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Changelog

All notable changes to Augo will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

Note: During alpha development, this changelog is updated only at version releases. For detailed changes between releases, see the Git commit history.

[0.1.1-alpha] - 2025-12-28

Fixed

  • Critical: Fixed application crash on first launch when server URL is not configured. Previously required --dart-define=API_BASE_URL=xxx to start the app; now the app gracefully shows the server configuration page.
  • Critical: Fixed crash when opening Speech Settings page without --dart-define=SPEECH_WS_HOST=xxx. Users can now configure WebSocket host directly in the settings UI.
  • Added ConfigurationCheckInterceptor to validate server configuration before making network requests.
  • Added ServerNotConfiguredException for clearer error handling when server is not configured.

[0.1.0-alpha] - 2025-12-27

Added

  • Initial alpha release of Augo, the privacy-first AI financial assistant.
  • Core FastAPI backend with LangGraph agent support.
  • Flutter mobile client with GenUI (Server-driven UI) capabilities.
  • Transaction management, budget analysis, and financial forecasting features.
  • Integration with Langfuse for AI observability.
  • Docker and Docker Compose support for easy deployment.
  • Comprehensive Self-Hosting and Architecture guides.
  • Detailed .env.example with categorized configurations for easy setup.

Changed

  • Transitioned AI skills to a more robust script-based execution model for improved security and performance.
  • Centralized project versioning with a root VERSION file.
  • Improved color system consistency across the mobile client.
  • Optimized Docker builds using multi-stage builds.

Fixed

  • Security: Fixed critical shell injection vulnerability in filesystem tools.
  • Security: Removed hardcoded API keys from binary and source code.
  • Fixed AI streaming timeout issues on the client side.
  • Resolved various UI rendering inconsistencies.
  • Fixed Docker entrypoint path issues for Python module loading.
  • Fixed 24+ failing unit and integration tests to ensure 100% test pass rate.