Files
APAW/agent-evolution
Deploy Bot 9b0f160587 feat(dashboard): unified data pipeline, verified benchmarks, and browser testing
- build-standalone-fixed.cjs: reads from 4 real sources (agents md, kilo-meta.json, model-benchmarks-verified.json, agent-versions.json); computes recommendations dynamically
- build-standalone-direct.cjs: direct data export + HTML embed pipeline
- dashboard-smoke-test.ts: Playwright E2E smoke test covering all 6 tabs
- model-benchmarks-verified.json: verified IF scores from artificialanalysis.ai for 15 models (SWE-bench unverifiable → null)
- agent-versions.json: 347 git history entries extracted for 34 agents
- kilo-meta.json: prompt-optimizer → qwen3.5-122b, memory-manager → deepseek-v4-pro-max
- index.html: Recommendations tab rendering updated for dynamic data
- Dockerfile + docker-compose.yml: mount-driven build, no image rebuild for data changes
- README.md: updated dashboard docs and verified benchmark sources
2026-05-25 21:05:14 +01:00
..

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:

  1. .kilo/agents/*.md - Agent definitions with model assignments, modes, colors, and descriptions
  2. kilo-meta.json - Central registry of agent metadata, categories, and capabilities
  3. model-benchmarks-verified.json - IF scores and context window data for all supported models

Build Process

The build-standalone-fixed.cjs script:

  1. Parses all agent YAML frontmatter
  2. Computes composite performance scores using IF scores and context windows
  3. Generates model recommendations based on score improvements
  4. Embeds unified JSON data directly into the HTML file
  5. 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 data
  • data/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