Tutor questions require owned selected attempts; similarity context filters eligibility before ranking. Uploads move to a permission-aware boundary with reference ACLs, canonical legacy aliases, pre-mutation attachment checks and card-aware moderator rules. Nginx stops caching media and supplies native byte ranges. Verified 37 deployed-image backend tests, 69 frontend tests/build, real pgvector/Nginx/browser checks, and two independent reviews.
Recovery snapshot of the existing worktree before the Orthobullets-inspired revamp. Includes explanation images, classification snapshots, quiz visibility/resume fixes, quiz codes, TTS options and bot formatting. Secret heuristic and Python syntax checks passed; not a release or full behavioral validation.
- teach.py, questions.py: replace f-string SQL with parameterized CAST(:vec AS vector) queries
- auth.py: add reusable check_rate_limit() Redis helper
- teach.py: rate limit /chat to 30 req/10min per user
- tts.py: rate limit /speak to 60 req/hr per user
- teach.py: stronger system prompt — no clarifying questions, use markdown, answer directly
- TeachChat.jsx: render assistant messages with ReactMarkdown (already in package.json)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- teach.py: use _proxy_model() + pass api_key/api_base from settings (fixes LiteLLM provider error for openrouter/bedrock models)
- teach.py: accept model_id in ChatRequest so frontend can select model
- main.py: remove titan-embed-v2 from general seed, auto-delete legacy entry on startup
- main.py: kill stale idle-in-transaction DB connections at startup to prevent DDL lock hangs
- main.py: set lock_timeout=10s on DDL connection as fast-fail safety net
- TeachChat.jsx: fetch /teach/models, show selector dropdown in header when >1 model available
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
