# /v1/systemone acceptance — 0.1.1 on fv-ml1, 2026-09-30

Live service: `http://intern-decision.fv.internal:8033`, image `intern-decision-serve:0.1.1`
(built in `/opt/docker/src/intern-decision-serve-0.1.1`; 0.1.0 kept for rollback).

## JevBench (the pass/fail line)

JevBench v1.2.16 (5e95f23), its own `typesafe` adapter, over the 231 public items:

    TYPESAFE_ENDPOINT=http://intern-decision.fv.internal:8033 TYPESAFE_API_KEY=$(secret get intern-decision/api-token) \
    PYTHONPATH=/tmp/jevbench python3 -m jevbench.cli run --tasks datasets/public/{easy,original,hard}.jsonl \
      --adapter typesafe --results ... --ledger ... --raw-dir ... --price-in-per-m 0 --price-out-per-m 0

- **all 202/231, hard 83/111** — matches the expected numbers exactly.
- Row-by-row vs the bench's own runs r1..r4 (`bench-jev-2026-09-30/raw/out/intern-decision-4b-native/`):
  **0 changed answers/probabilities across 924 rows.**
- Artifacts here: jb-results.jsonl, jb-summary.json, jb-ledger.jsonl, jb-manifest.json.
- The first-run finding: the response `model` must be a string — the runner hashes it into
  its manifest and a dict crashed the manifest step. Fixed before the run above.

## Controls (live)

- wrong token → 401; 17 questions → 422 ("never chunked"); `images` → 422 "images not supported".
- token limit at the boundary: 7,167 → 200, **7,169 → 422** (binary search; "one token over").
- `/decide/shared` positive control: 2 decisions, 1 call, fields q1/q2 — unchanged.

## Memory (GPU 1 is packed beside scriberr)

`gpu1-peak.csv`: per-process GPU 1 footprint, nvidia-smi at 0.2 s, container PID resolved via
docker inspect. Largest accepted request (16 noul questions, 7,167-token prompt) found by binary
search. **Peak 9,866 MiB ≤ 9,876 budget** (10 MiB inside).