- Migrate chat API from Ollama to LiteLLM (OpenAI-compatible SSE)
- Add 15-min presenter storyline with bilingual scripts for all 20 slides
- Add FAQ system (30 entries) with keyword matching for instant answers
- Add IntroPresenterSlide with avatar placeholder and start button
- Add PresenterOverlay (progress bar, subtitle text, play/pause/stop)
- Add AvatarPlaceholder with pulse animation during speaking
- Add usePresenterMode hook (state machine: idle→presenting→paused→answering→resuming)
- Add 'P' keyboard shortcut to toggle presenter mode
- Support [GOTO:slide-id] markers in chat responses
- Dynamic slide count (was hardcoded 13, now from SLIDE_ORDER)
- TTS stub prepared for future Piper integration
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
PaddlePaddle 3.x + PP-OCRv5 requires >6GB RAM and has oneDNN
compatibility issues on CPU. PaddleOCR 2.x with PP-OCRv4 works
reliably with ~2-3GB RAM and has no MKLDNN issues.
- Pin paddlepaddle<3.0.0 and paddleocr<3.0.0
- Simplify main.py — single init strategy, direct 2.x result format
- Re-enable warmup (fits in memory with 2.x)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Previous FLAGS_use_mkldnn env var was ignored by PaddlePaddle 3.x.
Now using paddle.set_flags() API and PaddleOCR enable_mkldnn param.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Set FLAGS_use_mkldnn=0 before paddle import to avoid
ConvertPirAttribute2RuntimeAttribute error
- Support both PaddleOCR 2.x (list) and 3.x (dict) result formats
- Use use_textline_orientation (3.x) instead of use_angle_cls
- Remove latin lang fallback (not supported in 3.x)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The warmup OCR call during startup pushes memory over 6G and causes
OOM kills + restart loops. First real OCR request will be slow
(JIT compilation) but container stays stable.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
After every push to gitea, Claude automatically polls health endpoints
and notifies the user when deployment is ready for testing.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add PaddleOCR PP-OCRv5 service with 4G memory limit, model volume,
and health check (5min start period for model loading). Domain routing
(ocr.breakpilot.com) to be configured in Coolify UI.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace Hetzner references with Coolify. Deployment is now:
- Core + Compliance: Push gitea → Coolify auto-deploys
- Lehrer: stays local on Mac Mini
Updated: CLAUDE.md, MkDocs CI/CD pipeline, MkDocs index, environments.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
PaddleOCR 3.x removed show_log param and lang='latin'. Try multiple
init strategies in order until one succeeds.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Old paddlepaddle==2.6.2 + paddleocr==2.8.1 caused hangs on first OCR
request. Upgrading to paddlepaddle>=3.0.0 + paddleocr>=2.9.0 enables
native PP-OCRv5 support and fixes stability issues.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The import and model loading can take minutes and was blocking
the startup event, causing health checks to timeout. Now loads
in a background thread — health endpoint returns 200 immediately
with status 'loading' until model is ready.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Remove backend-core, billing-service, night-scheduler, and admin-core
as they are not used by any compliance/SDK service. Update
health-aggregator CHECK_SERVICES to reference consent-service instead.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The Dockerfile hardcoded TARGETARCH=arm64 for Mac Mini. Coolify server
is x86_64, causing exit code 126 (wrong binary arch). Now uses Docker
BuildKit's auto-detected TARGETARCH with dpkg fallback.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add QDRANT_API_KEY to config.py (empty string = no auth)
- Pass api_key to QdrantClient constructor (None when empty)
- Add QDRANT_API_KEY to coolify compose and env example
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add docker-compose.coolify.yml (17 services), .env.coolify.example,
and Gitea Action workflow for Coolify API deployment. Removes nginx,
vault, gitea, woodpecker, mailpit, and dev-only services. Adds Traefik
labels for *.breakpilot.ai domain routing with Let's Encrypt SSL.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
PaddleOCR 2.8.1 throws a generic Exception (not ValueError) when
ocr_version='PP-OCRv5' is used. Broadened except clause to catch
any error and fall back to lang='latin' for older versions.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
PaddleOCR 3.4.0 removed 'latin' language support, causing ValueError
at startup. Now uses lang='en' with ocr_version='PP-OCRv5' and falls
back to lang='latin' for older PaddleOCR versions.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
PaddlePaddle 3.x hat oneDNN/PIR Executor Bug. Zurueck auf 2.6.2
mit bewaeherter ocr() API statt predict().
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
PaddlePaddle braucht libgomp.so.1 fuer Inferenz.
lang wird ignoriert bei explizitem model_name.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Model wird beim Container-Start geladen (nicht erst beim ersten Request).
Health-Check start_period auf 300s erhoeht fuer initialen Download.
/health gibt "loading" zurueck bis Modell bereit ist.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
lang="latin" braucht text_recognition_model_name in PP-OCRv5.
Neue API nutzt predict() statt ocr(), Ergebnis-Format angepasst.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Microservice fuer PaddleOCR auf Hetzner. FastAPI mit /ocr und /health
Endpoints, API-Key Auth, 4GB Memory Limit, Modell-Cache Volume.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Collections may not exist if init_collections() failed at startup
(e.g. Qdrant not ready). Now index_documents() ensures the
collection exists before upserting.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Host already has Ollama running (LibreChat). Our container only needs
internal docker network access via container name.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Network already exists from compliance project — use external: true
and pre-create with docker network create before docker compose up.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- backend-core Dockerfile defaults TARGETARCH=arm64, override with build arg
- Add set -e in helper container to fail fast on build errors
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
