Commit Graph

2 Commits

Author SHA1 Message Date
4549241b78 docs: flow runtime design spec — config-driven WhatsApp conversation engine
Groups + Blocks model adapted from Typebot. Execution loop pauses at
InputBlocks, resumes on next message. Tool registry bridges existing
tools. Session state in Redis with 24h TTL.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-20 18:18:17 +05:30
2c947517af feat: WhatsApp AI assistant — provider-agnostic messaging with Gupshup
Provider-agnostic WhatsApp integration for AI-driven appointment booking:

- MessagingProvider interface (sendText, sendButtons, sendList, parseInbound)
- GupshupProvider implementation (Gupshup WhatsApp API)
- MessagingService — AI orchestration with tools (department/doctor/slot
  lists via interactive WhatsApp messages, appointment booking, caller
  resolution + context injection)
- Redis conversation history (24h TTL, matches WhatsApp session window)
- Webhook controller at POST /api/messaging/webhook

Swappable to Ozonetel or Meta Cloud API by implementing MessagingProvider
and switching MESSAGING_PROVIDER env var.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-20 14:45:26 +05:30