIDIA (.8, .110),
parallel 2 on all GPUs, LiteLLM timeouts tuned, context_length guidance added.
Updated 2026-06-30: new LiteLLM keys, nginx routing, router back online.
---
## Maintains
@@ -93,8 +92,7 @@ model:
base_url: http://192.168.68.116/v1
api_key_env: LITELLM_API_KEY # Set in /etc/environment AND ~/.hermes/.env
max_tokens: 4096 # ⚠️ CRITICAL: Prevents unbounded generation
context_length: 262144 # For syslog-auto (ornith route supports 256K).
# Set 131072 if using qwen3.6-27B-code or gemma-4-12b directly.
context_length: 262144 # Must match model's max context window
fallback_providers:
provider: deepseek
@@ -125,9 +123,8 @@ compression:
enabled: true
model: gemma-4-12b # ⚠️ Must match auxiliary.compression.model
provider: harness
max_context_window: 262144 # For syslog-auto (ornith supports 256K).
# Set 131072 if using qwen or gemma directly.
threshold: 0.65 # Fires at ~170K for 262K window, ~85K for 128K
max_context_window: 262144 # Must match model's actual capacity
threshold: 0.65 # Fires at ~170K for 262K window (not 0.25!)
target_ratio: 0.30
protect_last_n: 40
hygiene_hard_message_limit: 350
@@ -239,28 +236,6 @@ The following MUST be identical across ALL profiles:
- `max_context_window: 262144` MUST match the model's actual capacity
- See `devops-hermes-compression` skill for full reference
### Rule 9: 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
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)
- Key/model authorization mismatches
- **Exception**: Sub-agent profiles (Mumuni's 6 profiles) may specify explicit models
for specialized tasks, but MUST validate those models exist in the key's authorized list
### Rule 10: Validate Model IDs Before Deployment (pi Agents)
- After configuring a pi agent's `models.json`, verify every model ID:
```bash
curl -s http://192.168.68.116:4000/v1/models \
-H "Authorization: Bearer <AGENT_KEY>" | jq '.data[].id'
```
- All model IDs in `models.json` MUST appear in the LiteLLM response
- The agent's API key may have a SUBSET of the full model catalog — check per-key
- 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)
## Execution
1. **Check current config** — Read the target agent's config.yaml
+32 -36
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@@ -3,7 +3,7 @@ kind: responsibility
name: infrastructure-update
description: >
Autonomous system-wide update contract covering all 5 Proxmox nodes,
15+ containers/VMs, and 4 Docker ecosystems. Updates apt packages,
15+ containers/VMs, and 3 Docker ecosystems. Updates apt packages,
Docker images, and container stacks in safe waves with health checks
and automatic rollback on failure.
agent: abiba
@@ -11,7 +11,7 @@ triggers:
- on "infra update" command
- weekly (Sunday 03:00 EDT) via cron
- on security advisory relay from Mumuni
version: 1.1.0
version: 1.0.0
---
## Maintains
@@ -24,11 +24,11 @@ version: 1.1.0
Before ANY update wave:
1. ✅ All Proxmox nodes online (`GET /api2/json/nodes`)
2. ✅ All critical VMs/CTs running (VM 101 llm-gpu, VM 103 ocu-llm, VM 109 docker-vm, CT 116 syslog-api, CT 117 zulip, CT 106 ra-h-os)
3. ✅ Docker healthy on VM 109 (.7), CT 116 (.116)
2. ✅ All critical CTs running (100, 109, 116, 117, 122, 123)
3. ✅ Docker healthy on .7, .116
4. ✅ LiteLLM health check passing
5. ✅ Zulip server reachable
6. ✅ GPU fleet healthy (all 3 GPUs: RTX 3090, RTX 5070, RX 7600)
6. ✅ GPU fleet healthy (all 3 GPUs)
7. ✅ Disk >20% free on all nodes
8. 📋 Snapshot critical configs (LiteLLM, nginx, docker-compose files)
@@ -38,7 +38,7 @@ Before ANY update wave:
|--------|------|---------|---------|
| storepve (.6) | Proxmox node | `apt update && apt upgrade -y` | 5 min |
| minipve (.12) | Proxmox node | `apt update && apt upgrade -y` | 5 min |
| VM 109 (.7) | Docker host VM | `apt update && apt upgrade -y` | 5 min |
| CT 109 (.7) | Docker host | `apt update && apt upgrade -y` | 5 min |
| CT 106 (.65) | RA-H OS | `apt update && apt upgrade -y` | 3 min |
| CT 117 (zulip, storepve) | Zulip | `apt update && apt upgrade -y` | 3 min |
@@ -55,16 +55,16 @@ Before ANY update wave:
| acerpve (.9) | Proxmox node | `apt update && apt upgrade -y` | 5 min |
| ocupve (.5) | Proxmox node | `apt update && apt upgrade -y` | 5 min |
| CT 100 (.24) | Abiba (pi) | `apt update && apt upgrade -y` | 3 min |
| CT 116 (.116) | syslog-api (LiteLLM host) | `apt update && apt upgrade -y` | 3 min |
| CT 116 (.116) | LiteLLM host | `apt update && apt upgrade -y` | 3 min |
| CT 112 (tanko, amdpve) | Tanko | `apt update && apt upgrade -y` | 3 min |
| CT 114 (mumuni, minipve) | Mumuni | `apt update && apt upgrade -y` | 3 min |
| VM 101 (.8) | llm-gpu (RTX 3090) | `apt update && apt upgrade -y` | 3 min |
| VM 103 (.110) | ocu-llm (RTX 5070) | `apt update && apt upgrade -y` | 3 min |
| CT 101 (.8) | RTX 3090 GPU | `apt update && apt upgrade -y` | 3 min |
| CT 103 (.110) | RTX 5070 GPU | `apt update && apt upgrade -y` | 3 min |
**Verify after Wave 2:**
- All VMs/CTs running: check via Proxmox API
- LiteLLM healthy: `curl localhost:4000/health/liveliness` (via CT 116)
- GPU servers responding: check :8080 on VM 101, VM 103; check ornith via router (http://192.168.68.116/health/unified — .15:8080 is firewalled to .116 only)
- All CTs running: check via Proxmox API
- LiteLLM healthy: `curl :4001/health/liveliness`
- GPU servers responding: check :8080 on .8, .110; check ornith via router (http://192.168.68.116/health/unified — .15:8080 is firewalled to .116 only)
- Zulip agents connected: check Mumuni/Tanko gateway state
- Abiba PM2 processes online: `pm2 status`
@@ -72,20 +72,20 @@ Before ANY update wave:
| Host | Stack | Command |
|------|-------|---------|
| VM 109 (.7) | Firecrawl | `cd /opt/search-stack/firecrawl-source && docker compose pull && docker compose up -d` |
| VM 109 (.7) | SearXNG | `cd /opt/search-stack/searxng && docker compose pull && docker compose up -d` |
| VM 109 (.7) | Home stack (Pulse, Stirling PDF, JDownloader 2) | `cd /opt/home_stack && docker compose pull && docker compose up -d` |
| VM 109 (.7) | Audiobookshelf | `cd /opt/audiobookshelf && docker compose pull && docker compose up -d` |
| CT 116 (.116) | Inference Harness (LiteLLM, Prometheus, Grafana) | `cd /opt/inference-harness && docker compose pull && docker compose up -d` |
| CT 109 (.7) | Firecrawl | `cd /opt/search-stack/firecrawl-source && docker compose pull && docker compose up -d` |
| CT 109 (.7) | SearXNG | `cd /opt/search-stack/searxng && docker compose pull && docker compose up -d` |
| CT 109 (.7) | Home stack | `cd /opt/home_stack && docker compose pull && docker compose up -d` |
| CT 109 (.7) | Audiobookshelf | `cd /opt/audiobookshelf && docker compose pull && docker compose up -d` |
| CT 116 (.116) | Inference Harness | `cd /opt/inference-harness && docker compose pull && docker compose up -d` |
| CT 117 (zulip, storepve) | Zulip | `docker pull zulip/docker-zulip:latest && docker restart zulip-zulip-1` |
**Verify after Wave 3:**
- All containers healthy: `docker ps` on each host
- End-to-end inference test: `curl localhost:4000/v1/chat/completions` (via CT 116) with syslog-auto
- End-to-end inference test: `curl :4001/v1/chat/completions` with syslog-auto
- Zulip test: send test message to #agent-hub
- Dashboard loading: `curl localhost:3001/` (via CT 116)
- Firecrawl test: `curl :3002/`
- SearXNG test: `curl :8888`
- Dashboard loading: `curl :3001/`
- Firecrawl test: `curl :3002/health`
- SearXNG test: `curl storepve:8888`
## Wave 4: Proxmox Kernel Reboot (if needed)
@@ -111,20 +111,16 @@ If ANY verification fails:
Before Wave 1, snapshot these files:
```
/opt/inference-harness/docker-compose.yml (CT 116 .116)
/opt/inference-harness/litellm_config.yaml (CT 116 .116)
/opt/monitoring/prometheus.yml (CT 116 .116)
/etc/nginx/nginx.conf (harness-nginx on CT 116)
/opt/search-stack/firecrawl-source/docker-compose.yaml (VM 109 .7)
/opt/search-stack/searxng/docker-compose.yml (VM 109 .7)
/opt/home_stack/docker-compose.yml (VM 109 .7)
/opt/audiobookshelf/docker-compose.yml (VM 109 .7)
/root/.pi/agent/extensions/config.yaml (CT 100 .24)
/etc/systemd/system/ornith-server.service (amdpve .15)
/etc/systemd/system/llama-server.service (VM 101 .8, VM 103 .110)
/opt/inference-harness/litellm_config.yaml (.116)
/opt/inference-harness/docker-compose.yml (.116)
/etc/nginx/nginx.conf (.116 container)
/opt/search-stack/*/docker-compose.yaml (.7)
/root/.pi/agent/extensions/config.yaml (.24)
/etc/systemd/system/ornith-server.service (.15)
/etc/systemd/system/llama-server.service (.8, .110)
```
Run: `mkdir -p /tmp/infra-update-backup-$(date +%Y%m%d) && rsync -av ...`
Run: `mkdir -p /tmp/infra-update-backup-$(date +%Y%m%d) && scp ...`
## Security-Specific Updates
@@ -138,8 +134,8 @@ Run: `mkdir -p /tmp/infra-update-backup-$(date +%Y%m%d) && rsync -av ...`
## Success Criteria
- [ ] All 5 PVE nodes updated, no reboot-loop
- [ ] All VMs/CTs running post-update
- [ ] All Docker containers healthy (VM 109 + CT 116 + CT 117)
- [ ] All CTs running post-update
- [ ] All 22 Docker containers healthy
- [ ] LiteLLM inference passing (syslog-auto test)
- [ ] Zulip server + all 3 agents connected
- [ ] GPU fleet at full capacity (3/3)
@@ -152,7 +148,7 @@ After completion, send Zulip DM:
```
📋 Infrastructure Update — YYYY-MM-DD
Updated: 5 PVE nodes, 12 CTs/VMs, 30+ containers
Updated: 5 PVE nodes, 12 CTs, 22 containers
Security fixes: N CVEs patched
Downtime: <service> <duration>
Failures: none / <details>
-20
View File
@@ -73,25 +73,6 @@ description: >
- **Fix**: If edit fails, send the response as a new message instead
- **Applies to**: pi extension (fixed), Hermes adapter (verify edit fallback exists)
### 11. Model-ID Mismatch Causes Silent Worker Failure (pi-specific)
- **Symptom**: User sends DM, sees placeholder, but never gets response. Worker stays
"busy" forever, accumulating pending replies (10+). Health endpoint shows green but
`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
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
`workers=[<id>:busy:N]` with growing N in extension logs.
- **Fix**: (1) Update `models.json` to only include models from the authorized list.
(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
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
## Deployment Checklist
When deploying a new Zulip adapter, verify:
@@ -105,4 +86,3 @@ When deploying a new Zulip adapter, verify:
- [ ] `@all-bots` detected via configurable user_id
- [ ] Poll uses long-poll (not `dont_block=true` polling)
- [ ] Stuck/idle detection accounts for quiet periods
- [ ] Model IDs in config validated against `GET /v1/models` with actual API key