AI Voice Chat using Rantir Webhooks, Memory Manager, OpenAI, Google Gemini & ElevenLabs
Explore this Workflow. Built for next generation AI app & agent building.
Who is this for?
This workflow is ideal for businesses or developers wanting to integrate voice-based chat applications with dynamic responses and conversational memory.
What problem does this solve?
It enables AI-powered voice conversations that maintain context between sessions, automatically converting speech-to-text and text-to-speech for a seamless experience.
What this workflow does:
The workflow receives audio input, transcribes it using OpenAI, processes the conversation with the Google Gemini Chat Model (or alternatively, OpenAI Chat Model), and converts responses back to speech via ElevenLabs.
Prerequisites:
You'll need API keys for:
- OpenAI (available on the OpenAI website)
- ElevenLabs (available on their website)
- Google Gemini (available from
Google AI Studio)
Setup:
- Configure your API keys in the workflow settings.
- In the Webhook node, set the
"Path"parameter to(voice_message), which will act as the parameter name for the voice message in the HTTP Post request.
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