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Frank 689228e60d docs: purge the retired workstation from the knowledge base

Second half of the purge (the first covered the persona, AGENTS.md, README.md,
and the distillation of the per-host pages). Every remaining identifier is
gone: hostname, both LAN addresses, and the Wi-Fi SSID.

34 count-checked substitutions across 22 files — indexes, tool/research pages,
the inventory census, the changelog, one generated HTML report, and five
managed skills. Facts kept, names dropped: a history entry keeps its four-page
listing as a nameless summary, the syslog excerpts keep every timestamp and
line, and the census keeps the .zcompdump rows (the zsh version stamps are the
useful part, the hostname was not).

Deliberately unchanged: install.sh's --host case list and the
packages/<hostname>.pkgs filename, where the hostname is the lookup key.

Left out of scope by Frank's call: agent/memories/** — past-session records the
learn pipeline rewrites.

kb-lint: 0 violations. Residual grep for the hostname, its two IPs, and the
SSID across omp-docs/ and agent/managed-skills/: no hits.

2026-09-28 16:37:38 -07:00

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description

Dankserver

Primary llama.cpp inference server for the Frank Program. Serves frank-default-small — a fast, capable model with image support.

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

Model

Property	Value
Model ID	`frank-default-small`
Context Window	163,840 tokens
Reasoning	Supported
Input Types	Text, Image (unverified)

Usage

Dankserver serves the small subagent model frank-default-small. Small subagent roles route here unless a role override picks a different model.

# 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-default-small","messages":[{"role":"user","content":"Hello"}],"max_tokens":32}'

Hardware

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

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).

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