Files
gstack/browse
Garry Tan 8e9ec52d6f feat(security): DeBERTa-v3 ensemble classifier (opt-in)
Adds ProtectAI DeBERTa-v3-base-injection-onnx as an optional L4c layer
for cross-model agreement. Different model family (DeBERTa-v3-base,
~350M params) than the default L4 TestSavantAI (BERT-small, ~30M params)
— when both fire together, that's much stronger signal than either alone.

Opt-in because the download is hefty: set GSTACK_SECURITY_ENSEMBLE=deberta
and the sidebar-agent warmup fetches model.onnx (721MB FP32) into
~/.gstack/models/deberta-v3-injection/ on first run. Subsequent runs are
cached.

Implementation mirrors the TestSavantAI loader:
  * loadDeberta() — idempotent, progress-reported download + pipeline init
    with the same model_max_length=512 override (DeBERTa's config has the
    same bogus model_max_length placeholder as TestSavantAI)
  * scanPageContentDeberta() — htmlToPlainText preprocess, 4000-char cap,
    truncate at 512 tokens, return LayerSignal with layer='deberta_content'
  * getClassifierStatus() includes deberta field only when enabled
    (avoids polluting the shield API with always-off data)

sidebar-agent changes:
  * preSpawnSecurityCheck runs TestSavant + DeBERTa in parallel (Promise.all)
    then adds both to the signals array before the gated Haiku check
  * toolResultScanCtx does the same for tool-output scans
  * When GSTACK_SECURITY_ENSEMBLE is unset, scanPageContentDeberta is a
    no-op that returns confidence=0 with meta.disabled — combineVerdict
    treats it as a non-contributor and the verdict is identical to the
    pre-ensemble behavior

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 04:55:23 +08:00
..