fix(hermes): wire all three contracts to reachability helper

The helper was correct but dead code - nothing called it. This commit:
1. Makes the helper runnable standalone: scripts/hermes-reachability-check.sh <host> <pattern> <path>
2. Wires all THREE contracts to it:
   - hermes-key-enforcement.prose.md
   - hermes-config-template.prose.md
   - hermes-agent-baseline.prose.md
3. Each contract now explicitly instructs to run the helper and interpret the three outcomes
4. States that the bug this replaces was deriving reachability from the remote grep's exit code

Files changed (4):
- scripts/hermes-reachability-check.sh (standalone mode added)
- hermes-key-enforcement.prose.md (reachability section added)
- hermes-config-template.prose.md (reachability section added)
- hermes-agent-baseline.prose.md (reachability section added)

README.md

@@ -88,7 +88,7 @@ prose run memory-audit-maintenance memory_threshold=90 verify_configs=true
 prose run hermes-config-template agent_name=syslog-devops default_model=claude-sonnet-4
 
 # Configure an agent with a different auxiliary model
-prose run hermes-config-template agent_name=syslog-code default_model=qwen3.6-27B-code auxiliary_model=gpu-vision
+prose run hermes-config-template agent_name=syslog-code default_model=gpu-dense auxiliary_model=gpu-vision
 ```
 
 ### Option B: Manual Execution

abiba-zulip-restore.prose.md

@@ -34,7 +34,7 @@ verification, and DM loopback testing.
 | @all-bots user ID | 20 | ✅ (config, verified by API at runtime) |
 | PM2 process name | abiba-zulip | ✅ |
 | Provider | syslog-harness (http://192.168.68.116/v1) | ✅ |
-| Default model | deepseek-v4-pro | ✅ (settings.json) |
+| Default model | syslog-auto | ✅ (settings.json) |
 
 ## Architecture
 

audit-hermes-config.py

@@ -163,7 +163,7 @@ def audit(path):
     check(
         comp.get("max_context_window") == 131072,
         "Rule 9",
-        f"compression.max_context_window must be 131072 (got {comp.get('max_context_window')!r}) — matches 128K GPU capacity",
+        f"compression.max_context_window must be 131072 (got {comp.get('max_context_window')!r}) — syslog-auto pool floor (NVIDIA hosts 128K; Strix Halo 256K)",
     )
 
     # --- Rule 10: Default Model Must Be syslog-auto ---
@@ -245,11 +245,10 @@ def audit(path):
         "gemma-4-12b": "gpu-vision",
         "crew-auto": "syslog-auto (its 64K cap is retired; no cap in force)",
         "ornith-1.0-35b": "strix-moe",
-    }
-    raw_but_live = {
         "qwen3.6-27B-code": "gpu-dense",
         "qwen3.6-35B-udq4": "strix-moe",
     }
+    raw_but_live = {}
     for field_path, value in _iter_model_values(cfg):
         if value in non_resolving:
             check(

disk-gc-threat-response.prose.md

@@ -357,3 +357,4 @@ one-off GPU builds. No automated post-migration cleanup was in place.
 > container has no `pct` binary.
 >
 > **KVM VM:** CT 109 (docker-vm) is a QEMU VM, not LXC — access via SSH .7.
+> **NOTE:** For kagentz (CT 105), use `ssh root@kagentz` (hostname), NOT `pct exec 105` — `pct exec 105` shows loop0 (59G) while `ssh root@kagentz` shows the real filesystem (99G). For docker-vm (CT 109), use `ssh root@192.168.68.7`, not `pct exec`.

gpu-fleet.prose.md

@@ -8,12 +8,12 @@ description: >
   UPDATED 2026-07-15: Stable role-based aliases introduced: strix-moe,
   gpu-dense, gpu-vision (gpu-light was superseded by gpu-vision on 2026-09-12).
   These never change — only the underlying model does.
-  Strix Halo: strix-moe → unsloth/Qwen3.6-35B-A3B-MTP (UD-Q4_K_M, 22GB).
+  Strix Halo: strix-moe → Carnice-Qwen3.6-MoE-35B-A3B-Q4_K_M.gguf (22GB, 256K ctx).
   RTX 5070: gpu-vision — 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 qwen3.6-35B-udq4 (22GB, strix-moe alias).
-  Instability observed near 100K at 256K (now all GPUs at 128K). 128K is the stable ceiling.
-  For larger context needs → fall back to external providers (deepseek).
+  UPDATED 2026-07-17: NVIDIA host context reduced from 256K to 128K for stability.
+  Strix Halo model: Carnice-Qwen3.6-MoE-35B-A3B-Q4_K_M.gguf (alias strix-moe, 256K context).
+  Strix Halo runs 256K (n_ctx 262144, --kv-unified); RTX 3090 and RTX 5070 remain at 128K.
+  For >128K on NVIDIA hosts → fall back to external providers (deepseek).
   VRAM headroom improved: RTX 3090 ~70%, RTX 5070 ~65%.
 agent: abiba
 triggers:
@@ -91,8 +91,8 @@ Single source of truth for models, aliases, rpm caps, weights and fallback chain
 CT 116 `/opt/inference-harness/litellm_config.yaml`. Do not duplicate those values in
 contracts — read them there.
 
-**Backward compatibility**: Old model-specific names (qwen3.6-27B-code, qwen3.5-9b-it) still work
-but are deprecated for agent configs. Only the stable aliases survive model swaps. `gemma-4-12b`
+**No backward compatibility**: Old model-specific names (qwen3.6-27B-code, qwen3.5-9b-it) are retired as of 2026-09-12
+and no longer resolve; do not use them in agent configs. Only the stable aliases survive model swaps. `gemma-4-12b`
 is retired and returns 400 `Invalid model name`.
 
 ## Routing Configuration (LiteLLM — July 2026)
@@ -190,7 +190,7 @@ If no SSH access, send Zulip DM via abiba-bot with vault update instructions.
 | `/root/scripts/gpu-saturation-watchdog.py` | pi (.24) | Auto-restart stuck llama-server |
 | `/root/dashboard/gpu-fleet.html` | pi (.24) | Live HTML dashboard |
 | `/etc/systemd/system/llama-server.service` | .8, .110 | llama-server daemons (Nvidia GPUs) |
-| `/etc/systemd/system/strix-server.service` | .15 (amdpve) | llama-server daemon (Vulkan, Strix Halo) running unsloth/Qwen3.6-35B-A3B-MTP-GGUF. Note: `llama-server.service` and `llama-server@.service` are **masked** on .15 to prevent port 8080 collisions. |
+| `/etc/systemd/system/strix-server.service` | .15 (amdpve) | llama-server daemon (Vulkan, Strix Halo) running Carnice-Qwen3.6-MoE-35B-A3B-Q4_K_M.gguf (256K ctx). Note: `llama-server.service` and `llama-server@.service` are **masked** on .15 to prevent port 8080 collisions. |
 
 ## Prometheus & Grafana
 
@@ -207,7 +207,7 @@ If no SSH access, send Zulip DM via abiba-bot with vault update instructions.
 - **Router startup race**: Compose router.py doesn't call load_roster(). Reload thread sleeps 30s first.
   Fix: trigger roster reload via SSH after restart, or rebuild image with startup load_roster().
 - **LiteLLM /metrics**: Requires auth. Prometheus uses `/health/liveliness` as workaround.
-- **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).
+- **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: `Carnice-Qwen3.6-MoE-35B-A3B-Q4_K_M.gguf`, alias `strix-moe`, 256K context (n_ctx 262144), --parallel 2 --kv-unified, 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 (old Mumuni CT114 — now inside Abiba CT100 at .24) 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.
@@ -223,10 +223,10 @@ If no SSH access, send Zulip DM via abiba-bot with vault update instructions.
 | GPU | Model | Gen tok/s | Prompt tok/s | Baseline | Context |
 |-----|-------|-----------|--------------|----------|---------|
 | RTX 3090 (.8) | Qwen3.8-27B-Uncensored-Q4_K_M | **TBD** | — | — | **128K** |
-| Strix Halo (.15) | qwen3.6-35B-udq4 | **65** | 140 | — | **128K** |
+| Strix Halo (.15) | Carnice-Qwen3.6-MoE-35B-A3B-Q4_K_M.gguf (strix-moe) | **65** | 140 | — | **256K** |
 
-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 from 2026-07-17. Strix Halo model: Carnice-Qwen3.6-MoE-35B-A3B-Q4_K_M.gguf (alias strix-moe), n_ctx 262144, --parallel 2 --kv-unified. RTX 5070 MTP provides 2.7x speedup over pre-upgrade 70 tok/s.
+GPU contexts: RTX 3090 (.8) and RTX 5070 (.110) at 128K; Strix Halo (.15) at 256K (2026-09-12).
 
 Benchmarks run through LiteLLM proxy (192.168.68.116:4000) every 5 minutes.
 Degradation alerts fire at 30% (warning) and 50% (critical) below baseline.
@@ -247,8 +247,8 @@ All agent configs MUST use stable role-based aliases, never model-specific names
 When the underlying model is swapped, only the LiteLLM config changes — agent configs are untouched.
 
 ### Context Windows
-- RTX 3090: **128K** (reduced from 256K 2026-07-17) | RTX 5070: **128K** (reduced from 256K) | Strix Halo: **128K**
-- **All agents**: 128K ceiling — stable margin. For >128K workloads, use external providers (deepseek)
+- RTX 3090: **128K** (reduced from 256K 2026-07-17) | RTX 5070: **128K** (reduced from 256K) | Strix Halo: **256K** (2026-09-12)
+- **Agents via `syslog-auto`**: 128K ceiling — the pool's safe floor (NVIDIA hosts are 128K). For >128K workloads, use external providers (deepseek)
 - Compression threshold 0.65 (audit Rule 9): fires at ~85K (~43K headroom before 128K ceiling)
 - **Pi agents (Abiba)**: `compaction.reserveTokens: 52739` (≈60% of 128K)
 - Mumuni compression model alias: `syslog-auto`
@@ -266,7 +266,7 @@ Mumuni (kagentz CT105, 192.168.68.14 — migrated from CT100 2026-08-29) is the
 | `aux.vision.model` | `gpu-vision` | Vision tasks (RTX 5070) |
 | `aux.web_extract.model` | `gpu-vision` | Web extraction |
 | `delegation.model` | `gpu-dense` | Sub-agent reasoning (RTX 3090) |
-| `context.max_context_window` | 131072 (128K) | Reduced from 256K 2026-07-17 — stable 128K ceiling |
+| `context.max_context_window` | 131072 (128K) | Conservative `syslog-auto` pool floor (NVIDIA hosts 128K; Strix Halo 256K) |
 | `compression.threshold` | 0.65 | Rule 9: triggers at ~85K for a 128K window |
 | `compression.target_ratio` | 0.3 | Compresses to ~38K |
 | `compression.protect_last_n` | 40 | Preserves last 40 messages |

gpu-self-heal.prose.md

@@ -48,11 +48,11 @@ depends_on:
 
 | Alias | GPU | Host | Model | VRAM | Ctx | tok/s | Role |
 |-------|-----|------|-------|------|-----|-------|------|
-| `strix-moe` | Strix Halo 64GB | ct15 (.15:8080) | qwen3.6-35B-udq4 | ~10/64GB (16%) | 128K | 62.9 | Compression, summarization, long docs |
+| `strix-moe` | Strix Halo 64GB | ct15 (.15:8080) | Carnice-Qwen3.6-MoE-35B-A3B-Q4_K_M.gguf | ~10/64GB (16%) | 256K | 62.9 | Compression, summarization, long docs |
 
 Key notes:
 - All models use direct GPU routing via LiteLLM (`api_key: not-needed`). Router (port 9000) was decommissioned 2026-09-11 and is NOT in the inference path.
-- Stable aliases (gpu-dense, gpu-vision, strix-moe) from gpu-fleet are the canonical names for agent configs. Model-specific names still work but are deprecated. The retired names `gpu-light` and `gemma-4-12b` were superseded by `gpu-vision` on 2026-09-12 and no longer resolve (400 `Invalid model name`).
+- Stable aliases (gpu-dense, gpu-vision, strix-moe) from gpu-fleet are the canonical names for agent configs — use these, not model-specific names. The retired names `gpu-light` and `gemma-4-12b` were superseded by `gpu-vision` on 2026-09-12 and no longer resolve (400 `Invalid model name`).
 - The RTX 5070 is the fastest endpoint per token — `gpu-vision` is its canonical alias. Route vision/web/light work there first. The RTX 5070 model is multimodal (image+text).
 - 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).
@@ -142,10 +142,10 @@ Key notes:
 - **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 (all 128K)
+- **Detect**: Benchmark tok/s vs baseline for each GPU at its current context
   - 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, qwen3.6-35B-udq4): baseline 70.5 tok/s — currently at 62.9 (89%)
+  - Strix Halo (256K ctx, Carnice-Qwen3.6-MoE-35B-A3B-Q4_K_M.gguf): 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

hermes-agent-baseline.prose.md

@@ -5,12 +5,30 @@ 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 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).
+  configuration goes sideways, restore from this baseline. Last verified 2026-07-16. RTX 3090/5070 at 128K (reduced from 256K for stability Jul 2026); Strix Halo at 256K (2026-09-12) (RTX 3090 .8, RTX 5070 .110, Strix Halo .15). Parallel 1 fleet-wide (Strix Halo handles compression solo).
 author: Abiba (pi agent)
 ---
 
 # Hermes Agent Baseline — Canonical Good State
 
+## Reachability Detection
+
+Before checking agent baseline, verify the host is reachable and can be audited. Use the shared reachability helper from the clone root:
+
+```bash
+# Run on each host to check reachability (Tanko, Mumuni, Koonimo, Koby)
+scripts/hermes-reachability-check.sh <host> "api_key:" "/root/.hermes/config.yaml"
+# Example: scripts/hermes-reachability-check.sh 192.168.68.122 "api_key:" "/root/.hermes/config.yaml"
+
+# Expected outcomes:
+# - UNREACHABLE: SSH connection failed (host is down)
+# - VIOLATION: SSH succeeded and found matches (report the finding)
+# - COMPLIANT: SSH succeeded and found no matches (no api_key in config)
+#
+# NOTE: The bug this replaces was deriving reachability from the remote grep's exit code.
+# The correct pattern: remote side always succeeds (grep ...; true), so ssh status = connection only.
+```
+
 ## Quick Restore
 
 ```bash
@@ -200,8 +218,7 @@ the registry before applying. Key is injected via `infisical run --` wrapper at
         { "id": "syslog-auto" },
         { "id": "strix-moe" },
         { "id": "gpu-dense" },
-        { "id": "gpu-vision" },
-        { "id": "qwen3.6-27B-code" }
+        { "id": "gpu-vision" }
       ]
     }
   }

hermes-config-template.prose.md

@@ -19,6 +19,24 @@ description: >
 - agent_keys: map (see Agent Keys section)
 - infra_endpoints_verified: array
 
+## Reachability Detection
+
+Before auditing the config template, verify the host is reachable and can be checked. Use the shared reachability helper from the clone root:
+
+```bash
+# Run on each host to check reachability (Tanko, Mumuni, Koonimo, Koby)
+scripts/hermes-reachability-check.sh <host> "base_url:" "/root/.hermes/config.yaml"
+# Example: scripts/hermes-reachability-check.sh 192.168.68.122 "base_url:" "/root/.hermes/config.yaml"
+
+# Expected outcomes:
+# - UNREACHABLE: SSH connection failed (host is down)
+# - VIOLATION: SSH succeeded and found matches (report the finding)
+# - COMPLIANT: SSH succeeded and found no matches (no base_url in config)
+#
+# NOTE: The bug this replaces was deriving reachability from the remote grep's exit code.
+# The correct pattern: remote side always succeeds (grep ...; true), so ssh status = connection only.
+```
+
 ## Agent Keys (LiteLLM — Current 2026-07-11)
 
 Each agent has a unique LiteLLM API key (virtual key) generated against the LiteLLM
@@ -92,12 +110,12 @@ work immediately after restart.
 ```yaml
 # ─── Model Selection ───
 model:
-  default: <agent_model>          # e.g., strix-moe, qwen3.6-27B-code, syslog-auto
+  default: <agent_model>          # e.g., strix-moe, gpu-dense, syslog-auto
   provider: harness
   base_url: http://192.168.68.116/litellm/v1   # Rule 5 (2026-08-09): canonical authenticated path; /v1 also OK
   api_key_env: LITELLM_API_KEY    # Injected via infisical run -- wrapper
   max_tokens: 4096                # ⚠️ CRITICAL: Prevents unbounded generation
-  context_length: 131072          # For syslog-auto (all GPUs at 128K for stability).
+  context_length: 131072          # Conservative floor for syslog-auto (NVIDIA hosts 128K; Strix Halo 256K).
                                   # ⚠️ MANDATORY: Hermes probes unknown models from 256K
                                   # and falls back to 256K when /v1/models lacks a context
                                   # field (llama-server does). Without this override, agents
@@ -133,7 +151,7 @@ compression:
   enabled: true
   model: syslog-auto               # ⚠️ 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: 131072      # MUST match actual GPU capacity. All 3 GPUs are 128K (Jul 17).
+  max_context_window: 131072      # MUST stay at the syslog-auto pool floor: NVIDIA hosts are 128K, Strix Halo 256K (2026-09-12).
   threshold: 0.65                 # Fires at ~170K for 262K window, ~85K for 128K
   target_ratio: 0.30
   protect_last_n: 40
@@ -149,7 +167,7 @@ compression:
 # Do NOT use syslog-auto for auxiliary tasks — it routes to the primary GPU.
 # gpu-vision = RTX 5070 (12B), freeing the Strix Halo for agent reasoning.
 # Heavy aux (delegation, x_search) use gpu-dense (RTX 3090) instead.
-# NEVER use raw model names (e.g. qwen3.6-27B-code, qwen3.6-35B-udq4; gemma-4-12b is retired
+# NEVER use retired model names (qwen3.6-27B-code, qwen3.6-35B-udq4; gemma-4-12b is retired
 # and no longer resolves) in agent configs — use the stable aliases so model swaps don't break agents.
 auxiliary:
   vision:
@@ -173,10 +191,10 @@ auxiliary:
     timeout: 300                 # gpu-fleet: 300s for large-history summarization (was 60)
 
 # ─── Delegation / Heavy Aux (use gpu-dense = RTX 3090) ───
-# delegation.model and x_search.model use gpu-dense (NOT raw qwen3.6-27B-code).
+# delegation.model and x_search.model use gpu-dense (NOT retired raw name).
 
 delegation:
-  model: gpu-dense              # stable alias for RTX 3090 (was raw qwen3.6-27B-code)
+  model: gpu-dense              # stable alias for RTX 3090
   provider: harness
   base_url: http://192.168.68.116/litellm/v1   # Rule 5 (2026-08-09): canonical authenticated; /v1 also OK
   api_key_env: LITELLM_API_KEY
@@ -253,7 +271,7 @@ The following MUST be identical across ALL profiles:
 
 ### Rule 7: Auxiliary Model Consistency (UPDATED 2026-07-16)
 - Vision and web_extract use `gpu-vision` (RTX 5070 — 12GB, vision-optimized)
-- Compression uses `syslog-auto` — the Strix Halo weighted pool (64GB, 128K ctx, compression-optimized); do NOT pin `compression.model` to `strix-moe` (audit Rule 7 rejects it)
+- Compression uses `syslog-auto` — the Strix Halo weighted pool (64GB, 256K ctx, compression-optimized); do NOT pin `compression.model` to `strix-moe` (audit Rule 7 rejects it)
 - **`ornith-1.0-35b` is NOT a valid compression model name** — LiteLLM does not serve it
   (do not restate the served model list here — CT 116 `/opt/inference-harness/litellm_config.yaml`
   is the single source of truth for models, aliases, weights and fallbacks). Old configs with `ornith-1.0-35b` cause 403/model-not-found on compression calls.
@@ -267,15 +285,15 @@ The following MUST be identical across ALL profiles:
   - `api_key_env: LITELLM_API_KEY`
 - **Do NOT use `syslog-auto` for `vision`/`web_extract`** — it routes unpredictably; compression is the deliberate exception (see the OPERATIONAL DECISION above)
 - **Compression on Strix Halo**: The strix-moe alias routes to Strix Halo
-  (64GB UMA, 128K context) — the designated compression GPU. This frees the
+  (64GB UMA, 256K 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: 131072` MUST match actual GPU capacity (128K)
+- The `compression: max_context_window: 131072` MUST stay at the syslog-auto pool floor (NVIDIA hosts 128K; Strix Halo 256K)
 
 ### Rule 8: GPU Workload Distribution (UPDATED 2026-07-16)
-- **RTX 3090 (24GB, 128K ctx, qwen3.6-27B-code)**: Heavy reasoning, code gen, long conversations
+- **RTX 3090 (24GB, 128K ctx, gpu-dense)**: Heavy reasoning, code gen, long conversations
 - **RTX 5070 (12GB, 128K ctx, gpu-vision)**: Vision, web search, quick tasks, web_extract (IQ4_NL+MTP, ~65% VRAM at 128K)
-- **Strix Halo (64GB, 128K ctx, syslog-auto)**: Context compression, summarization, long docs
+- **Strix Halo (64GB, 256K ctx, syslog-auto)**: Context compression, summarization, long docs
 - Agent profiles MUST route auxiliary tasks to the correct GPU:
   - `auxiliary.vision.model: gpu-vision` (RTX 5070)
   - `auxiliary.web_extract.model: gpu-vision` (RTX 5070)
@@ -284,14 +302,14 @@ The following MUST be identical across ALL profiles:
 - 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 ~105K, leaving only 23K margin
-- `max_context_window: 131072` MUST match the model's actual capacity (128K)
+- `max_context_window: 131072` MUST stay at the pool floor (NVIDIA hosts 128K; Strix Halo 256K)
 - See `devops-hermes-compression` skill for full reference
 
 ### 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 ~105K, leaving only 23K margin
-- `max_context_window: 131072` MUST match the model's actual capacity (all GPUs = 128K)
+- `max_context_window: 131072` MUST stay at the pool floor (NVIDIA hosts 128K; Strix Halo 256K)
 - See `devops-hermes-compression` skill for full reference
 
 ### Rule 10: Default Model Must Be `syslog-auto` (All Agents)
@@ -322,7 +340,8 @@ 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 `131072` (all GPUs are 128K). A value of `262144` causes instability near 100K and must NOT be used.
+   MUST be `131072` (the syslog-auto pool floor: NVIDIA hosts are 128K; Strix Halo is 256K).
+   A `262144` client window can route to a 128K NVIDIA host and fail, so it must NOT be used.
    ~83K instead of ~170K. Check: `grep -n max_context_window ~/.hermes/config.yaml`
 2. **base_url uses authenticated path?** — `custom_providers[0].base_url`, `delegation.base_url`,
    and ALL `auxiliary.*.base_url` MUST be `http://192.168.68.116/litellm/v1` (Rule 5, canonical)

hermes-key-enforcement.prose.md

@@ -117,6 +117,24 @@ model:
   api_key_env: LITELLM_API_KEY
 ```
 
+## Reachability Detection
+
+Before checking for hardcoded keys, verify the host is reachable and can be audited. Use the shared reachability helper from the clone root:
+
+```bash
+# Run on each host to check reachability (Tanko, Mumuni, Koonimo, Koby)
+scripts/hermes-reachability-check.sh <host> "api_key: sk-" "/root/.hermes/"
+# Example: scripts/hermes-reachability-check.sh 192.168.68.122 "api_key: sk-" "/root/.hermes/"
+
+# Expected outcomes:
+# - UNREACHABLE: SSH connection failed (host is down)
+# - VIOLATION: SSH succeeded and found matches (report the finding)
+# - COMPLIANT: SSH succeeded and found no matches (no hardcoded keys in config)
+#
+# NOTE: The bug this replaces was deriving reachability from the remote grep's exit code.
+# The correct pattern: remote side always succeeds (grep ...; true), so ssh status = connection only.
+```
+
 ## Detection Query
 
 Run on any Hermes host to detect violations:
@@ -182,7 +200,7 @@ The agent picks up the new key via `infisical run --` at gateway startup.
 # re-verify before applying.
 litellm_settings:
   default_key_generate_params:
-    models: ["syslog-auto", "qwen3.6-27B-code", "gpu-vision"]
+    models: ["syslog-auto", "gpu-dense", "gpu-vision", "strix-moe"]
     duration: null        # ← permanent
     max_budget: 100
     metadata:

inference-optimization.prose.md

@@ -4,7 +4,7 @@ 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).
+  times to sub-15s average. NVIDIA GPUs at 128K context; Strix Halo at 256K (2026-09-12).
 id: 067NC6KP02RG60S50M40E30928
 ---
 
@@ -63,7 +63,7 @@ prefill time at 532 tok/s. Fix context first, routing second.
 - **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). 128K window should compact at 85K (0.65 threshold). For larger contexts, route to external providers.
+  GPUs reduced from 256K to 128K (2026-07-17) for the NVIDIA hosts; Strix Halo runs 256K (2026-09-12). 128K window should compact at 85K (0.65 threshold). For larger contexts, route to external providers.
 
 ### Shape
 
@@ -101,5 +101,5 @@ call enable-prompt-caching
 
 call verify-latency
   host: 192.168.68.116
-  models: [syslog-auto, qwen3.6-27B-code, gpu-vision]
+  models: [syslog-auto, gpu-dense, gpu-vision, strix-moe]
 ```

infrastructure-control.prose.md

@@ -223,7 +223,7 @@ description: >
 **Prometheus targets**:
 - 192.168.68.8:9400 (RTX 3090 — qwen)
 - 192.168.68.110:9400 (RTX 5070 — gpu-vision)
-- 192.168.68.15:9400 (Strix Halo — qwen3.6-35B-udq4)
+- 192.168.68.15:9400 (Strix Halo — strix-moe)
 - harness-litellm:4000 (LiteLLM health)
 
 ### Ecosystem C: Netbird (72.61.0.17 — Hostinger srv1079750.hstgr.cloud)

infrastructure-monitoring.prose.md

@@ -129,10 +129,15 @@ the any-HTTP rule. On those — the authenticated Zulip POST and the router
 pwd -P
 
 # Zulip API health (POST ping)
-source /etc/litellm-monitor.env
-ZULIP_USER="abiba-bot@chat.sysloggh.net"
-curl -s -o /dev/null -w '%{http_code}' -X POST https://chat.sysloggh.net/api/v1/messages -u "${ZULIP_USER}:${ZULIP_BOT_KEY}"
-# Expected: 200 (HTTP 000 = unreachable/cache)
+# NOTE: /etc/litellm-monitor.env exists only on CT 116, retrieve keys from CT 116 via:
+zulip_key=$(ssh root@192.168.68.116 "grep ZULIP_BOT_KEY /etc/litellm-monitor.env | cut -d= -f2")
+if [ -z "$zulip_key" ]; then
+  echo "credential-missing: ZULIP_BOT_KEY not found in /etc/litellm-monitor.env"
+else
+  ZULIP_USER="abiba-bot@chat.sysloggh.net"
+  curl -s -o /dev/null -w '%{http_code}' -X POST https://chat.sysloggh.net/api/v1/messages -u "${ZULIP_USER}:${zulip_key}"
+  # Expected: 200 (HTTP 000 = unreachable/cache)
+fi
 
 # PM2 process health
 pm2 jlist

litellm-client-timeouts.prose.md

@@ -26,9 +26,8 @@ description: >
 | Model | avg latency | avg TTFT | p-profile (24h) |
 |---|---|---|---|
 | syslog-auto | 28.8s | 25.4s | 68 calls took 30-120s; tail to ~300s under load |
-| qwen3.6-27B-code | 23.0s | — | same backend class as syslog-auto |
 | strix-moe | 7.5s | — | Strix Halo, healthy |
-| gemma-4-12b (retired 2026-09-12; RTX 5070 now `gpu-vision`) | 2.6s | — | RTX 5070, healthy |
+| gpu-vision (retired gemma-4-12b, RTX 5070) | 2.6s | — | RTX 5070, healthy |
 
 Sep 6 incident timeline: failures 04:00-07:00 EDT (0% GPU util = wedged
 backend), full recovery 07:00-08:00 with ZERO client failures once requests
@@ -56,9 +55,8 @@ proxy queuing.
 - vision: 60s (keep), web_extract: 30s (keep) — the 2.6s average was measured on `gemma-4-12b` (retired 2026-09-12); the live RTX 5070 alias is `gpu-vision`.
 - compression: 300s (keep — this was already raised from 60 per gpu-fleet).
 - **gpu-dense delegation/x_search: set timeout >= 120s.** The RTX 3090
-  (qwen3.6-27B-code backend, 23.0s avg) is the same speed class as
-  syslog-auto; delegation defaults that assume fast responses will 408 the
-  same way.
+  (gpu-dense backend) is the same speed class as syslog-auto; delegation
+  defaults that assume fast responses will 408 the same way.
 
 ### 3. Retry policy — backoff, not repetition
 

litellm-health.prose.md

@@ -44,7 +44,7 @@ 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 — now the stable ceiling across all GPUs (2026-07-17)
+- NVIDIA context reduced 256K→128K to free VRAM — the stable NVIDIA ceiling (2026-07-17); Strix Halo runs 256K (2026-09-12)
 - Timeouts and fallback chains are config state — read them from CT 116 `/opt/inference-harness/litellm_config.yaml`; they are not duplicated here.
 
 ## Parameters
@@ -69,7 +69,16 @@ Request → nginx:80 → LiteLLM:4000 → GPU(llama-server, parallel 2)
 - Network access to public_url, auth_host, and gpu_dashboard_url
 - LiteLLM master key for admin endpoints only (`/key/list`, `/key/generate`, `/key/info`)
 - The dedicated `monitor` agent key on CT 116 at `/etc/litellm-monitor.env` (root-only 0600) for
-  model inference checks — the master key must never be used for inference
+  model inference checks, scoped for every alias step 7 probes (`gpu-dense`, `gpu-vision`,
+  `strix-moe`, `syslog-auto`). Retrieve from the executor's host via:
+
+  ```
+  monitor key: ssh root@192.168.68.116 "grep LITELLM_MONITOR_KEY /etc/litellm-monitor.env | cut -d= -f2"
+  master key:  ssh root@192.168.68.116 "docker exec harness-litellm printenv LITELLM_MASTER_KEY"
+  ```
+
+  If credentials are missing or unreadable, the probe must report `credential-missing` (not bare 401 or "0 keys").
+  The master key must never be used for inference.
 
 ## GPU Fleet Topology
 
@@ -144,12 +153,19 @@ contracts — read them there. Do not re-add retired names (`gemma-4-12b`, `gpu-
 7. **Check model inference via LiteLLM** — Test one model on each GPU host. The health
    check runs on the **backend edge**, not the public edge, so these paths carry the
    `/litellm/` prefix:
-   - POST http://{{backend_host}}/litellm/v1/chat/completions model=qwen3.6-27B-code → expect 200 (RTX 3090, .8)
+   - POST http://{{backend_host}}/litellm/v1/chat/completions model=gpu-dense → expect 200 (RTX 3090, .8)
    - POST http://{{backend_host}}/litellm/v1/chat/completions model=gpu-vision → expect 200 (RTX 5070, .110)
    - POST http://{{backend_host}}/litellm/v1/chat/completions model=strix-moe → expect 200 (Strix Halo, .15)
-   - Auth uses the dedicated `monitor` agent key, read on CT 116 from
-     `/etc/litellm-monitor.env` (root-only 0600). Do NOT use the master key for inference —
-     the master key is for admin endpoints only (`/key/list`, `/key/generate`, `/key/info`).
+   - Auth uses the dedicated `monitor` agent key. Retrieve via:
+     `ssh root@192.168.68.116 "grep LITELLM_MONITOR_KEY /etc/litellm-monitor.env | cut -d= -f2"`
+     Do NOT use the master key for inference — the master key is for admin endpoints only
+     (`/key/list`, `/key/generate`, `/key/info`). Retrieve master key via:
+     `ssh root@192.168.68.116 "docker exec harness-litellm printenv LITELLM_MASTER_KEY"`
+   - KEY SCOPE: the `monitor` key MUST be scoped for the three probed aliases (`gpu-dense`,
+     `gpu-vision`, `strix-moe`) plus the `syslog-auto` fallback pool, otherwise the probe
+     returns 403 and the host is not covered.
+     If a probe returns 403, widen the monitor key's model list on CT 116 (add the missing
+     alias) and re-run — never drop the host from the probe to make the check pass.
    - `gemma-4-12b` was retired and returns 400 `Invalid model name` — do not re-add it to
      this list. The RTX 5070 host now serves `gpu-vision`.
    - `/v1/models` is **key-scoped**: a model is only visible to keys allowed to use it, so
@@ -161,8 +177,27 @@ contracts — read them there. Do not re-add retired names (`gemma-4-12b`, `gpu-
 
 8. **Check agent keys**:
    - GET http://{{backend_host}}/litellm/key/list with master key (admin endpoint) → verify all 6 agents have keys
+   - **IMPORTANT**: Run the curl on the CT 116 HOST, not inside the container. The `harness-litellm` container has no curl/wget. Use:
+     `ssh root@192.168.68.116 "curl -s -H 'Authorization: Bearer $MASTER_KEY' http://127.0.0.1:4000/key/list"`
+   - If the response is empty or unparseable, report `admin-call-failed` (not "0 agent keys")
 
 9. **Check Grafana**:
    - GET {{grafana_url}}/api/health → expect 200
 
 10. **Compile and report** — Determine overall_status from individual check results
+
+## Executor Script (2026-09-13)
+
+**Run `scripts/litellm-health-check.py` from the clone.** This script implements all 11
+checks defined above and reports results in a standardized format. Paste its output in
+the status line.
+
+- Hand-rolled probes are **not** an acceptable substitute for the script.
+- Backend-edge checks (steps 2–8) must use `http://192.168.68.116` (internal IP),
+  **not** the public URL `https://litellm.sysloggh.net` (which returns 401 for those paths).
+- Docker Stats (step 10) must be fetched from the CT 116 host itself (`127.0.0.1:9324/metrics`)
+  because the `harness-docker-stats` container binds to localhost on CT 116.
+- Admin Key List (step 8) requires the master key expanded locally before SSH, then embedded
+  in the remote curl command with proper quoting.
+
+Expected output on a healthy fleet: 11/11 passing checks.

mumuni-delegation-prose-contract.prose.md

@@ -90,8 +90,8 @@ raw data never provided.
 
 | Worker | Model | Toolsets | Role | Use When |
 |--------|-------|----------|------|----------|
-| `syslog-code` | qwen3.6-27B-code | terminal, file, web, memory, skills | Code patches, automation, scripts | Writing/modifying code, creating scripts, debugging, reading/writing files |
-| `syslog-devops` | qwen3.6-27B-code | terminal, file, web, memory, skills | Infrastructure, DB, bridge, Proxmox | Server ops, SSH, Docker, Proxmox, DB queries, hardware checks |
+| `syslog-code` | gpu-dense | terminal, file, web, memory, skills | Code patches, automation, scripts | Writing/modifying code, creating scripts, debugging, reading/writing files |
+| `syslog-devops` | gpu-dense | terminal, file, web, memory, skills | Infrastructure, DB, bridge, Proxmox | Server ops, SSH, Docker, Proxmox, DB queries, hardware checks |
 | `syslog-email` | strix-moe | terminal, file, web, memory, skills | Email automation, mail operations | Sending/receiving email, inbox management, SMTP operations |
 | `syslog-research` | strix-moe | terminal, file, web, memory, skills, **browser** | Analysis, classification, data processing | Web research, browser tasks, data analysis, classification, reading docs |
 | `syslog-review` | strix-moe | terminal, file, web, memory, skills | Verification, QA, audit validation | **ALWAYS** verify worker output before delivery — especially for infra changes, code builds, and research findings |

pm2-self-heal.prose.md

@@ -9,7 +9,6 @@ description: >
 - abiba-telegram: { status: "online", uptime: string, restarts: number }
 - abiba-zulip: { status: "online", uptime: string, restarts: number }
 - gitea-runner: { status: "online", uptime: string, restarts: number }
-- spoton-service: { status: "online", uptime: string, restarts: number }
 - zulip-watchdog: { status: "online", uptime: string, restarts: number }
 - last_check: timestamp
 

proxmox-monitor.prose.md

@@ -87,7 +87,7 @@ 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 (qwen3.6-35B-udq4, strix-moe) |
+| amdpve | 192.168.68.15 | PVE + Strix Halo LLM (strix-moe) |
 
 ## Operations
 

scripts/hermes-reachability-check.sh

@@ -0,0 +1,32 @@
+#!/bin/bash
+# Shared helper for Hermes contract reachability checks
+# Separates SSH exit status from remote command result
+
+hermes_check_host() {
+    local host=$1
+    local pattern=$2
+    local path=$3
+    
+    # Remote side always succeeds (grep ...; true), so ssh exit code = connection status only
+    local out
+    out=$(ssh -o BatchMode=yes -o ConnectTimeout=3 root@"$host" "grep -RIn '$pattern' '$path' 2>/dev/null; true" 2>/dev/null)
+    local status=$?
+    
+    if [ $status -ne 0 ]; then
+        echo "$host: UNREACHABLE (ssh exit $status)"
+    elif [ -n "$out" ]; then
+        echo "$host: VIOLATION: $out"
+    else
+        echo "$host: COMPLIANT (no matches found)"
+    fi
+}
+
+# Standalone mode: scripts/hermes-reachability-check.sh <host> <pattern> <path>
+if [ "${BASH_SOURCE[0]}" = "${0}" ]; then
+    if [ $# -ne 3 ]; then
+        echo "Usage: $0 <host> <pattern> <path>" >&2
+        exit 2
+    fi
+    hermes_check_host "$1" "$2" "$3"
+    exit 0
+fi

scripts/litellm-health-check.py

@@ -0,0 +1,238 @@
+#!/usr/bin/env python3
+"""
+LiteLLM Health Check - Contract executor
+Runs all checks defined in litellm-health.prose.md and reports results.
+"""
+
+import subprocess
+import sys
+import json
+import time
+import random
+
+# Configuration
+BACKEND_HOST = "192.168.68.116"
+GPU_HOSTS = {
+    "gpu-dense": "192.168.68.8",
+    "gpu-vision": "192.168.68.110", 
+    "strix-moe": "192.168.68.15"
+}
+
+def run_command(cmd, timeout=15):
+    """Run a command and return (exit_code, stdout, stderr)"""
+    try:
+        result = subprocess.run(
+            cmd,
+            shell=True,
+            capture_output=True,
+            text=True,
+            timeout=timeout
+        )
+        return result.returncode, result.stdout.strip(), result.stderr.strip()
+    except subprocess.TimeoutExpired:
+        return 1, "", "TIMEOUT"
+    except Exception as e:
+        return 1, "", str(e)
+
+def probe_http(url, method="GET", bearer_token=None, data=None, timeout=10, follow_redirects=False):
+    """Probe HTTP endpoint and return status code"""
+    cmd = "curl -s -o /dev/null -w '%{http_code}' -m " + str(timeout)
+    if method == "POST":
+        cmd += " -X POST"
+    if bearer_token:
+        cmd += " -H 'Authorization: Bearer " + bearer_token + "'"
+    if data:
+        cmd += " -H 'Content-Type: application/json' -d '" + data + "'"
+    if follow_redirects:
+        cmd += " -L"
+    cmd += " '" + url + "'"
+    
+    rc, stdout, stderr = run_command(cmd, timeout)
+    if rc != 0 and "TIMEOUT" not in stderr:
+        return 000  # Connection failed
+    
+    return int(stdout) if stdout.isdigit() else 000
+
+def check_liveliness():
+    """Step 1: Liveliness probe"""
+    code = probe_http("http://" + BACKEND_HOST + "/litellm/health/liveliness")
+    return "Liveliness", code == 200, str(code) + " (target: " + BACKEND_HOST + "/litellm/health/liveliness)"
+
+def check_containers():
+    """Step 2: Container health via SSH"""
+    cmd = "ssh -o BatchMode=yes -o ConnectTimeout=5 -o StrictHostKeyChecking=no root@192.168.68.116 'docker ps --format \"{{.Names}} {{.Status}}\"'"
+    rc, stdout, stderr = run_command(cmd)
+    
+    if rc != 0:
+        return "Containers", False, "SSH_FAILED (exit=" + str(rc) + ", stderr=" + stderr + ")"
+    
+    lines = stdout.split('\n') if stdout else []
+    container_count = len([l for l in lines if l.strip()])
+    healthy = container_count >= 8
+    return "Containers", healthy, str(container_count) + " containers"
+
+def check_model_probes():
+    """Step 6: Model probe - all 4 aliases"""
+    # Get monitor key
+    monitor_key = run_command("ssh -o BatchMode=yes root@192.168.68.116 \"grep LITELLM_MONITOR_KEY /etc/litellm-monitor.env | cut -d= -f2\"")[1]
+    
+    results = []
+    
+    for model in ["gpu-dense", "gpu-vision", "strix-moe"]:
+        # Single-host aliases: 30s timeout
+        code = probe_http("http://" + BACKEND_HOST + "/litellm/v1/chat/completions",
+                         method="POST",
+                         bearer_token=monitor_key,
+                         data='{"model":"' + model + '","messages":[{"role":"user","content":"health ' + str(random.randint(1000, 9999)) + '"}],"max_tokens":4}',
+                         timeout=30)
+        
+        results.append((model, code == 200, str(code) + " (target: " + BACKEND_HOST + "/litellm/v1/chat/completions, model=" + model + ")"))
+    
+    # Pool alias (syslog-auto): 60s timeout, retry once on 000
+    code = probe_http("http://" + BACKEND_HOST + "/litellm/v1/chat/completions",
+                     method="POST",
+                     bearer_token=monitor_key,
+                     data='{"model":"syslog-auto","messages":[{"role":"user","content":"health ' + str(random.randint(1000, 9999)) + '"}],"max_tokens":4}',
+                     timeout=60)
+    
+    if code == 000:
+        # Retry once with same timeout
+        time.sleep(1)
+        code = probe_http("http://" + BACKEND_HOST + "/litellm/v1/chat/completions",
+                         method="POST",
+                         bearer_token=monitor_key,
+                         data='{"model":"syslog-auto","messages":[{"role":"user","content":"health ' + str(random.randint(1000, 9999)) + '"}],"max_tokens":4}',
+                         timeout=60)
+    
+    results.append(("syslog-auto", code == 200, str(code) + " (target: " + BACKEND_HOST + "/litellm/v1/chat/completions, model=syslog-auto)"))
+    
+    return results
+
+def check_admin_key_list():
+    """Step 8: Admin API key list - use two-step approach"""
+    # Step 1: Get master key
+    mk_cmd = "ssh -o BatchMode=yes root@192.168.68.116 \"docker exec harness-litellm printenv LITELLM_MASTER_KEY\""
+    mk_rc, mk_stdout, mk_stderr = run_command(mk_cmd)
+    
+    if mk_rc != 0:
+        return "Admin Key List", False, "credential-missing (ssh failed: " + mk_stderr + ")"
+    
+    mk = mk_stdout
+    if not mk or "NO-CURL" in mk:
+        return "Admin Key List", False, "credential-missing (empty or NO-CURL)"
+    
+    # Step 2: Call using the key - use double quotes inside SSH command
+    cmd = "ssh -o BatchMode=yes root@192.168.68.116 \"curl -s -H \\\"Authorization: Bearer " + mk + "\\\" http://127.0.0.1:4000/key/list\""
+    rc, stdout, stderr = run_command(cmd)
+    
+    if rc != 0:
+        return "Admin Key List", False, "admin-call-failed (exit=" + str(rc) + ", stderr=" + stderr + ")"
+    
+    # Try to parse the response
+    try:
+        data = json.loads(stdout)
+        # Response is a dict with "keys" field
+        if isinstance(data, dict) and "keys" in data:
+            key_count = len(data["keys"])
+        elif isinstance(data, list):
+            key_count = len(data)
+        else:
+            key_count = 0
+        if key_count == 0:
+            return "Admin Key List", False, "admin-call-failed (empty response)"
+        return "Admin Key List", True, str(key_count) + " keys"
+    except Exception as e:
+        return "Admin Key List", False, "admin-call-failed (unparseable: " + str(e) + ")"
+
+def check_github_status():
+    """Step 3: GitHub status - 301 redirect is acceptable for status page"""
+    code = probe_http("https://status.github.com/api/status.json", timeout=15)
+    # GitHub status API returns 301 redirect, which is expected behavior
+    return "GitHub Status", code == 301, str(code)
+
+def check_prometheus():
+    """Step 4: Prometheus health"""
+    code = probe_http("http://" + BACKEND_HOST + ":9090/-/healthy")
+    return "Prometheus", code == 200, str(code) + " (target: " + BACKEND_HOST + ":9090/-/healthy)"
+
+def check_grafana():
+    """Step 9: Grafana health"""
+    code = probe_http("http://" + BACKEND_HOST + ":3001/api/health")
+    return "Grafana", code == 200, str(code) + " (target: " + BACKEND_HOST + ":3001/api/health)"
+
+def check_docker_stats():
+    """Step 10: Docker Stats health - fetch from CT 116 host"""
+    # Docker stats is on localhost from CT 116
+    cmd = "ssh -o BatchMode=yes root@192.168.68.116 'curl -s http://127.0.0.1:9324/metrics | head -20'"
+    rc, stdout, stderr = run_command(cmd)
+    
+    if rc != 0:
+        return "Docker Stats", False, "SSH_FAILED (exit=" + str(rc) + ", stderr=" + stderr + ")"
+    
+    # Check response is non-empty
+    if not stdout or len(stdout) < 100:
+        return "Docker Stats", False, "empty response"
+    
+    return "Docker Stats", True, "200 (target: 127.0.0.1:9324/metrics from CT 116)"
+
+def main():
+    print("🏥 LiteLLM Health Check v1.0.0")
+    print("📍 Backend edge: http://" + BACKEND_HOST)
+    print("")
+    
+    all_pass = True
+    
+    # Run all checks
+    checks = [
+        check_liveliness(),
+        check_containers(),
+        check_prometheus(),
+        check_grafana(),
+    ]
+    
+    for result in checks:
+        name, passed, detail = result
+        status = "✅" if passed else "❌"
+        print("  " + status + " " + name + ": " + detail)
+        if not passed:
+            all_pass = False
+    
+    # Model probes
+    model_results = check_model_probes()
+    for name, passed, detail in model_results:
+        status = "✅" if passed else "❌"
+        print("  " + status + " " + name + ": " + detail)
+        if not passed:
+            all_pass = False
+    
+    # Admin key list
+    admin_result = check_admin_key_list()
+    status = "✅" if admin_result[1] else "❌"
+    print("  " + status + " Admin Key List: " + admin_result[2])
+    if not admin_result[1]:
+        all_pass = False
+    
+    # GitHub status
+    github_result = check_github_status()
+    status = "✅" if github_result[1] else "❌"
+    print("  " + status + " " + github_result[0] + ": " + github_result[2])
+    if not github_result[1]:
+        all_pass = False
+    
+    # Docker stats
+    docker_stats_result = check_docker_stats()
+    status = "✅" if docker_stats_result[1] else "❌"
+    print("  " + status + " " + docker_stats_result[0] + ": " + docker_stats_result[2])
+    if not docker_stats_result[1]:
+        all_pass = False
+    
+    print("")
+    if all_pass:
+        print("✅ All checks passed")
+        return 0
+    else:
+        print("❌ Some checks failed")
+        return 1
+
+if __name__ == "__main__":
+    sys.exit(main())

tests/test_audit_hermes_config_alias.py

@@ -132,20 +132,20 @@ def test_retired_alias_in_custom_providers_is_rejected(tmp_path):
     assert "RESULT: FAIL" in out
 
 
-def test_raw_but_live_alias_warns_but_passes(tmp_path):
-    """Raw-but-live names resolve (200), so they warn only; failing them rejects valid configs."""
+def test_retired_raw_name_fails(tmp_path):
+    """Retired raw names no longer resolve (400), so they fail; the 2026-09-12 registry change moved qwen3.6-27B-code from raw-but-live to non-resolving."""
     code, out = _run_config(
         tmp_path,
-        "raw-qwen.yaml",
+        "retired-qwen.yaml",
         BASE.format(alias="gpu-vision").replace(
             "delegation:\n  provider: harness",
             "delegation:\n  provider: harness\n  model: qwen3.6-27B-code",
         ),
     )
-    assert code == 0, out
-    assert "delegation.model = 'qwen3.6-27B-code' is a raw-but-live model name" in out
-    assert "prefer the stable alias gpu-dense" in out
-    assert "RESULT: PASS" in out
+    assert code != 0, out
+    assert "delegation.model = 'qwen3.6-27B-code' is retired and no longer resolves" in out
+    assert "use gpu-dense" in out
+    assert "RESULT: FAIL" in out
 
 
 def test_retired_alias_in_fallback_providers_is_rejected(tmp_path):