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Frank 99b9a6a17c docs(pi): unify split package trees; move live OMP pages to core

Two directories documented one concept (pi npm packages): top-level
packages/ (browser-use, permission-system) and pi/packages/ (peon,
web-access, subagents). Merged into pi/packages/ — one row per package
in a single index, detail pages kept as archive records. The root
index's 'OMP packages and skills' section was doubly wrong (packages/
was pi, not OMP); it becomes a Skills tooling section pointing at the
consolidated /skills/ tree.

Moved the two LIVE omp pages out of the retired-harness banner:
pi/statusline.md -> core/statusline.md, pi/subagent-limits.md ->
core/subagent-limits.md (both document omp behavior against
agent/config.yml + the installed bundle; pi/index.md itself admitted
the mis-shelf). Retargeted every inbound link (core/index, system/
dankserver, log x2, pi/index, settings x2, moved files' own xrefs).

Refs #29

2026-10-19 03:32:07 -07:00

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type, title, description, tags, generated, verified, status

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title

description

Dankserver

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

Property	Value
Hostname	dankserver
IP Address	192.168.0.235
Port	7770
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-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 carries the main-session model. Subagent role overrides in agent/models.yml route here for task and reviewer; scout/sonic/designer route to Dankclaw.

# Health check
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-archon","messages":[{"role":"user","content":"Hello"}],"max_tokens":32}'

Hardware (verified live 2026-10-18)

Property	Value
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

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 — 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.

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