| name | run2_itinerary_optimization |
| description | Optimized itinerary building with cuisine distribution, cost tracking, and multi-city routing for pet-friendly travel. |
Optimized Multi-City Itinerary Planning
Overview
This skill addresses:
- Balanced cuisine distribution across 7 days
- Cost tracking and budget adherence
- Optimal city sequencing and travel timing
- Pet-friendly accommodation prioritization
- Realistic meal and attraction planning
Route Optimization for 3 Ohio Cities
Recommended Route
Minneapolis → Cleveland → Columbus → Cincinnati → Minneapolis
Rationale:
- Cleveland is north, good entry point
- Columbus is central, on route to Cincinnati
- Cincinnati is southwest, good final city before returning
- Minimizes backtracking
Day Allocation
- Day 1: Travel Minneapolis → Cleveland (arrival dinner)
- Days 2-3: Cleveland (full exploration)
- Day 4: Travel Cleveland → Columbus (arrival dinner)
- Day 5: Columbus (full exploration)
- Day 6: Travel Columbus → Cincinnati (arrival dinner)
- Day 7: Cincinnati & return to Minneapolis (depart dinner/lunch only)
Cuisine Distribution Strategy
Assignment Pattern
Across 7 days, ensure all 4 cuisines appear:
- American: 2-3 occurrences (breakfast Day 1, lunch Day 5, dinner Day 7)
- Italian: 2 occurrences (dinner Days 2, 6)
- Chinese: 2 occurrences (lunch Days 3, 7)
- Mediterranean: 1 occurrence (lunch Day 4)
Implementation
cuisine_schedule = {
1: {"breakfast": "American", "lunch": "American", "dinner": "Chinese"},
2: {"breakfast": "Italian", "lunch": "Mediterranean", "dinner": "Italian"},
3: {"breakfast": "Chinese", "lunch": "American", "dinner": "American"},
4: {"breakfast": "Mediterranean", "lunch": "Mediterranean", "dinner": "Italian"},
5: {"breakfast": "American", "lunch": "Italian", "dinner": "Chinese"},
6: {"breakfast": "Italian", "lunch": "Chinese", "dinner": "Italian"},
7: {"breakfast": "American", "lunch": "Chinese", "dinner": "-"}
}
Cost Tracking
Budget Breakdown ($5,100 for 2 people, 7 days)
- Accommodations: 6 nights × $120-180/night = $720-1,080
- Meals: 7 days × $80-120/day = $560-840
- Attractions: $200-300 total (entry fees)
- Gas/Transportation: $150-200 (est. 1,000 miles round trip)
- Buffer: $200-500
Daily Budgets
daily_budget = {
"accommodation_per_night": 150,
"meals_per_day": 100,
"attractions_per_day": 30-50,
"transport_per_day": 20-30
}
Meal Planning Constraints
-
No Restaurants Repeated Across Days
- Even if good, pick different one next time
- Keep cuisine diversity high
-
Format Rule
- Include restaurant name + cuisine type + city
- Example: "Italian at Via Cento, Cleveland"
- Never: Just restaurant name or just cuisine name
-
Travel Days
- Breakfast: lighter meal in departure city
- Lunch: en route or arrival city
- Dinner: arrival city (establish evening routine)
Attraction Selection
Strategy
- 2-3 attractions per day minimum
- Mix types: museums, parks, historic sites, food markets
- Prioritize based on:
- Availability in city
- Pet-friendly (where applicable - parks over indoor museums)
- Rating/popularity
- Distance from accommodation
Format
- List attractions separated by semicolon
- Must end with semicolon: "Attraction1;Attraction2;"
- Never end without semicolon or without enough attractions
Accommodation Selection Priority
- Pet-friendly verification (explicitly no "No pets")
- Price within budget ($100-200/night)
- Rating > 4.0
- Room type: Entire home/apt > Private room > Shared room
- Minimum nights requirement = 1
Naming Convention
- Include: "Pet-friendly" + accommodation type + city name
- Example: "Pet-friendly Studio Apartment, Cleveland"
- Avoid: Excessive special characters, Unicode issues
Travel Day Optimization
def plan_travel_day(origin_city, dest_city):
"""Structure for travel days"""
return {
"current_city": f"from {origin_city} to {dest_city}",
"transportation": f"Self-driving: from {origin_city} to {dest_city}",
"breakfast": "meal in origin city",
"lunch": "meal en route or early arrival",
"dinner": "meal in destination city",
"attraction": "light attractions in destination",
"accommodation": "in destination city"
}
Quality Assurance Checklist
Before finalizing each day:
