Changelog

New Features

• Central Extraction Service. New modular extraction pipeline with native text, pix2text OCR, and LLM Vision paths. Automatic GPU detection, vector/raster figure heuristics, and a vision_handled flag that prevents redundant LLM calls in smart mode. Runs behind a feature flag for gradual rollout.
• Unified grading orchestrator. Canvas and Offline grading consolidated into a single shared orchestrator, eliminating duplicated logic and ensuring both paths receive identical pipeline improvements.
• Language-aware grading. Automatic language detection from PDF text and grading instructions. Non-English exams receive localised feedback headers and language-specific prompts, with the annotation language forwarded end-to-end from API to grading worker.
• Simple schema bypass. Schemas with zero tasks now skip the full schema pipeline and route directly to basic grading, reducing latency and avoiding unnecessary processing.
• Schema builder sync. Preview-editor scroll synchronisation with drag-based region selection, allowing examiners to highlight PDF areas and map them to schema fields interactively.

Improvements

• All image processing consolidated to WebP format, removing the image format setting and reducing storage footprint.
• Vision-based annotation placement now used for offline grading, matching Canvas workflow quality.
• Schema grading instructions loaded from the linked schema file rather than requiring manual re-entry.
• Structured feedback added to the vision-only grading prompt for richer single-call results.
• Schema pipeline JSON repair improved with LLM-assisted recovery for malformed extraction output.
• UI refinements across analytics, SEO meta tags, and dashboard layout.

Bug Fixes

• Fixed double bullet prefix in structured feedback formatting.
• Fixed schema builder modal losing schemaJson when reopened after initial configuration.
• Fixed hide-unpublished filter and schema prompt persistence on save.
• Fixed vision_only missing from supported vision strategies, causing strategy validation failures.
• Fixed coordinate regressions and permission checks in the grading pipeline.
• Fixed PyMuPDF error noise with a suppress_mupdf_errors context manager.
• Fixed handwritten exam page-split detection for non-English content.
• Fixed scroll sync warm-up timing after preview render completes.

New Features

• Top-down scoring strategies. New deductive-first scoring pipeline with holistic ceilings, microcheck fallbacks, and scale-aligned common-error deductions. Deductive-first is now the default strategy.
• Common error detection. Grading prompts now include common error analysis, surfacing recurring mistakes across submissions.
• Terms acceptance onboarding. Users must accept EULA and SaaS Terms before using the app, with a full-screen overlay, version tracking, and a before-request consent gate.
• About page & Legal section. New About page with EULA and SaaS Terms, PDF generation, and Swedish translations.
• Schema ownership & visibility. Schemas now have ownership controls, visibility settings, and bulk delete support.
• Offline grading wizard. Unified 4-step wizard for offline grading that reuses Canvas shared steps, with Swedish translations.
• Cloud deployment infrastructure. Deployment tooling for both Linux and Windows environments.
• PDF annotation benchmark. New benchmark system comparing Canvas workflow annotation quality with per-page metrics and LLM analysis.
• Cost analytics persistence. Cost records are now persisted to PostgreSQL for long-term analytics.
• Stale job reaper. Automatic recovery of leaked resource pool slots from abandoned grading jobs.

Improvements

• Check type badges replaced with icons and type-aware grading display.
• Canvas workflow refactored: jobs, export manager, and auth split into modular packages.
• Schema sort order and Canvas grade toggle/display fixes.
• PDF formatting improvements: title spacing, address fields, table word-wrapping.
• Comprehensive lint cleanup: ruff, mypy, and ESLint errors resolved across the codebase.
• Check dependencies now enforced across all grading paths.

Bug Fixes

• Fixed Canvas PDF upload using the correct submission comment endpoint.
• Fixed RBAC course ownership verification: API endpoints now check user-course membership.
• Fixed X-Forwarded-For trust issue: uses remote_addr instead of trusting proxy headers.
• Added file locking and atomic writes for GDPR data exports.
• Extracted inline scripts from builder template for CSP compliance.
• Normalized rubric dependency IDs and added validation for invalid references.
• Fixed XSS vulnerability, fail-open lockout, and falsy timestamp handling.
• Fixed race condition guard requiring DOM stamp existence and match.
• Fixed schema access control vulnerabilities across API v1 and editor routes.
• Fixed 267 wrong or missing Swedish translation entries.
• Fixed mobile dashboard readability and dark-mode card shadow issues.

Security

• All critical and high severity vulnerabilities resolved in security audit.
• RBAC enforcement on schema edit, bulk delete, and visibility routes.
• SSRF protection strengthened with DNS rebinding rejection.
• Exception detail leaking eliminated from client-facing responses.

New Features

• Model Management. Administrators can now discover, enable, and filter available AI providers from the admin panel without touching configuration files.
• Swedish localisation. Full Swedish (sv) translation covering all UI strings, email templates, and error messages.
• Invisible text detection. PDF pre-processing now strips invisible text (white-on-white, black-on-black) to prevent prompt-injection attacks via exam content.
• Analytics errors page. Redesigned analytics dashboard with dedicated error breakdown and cost-per-submission metrics.

Improvements

• Canvas workflow refactored into 34 modular files, significantly faster to load on large assignments.
• Vision cache hit rate improved by 12% through deterministic image preprocessing.
• Grading pipeline latency reduced by approximately 18% for multi-page submissions.

Bug Fixes

• Fixed annotation placement on landscape-orientation PDFs.
• Resolved race condition in batch grading queue when >50 submissions were processed simultaneously.
• Corrected Canvas grade sync for assignments with extra-credit components.

Breaking Changes

• None. This release is fully backwards-compatible with v0.1.x configuration files and databases.

Welcome to the initial launch of the Assisted Exam Marking System (AEMS).

Core Features

• Canvas Integration (Assignments, Students, Rubrics)
• Visual Schema Builder with iterative AI generation
• Offline grading via the AEMS Local Bridge Agent
• Multi-modal grading pipeline (Vision and Text)
• Grading analytics and export to Canvas

Bug Fixes

• Fixed Canvas API token refresh failing silently after 24 hours.
• Resolved incorrect page-split detection for multi-student PDFs with non-standard page sizes.
• Fixed memory system not persisting corrections when the grading session was closed before the review step.

Improvements

• Reduced startup time by lazy-loading provider clients.
• Improved OCR fallback accuracy for low-contrast printed text.
• Added retry logic for Canvas API rate-limit responses (HTTP 429).