npm package: @papuman/bmad-buff
Description: BMAD-BUFF: Enhanced BMAD-METHOD™ with Multi-LLM Orchestration via BUFF Router and ROMA Orchestrator
Author: Javier Carrillo
Latest version: 4.1.2

# BMAD-BUFF System 🚀

**Revolutionary Multi-LLM Orchestration for 10x Faster AI-Driven Development**

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## 🎯 What is BMAD-BUFF?

BMAD-BUFF is an advanced orchestration system built on top of the BMAD-METHOD™ that intelligently distributes development tasks across multiple specialized LLMs (Claude, GPT, Gemini, Perplexity) to achieve unprecedented development speed and quality.

### Key Features

- **🧠 Multi-LLM Orchestration**: Automatically routes tasks to the most suitable LLM
- **⚡ 10x Faster Development**: Parallel execution across multiple AI providers
- **💰 Cost Optimization**: Uses cheaper models for simple tasks, premium for complex
- **🔄 ROMA Integration**: Recursive task decomposition and orchestration
- **🎭 BUFF Routing**: Intelligent load balancing across providers
- **🚀 YOLO Mode**: Skip confirmations while maintaining quality
- **📊 Vector Database**: Enhanced context with ChromaDB/Vectra

## 🏗️ Architecture

```
BMAD-BUFF System
├── ROMA Orchestrator (Task Decomposition)
├── BUFF Router (LLM Selection)
├── Agent Spawner (Specialized Agents)
└── Vector Database (Context Enhancement)
```

## 📦 Installation

```bash
npm install -g bmad-buff-system
```

Or clone and install locally:

```bash
git clone https://github.com/papuman/bmad-buff-system.git
cd bmad-buff-system
npm install
npm run setup
```

## 🔧 Configuration

1. Create a `.env` file in `expansion-packs/bmad-buff/`:

```env
# Required API Keys
OPENAI_API_KEY=your_openai_key
GEMINI_API_KEY=your_gemini_key
PERPLEXITY_API_KEY=your_perplexity_key

# Optional
ANTHROPIC_API_KEY=your_anthropic_key  # Only if not using Claude Code
```

2. The system automatically detects and uses available LLMs based on configured API keys.

## 🚀 Usage

### Basic Usage

```javascript
const { BMADWorkflow } = require('bmad-buff-system');

const workflow = new BMADWorkflow({
  project: 'Build AI-powered app',
  requirements: ['auth', 'api', 'frontend', 'ml-pipeline']
});

await workflow.execute();
```

### CLI Usage

```bash
# Start BMAD workflow
bmad start "Build a social media analytics platform"

# Enable YOLO mode (skip confirmations)
bmad start --yolo "Create REST API with auth"

# Use specific LLM strategy
bmad start --strategy multi-llm "Complex project"
```

## 🎯 LLM Specialization

BMAD-BUFF automatically assigns tasks to specialized LLMs:

| Task Type | Preferred LLM | Why |
|-----------|--------------|-----|
| Code Implementation | Claude Opus | Best for complex coding |
| Architecture Design | Gemini Pro | Deep thinking & planning |
| Strategic Planning | GPT-5 | Advanced reasoning |
| Research & Docs | Perplexity | Real-time web search |
| Quick Validation | Gemini Flash | Fast execution |
| Frontend | Claude Sonnet | UI/UX development |
| Simple Tasks | GPT-3.5 | Cost-effective |

## 📊 Performance Benefits

### Multi-LLM vs Single-LLM

- **4x better rate limit capacity** - Distribute load across providers
- **60% faster execution** - Parallel processing
- **30% cost reduction** - Smart model selection
- **99.9% uptime** - Fallback chains ensure reliability

## 🔄 Workflow Example

```javascript
// BMAD-BUFF automatically:
// 1. Decomposes your project into tasks
// 2. Assigns optimal LLM to each task
// 3. Spawns specialized agents
// 4. Executes in parallel
// 5. Manages dependencies

const project = {
  name: "E-commerce Platform",
  tasks: [
    "Design database schema",      // → Gemini Pro
    "Build authentication API",     // → Claude Opus
    "Create React components",      // → Claude Sonnet
    "Research payment gateways",    // → Perplexity
    "Write unit tests",            // → Claude Opus
    "Generate documentation"       // → Perplexity
  ]
};

// All handled automatically!
await bmadBuff.execute(project);
```

## 🛠️ Advanced Features

### YOLO Mode
Skip confirmations while maintaining quality:
```javascript
workflow.enableYolo(); // Move fast, break nothing
```

### Vector Database Integration
Enhanced context with persistent memory:
```javascript
workflow.enableVectorDB({
  type: 'chromadb',
  collections: ['patterns', 'solutions']
});
```

### Custom Agent Templates
Define specialized agents:
```javascript
workflow.registerAgent({
  name: 'SecurityExpert',
  model: 'gpt-4',
  skills: ['penetration-testing', 'code-audit']
});
```

## 📈 Monitoring & Analytics

Track your development metrics:
- Tasks completed per hour
- LLM usage distribution
- Cost optimization savings
- Performance bottlenecks

## 🤝 Contributing

We welcome contributions! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for details.

## 📄 License

MIT License - see [LICENSE](LICENSE) for details.

## 🙏 Acknowledgments

- Built on top of the BMAD-METHOD™ framework
- Inspired by ROMA and Codebuff methodologies
- Built for the Claude Code community
- Powered by OpenAI, Anthropic, Google, and Perplexity

## 🚨 Support

- [GitHub Issues](https://github.com/papuman/bmad-buff-system/issues)
- [Documentation](https://github.com/papuman/bmad-buff-system/wiki)

---

**Built with ❤️ by Javier Carrillo (papuman)**

*Revolutionizing AI-driven development, one task at a time.*