fix(cli): install onnxruntime-node and google-genai on first use (#4156)

* fix(cli): install onnxruntime-node and google-genai on first use

Both carry deprecated transitive dependencies (boolean, node-domexception)
that showed up as npm warnings on every npx hyperframes install. They move
to devDependencies (types and the Intel-binding check still need them at
build time; the bundler externalizes them) and load through a new
on-demand loader that installs into the CLI's own cache dir the first
time a feature needs them, with one stderr line, no prompt, and a
manual-install command named in the error if the network is unavailable.

hyperframes doctor lists each as installed (with version) or
not-installed-yet.

* fix(cli): sweep stale install staging and bound network retries

* fix(cli): optional-package install only sweeps staging dirs whose process is dead

Staging dirs now carry a per-call suffix after the pid, and the sweep skips any dir
whose pid is alive, so concurrent first runs no longer delete each other's install.

The install error suggests the network only for network failures, and the manifest
path has one owner. install() takes an injectable npm runner so tests drive the real code.

* fix(cli): optional-package sweep also clears old-format staging dirs and tests a live foreign dir

The concurrent-callers test shared one pid, so it never exercised the sweep rule; a live foreign
staging dir test now does. Old-format dirs of a dead pid are swept, and a failed cleanup no
longer aborts a viable install.

* fix(cli): optional-package sweep names a stale dir it could not remove

A locked leftover is still skipped so the install proceeds, but the warning makes it visible.

* docs(cli): shorten the install docblock to the comment limit

Comment-only change.

docs/packages/cli.mdx

@@ -374,7 +374,8 @@ The model is `u2net_human_seg` (MIT, ~168 MB ONNX). It downloads to
 after that. Peak inference RAM is about 1.5 GB.
 
 `--device auto` picks CoreML on Apple Silicon, CUDA where available, CPU
-otherwise. The CLI bundles the CPU build of `onnxruntime-node`; for CUDA, set
+otherwise. The first run installs the CPU build of `onnxruntime-node` into
+`~/.cache/hyperframes/optional/` (one line on stderr, once, no prompt); for CUDA, set
 `HYPERFRAMES_CUDA=1` and supply a GPU-enabled build.
 
 <Tip>