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Straight passthrough to the checkpoint's own DecisionEngine.predict — never the semif mapping, whose different prompt would change the answers. Reuses the one inference thread, bearer auth, MAX_QUEUE, VRAM cap and error envelope; no new concurrency. 1..16 questions in ONE call (never chunked: Jev questions share a prompt); images 422; over MAX_TOKENS 422 before the forward. /health advertises the surface. Response 'model' is a string name@revision (JevBench's runner hashes it; a dict broke its manifest step). Acceptance on the live service (see acceptance/systemone-2026-09-30/): JevBench v1.2.16 typesafe adapter over the 231 public items scores all 202/231, hard 83/111, with 0 changed answers across all 924 rows of the bench's own r1..r4; controls 401/422x3 (token boundary proven at 7168 pass / 7169 refuse); GPU 1 per-process peak 9,866 MiB under the largest accepted request (budget 9,876); /decide/shared positive control unchanged. 120 tests green.
1.8 KiB
1.8 KiB
/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
modelmust 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/sharedpositive 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).