fix(chatbot): accumulate dietary restrictions + real-time weather

feat(chatbot): lightweight dialog-state for follow-up replies

fix(chatbot): guard response templates against empty/unfilled slots

fix(chatbot): remove Google Maps button, map click opens GraphHopper; conversational trip intro text

fix(hotel,chatbot): add WiFi to hotel data + fix chatbot map waypoints

fix(chatbot): add missing use_mmr param to DestinationRecommender.recommend

fix: train_test_split guard + asyncio background task leak

fix: resolve remaining HIGH/MEDIUM issues from code review

security: fix 6 critical vulnerabilities across chatbot and backend

feat: add pagination to HotelListPage, fix i18n in hotel cards, strengthen chatbot guardrails

feat(audit): full project audit — ESLint, tests, i18n, transactions, docs

feat(llm): switch from SeaLLM to Qwen2.5-7B-Instruct for LLM space

feat(chatbot): thread user_memory through LLM pipeline — context builder, inference, openai generator

fix(chatbot): use utf-8-sig encoding to handle UTF-8 BOM in JSON files

feat: real-data dataset enrichment + nearby_attractions + travel_tips intents

feat: MapCard zoom controls + multi-marker, nav icon fix, destination_info intent + DestinationInfoCard component

feat(ML): add show_map intent + context-aware map routing

Wave 3: expand NER fixture 85->102, time_preference F1 0.40->0.98, people/duration fixes

Wave 2: compare_destinations data + NER fixes + evaluation update

feat(chatbot): Phase 4 Wave 1 - NER fixes + Intent TF-IDF upgrade + OOD rejector

feat(chatbot): add chain-of-thought logic for personalize_recommend intent

Round 15: Dark mode page backgrounds + Chatbot fixes (NER/weather/events/templates/currency)

Round update: fix password double-encoding, chatbot missing_location intent, i18n keys for chatbot (ja/en/vi)

Round 12: Quality improvements + Chatbot enhancements

fix: chatbot direct ML service call for guest users, fix routes syntax, add RUN_GUIDE

feat(chatbot): expand KB to 9474 destinations & upgrade all components (v4.0.0)

Revert "feat: upgrade LLM layer v3.2 - multi-provider, caching, conversation memory, safety"

feat: upgrade LLM layer v3.2 - multi-provider, caching, conversation memory, safety

fix: dataset cleanup, 12 bug fixes, KB expansion (v3.1.0)

fix(chatbot): resolve 7 critical issues - KB expansion, pipeline fixes, dynamic responses

feat: integrate chatbot ML service with backend and frontend