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# UI Feedback Demonstration

This document demonstrates the new real-time feedback mechanism for package installation and command execution in the E2B sandbox UI.

## What's New

### 1. Real-time Package Installation Feedback

When packages are detected and installed from XML tags, users now see:

- πŸ” **Initial Analysis**: "Analyzing code and detecting dependencies..."
- πŸ“¦ **Package Detection**: "Step 1: Installing X packages..."
- **NPM Output**: Real-time npm install output with proper formatting
  - Blue text for commands (`$ npm install react-router-dom`)
  - Gray text for standard output
  - Red text for errors
- βœ… **Success Messages**: Clear confirmation when packages are installed

### 2. File Creation Progress

- πŸ“ **File Creation Start**: "Creating X files..."
- **Individual File Updates**: Progress for each file being created/updated
- βœ… **Completion Status**: Visual confirmation for each file

### 3. Command Execution Feedback

When `<command>` tags are executed:

- ⚑ **Command Start**: Shows the command being executed
- **Real-time Output**: Displays stdout/stderr as it happens
- βœ…/❌ **Exit Status**: Clear success/failure indicators

## Example Flow

Here's what users see when applying code with packages and commands:

```
πŸ” Analyzing code and detecting dependencies...
πŸ“¦ Starting code application...
Step 1: Installing 3 packages...
$ npm install react-router-dom
> added 3 packages in 2.3s
$ npm install axios
> added 1 package in 1.1s
$ npm install @heroicons/react
> added 1 package in 0.9s
βœ… Successfully installed: react-router-dom, axios, @heroicons/react

Step 2: Creating 5 files...
πŸ“ Creating 5 files...

Step 3: Executing 1 commands...
⚑ executing command: npm run dev
> app@0.0.0 dev
> vite
> VITE ready in 523ms
βœ… Command completed successfully
```

## UI Components

### Chat Message Types

The UI now supports these message types with distinct styling:

1. **System Messages** (`bg-[#36322F] text-white text-sm`)
   - General information and status updates
   
2. **Command Messages** (`bg-gray-100 text-gray-600 font-mono text-sm`)
   - Input commands: Blue prefix (`$`)
   - Output: Gray text
   - Errors: Red text
   - Success: Green text

3. **User Messages** (`bg-[#36322F] text-white`)
   - User input and queries

4. **AI Messages** (`bg-secondary text-foreground`)
   - AI responses

### Visual Indicators

- πŸ” Analyzing/Detection phase
- πŸ“¦ Package operations
- πŸ“ File operations
- ⚑ Command execution
- βœ… Success states
- ❌ Error states
- ⚠️ Warnings

## Implementation Details

### Streaming Response Format

The new `/api/apply-ai-code-stream` endpoint sends Server-Sent Events:

```typescript
data: {"type": "start", "message": "Starting code application...", "totalSteps": 3}
data: {"type": "step", "step": 1, "message": "Installing 3 packages..."}
data: {"type": "package-progress", "type": "output", "message": "added 3 packages"}
data: {"type": "file-progress", "current": 1, "total": 5, "fileName": "App.jsx"}
data: {"type": "command-output", "command": "npm run dev", "output": "VITE ready", "stream": "stdout"}
data: {"type": "complete", "results": {...}, "message": "Success"}
```

### Error Handling

Errors are displayed inline with context:

- Package installation failures
- File creation errors
- Command execution failures

Each error includes the specific operation that failed and helpful error messages.

## Benefits

1. **Transparency**: Users see exactly what's happening in real-time
2. **Debugging**: Easy to identify where issues occur
3. **Progress Tracking**: Clear indication of progress through multi-step operations
4. **Professional Feel**: Terminal-like output for technical operations
5. **Accessibility**: Color-coded output for quick scanning

## Usage

The feedback system automatically activates when:

1. Code with `<package>` or `<packages>` tags is applied
2. Files are created or updated
3. Commands from `<command>` tags are executed
4. Packages are auto-detected from import statements

No additional configuration is required - the UI automatically provides rich feedback for all operations.