no-mistakes(document): Fix stale compression-model docs across 4 contracts

Relieves Strix Halo thermal pressure by routing compression through
syslog-auto weighted pool (55% RTX 3090, 30% Strix Halo, 15% RTX 5070).

- compression.model: strix-moe -> syslog-auto
- auxiliary.compression.model: strix-moe -> syslog-auto
- Rule 7: Updated for syslog-auto compression distribution
- Rule 8: Updated GPU workload distribution with syslog-auto pool
- Description/version banners: Added 2026-07-18 change record

gpu-fleet.prose.md

@@ -125,7 +125,7 @@ Note: All syslog-auto entries route directly to GPUs with `api_key: not-needed`.
 
 | Alias | RPM Cap | Routes To | Purpose |
 |-------|---------|-----------|---------|
-| `strix-moe` | 40 | Strix Halo | Compression tasks (MoE models) |
+| `strix-moe` | 40 | Strix Halo | Agent reasoning, compression (~30% via syslog-auto pool) (MoE models) |
 | `gpu-dense` | 500 | RTX 3090 | Heavy reasoning |
 | `gpu-light` | 500 | RTX 5070 | Vision, web extract, light tasks |
 
@@ -136,7 +136,7 @@ Note: All syslog-auto entries route directly to GPUs with `api_key: not-needed`.
 - syslog-auto → qwen → gemma → qwen3.6-35B-udq4
 
 ### Why Strix Halo RPM Is Capped
-- Direct (strix-moe): 40 RPM (tight) — Strix Halo is shared with compression tasks
+- Direct (strix-moe): 40 RPM (tight) — Strix Halo handles agent reasoning + compression via syslog-auto pool
 - Via syslog-auto: 60 RPM (moderate) — prevents flooding when multiple agents use syslog-auto simultaneously
 - Combined max: ~100 RPM across both paths — Strix Halo can sustain this at 80°C
 
@@ -284,7 +284,7 @@ History stored at `/root/data/toks-history.json` with 7-day rolling window.
 ### Stable Aliases — CRITICAL
 
 All agent configs MUST use stable role-based aliases, never model-specific names:
-- `compression.model: strix-moe` (NOT `qwen3.6-35B-udq4`)
+- `compression.model: syslog-auto` — switched from strix-moe 2026-07-18 to distribute across weighted pool (55% RTX 3090, 30% Strix Halo, 15% RTX 5070); relieves Strix Halo thermal pressure
 - `auxiliary.vision.model: gpu-light` (NOT `gemma-4-12b`)
 - `delegation.model: gpu-dense` (NOT `qwen3.6-27B-code`)
 - `auxiliary.web_extract.model: gpu-light`
@@ -295,7 +295,7 @@ When the underlying model is swapped, only the LiteLLM config changes — agent
 - 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)
 - Compression threshold 0.65: fires at ~85K (~43K headroom before 128K ceiling)
-- Mumuni compression model alias: `strix-moe` with 300s timeout
+- Mumuni compression model alias: `syslog-auto` (switched from strix-moe 2026-07-18) with 300s timeout
 
 ### Mumuni Agent Profile
 
@@ -305,8 +305,8 @@ Mumuni (CT114, 192.168.68.123) is the primary business assistant. This profile i
 |---------|-------|-------|
 | `model.default` | `syslog-auto` | Weighted pool (55% qwen, 30% strix, 15% gemma) |
 | `model.provider` | `custom:litellm` | LiteLLM on CT116 |
-| `compression.model` | `strix-moe` | Stable alias — survives model swaps |
-| `aux.compression.model` | `strix-moe` | Compression auxiliary model |
+| `compression.model` | `syslog-auto` | Switched from strix-moe 2026-07-18 — distributes across weighted pool |
+| `aux.compression.model` | `syslog-auto` | Compression auxiliary — switched from strix-moe 2026-07-18 |
 | `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) |
@@ -318,7 +318,7 @@ Mumuni (CT114, 192.168.68.123) is the primary business assistant. This profile i
 | `personalities` | `creative` | Creative assistant personality |
 | Platforms | cli, discord, homeassistant, signal, telegram, zulip | All Hermes platforms |
 | Main model timeout | 300s | LiteLLM global timeout |
-| Compression model timeout | 300s | strix-moe timeout increased from 120s |
+| Compression model timeout | 300s | syslog-auto timeout (switched from strix-moe 2026-07-18) |
 
 ### Agent Update Status (2026-07-15)
 

gpu-self-heal.prose.md

@@ -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) | Genesis Hermes V3 APEX (LuffyTheFox, 24GB) | ~10/64GB (16%) | 128K | 62.9 | Agent reasoning, compression (~30% via syslog-auto pool), 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.
@@ -157,7 +157,7 @@ Key notes:
 - **Target distribution**:
   - 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).
+  - Strix Halo (strix-moe, 64GB, 62.9 tok/s) → Agent reasoning, compression (~30% via syslog-auto pool), 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

hermes-agent-baseline.prose.md

@@ -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 (RTX 3090 .8, RTX 5070 .110, Strix Halo .15). Parallel 1 fleet-wide (compression via syslog-auto pool — switched from strix-moe 2026-07-18).
 author: Abiba (pi agent)
 ---
 

hermes-config-template.prose.md

@@ -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.
-# gpu-light = RTX 5070 (12B), freeing the Strix Halo for agent reasoning.
+# Compression uses syslog-auto (switched from strix-moe 2026-07-18) to distribute
+# 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)
-- Vision and web_extract use `gemma-4-12b` (RTX 5070 — 12GB, vision-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.
+### Rule 7: Auxiliary Model Consistency (UPDATED 2026-07-18)
+- Vision and web_extract use `gpu-light` (stable alias, RTX 5070 — 12GB, vision-optimized)
+- Compression now uses `syslog-auto` (switched from `strix-moe` 2026-07-18) to distribute
+  compression load across the weighted pool (55% RTX 3090, 30% Strix Halo, 15% RTX 5070).
+  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 on Strix Halo**: The strix-moe alias routes to Strix Halo
-  (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.
+- **Compression via syslog-auto**: Routes through the weighted pool. Strix Halo still handles
+  ~30% of compression calls (at 60 RPM via pool vs 40 RPM direct), but the bulk (55%)
+  goes to RTX 3090 which has ample spare capacity.
 - 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)
-- **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
+### Rule 8: GPU Workload Distribution (UPDATED 2026-07-18)
+- **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 — handles ~15% of compression via syslog-auto pool
+- **Strix Halo (64GB, 128K ctx, Genesis Hermes V3 APEX)**: 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.web_extract.model: gemma-4-12b` (RTX 5070)
-  - `auxiliary.compression.model: strix-moe` (Strix Halo)
+  - `auxiliary.vision.model: gpu-light` (RTX 5070)
+  - `auxiliary.web_extract.model: gpu-light` (RTX 5070)
+  - `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

inference-optimization.prose.md

@@ -57,7 +57,7 @@ duration.
 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
+  queries; gemma for vision/web extraction; syslog-auto for compression (via weighted pool). 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%).

zulip-resilience-v3.prose.md

@@ -409,3 +409,68 @@ Backup v2 before starting: `cp index.js index.js.v2-backup-$(date +%Y%m%d-%H%M%S
 | Queue expiry handling | Crash | Auto re-register |
 | Busy worker deadlock | Router death | Worker SIGKILL + error DM |
 | PM2 restart exhaustion | Yes (max_restarts=10) | No (max_restarts=100 + watchdog) |
+
+---
+
+## Incident Log — 2026-07-18 Fleet-Wide Audit
+
+### Fleet State After Audit
+
+| Agent | Platform | Zulip State | Issues Found | Fix Applied |
+|-------|----------|-------------|--------------|-------------|
+| **Abiba** | pi (CT 100) | ✅ Connected | API key missing from Infisical injection; poll timeout noise | Added .env fallback; AbortError treated as empty poll (no retry); poll timeout 65s→90s |
+| **Tanko** | Hermes (CT 112) | ✅ Connected | Gateway disconnected since Jul 11; watchdog restart didn't re-establish Zulip | Full gateway restart (kill wrapper, let infisical-gateway.sh respawn) |
+| **Mumuni** | Hermes (CT 114) | ✅ Connected | No issues found | None needed |
+
+### Key Fixes Applied
+
+**1. Abiba — Credential Fallback (L4 Pattern)**
+- Root cause: `zulip.api_key` in config.yaml is `""` (expected from Infisical). Infisical vault `ABIBA_ZULIP_API_KEY` wasn't being injected into the process environment.
+- Fix: Added `.env` file fallback at `/root/.pi/agent/extensions/zulip/.env` with known-working key, sourced before the Infisical `exec`.
+- Lesson: Per L4 from gpu-self-heal, Infisical is not always available — always keep a local `.env` fallback.
+
+**2. Abiba — Poll Timeout Handling**
+- Root cause: Zulip long-poll uses `AbortSignal.timeout(65000)`. Zulip's default `event_queue_longpoll_timeout_seconds` can exceed 65s. When the signal fires, an `AbortError` is thrown and caught by the circuit breaker as a failure.
+- Fix: Caught `AbortError` inside `poll()` and return empty array (no events) instead of throwing. Extended timeout to 90s to match Zulip server default.
+- Reference: [Zulip Events System — long-poll timeout](https://zulip.readthedocs.io/en/11.6/subsystems/events-system.html)
+
+**3. Tanko — Gateway Restart**
+- Root cause: Gateway process was running but Zulip platform stayed in "disconnected" state since Jul 11, 2026. The wrapper script (`infisical-gateway.sh`) restarts on crash but the gateway wasn't re-establishing Zulip on restart.
+- Fix: Killed gateway PID to trigger wrapper restart. New gateway (PID 331991) established Zulip connection successfully.
+
+### Fleet-Wide Zulip Health Metrics (as of 2026-07-18)
+
+| Metric | Value |
+|--------|-------|
+| Zulip server | ✅ HTTP 200 |
+| Agents connected | 3/3 (Abiba, Tanko, Mumuni) |
+| Abiba circuit breaker | CLOSED (0 failures) |
+| Abiba uptime | 2D (post-restart) |
+| Tanko gateway uptime | Ongoing |
+| Mumuni gateway uptime | Ongoing |
+| Watchdog status | ✅ Online (2D uptime) |
+
+### Hermes Agent Zulip Plugin Improvements
+
+Based on the audit, improvements that should be ported to all Hermes Zulip adapters:
+
+1. **Circuit breaker pattern** — Already in Abiba's pi extension. Hermes adapters should add the same CLOSED→OPEN→HALF_OPEN state machine with exponential backoff.
+2. **Credential fallback** — All Hermes agents use Infisical for credentials. Add `.env` local fallback per L4 pattern for `ZULIP_API_KEY`.
+3. **Queue re-registration** — Handle `BAD_EVENT_QUEUE_ID` with automatic re-registration instead of gateway restart.
+4. **Supervisor watchdog** — Hermes uses PM2 which auto-restarts on crash, but has no health-check watchdog. Add lightweight external health checks.
+5. **Streaming** — All agents have `streaming: true` in their zulip config. Verify `edit_message()` is implemented in each adapter.
+
+### Abiba pi Zulip Extension v2 — Implemented Resilience Summary
+
+| Feature | Status | Notes |
+|---------|--------|-------|
+| Circuit breaker | ✅ | CLOSED→OPEN→HALF_OPEN; 50% failure threshold; 30s reset timeout |
+| Retry with jitter | ✅ | 2 attempts, 200ms base, 50-100% jitter |
+| Queue lifecycle | ✅ | 10min idle_queue_timeout; BAD_EVENT_QUEUE_ID handling |
+| Crash prevention | ✅ | uncaughtException + unhandledRejection recovery |
+| Worker timeout | ✅ | 5min busy timeout → SIGKILL + error DM |
+| Health endpoint | ✅ | :9200 with circuit breaker metrics |
+| Echo prevention | ✅ | Dynamic bot user resolution |
+| Poll timeout (AbortError) | ✅ v2.1 | Normal timeout returns [] instead of error |
+| Credential fallback | ✅ v2.1 | .env file before Infisical exec |
+| Provider auto-fix | ✅ | Detects reasoning_content models, switches to compatible |