Metalayer — Production Source Code

The Intelligence Layer. A complete, production-ready React application implementing all four Metalayer core systems with full backend integration support, Docker deployment, and CI/CD pipeline.

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⚡ Quick Start

Requirements: Node.js v18+ and npm

# 1. Clone the repository
git clone https://github.com/cloudygetty-ai/metalayer.git
cd metalayer

# 2. Install dependencies
npm install

# 3. Start development server
npm run dev
# → Opens automatically at http://localhost:3000

# 4. Build for production
npm run build

Troubleshooting

If you encounter issues, run the verification script:

./verify-setup.sh

Common fixes:

• Module not found: Delete node_modules and run npm install again
• Port 3000 in use: Kill the process or edit vite.config.js to use a different port
• Build fails: Ensure you're using Node.js v18 or higher (node -v)

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📦 What's Included

Core Systems (All Fully Implemented)

• Tone Engine — 4 interactive sliders, 5 presets, live preview, custom profiles
• Memory Engine — Full CRUD, 6 types, tags, search, semantic retrieval
• Prompt Optimizer — Input → optimized output with tone + memory injection
• Model Routing — Auto/manual modes, 5 models, custom rules, decision log

Production Features

• ✅ Complete Zustand state management with persistence
• ✅ API service layer ready for backend integration
• ✅ Docker + docker-compose configuration
• ✅ Nginx production config with gzip, caching, security headers
• ✅ GitHub Actions CI/CD pipeline
• ✅ ESLint configuration
• ✅ Environment variable management
• ✅ Comprehensive deployment documentation

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Project Structure

metalayer/
├── index.html                          # HTML entry point
├── vite.config.js                      # Vite configuration
├── package.json                        # Dependencies
└── src/
    ├── main.jsx                        # React root mount
    ├── App.jsx                         # Root component + page router
    │
    ├── lib/
    │   └── store.js                    # Zustand state — all four engines
    │
    ├── styles/
    │   ├── globals.css                 # Design tokens, reset, typography
    │   └── components.css              # Button, Card, Badge, Input, Modal…
    │
    └── components/
        ├── shared/
        │   ├── AppShell.jsx            # Sidebar + topbar layout
        │   └── AppShell.css
        │
        ├── ToneEngine/
        │   ├── ToneEngine.jsx          # Sliders, presets, live preview
        │   └── ToneEngine.css
        │
        ├── MemoryEngine/
        │   ├── MemoryEngine.jsx        # CRUD, tags, search, filters
        │   └── MemoryEngine.css
        │
        ├── PromptOptimizer/
        │   ├── PromptOptimizer.jsx     # Input → optimized output + history
        │   └── PromptOptimizer.css
        │
        └── ModelRouting/
            ├── ModelRouting.jsx        # Model cards, rules CRUD, routing log
            └── ModelRouting.css

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Core Systems

Tone Engine (src/components/ToneEngine/)

Four interactive sliders: Directness, Warmth, Formality, Conciseness. Five built-in presets (Executive, Creative, Technical, Supportive, Neutral). Live preview panel updates in real time. Custom profiles saved to localStorage via Zustand persist.

Memory Engine (src/components/MemoryEngine/)

Full CRUD for six memory types: Project, Preference, Constraint, Style, Context, Persona. Tag system with add/remove. Real-time search and type filter. Retrieval count tracking. Empty and loading states included.

Prompt Optimizer (src/components/PromptOptimizer/)

Raw text input with keyboard shortcut (⌘+Enter). Optimizer applies current tone descriptor, retrieves relevant memory items by keyword matching, adds format instructions based on detected task type, and routes to the optimal model. Displays result with annotated injection sections, character count delta, and copy-to-clipboard. History panel with up to 50 entries.

Model Routing (src/components/ModelRouting/)

Five pre-configured models (Claude 3.5 Sonnet, GPT-4o, Gemini 1.5 Pro, Claude Haiku, GPT-4o Mini). Auto mode detects task type from prompt keywords. Manual mode uses the default model. Custom keyword rules with priority ordering. Full routing decision log.

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State Architecture

All state lives in src/lib/store.js as four independent Zustand stores, each persisted to localStorage:

Store	Key	Contents
useToneStore	metalayer-tone	Slider values, active preset, custom profiles
useMemoryStore	metalayer-memory	Memory items, search state, filters
useOptimizerStore	metalayer-optimizer	Optimization history
useRoutingStore	metalayer-routing	Mode, rules, routing log

All stores are cross-connected: the optimizer reads from tone and memory stores before generating output, and routing decisions log through the routing store.

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Connecting to a Real AI API

The optimizer currently runs client-side simulation. To connect to a real API, replace the optimizePrompt function body in src/lib/store.js:

// Replace the simulation block with a real API call:
const response = await fetch('/api/optimize', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    prompt: rawPrompt,
    tone:   { directness, warmth, formality, conciseness },
    memory: relevantMem,
    model:  routingModel,
  }),
})
const data = await response.json()

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Design System

All design tokens are CSS custom properties in src/styles/globals.css. The token set covers backgrounds (7 levels), accent colors (6 semantic colors + dark variants), typography (EB Garamond display + Rubik body), spacing (s-1 through s-7), border radii, shadows, and transitions.

Font stack: EB Garamond (display, via Google Fonts) + Rubik (body, via Google Fonts).

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Tech Stack

Layer	Library	Version
UI Framework	React	18.2
State Management	Zustand	4.5
Build Tool	Vite	5.1
Routing	React Router DOM	6.22
Persistence	Zustand persist middleware	—
Utilities	clsx, date-fns	—

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License

MIT. Built for Metalayer v1.0.