Frank 7c4dbebe24 frank-dragoon: lower the context to 200704 (ctx and pool together)
Frank's call the same evening as the native-payload cutover: HALOGEN_CTX and
HALOGEN_KV_POOL_POSITIONS both 262144 -> 200704 (a multiple of 4096, the rung
frank-zealot already runs). The checkpoint's native window is 262,144 and the
engine serves anything below it, so this is a RAM decision, not a capability
limit: the KV reservation drops 7.2 GiB -> ~5.4 (the 2026-10-06 pool measured
14.6), and by the FLAGS.md law -- RAM the pool takes is RAM that n-gram table
loses -- the freed positions become page cache for the 47.68 GiB table that
long prompts read. Engine-side total ~74 GiB instead of 75.8.

The 400-zone law is invariant to the value, so the harness moves WITH the
ceiling: models.yml contextWindow 217088 -> 155648 = ceiling - 45056, keeping
the gap that absorbs the chars/4 under-count (worst-case request ~156.2k vs
the 200,704 ceiling, ~44k margin). Compaction now fires at 85% = 132,300 est
(~136k measured); the 180k target of the 262,144 era is unreachable because
the window itself is 155,648. maxTokens 45056 and the coupled
cap/timeout 65536/7200 are untouched.

Cost stated plainly: with pool == ctx, ONE maximum-length request fills the
pool, so two long conversations never coexist (two of <=100k do). Acceptable
because frank-dragoon carries only the slow role and the security-reviewer
subagent, not the interactive workhorse.

Seam re-keyed: the fit-law test now proves the invariant at the new pair, and
the pool law (ctx <= pool <= slots * ctx) still holds with pool == ctx.
2026-10-17 22:29:22 -07:00
2026-10-15 18:22:22 -07:00

Server App Configs

AI Disclosures:

  • Slop rating: 2/5 - Actively using, actively de-slopping, repository mostly human owned, lacks formal process.
  • Completeness: Unfinished, planning planned, no plan yet
  • Datacenter model/spend: Less than $20 of Deepseek 4.1 Flash and GLM-5.3-Flash
  • Local model: Qwen 3.8 Flash Next

slop rating of 2 or lower indicates human reading is a worthwhile exercise, and that Frank has read the code and knows the architecture.

slop rating of 2 indicates that while this project is human owned, no human contribution process exists and/or release is agentically driven.

The single repository for the two homelab servers: the Podman container stacks and the LLM inference fleet. One repo, one checkout per host, one deploy script.

2026-08-22: the former vllmScripts repository (LLM fleet) is merged into this repo with its full git history. See AGENTS.md for the merge note.

Targets

Host User IP Podman stack LLM service LLM port
dankserver dank 192.168.0.235 media and library frank-medium (ROCmFPX llama.cpp, Qwen3.8-27B AGENT) 7770
dankclaw dank 192.168.0.143 AI, search, development, observability frank-dragoon (gufo, Qwen3.8-27B UD-Q8_K_XL) 7770

Active Services

Service Host Hostname Port
RomM dankserver romm.dankserver.local 8085
Copyparty dankserver files.dankserver.local 3923
Calibre-Web dankserver books.dankserver.local 8083
frank-medium dankserver — (bare endpoint) 7770
SearXNG dankclaw search.dankclaw.local 8081
ComfyUI dankclaw comfyui.dankclaw.local 8188
OpenWebUI dankclaw chat.dankclaw.local 3000
Hermes dankclaw hermes.dankclaw.local 8090
Gitea dankclaw gitea.dankclaw.local 3001
Grafana dankclaw grafana.dankclaw.local 3002
Prometheus dankclaw prometheus.dankclaw.local 9090
frank-dragoon dankclaw — (bare endpoint) 7770

Structure

  • dankserver/ — compose.yaml + Caddyfile + .env.example for the Dankserver stack
  • dankclaw/ — compose.yaml + Caddyfile + .env.example for the Dankclaw stack
  • shared/ — homepage, prometheus config, deploy helpers
  • scripts/ — deploy.sh and deploy-remote.sh (service-scoped deployment), the planner, LLM serve scripts, systemd units, env tunables, and bench harnesses
  • old/ — retired PP/NPU-era LLM scripts (reference only)
  • serverAppConfigs-docs/ — project knowledge base (Obsidian vault, wikilinks). serverAppConfigs-docs/LLM/ is the LLM fleet
  • tests/ — bats test suite (see Testing Policy)

Deployment

See serverAppConfigs-docs/Architecture/Deployment Flow.md and serverAppConfigs-docs/LLM/deployment.md. Run ./scripts/deploy.sh <dankclaw|dankserver> after committing changes. It plans and deploys only the changed services. Use --service NAME for an explicit single-service retry; inference is restarted only when its own files (or the shared chat template) changed.

Knowledge Base

The serverAppConfigs-docs/ directory is an Obsidian vault. Start at serverAppConfigs-docs/index.md. The LLM fleet knowledge base lives at serverAppConfigs-docs/LLM/index.md.

Testing

Run ./tests/run.sh before every push. See serverAppConfigs-docs/Architecture/Testing Policy.md.

S
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Podman deployment configs for Dankserver and Dankclaw
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