UPDATE 2026-07-15: Full GPU fleet rebuild + stable aliases #18
@@ -276,7 +276,7 @@ ZULIP_ROLE=router pm2 start "$(which pi)" --name abiba-zulip \
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**Additional fixes applied:**
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- Fixed `models.json`: replaced `qwen3.6-35B-A3B` (not authorized by LiteLLM)
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with `syslog-auto` + `ornith-1.0-35b` (prevents silent worker failure per
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with `syslog-auto` + `strix-moe` (prevents silent worker failure per
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Lesson #11)
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- Removed stale systemd unit `abiba-zulip.service` (pointed to old TS code)
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- PM2 saved for auto-restart on boot
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@@ -72,10 +72,10 @@ reads them directly.
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|--------|-------|----------|------|----------|
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| `syslog-code` | qwen3.6-27B-code | terminal, file, web, memory, skills | Code patches, automation, scripts | Writing/modifying code, creating scripts, debugging, reading/writing files |
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| `syslog-devops` | qwen3.6-27B-code | terminal, file, web, memory, skills | Infrastructure, DB, bridge, Proxmox | Server ops, SSH, Docker, Proxmox, DB queries, hardware checks |
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| `syslog-email` | ornith-1.0-35b | terminal, file, web, memory, skills | Email automation, mail operations | Sending/receiving email, inbox management, SMTP operations |
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| `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 |
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| `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 |
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| `syslog-writer` | ornith-1.0-35b | terminal, file, web, memory, skills | Docs, content, branding, reports | Writing docs, reports, proposals, content, markdown formatting |
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| `syslog-email` | strix-moe | terminal, file, web, memory, skills | Email automation, mail operations | Sending/receiving email, inbox management, SMTP operations |
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| `syslog-research` | strix-moe | terminal, file, web, memory, skills, **browser** | Analysis, classification, data processing | Web research, browser tasks, data analysis, classification, reading docs |
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| `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 |
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| `syslog-writer` | strix-moe | terminal, file, web, memory, skills | Docs, content, branding, reports | Writing docs, reports, proposals, content, markdown formatting |
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### Selection Rules
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+7
-7
@@ -68,8 +68,8 @@ triggers:
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│ RTX 3090 │ │ RTX 5070 │ │ Strix Halo│ │ GPU Monitor │
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│ 24GB │ │ 12GB │ │ 64GB UMA │ │ :9100 │
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│ 256K ctx │ │ 256K ctx │ │ 256K ctx │ │ Watchdog │
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│ qwen3.6 │ │ gemma-4-12b │ │ ornith35B │ │ Prometheus │
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│ 27B-code │ │ :8080 │ │ :8080 │ │ exporter │
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│ qwen3.6 │ │ gemma-4-12b │ │ qwen3.6 │ │ Prometheus │
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│ 27B-code │ │ :8080 │ │ -35B-udq4 │ │ exporter │
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│ :8080 │ │ :9400 (exp) │ │ :9400(exp)│ │ :9401 │
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│ :9400 │ └─────────────┘ └───────────┘ └──────────────┘
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└──────────┘
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@@ -103,9 +103,9 @@ but are deprecated for agent configs. Only the stable aliases survive model swap
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| Model | GPU | Weight | RPM Cap | Timeout |
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|-------|-----|--------|---------|---------|
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| qwen3.6-27B-code | RTX 3090 (.8:8080) | **0.55** | 500 | 90s |
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| qwen3.6-27B-code | RTX 3090 (.8:8080) | **0.55** | 500 | **300s** |
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| qwen3.6-35B-udq4 | Strix Halo (.15:8080) | **0.30** | 60 | **300s** |
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| gemma-4-12b | RTX 5070 (.110:8080) | **0.15** | 200 | **300s** |
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| gemma-4-12b | RTX 5070 (.110:8080) | **0.15** | 200 | **120s** |
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Note: All syslog-auto entries route directly to GPUs with `api_key: not-needed`. The router (port 9000) is NOT in the inference path.
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@@ -186,7 +186,7 @@ Show full fleet status: GPUs, models, VRAM, context windows, parallel slots, act
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3. Check LiteLLM: `curl http://192.168.68.116/health` (expect "I'm alive!")
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4. Check LiteLLM models: `curl -H "Authorization: Bearer $MASTER_KEY" http://192.168.68.116/v1/models`
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5. Check LiteLLM timeouts: `grep -n 'timeout:' /opt/inference-harness/litellm_config.yaml`
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- gemma-4-12b: 120s, qwen3.6-27B: 90s, ornith-1.0-35b: 120s
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- 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)
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- global request_timeout: 300s, nginx proxy_read_timeout: 600s
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6. Check AMD metrics: `curl http://192.168.68.15:9400/metrics` (Radeon 8060S, util%, VRAM, temp, power)
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7. Check port conflicts: verify only one llama-server on :8080 per host
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@@ -247,7 +247,7 @@ If no SSH access, send Zulip DM via abiba-bot with vault update instructions.
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- **RTX 3090 runs `--parallel 2`** with MTP draft (spec-type draft-mtp, spec-draft-n-max 2).
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- **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`.
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- **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`.
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- **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`.
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- **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.
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- **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.
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- **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).
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- **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`.
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@@ -262,7 +262,7 @@ If no SSH access, send Zulip DM via abiba-bot with vault update instructions.
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| GPU | Model | Gen tok/s | Prompt tok/s | Baseline | Context |
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|-----|-------|-----------|--------------|----------|---------|
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| RTX 3090 (.8) | qwen3.6-27B-code (MTP) | **63** | — | — | 131K |
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| RTX 3090 (.8) | qwen3.6-27B-code (MTP) | **63** | — | — | **256K** |
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| RTX 5070 (.110) | gemma-4-12b (IQ4_NL+MTP) | **191** | — | — | **256K** |
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| Strix Halo (.15) | qwen3.6-35B-udq4 | **71** | — | — | **256K** |
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@@ -120,7 +120,7 @@ depends_on:
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- **Detect**: Benchmark tok/s vs baseline for each GPU at current context
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- RTX 3090 (256K ctx, qwen3.6-27B-code): target 75+ tok/s — currently at baseline
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- RTX 5070 (131K ctx, gemma-4-12b): target 76+ tok/s — optimal for vision/web role
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- Strix Halo (256K ctx, ornith-1.0-35b): target 70+ tok/s — currently above baseline
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- Strix Halo (256K ctx, strix-moe / qwen3.6-35B-udq4): target 70+ tok/s — currently above baseline
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- **Fix**:
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- If tok/s > baseline → context has headroom, consider increasing
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- If tok/s < 90% baseline → reduce context by 25% and retest
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@@ -192,7 +192,7 @@ Key is injected via `infisical run --` wrapper at PM2 startup:
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"apiKey": "${LITELLM_API_KEY}",
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"models": [
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{ "id": "syslog-auto" },
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{ "id": "ornith-1.0-35b" },
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{ "id": "strix-moe" },
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{ "id": "qwen3.6-27B-code" },
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{ "id": "gemma-4-12b" }
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]
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+10
-10
@@ -42,8 +42,8 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
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**What changed (v3.2.0 → v4.0.0 — 2026-07-08)**:
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- Router REMOVED from request path — LiteLLM proxies directly to GPU
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- All GPUs at parallel 2 (was parallel 1)
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- NVIDIA context reduced 256K→128K to free VRAM
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- LiteLLM timeouts tuned: gemma 25→120s, qwen 40→90s
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- NVIDIA context reduced 256K→128K to free VRAM (SUPERSEDED 2026-07-16: all GPUs back to 256K — see litellm-self-heal)
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- LiteLLM timeouts tuned: gemma 25→120s, qwen 40→90s (SUPERSEDED 2026-07-16: qwen 300s, gemma 120s, strix 300s — see litellm-self-heal)
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- nginx proxy_read_timeout: 600s, LiteLLM request_timeout: 300s
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## Parameters
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@@ -72,18 +72,18 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
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| Host | IP | Hardware | Models Served | Engine | Context | Parallel |
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|------|-----|----------|---------------|--------|---------|----------|
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| llm-gpu | 192.168.68.8 | NVIDIA RTX 3090 (24 GB) | qwen3.6-27B-code | llama-server systemd | 128K | 2 |
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| ocu-llm | 192.168.68.110 | NVIDIA RTX 5070 (12 GB) | gemma-4-12b | llama-server systemd | 128K | 2 |
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| amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | ornith-1.0-35b | llama-server systemd (Vulkan) | 256K | 2 |
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| llm-gpu | 192.168.68.8 | NVIDIA RTX 3090 (24 GB) | qwen3.6-27B-code | llama-server systemd | **256K** | 2 |
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| ocu-llm | 192.168.68.110 | NVIDIA RTX 5070 (12 GB) | gemma-4-12b | llama-server systemd | **256K** | 2 |
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| amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | qwen3.6-35B-udq4 (LiteLLM alias: strix-moe) | llama-server systemd (Vulkan) | 256K | 2 |
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## Model Fallback Chains (LiteLLM)
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| Primary | Timeout | Fallback | Timeout |
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|---------|---------|----------|---------|
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| qwen3.6-27B-code | 90s | gemma-4-12b | 120s |
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| gemma-4-12b | 120s | qwen3.6-27B-code | 90s |
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| ornith-1.0-35b | 120s | qwen → gemma | — |
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| syslog-auto (balanced) | 90s | qwen → gemma | — |
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| qwen3.6-27B-code | 300s | gemma-4-12b | 120s |
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| gemma-4-12b | 120s | qwen3.6-27B-code | 300s |
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| qwen3.6-35B-udq4 / strix-moe | 300s | qwen → gemma | — |
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| syslog-auto (balanced) | 300s | qwen → gemma | — |
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> Global: request_timeout=300s, nginx proxy_read_timeout=600s
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@@ -129,7 +129,7 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
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7. **Check model inference via LiteLLM** — Test each model:
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- POST /v1/chat/completions model=gemma-4-12b → expect 200
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- POST /v1/chat/completions model=qwen3.6-27B-code → expect 200
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- POST /v1/chat/completions model=ornith-1.0-35b → expect 200
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- POST /v1/chat/completions model=strix-moe → expect 200
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- Use master key for auth
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8. **Check agent keys**:
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@@ -6,6 +6,7 @@ note: >
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DEPLOYED 2026-07-12 on CT 116 cron: 0 */6 * * *
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Auto-remediation code was removed from the pi Zulip extension (retired 2026-07-04),
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now reimplemented as `litellm-health-check.sh` on CT 116.
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Script: `/opt/inference-harness/scripts/litellm-health-check.sh` on CT 116 (cron `0 */6 * * *`).
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Reports to /var/log/litellm/health-*.json and RA-H OS knowledge graph.
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GPU monitoring integrated from gpu-monitor on .24:9100.
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@@ -56,18 +57,28 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
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| Host | IP | Hardware | Models Served | Engine | Context | Parallel |
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|------|-----|----------|---------------|--------|---------|----------|
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| llm-gpu | 192.168.68.8 | NVIDIA RTX 3090 (24 GB) | qwen3.6-27B-code | llama-server systemd | **256K** | 1 |
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| ocu-llm | 192.168.68.110 | NVIDIA RTX 5070 (12 GB) | gemma-4-12b | llama-server systemd | 131K | 2 |
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| amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | ornith-1.0-35b | llama-server systemd (Vulkan) | 256K | 2 |
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| 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 |
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| 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 |
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| amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | qwen3.6-35B-udq4 (LiteLLM alias: `strix-moe`) | llama-server systemd (Vulkan) | 256K | 2 |
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> 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.
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## LiteLLM Model Surface (ground truth — `/opt/inference-harness/litellm_config.yaml` on CT 116)
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`model_name`s served: `qwen3.6-27B-code`, `gemma-4-12b`, `qwen3.6-35B-udq4`, `strix-moe`, `gpu-dense`, `gpu-light`, `syslog-auto`.
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- `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).
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- `gpu-dense` / `gpu-light` are high-rpm aliases (rpm 500) onto qwen3.6-27B-code / gemma-4-12b respectively.
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- Key scoping: agent keys are restricted to `['syslog-auto','qwen3.6-27B-code','gemma-4-12b','strix-moe','gpu-dense','gpu-light']`. Note `qwen3.6-35B-udq4` is NOT in the agent-key allowlist — agents must use `strix-moe` to reach the AMD model.
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## Model Fallback Chains (LiteLLM)
|
||||
|
||||
| Primary | Timeout | Fallback | Timeout |
|
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|---------|---------|----------|---------|
|
||||
| qwen3.6-27B-code | 90s | gemma-4-12b | 120s |
|
||||
| gemma-4-12b | 120s | qwen3.6-27B-code | 90s |
|
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| ornith-1.0-35b | 120s | qwen → gemma | — |
|
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| syslog-auto (balanced) | 90s | qwen → gemma | — |
|
||||
| qwen3.6-27B-code | 300s | gemma-4-12b | 120s |
|
||||
| gemma-4-12b | 120s | qwen3.6-27B-code | 300s |
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| qwen3.6-35B-udq4 / strix-moe | 300s | qwen → gemma | — |
|
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| syslog-auto (balanced) | 300s | qwen → gemma | — |
|
||||
|
||||
> Global: request_timeout=300s, nginx proxy_read_timeout=600s
|
||||
|
||||
@@ -128,7 +139,7 @@ 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
|
||||
|
||||
@@ -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 |
|
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| `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 |
|
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| `syslog-writer` | ornith-1.0-35b | terminal, file, web, memory, skills | Docs, content, branding, reports | Writing docs, reports, proposals, content, markdown formatting |
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| `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
|
||||
|
||||
|
||||
@@ -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
|
||||
|
||||
|
||||
Reference in New Issue
Block a user