Handling Calls with WhatsApp Business API

Hi everyone,

I’ve set up complex RAG systems where the WhatsApp Business API responds in text, audio, or even with images and documents, and it works well. However, I’ve never worked on a system for handling calls to the Business API number. I’d like to build a call center for interacting with knowledge. This would obviously work best with custom GPT models, as RAG systems tend to have too much latency for real-time interaction.

Does anyone have resources or insights on how to connect calls to the GPT-4o Realtime model or potentially ElevenLabs’ latest real-time models (either option works)?

Thanks in advance!

  • n8n version: 1.69.2
  • Database (default: SQLite): QLite
  • n8n EXECUTIONS_PROCESS setting (default: own, main): own, main
  • Running n8n via (Docker, npm, n8n cloud, desktop app): self-hosted in google cloud
  • Operating system: Windows10

hey @Kiremit

Sorry this one got lost behind. I don’t have a good answer here, just out of curiosity have you been able to implement this?

Unfortunately not.

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