Live on kind with the runner image that carries 2.2
(ousast-runner@sha256:d2a55293...; templates and validation-46 Tasks repinned,
128 lines; kind-images.json updated): the smoke Run on store delivery finished
in 26 s and 24 s; the tar was PUT to runs/ax-e2e-smoke/facts/output.tar
(10240 B) and collected 2 s later; read back from the store its members
(facts.json 451 B, summary.json 238 B, units.jsonl 291 B) equal the extracted
files; facts.json, summary.json and done.json (149 B) re-put, state.json
(350 B) mirrored; a rerun from an empty results root seeded state.json from the
store and finished in 2 s without resubmitting. The actor's egress policy read
back live: one tlsPassthrough rule on 443 naming the store host, nothing else.
`ousast plane status ax-e2e-smoke` printed the table each time. Record:
benchmarks/measurements/2026-10-02-k8s-02-store-delivery/record.json with the
smoke outputs, store read-back and policy beside it. Task 2.6 (receiver
removal) is paused by the maintainer's reprioritisation.
Gates: pytest 2031 passed, 42 skipped, exit 0; ruff check 0; ruff format 0;
mypy 0. (The first run, at 0.97 GiB free disk, failed 11 tests and errored 5
on the FileStore's 1 GiB free-space refusal; rerun after the disk was freed.)
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
ops/ax/up.sh reads kube_context, registry, pools.default and the images path
with `python -m openultrasast.plane.profile --print`, writes the runner digest to
ops/k8s/profiles/kind-images.json instead of ~/.cache/.../runner-image, renders
ops/ax/workerpool.yaml.tmpl from the profile's pool (POOL_NAME/REPLICAS/CPU/
MEMORY, WORKER_IMAGE), and keeps an existing pool and an ax CLI newer than its
checkout instead of rebuilding them (ko and go install would refill several GB
of Go cache on this disk). smoke-run.sh takes the runner from `--print
images.runner` and runs the checkout's code with OUSAST_PYTHON. repin_templates
reads the JSON images file (runner key; the one-line pin still reads). `--print
images` returns the file path (the first live rerun fell over this). Templates
and the generated validation-46 Tasks re-pinned to the rebuilt image (128
lines, one digest).
Live: up.sh reran idempotently on kind in 38 s (every step kept except the
runner build); smoke-run.sh done in 24 s on the new image, facts.json 451 B,
summary.json 238 B delivered (record: benchmarks/measurements/2026-10-02-k8s-01-profile/).
Gates: pytest 2010 passed, 42 skipped, exit 0; ruff check 0; ruff format 0;
mypy 0; mkdocs build --strict 0.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
`ousast plane harvest` (plane/harvest.py) writes two Runs over a label snapshot:
verify a/b + agree on the verify-family units (both sides of each labelled pair as
an opaque files-only Workspace, candidates outside the hunt's root, no declared
sites; v1 and dev-php pins with repo-facts first) and model roles on the candidate
files (pair excerpts grouped, one Task per population pin). Budgets sum under the
ceiling by construction. New roles task template; the generator re-pins it.
Spent by attribution: verify $2.54 (1961 calls, 150 units, 182 hunts per pass),
roles $1.40 (1034 calls, 799 files, 0 unclassified chunks); DeepSeek balance
19.63 -> 18.23. Engine on the pair corpus (benchmarks/learn/engine_pairs.py,
frozen e6ed785, one 3g container) is PARTIAL: 384 of 686 sides at commit, still
running; unfinished sides stay missing. benchmarks/learn/build_features.py built
1712 static+plane records into the memory store; counts-only record under
benchmarks/measurements/2026-10-01-decision-engine-harvest/.
source/roles parts are `none`, not `failed`, for a language without a declaration
pattern (C). ops/ax/README: Substrate golden-actor disk leak and the inline
Workspace limit (~20 KB).
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
learn/schema.py is the closed, typed allow-list of candidate features: 66 features over
11 instruments (language one-hot, quick rules with 23 mechanism buckets and a prior count,
engine, repo-facts, source span, entry-point distance, roles, delta, verify, agree, model
sinks), two profiles (static 57; plane adds verify, agree and model sinks for 66), schema_version and a feature-set digest.
No repository, path, file, function, rule or commit identity is a feature; site_match,
in_fix_range, fixed-pin alerts, case.json fields and costs are refused. Missing is not zero:
each record carries per-instrument state (ran | none | failed | not_applicable), and every
feature of an instrument that did not run is null.
learn/features.py builds records on the host (build_for_scan, whole repository or base..head
delta); plane/tasks/features.py builds them per case in a Run from the delivered artifacts,
dropping site_match and in_fix_range on read and ignoring fixed-pin alerts. The generator
adds a model-free `features` entry per case before `remember`, which stores the records as
`features` rows (re-validated). memory KINDS gains features, label, decision, experiment,
arm_outcome and experiment_result. The committed validation-46 manifests are regenerated
(entries appended; the first Run's entries are unchanged). The runner image must be rebuilt
and re-pinned before a Run executes the new task.
Proof on real artifacts (scratch store, not committed): the recorded validation-46 run gives
75 feature records over 15 cases (43 verify candidates plus vulnerable-pin alerts), each
case's vulnerable pin exported and read (0.5k-9k files); remember stored 75 features rows
beside 43 verdict, 84 alert, 61 unit_cost, 15 facts and 8 coverage rows.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
