Run3 itinerary planning

Itinerary Planning Skill

Step 1: Parse Requirements

Extract the following from the user's request:

• Origin city (e.g., Minneapolis)
• Destination cities (e.g., three Ohio cities)
• Travel dates (start date → end date, total days)
• Number of travelers
• Budget (total, in USD)
• Constraints: no flights, pet-friendly, cuisine preferences, etc.

Step 2: Select Cities and Routing

• Query background/citySet_with_states.txt to confirm valid Ohio cities (e.g., Cleveland, Columbus, Cincinnati).
• Query googleDistanceMatrix/distance.csv to find driving distances and durations between Minneapolis and each Ohio city, and between Ohio cities.
• Choose a logical driving route that minimizes total driving time and fits within 7 days.
• Assign driving days (typically Day 1 and one or two mid-trip transition days).

Step 3: Assign Daily Structure

For each of the 7 days, assign:

• current_city: use "from A to B" format on driving days
• transportation: "Self-driving: from A to B" on driving days; "-" on stay days
• breakfast, lunch, dinner: select from restaurants/clean_restaurant_2022.csv filtered by city and preferred cuisines
• attraction: Always assign at least one attraction per day, including Day 1 and all other travel/driving days. On driving days, include a stop en route or an attraction at the destination city upon arrival. Never leave attraction as "-" or empty.
• accommodation: select from accommodations/clean_accommodations_2022.csv filtered by city and pet-friendly flag; use "-" only on the final departure day if the traveler returns home

Day 1 Special Rule

Day 1 is a driving day from the origin to the first destination city. It must still contain at least one attraction — either a notable stop along the driving route, or an attraction visited upon arriving at the destination city. Do not leave Day 1 attraction empty.

Step 4: Budget Tracking

Estimate costs across all 7 days:

• Transportation: use distance × per-mile cost estimate (~$0.18/mile for self-driving)
• Accommodation: nightly rate × nights from the accommodations dataset
• Meals: average meal cost × number of meals × 2 travelers
• Attractions: entry fees where applicable
• Confirm total ≤ stated budget (e.g., $5,100)

Step 5: Pet-Friendly Filter

• All accommodations must be flagged as pet-friendly in the dataset.
• Do not select any hotel/motel without confirmed pet-friendly status.

Step 6: Output

Produce a valid JSON object matching the required output schema (see task Output Format).