- Updated configuration and deployment files - Improved system architecture and components - Enhanced documentation and testing - Fixed various issues and added new features 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
9.9 KiB
BZZZ Installation System
A comprehensive one-command installation system for BZZZ distributed AI coordination platform, similar to Ollama's approach.
Overview
The BZZZ installation system provides:
- One-command installation:
curl -fsSL https://chorus.services/install.sh | sh - Automated system detection: Hardware, OS, and network configuration
- GPU-aware setup: Detects NVIDIA/AMD GPUs and recommends Parallama for multi-GPU systems
- Web-based configuration: Beautiful React-based setup wizard
- Production-ready deployment: Systemd services, monitoring, and security
Installation Architecture
Phase 1: System Detection & Installation
-
System Requirements Check
- OS compatibility (Ubuntu, Debian, CentOS, RHEL, Fedora)
- Architecture support (amd64, arm64, armv7)
- Minimum resources (2GB RAM, 10GB disk)
-
Hardware Detection
- CPU cores and model
- Available memory
- Storage capacity
- GPU configuration (NVIDIA/AMD)
- Network interfaces
-
Dependency Installation
- Docker and Docker Compose
- System utilities (curl, wget, jq, etc.)
- GPU drivers (if applicable)
-
AI Model Platform Choice
- Parallama (Recommended for Multi-GPU): Our multi-GPU fork of Ollama
- Standard Ollama: Traditional single-GPU Ollama
- Skip: Configure later via web UI
Phase 2: BZZZ Installation
-
Binary Installation
- Download architecture-specific binaries
- Install to
/opt/bzzz/ - Create symlinks in
/usr/local/bin/
-
System Setup
- Create
bzzzsystem user - Setup directories (
/etc/bzzz,/var/log/bzzz,/var/lib/bzzz) - Configure permissions
- Create
-
Service Installation
- Systemd service files for BZZZ Go service and MCP server
- Automatic startup configuration
- Log rotation setup
Phase 3: Web-Based Configuration
-
Configuration Server
- Starts BZZZ service with minimal config
- Launches React-based configuration UI
- Accessible at
http://[node-ip]:8080/setup
-
8-Step Configuration Wizard
- System Detection & Validation
- Network Configuration
- Security Setup
- AI Integration
- Resource Allocation
- Service Deployment
- Cluster Formation
- Testing & Validation
Required User Information
1. Cluster Infrastructure
- Network Configuration
- Subnet IP range (auto-detected, user can override)
- Primary network interface selection
- Port assignments (BZZZ: 8080, MCP: 3000, WebUI: 8080)
- Firewall configuration preferences
2. Security Settings
-
SSH Key Management
- Generate new SSH keys
- Upload existing keys
- SSH username and port
- Key distribution to cluster nodes
-
Authentication
- TLS/SSL certificate setup
- Authentication method (token, OAuth2, LDAP)
- Security policy configuration
3. AI Integration
-
OpenAI Configuration
- API key (secure input with validation)
- Default model selection (GPT-5)
- Cost limits (daily/monthly)
- Usage monitoring preferences
-
Local AI Models
- Ollama/Parallama endpoint configuration
- Model distribution strategy
- GPU allocation for Parallama
- Automatic model pulling
4. Resource Management
-
Hardware Allocation
- CPU cores allocation
- Memory limits per service
- Storage paths and quotas
- GPU assignment (for Parallama)
-
Service Configuration
- Container resource limits
- Auto-scaling policies
- Monitoring and alerting
- Backup and recovery
5. Cluster Topology
- Node Roles
- Coordinator vs Worker designation
- High availability setup
- Load balancing configuration
- Failover preferences
Installation Flow
Command Execution
curl -fsSL https://chorus.services/install.sh | sh
Interactive Prompts
-
GPU Detection Response
🚀 Multi-GPU Setup Detected (4 NVIDIA GPUs) Parallama is RECOMMENDED for optimal multi-GPU performance! Options: 1. Install Parallama (recommended for GPU setups) 2. Install standard Ollama 3. Skip Ollama installation (configure later) -
Installation Progress
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔥 BZZZ Distributed AI Coordination Platform Installer v1.0 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ [INFO] Detected OS: Ubuntu 22.04 [INFO] Detected architecture: amd64 [SUCCESS] System requirements check passed [INFO] Detected 4 NVIDIA GPU(s) [SUCCESS] Dependencies installed successfully [SUCCESS] Parallama installed successfully [SUCCESS] BZZZ binaries installed successfully [SUCCESS] Configuration server started -
Completion Message
🚀 Next Steps: 1. Complete your cluster configuration: 👉 Open: http://192.168.1.100:8080/setup 2. Useful commands: • Check status: bzzz status • View logs: sudo journalctl -u bzzz -f • Start/Stop: sudo systemctl [start|stop] bzzz 📚 Docs: https://docs.chorus.services/bzzz 💬 Support: https://discord.gg/chorus-services
Web Configuration Flow
Step 1: System Detection
- Display detected hardware configuration
- Show GPU setup and capabilities
- Validate software requirements
- System readiness check
Step 2: Network Configuration
- Network interface selection
- Subnet configuration
- Port assignment
- Firewall rule setup
- Connectivity testing
Step 3: Security Setup
- SSH key generation/upload
- TLS certificate configuration
- Authentication method selection
- Security policy setup
Step 4: AI Integration
- OpenAI API key configuration
- Model preferences and costs
- Ollama/Parallama setup
- Local model management
Step 5: Resource Allocation
- CPU/Memory allocation sliders
- Storage path configuration
- GPU assignment (Parallama)
- Resource monitoring setup
Step 6: Service Deployment
- Service configuration review
- Container deployment
- Health check setup
- Monitoring configuration
Step 7: Cluster Formation
- Create new cluster or join existing
- Network discovery
- Node role assignment
- Cluster validation
Step 8: Testing & Validation
- Connectivity tests
- AI model verification
- Performance benchmarks
- Configuration validation
Files Structure
/home/tony/chorus/project-queues/active/BZZZ/install/
├── install.sh # Main installation script
├── config-ui/ # React configuration interface
│ ├── package.json # Dependencies and scripts
│ ├── next.config.js # Next.js configuration
│ ├── tailwind.config.js # Tailwind CSS config
│ ├── tsconfig.json # TypeScript config
│ ├── postcss.config.js # PostCSS config
│ └── app/ # Next.js app directory
│ ├── globals.css # Global styles
│ ├── layout.tsx # Root layout
│ ├── page.tsx # Home page (redirects to setup)
│ └── setup/
│ ├── page.tsx # Main setup wizard
│ └── components/ # Setup step components
│ ├── SystemDetection.tsx
│ ├── NetworkConfiguration.tsx
│ ├── SecuritySetup.tsx
│ ├── AIConfiguration.tsx
│ ├── ResourceAllocation.tsx
│ ├── ServiceDeployment.tsx
│ ├── ClusterFormation.tsx
│ └── TestingValidation.tsx
├── requirements.md # Detailed requirements
└── INSTALLATION_SYSTEM.md # This document
Key Features
1. Intelligent GPU Detection
- Automatic detection of NVIDIA/AMD GPUs
- Multi-GPU topology analysis
- Recommends Parallama for multi-GPU setups
- Fallback to standard Ollama for single GPU
- CPU-only mode support
2. Comprehensive System Validation
- Hardware requirements checking
- Software dependency validation
- Network connectivity testing
- Security configuration verification
3. Production-Ready Setup
- Systemd service integration
- Proper user/permission management
- Log rotation and monitoring
- Security best practices
- Automatic startup configuration
4. Beautiful User Experience
- Modern React-based interface
- Progressive setup wizard
- Real-time validation feedback
- Mobile-responsive design
- Comprehensive help and documentation
5. Enterprise Features
- SSH key distribution
- TLS/SSL configuration
- LDAP/AD integration support
- Cost management and monitoring
- Multi-node cluster orchestration
Next Implementation Steps
-
Backend API Development
- Go-based configuration API
- System detection endpoints
- Configuration validation
- Service management
-
Enhanced Components
- Complete all setup step components
- Real-time validation
- Progress tracking
- Error handling
-
Cluster Management
- Node discovery protocols
- Automated SSH setup
- Service distribution
- Health monitoring
-
Security Hardening
- Certificate management
- Secure key distribution
- Network encryption
- Access control
-
Testing & Validation
- Integration test suite
- Performance benchmarking
- Security auditing
- User acceptance testing
This installation system provides a seamless, professional-grade setup experience that rivals major infrastructure platforms while specifically optimizing for AI workloads and multi-GPU configurations.