Three-way QA-quality bench (quote / pointer / JSON) over an expanded
22-question set × 3 samples = 198 LLM calls. Findings landed in
docs/qa-modes-bench-2026-04-30.md with per-question breakdown and
roadmap. Aggregate at bench time:
quote 31S 20H 15U 0e strict-rate 47% 7.7s
claim_lattice_pointer 14S 34H 18U 0e strict-rate 21% 4.4s
claim_lattice (JSON) 26S 12H 9U 19e strict-rate 39%* 4.4s
The 19 JSON-mode "errors" turned out to be HTTP 502 from vLLM upstream,
not parse failures — clustered, all on the JSON-mode pass, plausibly
correlated with `guided_json` stressing the grammar engine.
Two improvements based on findings:
(1) OpenAICompatibleClient grew retry on transient 502/503/504 with
exponential backoff (0.5/1/2s, 3 attempts default). Network-layer
errors (ConnectError, ReadTimeout, RemoteProtocolError) get the
same retry. Smooths over the cluster without changing semantics:
persistent failures still raise, transient bursts no longer
dominate the error column. Helps all modes; JSON benefits most.
(2) Pointer-cap behavior changed from hard SCHEMA_INVALID to
trim-and-verify. When `[E2,...,E14]` over-cites a single claim,
keep first N pointers, verify normally, record
POINTER_OVERFLOW_TRIMMED in violations. STRICT becomes unreachable
(audit_mode caps at HYBRID) so the over-cite pattern stays
surfaced — but a correct claim like "Leonardo da Vinci painted
the Mona Lisa." no longer gets nuked for cosmetic over-citation.
Pre-fix: pointer mode hit 0/3 STRICT on Mona Lisa (mega-bracket
triggered SCHEMA_INVALID). Post-fix: HYBRID 2/14 with the right
answer rendered alongside both kept source spans. The dropped
pointers count toward n_quotes so the denominator surfaces the
over-cite to the auditor.
Bench scaffolding: ANSWER_MODES tuple now includes "claim_lattice"
(JSON), Makefile default sweeps all three. Question set expanded
from 8 to 22 covering narrow factoid, broad descriptive, entity
list, relationship, comparison, niche, adversarial, out-of-corpus.
460 tests pass. Connecticut output stays clean (HYBRID 4/7); JP-
dinosaurs pointer mode still UNGROUNDED via the bare-name guard
(model emits one-token entity names, the right floor catches them).
Adds bench/qa_sweep.py + bench/qa_questions.txt + `make bench-qa` target.
Sweeps a fixed question set through quote and claim_lattice_pointer modes,
N samples per cell (default 3), each sample burns the cached record so
Hermes nondeterminism becomes the variance source.
Outputs:
bench/qa_results/<utc>.jsonl one row per (mode, question, sample)
bench/qa_results/<utc>.md summary + per-question vote counts
Question set spans the failure-mode shapes the verifier needs to handle:
narrow factoid, broad descriptive ("tell me about X"), entity list,
relationship, and out-of-corpus (should land UNGROUNDED honestly).
Methodology gap this closes: at n=1 the strict-rate swings ±20pp on a
fixed prompt purely from sampling noise. n=3 makes 5pp deltas legible.
aborist/progress.py — stdlib-only rate-limited stderr reporter.
Periodic lines (default every 2s) showing:
elapsed | seen | inserted | docs/s now | docs/s avg | percent | ETA
Wired into ingest_source via a `progress` parameter; CLI default-on
with --quiet to suppress and --total-estimate N to enable percent/ETA.
Demo on a 5k-doc ingest with --progress-interval 0.8:
[ 1s] | 200 seen | 200 new | 193 now | ( 193 avg) docs/s | 4.0% | ETA 24s
[ 7s] | 3,200 seen | 3,200 new | 458 now | ( 424 avg) docs/s | 64.0% | ETA 3s
[ 12s] | 5,001 seen | 5,000 new | 392 now | ( 413 avg) docs/s | 100.0% | ETA 0s
bench/run.sh + `make bench` — reproducible 5000-doc workload through
three configs:
serial single process, single SQLite
parallel-shared N shards, one shared SQLite (WAL serialized)
attached N shards, per-shard SQLite (true parallel writes)
Output is a one-shot table plus CSV at /tmp/aborist-bench/results.csv
so the ratchet is visible as we keep optimizing. Override via
BENCH_DOCS=N and SHARDS=N.
Latest baseline (this commit, on this machine):
config wall_s docs docs/s
serial 11.74 5000 425.7
parallel-shared 10.39 5000 481.1
attached 7.99 5000 625.5
53 tests still passing.