Shift focus from cat persona to genuine helpfulness. Keep light
cat flavor but prioritize thorough, detailed answers over the
assertive cat act.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Give the LangChain agent a save_user_memory tool so users can ask it to
remember preferences and personal facts. Memories are stored per-user in
a new user_memories table and injected into the system prompt on each
conversation turn.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Users can now receive a unique email address (ask+<token>@domain) and
interact with Simba by sending emails. Inbound emails hit a Mailgun
webhook, are authenticated via HMAC token lookup, processed through the
LangChain agent, and replied to via the Mailgun API.
- Extract shared SIMBA_SYSTEM_PROMPT to blueprints/conversation/prompts.py
- Add email_enabled and email_hmac_token fields to User model
- Create blueprints/email with webhook, signature validation, rate limiting
- Add admin endpoints to enable/disable email per user
- Update AdminPanel with Email column, toggle, and copy-address button
- Add Mailgun env vars to .env.example
- Include database migration for new fields
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Ryan Chen