Release Notes 7/15/25
Release Notes - July 15, 2025
Summary
This release delivers substantial improvements across our platform focused on enhanced user experience, system reliability, and backend infrastructure. We've addressed critical production issues, introduced new features for better workflow management, and strengthened our testing and monitoring capabilities.
API Changes
- Not breaking - this beta API provides a streamlined interface for real-time AI content analysis and risk detection. This single-endpoint API allows you to submit prompts and receive comprehensive analysis results in one call, making it ideal for integration and testing. See documentation for more information.
New Features
- Signal classifier (MTVS) v3.28
- Intent classifier v1.28
- Enhanced prompt details with event type and subtype information for comprehensive agentic interaction analysis
Improvements
- Improved date picker functionality in monitoring filters - resolved loading issues when clearing date selections
- Enhanced CSV upload process with better status tracking and user feedback
- Streamlined profile overview navigation (temporarily disabled as landing page)
- Improved collection selector functionality to display all available collections without pagination limits
- Streamlined inventory navigation with removal of unused dataset pages from sidebar
- Decreased timeout settings from one minute to 10 seconds
- Better error handling and tracking for collection processing workflows
- Strengthened CSV ingestion process with improved record creation timing
- Enhanced failure tracking and reporting for collection analysis runs
Bug Fixes
- Fixed historical prompt flagging data display in Cannon runs
- Resolved missing creator and flagged prompt information in Cannon interface
- Fixed profile search functionality in configuration interface
- Resolved CSV upload silent failure issues with improved error reporting and status tracking
- Streamlined backend processes for faster response times
This release significantly improves platform stability and user experience while laying the groundwork for enhanced AI governance capabilities.