Commit Graph

1499 Commits

Author SHA1 Message Date
Benjamin Admin db2fd9d8e9 Add obligation advisor proof (P3)
Demonstriert den Produktnutzen der Registry: obligation-basierte Antwort statt RAG-Text.
Frage → Pflicht (LEGAL_MINIMUM + Rechtsgrundlage + Applicability) ⊥ Best Practice
(guidance_basis) ⊥ Nachweise (evidence_facets + member controls) + Beziehungen, deterministisch
aus obligations/cra.json (kein LLM, zitierfähig).

Beleg (SBOM, Maschinenbauer): JA — 7 CRA-Mindestpflichten + 4 Best-Practice (OWASP/NIST/ENISA);
sbom_* supports vuln_identification_inventory.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-25 09:06:34 +02:00
Benjamin Admin d21e1247c9 Merge remote-tracking branch 'origin/main' into feat/obligation-aggregation
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2026-06-25 07:49:16 +02:00
Benjamin Admin e1b270c36e Add obligation discovery pipeline tooling
Sichert die validierte Obligation Discovery Pipeline aus /tmp als dauerhaftes,
committetes Tooling (scripts/obligation_discovery/) — der eigentliche Vermögenswert.

Stufen: precluster (Embedding-Cache + Mikro-Cluster) → meta_cluster (Review Units,
Skalierungs-Fix) → synthesize_obligations (Opus, Key aus ENV, Streaming, harte Tier-Regel,
Provenance) → validate_registry → merge_review_diff. Reine Helfer in _core.py, 16 Unit-Tests.

Doku docs-src/development/obligation_discovery_pipeline_v1.md mit Meilensteinen
(SBOM/Vuln reproduziert, Auth 4408→170 Review Units→54→kuriert 29) und der Architekturregel:
Runtime deterministisch, Discovery LLM-gestützt.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-25 07:41:45 +02:00
Benjamin Admin 48e39423e6 Add curated CRA authentication obligations (scaling test)
Erster großer Skalierungstest der Registry-Pipeline mit Zwei-Stufen-Clustering:
4408 Controls → 2134 Mikro → 170 Review Units → Opus-Synthese 54 → Kuration 29.

- Zwei-Stufen-Clustering (Mikro→Meta/Review-Unit) ist der Skalierungs-Fix für große Domänen
- harte Tier-Regel generalisiert: nur 6 LEGAL_MINIMUM (CRA fordert nur High-Level-Auth),
  23 BEST_PRACTICE; MFA/Passwort/Session/Krypto = guidance_basis, kein CRA-Primärrecht
- Kuration (key-frei, regelbasiert): Krypto-Mikro→guidance · Prüf/Nachweis→evidence-Facette ·
  Mechanismus-Familien behalten · eID/PSD2→out_of_scope; 6 LM unangetastet
- Provenance pro Obligation (source_meta_cluster/confidence/model/version)

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-25 07:30:55 +02:00
Benjamin Admin 31222885b3 feat(ai-sdk): control-intent result diversity + standard-name classifier override
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On an implementation question impl_guidance (ENISA) keeps its earned semantic
Top-1, but the top-K now surfaces the best operational_requirement and
control_standard from the pool (ensureControlDiversity) — so different source
roles are visible instead of one role flooding the list, without forcing the
binding sources to Top-1.

A recognised standard NAME (NIST/OWASP/ISO 27001/CIS/CSA CCM/Grundschutz) now
overrides a mis-applied supervisory_guidance source_class in classifyAuthority,
so those standards classify and rank as technical_standard (control_standard
role). The corpus tags many standards as guidance (weight 70); the name wins.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-25 01:54:36 +02:00
Benjamin Admin 188bb787d2 Add proposed CRA obligation relationships
11 human-reasoned Beziehungskanten in cra.json gemerged (dedupliziert gegen die
Pipeline-Kanten), getaggt review_status=proposed / source=human_reasoned_preview /
confidence=high. Nur die kleine Sprache depends_on / supports / produces_evidence_for;
gerichtet. Cross-Family SBOM→Vuln-Kanten erlauben dem Advisor Ursachen-/Wirkungsketten.

Damit ist der CRA-v1-Baustein vollständig: Obligations · legal_basis · guidance_basis ·
out_of_scope · relationships · pending citation anchors.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-25 00:08:47 +02:00
Benjamin Admin d9d04deb00 feat(ai-sdk): close the 4 GT #3 recall gaps — backflow, cut, restart, spray-arm
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Phase 1 complete. GT #3 recall 84% -> 100% (25/25 matched), no regression:
- HP2207 backflow / potable-water contamination (EN 1717) + measure M2209
  (Rueckflussverhinderer / Systemtrenner) — the only genuinely new hazard.
- HP2208 cut on sharp edges/screens (new sharp_edge tag from scharfe-Kante/Sieb).
- HP2209 unexpected restart during maintenance (dedicated dom_warewashing pattern;
  avoids flooding the log via the broad moving_part tag).
- Spray-arm contact now covered by the enclosure-re-scoped contact patterns.

Kistenhub 97.1% and Bremse pinned mappings unchanged; 0/28 hazards without a
measure. Completes the commercial-dishwasher (white-goods Phase 1) coverage.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-25 00:05:30 +02:00
Benjamin Admin 2645b5b043 Add draft CRA obligation registry
Erstes belastbares Registry-Artefakt (obligation_registry_v1) aus den validierten
SBOM+Vuln-Candidates der Obligation Discovery Pipeline.

- 18 Obligations (11 SBOM + 7 Vuln)
- 14 LEGAL_MINIMUM, alle mit legal_basis (harte Tier-Regel)
- 4 BEST_PRACTICE korrekt herabgestuft (source_role GUIDANCE/IMPLEMENTATION)
- 70 OUT_OF_SCOPE-Cluster getrennt; member_controls vollständig
- legal_basis (CRA-Primärrecht) ⊥ guidance_basis (BSI/ENISA/NIST/...)
- citation_status=pending_span_anchor (span_id folgt mit Asset 2), review_status=draft

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 23:52:20 +02:00
Benjamin Admin fe5dc59152 test(ai-sdk): GT #3 completeness — 8 shared white-goods hazards + CNC gate
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Phase 1 of the commercial white-goods expansion (EN ISO 10472 family). Extend
GT #3 with 8 completeness hazards a Fachmann expects but that were neither in
the GT nor previously questioned: dry-run boiler overheating, residual/stored
electrical energy, sharp-edge cut, tipping, interlock-failure, unexpected
restart, backflow (EN 1717), microbial/legionella. Enrich the UC-M narrative
with the real features so existing library patterns can fire.

Result: 4/8 auto-covered by existing patterns (dry-run, residual voltage,
tipping, interlock-failure) — recall 84% (21/25). Remaining gaps documented:
spray-arm contact (4.3), sharp-edge cut (4.6), backflow (2.3), restart (6.4).

Gate the re-surfaced CNC leak ("spanende Bearbeitung", high_temperature-only)
via dom_cnc. Kistenhub 97.1% and Bremse pinned mappings unchanged.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 23:46:19 +02:00
Benjamin Admin 6b7950f428 Freeze Obligation Registry v1 spec (citability + two-graph)
Schreibt das Zielmodell fest: Legal Obligation = gemeinsame Sprache zwischen
Legal Knowledge Graph (Chat) und Compliance Execution Graph (Engine).

- Registry-Schema v1 (id/tier/legal_basis/guidance_basis/facets/citation_anchor_ids/
  relationships/decision_method)
- Zitierfähigkeit hängt an der OBLIGATION, nicht an Controls (Regulierungsänderung =
  Anchor tauschen, Controls unverändert)
- legal_basis (Primärrecht) vs guidance_basis (NIST/OWASP/...) + source_role
  (LEGAL_BASIS/GUIDANCE/EVIDENCE/IMPLEMENTATION/OUT_OF_SCOPE)
- HARTE Regel: LEGAL_MINIMUM nur mit Primärrechts-Anker
- Beziehungsgraph: requires/implements/supports/produces_evidence_for/depends_on/derived_from
- Citation-Anchor-Pipeline Document→Obligation (KEIN Re-Ingest zum Control-Neubau)

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 23:33:29 +02:00
Benjamin Admin 8563798c4f fix(ai-sdk): one hazard per pattern in init — drop cross-category duplicates
Class E1. A multi-category pattern (e.g. "Motorueberlast" [electrical, thermal],
"Lagerschaden" [mechanical, thermal]) created one hazard per category, so the
same scenario+zone appeared twice in the CE hazard log under different labels.
InitializeProject now breaks after the primary (first eligible) category — one
hazard per pattern.

This aligns production with the GT benchmark, which already scores one hazard per
matched pattern. Cyber-skip, per-category cap and cross-pattern measure-merge
still use continue (unchanged). Handlers + iace suites green; Kistenhub/Bremse
unchanged.

Note (E2, not fixed): some scenarios exist as TWO separate patterns (e.g.
"Sicherheitssoftware manipuliert" in hazard_patterns_final_c.go and _final_d.go)
— library redundancy that E1's per-pattern break cannot merge. Left for a
separate, GT-guarded library-dedup audit.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 23:06:01 +02:00
Benjamin Admin bde6e76a57 fix(ai-sdk): keyword precision — stop adjective/generic ghost components
Class D (generic keyword hygiene, GT-guarded). Two over-broad keyword->component
mappings produced ghost components:
- "kuehl"/"cool" -> Kuehlaggregat (C095) matched product variants
  ("Cool-Ausfuehrung") and outputs ("kuehle Glaeser"). Narrowed to cooling-UNIT
  terms (kuehlaggregat, kuehlanlage, kuehler, kaeltemaschine, chiller, rueckkuehl).
- "filter" -> Absauganlage/Oelnebelabscheider (C124) matched any filter
  (Laugen-/Wasser-/Oelfilter). Keep "filteranlage" only.

No pattern or GT test depends on these mappings (Kistenhub/Bremse use hand-crafted
inputs). UC-M now parses 6 plausible components (was 8 incl. the two ghosts).
Warewashing GT recall 82.4% and Kistenhub/Bremse pins unchanged.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 23:01:19 +02:00
Benjamin Admin 5318a70f9e feat(ai-sdk): interlocked-enclosure model — guard-open re-scoping of contact hazards
Class C (phase-aware, generic EN ISO 14120). A contact/entanglement hazard from
a moving part is removed during NORMAL operation when the part is behind an
interlocked guard; it remains only when the guard is open (maintenance/cleaning).

- New HazardPattern.GuardableByEnclosure flag; set on HP096 (friction at
  rotating surfaces) and HP101 (entanglement of hair/clothing).
- Narrative emits interlocked_enclosure for an interlocked door/hood.
- pattern_enclosure.go: suppressedByEnclosure (drop in normal-op-only contexts)
  + guardedLifecycles (re-scope to maintenance/cleaning).
- GT #3 gains the maintenance-phase entanglement/friction rows.

Generic + regression-safe: machines that do not emit interlocked_enclosure are
unaffected. GT #3 recall 80% -> 82.4%, one false positive removed (Aufwickeln).
Kistenhub 97.1% and all 26 Bremse pinned mappings unchanged.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 22:13:34 +02:00
Benjamin Admin cf86dc241b test(ai-sdk): GT #3 (commercial dishwasher) + fix Drehtisch keyword mislabel
Add ground_truth_warewashing.json + TestWarewashing_GTCoverage. The test runs
the UC-M narrative through the SAME chain as production (ParseNarrative ->
engine -> relevance + cyber filter), so keyword/gating fixes are measured on
the real hazard set, and false positives show up as "extra".

Class A (generic keyword hygiene): spuelarm/spuelfeld no longer map to library
component C004 ("Drehtisch" / rotary table) — that mislabelled the spray arm.
Keep the rotating_part tag. Removes the bogus "Drehtisch" hazard.

GT #3 baseline -> after Class A: recall 80% (unchanged), one false positive
(Drehtisch) removed. Kistenhub 97.1% and Bremse pinned mappings unchanged.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 21:51:26 +02:00
Benjamin Admin ba6f1bd1f6 Document obligation aggregation validation results
Hält den bewiesenen Shadow-Stand fest: vier Schichten (Obligation Aggregation,
Applicability, Recall-limited Segregation, Targeted LLM Fix) + Zahlen.

- 7-Firmen-Shadow: 136 legacy control-findings → 29 obligation findings = 4,7×
  (23 echte Lücken, 6 recall_limited in nur 2/7 Firmen, 46 MET, 2 N/A)
- LLM-Fix validiert: teamviewer 5→0, safetykon 7→4 (echte Portability-Lücke bleibt,
  legitimate_interest→NA); recall_limited 3→0 bei beiden
- Modell: Haiku 4.5 (fest verdrahteter Sufficiency-Judge), NICHT OVH-Kaskade/Opus
  → Deploy-Gate ist ein gültiger Anthropic-Key auf dev, nicht der OVH-Pfad

Kein Deploy, kein Live-Schalten.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 21:39:28 +02:00
Benjamin Admin 79ad95e244 feat(ai-sdk): keep cyber/AI hazards out of the traditional CE hazard log
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InitializeProject created hazards for every matched pattern, so native
cybersecurity/AI topics (unauthorized access, firmware manipulation, missing
SBOM, ...) mixed into the ISO 12100 hazard log. Route the security categories
(frontend groups I. Cyber/Netzwerk + J. KI) to the CRA module instead —
generically for EVERY project, enforced centrally in InitializeProject.

The split is by the nature of the hazard, not the component: functional-safety
control faults stay in CE (software faults, lost safety functions, config
errors, bus failures, botched updates) — they are random/systematic faults,
not attacks, and feed the CRA safety-function bridge. This holds whether the
controller is a bought-in CE-marked PLC or the manufacturer's own control.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 20:20:15 +02:00
Benjamin Admin a6f1020b2c feat(ai-sdk): IACE warewashing hazard patterns + cross-domain gating
Add commercial-dishwasher hazard patterns (HP2200-HP2206): hot-water/steam
scald on door opening, hot surfaces, hot ware, corrosive detergent/rinse-aid
burn, respiratory irritation, door pinch and wet-floor slip — each gated by
dom_warewashing so they never leak into other machine classes. Add the
matching warewashing protective measures (M2200-M2208).

Tighten capability-domain gating: emit dom_flame/dom_glue and add welding
surface-form gate terms (schweissarbeitsplatz, schweissfunke, lichtbogenzone,
...) so the welding/flame/glue burn patterns stop leaking into thermal-capable
machines such as a dishwasher.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 20:20:15 +02:00
Benjamin Admin c1ea9458a7 Add met_count and recall_limited_obligations to shadow telemetry
Reichert die Obligation-Shadow-Telemetrie um zwei Felder an für die Cross-Firmen-
Auswertung: met_count (abgedeckte Obligations) + recall_limited_obligations (welche
Obligations recall-limitiert sind) — erlaubt die Konzentrations-Analyse über Firmen.

7-Firmen-Shadow: 136 Control-Findings → 29 Obligation-Findings (4,7×); recall_limited
nur 6/29, konzentriert auf third_country/safeguards in 2/7 Firmen → LLM-Fix bounded.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 20:15:45 +02:00
Benjamin_Boenisch e50892a2aa feat(ai-sdk): searchControls — recall control sources on implementation questions (#39)
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2026-06-24 12:08:29 +00:00
Benjamin Admin 0631a98bdd Mark recall-limited obligations in DSE shadow telemetry
Trennt im Shadow drei Kategorien statt eines pauschalen FAILED:
  - echte Lücke (failed_by_current_checker)
  - redundanter Control-FP (kollabiert per OR zu MET)
  - Prüfer-Reichweitenproblem (recall_limited)

obligation_taxonomy.py: decision_method_required=LLM für recipients_disclosed,
third_country_transfer_disclosed, safeguards_disclosed, safeguards_accessible
(versioniertes Registry-Artefakt bis DB-Tabelle, v1-Spec). Empirisch: TeamViewer
0/22 kw+emb trotz erfüllter Pflicht (cos 0.49-0.57) → CONTENT/LLM-Klasse, kein Schwellen-Fix.

compute_obligation_shadow segregiert FAILED/PARTIAL über requires_llm(): teamviewer
5 Findings → 2 echte + 3 recall_limited. 9 neue Unit-Tests (41 gesamt grün).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 13:46:21 +02:00
Benjamin_Boenisch 9cfe6f83b1 feat(ai-sdk): source_role control-pool (controls != only technical_standard) (#38)
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2026-06-24 11:12:22 +00:00
Benjamin Admin c3542f7dfe feat(dse): obligation shadow telemetry
Verdrahtet die Obligation Aggregation Engine als Layer 4 (SHADOW) in v3_engine:
erzeugt aus den results zusätzlich Obligation-Ergebnisse AUSSCHLIESSLICH für die
Telemetrie. Greift NICHT in results ein — nutzer-sichtbare Findings unverändert.

- _obligation_shadow.py: fetch_obligation_markers (legal_obligations + applicability)
  + compute_obligation_shadow (pure): legacy_control_findings, obligation_shadow_results,
  collapse_factor, na_count, met_failed_delta, top_collapsed_obligations
- met-Signal = Legacy-passed (kein zusätzlicher Prüfer-Call/Key)

E2E (3 Firmen, echte Engine): 57 Control-Findings → 14 Obligation-Findings (4,1×);
Redundanz kollabiert wo Evidenz existiert, echte Lücken bleiben FAILED. 6 Unit-Tests grün.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 12:59:52 +02:00
Benjamin Admin 7ec29999a2 feat(obligation): obligation applicability predicates
Minimaler Applicability-Hook für die Obligation Aggregation Engine: entscheidet
aus dem Dokumenttext, ob eine bedingte Obligation anwendbar ist (True/False/None).

- has_third_country_transfer · uses_legitimate_interest · direct_marketing
  (+ Alias legitimate_interest_or_public_task)
- unbekanntes Prädikat → None → Aufrufer behält Default=anwendbar (fail-safe, nie stille NA)
- profiling/employment/telecom/health/data_act folgen als nächste Charge

Re-Benchmark (Opus-GT, 3 Firmen): Prädikate erkennen Transfer/berecht.Interesse/
Direktwerbung korrekt → keine falsche NA; NA-Flip-Probe bestätigt FEHLT→NA ohne Transfer.
14 Unit-Tests grün.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 12:43:42 +02:00
Benjamin Admin 402a42d30d feat(obligation): obligation-level aggregation engine
Erste Ausführung des Legal Obligation Layer v1: aggregiert Bewertungen auf
Kriterium-/Control-Ebene zu Findings auf Obligation-Ebene
(Regulation → Legal Obligation → Control → Criterion).

- regulierungs-agnostisch (obligation_id/tier/met/legal_basis/conditional)
- fail-safe: LM applicable=false→NA · keine erfüllt→FAILED · alle→MET · Teil→PARTIAL;
  BP/OPT covered→MET sonst OPEN (nie FAILED); LM unbewertbar→UNDETERMINED (Legacy behalten)
- Redundanz-Kollaps per OR pro legal_basis-Anforderung → kein künstliches PARTIAL
- Applicability als Hook (Prädikat-Engine folgt separat)

Shadow-Benchmark (Opus-GT, 3 Firmen): 38 Control-Findings → 13 Obligation-Findings
(2,9×); ~23 redundante Falsch-Positive strukturell korrigiert, echte Lücken erhalten,
PARTIAL=0. 16/16 Unit-Tests grün.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-24 12:28:03 +02:00
Benjamin_Boenisch df7966656a feat(ai-sdk): classify NIST/OWASP/Grundschutz as technical_standard (#37)
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2026-06-24 10:15:17 +00:00
Benjamin_Boenisch 05d75e8039 feat(ai-sdk): control-intent — technical_standard may win implementation questions (#36)
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2026-06-24 09:58:35 +00:00
Benjamin_Boenisch e24a551ee4 fix(ai-sdk): make interpretation-intent override reliably win (#35)
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2026-06-24 09:31:58 +00:00
Benjamin_Boenisch f11b2e035f feat(ai-sdk): controlled interpretation-intent guidance override (#34)
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2026-06-24 09:01:25 +00:00
Benjamin_Boenisch 230dc05287 feat(ai-sdk): legal-corpus coverage + Phase-2 citation-graph assessment (#33)
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Benjamin_Boenisch b83c3e6e00 ci(go-lint): golangci-lint v1.64.8 (go1.24) + new-from-merge-base (#32)
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2026-06-23 10:58:48 +00:00
Benjamin_Boenisch a1f425d43a feat(ai-sdk): authority-aware re-ranking for legal RAG (Phase 1) (#31)
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2026-06-23 09:30:52 +00:00
sharang 23c6ac6f32 Merge pull request 'feat: wire breakpilot-compliance to Infisical for local dev' (#30) from feat/infisical-secrets into main
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Sharang Parnerkar d82f86fc95 feat: wire breakpilot-compliance to Infisical for local dev
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- Add .infisical.json linking the repo to the breakpilot-compliance
  project on the self-hosted secrets.meghsakha.com instance.
- Add Makefile with infisical-aware targets (make dev, dev-build,
  dev-down, secrets, secrets-set). `make dev` runs `infisical run
  --env=dev -- docker compose up`, so secrets are injected at run
  time and .env files no longer touch disk.
- Add INFISICAL_SETUP.md with per-developer onboarding (CLI install,
  login, verify project link, run targets, Claude Code usage patterns,
  troubleshooting).
- Update README Quick Start to drop the cp .env.example .env step and
  point at make dev + INFISICAL_SETUP.md.
- Remove HashiCorp Vault references from CLAUDE.md (core-services list
  + sensitive-files list) and compliance-checklist.md TOM section;
  replace with Infisical.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-22 21:00:58 +02:00
Benjamin Admin a4d1105b3c Merge branch 'feat/advisor-corpus-authority' into HEAD
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2026-06-22 18:40:15 +02:00
Benjamin Admin 067118b12d fix(cascade): give OVH/gpt-oss reasoning headroom so Tier-2 isn't silently dead
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gpt-oss-120b is a reasoning model: it spends output tokens on chain-of-thought
before the answer. deep_check called _call_ovh with max_tokens=400, which
length-capped it mid-reasoning -> content=null -> the OVH tier returned nothing
and the cascade always skipped Tier-2. Floor the OVH budget to >=2000, fall back
to reasoning_content when content is null, and raise the client timeout to 90s
for the slower reasoning path.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-22 17:37:48 +02:00
Benjamin Admin b9c00574b1 docs(catalog): freeze criterion meta-model (compliance_tier axis)
Friert das Kriterien-Meta-Modell ein: atomare getypte Kriterien mit drei
Achsen (verification_method, decision_method, compliance_tier), 3-Status-Gating
nur auf LEGAL_MINIMUM (ERFÜLLT/TEILWEISE/FEHLT), 3-Ebenen-Reporting und
Grün/Blau/Rot-Semantik. Control-UUID bleibt stabil (kein physischer Split),
Speicherung in generation_metadata jsonb (keine Schema-Änderung). Validiert am
Pilot (6/6 Disagreements korrigiert, TEILWEISE empirisch bestätigt).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-22 17:37:48 +02:00
Benjamin Admin 5ff08a240b feat(dse): tiered 3-state evaluator + Layer-3 wiring (compliance_tier)
Getierte Auswertung mit compliance_tier-Gating (nur LEGAL_MINIMUM bestimmt
ERFÜLLT/TEILWEISE/FEHLT; BEST_PRACTICE/OPTIONAL → Empfehlungen). Deterministisch-
first: EMBEDDING-Präsenz + gecachter Haiku nur für Sufficiency → reproduzierbar
(löst die gemessene Judge-Varianz). Layer-3 in v3_engine gated auf tiered_criteria,
fail-safe (UNBESTIMMT → Legacy). Offene Kalibrierung: Präsenz-Schwelle (Schritt 2).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-22 17:37:48 +02:00
Benjamin Admin 3e3644f83d feat(checkers): platform router + Haiku sufficiency tier; cookie is first consumer
Generalise "Embedding finds, Claude decides" into the shared Pruefer-Library:
- router.route_and_check dispatches control -> sensor_classification -> Checker.
- build_spec reads sensor_classification (CONTENT/LLM -> judge=haiku, the
  validated sufficiency tier; the Qwen-first cascade is disproven for sufficiency).
- LLMChecker gains a Haiku-direct tier (reuses the validated deep_check prompt).
- Cookie Layer-3 now routes through route_and_check instead of bespoke code, so
  cookie is the first real router consumer -- proves the architecture end-to-end.

Reproduces the validated result via the shared path: FN 159->14, recall
0.13->0.92, precision 0.89 (vs bespoke 12/0.93/0.90 -- within Haiku noise).
Tests: 10/10 (router dispatch + build_spec + haiku tier + cookie rewire).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-22 17:37:48 +02:00
Benjamin Admin e809d0bc1c feat(cookie): Layer-3 sufficiency-judge — Haiku re-judges embedding/boost rescues
The embedding/boost auto-rescue is intentionally optimistic (finds the topic, not
fulfilment) -> 159 FN over-rescues vs Opus-GT (recall 0.13). Layer-3 re-judges
exactly the rescued passes with the validated Haiku judge (cohort
cookie_sufficiency_v1 P0.89/R0.91) -- NOT the Qwen-first cascade (local is
disproven as a sufficiency judge) -- and un-passes them when the obligation is
not concretely met. Gated to the full check (not skip_llm).

Measured (5-firm Opus-GT, engine+L3): FN 159->12, recall 0.13->0.93,
precision 0.96->0.90 (276 rescues corrected). "Embedding finds, Claude decides."

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-22 17:37:48 +02:00
Benjamin Admin 869e7aeb1e fix(cookie): gate non-COOKIE_POLICY controls out of the cookie-policy scan
The cookie agent loaded 100 controls, 11 of which have no COOKIE_POLICY in
applicable_artifacts -- Security/TOM/Audit (PROCESS) or Banner-behaviour
(BEHAVIOR) controls that produce nonsense findings against a cookie policy
(e.g. "TOMs not documented"). Add a cookie classification gate (analogous to the
DSE gate, keyed on COOKIE_POLICY, without the needs_review carve-out since the
artifact signal is decisive and the set is inventory-verified). Controls are
routed out, not deleted. Effect vs Opus-GT: FP 16->11, FN 179->159; the
remaining FN=159 over-rescue is a separate (judge/criteria) question, not routing.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-22 17:37:48 +02:00
Benjamin Admin 33085c61b4 feat(advisor): Korpus-Autoritaet — Fakten nur aus Kontext, Konflikt-Transparenz
Authority-/Freshness-Layer Punkte 1/2/5 im Advisor-Antwortpfad (Prompt-Ebene, kein
Schema). Neue Soul-Sektion "Korpus-Autoritaet & Aktualitaet": rechtliche FAKTEN
(Schwellen/Fristen/Zahlen/Pflichten) nur aus bereitgestelltem RAG-/Controls-Kontext,
Trainingswissen nie als Rechtsquelle; Konflikt -> Kontext gewinnt, transparent;
Co-Pilot-Ton statt Roboter-Verweigerung. Ergaenzt Quellentreue (Fundstellen) um die
Fakten-Ebene -> loest den "DSB ab 10 statt 20"-Fall. route.ts: RAG-Framing als
"deine EINZIGEN Rechtsquellen" verschaerft.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-21 23:18:05 +02:00
Benjamin_Boenisch 38a347a82a feat(platform): live-wire AGB v2 + DSE v3 + Architektur-Tab (#29)
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AGB v2 (decision_method routing, 71%FP->~0) + DSE v3 (4-layer, recovered from container) + Architektur-Tab into /sdk/agent live path. Incl CI robustness (detect-changes.sh + PR-head checkout) + security (hardcoded Qdrant key removed, gitleaks allowlist).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-21 12:58:26 +00:00
Benjamin Admin 6b9c7984b4 fix(ci): regulatory_news Zeitbomben-Test entschaerfen — test-go + Deploy entsperren
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test-go failte seit 2026-06-19: VBR-OBL-001 ("Widerrufsbutton ab 19.06.2026") ist
seit dem Stichtag abgelaufen und faellt aus dem Zukunfts-Horizont von GetRegulatoryNews,
wodurch TestGetRegulatoryNews_FromRealFiles bricht. Fix: now-Referenz injizierbar
(GetRegulatoryNewsAt), Test nutzt fixes Datum -> deterministisch. Produktions-Caller
unveraendert (Wrapper). admin rag-query Marker, damit detect-changes admin mitbaut
(article_label-Rendering). go vet + alle ai-sdk-Tests lokal gruen.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-21 00:51:47 +02:00
Benjamin Admin e646091ba2 chore(deploy): ai-sdk + admin neu bauen — Legal-Zitatfelder (article_label) nach Prod-Re-Ingest aktiv
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Triggert CI + detect-changes fuer ai-compliance-sdk + admin-compliance, nachdem der
vorige Deploy am last-build/main Tag-Bug haengenblieb (Builds uebersprungen). Nur
Doku-Kommentare, Logik unveraendert. Daten-Merge (Qdrant) ist bereits live.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-21 00:15:48 +02:00
Benjamin Admin 069b855b49 ci: re-trigger deploy — last-build/main tag-bug uebersprang ai-sdk/admin builds (Daten-Merge bereits live)
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2026-06-20 21:30:53 +02:00
Benjamin Admin 01af9b56a6 Merge branch 'main' of ssh://gitea.meghsakha.com:22222/Benjamin_Boenisch/breakpilot-compliance
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2026-06-20 20:58:33 +02:00
Benjamin Admin 017c9b3c12 feat(advisor): Legal-RAG Zitier-Metadaten — ai-sdk + Advisor/Drafting lesen article_label
ai-sdk (legal_rag_client/scroll/types) liest die gepinnten Spec-Felder
article_label/regulation_code/article/paragraph/sub/citation_style/is_recital
mit Fallback auf alt-ingestierte Chunks (regulation_id, section); neuer getBool-Helfer.
Advisor + Drafting-Engine bilden die Quellenzeile primaer aus article_label
("BDSG § 38 Abs. 1"), sonst aus den strukturierten Feldern. 17 Tests gruen, tsc sauber.
Vertrag: docs-src/development/rag_reingest_spec.md (§2/§7). Deploy an den Re-Ingest
gekoppelt — neue Felder sind bis dahin leer (graceful Fallback).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-20 14:34:15 +02:00
Benjamin Admin 76d1dc5e00 fix(db): dedupe doc_check_controls 3x + unique constraint
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compliance.doc_check_controls war auf prod historisch trippliziert
(Dump-Artefakt ohne PK/Unique: jede (doc_type, control_id)-Zeile 3x,
5622 statt 1874 ueber alle 8 doc_types). Die Migration dedupt idempotent
(kleinste ctid behalten) und setzt UNIQUE(doc_type, control_id), damit
sich die Triplikation nicht wiederholen kann.

Auf prod bereits direkt angewandt und in _migration_history registriert
(read-only verifiziert: 1874, alle doc_types total=distinct, Constraint
aktiv); dieser Commit codifiziert die Migration in der Deploy-Kette,
damit ein Restore aus einem aelteren Dump sie automatisch re-appliziert.

[migration-approved]

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-20 14:25:03 +02:00
Benjamin Admin b664d73ffc fix(advisor): Soul haerten — Quellentreue + keine Control-ID-Leaks
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Legal-RAG-Qualitaet (Vorher/Nachher-Test, 6 Fragen): das Modell erfand selbstbewusst
Paragraphen/Fristen/Schwellen (§38 BDSG "10%/250", fake "3-/12-Monats"-Fristen, §35 statt
§26, CRA-Fake-Artikel). Neue Sektion "Quellentreue": konkrete Fundstellen NUR wenn in den
RAG-Quellen belegt, sonst ehrlich "nicht belegt" — keine aus dem Gedaechtnis rekonstruierten
Nummern. Dev-Modus-Block entschaerft: Controls-Block als Inhaltsquelle nutzen, aber interne
Control-IDs (SEC-/AUTH-/CRYP-/MC-) NICHT in der Nutzerantwort ausgeben (Klartext fuehrt).

Live auf prod verifiziert: erfundene Fundstellen stark reduziert (oder als unbelegt markiert),
Control-ID-Leak = 0.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-19 11:39:42 +02:00
Benjamin Admin 90a70c8404 fix(drafting): Drafting-Engine auf prod reparieren — RAG via ai-sdk + OVH-LLM-Kaskade
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Die Drafting-Engine (Dokument-Entwurf, v2-Pipeline, Validierung, Drafting-Chat,
Vendor-Vertragspruefung) war auf prod doppelt tot:
- RAG ueber bp-core-rag-service:8097 (existiert auf prod nicht)
- LLM ueber OLLAMA_URL/api/chat mit qwen2.5vl (prod = ollama-embed, kein Chat-Modell)

Fix (analog zum Compliance-Advisor):
- rag-query.ts -> ai-compliance-sdk /sdk/v1/rag/search (bge-m3, prod-erreichbar).
- Neue lib/sdk/drafting-engine/llm-cascade.ts: OVH/LiteLLM (gpt-oss-120b) zuerst,
  Ollama als Dev-Fallback; cascadeComplete (JSON) + cascadeStream. Das Backend nutzt
  OVH+JSON bereits erfolgreich auf prod (extract-datasheet).
- 5 Aufrufstellen (draft-helpers, draft-helpers-v2, validate, chat, vendor-review)
  auf die Kaskade umgestellt; keine direkten Ollama-Calls mehr.
- Tests: llm-cascade + rag-query aktualisiert.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-19 10:02:06 +02:00