Frank
02883d3ed2
Copy of the legacy ~/.pi/agent/docs tree rebuilt as the command-center knowledge base: concept files promoted to path identity, index listings stripped of frontmatter, all wikilinks/relative links resolved, every checkable claim verified against the live fleet (Dankserver = Ryzen 7 7700X + RTX 3090; Strix Halo is Dankclaw), unverifiable claims tagged. kb-lint exits 0.
76 lines
2.5 KiB
Markdown
76 lines
2.5 KiB
Markdown
---
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type: reference
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title: Dankserver
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description: Primary llama.cpp inference server at 192.168.0.235:7770, serving frank-default-small with 163,840-token context window.
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tags:
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- network
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- llamacpp
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- inference
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- server
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- unverified
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generated:
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by: chief-designer/agent
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verified: 2026-08-28
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status: stable
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---
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# Dankserver
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Primary llama.cpp inference server for the Frank Program. Serves `frank-default-small` — a fast, capable model with image support.
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## Connection Details
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| Property | Value |
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|----------|-------|
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| **Hostname** | dankserver |
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| **IP Address** | 192.168.0.235 |
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| **Port** | 7770 |
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| **Base URL** | `http://192.168.0.235:7770/v1` |
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| **API** | OpenAI-compatible completions |
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| **Authentication** | None |
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## Model
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| Property | Value |
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|----------|-------|
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| **Model ID** | `frank-default-small` |
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| **Context Window** | 163,840 tokens |
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| **Reasoning** | Supported |
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| **Input Types** | Text, *Image* (unverified) |
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## Usage
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Dankserver serves the small subagent model `frank-default-small`. Small subagent roles route here unless a role override picks a different model.
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```bash
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# Health check
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curl http://192.168.0.235:7770/health
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# Quick test
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curl http://192.168.0.235:7770/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{"model":"frank-default-small","messages":[{"role":"user","content":"Hello"}],"max_tokens":32}'
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```
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## Hardware
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| Property | Value |
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|----------|-------|
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| **CPU** | AMD Ryzen 7 7700X (8C/16T, Raphael) |
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| **GPU** | NVIDIA GeForce RTX 3090 (24 GiB VRAM, EVGA) |
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| **RAM** | 60 GiB |
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| **Swap** | 64 GiB (/swapfile) |
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| **Storage** | Kingston SNV3S1000G NVMe (931.5 GB) + md0 RAID (6×18.2T Toshiba, /mnt/entropy, 91T) |
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| **OS** | Ubuntu 26.04 LTS, kernel 7.0.0-30-generic |
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| **NVIDIA Driver** | 595.84 |
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## Related Knowledge Bases (sibling project on dankware)
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- **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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## See Also
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- [[models|models]] — Provider definitions
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- [[dankclaw|dankclaw]] — Secondary server
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- [[network|network]] — Network topology
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