Merge branch 'master' into fm/mumuni-recovery-hwepve

Merge: PR #26 conflict resolution — hwepve 6th node + qwen model ref
merge: resolve PR #26 conflict — keep qwen model ref + add hwepve node
2026-07-23 18:11:06 +00:00 · 2026-07-23 18:10:36 +00:00 · 2026-07-23 18:10:18 +00:00 · 2026-07-23 09:13:06 +00:00 · 2026-07-23 09:10:43 +00:00 · 2026-07-23 09:04:51 +00:00
14 changed files with 77 additions and 71 deletions
@@ -10,9 +10,8 @@ description: >
  Strix Halo: strix-moe → unsloth/Qwen3.6-35B-A3B-MTP (UD-Q4_K_M, 22GB).
  RTX 5070: gemma-4-12b Q4_K_M → IQ4_NL + MTP draft (122 tok/s, 2x faster).
  UPDATED 2026-07-17: Context reduced fleet-wide from 256K to 128K for stability.
-  Strix Halo model swapped to Genesis Hermes V3 APEX (LuffyTheFox, 24GB, uncensored,
+  Strix Halo model swapped to qwen3.6-35B-udq4 (22GB, strix-moe alias).
-  Hermes agent fine-tune, tensor repair, multimodal with mmproj).
+  Instability observed near 100K at 256K (now all GPUs at 128K). 128K is the stable ceiling.
  Instability observed near 100K at 256K. 128K is the stable ceiling.
  For larger context needs → fall back to external providers (deepseek).
  VRAM headroom improved: RTX 3090 ~70%, RTX 5070 ~65%.
 agent: abiba
@@ -99,7 +98,7 @@ but are deprecated for agent configs. Only the stable aliases survive model swap
 |-------|-----|------|------|-----|----------|----------|-------------|--------|
 | qwen3.6-27B-code (MTP) | RTX 3090 | .8 (llm-gpu) | ~17/24.6GB (70%) | **128K** | turbo4 | 2 | default | ✅ 63 tok/s |
 | gemma-4-12b | RTX 5070 | .110 (ocu-llm) | ~7.8/12.2GB (65%) | 128K | q4_0 | 2 | 2048/1024 | ✅ healthy |
-| Genesis Hermes V3 APEX | Strix Halo Vulkan | .15 (amdpve) | ~10GB/64GB | 128K | q4_0 | 1 | 4096/1024 | ✅ 65 tok/s |
+| qwen3.6-35B-udq4 | Strix Halo Vulkan | .15 (amdpve) | ~22GB/64GB | 128K | q4_0 | 1 | 4096/1024 | ✅ 65 tok/s |
 ## Routing Configuration (LiteLLM — July 2026)
@@ -108,7 +107,7 @@ but are deprecated for agent configs. Only the stable aliases survive model swap
 | Model | GPU | Weight | RPM Cap | Timeout |
 |-------|-----|--------|---------|---------|
 | qwen3.6-27B-code | RTX 3090 (.8:8080) | **0.55** | 500 | **300s** |
-| Genesis Hermes V3 APEX | Strix Halo (.15:8080) | **0.30** | 60 | **300s** |
+| qwen3.6-35B-udq4 | Strix Halo (.15:8080) | **0.30** | 60 | **300s** |
 | gemma-4-12b | RTX 5070 (.110:8080) | **0.15** | 200 | **120s** |
 Note: All syslog-auto entries route directly to GPUs with `api_key: not-needed`. The router (port 9000) is NOT in the inference path.
@@ -117,7 +116,7 @@ Note: All syslog-auto entries route directly to GPUs with `api_key: not-needed`.
 | Model | RPM Cap | Notes |
 |-------|---------|-------|
-| strix-moe (Hermes V3) | 40 | Tight cap — prevents Strix overload |
+| strix-moe (qwen3.6-35B-udq4) | 40 | Tight cap — prevents Strix overload |
 | qwen3.6-27B-code | 500 | High cap — primary workhorse |
 | gemma-4-12b | 500 | High cap — IQ4_NL+MTP, 122 tok/s |
@@ -252,7 +251,7 @@ If no SSH access, send Zulip DM via abiba-bot with vault update instructions.
 - **RTX 3090 config**: `-c 131072 -ctk turbo4 -ctv turbo4 --parallel 2 --flash-attn on --cont-batching --spec-type draft-mtp`. Context reduced to 128K (2026-07-17, was 256K). VRAM: ~70%. Service: `/home/llmuser/llama-wrapper.sh`.
 - **RTX 5070 config (2026-07-15)**: Switched to IQ4_NL + MTP draft (Q8_0) at 128K context. Gen speed: 122 tok/s. VRAM: ~7.8/12.2GB (~65%). 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 131072`.
 - **LiteLLM timeout tuning (verified 2026-07-16 against `/opt/inference-harness/litellm_config.yaml` on CT 116)**: gemma-4-12b 120s, qwen3.6-27B-code 300s, qwen3.6-35B-udq4 300s, strix-moe 300s, syslog-auto routes all 300s. Nginx proxy_read_timeout: 600s. Global request_timeout: 300s.
- **Strix Halo GPU**: Vulkan is the working backend (ROCm/HIP path abandoned — HSA runtime blocked on Debian 13). Build at `/root/llama.cpp/build-vk/`, commit `4fc4ec5` (2026-07-01), ggml 0.15.3 shared-lib arch. Mesa RADV 25.0.7, KHR_coopmat fast path active. ~70 tok/s gen, 532 tok/s prompt. Service: `strix-server.service` on port 8080, 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).
+- **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: `qwen3.6-35B-udq4`, alias `strix-moe`, 128K context, flash-attn + q4 KV, multimodal (mmproj loaded).
 - **Port conflict detection (2026-07-05)**: All 3 GPU wrappers now detect ghost processes squatting port 8080 before starting. `.8` and `.110` use inline pre-start check in `llama-wrapper.sh`; `.15` uses `/usr/local/bin/port-cleanup.sh` ExecStartPre. Replaces the blanket `pkill -9 -x llama-server` on .15 which would kill ALL llama-server instances regardless of port. Ghost detection was the root cause of .8 crash-looping for 27+ restarts (stale pid 25836 squatting 8080 after OOM kill).
 - **Strix Halo thermal safeguard (2026-07-02)**: `strix-server.service` has `-n 8192` (hard generation cap per request). Without it, `--predict` defaults to -1 (infinity) — a runaway request from .123 (Mumuni) decoded 39,868 tokens over 24 min, pushing Tctl to 98°C (crit 89.8°C) and throttling 70→29 t/s. The cap bounds worst-case generation to ~5 min. Do NOT remove `-n` without a replacement ceiling. Sustained load hits ~84°C even at 92s; the APU is fanless/low-flow. Clients MUST also set `max_tokens`.
 - **Port 8080 firewall**: amdpve iptables restricts 8080 to 192.168.68.116 (LiteLLM/router host) only. All inbound connections are from .116 (LiteLLM proxied via nginx). Localhost curls hang (SYN dropped). Always test from .116.
@@ -268,9 +267,9 @@ If no SSH access, send Zulip DM via abiba-bot with vault update instructions.
 |-----|-------|-----------|--------------|----------|---------|
 | RTX 3090 (.8) | qwen3.6-27B-code (MTP) | **63** | — | — | **128K** |
 | RTX 5070 (.110) | gemma-4-12b (IQ4_NL+MTP) | **191** | — | — | **128K** |
-| Strix Halo (.15) | Genesis Hermes V3 APEX | **65** | 140 | — | **128K** |
+| Strix Halo (.15) | qwen3.6-35B-udq4 | **65** | 140 | — | **128K** |
-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.
+Benchmarks from 2026-07-17. Strix Halo model: qwen3.6-35B-udq4. RTX 5070 MTP provides 2.7x speedup over pre-upgrade 70 tok/s.
 All 3 GPUs now at 128K context (2026-07-17, reduced from 256K for stability).
 Benchmarks run through LiteLLM proxy (192.168.68.116:4001) every 5 minutes.
@@ -316,7 +315,7 @@ Mumuni (CT114, 192.168.68.123) is the primary business assistant. This profile i
 | `compression.protect_last_n` | 40 | Preserves last 40 messages |
 | `memory.memory_char_limit` | 800 | Brief memory entries |
 | `personalities` | `creative` | Creative assistant personality |
-| Platforms | cli, discord, homeassistant, signal, telegram, zulip | All Hermes platforms |
+| Platforms | cli, homeassistant, signal, telegram, zulip | All Hermes platforms |
 | Main model timeout | 300s | LiteLLM global timeout |
 | Compression model timeout | 300s | strix-moe timeout increased from 120s |
@@ -47,7 +47,7 @@ poll .15:8080 directly; must go through router on .116.
 | Router (unified) | `http://192.168.68.116/health/unified` | 15s | models, CB, scores, GPU status |
 | Router (basic) | `http://192.168.68.116/health` | 15s | basic aliveness |
 | LiteLLM | `http://192.168.68.116/litellm/health` | 15s | proxy health, model count |
-| Strix Halo | `http://192.168.68.116/health/unified` (router) | 15s | ornith status via router — cannot poll .15:8080 directly (firewalled to .116 only) |
+| Strix Halo | `http://192.168.68.116/health/unified` (router) | 15s | Strix Halo status via router — cannot poll .15:8080 directly (firewalled to .116 only) |
 | Dashboard | `http://192.168.68.116/dashboard/` | 15s | harness-dashboard aliveness |
 ### Alert Delivery
@@ -46,7 +46,7 @@ depends_on:
 |-------|-----|------|-------|------|-----|-------|------|
 | `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 |
+| `strix-moe` | Strix Halo 64GB | ct15 (.15:8080) | qwen3.6-35B-udq4 | ~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.
@@ -143,7 +143,7 @@ Key notes:
 - **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%)
+  - Strix Halo (128K ctx, qwen3.6-35B-udq4): 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
@@ -5,7 +5,7 @@ version: 1.0.0
 description: >
  Canonical known-good baseline for all Syslog Hermes agents. Captures the exact
  configuration state, keys, workarounds, and audit procedure. When an agent's
-  configuration goes sideways, restore from this baseline. Last verified 2026-07-16. All GPUs 256K context (RTX 3090 .8, RTX 5070 .110, Strix Halo .15). Parallel 1 fleet-wide (Strix Halo handles compression solo).
+  configuration goes sideways, restore from this baseline. Last verified 2026-07-16. All GPUs 128K context (reduced from 256K for stability Jul 2026) (RTX 3090 .8, RTX 5070 .110, Strix Halo .15). Parallel 1 fleet-wide (Strix Halo handles compression solo).
 author: Abiba (pi agent)
 ---
@@ -25,7 +25,7 @@ done
 | Agent | CT | Node | IP | LiteLLM Alias | Key Source | Platform |
 |-------|-----|------|-----|---------------|------------|----------|
 | Tanko | 112 | amdpve | .122 | `tanko` | Infisical vault | Hermes |
-| Mumuni | 114 | minipve | .123 | `mumuni` | Infisical vault | Hermes |
+| Mumuni | 114 | hwepve | .123 | `mumuni` | Infisical vault | Hermes |
 | Koby | 129 | amdpve | srv1079750 | `koby` | Infisical vault | **Hermes** |
 | Koonimo | 114 | amdpve | ? | `koonimo` | Infisical vault | Hermes |
 | Shumba | — | 192.168.68.119 | N/A | N/A (DeepSeek) | Hermes (RETIRED — CT119 now Infisical vault) |
@@ -5,11 +5,14 @@ description: >
  Standard Hermes configuration template for Syslog Solution LLC agents.
  Enforces shared infrastructure setup (Firecrawl, SearXNG, local models,
  RA-H OS MCP) while keeping agent-specific API keys and model choices.
-  UPDATED 2026-07-16: Compression model is the stable alias `strix-moe` (NOT `ornith-1.0-35b`,
+  UPDATED 2026-07-18: Compression model switched to `syslog-auto` (was `strix-moe`)
  to relieve Strix Halo pressure. syslog-auto distributes compression across the
  weighted pool (55% RTX 3090, 30% Strix Halo, 15% RTX 5070).
  UPDATED 2026-07-16: Compression model was the stable alias `strix-moe` (NOT `ornith-1.0-35b`,
  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 128K. Infisical .env fallback required (Rule 3/13).
+  UPDATED 2026-07-12: GPU workload redistributed. Compression → Strix Halo (later switched to syslog-auto 2026-07-18). RTX 3090 context verified at 128K. Infisical .env fallback required (Rule 3/13).
 ---
 ## Maintains
@@ -130,7 +133,9 @@ mcp_servers:
 # ─── Compression ───
 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).
+  model: syslog-auto              # ⚠️ Switched from strix-moe 2026-07-18 to relieve Strix Halo.
                                  # syslog-auto distributes across weighted pool (55% RTX 3090,
                                  # 30% Strix Halo, 15% RTX 5070). All GPUs at 128K.
  provider: harness
  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
@@ -145,8 +150,9 @@ compression:
 #   model: gpu-light                 # stable alias (NOT raw "gemma-4-12b")
 #   base_url: http://192.168.68.116/v1
 #   api_key_env: LITELLM_API_KEY
-# Do NOT use syslog-auto for auxiliary tasks — it routes to the primary GPU.
+# Compression uses syslog-auto (switched from strix-moe 2026-07-18) to distribute
-# gpu-light = RTX 5070 (12B), freeing the Strix Halo for agent reasoning.
+# load across the weighted pool and relieve Strix Halo pressure.
 # Vision and web_extract use gpu-light = RTX 5070 (12B).
 # Heavy aux (delegation, x_search) use gpu-dense (RTX 3090) instead.
 # NEVER use raw model names (gemma-4-12b, qwen3.6-27B-code, qwen3.6-35B-udq4)
 # in agent configs — use the stable aliases so model swaps don't break agents.
@@ -166,7 +172,7 @@ auxiliary:
    timeout: 30
  compression:
    provider: harness
-    model: strix-moe              # MUST match compression.model above. Stable alias for Strix Halo.
+    model: syslog-auto             # Switched from strix-moe 2026-07-18. Relieves Strix Halo pressure.
    base_url: http://192.168.68.116/v1   # Rule 5: /v1 NOT /litellm/v1
    api_key_env: LITELLM_API_KEY
    timeout: 300                 # gpu-fleet: 300s for large-history summarization (was 60)
@@ -247,29 +253,30 @@ The following MUST be identical across ALL profiles:
 - Apply to BOTH main config AND all sub-agent profiles
 - For agents needing longer outputs: raise to 8192, but never omit
-### Rule 7: Auxiliary Model Consistency (UPDATED 2026-07-16)
+### Rule 7: Auxiliary Model Consistency (UPDATED 2026-07-18)
- Vision and web_extract use `gemma-4-12b` (RTX 5070 — 12GB, vision-optimized)
+- Vision and web_extract use `gpu-light` (stable alias, RTX 5070 — 12GB, vision-optimized)
- Compression uses `strix-moe` (stable alias for Strix Halo — 64GB, 128K ctx, compression-optimized)
+- Compression now uses `syslog-auto` (switched from `strix-moe` 2026-07-18) to distribute
- **`strix-moe` is the only valid compression model name** — LiteLLM does NOT serve `ornith-1.0-35b`
+  compression load across the weighted pool (55% RTX 3090, 30% Strix Halo, 15% RTX 5070).
-  (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.
+  This relieves Strix Halo pressure while keeping compression functional on all GPUs.
 - **`syslog-auto` is the valid compression model** — LiteLLM serves it as the weighted pool.
  Old configs with `strix-moe` for compression should be updated to `syslog-auto`.
 - All auxiliary services MUST use identical routing:
  - `base_url: http://192.168.68.116/v1`  (Rule 5: `/v1`, NOT `/litellm/v1`)
  - `api_key_env: LITELLM_API_KEY`
- **Do NOT use `syslog-auto`** for auxiliary tasks — it routes unpredictably
+- **Compression via syslog-auto**: Routes through the weighted pool. Strix Halo still handles
- **Compression on Strix Halo**: The strix-moe alias routes to Strix Halo
+  ~30% of compression calls (at 60 RPM via pool vs 40 RPM direct), but the bulk (55%)
-  (64GB UMA, 128K context) — the designated compression GPU. This frees the
+  goes to RTX 3090 which has ample spare capacity.
  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: 131072` MUST match actual GPU capacity (128K)
-### Rule 8: GPU Workload Distribution (UPDATED 2026-07-16)
+### Rule 8: GPU Workload Distribution (UPDATED 2026-07-18)
- **RTX 3090 (24GB, 128K ctx, qwen3.6-27B-code)**: Heavy reasoning, code gen, long conversations
+- **RTX 3090 (24GB, 128K ctx, qwen3.6-27B-code)**: Heavy reasoning, code gen, long conversations — also handles ~55% of compression via syslog-auto pool
- **RTX 5070 (12GB, 128K ctx, gemma-4-12b)**: Vision, web search, quick tasks, web_extract (IQ4_NL+MTP, ~65% VRAM at 128K)
+- **RTX 5070 (12GB, 128K ctx, gemma-4-12b)**: Vision, web search, quick tasks, web_extract — handles ~15% of compression via syslog-auto pool
- **Strix Halo (64GB, 128K ctx, strix-moe)**: Context compression, summarization, long docs
+- **Strix Halo (64GB, 128K ctx, qwen3.6-35B-udq4)**: Agent reasoning, compression (~30% via syslog-auto pool), fallback for other GPUs
 - Agent profiles MUST route auxiliary tasks to the correct GPU:
-  - `auxiliary.vision.model: gemma-4-12b` (RTX 5070)
+  - `auxiliary.vision.model: gpu-light` (RTX 5070)
-  - `auxiliary.web_extract.model: gemma-4-12b` (RTX 5070)
+  - `auxiliary.web_extract.model: gpu-light` (RTX 5070)
-  - `auxiliary.compression.model: strix-moe` (Strix Halo)
+  - `auxiliary.compression.model: syslog-auto` (distributed pool, switched from strix-moe 2026-07-18)
 - Default model (`model.default`) and custom_provider remain `syslog-auto` for auto-routing
 - 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
@@ -51,7 +51,7 @@ gateway restart, and connection validation.
 | Host | CT | Proxmox | IP (direct) | Hermes Home | User |
 |------|-----|---------|-------------|-------------|------|
-| Mumuni | CT114 | — | 192.168.68.123 | /root/.hermes | root |
+| Mumuni | CT114 | hwepve | 192.168.68.123 | /root/.hermes | root |
 | Tanko | CT112 | amdpve | 192.168.68.122 | /home/jerome/.hermes | jerome |
 | Koby | CT111 | amdpve | 192.168.68.129 | /root/.hermes | root |
 | Shumba | — | — | 192.168.68.119 | /home/lucky/.hermes | lucky |
@@ -22,14 +22,14 @@ management, and prompt caching — without sacrificing agent capability.
 - `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,
+- `gpu-health`: health check response from all 3 GPU backends (strix-moe .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.
+inference calls.
 #### liteLLM-routing
 The syslog-auto routing weights, model-specific timeouts, RPM limits, and
@@ -53,18 +53,17 @@ duration.
 ### Strategies
-**Context is the root cause.** Every ~46K prompt token costs ~87s of ornith
+**Context is the root cause.** Every ~46K prompt token costs ~87s of
 prefill time at 532 tok/s. Fix context first, routing second.
- **Route by task**: ornith for multi-step reasoning only; qwen for code/standard
+- **Route by task**: qwen for code/standard queries; gemma for
-  queries; gemma for compression/auxiliary. Never send simple completion to a
+  compression/auxiliary; strix-moe for compression tasks.
-  35B MoE.
+- **Compress aggressively**: threshold at 40% (not 65%) — a 128K window should
- **Compress aggressively**: threshold at 40% (not 65%) — a 256K window should
+  compact at 51K, not 85K. Target 15% tail (not 30%).
  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.
+  GPUs reduced from 256K to 128K (2026-07-17). 128K window should compact at 85K (0.65 threshold). For larger contexts, route to external providers.
 ### Shape
@@ -100,5 +99,5 @@ call enable-prompt-caching
 call verify-latency
  host: 192.168.68.116
-  models: [syslog-auto, qwen3.6-27B-code, gemma-4-12b, ornith-1.0-35b]
+  models: [syslog-auto, qwen3.6-27B-code, gemma-4-12b]
 ```
@@ -199,7 +199,7 @@ description: >
 **Prometheus targets**:
 - 192.168.68.8:9400 (RTX 3090 — qwen)
 - 192.168.68.110:9400 (RTX 5070 — gemma)
- 192.168.68.15:9400 (Strix Halo — ornith)
+- 192.168.68.15:9400 (Strix Halo — qwen3.6-35B-udq4)
 - 192.168.68.24:9401 (Router metrics exporter)
 - harness-litellm:4000 (LiteLLM health)
@@ -67,7 +67,7 @@ Before ANY update wave:
 - All VMs/CTs running: check via Proxmox API
 - LiteLLM healthy: `curl localhost:4000/health/liveliness` (via CT 116)
 - LiteLLM MCP tools: `curl localhost:4000/mcp-rest/tools/list -H "Authorization: Bearer $MASTER_KEY"` → 90 tools
- GPU servers responding: check :8080 on VM 101, VM 103; check ornith via router (http://192.168.68.116/health/unified — .15:8080 is firewalled to .116 only)
+- GPU servers responding: check :8080 on VM 101, VM 103; check strix-moe via router (http://192.168.68.116/health/unified — .15:8080 is firewalled to .116 only)
 - Zulip agents connected: check Mumuni/Tanko gateway state
 - Abiba PM2 processes online: `pm2 status`
@@ -124,7 +124,7 @@ Before Wave 1, snapshot these files:
 /opt/home_stack/docker-compose.yml                      (VM 109 .7)
 /opt/audiobookshelf/docker-compose.yml                  (VM 109 .7)
 /root/.pi/agent/extensions/config.yaml                  (CT 100 .24)
-/etc/systemd/system/ornith-server.service               (amdpve .15)
+/etc/systemd/system/ornith-server.service               (amdpve .15 — strix-moe)
 /etc/systemd/system/llama-server.service                (VM 101 .8, VM 103 .110)
 # Hermes agent configs (key enforcement — 2026-07-10)
 /root/.hermes/config.yaml                               (Mumuni CT 114, Tanko CT 112, etc.)
@@ -42,7 +42,7 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
 **What changed (v3.2.0 → v4.0.0 — 2026-07-08)**:
 - Router REMOVED from request path — LiteLLM proxies directly to GPU
 - All GPUs at parallel 2 (was parallel 1)
- NVIDIA context reduced 256K→128K to free VRAM  (SUPERSEDED 2026-07-16: all GPUs back to 256K — see litellm-self-heal)
+- NVIDIA context reduced 256K→128K to free VRAM — now the stable ceiling across all GPUs (2026-07-17)
 - LiteLLM timeouts tuned: gemma 25→120s, qwen 40→90s  (SUPERSEDED 2026-07-16: qwen 300s, gemma 120s, strix 300s — see litellm-self-heal)
 - nginx proxy_read_timeout: 600s, LiteLLM request_timeout: 300s
@@ -72,9 +72,9 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
 | Host | IP | Hardware | Models Served | Engine | Context | Parallel |
 |------|-----|----------|---------------|--------|---------|----------|
-| llm-gpu | 192.168.68.8 | NVIDIA RTX 3090 (24 GB) | qwen3.6-27B-code | llama-server systemd | **256K** | 2 |
+| llm-gpu | 192.168.68.8 | NVIDIA RTX 3090 (24 GB) | qwen3.6-27B-code | llama-server systemd | **128K** | 2 |
-| ocu-llm | 192.168.68.110 | NVIDIA RTX 5070 (12 GB) | gemma-4-12b | llama-server systemd | **256K** | 2 |
+| ocu-llm | 192.168.68.110 | NVIDIA RTX 5070 (12 GB) | gemma-4-12b | llama-server systemd | **128K** | 2 |
-| amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | qwen3.6-35B-udq4 (LiteLLM alias: strix-moe) | llama-server systemd (Vulkan) | 256K | 2 |
+| amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | qwen3.6-35B-udq4 (LiteLLM alias: strix-moe) | llama-server systemd (Vulkan) | 128K | 2 |
 ## Model Fallback Chains (LiteLLM)
@@ -57,9 +57,9 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
 | Host | IP | Hardware | Models Served | Engine | Context | Parallel |
 |------|-----|----------|---------------|--------|---------|----------|
-| llm-gpu | 192.168.68.8 | NVIDIA RTX 3090 (24 GB) | qwen3.6-27B-code | llama-server systemd (`/home/llmuser/llama-wrapper.sh`, `-c 262144 --parallel 2 --ngl 99`) | **256K** | 2 |
+| llm-gpu | 192.168.68.8 | NVIDIA RTX 3090 (24 GB) | qwen3.6-27B-code | llama-server systemd (`/home/llmuser/llama-wrapper.sh`, `-c 131072 --parallel 2 --ngl 99`) | **128K** | 2 |
-| ocu-llm | 192.168.68.110 | NVIDIA RTX 5070 (12 GB) | gemma-4-12b | llama-server systemd (`/home/llmuser/llama-wrapper.sh`, `--ctx-size 262144 --parallel 2`, IQ4_NL + MTP draft) | **256K** | 2 |
+| ocu-llm | 192.168.68.110 | NVIDIA RTX 5070 (12 GB) | gemma-4-12b | llama-server systemd (`/home/llmuser/llama-wrapper.sh`, `--ctx-size 131072 --parallel 2`, IQ4_NL + MTP draft) | **128K** | 2 |
-| amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | qwen3.6-35B-udq4 (LiteLLM alias: `strix-moe`) | llama-server systemd (Vulkan) | 256K | 2 |
+| amdpve | 192.168.68.15 | AMD Strix Halo 64GB UMA | qwen3.6-35B-udq4 (LiteLLM alias: `strix-moe`) | llama-server systemd (Vulkan) | 128K | 2 |
 > Verified on ground 2026-07-16 via `curl /v1/models` on each host + `llama-wrapper.sh`. The AMD host's underlying model is `qwen3.6-35B-udq4`; LiteLLM exposes it under two `model_name`s: `qwen3.6-35B-udq4` and `strix-moe` (rpm 40). The legacy name `ornith-1.0-35b` does NOT exist in LiteLLM and must not be referenced.
@@ -101,7 +101,7 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
 ## Script Operations (synced 2026-07-16)
 - **Health-check script** (`/opt/inference-harness/scripts/litellm-health-check.sh` on CT 116): `gpu-fleet` check fails only on **critical** alerts (warnings are informational). Tests `strix-moe` (not `ornith-1.0-35b`).
- **GPU monitor** (`/root/scripts/gpu-monitor-server.py` on pi .24): runs as **systemd unit `gpu-monitor.service`** (was bare `&` process). `gpu_count` includes Strix Halo (was 2, now 3). VRAM alert thresholds: warning 93%, critical 97% (raised from 90/95 — 256K context steady-state is ~96% on RTX 3090, not a fault).
+- **GPU monitor** (`/root/scripts/gpu-monitor-server.py` on pi .24): runs as **systemd unit `gpu-monitor.service`** (was bare `&` process). `gpu_count` includes Strix Halo (was 2, now 3). VRAM alert thresholds: warning 93%, critical 97% (raised from 90/95 — 128K context steady-state is ~70% on RTX 3090, not a fault).
 - **Agent key monitor** (`/root/scripts/agent-health-check.py` on pi .24, cron `*/10`): reads each agent's **live** `LITELLM_API_KEY` from its gateway process env via SSH — never hardcodes keys (hardcoded keys rot on rotation and caused 9×401/30min). Fleet roster: abiba, tanko, mumuni, koby, koonimo (legacy `tdunna`/`baggy` removed — never existed).
 - **Stale keys cleaned**: `daily-infra-report.py` SYNTHETIC_API_KEY was stale (`sk-U_ydi3B` → 401); now reads `LITELLM_MASTER_KEY` from env. Deprecated scripts (`router-original.py`, `router-phase0-backup.py`, `apply-fixes.py`) still reference `sk-syslog-local-master-key` but do not actively poll LiteLLM.
@@ -6,7 +6,7 @@ description: >
  delegation, verification, and delivery. Defines when to delegate, which
  worker to use for what, how to handle failures, and the kanban board
  protocol. Enforces context-window discipline and separation of concerns.
-  Runs on Mumuni (CT 118, storepve, .6) via Hermes agent.
+  Runs on Mumuni (lxc/114, hwepve, .123) via Hermes agent.
 version: 1.0.0
 ---
@@ -19,8 +19,8 @@ version: 1.0.0
 ## Topology
-**Cluster:** 5 Proxmox nodes (ocupve, acerpve, minipve, amdpve, storepve)
+**Cluster:** 6 Proxmox nodes (ocupve, acerpve, minipve, amdpve, storepve, hwepve)
-**Manager:** Mumuni (CT 118, storepve, .6) via Hermes agent
+**Manager:** Mumuni (lxc/114, hwepve, .123) via Hermes agent
 **Workers:** 6 profiles, all running on the same agent — no separate hosts needed
 This contract is infrastructure-agnostic in terms of which nodes are used.
@@ -5,7 +5,7 @@ description: >
  Proxmox cluster + Docker monitoring via the existing Grafana/Prometheus stack
  on CT 116. Replaces Pulse with file-provisioned Grafana dashboards. Three
  exporters feed Prometheus: prometheus-pve-exporter (cluster-aware, single
-  instance), node_exporter (all 5 PVE nodes), and a custom docker-stats-exporter
+  instance), node_exporter (all 6 PVE nodes), and a custom docker-stats-exporter
  (Docker 29 / containerd image-store compatible, since cAdvisor cannot resolve
  the layerdb). Dashboards exposed at http://192.168.68.116:3001/ (direct LAN, not behind nginx).
 agent: abiba
@@ -33,8 +33,8 @@ agent: abiba
 | Exporter | Host:Port | Scope | Notes |
 |----------|-----------|-------|-------|
-| prometheus-pve-exporter | .116:9221 (container) | All 5 nodes + 14 guests + 36 storage pools | Single instance, cluster-aware via amdpve API. Config `/opt/monitoring/pve.yml` (token `monitoring@pve!prometheus`, PVEAuditor role). Metric schema is label-based (`id=node/amdpve`, `id=lxc/100`). |
+| prometheus-pve-exporter | .116:9221 (container) | All 6 nodes + guests + 36 storage pools | Single instance, cluster-aware via amdpve API. Config `/opt/monitoring/pve.yml` (token `monitoring@pve!prometheus`, PVEAuditor role). Metric schema is label-based (`id=node/amdpve`, `id=lxc/100`). |
-| node_exporter | .5/.6/.9/.12/.15:9100 (systemd) | Per-node CPU/mem/disk/net/temp | Installed via apt on all 5 PVE nodes, enabled (reboot-persistent). Collectors: textfile, systemd, tcpstat, ethtool. |
+| node_exporter | .5/.6/.9/.12/.15/.4:9100 (systemd) | Per-node CPU/mem/disk/net/temp | Installed via apt on all 6 PVE nodes, enabled (reboot-persistent). Collectors: textfile, systemd, tcpstat, ethtool. hwepve (.4) added 2026-07-19. |
 | docker-stats-exporter | .116:9324 (container) | 10 Docker containers on .116 | **Custom** (cAdvisor v0.51 incompatible with Docker 29 containerd image store — layerdb gone). Uses Docker Engine API over unix socket. Script `/opt/monitoring/docker-stats-exporter.py`. |
 ## PVE API Token
@@ -48,7 +48,7 @@ agent: abiba
 | UID | Title | Panels | Source |
 |-----|-------|--------|--------|
-| proxmox-cluster | Proxmox Cluster Overview | 16 | cluster status, 5-node CPU/mem/disk/load gauges, guests table, storage pools, guest CPU/mem timeseries |
+| proxmox-cluster | Proxmox Cluster Overview | 16 | cluster status, 6-node CPU/mem/disk/load gauges, guests table, storage pools, guest CPU/mem timeseries |
 | proxmox-node | Proxmox Node Detail | 13 | per-node CPU per-core, memory, network, disk IO/IOPS/latency, temperature, disk space (variable: $node) |
 | docker-containers | Docker Containers | 10 | per-container CPU/mem/network, restarts, memory limit ratio (variable: $container) |
 | gpu-fleet | GPU Fleet | 7 | (existing, preserved in DB, not provisioned) |
@@ -77,9 +77,9 @@ agent: abiba
 | `/opt/monitoring/grafana/dashboards/build-dashboards.py` | .116 | dashboard JSON generator |
 | `/opt/monitoring/grafana/dashboards/json/*.json` | .116 | provisioned dashboard definitions |
 | `/opt/monitoring/grafana/datasources/prometheus.yml` | .116 | datasource provisioning |
-| `/etc/default/prometheus-node-exporter` | .5/.6/.9/.12/.15 | node_exporter collector config |
+| `/etc/default/prometheus-node-exporter` | .5/.6/.9/.12/.15/.4 | node_exporter collector config |
-## Cluster "Tabiri" — 5 Nodes
+## Cluster "Tabiri" — 6 Nodes
 | Node | IP | Role |
 |------|----|----|
@@ -87,7 +87,8 @@ agent: abiba
 | storepve | 192.168.68.6 | PVE |
 | acerpve | 192.168.68.9 | PVE (hosts llm-gpu qemu/101) |
 | minipve | 192.168.68.12 | PVE |
-| amdpve | 192.168.68.15 | PVE + Strix Halo LLM (ornith) |
+| amdpve | 192.168.68.15 | PVE + Strix Halo LLM (qwen3.6-35B-udq4, strix-moe) |
 | hwepve | 192.168.68.4 | PVE (Huawei Matebook 16, 12C/15GB) — hosts Mumuni (lxc/114) migrated from minipve 2026-07-20 |
 ## Operations
@@ -16,7 +16,7 @@ Runs every 15 minutes in the background. Also triggers on session start.
 ## Requires
 - **Zulip API key** for `abiba-bot@chat.sysloggh.net` in `$ZULIP_API_KEY`
- **SSH access** to Tanko (192.168.68.122), Mumuni (192.168.68.123), and Agent Zero Docker host (192.168.68.14)
+- **SSH access** to Tanko (192.168.68.122), Mumuni (192.168.68.123, lxc/114 on hwepve since 2026-07-20), and Agent Zero Docker host (192.168.68.14)
 - **PM2** on localhost for pi process management
 - **Network access** to `chat.sysloggh.net`, `localhost:9200`
 - **Write access** to `/root/zulip-health-monitor.log` and `/tmp/zulip-monitor-debounce`
@@ -199,7 +199,7 @@ Check `platforms.zulip.state`: `connected` ✅ | `disconnected` ❌ | `error`
 ssh root@<CT> "ps aux | grep 'gateway run' | grep -v grep"
 ```
-Gateway PID should exist with uptime > 60s.
+Gateway PID should exist with uptime > 60s. **Dual-gateway detection**: if more than one `gateway run` process is found, the gateway has a collision (typically one `--force` and one `--replace` process). Kill the newer/duplicate process, then restart the remaining gateway via PM2 (`pm2 restart mumuni-zulip`). Check gateway log for "Gateway running with 2 platform(s)" (not 1) to confirm Zulip reloaded.
 **B3: Heartbeat Verification**
Author	SHA1	Message	Date
jerome	cedbdc465d	Merge branch 'master' into fm/mumuni-recovery-hwepve	2026-07-23 18:11:06 +00:00
abiba-bot	8b09c78efd	Merge: PR #26 conflict resolution — hwepve 6th node + qwen model ref PR Pipeline — Authorize → Validate → Review → Merge / auth (push) Successful in 2s Details PR Pipeline — Authorize → Validate → Review → Merge / validate (push) Successful in 2s Details PR Pipeline — Authorize → Validate → Review → Merge / lint (push) Successful in 2s Details PR Pipeline — Authorize → Validate → Review → Merge / ai-review (push) Successful in 1s Details PR Pipeline — Authorize → Validate → Review → Merge / gate (push) Successful in 1s Details	2026-07-23 18:10:36 +00:00
root	767ab25128	merge: resolve PR #26 conflict — keep qwen model ref + add hwepve node PR Pipeline — Authorize → Validate → Review → Merge / auth (pull_request) Successful in 4s Details PR Pipeline — Authorize → Validate → Review → Merge / validate (pull_request) Successful in 3s Details PR Pipeline — Authorize → Validate → Review → Merge / lint (pull_request) Successful in 3s Details PR Pipeline — Authorize → Validate → Review → Merge / ai-review (pull_request) Successful in 3s Details PR Pipeline — Authorize → Validate → Review → Merge / gate (pull_request) Successful in 1s Details	2026-07-23 18:10:18 +00:00
abiba-bot	75381f9737	Captain decision batch 2026-07-21: ornith decommission, 256K→128K context, Mumuni Discord disable PR Pipeline — Authorize → Validate → Review → Merge / auth (push) Successful in 1s Details PR Pipeline — Authorize → Validate → Review → Merge / validate (push) Successful in 2s Details PR Pipeline — Authorize → Validate → Review → Merge / lint (push) Successful in 2s Details PR Pipeline — Authorize → Validate → Review → Merge / ai-review (push) Successful in 1s Details PR Pipeline — Authorize → Validate → Review → Merge / gate (push) Successful in 1s Details Three contract updates per captain decision batch. Validated through no-mistakes pipeline (green).	2026-07-23 09:13:06 +00:00
root	2b9b545ca9	no-mistakes(document): Fixed 2 stale model-name references in doc files PR Pipeline — Authorize → Validate → Review → Merge / auth (pull_request) Successful in 3s Details PR Pipeline — Authorize → Validate → Review → Merge / validate (pull_request) Successful in 3s Details PR Pipeline — Authorize → Validate → Review → Merge / lint (pull_request) Successful in 3s Details PR Pipeline — Authorize → Validate → Review → Merge / ai-review (pull_request) Successful in 1s Details PR Pipeline — Authorize → Validate → Review → Merge / gate (pull_request) Successful in 1s Details	2026-07-23 09:10:43 +00:00
root	e6c52bf071	no-mistakes(review): Fix F1 model rename and F2 128K compaction math in contracts	2026-07-23 09:04:51 +00:00
root	1c44bf1259	contract updates: ornith decommissioned, 256K→128K context, Mumuni Discord disabled Change 1: Strix Halo — ornith decommissioned - gpu-fleet: Genesis Hermes V3 APEX → qwen3.6-35B-udq4 throughout - inference-optimization: ornith→strix-moe/qwen3.6-35B-udq4 - gpu-monitor: ornith status → Strix Halo status - infrastructure-control: Strix Halo — ornith → qwen3.6-35B-udq4 - infrastructure-update: ornith→strix-moe via router - proxmox-monitor: Strix Halo LLM (ornith) → (qwen3.6-35B-udq4, strix-moe) Change 2: GPU context 256K→128K fleet-wide - hermes-agent-baseline: frontmatter description updated - litellm-health: GPU Fleet Topology table 256K→128K - litellm-self-heal: GPU Fleet Topology, engine flags, VRAM alert - inference-optimization: compress threshold 256K→128K compact at 85K - gpu-fleet: instability note updated Change 3: Mumuni Discord platform disabled - gpu-fleet: Mumuni platforms: removed discord	2026-07-23 09:00:42 +00:00
root	9f0e04f22c	fix: update contracts for hwepve 6th node + Mumuni migration (lxc/114 on hwepve) PR Pipeline — Authorize → Validate → Review → Merge / auth (pull_request) Successful in 4s Details PR Pipeline — Authorize → Validate → Review → Merge / validate (pull_request) Successful in 2s Details PR Pipeline — Authorize → Validate → Review → Merge / lint (pull_request) Successful in 2s Details PR Pipeline — Authorize → Validate → Review → Merge / ai-review (pull_request) Successful in 1s Details PR Pipeline — Authorize → Validate → Review → Merge / gate (pull_request) Successful in 0s Details - proxmox-monitor: 5→6 nodes, add hwepve (.4, Huawei Matebook 16), note Mumuni (lxc/114) placement - zulip-health: add dual-gateway collision detection to B2, note Mumuni on hwepve - hermes-agent-baseline: fix Mumuni node minipve→hwepve - hermes-zulip-restore: add hwepve Proxmox column for Mumuni - mumuni-delegation: fix CT 118/storepve/.6 → lxc/114/hwepve/.123, 5→6 nodes - pm2-self-heal: verified — no Mumuni references, no changes needed Post-migration discoveries: - Mumuni container migrated from minipve to hwepve (6th node, 192.168.68.4) - IP preserved (192.168.68.123), hostname 'mumuni' unchanged - Dual gateway collision (PID 1442 --replace + PID 2924 --force) resolved by container restart at 10:07; gateway restarted clean at 13:06 with fresh Zulip queue (errors=0, reconnects=0)	2026-07-20 17:08:58 +00:00
jerome	fc88265e76	Merge pull request 'tune: switch compression model from strix-moe to syslog-auto' (#25 ) from tune/compression-syslog-auto into master PR Pipeline — Authorize → Validate → Review → Merge / auth (push) Successful in 2s Details PR Pipeline — Authorize → Validate → Review → Merge / validate (push) Successful in 3s Details PR Pipeline — Authorize → Validate → Review → Merge / lint (push) Successful in 2s Details PR Pipeline — Authorize → Validate → Review → Merge / ai-review (push) Successful in 3s Details PR Pipeline — Authorize → Validate → Review → Merge / gate (push) Successful in 0s Details Reviewed-on: #25	2026-07-19 01:32:44 +00:00
jerome	51da19d92d	Merge pull request 'feat(contracts): add infrastructure-maintenance contract' (#24 ) from fm/infra-maint-contract into master PR Pipeline — Authorize → Validate → Review → Merge / auth (push) Successful in 4s Details PR Pipeline — Authorize → Validate → Review → Merge / validate (push) Successful in 2s Details PR Pipeline — Authorize → Validate → Review → Merge / lint (push) Successful in 1s Details PR Pipeline — Authorize → Validate → Review → Merge / ai-review (push) Successful in 2s Details PR Pipeline — Authorize → Validate → Review → Merge / gate (push) Successful in 0s Details Reviewed-on: #24	2026-07-19 01:32:29 +00:00
root	6570fd60e7	tune: switch compression model from strix-moe to syslog-auto PR Pipeline — Authorize → Validate → Review → Merge / auth (pull_request) Successful in 5s Details PR Pipeline — Authorize → Validate → Review → Merge / validate (pull_request) Successful in 3s Details PR Pipeline — Authorize → Validate → Review → Merge / lint (pull_request) Successful in 3s Details PR Pipeline — Authorize → Validate → Review → Merge / ai-review (pull_request) Successful in 1s Details PR Pipeline — Authorize → Validate → Review → Merge / gate (pull_request) Successful in 0s Details Relieve Strix Halo pressure by distributing compression across the syslog-auto weighted pool (55% RTX 3090, 30% Strix Halo, 15% RTX 5070). Updates: - compression.model: strix-moe -> syslog-auto - auxiliary.compression.model: strix-moe -> syslog-auto - Rule 7: Updated for syslog-auto compression, removed aux prohibition - Rule 8: Updated GPU workload distribution - All docs/comments updated to reflect the change	2026-07-18 23:28:07 +00:00