Get the user's saved travel context to personalize recommendations.
Returns the user's loyalty programs and elite tiers, home airport, preferred airlines and
cabin, preferred hotel chains, typical trip patterns (business vs leisure, budgets, frequent
destinations), and any preferences they've stated or that have been learned from past
conversations. Call this once at the start of a travel or planning session and weigh it across
hotel, flight, and car recommendations — it is the single best source of who this traveler is.
For raw evidence from actual past reservations, routes, hotels, airlines, or flight seats, use
get_past_trips.
Requires a Gondola account (API key).
Returns:
Formatted travel context, or instructions to build one.