no-mistakes(document): Fix stale compression-model docs across 4 contracts
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Abiba Bot
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@@ -125,7 +125,7 @@ Note: All syslog-auto entries route directly to GPUs with `api_key: not-needed`.
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| Alias | RPM Cap | Routes To | Purpose |
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|-------|---------|-----------|---------|
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| `strix-moe` | 40 | Strix Halo | Compression tasks (MoE models) |
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| `strix-moe` | 40 | Strix Halo | Agent reasoning, compression (~30% via syslog-auto pool) (MoE models) |
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| `gpu-dense` | 500 | RTX 3090 | Heavy reasoning |
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| `gpu-light` | 500 | RTX 5070 | Vision, web extract, light tasks |
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@@ -136,7 +136,7 @@ Note: All syslog-auto entries route directly to GPUs with `api_key: not-needed`.
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- syslog-auto → qwen → gemma → qwen3.6-35B-udq4
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### Why Strix Halo RPM Is Capped
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- Direct (strix-moe): 40 RPM (tight) — Strix Halo is shared with compression tasks
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- Direct (strix-moe): 40 RPM (tight) — Strix Halo handles agent reasoning + compression via syslog-auto pool
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- Via syslog-auto: 60 RPM (moderate) — prevents flooding when multiple agents use syslog-auto simultaneously
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- Combined max: ~100 RPM across both paths — Strix Halo can sustain this at 80°C
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@@ -284,7 +284,7 @@ History stored at `/root/data/toks-history.json` with 7-day rolling window.
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### Stable Aliases — CRITICAL
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All agent configs MUST use stable role-based aliases, never model-specific names:
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- `compression.model: strix-moe` (NOT `qwen3.6-35B-udq4`)
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- `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
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- `auxiliary.vision.model: gpu-light` (NOT `gemma-4-12b`)
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- `delegation.model: gpu-dense` (NOT `qwen3.6-27B-code`)
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- `auxiliary.web_extract.model: gpu-light`
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@@ -295,7 +295,7 @@ When the underlying model is swapped, only the LiteLLM config changes — agent
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- RTX 3090: **128K** (reduced from 256K 2026-07-17) | RTX 5070: **128K** (reduced from 256K) | Strix Halo: **128K**
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- **All agents**: 128K ceiling — stable margin. For >128K workloads, use external providers (deepseek)
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- Compression threshold 0.65: fires at ~85K (~43K headroom before 128K ceiling)
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- Mumuni compression model alias: `strix-moe` with 300s timeout
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- Mumuni compression model alias: `syslog-auto` (switched from strix-moe 2026-07-18) with 300s timeout
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### Mumuni Agent Profile
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@@ -305,8 +305,8 @@ Mumuni (CT114, 192.168.68.123) is the primary business assistant. This profile i
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|---------|-------|-------|
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| `model.default` | `syslog-auto` | Weighted pool (55% qwen, 30% strix, 15% gemma) |
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| `model.provider` | `custom:litellm` | LiteLLM on CT116 |
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| `compression.model` | `strix-moe` | Stable alias — survives model swaps |
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| `aux.compression.model` | `strix-moe` | Compression auxiliary model |
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| `compression.model` | `syslog-auto` | Switched from strix-moe 2026-07-18 — distributes across weighted pool |
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| `aux.compression.model` | `syslog-auto` | Compression auxiliary — switched from strix-moe 2026-07-18 |
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| `aux.vision.model` | `gpu-light` | Vision tasks (RTX 5070) |
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| `aux.web_extract.model` | `gpu-light` | Web extraction |
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| `delegation.model` | `gpu-dense` | Sub-agent reasoning (RTX 3090) |
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@@ -318,7 +318,7 @@ Mumuni (CT114, 192.168.68.123) is the primary business assistant. This profile i
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| `personalities` | `creative` | Creative assistant personality |
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| Platforms | cli, discord, homeassistant, signal, telegram, zulip | All Hermes platforms |
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| Main model timeout | 300s | LiteLLM global timeout |
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| Compression model timeout | 300s | strix-moe timeout increased from 120s |
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| Compression model timeout | 300s | syslog-auto timeout (switched from strix-moe 2026-07-18) |
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### Agent Update Status (2026-07-15)
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@@ -46,7 +46,7 @@ depends_on:
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|-------|-----|------|-------|------|-----|-------|------|
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| `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 |
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| `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 |
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| `strix-moe` | Strix Halo 64GB | ct15 (.15:8080) | Genesis Hermes V3 APEX (LuffyTheFox, 24GB) | ~10/64GB (16%) | 128K | 62.9 | Compression, summarization, long docs |
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| `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 |
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Key notes:
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- All models use direct GPU routing via LiteLLM (`api_key: not-needed`). Router (port 9000) is deprecated and NOT in the inference path.
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@@ -157,7 +157,7 @@ Key notes:
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- **Target distribution**:
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- 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).
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- 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).
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- Strix Halo (strix-moe, 64GB, 62.9 tok/s) → Context compression, summarization, long docs (MoE model). Weight: 0.30 (LiteLLM).
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- 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).
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- **Note**: RTX 5070 is the fastest endpoint per token. Route high-volume, low-complexity work there first.
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- **Fix**:
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- Alert if any GPU is handling workload outside its designated role
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@@ -5,7 +5,7 @@ version: 1.0.0
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description: >
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Canonical known-good baseline for all Syslog Hermes agents. Captures the exact
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configuration state, keys, workarounds, and audit procedure. When an agent's
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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).
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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).
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author: Abiba (pi agent)
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---
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@@ -57,7 +57,7 @@ duration.
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prefill time at 532 tok/s. Fix context first, routing second.
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- **Route by task**: ornith for multi-step reasoning only; qwen for code/standard
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queries; gemma for compression/auxiliary. Never send simple completion to a
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queries; gemma for vision/web extraction; syslog-auto for compression (via weighted pool). Never send simple completion to a
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35B MoE.
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- **Compress aggressively**: threshold at 40% (not 65%) — a 256K window should
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compact at 102K, not 166K. Target 15% tail (not 30%).
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