Save current BZZZ config-ui state before CHORUS branding update

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

issues/resource-allocation-component.md

@@ -0,0 +1,139 @@
+# Resource Allocation Component Implementation
+
+## Overview
+Implement a Resource Allocation component for the BZZZ setup wizard to allow users to configure CPU, memory, and storage allocation for different BZZZ services.
+
+## Current Status
+- **Step removed from setup wizard** (temporarily) - located between AI Integration and Service Deployment
+- **Placeholder component exists** at `install/config-ui/app/setup/components/ResourceAllocation.tsx`
+- **System detection available** - hardware information already captured in System Detection step
+
+## Requirements
+
+### 1. System Resource Display
+- [ ] Display detected system resources from SystemDetection step:
+  - CPU cores available
+  - Total memory (RAM) 
+  - Available storage space
+  - GPU information (if applicable)
+- [ ] Show current system utilization/usage
+
+### 2. Service Resource Configuration
+- [ ] Allow allocation for BZZZ services:
+  - **BZZZ API Server** (CPU cores, memory)
+  - **MCP Server** (CPU cores, memory) 
+  - **P2P Network** (bandwidth, connections)
+  - **Web UI** (minimal resources)
+  - **Storage Services** (disk space allocation)
+- [ ] Configurable resource limits and reservations
+- [ ] Docker container resource constraints integration
+
+### 3. Resource Validation
+- [ ] Ensure total allocations don't exceed available resources
+- [ ] Minimum resource requirements validation
+- [ ] Warning for resource over-allocation
+- [ ] Real-time calculation of remaining resources
+
+### 4. Performance Recommendations
+- [ ] Suggest optimal resource distributions based on:
+  - Detected hardware capabilities
+  - Intended cluster role (coordinator vs worker)
+  - Expected workload patterns
+- [ ] Preset configurations:
+  - **Development** (minimal resources)
+  - **Production** (balanced allocation)
+  - **High-Performance** (maximum allocation)
+
+### 5. Integration Points
+- [ ] Receive system info from System Detection step
+- [ ] Pass resource config to Service Deployment step
+- [ ] Generate Docker Compose resource constraints
+- [ ] Integration with cluster formation for multi-node awareness
+
+## Technical Implementation
+
+### Component Structure
+```typescript
+interface ResourceConfig {
+  cpu: {
+    bzzzApi: number      // CPU cores for API server
+    mcpServer: number    // CPU cores for MCP server
+    p2pNetwork: number   // CPU cores for P2P
+    reserved: number     // System reserved cores
+  }
+  memory: {
+    bzzzApi: number      // Memory MB for API server
+    mcpServer: number    // Memory MB for MCP server  
+    p2pNetwork: number   // Memory MB for P2P
+    webUI: number        // Memory MB for Web UI
+    system: number       // System reserved memory
+  }
+  storage: {
+    logs: number         // Log storage GB
+    data: number         // Data storage GB
+    temp: number         // Temporary files GB
+    available: number    // Remaining space
+  }
+}
+```
+
+### Validation Logic
+```typescript
+const validateResources = (config: ResourceConfig, systemInfo: SystemInfo) => {
+  const totalCpu = config.cpu.bzzzApi + config.cpu.mcpServer + config.cpu.p2pNetwork + config.cpu.reserved
+  const totalMemory = config.memory.bzzzApi + config.memory.mcpServer + config.memory.p2pNetwork + config.memory.webUI + config.memory.system
+  const totalStorage = config.storage.logs + config.storage.data + config.storage.temp
+  
+  return {
+    cpuValid: totalCpu <= systemInfo.cpu_cores,
+    memoryValid: totalMemory <= systemInfo.memory_mb,
+    storageValid: totalStorage <= systemInfo.storage.free_space_gb
+  }
+}
+```
+
+## User Experience
+
+### Visual Design
+- [ ] Resource allocation sliders/input fields
+- [ ] Real-time resource utilization charts
+- [ ] Color-coded validation (green/yellow/red)
+- [ ] Resource recommendation cards
+- [ ] "Auto-Configure" button for presets
+
+### Workflow Integration
+- [ ] Progressive disclosure (advanced options collapsed by default)
+- [ ] Validation feedback before proceeding to next step
+- [ ] Ability to return and modify allocations
+- [ ] Save/restore configurations
+
+## Dependencies
+- System Detection component (already implemented)
+- Service Deployment component integration
+- Docker Compose generation
+- Cluster Formation multi-node awareness
+
+## Acceptance Criteria
+- [ ] Users can allocate CPU, memory, and storage to BZZZ services
+- [ ] Resource constraints are validated against available hardware
+- [ ] Configuration is passed to subsequent setup steps
+- [ ] Docker container limits are properly configured
+- [ ] Performance recommendations are provided
+- [ ] Multi-node cluster resource awareness
+
+## Priority
+**Medium** - Important for production deployments but not blocking initial setup functionality
+
+## Related Issues
+- Service Deployment component integration
+- Docker Compose resource constraints
+- Multi-node cluster resource coordination
+- Performance monitoring and alerting
+
+---
+
+**Implementation Notes:**
+- Reintegrate into setup wizard between AI Integration and Service Deployment
+- Use existing SystemInfo from setup context
+- Generate Docker Compose resource configurations
+- Consider future multi-node resource coordination requirements