UPDATE 2026-07-15: Full fleet rebuild
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- Stable role-based aliases: strix-moe, gpu-dense, gpu-light
- Strix Halo: ornith-1.0-35b -> unsloth/Qwen3.6-35B-A3B-MTP (UD-Q4_K_M, 256K)
- RTX 5070: Q4_K_M -> IQ4_NL+MTP (256K, 125-213 tok/s, 2x faster)
- RTX 3090: bumped to 256K context
- Provider rename: harness -> litellm (all agents)
- syslog-auto: weighted pool restored with direct GPU routing
- Mumuni agent profile documented
- Self-heal thresholds updated for 256K context
- All model contexts corrected (RTX 3090 was 131K, not 256K)
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@@ -5,13 +5,12 @@ description: >
Manages the GPU inference fleet across all hosts. Handles model deployment, Manages the GPU inference fleet across all hosts. Handles model deployment,
registration, health checks, LiteLLM sync, agent key management, GPU registration, health checks, LiteLLM sync, agent key management, GPU
saturation watchdog, Prometheus/Grafana monitoring, and self-healing. saturation watchdog, Prometheus/Grafana monitoring, and self-healing.
UPDATED 2026-07-12: Architecture is DIRECT GPU — LiteLLM routes directly UPDATED 2026-07-15: Stable role-based aliases introduced: strix-moe,
to llama-server on each GPU host (no router in inference path). Router gpu-dense, gpu-light. These never change — only the underlying model does.
(port 9000) is running but NOT in request path. All GPUs standardized on Strix Halo: ornith-1.0-35b → unsloth/Qwen3.6-35B-A3B-MTP (UD-Q4_K_M, 22GB).
api-key 'not-needed'. RTX 5070 had api-key mismatch (sk-loc...5678) that RTX 5070: gemma-4-12b Q4_K_M → IQ4_NL + MTP draft (122 tok/s, 2x faster).
caused cascading 401→timeout→401 fallback loops — fixed. RTX 5070 context: 131K → 256K. VRAM: 88% (10.8/12.2GB).
Context: RTX 3090 verified at 256K (was documented as 128K — WRONG). Compression timeout: 300s (was 120s). Mumuni context: 128K (was 256K).
Workload: Compression moved to Strix Halo, RTX 5070 → vision/web only.
agent: abiba agent: abiba
triggers: triggers:
- on model add/remove - on model add/remove
@@ -76,40 +75,64 @@ triggers:
└──────────┘ └──────────┘
``` ```
## 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 | | 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 | | 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%) | 131K | q4_0 | 2 | 2048/1024 | ✅ 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 | | qwen3.6-35B-udq4 | Strix Halo Vulkan | .15 (amdpve) | ~9GB/64GB | 256K | q8_0 | 2 | 2048/512 | ✅ healthy |
## Routing Configuration (LiteLLM — July 2026) ## 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 | | qwen3.6-27B-code | RTX 3090 (.8:8080) | **0.55** | 500 | 90s |
| ornith-1.0-35b | Strix Halo | 0.30 | **60** | Agentic workflows, tool calling | | qwen3.6-35B-udq4 | Strix Halo (.15:8080) | **0.30** | 60 | **300s** |
| gemma-4-12b | RTX 5070 | 0.15 | 200 | Overflow + vision | | gemma-4-12b | RTX 5070 (.110:8080) | **0.15** | 200 | **300s** |
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 ### Direct Model Endpoints
| Model | RPM Cap | Notes | | 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 | | 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 ### Fallback Chains
- gemma → qwen - gemma → qwen
- qwen → gemma - qwen → gemma
- ornith → qwen → gemma - qwen3.6-35B-udq4 → qwen → gemma
- syslog-auto → qwen → gemma → ornith - syslog-auto → qwen → gemma → qwen3.6-35B-udq4
### Why ornith RPM Is Capped ### Why Strix Halo RPM Is Capped
- Direct: 40 RPM (tight) — Strix Halo is shared with compression tasks - 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 - 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 - Combined max: ~100 RPM across both paths — Strix Halo can sustain this at 80°C
@@ -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/scripts/gpu-saturation-watchdog.py` | pi (.24) | Auto-restart stuck llama-server |
| `/root/dashboard/gpu-fleet.html` | pi (.24) | Live HTML dashboard | | `/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/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 ## 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. - **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(). 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. - **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). - **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 1`** (verified 2026-07-12). RTX 5070 and Strix at parallel 2. - **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 1 --flash-attn on --cont-batching`. Service: `/home/llmuser/llama-wrapper.sh`. - **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**: `--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`. - **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 (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`. - **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. - **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). - **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. - **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 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. - **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 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 3090 (.8) | qwen3.6-27B-code (MTP) | **63** | — | | 131K |
| RTX 5070 (.110) | gemma-4-12b | 75 | 323 | 75 | 6 | | RTX 5070 (.110) | gemma-4-12b (IQ4_NL+MTP) | **191** | — | | **256K** |
| Strix Halo (.15) | ornith-1.0-35b | 70 | 532 | 70 | 6 | | 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. Benchmarks run through LiteLLM proxy (192.168.68.116:4001) every 5 minutes.
Degradation alerts fire at 30% (warning) and 50% (critical) below baseline. 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. **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): ### Stable Aliases — CRITICAL
- 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) All agent configs MUST use stable role-based aliases, never model-specific names:
- Agents using `gemma-4-12b` directly (auxiliary tasks): `context_length: 131072` - `compression.model: strix-moe` (NOT `qwen3.6-35B-udq4`)
- Compression threshold at 0.65: fires at ~170K for 262K context window on Strix Halo - `auxiliary.vision.model: gpu-light` (NOT `gemma-4-12b`)
- All Hermes clients MUST set `max_tokens: 4096` — first line of defense before server-side `-n 8192` cap - `delegation.model: gpu-dense` (NOT `qwen3.6-27B-code`)
- Port 8080 is used on all 3 GPU hosts (not 8090 as previously documented) - `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` | 131072 (128K) | Kept at 128K to avoid compression timeout |
| `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.