DeepTrip Travel Assistant

Problem It Solves

DeepTrip wraps common travel queries—hotels, flights, trains, attractions, and itineraries—into a reusable skill call. For engineering integration, the key output is not only the data.text answer but also data.产品跳转链接, which includes PC and mobile booking links for downstream UI or chat flows.

How It Works and Key Steps

The skill handles several frequent intents:

• Hotel search: retrieve hotels by location, price, star rating, and show ratings, price, and highlights.
• Transportation lookup: query flights, trains, or high-speed rail options with route, times, and fares.
• Attraction recommendations: provide descriptions, ticket prices, and suggested visit duration.
• Trip planning: compose a day-by-day itinerary that connects lodging, transport, and attractions.

In practice, the request should include the full context in the q parameter. The response returns code, msg, data.text, and a product-link object. When code is 0, the request succeeded; otherwise, use msg to guide the user, such as configuring an API key.

Boundaries and Notes

DeepTrip does not preserve multi-turn memory, so follow-up requests must be self-contained. If a user first asks for hotels near Chunxi Road and then requests “under 300 CNY and close to subway,” the second call should combine both constraints instead of relying on “these.” It is best used for travel information and booking redirects, not for local real-time map routing, visa processing, or enterprise travel approval systems. More explicit dates, budgets, origin cities, and preferences make the response more stable.