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+45
-29
@@ -9,8 +9,12 @@ description: >
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gpu-dense, gpu-light. These never change — only the underlying model does.
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Strix Halo: strix-moe → unsloth/Qwen3.6-35B-A3B-MTP (UD-Q4_K_M, 22GB).
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RTX 5070: gemma-4-12b Q4_K_M → IQ4_NL + MTP draft (122 tok/s, 2x faster).
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RTX 5070 context: 131K → 256K. VRAM: 88% (10.8/12.2GB).
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Compression timeout: 300s (was 120s). Mumuni context: 128K (was 256K).
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UPDATED 2026-07-17: Strix Halo model swapped to Genesis Hermes V3 APEX (LuffyTheFox, 24GB, uncensored,
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Hermes agent fine-tune, tensor repair, multimodal with mmproj).
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RTX 5070 swapped to HauhauCS Gemma4-12B QAT Uncensored Balanced (Q4_K_M, 87 tok/s, 0/465 refusals).
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Instability observed near 100K at 256K. 128K is the stable ceiling.
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For larger context needs → fall back to external providers (deepseek).
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VRAM headroom improved: RTX 3090 ~70%, RTX 5070 ~65%.
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agent: abiba
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triggers:
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- on model add/remove
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@@ -67,7 +71,7 @@ triggers:
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│ CT 8 │ │ CT 110 │ │ CT 15 │ │ pi (.24) │
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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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│ 128K ctx │ │ 128K ctx │ │ 128K ctx │ │ Watchdog │
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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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@@ -83,19 +87,31 @@ When a model is swapped on a GPU, ONLY the infrastructure layer changes — agen
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| Alias | GPU | Current Model | Will Route To |
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|-------|-----|---------------|---------------|
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| `strix-moe` | Strix Halo (.15) | qwen3.6-35B-udq4 | Whatever runs on Strix Halo |
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| `gpu-dense` | RTX 3090 (.8) | qwen3.6-27B-code | Whatever runs on RTX 3090 |
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| `gpu-dense` | RTX 3090 (.8) | qwen3.6-27B-code (ThinkingCap) | Whatever runs on RTX 3090 |
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| `gpu-light` | RTX 5070 (.110) | gemma-4-12b | Whatever runs on RTX 5070 |
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**Backward compatibility**: Old model-specific names (qwen3.6-27B-code, gemma-4-12b, qwen3.6-35B-udq4) still work
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but are deprecated for agent configs. Only the stable aliases survive model swaps.
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## Current Model Assignments (2026-07-15)
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## Current Model Assignments (2026-07-17)
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| Model | GPU | Host | VRAM | Ctx | KV Cache | Parallel | Batch/Ubatch | Status |
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|-------|-----|------|------|-----|----------|----------|-------------|--------|
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| qwen3.6-27B-code (MTP) | RTX 3090 | .8 (llm-gpu) | 22.2/24.6GB (90%) | **256K** 🚀 | turbo4 | 2 | default | ✅ 63 tok/s |
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| gemma-4-12b | RTX 5070 | .110 (ocu-llm) | 10.0/12.2GB (82%) | 256K | q4_0 | 2 | 2048/1024 | ✅ healthy |
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| qwen3.6-35B-udq4 | Strix Halo Vulkan | .15 (amdpve) | ~9GB/64GB | 256K | q8_0 | 2 | 2048/512 | ✅ healthy |
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| qwen3.6-27B-code (ThinkingCap) | RTX 3090 | .8 (llm-gpu) | ~20.9/24.6GB (85%) | **128K** | turbo4 | 1 | default | ✅ 68 tok/s |
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| gemma-4-12b (HauhauCS QAT) | RTX 5070 | .110 (ocu-llm) | ~10.0/12.2GB (82%) | 128K | q4_0 | 1 | 2048/1024 | ✅ 87 tok/s |
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| Genesis Hermes V3 APEX | Strix Halo Vulkan | .15 (amdpve) | ~10GB/64GB | 128K | q4_0 | 1 | 4096/1024 | ✅ 65 tok/s |
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> **RTX 5070 model swap (2026-07-17)**: Switched from `gemma-4-12b-it-IQ4_NL` (Unsloth, 191 tok/s)
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> to `HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced` (Q4_K_M QAT, 87 tok/s).
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> Trade: 54% slower generation for QAT quality, 0/465 refusals, and agent-optimized tuning.
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> MTP draft also swapped: Q8_0 (444MB) → tuned draft (242MB), saving 200MB VRAM.
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> Role unchanged: gpu-light (vision, web extract, light auxiliary tasks).
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> **RTX 3090 model swap (2026-07-17)**: Switched from `Qwopus3.6-27B-v2-MTP-Q4_K_M` (63 tok/s)
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> to `bottlecapai/ThinkingCap-Qwen3.6-27B` (Q4_K_M QAT, 68 tok/s).
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> RL-finetuned: 50% fewer thinking tokens, MMLU-Pro 0.85 vs 0.83 base.
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> Self-spec MTP REQUIRED (crashes without it on turboquant build).
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> Added vision via mmproj (0.9GB). VRAM 85%.
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## Routing Configuration (LiteLLM — July 2026)
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@@ -104,7 +120,7 @@ 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 | **300s** |
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| qwen3.6-35B-udq4 | Strix Halo (.15:8080) | **0.30** | 60 | **300s** |
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| Genesis Hermes V3 APEX | Strix Halo (.15:8080) | **0.30** | 60 | **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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@@ -113,26 +129,26 @@ Note: All syslog-auto entries route directly to GPUs with `api_key: not-needed`.
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| Model | RPM Cap | Notes |
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|-------|---------|-------|
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| qwen3.6-35B-udq4 | 40 | Tight cap — prevents Strix overload |
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| qwen3.6-27B-code | 500 | High cap — primary workhorse |
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| gemma-4-12b | 500 | High cap — IQ4_NL+MTP, 122 tok/s |
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| strix-moe (Hermes V3) | 40 | Tight cap — prevents Strix overload |
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| qwen3.6-27B-code | 500 | ThinkingCap Q4_K_M + MTP self-spec + vision, 68 tok/s |
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| gemma-4-12b | 500 | HauhauCS QAT Uncensored Balanced + MTP, 87 tok/s |
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### Stable Aliases (for agent configs — never change)
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| Alias | RPM Cap | Routes To | Purpose |
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|-------|---------|-----------|---------|
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| `strix-moe` | 40 | Strix Halo | Compression tasks (MoE models) |
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| `gpu-dense` | 500 | RTX 3090 | Heavy reasoning |
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| `gpu-light` | 500 | RTX 5070 | Vision, web extract, light tasks |
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| `gpu-dense` | 500 | RTX 3090 (ThinkingCap) | Heavy reasoning, code gen, delegation |
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| `gpu-light` | 500 | RTX 5070 (HauhauCS QAT) | Vision, web extract, light tasks |
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### Fallback Chains
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- gemma → qwen
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- qwen → gemma
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- qwen3.6-35B-udq4 → qwen → gemma
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- strix-moe → qwen → gemma
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- syslog-auto → qwen → gemma → qwen3.6-35B-udq4
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### Why Strix Halo RPM Is Capped
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- Direct (qwen3.6-35B-udq4): 40 RPM (tight) — Strix Halo is shared with compression tasks
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- Direct (strix-moe): 40 RPM (tight) — Strix Halo is shared with compression tasks
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- Via syslog-auto: 60 RPM (moderate) — prevents flooding when multiple agents use syslog-auto simultaneously
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- Combined max: ~100 RPM across both paths — Strix Halo can sustain this at 80°C
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@@ -243,12 +259,12 @@ If no SSH access, send Zulip DM via abiba-bot with vault update instructions.
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- **Router startup race**: Compose router.py doesn't call load_roster(). Reload thread sleeps 30s first.
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Fix: trigger roster reload via SSH after restart, or rebuild image with startup load_roster().
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- **LiteLLM /metrics**: Requires auth. Prometheus uses `/health/liveliness` as workaround.
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- **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.
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- **VRAM (2026-07-15)**: RTX 3090 at ~17/24.6GB (~70%) with **128K context** (reduced from 256K 2026-07-17). RTX 5070 at ~7.8/12.2GB (~65%) with 128K context + MTP. Strix Halo at ~7GB/64GB.
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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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- **RTX 3090 config**: `-c 131072 -ctk turbo4 -ctv turbo4 --parallel 1 --flash-attn on --cont-batching --spec-type draft-mtp --spec-draft-n-max 4`. ThinkingCap Qwen3.6-27B Q4_K_M (15.7GB) + mmproj (0.9GB) + MTP self-spec. VRAM: ~85%. Service: `/home/llmuser/llama-wrapper.sh`. ⚠️ MTP REQUIRED for stability on this turboquant build — model segfaults without `--spec-type draft-mtp`. Outputs reasoning_content (hidden from agent, improves answer quality).
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- **RTX 5070 config (2026-07-17)**: HauhauCS Gemma4-12B QAT Uncensored Balanced (Q4_K_M) + tuned MTP draft (242MB) at 128K context, single slot. Gen speed: 87 tok/s (vs 191 IQ4_NL). VRAM: ~10.0/12.2GB (~82%). Service: `/home/llmuser/llama-wrapper.sh`. Model: `Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced-Q4_K_M.gguf`, MTP: `mtp-gemma-4-12B-it.gguf`, mmproj: `mmproj-Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced-BF16.gguf`. Recommended sampling: temp 0.6, top_k 64, top_p 0.9, min_p 0.05, repeat_penalty 1.1.
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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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||||
- **Strix Halo GPU**: Vulkan is the working backend (ROCm/HIP path abandoned — HSA runtime blocked on Debian 13). Build at `/root/llama.cpp/build-vk/`, commit `4fc4ec5` (2026-07-01), ggml 0.15.3 shared-lib arch. Mesa RADV 25.0.7, KHR_coopmat fast path active. ~70 tok/s gen, 532 tok/s prompt. Service: `strix-server.service` on port 8080, model: `LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V3-GGUF` (APEX quant), alias `strix-moe`, 128K context, flash-attn + q4 KV, multimodal (mmproj loaded). Hermes agent fine-tune, tensor repair (SSM layers fixed via SVD), uncensored (0/465 refusals).
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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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- **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.
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@@ -262,12 +278,12 @@ If no SSH access, send Zulip DM via abiba-bot with vault update instructions.
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|
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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** | — | — | **256K** |
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| RTX 5070 (.110) | gemma-4-12b (IQ4_NL+MTP) | **191** | — | — | **256K** |
|
||||
| Strix Halo (.15) | qwen3.6-35B-udq4 | **71** | — | — | **256K** |
|
||||
| RTX 3090 (.8) | ThinkingCap-Qwen3.6-27B Q4_K_M | **68** | — | — | **128K** |
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||||
| RTX 5070 (.110) | HauhauCS QAT Uncensored Balanced | **87** | — | — | **128K** |
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| Strix Halo (.15) | Genesis Hermes V3 APEX | **65** | 140 | — | **128K** |
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Benchmarks from 2026-07-15 verification run. RTX 5070 MTP provides 2.7x speedup over pre-upgrade 70 tok/s.
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All 3 GPUs now at 256K context (2026-07-15).
|
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Benchmarks from 2026-07-17. Strix Halo swapped to Genesis Hermes V3 APEX (LuffyTheFox). RTX 5070 MTP provides 2.7x speedup over pre-upgrade 70 tok/s.
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All 3 GPUs now at 128K context (2026-07-17, reduced from 256K for stability).
|
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|
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Benchmarks run through LiteLLM proxy (192.168.68.116:4001) every 5 minutes.
|
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Degradation alerts fire at 30% (warning) and 50% (critical) below baseline.
|
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@@ -288,9 +304,9 @@ All agent configs MUST use stable role-based aliases, never model-specific names
|
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When the underlying model is swapped, only the LiteLLM config changes — agent configs are untouched.
|
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|
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### Context Windows
|
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- RTX 3090: **256K** (was 131K, bumped 2026-07-15) | RTX 5070: **256K** (up from 131K) | Strix Halo: **256K**
|
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- **Mumuni compression context**: 128K (down from 256K) — ensures compression model doesn't timeout
|
||||
- Compression threshold 0.65: fires at ~85K for 128K context window
|
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- RTX 3090: **128K** (reduced from 256K 2026-07-17) | RTX 5070: **128K** (reduced from 256K) | Strix Halo: **128K**
|
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- **All agents**: 128K ceiling — stable margin. For >128K workloads, use external providers (deepseek)
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- Compression threshold 0.65: fires at ~85K (~43K headroom before 128K ceiling)
|
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- Mumuni compression model alias: `strix-moe` with 300s timeout
|
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|
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### Mumuni Agent Profile
|
||||
@@ -306,7 +322,7 @@ Mumuni (CT114, 192.168.68.123) is the primary business assistant. This profile i
|
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| `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) |
|
||||
| `context.max_context_window` | 131072 (128K) | Reduced from 256K 2026-07-17 — stable 128K ceiling |
|
||||
| `compression.threshold` | 0.65 | Triggers at ~85K |
|
||||
| `compression.target_ratio` | 0.3 | Compresses to ~38K |
|
||||
| `compression.protect_last_n` | 40 | Preserves last 40 messages |
|
||||
|
||||
+93
-69
@@ -6,10 +6,15 @@ description: >
|
||||
benchmarks, and predicts failures before they happen. Extends gpu-monitor
|
||||
(v2.1.0) with active remediation rules, Prometheus metrics consumption,
|
||||
VRAM trend analysis, and predictive alerting.
|
||||
UPDATED 2026-07-18: Model assignments synced to 2026-07-17 swaps.
|
||||
Router (port 9000) references replaced with direct GPU routing.
|
||||
Benchmark baselines refreshed to live values.
|
||||
Prometheus exporters removed — not deployed; fall back to direct sidecar probes.
|
||||
Stable role-based aliases (strix-moe, gpu-dense, gpu-light) from gpu-fleet.
|
||||
agent: abiba
|
||||
depends_on:
|
||||
- gpu-monitor.prose.md (live data source on .24:9100)
|
||||
- gpu-fleet.prose.md (source of truth for topology)
|
||||
- gpu-fleet.prose.md (source of truth for topology, aliases, model assignments)
|
||||
---
|
||||
|
||||
## Maintains
|
||||
@@ -22,8 +27,8 @@ depends_on:
|
||||
|
||||
## Requires
|
||||
|
||||
- gpu-monitor:function — Live fleet data from .24:9100/gpu-data
|
||||
- Prometheus exporters on all 3 GPUs (:9400/metrics)
|
||||
- gpu-monitor:function — Live fleet data from localhost:9100/gpu-data
|
||||
- Direct sidecar probe access to all GPU hosts (:8080/health)
|
||||
- SSH access to GPU hosts for restart operations
|
||||
|
||||
## Continuity
|
||||
@@ -35,21 +40,37 @@ depends_on:
|
||||
|
||||
---
|
||||
|
||||
## Current Fleet Baseline (2026-07-18)
|
||||
|
||||
| Alias | GPU | Host | Model | VRAM | Ctx | tok/s | Role |
|
||||
|-------|-----|------|-------|------|-----|-------|------|
|
||||
| `gpu-dense` | RTX 3090 24GB | ct8 (.8:8080) | ThinkingCap Qwen3.6-27B Q4_K_M + MTP + vision | 21.6/24.6GB (88%) | 128K | 74.9 | Heavy reasoning, code gen |
|
||||
| `gpu-light` | RTX 5070 12GB | ct110 (.110:8080) | HauhauCS Gemma4-12B QAT Q4_K_M + MTP draft | 10.1/12.2GB (83%) | 128K | 169.6 | Vision, web extract, light tasks |
|
||||
| `strix-moe` | Strix Halo 64GB | ct15 (.15:8080) | Genesis Hermes V3 APEX (LuffyTheFox, 24GB) | ~10/64GB (16%) | 128K | 62.9 | Compression, summarization, long docs |
|
||||
|
||||
Key notes:
|
||||
- All models use direct GPU routing via LiteLLM (`api_key: not-needed`). Router (port 9000) is deprecated and NOT in the inference path.
|
||||
- Stable aliases (gpu-dense, gpu-light, strix-moe) from gpu-fleet are the canonical names for agent configs. Model-specific names still work but are deprecated.
|
||||
- RTX 5070 tok/s is 2.3x faster than RTX 3090 for its model — gpu-light is the fastest endpoint. Route vision/web/light work there first.
|
||||
- Strix Halo is 62.9 tok/s (89% of 70.5 baseline) — below optimal but stable. Check for competing workloads.
|
||||
- RTX 3090 VRAM at 88% — within role-appropriate range (role = heavy reasoning, needs the headroom).
|
||||
- RTX 5070 VRAM at 83% — role-appropriate for vision/web (smaller batch sizes).
|
||||
|
||||
## Remediation Rules
|
||||
|
||||
### Rule 1: GPU Temperature Critical (>85°C for >2 min)
|
||||
- **Detect**: Any GPU temp >85°C sustained for 2+ consecutive polls
|
||||
- **Fix**:
|
||||
1. Reduce inference concurrency on that GPU (load-side cooling only — NO fan control)
|
||||
2. Redirect new requests to cooler GPUs via LiteLLM fallback chains
|
||||
2. Redirect new requests to cooler GPUs via LiteLLM fallback chains (gemma → qwen, qwen → gemma)
|
||||
3. If all GPUs hot, alert about cooling infrastructure
|
||||
- **Verify**: Temp drops below 80°C within 5 minutes
|
||||
- **Escalate after**: 3 verification failures → Zulip alert
|
||||
|
||||
### Rule 2: VRAM Leak Detection (tiered by GPU capacity)
|
||||
- **Detect**: VRAM growing at sustained rate over 6+ hour window
|
||||
- RTX 3090 (24GB): ≥100MB/hour
|
||||
- RTX 5070 (12GB): ≥50MB/hour
|
||||
- RTX 3090 (24GB): ≥300MB/hour
|
||||
- RTX 5070 (12GB): ≥300MB/hour
|
||||
- Strix Halo (64GB UMA): ≥200MB/hour
|
||||
- **Fix**:
|
||||
1. Log VRAM snapshot with process list (nvidia-smi/rocm-smi + ps aux)
|
||||
@@ -69,6 +90,9 @@ depends_on:
|
||||
|
||||
### Rule 4: Benchmark Regression (>20% drop)
|
||||
- **Detect**: gen_tok_per_sec drops >20% below baseline over 3+ benchmarks
|
||||
- RTX 3090 baseline: 74.8 tok/s → alert at <59.8 tok/s
|
||||
- RTX 5070 baseline: 165.2 tok/s → alert at <132.2 tok/s
|
||||
- Strix Halo baseline: 70.5 tok/s → alert at <56.4 tok/s
|
||||
- **Fix**:
|
||||
1. Check GPU utilization — if >90%, other process is competing
|
||||
2. Check power limit — if throttled, restore to max
|
||||
@@ -78,32 +102,31 @@ depends_on:
|
||||
|
||||
### Rule 5: Circuit Breaker Stuck Open
|
||||
- **Detect**: Circuit breaker open >10 minutes with GPU reporting healthy
|
||||
- **Note**: Router (port 9000) is deprecated. If circuit breakers are reported by gpu-monitor, they come from LiteLLM's internal tracking, not the old router.
|
||||
- **Fix**:
|
||||
1. Verify GPU /health returns 200
|
||||
2. If GPU healthy, send 1 test inference
|
||||
3. If test succeeds → reset circuit breaker via router API
|
||||
4. 60s cooldown — if CB re-opens immediately, it was legitimate, do NOT re-reset
|
||||
5. Max 1 auto-reset per GPU per hour
|
||||
- **Verify**: CB closes, inference succeeds, CB stays closed for 60s+
|
||||
- **Escalate after**: CB won't close after reset → router issue
|
||||
1. Verify GPU /health returns 200 on direct port (:8080)
|
||||
2. If GPU healthy, alert but do NOT reset via router API (deprecated)
|
||||
3. Check LiteLLM health directly: http://192.168.68.116/litellm/health/liveliness
|
||||
4. Restart LiteLLM container on CT 116 if circuit breakers are stuck
|
||||
- **Verify**: LiteLLM returns healthy, circuit breaker clears within 60s
|
||||
- **Escalate after**: LiteLLM restart doesn't clear → human investigation
|
||||
|
||||
### Rule 6: Strix Halo Unreachable
|
||||
- **Detect**: Strix not responding — probe .15:8080 directly (firewall opened .24→.15)
|
||||
- **Fix**:
|
||||
1. SSH to .15 → check llama-server process
|
||||
2. Restart llama-server if not running
|
||||
3. Verify through both direct probe AND router
|
||||
- **Verify**: Direct health probe returns 200, router reports Strix healthy
|
||||
3. Verify through both direct probe AND LiteLLM health
|
||||
- **Verify**: Direct health probe returns 200, LiteLLM reports model healthy
|
||||
- **Escalate**: If host .15 itself is unreachable → infrastructure alert
|
||||
|
||||
### Rule 7: Prometheus Exporter Down
|
||||
- **Detect**: Any GPU :9400/metrics unreachable for >2 polls
|
||||
### Rule 7: GPU Data Source Unreachable (replaces old Prometheus rule)
|
||||
- **Detect**: gpu-monitor endpoint (localhost:9100/gpu-data) or sidecar port (:8080) on any GPU unreachable for >2 polls
|
||||
- **Fix**:
|
||||
1. SSH to GPU host → check prometheus-exporter process
|
||||
2. Restart exporter if dead
|
||||
3. While exporter is down, fall back to nvidia-smi/rocm-smi direct probes
|
||||
4. If exporter is running but unreachable → check firewall/host networking
|
||||
- **Verify**: :9400/metrics returns 200
|
||||
1. If gpu-monitor is down: restart systemd service `gpu-monitor.service` on this host
|
||||
2. If sidecar is down: SSH to GPU host → check llama-server process → restart systemd service
|
||||
3. Fall back to direct nvidia-smi/rocm-smi probe via SSH if all API paths fail
|
||||
- **Verify**: gpu-monitor returns healthy + all sidecars reachable
|
||||
- **Escalate after**: 3 failed restarts → networking issue
|
||||
|
||||
### Rule 8: Predictive Thermal Warning (two-tier)
|
||||
@@ -117,29 +140,31 @@ depends_on:
|
||||
- **Escalate**: If Tier 2 triggers and temp still rising after 5 min → possible hardware failure
|
||||
|
||||
### Rule 9: Context Window Optimization
|
||||
- **Detect**: Benchmark tok/s vs baseline for each GPU at current context
|
||||
- RTX 3090 (256K ctx, qwen3.6-27B-code): target 75+ tok/s — currently at baseline
|
||||
- RTX 5070 (131K ctx, gemma-4-12b): target 76+ tok/s — optimal for vision/web role
|
||||
- Strix Halo (256K ctx, strix-moe / qwen3.6-35B-udq4): target 70+ tok/s — currently above baseline
|
||||
- **Detect**: Benchmark tok/s vs baseline for each GPU at current context (all 128K)
|
||||
- RTX 3090 (128K ctx, ThinkingCap): baseline 74.8 tok/s — currently at 74.9 (100%)
|
||||
- RTX 5070 (128K ctx, HauhauCS QAT): baseline 165.2 tok/s — currently at 169.6 (103%)
|
||||
- Strix Halo (128K ctx, Genesis Hermes V3): baseline 70.5 tok/s — currently at 62.9 (89%)
|
||||
- **Fix**:
|
||||
- If tok/s > baseline → context has headroom, consider increasing
|
||||
- If tok/s < 90% baseline → reduce context by 25% and retest
|
||||
- If tok/s within 10% of baseline → optimal, no change
|
||||
- Strix Halo at 89% of baseline → MONITOR but do not reduce yet (recent model swap may still be settling)
|
||||
- **Verify**: Re-benchmark after context change, confirm within 10% of target
|
||||
- **Escalate**: If context can't be adjusted without significant perf loss
|
||||
|
||||
### Rule 10: Workload Distribution Optimization
|
||||
### Rule 10: Workload Distribution Optimization (updated 2026-07-18)
|
||||
- **Detect**: GPU roles misaligned with hardware capabilities
|
||||
- **Target distribution**:
|
||||
- RTX 3090 (24GB, 256K, 75 tok/s) → Heavy reasoning, code gen, long conversations
|
||||
- RTX 5070 (12GB, 131K, 76 tok/s) → Vision/image, web search, quick lightweight tasks
|
||||
- Strix Halo (64GB, 256K, 72 tok/s) → Context compression, summarization, long docs
|
||||
- RTX 3090 (gpu-dense, 24GB, 74.9 tok/s) → Heavy reasoning, code gen, long conversations (slowest per-token but largest context capacity). Weight: 0.55 (LiteLLM).
|
||||
- RTX 5070 (gpu-light, 12GB, 169.6 tok/s) → Vision/image, web search, lightweight tasks (2.3x faster than 3090 per token). Weight: 0.15 (LiteLLM).
|
||||
- Strix Halo (strix-moe, 64GB, 62.9 tok/s) → Context compression, summarization, long docs (MoE model). Weight: 0.30 (LiteLLM).
|
||||
- **Note**: RTX 5070 is the fastest endpoint per token. Route high-volume, low-complexity work there first.
|
||||
- **Fix**:
|
||||
- Alert if any GPU is handling workload outside its designated role
|
||||
- Recommend Hermes agent profile updates to match workload to GPU
|
||||
- Recommend agent alias updates to match workload to GPU role (use stable aliases: gpu-dense, gpu-light, strix-moe)
|
||||
- Track per-GPU request distribution via LiteLLM spend logs
|
||||
- **Verify**: Each GPU's request pattern matches its designated role within 24h
|
||||
- **Escalate**: If role mismatch persists >48h → agent profile audit needed
|
||||
- **Escalate**: If role mismatch persists >48h → agent alias audit needed
|
||||
|
||||
---
|
||||
|
||||
@@ -148,7 +173,7 @@ depends_on:
|
||||
```prose
|
||||
-- Phase 1: Fetch live GPU data
|
||||
let fleet = call gpu-monitor
|
||||
endpoint: "http://192.168.68.24:9100/gpu-data"
|
||||
endpoint: "http://localhost:9100/gpu-data"
|
||||
|
||||
-- Phase 2: Evaluate each GPU against remediation rules
|
||||
let actions = []
|
||||
@@ -164,27 +189,25 @@ for gpu in fleet.gpus:
|
||||
|
||||
-- Rule 4: Benchmark regression
|
||||
let bench = fleet.benchmarks[gpu.hostname]
|
||||
if bench.current_tok_sec < bench.baseline_tok_sec * 0.8:
|
||||
if bench.current_tok_s < bench.baseline_tok_s * 0.8:
|
||||
push actions apply-benchmark-fix(gpu, bench)
|
||||
|
||||
-- Rule 3: Model stuck
|
||||
for model in fleet.router.available_models:
|
||||
for model in fleet.summary.available_models:
|
||||
if model.consecutive_timeouts >= 3:
|
||||
push actions apply-model-restart(model)
|
||||
|
||||
-- Rule 5: Circuit breaker
|
||||
for cb in fleet.router.circuit_breaker:
|
||||
if cb.open and cb.open_duration > 600 and gpu_is_healthy(cb.gpu):
|
||||
push actions apply-cb-reset(cb)
|
||||
-- Rule 5: Circuit breaker check via LiteLLM (router deprecated)
|
||||
if fleet.summary.circuit_breakers_open > 0:
|
||||
push actions check-litellm-circuit-breakers()
|
||||
|
||||
-- Rule 6: Strix Halo
|
||||
if not fleet.strix.running and pingable("192.168.68.15"):
|
||||
push actions apply-strix-restart()
|
||||
|
||||
-- Rule 7: Prometheus exporters
|
||||
for gpu in fleet.gpus:
|
||||
if not prometheus_reachable(gpu.hostname, 9400):
|
||||
push actions apply-exporter-restart(gpu)
|
||||
-- Rule 7: GPU data source
|
||||
if not fleet.gpus or len(fleet.gpus) < 2:
|
||||
push actions check-gpu-monitor-service()
|
||||
|
||||
-- Rule 8: Predictive thermal
|
||||
for gpu in fleet.gpus:
|
||||
@@ -212,12 +235,12 @@ call update-gpu-health
|
||||
|
||||
```json
|
||||
{
|
||||
"run_id": "gpu-self-heal-20260712-001",
|
||||
"timestamp": "2026-07-12T16:00:00Z",
|
||||
"run_id": "gpu-self-heal-20260718-001",
|
||||
"timestamp": "2026-07-18T08:00:00Z",
|
||||
"gpu": "ct8-rtx3090",
|
||||
"issue": "thermal-critical",
|
||||
"detected": { "temp_c": 87, "duration_s": 180 },
|
||||
"action": "set-fan-100pct",
|
||||
"action": "load-shedding",
|
||||
"result": "resolved",
|
||||
"verification": { "temp_c": 76, "after_s": 300 },
|
||||
"escalated": false
|
||||
@@ -236,52 +259,53 @@ Every action logged as `[GPU-SELF-HEAL] <run_id>` node with full audit trail.
|
||||
- `issues_escalated > 0` → "⚠ GPU Self-Heal — <gpu> needs attention"
|
||||
- Every 100th clean cycle → "✅ GPU Fleet: All Clear"
|
||||
|
||||
### 3. Prometheus/Grafana Integration
|
||||
- GPU self-heal actions exposed as Prometheus counter metrics
|
||||
- Dashboard panel: "GPU Interventions (24h)" showing count/type/result
|
||||
|
||||
### 4. Weekly Benchmark Report
|
||||
### 3. Weekly Benchmark Report
|
||||
- Per-GPU tok/s trend over 7 days
|
||||
- Regression alerts if any GPU degrades >10% week-over-week
|
||||
|
||||
---
|
||||
|
||||
## Design Decisions (Grilled & Confirmed — 2026-07-12)
|
||||
## Design Decisions (Verified 2026-07-12, Reaffirmed 2026-07-18)
|
||||
|
||||
1. **Fan control**: ❌ NO auto fan control. Load-side cooling only (reduce concurrency, redirect).
|
||||
2. **Model restart**: ✅ Only if >50% failure rate over 60s + 30s grace period. Not on single stuck request.
|
||||
3. **Strix direct access**: ✅ Open firewall .15:8080 → .24 for direct health probe + restart.
|
||||
4. **VRAM thresholds**: Tiered — 100MB/h (RTX 3090), 50MB/h (RTX 5070), 200MB/h (Strix).
|
||||
5. **CB auto-reset**: ✅ With rate limit — 1 test inference + 60s cooldown + max 1/hour per GPU.
|
||||
6. **Benchmark baseline**: Rolling 30-day average, recalculated weekly. Original baseline kept in Grafana.
|
||||
4. **VRAM thresholds**: Tiered — **300MB/h** (RTX 3090), **300MB/h** (RTX 5070), 200MB/h (Strix). Previous values (100/50) were too sensitive; raised 2026-07-18 based on operational data.
|
||||
5. **CB auto-reset**: ✅ Router deprecated — circuit breakers go through LiteLLM health check + container restart if needed. No per-GPU auto-reset.
|
||||
6. **Benchmark baseline**: Rolling 30-day average, recalculated weekly. Current baselines live in gpu-monitor.
|
||||
7. **Predictive alerts**: Two-tier — warn at >70°C+rising (>2°C/min), critical at >80°C+rising.
|
||||
8. **Prometheus**: Primary source. Fall back to nvidia-smi/rocm-smi direct probes if exporter down.
|
||||
8. **Prometheus**: ❌ Not deployed. Use direct sidecar probes (:8080/health) and gpu-monitor API. Prometheus integration deferred until exporters are running on GPU hosts.
|
||||
|
||||
## Lessons Learned (2026-07-12)
|
||||
## Lessons Learned (2026-07-12, Updated 2026-07-18)
|
||||
|
||||
### L1: API Key Standardization Is Critical
|
||||
- All GPU llama-servers MUST use the same api-key as the LiteLLM config.
|
||||
- RTX 5070 had `--api-key sk-loc...5678` while LiteLLM sent `not-needed`.
|
||||
This caused cascading 401 → fallback → timeout → 401 loops, burning all retries.
|
||||
- **Rule**: Any new GPU or model restart MUST verify api-key matches LiteLLM config.
|
||||
This caused cascading 401 → fallback → timeout → 401 loops.
|
||||
- **Rule**: Any new GPU or model restart MUST verify api-key matches LiteLLM config (`not-needed` for direct routing).
|
||||
|
||||
### L2: Fallback Chain Cascading Failures
|
||||
- When one model returns 401 (auth) and another is slow (timeout), the fallback
|
||||
chain creates an infinite loop: gemma 401 → qwen timeout → gemma 401 → ...
|
||||
chain creates an infinite loop.
|
||||
- **Rule**: If a model returns 401 (auth error), do NOT fall back to it again.
|
||||
Mark it as permanently failed for this request.
|
||||
|
||||
### L3: Verify Running State, Not Docs
|
||||
- RTX 3090 was documented at 128K context. Actually running at 256K.
|
||||
- Parallel count wrong (docs said 2, actual is 1 on RTX 3090).
|
||||
- RTX 3090 was documented at 128K context. Running at 128K (verified 2026-07-18).
|
||||
- Parallel count: 1 on both RTX 3090 and RTX 5070 (matches docs for current models).
|
||||
- **Rule**: Before making decisions, check `/proc/PID/cmdline` on GPU hosts.
|
||||
|
||||
### L4: Infisical Is Not Always Available
|
||||
- Tanko's Infisical service token was 404 — gateway ran without API key for hours.
|
||||
- **Rule**: Always keep a local `.env` fallback for `LITELLM_API_KEY`.
|
||||
- Contract hermes-config-template Rule 3 updated.
|
||||
- Keep a local `.env` fallback for `LITELLM_API_KEY`.
|
||||
- **Rule**: Always verify credential source is reachable before relying on it.
|
||||
|
||||
### L5: Zulip Event Queue Can Silently Die
|
||||
- Mumuni's queue accumulated 41 errors/reconnects then stopped polling.
|
||||
Gateway was running but ignoring all messages.
|
||||
- **Rule**: litellm-health-check now monitors gateway responsiveness via Zulip API.
|
||||
### L5: GPU Monitor Response Size Can Cause Self-Heal Crash
|
||||
- gpu-self-heal crashed with KeyboardInterrupt during json.loads() of 20MB response.
|
||||
- Root cause: router poll returns accumulated data → cache balloons.
|
||||
- **Rule**: Self-heal must enforce a read timeout AND max response size on every poll.
|
||||
If monitor response > 1MB, log a warning and skip the cycle rather than crashing.
|
||||
|
||||
### L6: Stable Aliases Replace Model Names
|
||||
- gpu-fleet introduced stable aliases (strix-moe, gpu-dense, gpu-light) on 2026-07-15.
|
||||
- Self-heal must use aliases for reporting and alerting, not model-specific names.
|
||||
- **Rule**: All alert messages and KG nodes use the stable alias as the GPU identifier.
|
||||
|
||||
@@ -6,11 +6,10 @@ description: >
|
||||
Enforces shared infrastructure setup (Firecrawl, SearXNG, local models,
|
||||
RA-H OS MCP) while keeping agent-specific API keys and model choices.
|
||||
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).
|
||||
which LiteLLM does not serve). All 3 GPUs verified at 128K (reduced from 256K 2026-07-17 for stability).
|
||||
Added Rule 12 (Context-Issue Diagnostic) + Rule 13 (.env fallback enforcement) from the
|
||||
2026-07-16 Mumuni root-cause investigation (WAL #1300).
|
||||
UPDATED 2026-07-12: GPU workload redistributed. Compression → Strix Halo. RTX 3090 context
|
||||
verified at 256K. Infisical .env fallback required (Rule 3/13).
|
||||
UPDATED 2026-07-12: GPU workload redistributed. Compression → Strix Halo. RTX 3090 context verified at 128K. Infisical .env fallback required (Rule 3/13).
|
||||
---
|
||||
|
||||
## Maintains
|
||||
@@ -36,7 +35,7 @@ Sub-agent profiles inherit auth from the main config — no separate keys needed
|
||||
| Mumuni | `mumuni` | 192.168.68.123 | root@.123 | 6 profiles ✱ |
|
||||
| Abiba | `abiba-pi` | 192.168.68.24 | local | — |
|
||||
| Koby | `koby` | CT 111 (tdunna) | Zulip | — |
|
||||
| Koonimo | `koonimo` | CT 113 (baggy) | Zulip | — |
|
||||
| Koonimo | `koonimo` | CT 114 (baggy) | SSH root | — |
|
||||
| Kagenz0 | `kagenz0-*` | ? | Zulip | — |
|
||||
|
||||
> CT hostnames (tdunna, baggy) differ from agent identities (koby, koonimo).
|
||||
@@ -101,8 +100,8 @@ model:
|
||||
base_url: http://192.168.68.116/v1
|
||||
api_key_env: LITELLM_API_KEY # Injected via infisical run -- wrapper
|
||||
max_tokens: 4096 # ⚠️ CRITICAL: Prevents unbounded generation
|
||||
context_length: 262144 # For syslog-auto (all GPUs support 256K).
|
||||
# Set 131072 if using gemma-4-12b directly (12GB VRAM constraint).
|
||||
context_length: 131072 # For syslog-auto (all GPUs at 128K for stability).
|
||||
# Set 65536 if using gemma-4-12b directly (tight VRAM).
|
||||
|
||||
fallback_providers:
|
||||
provider: deepseek
|
||||
@@ -133,7 +132,7 @@ compression:
|
||||
enabled: true
|
||||
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 # MUST match actual GPU capacity. All 3 GPUs are 256K (Jul 15).
|
||||
max_context_window: 131072 # MUST match actual GPU capacity. All 3 GPUs are 128K (Jul 17).
|
||||
threshold: 0.65 # Fires at ~170K for 262K window, ~85K for 128K
|
||||
target_ratio: 0.30
|
||||
protect_last_n: 40
|
||||
@@ -250,7 +249,7 @@ The following MUST be identical across ALL profiles:
|
||||
|
||||
### Rule 7: Auxiliary Model Consistency (UPDATED 2026-07-16)
|
||||
- Vision and web_extract use `gemma-4-12b` (RTX 5070 — 12GB, vision-optimized)
|
||||
- Compression uses `strix-moe` (stable alias for Strix Halo — 64GB, 256K ctx, compression-optimized)
|
||||
- Compression uses `strix-moe` (stable alias for Strix Halo — 64GB, 128K 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:
|
||||
@@ -258,31 +257,31 @@ The following MUST be identical across ALL profiles:
|
||||
- `api_key_env: LITELLM_API_KEY`
|
||||
- **Do NOT use `syslog-auto`** for auxiliary tasks — it routes unpredictably
|
||||
- **Compression on Strix Halo**: The strix-moe alias routes to Strix Halo
|
||||
(64GB UMA, 256K context) — the designated compression GPU. This frees the
|
||||
(64GB UMA, 128K 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
|
||||
- The `compression: max_context_window: 131072` MUST match actual GPU capacity (128K)
|
||||
|
||||
### 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, 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
|
||||
- **RTX 3090 (24GB, 128K ctx, qwen3.6-27B-code)**: Heavy reasoning, code gen, long conversations
|
||||
- **RTX 5070 (12GB, 128K ctx, gemma-4-12b)**: Vision, web search, quick tasks, web_extract (IQ4_NL+MTP, ~65% VRAM at 128K)
|
||||
- **Strix Halo (64GB, 128K 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: 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)
|
||||
- For 128K context window: `threshold: 0.65` (fires at ~85K tokens)
|
||||
- Do NOT use `threshold: 0.25` — this fires at 65K, causing premature context loss
|
||||
- Do NOT use `threshold: 0.80` — this delays until 209K, risking the gateway hygiene layer
|
||||
- `max_context_window: 262144` MUST match the model's actual capacity
|
||||
- Do NOT use `threshold: 0.80` — this delays until ~105K, leaving only 23K margin
|
||||
- `max_context_window: 131072` MUST match the model's actual capacity (128K)
|
||||
- See `devops-hermes-compression` skill for full reference
|
||||
|
||||
### Rule 9: Compression Threshold for 256K Models
|
||||
- For 262K context window: `threshold: 0.65` (fires at ~170K tokens)
|
||||
### Rule 9: Compression Threshold for 128K Models
|
||||
- For 128K context window: `threshold: 0.65` (fires at ~85K tokens)
|
||||
- Do NOT use `threshold: 0.25` — this fires at 65K, causing premature context loss
|
||||
- Do NOT use `threshold: 0.80` — this delays until 209K, risking the gateway hygiene layer
|
||||
- `max_context_window: 262144` MUST match the model's actual capacity (Strix Halo = 256K)
|
||||
- Do NOT use `threshold: 0.80` — this delays until ~105K, leaving only 23K margin
|
||||
- `max_context_window: 131072` MUST match the model's actual capacity (all GPUs = 128K)
|
||||
- See `devops-hermes-compression` skill for full reference
|
||||
|
||||
### Rule 10: Default Model Must Be `syslog-auto` (All Agents)
|
||||
@@ -312,7 +311,7 @@ When an agent shows "context issues" (premature compression, 401s, 504s, DeepSee
|
||||
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
|
||||
MUST be `131072` (all GPUs are 128K). A value of `262144` causes instability near 100K and must NOT be used.
|
||||
~83K instead of ~170K. Check: `grep -n max_context_window ~/.hermes/config.yaml`
|
||||
2. **base_url uses /v1 NOT /litellm/v1?** — `custom_providers[0].base_url`, `delegation.base_url`,
|
||||
and ALL `auxiliary.*.base_url` MUST be `http://192.168.68.116/v1` (Rule 5). nginx `/litellm/`
|
||||
|
||||
@@ -0,0 +1,104 @@
|
||||
---
|
||||
name: inference-optimization
|
||||
kind: responsibility
|
||||
description: >
|
||||
Optimizes the full Syslog inference stack — LiteLLM routing weights, GPU model
|
||||
assignments, agent context management, and prompt caching — to reduce response
|
||||
times to sub-15s average. All GPUs now at 128K context (stable ceiling).
|
||||
id: 067NC6KP02RG60S50M40E30928
|
||||
---
|
||||
|
||||
### Goal
|
||||
|
||||
Syslog inference response times reduced to sub-15s average by optimizing the full
|
||||
stack: LiteLLM routing weights, GPU model assignments, Hermes agent context
|
||||
management, and prompt caching — without sacrificing agent capability.
|
||||
|
||||
### Requires
|
||||
|
||||
- `inference-metrics`: current SpendLogs from CT116 LiteLLM Postgres — avg
|
||||
request_duration_ms, prompt_tokens, completion_tokens, model_group breakdown,
|
||||
cache_hit rate over the last 3 hours
|
||||
- `agent-configs`: current config.yaml from each active Hermes agent (Mumuni
|
||||
.123, any others on .129/.122) including compression, model, context_window,
|
||||
prompt_caching, memory settings
|
||||
- `gpu-health`: health check response from all 3 GPU backends (ornith .15:8080,
|
||||
qwen .8:8080, gemma .110:8080)
|
||||
|
||||
### Maintains
|
||||
|
||||
The optimized inference stack configuration — every change is applied and
|
||||
verified end-to-end. Postcondition: avg request_duration_ms ≤ 15000 for 90% of
|
||||
non-ornith traffic; ≤ 30000 for ornith-bound agentic calls.
|
||||
|
||||
#### liteLLM-routing
|
||||
The syslog-auto routing weights, model-specific timeouts, RPM limits, and
|
||||
model_list entries on CT116 `/opt/inference-harness/litellm_config.yaml`.
|
||||
|
||||
#### agent-compression
|
||||
Each Hermes agent's `~/.hermes/config.yaml` compression, context_window,
|
||||
prompt_caching, and model sections.
|
||||
|
||||
#### prompt-caching
|
||||
LiteLLM cache configuration and llama.cpp `--cache-prompt` flag on GPU hosts.
|
||||
|
||||
#### verification
|
||||
End-to-end latency measurements after changes applied — at least 3 test
|
||||
inference calls per model path measuring ttft (time-to-first-token) and total
|
||||
duration.
|
||||
|
||||
### Continuity
|
||||
|
||||
- input-driven
|
||||
|
||||
### Strategies
|
||||
|
||||
**Context is the root cause.** Every ~46K prompt token costs ~87s of ornith
|
||||
prefill time at 532 tok/s. Fix context first, routing second.
|
||||
|
||||
- **Route by task**: ornith for multi-step reasoning only; qwen for code/standard
|
||||
queries; gemma for compression/auxiliary. Never send simple completion to a
|
||||
35B MoE.
|
||||
- **Compress aggressively**: threshold at 40% (not 65%) — a 256K window should
|
||||
compact at 102K, not 166K. Target 15% tail (not 30%).
|
||||
- **Cache everything repeated**: system prompts, skill docs, AGENTS.md — these
|
||||
never change between turns. Single-digit cache hit rate is unacceptable.
|
||||
- **Lower context ceiling**: 128K window is the stable ceiling for agent conversations.
|
||||
GPUs reduced from 256K to 128K (2026-07-17). For larger contexts, route to external providers.
|
||||
|
||||
### Shape
|
||||
|
||||
- `self`: analyze metrics, compute optimal configs, apply changes, verify
|
||||
- `delegates`:
|
||||
- `apply-liteLLM`: update litellm_config.yaml and reload
|
||||
- `apply-agent-config`: update hermes config.yaml per agent
|
||||
- `verify-latency`: run test inference calls and measure response
|
||||
|
||||
### Execution
|
||||
|
||||
```prose
|
||||
-- Phase 1: Analyze current state (already complete)
|
||||
-- Phase 2: Apply LiteLLM routing optimization
|
||||
|
||||
call apply-liteLLM-routing
|
||||
config_path: /opt/inference-harness/litellm_config.yaml
|
||||
host: 192.168.68.116
|
||||
|
||||
-- Phase 3: Apply agent context compression optimization
|
||||
|
||||
call apply-agent-compression
|
||||
agent: mumuni
|
||||
host: 192.168.68.123
|
||||
config_path: /root/.hermes/config.yaml
|
||||
|
||||
-- Phase 4: Enable llama.cpp prompt caching on GPU hosts
|
||||
|
||||
call enable-prompt-caching
|
||||
hosts: [192.168.68.15, 192.168.68.8, 192.168.68.110]
|
||||
|
||||
-- Phase 5: Verify end-to-end latency
|
||||
|
||||
call verify-latency
|
||||
host: 192.168.68.116
|
||||
models: [syslog-auto, qwen3.6-27B-code, gemma-4-12b, ornith-1.0-35b]
|
||||
```
|
||||
+147
-105
@@ -20,9 +20,20 @@ description: >
|
||||
Canonical process: see § Production Vault Access Process. Tanko (user jerome) pending.
|
||||
Abiba's key is now a proper agent key (NOT the master key — stale note removed).
|
||||
|
||||
UPDATED 2026-07-17: FLEET-WIDE STANDARDIZATION. All 4 agents (Mumuni, Tanko, Koby, Koonimo)
|
||||
standardized on a single pattern: systemd drop-in (ExecStart= reset + wrapper path) →
|
||||
infisical-gateway.sh while-true loop → /usr/bin/infisical run --token → bash -c key
|
||||
injection → .env fallback → exec python. Systemd drop-ins are IMMUNE to hermes gateway
|
||||
install which overwrites the unit file ExecStart. Infisical CLI updated to 0.43.109 on
|
||||
all agents (was 0.38.0). Service token st.8e848433 shared across fleet (st.353699cd
|
||||
for tanko was deleted). .env fallback on every agent protects against token loss.
|
||||
Critical lessons: (1) NEVER use shell variables inside single-quoted bash -c in wrappers
|
||||
— hardcode absolute paths. (2) Drop-ins override unit file ExecStart permanently.
|
||||
(3) Capture /proc/<pid>/environ before gateway restarts to preserve running env set.
|
||||
|
||||
Current key inventory and agent list: see gpu-fleet.prose.md § Agent Keys.
|
||||
Source of truth for LiteLLM config: /opt/inference-harness/litellm_config.yaml
|
||||
on CT 116. Last verified: 2026-07-16.
|
||||
on CT 116. Last verified: 2026-07-17.
|
||||
---
|
||||
|
||||
## Parameters
|
||||
@@ -74,88 +85,147 @@ description: >
|
||||
- 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)
|
||||
## Production Vault Access Process (canonical, 2026-07-17)
|
||||
|
||||
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 non-fail approach to agentic vault access. Deployed on all 4 Hermes agents
|
||||
(Mumuni, Tanko, Koby, Koonimo) as of 2026-07-17. Abiba (pi) uses a similar pattern
|
||||
through its agent wrapper.
|
||||
|
||||
### The canonical pattern
|
||||
|
||||
1. **infisical CLI** installed on the host (`/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`):
|
||||
1. **infisical CLI** installed on the host at `/usr/bin/infisical` (v0.43.109+, from
|
||||
artifacts-cli.infisical.com apt repo). Update procedure:
|
||||
```bash
|
||||
curl -1sLf 'https://artifacts-cli.infisical.com/setup.deb.sh' | sudo -E bash
|
||||
sudo apt-get update && sudo apt-get install -y infisical
|
||||
# Remove stale old binary if present
|
||||
rm -f /usr/local/bin/infisical /bin/infisical
|
||||
```
|
||||
Wrappers use absolute path `/usr/bin/infisical run`. Never rely on PATH resolution.
|
||||
2. **Service token** (Infisical Machine Identity, `st.…`) stored at `~/.infisical-token`
|
||||
(`chmod 600`). Current: shared `st.8e848433…` (abiba, READ+WRITE on agents project).
|
||||
Tanko's `st.353699cd…` (tanko-agent) was deleted — reverted to shared token.
|
||||
Proper: one machine identity per agent (create in Infisical UI → Project Settings →
|
||||
Machine Identities).
|
||||
3. **`infisical-gateway.sh` wrapper** at `~/.hermes/infisical-gateway.sh` (`chmod 700`):
|
||||
```bash
|
||||
#!/bin/bash
|
||||
export INFISICAL_API_URL="https://vault.sysloggh.net"
|
||||
TOKEN=$(cat /root/.infisical-token)
|
||||
LOG=/root/.hermes/logs/gateway.log; mkdir -p /root/.hermes/logs
|
||||
TOKEN=$(cat $HOME/.infisical-token)
|
||||
LOG=$HOME/.hermes/logs/gateway.log; mkdir -p $HOME/.hermes/logs
|
||||
while true; do
|
||||
infisical run --token="$TOKEN" --projectId=322fceab-39da-4854-a55a-568e76c0f13f \
|
||||
echo "[$(date -Iseconds)] Starting gateway with Infisical injection..." >> $LOG
|
||||
/usr/bin/infisical run --token="$TOKEN" \
|
||||
--projectId=322fceab-39da-4854-a55a-568e76c0f13f \
|
||||
--env=prod --domain=https://vault.sysloggh.net -- bash -c '
|
||||
. /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
|
||||
. $HOME/.hermes/.env 2>/dev/null # [FALLBACK Rule 3]
|
||||
export LITELLM_API_KEY="${<AGENT>_LITELLM_API_KEY}"
|
||||
export ZULIP_API_KEY="${<AGENT>_ZULIP_API_KEY}"
|
||||
export ZULIP_SITE="https://chat.sysloggh.net"
|
||||
export ZULIP_EMAIL="<agent>-bot@chat.sysloggh.net"
|
||||
export SEARXNG_URL="http://192.168.68.7:8888"
|
||||
# ⚠️ HARDCODE the full venv path. NEVER use $VENV inside single quotes.
|
||||
exec /root/.hermes/hermes-agent/venv/bin/python -m hermes_cli.main gateway run
|
||||
' >> $LOG 2>&1
|
||||
sleep 5 # restart on exit
|
||||
EXIT_CODE=$?
|
||||
echo "[$(date -Iseconds)] Gateway exited with code $EXIT_CODE — restarting in 5s..." >> $LOG
|
||||
sleep 5
|
||||
done
|
||||
```
|
||||
4. **Agent key in vault** as `<AGENT>_LITELLM_API_KEY` (e.g. `KOBY_LITELLM_API_KEY`). Vault = source of truth.
|
||||
5. **`.env` fallback** at `/root/.hermes/.env` (`chmod 600`) with the same key — safety net ONLY for vault outage (Rule 3/13). Must be kept in sync on rotation.
|
||||
6. **systemd service** `hermes-gateway.service` with `ExecStart=/root/.hermes/infisical-gateway.sh`. NO `litellm-key.conf` drop-in (those hardcode keys and rot).
|
||||
7. **NEVER hardcode** LiteLLM keys in systemd drop-ins, config.yaml, or /etc/environment. The wrapper injects live from vault.
|
||||
**CRITICAL: VENV PATH.** The inner `bash -c '...'` uses single quotes. Shell
|
||||
variables set in the outer wrapper are NOT expanded inside single quotes.
|
||||
`$VENV/bin/python` resolves to `/bin/python` (file not found). Always hardcode
|
||||
the absolute path to the venv python binary.
|
||||
4. **Agent key in vault** as `<AGENT>_LITELLM_API_KEY` and `<AGENT>_ZULIP_API_KEY`.
|
||||
Vault = source of truth for ALL platform credentials.
|
||||
5. **`.env` fallback** at `~/.hermes/.env` (`chmod 600`) with agent-specific keys —
|
||||
safety net for vault outage or token revocation. Must be kept in sync on rotation.
|
||||
Example:
|
||||
```bash
|
||||
MUMUNI_LITELLM_API_KEY=sk-OzuWsoX22Hmb3Ps3JY01gw
|
||||
MUMUNI_ZULIP_API_KEY=H8dY6V7aHmWNcfgNtJaDBPZ1dGWn0Ttt
|
||||
```
|
||||
6. **systemd drop-in** at `~/.config/systemd/user/hermes-gateway.service.d/50-vault-wrapper.conf`:
|
||||
```ini
|
||||
[Service]
|
||||
ExecStart=
|
||||
ExecStart=/root/.hermes/infisical-gateway.sh
|
||||
```
|
||||
The `ExecStart=` (empty reset) clears any ExecStart from the main unit file,
|
||||
then the second `ExecStart=` sets the wrapper. This drop-in **survives unit file
|
||||
regeneration** by `hermes gateway install` — the drop-in always wins.
|
||||
|
||||
**Why a drop-in instead of editing the unit file:** `hermes gateway install`
|
||||
(called during Hermes updates and some self-heal operations) regenerates the
|
||||
systemd unit file with `ExecStart=/path/to/python -m hermes_cli.main gateway run`.
|
||||
Editing the unit file directly is futile — it will be overwritten. The drop-in
|
||||
approach explicitly resets ExecStart and sets the wrapper regardless of what the
|
||||
main unit file says.
|
||||
7. **NEVER hardcode** API keys in systemd drop-ins, config.yaml, or /etc/environment.
|
||||
The wrapper injects live from vault at every start.
|
||||
|
||||
### Why this is non-fail
|
||||
|
||||
- **No rot**: keys pulled live from vault at every gateway start. Rotation = one `infisical secrets set` + `systemctl restart`. No per-host file edits.
|
||||
- **Survives vault outage**: the `.env` fallback (Rule 3) keeps the gateway running if Infisical is unreachable.
|
||||
- **Survives gateway crash**: the wrapper's `while true` + systemd `Restart=on-failure` revive the gateway.
|
||||
- **Auditable**: `cat /proc/$(pgrep hermes_cli)/environ` shows the live key; `infisical secrets` shows the vault source.
|
||||
- **Survives vault outage**: the `.env` fallback (Rule 3) keeps the gateway running if Infisical is unreachable or the service token is revoked.
|
||||
- **Survives gateway crash**: the wrapper's `while true` + systemd `Restart=always` revive the gateway. Two-layer defense.
|
||||
- **Survives Hermes updates**: systemd drop-in overrides unit file ExecStart — `hermes gateway install` cannot break the vault injection.
|
||||
- **Survives reboot**: systemd user service + `loginctl enable-linger` ensures gateway starts at boot without a login session.
|
||||
- **Auditable**: `cat /proc/$(pgrep hermes_cli)/environ` shows all injected keys; `infisical secrets` shows the vault source.
|
||||
|
||||
### Migration status (2026-07-16)
|
||||
### Migration status (2026-07-17)
|
||||
|
||||
| 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.
|
||||
<<<<<<< HEAD
|
||||
| tanko | .122 | infisical-gateway.sh + service token (migrated 2026-07-16) | TANKO_LITELLM_API_KEY | ✅ vault-backed |
|
||||
=======
|
||||
| tanko | .122 | **hardcoded in config.yaml** (runs as user jerome, not systemd) | TANKO_LITELLM_API_KEY | ⚠️ TODO: migrate to user-scope wrapper |
|
||||
>>>>>>> origin/master
|
||||
| Agent | Host | Pattern | Keys | Status |
|
||||
|-------|------|---------|------|--------|
|
||||
| abiba | .24 | pi agent wrapper | ABIBA_LITELLM_API_KEY + ABIBA_ZULIP_API_KEY | ✅ vault-backed |
|
||||
| mumuni | .123 | systemd drop-in + while-true wrapper + st.8e848433 | MUMUNI_LITELLM_API_KEY + MUMUNI_ZULIP_API_KEY | ✅ vault-backed + .env fallback |
|
||||
| tanko | .122 | systemd drop-in + while-true wrapper + st.8e848433 (user jerome) | TANKO_LITELLM_API_KEY + TANKO_ZULIP_API_KEY | ✅ vault-backed + .env fallback |
|
||||
| koby | .129 | systemd drop-in + while-true wrapper + st.8e848433 | KOBY_LITELLM_API_KEY, shares TANKO_ZULIP_API_KEY (tanko-bot) | ✅ vault-backed |
|
||||
| koonimo | .114 | systemd drop-in + while-true wrapper + st.8e848433 | KOONIMO_LITELLM_API_KEY + KOONIMO_ZULIP_API_KEY | ✅ vault-backed |
|
||||
|
||||
### Tanko migration (pending)
|
||||
> Tanko runs as user `jerome` — wrapper/token at `~/.hermes/infisical-gateway.sh` and
|
||||
> `~/.infisical-token`. Linger enabled (`loginctl enable-linger jerome`) for boot startup.
|
||||
|
||||
Tanko 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.
|
||||
### Tanko migration (COMPLETED 2026-07-17)
|
||||
|
||||
### Koby migration lessons (2026-07-16)
|
||||
Tanko was the last agent migrated from hardcoded keys to vault wrapper.
|
||||
Previously: key hardcoded in `/home/jerome/.hermes/config.yaml` (`api_key: sk-CggiHWlamQy…`)
|
||||
and `zulip-env.conf` systemd drop-in. Now: user-scope systemd service with drop-in
|
||||
`50-vault-wrapper.conf`, `infisical-gateway.sh` wrapper with while-true loop, token at
|
||||
`~/.infisical-token`, `.env` fallback at `~/.hermes/.env`. Keys injected live from vault.
|
||||
|
||||
### Koby migration lessons (2026-07-16, updated 2026-07-17)
|
||||
|
||||
Migrated Koby from hardcoded systemd drop-in → `infisical-gateway.sh` wrapper.
|
||||
**Two mistakes I made that broke the agent:**
|
||||
**Three mistakes made:**
|
||||
1. **Overwrote `/root/.hermes/.env`** without backing it up. The Zulip API key only existed
|
||||
in the running process memory — the old .env was minimal (just LiteLLM key). Zulip creds were
|
||||
inherited from the pre-migration gateway env, not stored in any file. Lost on restart.
|
||||
2. **Only injected `LITELLM_API_KEY`** in the wrapper — forgot Zulip + Telegram credentials.
|
||||
Agents need ALL their platform env vars. Missing vars cause silent adapter failures.
|
||||
3. (2026-07-17 fix) **VENV variable in single-quoted bash -c**: `exec "$VENV/bin/python"`
|
||||
inside single quotes resolved to `exec "/bin/python"` (file not found). Hardcoded full path.
|
||||
|
||||
**How Koby actually connects (2026-07-16):**
|
||||
**How Koby actually connects:**
|
||||
- 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.
|
||||
- Telegram: token from `.env` fallback. Allowed users: 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.
|
||||
**Golden rules for gateway restarts:**
|
||||
1. Always `cat /proc/<pid>/environ` before killing the old process — captures the live env set.
|
||||
2. Hardcode venv python path in wrapper — never use variables inside single-quoted bash -c.
|
||||
3. Use systemd drop-ins (not unit file edits) to override ExecStart — survives Hermes updates.
|
||||
|
||||
### Fleet-wide standardization lessons (2026-07-17)
|
||||
|
||||
After auditing all 4 agents, five systemic patterns caused repeated failures:
|
||||
1. **Three incompatible startup patterns** coexisted (systemd drop-in, direct python, orphaned wrapper)
|
||||
2. **Systemd unit files reverted** by `hermes gateway install` during updates
|
||||
3. **VENV variable scoping** broke wrappers on Koby and Mumuni (single-quote bash -c)
|
||||
4. **Service token expiry** — Tanko's `st.353699cd` was deleted from Infisical
|
||||
5. **No ZULIP_API_KEY** in env on Tanko — wrapper bypassed by systemd direct python
|
||||
|
||||
All resolved by the canonical drop-in + while-true wrapper pattern documented above.
|
||||
|
||||
### Key rotation procedure (one vault operation with this standard)
|
||||
|
||||
@@ -165,69 +235,41 @@ injection mechanisms.
|
||||
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)
|
||||
## Machine Identity for Vault Writes (UPDATED 2026-07-17)
|
||||
|
||||
**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.
|
||||
**Current state:** Infisical CLI updated to v0.43.109 on all agents (from v0.38.0).
|
||||
The v0.38.0 bug (user-session auth fails for `secrets set`/`export`) is resolved.
|
||||
Service token `st.8e848433…` (abiba, READ+WRITE) can write to vault from CLI.
|
||||
|
||||
**Proper fix — 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 ...
|
||||
```
|
||||
<<<<<<< HEAD
|
||||
**2026-07-16 UPDATE — vault SYNCED + CLEANED.** The abiba service token (`st.8e848433…`, READ+WRITE)
|
||||
can write to the vault. All session-13 rotated keys in vault and validate 200 against LiteLLM.
|
||||
4 stale secrets deprecated, 5 personal creds flagged for separate project. Tanko migrated from
|
||||
hardcoded keys to `infisical-gateway.sh` wrapper. Koonimo Zulip key restored.
|
||||
**Proper fix — per-agent Machine Identities:**
|
||||
Create machine identities in Infisical UI → Project Settings → Machine Identities
|
||||
for each agent with READ-only scope on the `agents` project. Store client_id +
|
||||
client_secret per agent. Then vault writes use the shared abiba identity, and
|
||||
reads use per-agent identities. This eliminates the single shared token risk.
|
||||
|
||||
**Machine Identity:** `8ddb9438-74fc-4ab6-bd74-929e7c47b53b` exists in Infisical UI.
|
||||
Client secret needed to use universal auth for vault writes from automation.
|
||||
**Service Token Inventory (2026-07-17):**
|
||||
| Token ID | Name | Permissions | Used By | Status |
|
||||
|----------|------|-------------|---------|--------|
|
||||
| `st.8e848433…` | tanko-gateway | READ+WRITE | Mumuni, Tanko, Koby, Koonimo, Abiba | ✅ Active |
|
||||
| `st.353699cd…` | tanko-agent | READ-only | — | ❌ Deleted from Infisical |
|
||||
|
||||
**Service Token Inventory (2026-07-16):**
|
||||
| Token ID | Name | Permissions | Used By |
|
||||
|----------|------|-------------|---------|
|
||||
| `st.8e848433…` | tanko-gateway | READ+WRITE | Abiba, Koonimo |
|
||||
| `st.353699cd…` | tanko-agent | READ-only | Tanko |
|
||||
=======
|
||||
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.
|
||||
>>>>>>> origin/master
|
||||
**Per-agent .env fallback inventory (2026-07-17):**
|
||||
| Agent | .env Keys |
|
||||
|-------|-----------|
|
||||
| Mumuni | MUMUNI_LITELLM_API_KEY, MUMUNI_ZULIP_API_KEY |
|
||||
| Tanko | TANKO_LITELLM_API_KEY, TANKO_ZULIP_API_KEY |
|
||||
| Koby | (wrapper injects from vault — .env has Telegram token) |
|
||||
| Koonimo | KOONIMO_LITELLM_API_KEY, KOONIMO_ZULIP_API_KEY |
|
||||
|
||||
## Key Rotation Log
|
||||
|
||||
| Date | Agent | Action | Notes |
|
||||
|------|-------|--------|-------|
|
||||
<<<<<<< HEAD
|
||||
| 2026-07-16 | koonimo | add-zulip | Added KOONIMO_ZULIP_API_KEY to vault (Tt2bUL…). Updated wrapper to inject ZULIP_API_KEY + ZULIP_EMAIL. Restarted gateway → Zulip connected as koonimo-bot@ (bot_id=17). 3 platforms now. |
|
||||
| 2026-07-16 | tanko | migrate | Migrated from hardcoded config.yaml key to infisical-gateway.sh wrapper + service token st.353699cd… (tanko-agent). Systemd user service updated, hardcoded key drop-ins removed. Verified LITELLM_API_KEY from vault, 3 platforms connected. |
|
||||
| 2026-07-16 | vault | cleanup | 4 stale secrets deprecated: KAGENZ0_LITELLM_API_KEY, HERMES_OPENROUTER_KEY, LITELLM_API_KEY (generic duplicate), ZULIP_API_KEY (generic duplicate). 5 personal creds flagged for separate project. |
|
||||
=======
|
||||
>>>>>>> origin/master
|
||||
| 2026-07-17 | fleet | standardize | All 4 agents standardized on systemd drop-in + while-true wrapper + infisical v0.43.109. Removed conflicting zulip-env.conf + litellm-key.conf drop-ins. Added .env fallbacks with ZULIP keys. WAL #1322. |
|
||||
| 2026-07-17 | tanko | fix-zulip | Added ZULIP_API_KEY to env (was missing — systemd bypassed vault). Updated wrapper from exec to while-true. Created .env fallback. Removed hardcoded zulip-env.conf drop-in. WAL #1321. |
|
||||
| 2026-07-16 | vault | cleanup | 4 stale secrets deprecated. 5 personal creds flagged. |
|
||||
| 2026-07-16 | koonimo | add-zulip | Added KOONIMO_ZULIP_API_KEY to vault. Wrapper injects ZULIP_API_KEY + ZULIP_EMAIL. 3 platforms. |
|
||||
| 2026-07-16 | tanko | migrate | Migrated from hardcoded config.yaml to infisical-gateway.sh + st.353699cd. NOTE: st.353699cd later deleted — reverted to st.8e848433 on 2026-07-17. |
|
||||
| 2026-07-16 | mumuni | rotate | Old key malformed (sk-_SWAl_Vu_, 47 chars, not LiteLLM format) → 401. Deleted old `mumuni` key (token 15cbca18…), generated fresh (alias `mumuni`, 7 models: syslog-auto, qwen3.6-27B-code, gemma-4-12b, strix-moe, gpu-dense, gpu-light, qwen3.6-35B-udq4). New key sk-OzuWsoX2… written to /root/.hermes/.env (Rule 3/13 fallback). Vault sync PENDING (needs machine identity). WAL #1300. |
|
||||
| 2026-07-16 | koby | rotate | Old key sk-6sbCNjz (401, stale in /etc/environment). Deleted old `koby` key, generated fresh (alias `koby`). New key sk-BqRRMboTI… in systemd drop-in `hermes-gateway.service.d/litellm-key.conf` + /etc/environment. Created `hermes-gateway.service` unit (was missing — gateway wasn't persistent) with `--replace`. Verified HTTP 200, Telegram connected. |
|
||||
| 2026-07-16 | baggy (koonimo) | rotate | Old key sk-krnw_zGB (401, hardcoded in systemd drop-in). Deleted old `baggy` key, generated fresh (alias `baggy`, metadata agent=koonimo). New key sk-OEK7z26n6E… in drop-in `hermes-gateway.service.d/litellm-key.conf`. CT113 IP changed .113→.114. Verified HTTP 200, Zulip connected. |
|
||||
|
||||
Reference in New Issue
Block a user