Aether CLI

# Install via npm (recommended)
npm install -g @augment/aether-cli

# Install via pip
pip install augment-aether-cli

# Install via Homebrew (macOS)
brew install augment-ai/tap/aether-cli

# Install from source
git clone https://github.com/augment-ai/aether-cli
cd aether-cli
npm install && npm run build && npm link

# Verify installation
aether --version

# Set up Aether CLI with your API key
aether setup --api-key your_api_key_here

# Configure AI preferences and learning mode
aether config --learning-mode adaptive --context-awareness high

# Initialize shell integration for smart completion
aether shell-init --shell bash  # or zsh, fish, powershell

# Enable natural language processing
aether enable --natural-language --smart-suggestions --predictive-assistance

# Test the setup
aether "show me system information"

# Verify AI integration
aether health-check --test-ai --validate-context

# Use natural language for complex operations
aether "find all large files over 100MB in my home directory"

# Deploy applications with intelligent assistance
aether "deploy my node app to production safely"

# System administration with AI guidance
aether "check system health and suggest optimizations"

# Git operations with smart context
aether "commit my changes with a meaningful message"

# Enable intelligent command suggestions
aether enable suggestions --context-aware --learning-enabled

# Set up automated workflows
aether workflow create --name "daily-backup" --trigger "schedule:daily"

# Configure predictive assistance
aether config --predictive-mode enabled --error-prevention high

# Enable smart command completion
aether completion install --intelligent --context-sensitive

# Train AI on your command patterns
aether learn --analyze-history --personalize-suggestions

# Set up custom aliases and shortcuts
aether alias create --name "deploy-prod" --command "deploy to production with checks"

# Configure context preferences
aether context --prefer-verbose --include-explanations --safety-first

# Enable proactive assistance
aether assistant --proactive-suggestions --error-prediction --optimization-hints

version: "1.0"
user_profile:
  name: "developer"
  experience_level: "intermediate"
  preferred_shell: "zsh"
  working_directory: "/home/user/projects"

ai_settings:
  natural_language:
    enabled: true
    confidence_threshold: 0.8
    context_window: 50
    learning_mode: "adaptive"
  smart_completion:
    enabled: true
    prediction_depth: 3
    context_aware: true
    history_weight: 0.7
  suggestions:
    proactive: true
    error_prevention: true
    optimization_hints: true
    safety_checks: true

automation:
  workflows:
    enabled: true
    auto_execute_safe: true
    confirmation_required: ["delete", "deploy", "system"]
  command_chaining:
    enabled: true
    intelligent_sequencing: true
    error_handling: "graceful"
  predictive_assistance:
    enabled: true
    pattern_recognition: true
    context_learning: true

personalization:
  command_history:
    retention_days: 90
    pattern_analysis: true
    privacy_mode: false
  preferences:
    verbosity: "medium"
    explanations: true
    confirmations: "smart"
    color_scheme: "auto"
  learning:
    adaptive_suggestions: true
    pattern_recognition: true
    context_awareness: true
    feedback_integration: true

integrations:
  shell:
    type: "zsh"
    completion_enabled: true
    prompt_integration: true
    history_sync: true
  tools:
    git:
      enabled: true
      smart_commits: true
      branch_suggestions: true
    docker:
      enabled: true
      intelligent_builds: true
      optimization_suggestions: true
    kubernetes:
      enabled: true
      context_awareness: true
      safety_checks: true

security:
  api_key_storage: "encrypted"
  command_validation: true
  dangerous_command_protection: true
  audit_logging: true
  privacy_mode: false

display:
  colors:
    enabled: true
    scheme: "dark"
  formatting:
    tables: true
    progress_bars: true
    icons: true
  output:
    verbosity: "medium"
    explanations: true
    suggestions: true

# File and directory operations
aether "find all Python files modified in the last week"
aether "compress all log files older than 30 days"
aether "backup my project to cloud storage"

# Development workflow automation
aether "run tests and deploy if they pass"
aether "create a new feature branch for user authentication"
aether "review my code changes and suggest improvements"

# System administration
aether "check disk usage and clean up if needed"
aether "monitor system performance and alert if issues"
aether "update all packages and restart services safely"

# Create intelligent workflows
aether workflow create --name "ci-cd-pipeline" --trigger "git-push" --ai-optimized

# Enable predictive automation
aether automate --predictive-scheduling --context-aware --safety-first

# Configure smart command chaining
aether chain --intelligent-sequencing --error-recovery --optimization

# Set up proactive monitoring and suggestions
aether monitor --proactive-suggestions --performance-optimization --error-prevention

# Enable comprehensive context learning
aether context learn --environment --projects --preferences --patterns

# Analyze and improve command suggestions
aether analyze --command-patterns --success-rates --optimization-opportunities

# Configure personalized AI assistance
aether personalize --learning-style adaptive --suggestion-frequency medium --safety-level high

# Export and share learned patterns (privacy-safe)
aether export --patterns --anonymized --team-sharing

# Execute natural language command via API
curl -X POST https://api.augment.cfd/v1/aether/execute \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "command": "deploy my app to production safely",
    "context": {
      "working_directory": "/home/user/myapp",
      "environment": "production"
    }
  }'

const { AetherCLI } = require('@augment/aether-cli');

// Initialize Aether CLI
const aether = new AetherCLI({
  apiKey: process.env.AUGMENT_API_KEY,
  learningMode: 'adaptive',
  contextAware: true
});

// Execute natural language command
const result = await aether.execute(
  "find all large files and suggest cleanup",
  {
    context: process.cwd(),
    safeMode: true,
    interactive: false
  }
);

console.log('Command executed:', result.command);
console.log('Output:', result.output);

// Get AI suggestions
const suggestions = await aether.suggest({
  context: 'deployment',
  includeExplanations: true,
  safetyFirst: true
});

console.log('AI Suggestions:', suggestions);

// Learn from user feedback
await aether.learn({
  command: result.command,
  success: true,
  feedback: 'Very helpful suggestion',
  rating: 5
});