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Docs: system pages realigned to live ground truth; sibling-vault overlap census

Browse Source 
Census against serverAppConfigs-docs + read-only ssh probes on both boxes
(2026-10-18). Corrections to OURS, flags only for THEIRS:

- Hardware drift: RTX 3090 moved dankserver->dankclaw 2026-09; dankserver
  now 2x Radeon AI PRO R9700 (Ryzen 7 7700X stays), 246 GiB RAM, no swap;
  dankclaw 121 GiB RAM + 64 GiB swap. Served: frank-archon radiance TP=2
  (:7770 dankserver), frank-dragoon halogen NATIVE v2 (:7770 dankclaw
  iGPU), frank-zealot llama.cpp PrismML Ternary-Bonsai-2-27B PQ2_0
  (:7771 dankclaw, 3090). Kernel 7.0.0-38 both; dankclaw :7770 no auth.
- Gitea: gitea-caddy quadlet retired (fleet Caddy fronts the domain);
  data tree moved to /home/dank/Containers/gitea/ (2026-09-01 standard),
  /opt/gitea is a do-not-use leftover; LAN IP + live domain.
- pi-era pages (core/settings, pi/models + role tables) demarcated as
  ARCHIVE with banners; llama-cpp fleet note modernized.
- AGENTS.md machine-facts table corrected (it still routed prod warnings
  at frank-default-large).

Their-side staleness flagged in the changelog entry for the operator,
not edited: OMP Harness thresholdPercent 70 (live is 95), Ubuntu 24.04
OS table, 2026-09-03 stack mapping, superseded pi-KB backlink.

Refs #5
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omp-docs/system/dankclaw.md
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@@ -1,83 +1,79 @@
---
type: reference
title: Dankclaw
description: Secondary inference server at 192.168.0.143. Runs llama.cpp (frank-default-large).
description: Inference and services box at 192.168.0.143 — frank-dragoon (halogen-flash-server, Strix Halo iGPU, :7770) and frank-zealot (llama.cpp on the RTX 3090, :7771), plus Gitea/Caddy/OpenWebUI services.
tags:
- network
- llamacpp
- inference
- server
- comfyui
- unverified
generated:
by: chief-designer/agent
at: 2026-08-26T00:00:00Z
verified: 2026-08-28
verified: 2026-10-18
---
# Dankclaw
Secondary llama.cpp inference server for the Frank Program. Serves larger models used by planner, worker, reviewer, oracle, and context-builder subagents.
Strix Halo mini-PC carrying the fleet's secondary models and most of the
service stack (Gitea, Caddy, OpenWebUI, SearXNG). Two GPU-class devices: the
Radeon 8060S iGPU with 119 GiB unified memory, and the RTX 3090 moved over
from Dankserver in September 2026.
## Connection Details
| Property | Value |
|----------|-------|
| **Hostname** | dankclaw |
| **IP Address** | 192.168.0.143 |
| **Port** | 7770 |
| **Base URL** | `http://192.168.0.143:7770/v1` |
| **API** | OpenAI-compatible completions |
| **Authentication** | API key configured |
| **IP Address** | 192.168.0.143 (LAN) |
| **Auth** | none required on :7770 (verified 2026-10-18) |
## Models
## Inference Services
| Model ID | Context Window | Reasoning | Input Types |
|----------|---------------|-----------|-------------|
| `frank-default-large` | 262,144 tokens | Yes | Text, *Image* (unverified) |
| Model ID | Unit | Endpoint | Engine / weights |
|----------|------|----------|------------------|
| `frank-dragoon` | `frank-dragoon.service` (root) | `:7770` | halogen-flash-server container — Quat3rnion NATIVE v2 abliterated Qwen3.8-Flash-Next, MTP spec decode, 2 slots over ONE 200,704-position pool, vision ON, **Strix Halo iGPU** (unified memory) |
| `frank-zealot` | `frank-zealot.service` (root) | `:7771` | llama.cpp (PrismML fork, build 10754) — Ternary-Bonsai-2-27B PQ2_0 GGUF (qwen35 hybrid), 2×200,704 slots, q8_0 K+V, mmproj vision, **RTX 3090** |
## Services
### llama.cpp
| Property | Value |
|----------|-------|
| **Port** | 7770 |
| **Models** | `frank-default-large` |
## Hardware
| Property | Value |
|----------|-------|
| **CPU** | AMD Ryzen AI MAX+ 395 (16C/16T, Strix Halo) |
| **GPU** | Radeon 8060S integrated (gfx1151, amdgpu) |
| **RAM** | 119 GiB |
| **Storage** | Kingston SNV3S1000G NVMe (931.5 GB), ~676 GB free |
| **OS** | Ubuntu 26.04 LTS, kernel 7.0.0-30-generic |
| **ROCm** | 7.2.4 (driver: 7.0.0-30-generic) |
| **Python** | 3.14.4 (system) |
## Usage
Dankclaw handles complex tasks delegated by subagent overrides. The `frank-default-large` model provides extended context. *Multimodal input support is unverified.*
Harness-side context windows (`agent/models.yml`): dragoon 155,648,
zealot 200,704 per slot. The models.yml display labels "(dankclaw-gpu)" /
"(dankclaw-3090)" predate naming cleanup; the hardware column above is
current. Subagent roles `scout`, `sonic`, `designer`, `librarian`,
`security-reviewer` route to frank-zealot; `reviewer`/`task` run on
frank-archon (Dankserver).
```bash
# Health check
curl http://192.168.0.143:7770/health
# Test with large model
curl http://192.168.0.143:7770/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <key>" \
-d '{"model":"frank-default-large","messages":[{"role":"user","content":"Hello"}],"max_tokens":32}'
curl http://192.168.0.143:7770/v1/models # dragoon
curl http://192.168.0.143:7771/v1/models # zealot
```
## Related Knowledge Bases (sibling project on the workstation)
## Hardware (verified live 2026-10-18)
- **serverAppConfigs** — `/home/dank/Projects/serverAppConfigs/` — Podman deployment config for this host (AI, search, development, observability stack, incl. the Hermes compose service) **plus the LLM inference fleet** (frank-default-large, CIRU ROCmFPX llama.cpp, :7770). The former `vllmScripts` repo merged into it on 2026-08-22 (history preserved). Start at `/home/dank/Projects/serverAppConfigs/docs/index.md` (see `dankclaw/compose.yaml` + `docs/Dankclaw/`; LLM fleet at `docs/LLM/index.md`, deploy runbook at `docs/LLM/deployment.md`).
| Property | Value |
|----------|-------|
| **CPU/APU** | AMD Ryzen AI MAX+ 395 (Strix Halo, Radeon 8060S, gfx1151) |
| **dGPU** | NVIDIA GeForce RTX 3090 (moved from Dankserver 2026-09) |
| **RAM** | 121 GiB (mostly usable as GPU unified memory) |
| **Swap** | 64 GiB |
| **OS** | Ubuntu 26.04 LTS, kernel 7.0.0-38-generic |
The pre-rename story (`frank-default-large` on ROCmFPX llama.cpp/CIRU,
262,144-token context) was superseded by the 2026-10-08/09 model-id rename
and the dragoon/zealot engine swaps; the 119→121 GiB RAM figure follows the
live `free` reading.
## Related Knowledge Bases (sibling project)
- **serverAppConfigs** — deployment repo + vault, on this workstation at
`~/Projects/serverAppConfig/` (docs vault: `~/Projects/serverAppConfig/serverAppConfigs-docs/`).
Live runbooks: `LLM/frank-dragoon-flash-server-v2-native.md` and
`LLM/frank-zealot-llama-prism-bonsai2-pq20.md` — deploy-side source of
truth for engines, flags, and restart procedures. Service stack docs under
`Dankclaw/`, `Infrastructure/`.
## See Also
- [[models|models]] — Provider definitions
- [[dankserver|dankserver]] — Primary server
- [[dankserver|dankserver]] — the main-model box (frank-archon)
- [/tools/gitea/index.md](/tools/gitea/index.md) — Gitea stack on this host
- [[network|network]] — Network topology
omp-docs/system/dankserver.md
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@@ -1,22 +1,24 @@
---
type: reference
title: Dankserver
description: Primary llama.cpp inference server at 192.168.0.235:7770, serving frank-default-small with 163,840-token context window.
description: Radiance inference server at 192.168.0.235:7770, serving frank-archon (Qwen3.8-Flash-Next iq4r, 2x R9700 TP=2, 200,000-token context).
tags:
- network
- llamacpp
- inference
- server
- unverified
generated:
by: chief-designer/agent
verified: 2026-08-28
verified: 2026-10-18
status: stable
---
# Dankserver
Primary llama.cpp inference server for the Frank Program. Serves `frank-default-small` — a fast, capable model with image support.
Primary inference server for the Frank Program. Serves `frank-archon`, the
main agent model, from a pair of Radeon AI PRO R9700s (tensor-parallel 2).
The RTX 3090 that used to live here was removed 2026-09-15 and now runs on
Dankclaw.
## Connection Details
@@ -28,19 +30,24 @@ Primary llama.cpp inference server for the Frank Program. Serves `frank-default-
| **Base URL** | `http://192.168.0.235:7770/v1` |
| **API** | OpenAI-compatible completions |
| **Authentication** | None |
| **Systemd unit** | `frank-archon.service` (root) |
## Model
| Property | Value |
|----------|-------|
| **Model ID** | `frank-default-small` |
| **Context Window** | 163,840 tokens |
| **Reasoning** | Supported |
| **Input Types** | Text, *Image* (unverified) |
| **Model ID** | `frank-archon` (display name `frank-archon`) |
| **Weights** | Qwen3.8-Flash-Next, radiance iq4r (publisher build) |
| **Engine** | radiance, tensor-parallel 2 across both R9700s |
| **Context Window** | 200,000 tokens (harness `models.yml`; served pool may differ — see runbook) |
`frank-medium` (former dual-GPU mid tier) is masked and retired.
## Usage
Dankserver serves the small subagent model `frank-default-small`. Small subagent roles route here unless a role override picks a different model.
Dankserver carries the main-session model. Subagent role overrides in
`agent/models.yml` route here for `task` and `reviewer`; scout/sonic/designer
route to Dankclaw.
```bash
# Health check
@@ -49,27 +56,34 @@ curl http://192.168.0.235:7770/health
# Quick test
curl http://192.168.0.235:7770/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{"model":"frank-default-small","messages":[{"role":"user","content":"Hello"}],"max_tokens":32}'
-d '{"model":"frank-archon","messages":[{"role":"user","content":"Hello"}],"max_tokens":32}'
```
## Hardware
## Hardware (verified live 2026-10-18)
| Property | Value |
|----------|-------|
| **CPU** | AMD Ryzen 7 7700X (8C/16T, Raphael) |
| **GPU** | NVIDIA GeForce RTX 3090 (24 GiB VRAM, EVGA) |
| **RAM** | 60 GiB |
| **Swap** | 64 GiB (/swapfile) |
| **Storage** | Kingston SNV3S1000G NVMe (931.5 GB) + md0 RAID (6×18.2T Toshiba, /mnt/entropy, 91T) |
| **OS** | Ubuntu 26.04 LTS, kernel 7.0.0-30-generic |
| **NVIDIA Driver** | 595.84 |
| **CPU** | AMD Ryzen 7 7700X (8C/16T, Raphael iGPU on board) |
| **GPU** | 2× AMD Radeon AI PRO R9700 (Navi 48, 32 GiB each) |
| **RAM** | 246 GiB |
| **Swap** | effectively none (~0.1 GiB) — the 64 GiB swapfile is on Dankclaw, not here |
| **Storage** | 7× 18.2 TB HDD + 1.8 TB NVMe (layout owned by the deploy repo) |
| **OS** | Ubuntu 26.04.1 LTS, kernel 7.0.0-38-generic |
## Related Knowledge Bases (sibling project on the workstation)
The old page (verified 2026-08-28) listed an RTX 3090, 60 GiB RAM, and a
64 GiB swapfile here; all three were superseded by the 2026-09 hardware swap.
- **serverAppConfigs** — `/home/dank/Projects/serverAppConfigs/` — Podman deployment config for this host (media and library stack: RomM, Copyparty, Calibre-Web) **plus the LLM inference fleet** (frank-default-small, llama.cpp, :7770). The former `vllmScripts` repo merged into it on 2026-08-22 (history preserved). Start at `/home/dank/Projects/serverAppConfigs/docs/index.md` (see `dankserver/compose.yaml` + `docs/Dankserver/`; LLM fleet at `docs/LLM/index.md`, deploy runbook at `docs/LLM/deployment.md`).
## Related Knowledge Bases (sibling project)
- **serverAppConfigs** — deployment repo + vault, on this workstation at
`~/Projects/serverAppConfig/` (docs vault: `~/Projects/serverAppConfig/serverAppConfigs-docs/`).
Podman/quadlet deploy config for both servers plus the LLM inference fleet.
The live frank-archon runbook (engine flags, KV pool sizing, restart
procedures) is `LLM/frank-archon-radiance-qwen38-iq4r.md` in that vault —
it, not this page, is the deploy-side source of truth.
## See Also
- [[models|models]] — Provider definitions
- [[dankclaw|dankclaw]] — Secondary server
- [[dankclaw|dankclaw]] — the other inference box (dragoon + zealot)
- [[network|network]] — Network topology
- [/pi/statusline.md](/pi/statusline.md) — where these models surface in the TUI
omp-docs/system/index.md
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@@ -11,8 +11,8 @@ Dankclaw are the inference servers it talks to.
## Network Systems
- [Dankserver](/system/dankserver.md) — Primary llama.cpp inference server at 192.168.0.235:7770, serving `frank-default-small` (163,840-token context). AMD Ryzen 7 7700X, RTX 3090, Ubuntu 26.04.
- [Dankclaw](/system/dankclaw.md) — Secondary inference server at 192.168.0.143:7770, serving `frank-default-large` (262,144-token context). AMD Ryzen AI MAX+ 395 (Strix Halo), Ubuntu 26.04, ROCm.
- [Dankserver](/system/dankserver.md) — Main-model inference server at 192.168.0.235:7770, serving `frank-archon` (radiance Qwen3.8-Flash-Next, 200K ctx). AMD Ryzen 7 7700X, 2× Radeon AI PRO R9700, Ubuntu 26.04.
- [Dankclaw](/system/dankclaw.md) — Secondary inference + services box at 192.168.0.143: `frank-dragoon` (:7770, halogen-flash-server on the Strix Halo iGPU) and `frank-zealot` (:7771, llama.cpp on the RTX 3090). AMD Ryzen AI MAX+ 395, Ubuntu 26.04.
## Infrastructure Diagram
@@ -26,8 +26,8 @@ graph TB
end
subgraph Network[192.168.0.0/24]
E[dankserver<br/>192.168.0.235:7770<br/>frank-default-small]
F[dankclaw<br/>192.168.0.143:7770<br/>frank-default-large]
E[dankserver<br/>192.168.0.235:7770<br/>frank-archon]
F[dankclaw<br/>192.168.0.143:7770 dragoon<br/>:7771 zealot]
end
D --> E
@@ -42,7 +42,7 @@ graph TB
The fleet has one sibling OKF knowledge base outside this bundle. Read it for
deployment and inference details. This bundle links to it from the server pages.
* **serverAppConfigs** — `/home/dank/Projects/serverAppConfigs/` (index: `/home/dank/Projects/serverAppConfigs/docs/index.md`). Podman deployment configuration for both servers: compose files, Caddy reverse proxy, deploy scripts, bats tests, and the Obsidian-vault service docs (Dankclaw, Dankserver, Architecture, Infrastructure) — **plus the LLM inference fleet** (merged from the former `vllmScripts` repo on 2026-08-22, history preserved): llama.cpp on Dankserver (:7770, `frank-default-small`) and CIRU ROCmFPX llama.cpp on Dankclaw (:7770, `frank-default-large`). LLM fleet docs: `docs/LLM/index.md`; deploy runbook: `docs/LLM/deployment.md`.
* **serverAppConfigs** — deploy repo + Obsidian vault, on this workstation at `~/Projects/serverAppConfig/` with docs in `~/Projects/serverAppConfig/serverAppConfigs-docs/` (root `index.md` at the vault top — the old `docs/` prefix is gone). Podman deployment configuration for both servers: compose/quadlet files, Caddy reverse proxy, deploy scripts, bats tests, and the vault service docs (Dankclaw, Dankserver, Architecture, Infrastructure) — **plus the LLM inference fleet** (merged from the former `vllmScripts` repo on 2026-08-22, history preserved): radiance frank-archon on Dankserver (:7770), halogen frank-dragoon (:7770) and llama.cpp frank-zealot (:7771) on Dankclaw. The vault's `LLM/` runbooks are the deploy-side source of truth; this bundle documents the agent/harness side.
## Related