feat: replace manual web scraping with an agentic tool-selection engine

refactor: replace daily usage increment with atomic reservation

refactor: replace standard logging with a centralized loguru configuration and interception handler

feat: implement LLM fallback for quiz generation and enhance OAuth error handling

feat: implement lazy chunk caching for topic-based materials to reduce quiz and summary generation time

refactor: replace agent-based web search with parallelized retrieval using Wikipedia and DuckDuckGo

refactor: decouple usage increment from rate limit checks, add session refresh error handling.

feat: increase quiz generation capacity with dedicated high-token LLM.

feat: add religious, political and NSFW topics in prohibited content criteria in quiz and summary generators

refactor: update system prompts safety guidelines

feat: introduce robust web-based prompt templates for quizzes and summaries.

refactor: update content limits for quiz and summary generation modules

refactor: changing to gemini model, modularize constants and schemas and update user daily generation limit

feat: enforce user ownership verification for material access across all API routes

fix: improve security, session handling, and UI responsiveness for topic management and document rendering

feat: implement profile caching and optimize database client initialization.

feat: configure LLM generation parameters and implement text truncation for summarization inputs

feat: enable AI-generated summaries for topic-based materials by integrating Wikipedia and Arxiv search providers.

refactor: add structured logging across summary and quiz generation modules

refactor: replace legacy login page with integrated Google OAuth landing page and dashboard redirect logic

feat: implement daily request rate limiting with per-user usage tracking and admin bypass

refactor: improve markdown parsing, update summary export formatting, and refine UI loading states for material summaries

feat: Adding Parallel Processing and enhance main dashboard, summary and chat styles

feat: implement async quiz generation, add quiz result persistence, and integrate Supabase authentication

feat: implement authentication system, add quiz history support, and update API endpoints for material and tutor interactions

feat: migrate UI to Next.js with extensive component library and integrate Hugging Face deployment workflow

refactor: restructure project into modular src architecture and implement database store layer