`gbrain eval takes-quality` — reproducible cross-modal quality eval

v0.32+ ships a CI-able quality gate for the takes layer. Three frontier models score a sample of takes against a 5-dimension rubric, the runner aggregates to PASS / FAIL / INCONCLUSIVE, and the receipt persists to eval_takes_quality_runs so a follow-up trend or regress can compare against history.

This doc is the consumer contract. The sibling gbrain-evals repo and any future CI gate read receipts shaped exactly like the JSON below. Fields are additive-stable at schema_version: 1. A breaking shape change bumps the version.

Subcommands

Command	Brain required?	Exit codes
`gbrain eval takes-quality run [flags]`	yes (samples takes)	0 PASS, 1 FAIL, 2 INCONCLUSIVE
`gbrain eval takes-quality replay <receipt>`	no (disk-only)	0 PASS, 1 FAIL, 2 INCONCLUSIVE
`gbrain eval takes-quality trend [flags]`	yes (reads runs table)	0
`gbrain eval takes-quality regress --against <receipt>`	yes	0 OK, 1 regression

replay is the only mode that runs without DATABASE_URL — it reads the receipt file from disk and re-renders it. The other modes need the brain.

`run` flags

Flag	Default	Notes
`--limit N`	100	Random sample of N takes from the brain.
`--cycles N`	3 (TTY) / 1 (non-TTY)	Up to N panel calls before giving up; early-stop on PASS or INCONCLUSIVE.
`--budget-usd N`	unset	Abort before next call's projected cost would exceed cap. Models without a `pricing.ts` entry fail loud rather than silently blowing the budget.
`--source db	fs`	`db`
`--slug-prefix P`	unset	Filter takes to pages whose slug starts with P.
`--models a,b,c`	`openai:gpt-5.2,anthropic:claude-opus-4-7,google:gemini-2.0-flash`	Comma-separated panel.
`--json`	off	Emit the full receipt to stdout.

Receipt JSON shape (`schema_version: 1`)

{
  "schema_version": 1,
  "ts": "2026-05-09T22:00:00.000Z",
  "rubric_version": "v1.0",
  "rubric_sha8": "abcd1234",
  "corpus": {
    "source": "db",
    "n_takes": 100,
    "slug_prefix": null,
    "corpus_sha8": "abcd1234"
  },
  "prompt_sha8": "abcd1234",
  "models_sha8": "abcd1234",
  "models": ["openai:gpt-5.2", "anthropic:claude-opus-4-7", "google:gemini-2.0-flash"],
  "cycles_run": 3,
  "successes_per_cycle": [3, 3, 2],
  "verdict": "pass",
  "scores": {
    "accuracy":            { "mean": 7.8, "min": 7, "max": 9, "scores": [9,7,7], "per_model": {...} },
    "attribution":         { "mean": 7.0, "min": 7, "max": 7, "scores": [7,7,7], "per_model": {...} },
    "weight_calibration":  { "mean": 7.5, "min": 7, "max": 8, "scores": [8,7,7], "per_model": {...} },
    "kind_classification": { "mean": 7.2, "min": 7, "max": 8, "scores": [7,8,7], "per_model": {...} },
    "signal_density":      { "mean": 7.0, "min": 6, "max": 8, "scores": [8,7,6], "per_model": {...} }
  },
  "overall_score": 7.3,
  "cost_usd": 1.85,
  "improvements": ["..."],
  "errors": [],
  "verdictMessage": "PASS: every dim mean >=7 and min >=5 ..."
}

Field reference

schema_version — locks the contract. Adding optional fields is additive and compatible. Renaming, removing, or changing semantics bumps the version.
rubric_version + rubric_sha8 — segregate trend rows by rubric epoch. When the rubric definition changes, both fields update, and trend mode groups runs accordingly so a stricter rubric doesn't silently look like a quality drop.
corpus.corpus_sha8 — fingerprint over the joined takes-text the judge saw. Determines whether two runs are over the "same" sample.
models_sha8 — fingerprint over the sorted model id list. Re-ordering models in --models doesn't change the sha (sort is stable).
successes_per_cycle — count of contributing models per cycle. A model contributes when (a) its JSON parsed AND (b) every declared rubric dim has a finite score (a missing dim drops the whole contribution).
verdict — pass if every dim mean >= 7 AND every dim min across contributing models >= 5; fail otherwise; inconclusive if fewer than 2/3 models contributed complete scores.
cost_usd — sum of per-call cost via pricing.ts. Unknown models when --budget-usd is set produce a PricingNotFoundError before any call fires.

Receipt persistence

Receipts persist to eval_takes_quality_runs (the DB is authoritative) AND to disk at ~/.gbrain/eval-receipts/takes-quality-<corpus>-<prompt>-<models>-<rubric>.json as a best-effort artifact. The DB row carries the full receipt JSON in the receipt_json JSONB column, so when the disk artifact is gone, replay can still reconstruct via loadReceiptFromDb.

The 4-sha primary key is unique (UNIQUE constraint) so re-running an identical eval is INSERT ... ON CONFLICT DO NOTHING — idempotent.

Trend output

Plain text (default):

ts                   rubric  verdict       overall  cost     corpus
─────────────────────────────────────────────────────────────────────────────
2026-05-09T22:00:00  v1.0    pass             7.3   $1.85   abcd1234
2026-05-08T18:30:00  v1.0    fail             6.8   $1.92   ef567890

JSON shape (--json):

{
  "schema_version": 1,
  "rows": [
    { "id": 42, "ts": "...", "rubric_version": "v1.0", "verdict": "pass",
      "overall_score": 7.3, "cost_usd": 1.85, "corpus_sha8": "abcd1234" }
  ]
}

Regress: gating CI on quality

# Capture a baseline.
gbrain eval takes-quality run --limit 100 --json \
  > .ci/takes-quality-baseline.json

# Later, after changing the extraction prompt:
gbrain eval takes-quality regress --against .ci/takes-quality-baseline.json \
  --threshold 0.5
# exit 0 → no regression past threshold
# exit 1 → some dim dropped > 0.5; CI fails

The threshold is the per-dim-mean drop counting as regression. Default 0.5. Regress reuses the same model panel + slug prefix + source as the prior receipt for an apples-to-apples compare. Diffs in corpus_sha8 / prompt_sha8 / rubric_sha8 are surfaced as informational warnings (the runner doesn't refuse — that's the caller's call).

Contract stability

The shape above is the read contract for downstream consumers. Anything not listed (e.g. internal aggregator state, gateway providerMetadata) is not in the receipt and may change without notice.

When you need to evolve the schema:

Additive optional field → no version bump; old consumers ignore the new key, new consumers read it.
Renamed or removed field, or changed semantics → bump schema_version to 2; runner emits both shapes for one release as a deprecation runway.

eval takes quality

gbrain eval takes-quality — reproducible cross-modal quality eval