Fix: update compression model to syslog-auto across contract and audit (Rule 7)
- Updated hermes-config-template.prose.md: all references to strix-moe for compression changed to syslog-auto to match operational decision on 2026-07-23 (prevents sustained Strix Halo thermal load via weighted pool). - Updated audit-hermes-config.py Rule 7 to expect syslog-auto instead of strix-moe, ensuring Abiba's next run validates against the correct baseline.
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@@ -77,15 +77,15 @@ def audit(path):
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# --- Rule 7: Auxiliary Model Consistency ---
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check(
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comp.get("model") == "strix-moe",
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comp.get("model") == "syslog-auto",
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"Rule 7",
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f"compression.model must be strix-moe (got {comp.get('model')!r}) — only valid compression model",
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f"compression.model must be syslog-auto (got {comp.get('model')!r}) — auto-routing to prevent Strix Halo overload",
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)
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aux_comp = aux.get("compression", {})
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check(
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aux_comp.get("model") == "strix-moe",
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aux_comp.get("model") == "syslog-auto",
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"Rule 7",
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f"auxiliary.compression.model must be strix-moe (got {aux_comp.get('model')!r}) — must match compression.model",
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f"auxiliary.compression.model must be syslog-auto (got {aux_comp.get('model')!r}) — must match compression.model",
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)
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# --- Rule 8: GPU Workload Distribution ---
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@@ -130,7 +130,7 @@ mcp_servers:
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# ─── Compression ───
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compression:
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enabled: true
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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).
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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).
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provider: harness
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max_context_window: 131072 # MUST match actual GPU capacity. All 3 GPUs are 128K (Jul 17).
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threshold: 0.65 # Fires at ~170K for 262K window, ~85K for 128K
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@@ -166,7 +166,7 @@ auxiliary:
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timeout: 30
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compression:
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provider: harness
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model: strix-moe # MUST match compression.model above. Stable alias for Strix Halo.
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model: syslog-auto # MUST match compression.model above. Stable alias for Strix Halo (weighted pool).
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base_url: http://192.168.68.116/v1 # Rule 5: /v1 NOT /litellm/v1
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api_key_env: LITELLM_API_KEY
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timeout: 300 # gpu-fleet: 300s for large-history summarization (was 60)
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@@ -252,6 +252,11 @@ The following MUST be identical across ALL profiles:
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- Compression uses `strix-moe` (stable alias for Strix Halo — 64GB, 128K ctx, compression-optimized)
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- **`strix-moe` is the only valid compression model name** — LiteLLM does NOT serve `ornith-1.0-35b`
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(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.
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- **OPERATIONAL DECISION (2026-07-23): Use `syslog-auto` for compression across all agents.**
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The `syslog-auto` alias routes to the Strix Halo, but uses the weighted pool instead of pinning
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to `strix-moe` directly. This prevents sustained Strix Halo thermal load because the pool can
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fall back to other GPUs if Strix gets hot. Both `compression.model` and `auxiliary.compression.model`
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MUST be `syslog-auto`.
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- All auxiliary services MUST use identical routing:
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- `base_url: http://192.168.68.116/v1` (Rule 5: `/v1`, NOT `/litellm/v1`)
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- `api_key_env: LITELLM_API_KEY`
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@@ -265,11 +270,11 @@ The following MUST be identical across ALL profiles:
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### Rule 8: GPU Workload Distribution (UPDATED 2026-07-16)
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- **RTX 3090 (24GB, 128K ctx, qwen3.6-27B-code)**: Heavy reasoning, code gen, long conversations
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- **RTX 5070 (12GB, 128K ctx, gemma-4-12b)**: Vision, web search, quick tasks, web_extract (IQ4_NL+MTP, ~65% VRAM at 128K)
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- **Strix Halo (64GB, 128K ctx, strix-moe)**: Context compression, summarization, long docs
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- **Strix Halo (64GB, 128K ctx, syslog-auto)**: Context compression, summarization, long docs
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- Agent profiles MUST route auxiliary tasks to the correct GPU:
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- `auxiliary.vision.model: gemma-4-12b` (RTX 5070)
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- `auxiliary.web_extract.model: gemma-4-12b` (RTX 5070)
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- `auxiliary.compression.model: strix-moe` (Strix Halo)
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- `auxiliary.compression.model: syslog-auto` (Strix Halo)
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- Default model (`model.default`) and custom_provider remain `syslog-auto` for auto-routing
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- For 128K context window: `threshold: 0.65` (fires at ~85K tokens)
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- Do NOT use `threshold: 0.25` — this fires at 65K, causing premature context loss
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