What problem does it solve?
It turns complex travel planning constraints into a structured, day-by-day itinerary with provider-backed recommendations and clear uncertainty when data quality degrades.
Core Features & Use Cases
- Constraint-driven trip planning: Accepts destination, date range, traveler count, budget, and optional must-visit/avoid/hotel/transport preferences to produce an actionable schedule.
- Provider routing with graceful fallback: Uses a capability-to-provider priority table (including browser-first Ctrip retrieval) and switches providers when results are missing, degraded, or blocked.
- Evidence and traceability: Preserves source URLs (and item-level detail URLs when available) so itinerary items can be cited, while explicitly labeling inferred/estimated values.
- Optional Amap route links: Generates per-day Amap driving/walking-style route previews when mapping is requested, respecting via-point and point-count limits.
- Budgeting and verification guardrails: Outputs budget breakdown, transportation/hotel/dining recommendations, and runs a consistency verification pass (time logic, commute load, activity fit).
Quick Start
Ask tasi-travel to create a 5-day itinerary for Beijing for 2 travelers within a total budget of 8000 CNY, including must-visit items for Tiananmen Square and the Summer Palace, and generate Amap route links for each day.