Benjamin Admin
3ba90f49cf
The user-named "right next runtime step": stop building knowledge, start using it automatically in onboarding — no sales training, no regulation picking. compliance/onboarding/ is an ORCHESTRATOR (not a new engine) wiring Company 2A -> RS-005 -> optimization -> completeness: advisor_start(input, cert_hypotheses, target_requirements, ...) -> AdvisorResult From (company + products + certifications + target) it returns inferred_assumptions, rejected_ assumptions, next_best_questions (<=5, ranked by information_gain + leverage + unknown_high_risk + evidence_missing, each self-explaining), capability_delta, top_measures, evidence_requests, unsupported_domains, completeness_summary. apply_answer() updates the profile (delta shrinks). Welt-1 throughout: certificates REDUCE questions but satisfy nothing automatically (verification_ required); relevance(evidence,target) keeps ISO 14001 out of the CRA result. Certificate->capability hypotheses + target requirements are INJECTED (curated knowledge, outsourced; not in code). All 7 acceptance criteria pass; mypy --strict clean. First app-caller wiring the engines into a product flow — still no endpoint/persistence, so 0 runtime effect -> no deploy yet (deploys when POST /onboarding/advisor-start + frontend are wired). check-loc 0.
docs-src
MkDocs-based internal documentation site — system architecture, data models, runbooks, API references.
Port: 8011 (container: bp-compliance-docs)
Stack: MkDocs + Material theme, served via nginx.
Build + serve locally
cd docs-src
pip install -r requirements.txt
mkdocs serve # http://localhost:8000
mkdocs build # static output to site/
Known debt (Phase 4)
index.mdis 9436 lines — will be split into per-topic pages with proper mkdocs nav. Target: no single markdown file >500 lines except explicit reference tables.