chore(todo): file local-llm and uv install tasks; process inbox

Filed two new [#B] parent tasks. The local offline LLM runtime task carries design-decision and implementation children for resolving the open design questions alongside implementation work. The uv install task matches the existing eask/signal-cli tooling-codification shape — load-bearing for other projects, manually installed today, codify so fresh installs pick it up. Four cross-project handoffs moved to outbox.

4 files changed, 180 insertions, 0 deletions

diff --git a/assets/outbox/2026-05-28-from-rulesets-local-llm-install.org b/assets/outbox/2026-05-28-from-rulesets-local-llm-install.org
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+#+TITLE: Install local offline LLM runtime and model cache
+#+DATE: 2026-05-28
+#+SOURCE_PROJECT: rulesets
+#+REQUEST_TYPE: install-feature
+#+STARTUP: showall
+
+* Request
+
+Please add local offline LLM support to =archsetup='s normal install process so
+machines can run a local coding agent when there is no network.
+
+This came from the =rulesets= generic-agent-runtime design pass. =rulesets=
+should become runtime-neutral, but it needs =archsetup= to provision the local
+model runtime and prefetch model files while network is available.
+
+* Hardware-specific recommendations
+
+** High-end Strix Halo machine
+
+Detected with =inxi=:
+
+- AMD Ryzen AI Max+ 395
+- 128 GiB RAM
+- Radeon 8060S / Strix Halo unified memory
+
+Install:
+
+- Default offline coding model:
+  =Qwen3-Coder-30B-A3B-Instruct-GGUF=, prefer =Q6_K= on this machine.
+- Compatibility quant:
+  =Qwen3-Coder-30B-A3B-Instruct-GGUF Q4_K_M=.
+- Larger general/long-context fallback:
+  =Qwen3-Next-80B-A3B-Instruct-GGUF Q4_K_M=.
+
+** velox
+
+Detected with =ssh velox inxi -C -G -m -S --filter=:
+
+- Intel Core i7-1370P
+- 64 GiB RAM
+- Intel Iris Xe integrated graphics
+
+Install:
+
+- Strongest practical offline coding default:
+  =Qwen3-Coder-30B-A3B-Instruct-GGUF Q4_K_M=.
+- Add an 8B fallback model for quick edits and low-latency triage.
+
+Expect =velox= to be CPU/low-end-iGPU bound. The 30B model fits, but latency
+will be the limiting factor.
+
+* Runtime stack
+
+Recommended packages/components:
+
+- =llama.cpp= with CPU and Vulkan support where practical.
+- Optional =ollama= as a simple model manager/API for workflows that prefer it.
+- A shared local model cache, e.g. =~/.local/share/llm/models= or
+  =/srv/models/llm=.
+- OpenAI-compatible local endpoints:
+  - coding model on =127.0.0.1:8081=
+  - larger/general model on =127.0.0.1:8082= when installed
+  - leave =127.0.0.1:11434= for =ollama= if used
+
+* Install behavior
+
+- Install runtime packages during normal setup.
+- Prefetch model files when network is available.
+- Make model download idempotent: skip if exact file already exists.
+- Do not make the install fail hard if model download is unavailable; surface a
+  clear follow-up saying local offline LLM support is incomplete.
+- Add a smoke test command that starts the local endpoint and asks a short prompt.
+
+* Why this belongs in archsetup
+
+=rulesets= can provide the runtime manifests, launcher behavior, and project
+instructions, but it should not own machine provisioning. =archsetup= already
+owns package installation and per-host setup, so it is the right place to install
+=llama.cpp=/=ollama= and maintain the machine-local model inventory.
+
+* Sources checked
+
+- Qwen3-Coder 30B GGUF quant listings show Q4_K_M around 18.6 GB and Q6_K around
+  25.1 GB.
+- Qwen3-Next 80B GGUF model card shows Q4_K_M around 48.4 GB and native 262K
+  context.
+- =llama.cpp= supports CPU and GPU backends including Vulkan/HIP/ROCm; keep the
+  backend configurable per host.
diff --git a/assets/outbox/2026-05-29-1111-from-health-todo-b-install-python-genanki-system.org b/assets/outbox/2026-05-29-1111-from-health-todo-b-install-python-genanki-system.org
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+++ b/assets/outbox/2026-05-29-1111-from-health-todo-b-install-python-genanki-system.org
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+#+TITLE: * TODO [#B] Install ~python-genanki~ system-wide :install:py
+#+SOURCE: from health
+#+DATE: 2026-05-29 11:11:48 -0500
+
+* TODO [#B] Install ~python-genanki~ system-wide :install:python:
+
+Add ~genanki~ to the Python package set so projects can generate Anki ~.apkg~ decks from org-drill files without per-project venvs.
+
+** Why
+A converter script in the health project (~health-drill-to-anki.py~) emits an Anki package from an org-drill source file — same workflow as ~/sync/org/drill/~ but pushed into Anki for mobile review. The script is ~100 lines and runs anywhere Python has ~genanki~ available. The pattern is likely to spread: deepsat already has a drill file, more will follow.
+
+Right now Arch's PEP 668 enforcement blocks ~pip install --user genanki~, so the script needs a throwaway venv to run. Solving once at the system level removes that friction across every project.
+
+** Install options (pick one)
+- *Arch official repo or AUR.* ~pacman -S python-genanki~ if it's in extra/community, or ~yay -S python-genanki~ from AUR. Cleanest. Auto-updates with the rest of the system.
+- *pipx.* ~pipx install genanki~ — but genanki is a library, not a CLI app, so pipx is a stretch. Skip.
+- *System-wide pip with ~--break-system-packages~.* Works but circumvents PEP 668. Last resort.
+
+Recommendation: try pacman/AUR first, fall back to a managed venv at a known path (e.g. ~/opt/python-tools/~) that scripts can shebang into.
+
+** Verification
+After install:
+#+begin_src bash
+python3 -c "import genanki; print(genanki.__version__)"
+#+end_src
+Should print a version like ~0.13.1~ without traceback.
+
+** Cross-reference
+- A companion message went to rulesets' inbox proposing the export script as a template script under ~claude-templates/.ai/scripts/~. That decision depends on this install landing first — without ~genanki~ available system-wide, the template script can't run out of the box.
diff --git a/assets/outbox/2026-05-29-1114-from-health-cancelled-install-python-genanki-system.org b/assets/outbox/2026-05-29-1114-from-health-cancelled-install-python-genanki-system.org
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+++ b/assets/outbox/2026-05-29-1114-from-health-cancelled-install-python-genanki-system.org
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+#+TITLE: * CANCELLED Install ~python-genanki~ system-wide — supersede
+#+SOURCE: from health
+#+DATE: 2026-05-29 11:14:51 -0500
+
+* CANCELLED Install ~python-genanki~ system-wide — superseded :install:python:
+
+The prior message in this inbox (also dated 2026-05-29) asked for a system-wide ~python-genanki~ install to remove pip/venv friction. That request is no longer needed.
+
+** Why
+The converter script in the health project moved to ~uv~ + PEP 723 inline script metadata. Shebang is ~#!/usr/bin/env -S uv run --script~ and the deps are declared in the script header. ~uv~ handles resolve / install / cache transparently on first run (~5ms cached). No system package needed for ~genanki~ specifically.
+
+** Implication for archsetup
+- *No genanki install required.* The earlier TODO can be deleted or marked CANCELLED.
+- *~uv~ is now a load-bearing tool for this pattern.* Make sure ~uv~ stays in the Arch base setup. Currently installed via ~/usr/bin/uv~ (version 0.11.15). If it's already part of the standard package set, nothing to do. If it's only installed ad-hoc on this machine, worth adding to the install playbook.
+
+** Verification
+#+begin_src bash
+which uv && uv --version
+#+end_src
+Should print a path and version like ~uv 0.11.15~ without error.
+
+** Cross-reference
+A follow-up went to rulesets' inbox with the updated implementation pattern and a renewed recommendation to formalize the converter as a template script.
diff --git a/assets/outbox/2026-05-29-1127-from-health-todo-a-add-uv-to-the-install-playbook.org b/assets/outbox/2026-05-29-1127-from-health-todo-a-add-uv-to-the-install-playbook.org
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+++ b/assets/outbox/2026-05-29-1127-from-health-todo-a-add-uv-to-the-install-playbook.org
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+#+TITLE: * TODO [#A] Add ~uv~ to the install playbook — load-bearing 
+#+SOURCE: from health
+#+DATE: 2026-05-29 11:27:58 -0500
+
+* TODO [#A] Add ~uv~ to the install playbook — load-bearing for project tooling :install:python:
+
+Add ~uv~ (Astral's Python package + script runner) to the archsetup install steps so every future machine setup picks it up automatically. Currently installed on this machine at ~/usr/bin/uv~ (~0.11.15~), but it's not yet part of the standard set — if a fresh install skipped it, project scripts that depend on it would fail silently or break at first run.
+
+** Why this matters now
+Several projects are moving Python tooling onto ~uv~ with PEP 723 inline script metadata. The pattern is: a script declares its deps in a ~# /// script~ header and shebangs ~#!/usr/bin/env -S uv run --script~, so it self-runs without venvs or pip. First example landed in the health project (~health-drill-to-anki.py~), and the rulesets follow-up recommends promoting that pattern as a template script under ~claude-templates/.ai/scripts/~ — meaning ~uv~ would become a dependency for any project pulling templates.
+
+Without ~uv~ in the install playbook, fresh machines would hit ~env: uv: No such file or directory~ on any script using this pattern. The PEP 668 detour (system pip blocked, manual venvs everywhere) was exactly what ~uv~ eliminates.
+
+** Install
+Arch official: ~pacman -S uv~. If extra/community doesn't carry it, AUR has it as ~uv-bin~ or build-from-source. Astral's official installer is also an option but adds a non-pacman path to maintain.
+
+Pacman is cleanest — auto-updates with the rest of the system, lives under ~/usr/bin/uv~.
+
+** Verification (post-install)
+#+begin_src bash
+which uv && uv --version
+#+end_src
+Should print ~/usr/bin/uv~ and a version string. To verify the PEP 723 pattern works end-to-end:
+#+begin_src bash
+cat > /tmp/uv-test.py <<'EOF'
+#!/usr/bin/env -S uv run --script
+# /// script
+# requires-python = ">=3.11"
+# dependencies = ["requests"]
+# ///
+import requests
+print("ok")
+EOF
+chmod +x /tmp/uv-test.py && /tmp/uv-test.py
+#+end_src
+First run resolves and caches ~requests~; subsequent runs are instant.
+
+** Related
+- Earlier message in this inbox CANCELLED the ~python-genanki~ install request — that one is no longer needed because ~uv~ + PEP 723 covers it.
+- The rulesets inbox carries the broader template-script proposal.