a0604afaf6
- index.standalone.html → agent-evolution/archive/index.standalone-2026-05-25.html (generated build output) - tests/visual/dashboard-tabs/current/*.png → tests/visual/archive/dashboard-tabs-current-2026-05-25/ (runtime capture output) - Cleaned empty tests/visual/dashboard-tabs/current/ directory
APAW Agent Evolution Dashboard
Overview
This is a standalone HTML dashboard that visualizes agent model assignments, performance scores, and recommendations for the APAW codebase.
Features
- Real-time agent model & performance tracking
- Agent × Model compatibility heatmap
- Performance impact analysis with Chart.js visualizations
- Model recommendation engine with priority scoring
- Evolution timeline and history tracking
Data Sources
The dashboard pulls data from three primary sources:
- .kilo/agents/*.md - Agent definitions with model assignments, modes, colors, and descriptions
- kilo-meta.json - Central registry of agent metadata, categories, and capabilities
- model-benchmarks-verified.json - IF scores and context window data for all supported models
Build Process
The build-standalone-fixed.cjs script:
- Parses all agent YAML frontmatter
- Computes composite performance scores using IF scores and context windows
- Generates model recommendations based on score improvements
- Embeds unified JSON data directly into the HTML file
- Updates JavaScript functions to use embedded data
Validation
The build process ensures:
- ✅ No unicode escape sequences (no \u003c or \u003e characters)
- ✅ Valid embedded JSON structure
- ✅ Clean standalone HTML file with no external dependencies
- ✅ Proper function updates (init, renderHeatmap, renderRecommendations)
Output Files
index.standalone.html- Self-contained dashboard with embedded datadata/index.html- Copy of standalone dashboard for web serving
Usage
Simply open index.standalone.html in any modern browser. No server or external dependencies required.
Agent Count
The dashboard currently tracks 34 agents across multiple categories:
- Core Development
- Quality Assurance
- Security
- Analysis
- Process Management
- Cognitive Enhancement
- Testing
Model Support
Supports 15 verified models with IF scores from artificialanalysis.ai:
- DeepSeek V4-Pro Max (IF: 89)
- DeepSeek V4-Flash (IF: 86)
- Kimi K2.6 (IF: 91)
- Qwen3-Coder 480B (IF: 88)
- GLM-5.1 (IF: 90)
- And 10 more models