LiveSwitch is a real-time communication platform that enables high-quality video, audio, and data streaming applications.
Enhance your communication solutions with AI agents that can automate and personalize interactive experiences at scale.
LiveSwitch enables high-quality video and audio streaming at scale. Relevance AI transforms this into intelligent, automated communication experiences through AI agents that can manage and facilitate real-time interactions.
Real-Time Interaction
Agents can engage users instantly through live video and audio communication.
Enhanced User Experience
Deliver personalized interactions that boost user satisfaction and engagement.
Data-Driven Insights
Collect real-time feedback and analytics to refine user interactions and strategies.
Relevance AI gives you access to LiveSwitch's real-time communication capabilities within your AI agent workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A LiveSwitch account
- A Relevance AI account with access to your project settings
- Authorization credentials (connect securely via API keys—no sensitive data stored manually)
Security & Reliability
The integration leverages OAuth authentication to securely connect with LiveSwitch's API endpoints, managing authorized requests seamlessly. Relevance AI handles all HTTP methods and API operations automatically, while providing built-in validation for your real-time communication workflows.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the LiveSwitch + Relevance AI integration without writing code:
- Configure OAuth properly: Ensure correct LiveSwitch account authorization and permission settings.
- Use consistent API paths: Maintain organized endpoint structures for reliable data flow.
- Handle responses effectively: Monitor response bodies and status codes for successful API calls.
- Manage headers wisely: Keep authorization headers secure and use custom headers sparingly.
- Implement rate limiting: Space out API requests to prevent service disruptions and maintain performance.
