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fix(scorers): score keyword toxicity on the canonical catalog basis - #123
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Unmatched extra_keywords raised KeywordToxicityScorer scores because the denominator counted every configured keyword. The basis is now the class's canonical TOXIC_CATEGORIES, taken before per-instance extras, so a subclass override supplies its own basis and default scores stay exact. Co-authored-by: KunyangZhang <KunyangZhang@users.noreply.github.com>
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Reviewed 884e8f6 integrated with main 78079a9 against the agreed #91 contract. No blocking findings. The normalization basis follows the class's canonical catalog, including subclass overrides, while unused per-instance keywords leave scores, verdicts and evidence unchanged. Default scores remain exact; the intentional custom-keyword score change is documented. Matching and derivative behavior remain intact.
Independent validation on Python 3.13.1: full integrated suite 931 passed, 16 skipped. All 17 additional checks passed, covering exact default-result comparisons with main across the canonical catalog and four thresholds, unused additions alongside existing custom hits, empty/narrow/wide subclass catalogs, input and instance isolation, and blocking guardrails with additions to existing and new categories. Dependency consistency, Ruff, REUSE licensing and patch whitespace checks passed.
Thanks for keeping the scoring change separate from the matching fixes.
Related issue
Fixes #91
#91
What changed
KeywordToxicityScorerstill usesscore = max(0.0, 1.0 - matches / max(basis * 0.1, 1))withpassed = score >= threshold. The basis is no longer the per-instance keyword count.The basis is the number of keywords in the scorer class's canonical
TOXIC_CATEGORIES, counted before any per-instanceextra_keywords. The shipped catalog keeps basis 21.normalization_basis()reads that class attribute on each call, so a subclass that replaces the catalog gets a basis from the override rather than a constant frozen on the base class. Alias and derivative forms stay pattern alternatives and never enter the basis. Matching rules, canonical-family counting, configured thresholds, and literal custom-keyword evidence are unchanged.Default-configuration scores stay exact: no hits
1.0(pass), one canonical hit0.5238095238095238(fail), two hits0.04761904761904767(fail), three hits0.0(fail). Two hits is the float the unchanged formula returns for1 - 2 / (21 * 0.1). The acceptance table prints that same quantity as0.04761904761904745; the literal that compares equal is0.04761904761904767.Intentional compatibility change, only for configurations that pass
extra_keywords: those scores now use the canonical basis. A matched custom keyword scores like one canonical hit (0.5238095238095238, not the previous0.5454545454545454from a 22-keyword denominator). Adding keywords that do not occur in the response no longer changes the score, verdict, or matched evidence, including when they are added to a category that already matched. AGuardedModel(..., block_on_scorer_fail=True)therefore cannot be configured out of a block by unused keywords.This pull request does not change the derivative or casing matcher from #90. Existing extra-keyword score pins in those tests were updated to the canonical basis because that is the compatibility change above.
The branch is based on wandb/rai-toolkit
mainat08b9e2f.Validation
python -m pytest -q tests/test_keyword_toxicity_scorer.py: 236 passedpython -m pytest -q: 922 passed, 16 skipped (optionalanthropic,garak, andweaveimports, plus two adapter-contract skips;.[dev]only)python -m pip check: no broken requirementspython -m ruff check --select E9,F63,F7,F82 .: all checks passedreuse --no-multiprocessing lint: compliantgit diff --checkandgit diff --cached --check: cleanAI assistance
A Cursor cloud agent implemented the basis change and the acceptance tests, then ran the commands above in the agent environment.
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