| name | local-inference |
| description | Use when running inference probes on the mesh, routing tasks to pi or hermes harnesses, or configuring model loading across LM Studio (adeck:1234), vLLM (zrrh:8000), or llama-server (zrrh direct). Covers gateway config, ctx ceiling procedure, tool-call probing, KV quant config, dense vs MoE tradeoffs, and harness architecture. |
| compatibility | Designed for the daemonturgy mesh (nxiz/zrrh/adeck). Requires nix develop flake shell and Tailscale mesh access. |
| metadata | {"author":"zk","version":"1.0","category":"inference"} |
local-inference skill
Reference docs for the daemonturgy mesh inference lab.
Contents
Quick reference
LM Studio gateway: adeck:1234 — all SDK and OpenAI endpoint calls for LMS-served models.
vLLM (NVFP4/modelopt models): http://zrrh:8000 — not routed through adeck. Direct only.
llama-server (direct/benchmarking): zrrh via scripts/launch_llamacpp_zrrh.sh
Run a ctx ceiling probe:
nix develop --command python3 scripts/ctx_optimize_probe.py <model> \
--gateway adeck:1234 --out-dir runs/fit/<run-id>
Run a tool call probe:
nix develop --command python3 scripts/tool_call_probe.py <model> \
--gateway http://adeck:1234/v1 --ctx 65536 --out-dir runs/fit/<run-id>
Check what's loaded / unload before new probe:
ssh zk@adeck lms ps
ssh zk@adeck "lms unload <model-id>"
See references/process.md for full procedure, proven ceilings table, and gotchas.