The first real boot gave the chance to measure what warming actually buys, and the trial's numbers were wrong: - Empty registry, register only, then time: the FIRST synthesis of a freshly registered voice cost 1 883 ms; the next two 1 283 and 1 226 ms. A ~110-word request cost 9.4 s and then 9.8 s. - So the published 6.2–8.0 s cold / first-audio-byte 5 530 ms / later-requests 0.5 ms ladder does not reproduce, and request time tracks the audio generated rather than snapshot state. The 0.5 ms figure is an internal state-restore cost, never an end-to-end request time. - Warming still earns its place for a different reason than the page claimed: the registry is memory-only and re-registering does not warm, so a boot without the hook leaves the façade answering 400 for every name. The saving is ~0.6 s. Law 1 of [[Frank TTS Engine]] is re-titled the registry law and carries the measured numbers; its example journal line is a real one from today; the troubleshooting row for "first request of the day is slow" — the retired law's symptom — is replaced by the argument-cap fault that actually happened. The same ladder in the research brief is annotated rather than erased, and [[Voice Packs]] step 6 stops claiming the hook registers only packs it has not seen (the engine replaces a name it already holds).
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
vllmScriptsrepository (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 stackdankclaw/— compose.yaml + Caddyfile + .env.example for the Dankclaw stackshared/— homepage, prometheus config, deploy helpersscripts/—deploy.shanddeploy-remote.sh(service-scoped deployment), the planner, LLM serve scripts, systemd units, env tunables, and bench harnessesold/— retired PP/NPU-era LLM scripts (reference only)serverAppConfigs-docs/— project knowledge base (Obsidian vault, wikilinks).serverAppConfigs-docs/LLM/is the LLM fleettests/— 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.