# BZZZ Configuration Web Interface Requirements

## Overview
A comprehensive web-based configuration interface that guides users through setting up their BZZZ cluster after the initial installation.

## User Information Requirements

### 1. Cluster Infrastructure Configuration

#### Network Settings
- **Subnet IP Range** (CIDR notation)
  - Auto-detected from system
  - User can override (e.g., `192.168.1.0/24`)
  - Validation for valid CIDR format
  - Conflict detection with existing networks

- **Node Discovery Method**
  - Option 1: Automatic discovery via broadcast
  - Option 2: Manual IP address list
  - Option 3: DNS-based discovery
  - Integration with existing network infrastructure

- **Network Interface Selection**
  - Dropdown of available interfaces
  - Auto-select primary interface
  - Show interface details (IP, status, speed)
  - Validation for interface accessibility

- **Port Configuration**
  - BZZZ Go Service Port (default: 8080)
  - MCP Server Port (default: 3000)
  - Web UI Port (default: 8080)
  - WebSocket Port (default: 8081)
  - Reserved port range exclusions
  - Port conflict detection

#### Firewall & Security
- **Firewall Configuration**
  - Auto-configure firewall rules (ufw/iptables)
  - Manual firewall setup instructions
  - Port testing and validation
  - Network connectivity verification

### 2. Authentication & Security Setup

#### SSH Key Management
- **SSH Key Options**
  - Generate new SSH key pair
  - Upload existing public key
  - Use existing system SSH keys
  - Key distribution to cluster nodes

- **SSH Access Configuration**
  - SSH username for cluster access
  - Sudo privileges configuration
  - SSH port (default: 22)
  - Key-based vs password authentication

#### Security Settings
- **TLS/SSL Configuration**
  - Generate self-signed certificates
  - Upload existing certificates
  - Let's Encrypt integration
  - Certificate distribution

- **Authentication Methods**
  - Token-based authentication
  - OAuth2 integration
  - LDAP/Active Directory
  - Local user management

### 3. AI Model Configuration

#### OpenAI Integration
- **API Key Management**
  - Secure API key input
  - Key validation and testing
  - Organization and project settings
  - Usage monitoring setup

- **Model Preferences**
  - Default model selection (GPT-5)
  - Model-to-task mapping
  - Custom model parameters
  - Fallback model configuration

#### Local AI Models (Ollama/Parallama)
- **Ollama/Parallama Installation**
  - Option to install standard Ollama
  - Option to install Parallama (multi-GPU fork)
  - Auto-detect existing Ollama installations
  - Upgrade/migrate from Ollama to Parallama

- **Node Discovery & Configuration**
  - Auto-discover Ollama/Parallama instances
  - Manual endpoint configuration
  - Model availability checking
  - Load balancing preferences
  - GPU assignment for Parallama

- **Multi-GPU Configuration (Parallama)**
  - GPU topology detection
  - Model sharding across GPUs
  - Memory allocation per GPU
  - Performance optimization settings
  - GPU failure handling

- **Model Distribution Strategy**
  - Which models on which nodes
  - GPU-specific model placement
  - Automatic model pulling
  - Storage requirements
  - Model update policies

### 4. Cost Management

#### Spending Limits
- **Daily Limits** (USD)
  - Per-user limits
  - Per-project limits
  - Global daily limit
  - Warning thresholds

- **Monthly Limits** (USD)
  - Budget allocation
  - Automatic budget reset
  - Cost tracking granularity
  - Billing integration

#### Cost Optimization
- **Usage Monitoring**
  - Real-time cost tracking
  - Historical usage reports
  - Cost per model/task type
  - Optimization recommendations

### 5. Hardware & Resource Detection

#### System Resources
- **CPU Configuration**
  - Core count and allocation
  - CPU affinity settings
  - Performance optimization
  - Load balancing

- **Memory Management**
  - Available RAM detection
  - Memory allocation per service
  - Swap configuration
  - Memory monitoring

- **Storage Configuration**
  - Available disk space
  - Storage paths for data/logs
  - Backup storage locations
  - Storage monitoring

#### GPU Resources
- **GPU Detection**
  - NVIDIA CUDA support
  - AMD ROCm support
  - GPU memory allocation
  - Multi-GPU configuration

- **AI Workload Optimization**
  - GPU scheduling
  - Model-to-GPU assignment
  - Power management
  - Temperature monitoring

### 6. Service Configuration

#### Container Management
- **Docker Configuration**
  - Container registry selection
  - Image pull policies
  - Resource limits per container
  - Container orchestration (Docker Swarm/K8s)

- **Registry Settings**
  - Public registry (Docker Hub)
  - Private registry setup
  - Authentication for registries
  - Image versioning strategy

#### Update Management
- **Release Channels**
  - Stable releases
  - Beta releases
  - Development builds
  - Custom release sources

- **Auto-Update Settings**
  - Automatic updates enabled/disabled
  - Update scheduling
  - Rollback capabilities
  - Update notifications

### 7. Monitoring & Observability

#### Logging Configuration
- **Log Levels**
  - Debug, Info, Warn, Error
  - Per-component log levels
  - Log rotation settings
  - Centralized logging

- **Log Destinations**
  - Local file logging
  - Syslog integration
  - External log collectors
  - Log retention policies

#### Metrics & Monitoring
- **Metrics Collection**
  - Prometheus integration
  - Custom metrics
  - Performance monitoring
  - Health checks

- **Alerting**
  - Alert rules configuration
  - Notification channels
  - Escalation policies
  - Alert suppression

### 8. Cluster Topology

#### Node Roles
- **Coordinator Nodes**
  - Primary coordinator selection
  - Coordinator failover
  - Load balancing
  - State synchronization

- **Worker Nodes**
  - Worker node capabilities
  - Task scheduling preferences
  - Resource allocation
  - Worker health monitoring

- **Storage Nodes**
  - Distributed storage setup
  - Replication factors
  - Data consistency
  - Backup strategies

#### High Availability
- **Failover Configuration**
  - Automatic failover
  - Manual failover procedures
  - Split-brain prevention
  - Recovery strategies

- **Load Balancing**
  - Load balancing algorithms
  - Health check configuration
  - Traffic distribution
  - Performance optimization

## Configuration Flow

### Step 1: System Detection
- Detect hardware resources
- Identify network interfaces
- Check system dependencies
- Validate installation

### Step 2: Network Configuration
- Configure network settings
- Set up firewall rules
- Test connectivity
- Validate port accessibility

### Step 3: Security Setup
- Configure authentication
- Set up SSH access
- Generate/install certificates
- Test security settings

### Step 4: AI Integration
- Configure OpenAI API
- Set up Ollama endpoints
- Configure model preferences
- Test AI connectivity

### Step 5: Resource Allocation
- Allocate CPU/memory
- Configure storage paths
- Set up GPU resources
- Configure monitoring

### Step 6: Service Deployment
- Deploy BZZZ services
- Configure service parameters
- Start services
- Validate service health

### Step 7: Cluster Formation
- Discover other nodes
- Join/create cluster
- Configure replication
- Test cluster connectivity

### Step 8: Testing & Validation
- Run connectivity tests
- Test AI model access
- Validate security settings
- Performance benchmarking

## Technical Implementation

### Frontend Framework
- **React/Next.js** for modern UI
- **Material-UI** or **Tailwind CSS** for components
- **Real-time updates** via WebSocket
- **Progressive Web App** capabilities

### Backend API
- **Go REST API** integrated with BZZZ service
- **Configuration validation** and testing
- **Real-time status updates**
- **Secure configuration storage**

### Configuration Persistence
- **YAML configuration files**
- **Environment variable generation**
- **Docker Compose generation**
- **Systemd service configuration**

### Validation & Testing
- **Network connectivity testing**
- **Service health validation**
- **Configuration syntax checking**
- **Resource availability verification**

This comprehensive configuration system ensures users can easily set up and manage their BZZZ clusters regardless of their technical expertise level.