AI Voice Chat with Webhook, Memory, OpenAI, Gemini & ElevenLabs

This workflow enables seamless AI-powered voice conversations for businesses and developers. It starts by receiving audio input through a webhook, transcribes it to text using OpenAI's Whisper model, retrieves conversation history via Memory Manager for context, processes the query with Google Gemini (or OpenAI Chat Model) to generate intelligent responses, converts the response back to natural speech using ElevenLabs, and stores the updated chat history.

Key benefits include maintaining conversational memory across sessions, reducing development time for voice apps, and delivering dynamic, human-like interactions without manual coding. It's highly valuable for customer support, virtual assistants, or interactive demos, saving hours of integration work.

Use cases span e-commerce procurement bots for voice ordering, commerce support agents handling inquiries hands-free, or AI companions in apps. Prerequisites are simple: API keys for OpenAI, Gemini, and ElevenLabs. Setup involves configuring the webhook path for voice messages.