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command-center/omp-docs/system/dankclaw.md
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reference Dankclaw Secondary inference server at 192.168.0.143. Runs llama.cpp (frank-default-large).
network
llamacpp
inference
server
comfyui
unverified
by at
chief-designer/agent 2026-08-26T00:00:00Z
2026-08-28

Dankclaw

Secondary llama.cpp inference server for the Frank Program. Serves larger models used by planner, worker, reviewer, oracle, and context-builder subagents.

Connection Details

Property Value
Hostname dankclaw
IP Address 192.168.0.143
Port 7770
Base URL http://192.168.0.143:7770/v1
API OpenAI-compatible completions
Authentication API key configured

Models

Model ID Context Window Reasoning Input Types
frank-default-large 262,144 tokens Yes Text, Image (unverified)

Services

llama.cpp

Property Value
Port 7770
Models frank-default-large

Hardware

Property Value
CPU AMD Ryzen AI MAX+ 395 (16C/16T, Strix Halo)
GPU Radeon 8060S integrated (gfx1151, amdgpu)
RAM 119 GiB
Storage Kingston SNV3S1000G NVMe (931.5 GB), ~676 GB free
OS Ubuntu 26.04 LTS, kernel 7.0.0-30-generic
ROCm 7.2.4 (driver: 7.0.0-30-generic)
Python 3.14.4 (system)

Usage

Dankclaw handles complex tasks delegated by subagent overrides. The frank-default-large model provides extended context. Multimodal input support is unverified.

# Health check
curl http://192.168.0.143:7770/health

# Test with large model
curl http://192.168.0.143:7770/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <key>" \
  -d '{"model":"frank-default-large","messages":[{"role":"user","content":"Hello"}],"max_tokens":32}'
  • serverAppConfigs — /home/dank/Projects/serverAppConfigs/ — Podman deployment config for this host (AI, search, development, observability stack, incl. the Hermes compose service) plus the LLM inference fleet (frank-default-large, CIRU ROCmFPX 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 dankclaw/compose.yaml + docs/Dankclaw/; LLM fleet at docs/LLM/index.md, deploy runbook at docs/LLM/deployment.md).

See Also