"""
Tech-savvy guest explores smart vending machine features and digital capabilities.

ROLES: user (technology enthusiast exploring smart vending innovations), assistant (tech coordinator demonstrating digital features)
CHANNELS: analysis, commentary, final. Channel must be included for every message.
TOOLS:
```json
[
  {"name":"get_smart_features","description":"Retrieve smart technology features and digital capabilities of vending machines.","parameters":{"type":"object","additionalProperties":false,"properties":{"hotel_id":{"type":"string"},"feature_type":{"type":"string"}},"required":["hotel_id","feature_type"]},"strict":true},
  {"name":"demo_interactive_feature","description":"Demonstrate interactive smart vending features.","parameters":{"type":"object","additionalProperties":false,"properties":{"hotel_id":{"type":"string"},"feature":{"type":"string"}},"required":["hotel_id","feature"]},"strict":true}
]
```
"""

system:
Smart Hub Resort: Tech Valley Inn (hotel_id: tech_valley_ny)
Address: 555 Innovation Drive, Albany, NY 12207 | Timezone: America/New_York
Intelligent Vending Network:
  AI recommendations: Personalized suggestions based on preferences, dietary needs, purchase history
  Voice control: Hands-free operation, voice-guided selections, accessibility support
  Mobile integration: App ordering, digital wallets, contactless payments, order-ahead features
  Health tracking: Calorie counters, nutritional goals, wellness integration, smart scale connectivity
  Inventory intelligence: Real-time stock updates, demand forecasting, automatic restocking
  Sustainability dashboard: Carbon impact tracking, waste reduction metrics, eco-friendly choices
  Social features: Community boards, user reviews, shared favorites, collaborative ordering
  Gamification elements: Reward points, achievement badges, loyalty programs, fun challenges
  AR preview: Augmented reality product visualization, ingredient information, preparation demos
  IoT connectivity: Smart room integration, hotel system sync, personal device connectivity
  Data analytics: Usage patterns, customer insights, optimization recommendations
  Emergency response: Automated alerts, first aid information, emergency contact integration
  Customization options: Personal profiles, preference learning, allergy alerts, custom blends

user:
I'm fascinated by smart technology. What intelligent features do your vending machines have?

assistant channel=analysis:
Tech-savvy guest interested in smart features. I should demonstrate available intelligent capabilities.

assistant channel=commentary to=tool.get_smart_features:
{"hotel_id":"tech_valley_ny","feature_type":"ai_recommendations"}

assistant channel=final:
Our intelligent vending network features AI recommendations, voice control, mobile integration, and health tracking. The machines learn your preferences and provide personalized suggestions based on your needs.

user:
Can you demonstrate the voice control feature?

assistant channel=analysis:
User wants a demonstration. I should show the interactive voice feature.

assistant channel=commentary to=tool.demo_interactive_feature:
{"hotel_id":"tech_valley_ny","feature":"voice_control"}

tool.demo_interactive_feature channel=commentary to=assistant:
{"feature":"voice_control","capabilities":"hands_free_operation,voice_guided_selections,accessibility_support","demo_available":true}

assistant channel=final:
Absolutely! Our voice control allows hands-free operation with voice-guided selections and full accessibility support. You can simply say "I want a healthy snack" and the system will guide you through options.

user:
Do you have mobile app integration?

assistant channel=analysis:
User asking about mobile features, which are detailed in system context. I can answer this directly.

assistant channel=final:
Yes! Our mobile integration includes app ordering, digital wallets, contactless payments, and order-ahead features. You can browse, pay, and track your selections from your phone.

user:
What kind of health tracking does it do?

assistant channel=analysis:
User asking about health features, which are mentioned in system context. I can answer this directly.

assistant channel=final:
The system provides calorie counters, nutritional goals tracking, and smart scale connectivity. It can integrate with wellness apps to help you maintain your health objectives.

user:
Do you have gamification elements?

assistant channel=analysis:
User asking about gamification, which is detailed in system context. I can answer this directly.

assistant channel=final:
Yes! We offer reward points, achievement badges, loyalty programs, and fun challenges. These gamification elements make healthy choices engaging and rewarding.

user:
The tech-forward approach is impressive.

assistant channel=analysis:
User making positive comment about technology. This is appropriate small talk.

assistant channel=final:
Thank you! Our location in New York's Tech Valley allows us to integrate cutting-edge innovations that enhance the guest experience.

user:
What AR features do you have?

assistant channel=analysis:
User asking about AR features, which are mentioned in system context. I can answer this directly.

assistant channel=final:
Our AR preview system offers augmented reality product visualization, ingredient information, and preparation demos. You can see nutritional details and even watch how items are made.

user:
Do you have IoT connectivity?

assistant channel=analysis:
User asking about IoT features, which are detailed in system context. I can answer this directly.

assistant channel=final:
Yes! Our IoT connectivity includes smart room integration, hotel system sync, and personal device connectivity. Your vending preferences can follow you throughout the hotel.

user:
Can you tell me about the specific AI algorithms used for recommendations?

assistant channel=analysis:
User asking for specific AI algorithm details, which are not enumerated in system context beyond general capabilities. This requires the attention flag.

assistant channel=final:
[ATTENTION] Thank you for your interest in our AI systems. Reviewing recommendation algorithms.
