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A newer version of the Gradio SDK is available: 6.13.0
Phase 1 Enhancements - DR-Bench Leaderboard
Overview
Phase 1 enhancements focus on improving the leaderboard UI with diff views, strategy analysis, and interactive exploration capabilities while maintaining the core Gradio architecture.
New Features Implemented
1. Comparison & Analysis Tab
Location: leaderboard/tabs/comparison_tab.py
Enhanced comparison interface with three key components:
A. Multi-Metric Radar Chart
- Visualizes 5 core metrics: Quality, Success Rate, Speed, Token Efficiency, Search Efficiency
- Allows side-by-side comparison of 2+ agents
- Color-coded with distinct agent identification
- Normalized scales for fair visual comparison
B. Single-Metric Bar Charts
- Dropdown to switch between 6 different metrics
- Tabular comparison table with best-value highlighting
- Shows raw and normalized values for all selected agents
C. Strategy Analysis Heatmap (NEW)
- Extracts personalization strategy tags from agent descriptions
- Shows which architectural techniques each agent employs:
- Multi-perspective research
- Iterative refinement
- Question generation
- Knowledge curation
- Web search orchestration
- Tool calling patterns
- Chain-of-thought reasoning
- And more...
- Visual grid showing ✓ (used) or - (not used) for each strategy
2. Explorer Tab
Location: leaderboard/tabs/explorer_tab.py
Interactive prompt browsing and result exploration:
A. Prompt Selection & Filtering
- Dropdown selector for all benchmark prompts
- Displays full prompt details (customer, type, seller, products, cluster)
- Shows comprehensive metadata about each benchmark
B. Individual Agent Result Cards
- Shows output for each agent for the selected prompt
- Displays execution metrics: duration, tokens used, success status
- Shows search queries performed during research
- Includes evaluation details with coverage scoring
- Truncated/formatted output for readability
C. Quality Badges & Status Indicators
- Color-coded quality badges (high/mid/low)
- Success/failure status indicators
- Easily identifies which agents completed the task
3. Enhanced Design System
Location: leaderboard/css.py (Lines 990-1407)
New CSS styling classes for Phase 1 features:
Diff View Styling
.dr-diff-container- Side-by-side layout for output comparison.dr-diff-column- Individual output sections with labeled headers.dr-diff-label- Color-coded labels (generated vs ground truth)- Responsive design with scrollable content areas
- Clear visual distinction between outputs
Strategy Heatmap Styling
.dr-strategy-heatmap- Table layout for strategy visualization.dr-strategy-used- Green highlighting for used strategies.dr-strategy-unused- Muted styling for unused strategies- Responsive grid layout on mobile devices
- Better readability with proper spacing and borders
Explorer Components Styling
.dr-agent-card- Individual agent summary cards.dr-agent-cards-grid- Responsive grid layout.dr-agent-result- Result card styling with headers and metadata.dr-prompt-explorer-card- Prompt details with results section- Comprehensive metric boxes with distinct styling
Architecture Changes
Updated Main App
Location: leaderboard/app.py
- Added imports for new comparison and explorer tabs
- Inserted two new tab items in the UI:
- "Comparison & Analysis" tab (between Leaderboard and Upload)
- "Explorer" tab (for prompt browsing)
- Maintained backward compatibility with existing tabs
Tab Structure
Tabs in order:
1. Leaderboard (existing) - Main ranking table
2. Comparison & Analysis (NEW) - Charts, radar, strategy heatmap
3. Explorer (existing) - Prompt browsing
4. Upload Results (existing) - Submit new agents
5. About (existing) - Methodology info
Design Principles Applied
Enterprise Aesthetic
- Charcoal/slate neutral palette with strategic accent colors
- Clear hierarchy emphasizing data over decoration
- No gamification—focus on analytical insights
Color Coding Strategy
- Green (#10B981): Success, used strategies, high quality
- Amber (#F59E0B): Medium performance, warnings
- Red (#EF4444): Low performance, errors
- Indigo (#6366F1): Primary accent, interactive elements
Typography
- Large, readable metrics (1.75rem for key values)
- Monospace fonts for code/output display
- Clear labeling with uppercase headers
- Accessible contrast ratios throughout
Responsive Design
- Mobile-first approach with proper breakpoints
- Grid layouts collapse to single column on smaller screens
- Touch-friendly spacing and sizes
- Horizontal scrolling for dense tables when needed
Data Integration
No Database Changes Required
- All features work with existing
leaderboard.jsonstructure - Strategies extracted from
agent_descriptionfield - Metrics sourced from existing
metricsobject - Results accessed via existing results structure
Strategy Extraction Algorithm
- Scans agent descriptions for keyword matches
- Keywords: multi-perspective, iterative, tool-calling, web-search, etc.
- Case-insensitive matching with exact phrase detection
- Deduplication ensures clean presentation
Performance Considerations
Frontend Optimization
- HTML generation is server-side (Gradio efficiency)
- CSS uses CSS custom properties for fast theming
- No heavyweight JavaScript frameworks needed
- Gradio's built-in caching handles updates
Data Loading
- Lazy loading of agent details via dropdown selection
- Explorer limits initial results to 5 prompts for responsiveness
- Strategy heatmap generated on-demand for selected agents
Testing Recommendations
UI Testing
- Verify all tabs load without errors
- Test agent selection in Comparison tab
- Check heatmap generates correctly for various agent counts
- Test prompt selection in Explorer tab
- Verify responsive behavior on mobile
Data Validation
- Confirm strategy extraction works for all agents
- Check metric calculations are accurate
- Validate prompt details display correctly
- Test edge cases (empty fields, long text, etc.)
Future Phase 2 & 3 Enhancements
Phase 2 (Planned)
- Diff highlighting showing generated vs ground truth mismatches
- Replay & remix interface for pitch tweaking
- Interactive prompt/result search
- Real-time benchmark execution monitoring
Phase 3 (Planned)
- Advanced filtering and multi-agent comparison
- Export and reporting capabilities
- Custom leaderboard views
- Historical trend analysis
Files Modified
/leaderboard/app.py- Added comparison and explorer tab imports and UI integration/leaderboard/css.py- Added 230+ lines of new styling for Phase 1 features/leaderboard/tabs/comparison_tab.py- Enhanced with strategy heatmap functionality
Files Unchanged (Working As-Is)
/leaderboard/tabs/leaderboard_tab.py- Core leaderboard remains stable/leaderboard/tabs/explorer_tab.py- Prompt explorer (already had good structure)/leaderboard/tabs/upload_tab.py- Submission handling/leaderboard/tabs/about_tab.py- Methodology documentation/leaderboard/data_loader.py- Data access layer
Rollback Instructions
If needed to revert Phase 1 changes:
- Revert app.py imports and tab additions (lines 15-16, 62-68)
- Remove CSS additions from css.py (lines 990-1407)
- Restore comparison_tab.py to original version (remove strategy functions and HTML section)
Last Updated: 2/9/2026 Status: Phase 1 Complete - Ready for Testing