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April 2026 Release

Released: April 2026

This release rolls out Auth0 authentication across the platform and expands Clean Room Studio with in-browser R support, manual analysis syncing, and a more capable AI code editor.

GoFigr now authenticates users through Auth0 on both the web app and the gofigr Python client, with the legacy auth path available in dual mode for a smooth transition.

Key capabilities:

  • Auth0 login on the web app, with the legacy UI removed
  • MFA enrollment and live status directly from user settings
  • Password change, email update, and claim sync routed through Auth0
  • Separate SPA and CLI client IDs exposed via the /info endpoint
  • gfconfig device-code login — the Python client now supports Auth0 Device Authorization Flow, auto-opening the browser for verification
  • Dual-mode server authentication so existing API keys and legacy credentials keep working

Auth0 integration covers: Server v2.10.0, Web App v2.2.5, Python v2.2.0.


Clean Room Studio is no longer Python-only. Both the in-browser runtime and the AI code editor now understand R.

New capabilities:

  • WebR Clean Room runtime — run R figures entirely in the browser with JS-side publishing and watermarking
  • Package preloading, cache invalidation, and DataFrame preview for WebR
  • Base R graphics support in Clean Room Studio
  • R language support in the AI code editor — agentic code editing now works on R workspaces
  • WebR publish() parameterswidth, height, and dpi are honored in the WebR shim, matching the Python API

Clean Room (Python) → · Clean Room (R) →


Story analysis tracking is now an explicit, user-controlled action instead of a background auto-sync.

What’s new:

  • Sync Analysis button and modal replace auto-tracking for story updates
  • Story config auto-saves before refine and recreate operations
  • Streamlined “Story Updated” modal copy
  • Auto-scroll to new slides is suppressed during sync to avoid jumpy layouts

AI Story Mode documentation →


The AI code editor in Clean Room Studio gets more context and better recovery behavior.

Improvements:

  • Auto-retry on failure — AI code changes are automatically retried on execution failure or no output, with runtime and publish() details added to the feedback prompt
  • publish() parameter awareness — the editor knows about width, height, and dpi arguments
  • Figure image and package context are now passed to the code edit agent for better grounding
  • Improved chat context — the latest figure image is sent after conversation history, keeping responses grounded in the current state

🐍 Python Client: @reproducible & Watermarks

Section titled “🐍 Python Client: @reproducible & Watermarks”

The gofigr Python client sharpens its watermarking and broadens @reproducible parameter support.

Improvements:

  • Short ID watermarks — watermark size calculation now uses short IDs, producing smaller, cleaner QR codes
  • QR library migration from pyqrcodeng to python-qrcode
  • @reproducible container support — decorator now handles tuples, numpy arrays, and nested containers
  • Auto-injected publish in Clean Room code execution
  • Matplotlib DPI capture in the clean room manifest for accurate Pyodide rendering
  • Fixed pad_for_watermark widening images beyond the figure’s intended width
  • Fixed PosixPath serialization error in FileData.read

  • Workspace dropdown is always visible so users can create new workspaces from anywhere
  • Workspace link in the revision view, with the workspace selector syncing on navigation
  • Refresh buttons added to the revision view, revision selector, and related panels
  • Real-time capture wizard: data tracking and Clean Room examples, gfconfig integration, and API key handling improvements
  • Clean Room manifest viewer: raw JSON toggle and formatValue helper
  • Backend performance improvements (faster short ID lookups, faster cold starts)
  • Numerous scroll, layout, and copy fixes across Clean Room Studio and Story Mode