Not the endpoint yet — the bigger knowledge lever first. The Advisor can say "I need 5 answers" but does not yet decide what it can find out by ITSELF. The Silent Knowledge Pass runs in front of the Advisor and, from signals existing scanners/parsers already produce (website, repository, documents, product data), deterministically derives capabilities the company demonstrably HAS + product facts that drive scope — so every recognised item shrinks the delta and removes a question. compliance/onboarding/silent_intake.py: silent_intake(signals, signal_map) -> detected_capabilities (+ evidence already in hand) + product_facts. The signal->conclusion map is curated DATA (knowledge/onboarding/intake_signal_map.yaml), signals are injected (scanners are upstream). Pure, deterministic, no LLM. advisor_start gains detected_capabilities (folded into the profile at HIGH confidence -> covered, not asked) and an auto_detected result + headline. The experience flips from a question wall to "we already recognised 4 capabilities, 2 product facts and have 4 pieces of evidence in hand — only these few remain". Order now: Silent Pass -> #58 endpoint/frontend -> #59 empirical loop. NOT new architecture, just an orchestration step in front. Non-runtime (no app caller) -> no deploy. 15 onboarding tests pass, mypy --strict clean, check-loc 0.
breakpilot-compliance
DSGVO/AI-Act compliance platform — 10 services, Go · Python · TypeScript
Overview
breakpilot-compliance is a multi-tenant DSGVO/EU AI Act compliance platform that provides an SDK for consent management, data subject requests (DSR), audit logging, iACE impact assessments, and document archival. It ships as 10 containerised services covering an admin dashboard, a developer portal, a Python/FastAPI backend, a Go AI compliance engine, TTS, and a decentralised document store on IPFS. Every service is deployed automatically via Gitea Actions → Orca on every push to main.
Architecture
| Service | Tech | Port | Container |
|---|---|---|---|
| admin-compliance | Next.js 15 | 3007 | bp-compliance-admin |
| backend-compliance | Python / FastAPI 0.123 | 8002 | bp-compliance-backend |
| ai-compliance-sdk | Go 1.24 / Gin | 8093 | bp-compliance-ai-sdk |
| developer-portal | Next.js 15 | 3006 | bp-compliance-developer-portal |
| breakpilot-compliance-sdk | TypeScript SDK (React/Vue/Angular/vanilla) | — | — |
| consent-sdk | JS/TS Consent SDK | — | — |
| compliance-tts-service | Python / Piper TTS | 8095 | bp-compliance-tts |
| document-crawler | Python / FastAPI | 8098 | bp-compliance-document-crawler |
| dsms-gateway | Python / FastAPI / IPFS | 8082 | bp-compliance-dsms-gateway |
| dsms-node | IPFS Kubo v0.24.0 | — | bp-compliance-dsms-node |
All containers share the external breakpilot-network Docker network and depend on breakpilot-core (Valkey, Vault, RAG service, Nginx reverse proxy).
Quick Start
Prerequisites: Docker, Go 1.24+, Python 3.12+, Node.js 20+, Infisical CLI
git clone ssh://git@gitea.meghsakha.com:22222/Benjamin_Boenisch/breakpilot-compliance.git
cd breakpilot-compliance
# One-time per machine: log in to the self-hosted Infisical instance
infisical login --domain https://secrets.meghsakha.com
# Start the full stack with secrets injected from Infisical (env=dev)
make dev
Secrets are pulled from Infisical (secrets.meghsakha.com) at runtime; .env files are not used. See INFISICAL_SETUP.md for full onboarding, and make help for the rest of the targets (dev-build, dev-down, secrets, secrets-set).
For the Orca/Hetzner production target (x86_64), use the override:
make dev ENV=prod # or:
infisical run --env=prod -- docker compose -f docker-compose.yml -f docker-compose.hetzner.yml up -d
Development Workflow
Use feature branches off main. Supported prefixes: feat/, feature/, hotfix/.
git checkout main && git pull origin main
git checkout -b feat/my-change
# ... make changes ...
git push origin feat/my-change
# Open a PR → squash merge to main
Push to main triggers:
- Gitea Actions — lint → test → validate (see CI Pipeline below)
- Orca — automatic build + deploy (~3 min total)
Monitor status: https://gitea.meghsakha.com/Benjamin_Boenisch/breakpilot-compliance/actions
CI Pipeline
Defined in .gitea/workflows/ci.yaml.
| Job | What it checks |
|---|---|
loc-budget |
All source files ≤ 500 LOC; soft target 300 |
guardrail-integrity |
Commits touching guardrail files carry [guardrail-change] |
go-lint |
golangci-lint on ai-compliance-sdk/ |
python-lint |
ruff + mypy on Python services |
nodejs-lint |
tsc --noEmit + ESLint on Next.js services |
test-go-ai-compliance |
go test ./... in ai-compliance-sdk/ |
test-python-backend-compliance |
pytest in backend-compliance/ |
test-python-document-crawler |
pytest in document-crawler/ |
test-python-dsms-gateway |
pytest test_main.py in dsms-gateway/ |
sbom-scan |
License + vulnerability scan via syft + grype |
validate-canonical-controls |
OpenAPI contract baseline diff |
File Budget
| Limit | Value | How to check |
|---|---|---|
| Soft target | 300 LOC | bash scripts/check-loc.sh |
| Hard cap | 500 LOC | Same; also enforced by PreToolUse hook + git pre-commit + CI |
| Exceptions | .claude/rules/loc-exceptions.txt |
Require written rationale + [guardrail-change] commit marker |
The .claude/settings.json PreToolUse hook blocks Claude Code from writing or editing files that would exceed the hard cap. The git pre-commit hook re-checks. CI is the final gate.
Links
| URL | |
|---|---|
| Admin dashboard | https://admin-dev.breakpilot.ai |
| Developer portal | https://developers-dev.breakpilot.ai |
| Backend API | https://api-dev.breakpilot.ai |
| AI SDK API | https://sdk-dev.breakpilot.ai |
| Gitea repo | https://gitea.meghsakha.com/Benjamin_Boenisch/breakpilot-compliance |
| Gitea Actions | https://gitea.meghsakha.com/Benjamin_Boenisch/breakpilot-compliance/actions |