7f1269a370
1. filterCategory: fix inline event.target → uses btn parameter - All Agents tab filter buttons now correctly toggle active class 2. exportRecommendations/showApplyModal: read from agentData, not removed INLINE_RECOMMENDATIONS - Apply modal shows real recommendations - Export generates JSON with real data 3. Heatmap cell click: add showCellDetail modal with Chart.js line chart + prompt history - onclick='showCellDetail(model, agent)' on every td - renderCellChart computes score history from agent.history - prompt_change items filtered and displayed 4. watch-db.cjs: incremental DB sync tool - Polls git for changes in .kilo/agents/*.md and kilo-meta.json - Detects model_change vs prompt_change by comparing with previous version - Exports to JSON after sync, logs to .kilo/logs/watch-db.log - SIGINT/SIGTERM graceful shutdown - Trigger: npm run evolution:watch
94 lines
2.9 KiB
Markdown
94 lines
2.9 KiB
Markdown
# APAW Agent Evolution Dashboard
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## Overview
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This is a standalone HTML dashboard that visualizes agent model assignments, performance scores, and recommendations for the APAW codebase.
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## Features
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- Real-time agent model & performance tracking
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- Agent × Model compatibility heatmap
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- Performance impact analysis with Chart.js visualizations
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- Model recommendation engine with priority scoring
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- Evolution timeline and history tracking
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## Data Sources
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The dashboard pulls data from three primary sources:
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1. **.kilo/agents/*.md** - Agent definitions with model assignments, modes, colors, and descriptions
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2. **kilo-meta.json** - Central registry of agent metadata, categories, and capabilities
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3. **model-benchmarks-verified.json** - IF scores and context window data for all supported models
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## Build Process
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The `build-standalone-fixed.cjs` script:
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1. Parses all agent YAML frontmatter
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2. Computes composite performance scores using IF scores and context windows
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3. Generates model recommendations based on score improvements
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4. Embeds unified JSON data directly into the HTML file
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5. Updates JavaScript functions to use embedded data
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## Incremental DB Sync
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The `watch-db.cjs` script provides incremental database synchronization:
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1. Watches for changes in `.kilo/agents/*.md` and `kilo-meta.json`
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2. Only processes changed files (incremental update)
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3. Determines change type (model_change vs prompt_change)
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4. Updates database with new versions and metadata
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5. Exports updated data to JSON
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6. Clean shutdown on SIGINT/SIGTERM
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7. Configurable polling interval via `WATCH_INTERVAL_MS` env var
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8. Logging to `.kilo/logs/watch-db.log`
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## Validation
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The build process ensures:
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- ✅ No unicode escape sequences (no \u003c or \u003e characters)
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- ✅ Valid embedded JSON structure
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- ✅ Clean standalone HTML file with no external dependencies
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- ✅ Proper function updates (init, renderHeatmap, renderRecommendations)
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## Output Files
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- `index.standalone.html` - Self-contained dashboard with embedded data
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- `data/index.html` - Copy of standalone dashboard for web serving
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## Usage
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Simply open `index.standalone.html` in any modern browser. No server or external dependencies required.
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To run the incremental DB watcher:
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```bash
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# Run with default 60 second interval
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node agent-evolution/scripts/watch-db.cjs
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# Run with custom interval (10 seconds)
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WATCH_INTERVAL_MS=10000 node agent-evolution/scripts/watch-db.cjs
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# Run in background
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nohup node agent-evolution/scripts/watch-db.cjs > watch-db.log 2>&1 &
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```
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## Agent Count
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The dashboard currently tracks **34 agents** across multiple categories:
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- Core Development
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- Quality Assurance
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- Security
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- Analysis
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- Process Management
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- Cognitive Enhancement
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- Testing
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## Model Support
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Supports 15 verified models with IF scores from artificialanalysis.ai:
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- DeepSeek V4-Pro Max (IF: 89)
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- DeepSeek V4-Flash (IF: 86)
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- Kimi K2.6 (IF: 91)
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- Qwen3-Coder 480B (IF: 88)
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- GLM-5.1 (IF: 90)
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- And 10 more models |