Mux is a video infrastructure platform that streamlines video processing and management. With Relevance AI, you can leverage advanced AI Agents to enhance video workflows, automate tasks, and gain deeper insights from your video content.
Mux provides a robust video infrastructure that simplifies asset management and playback. Relevance AI amplifies these capabilities by enabling intelligent AI Agents to automate and optimize video workflows.
Intelligent Video Orchestration
The AI agent seamlessly coordinates video processing workflows, optimizing encoding and delivery across global networks.
Dynamic Delivery Optimization
Smart routing and caching decisions maximize streaming performance while minimizing bandwidth costs and latency.
Predictive Performance Scaling
The agent anticipates viewing demand patterns and automatically adjusts resources to maintain smooth playback.
Relevance AI integrates seamlessly with Mux to enhance your video processing 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 Mux account
- A Relevance AI account with access to your project settings
- Authorization credentials (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
This integration enables seamless video processing and management capabilities through Mux's video infrastructure platform within the Relevance AI environment. With this integration, you can streamline video asset creation and management, automate video transcoding and delivery, and gain advanced playback control and tracking, all while supporting subtitles and closed captions.
To get started, ensure you have a Mux account with API access, a Relevance AI account, and the necessary OAuth credentials for Mux authentication, including your API Key and API Secret. Additionally, make sure your system meets the requirements of Node.js 12.x or higher, supports HTTPS for API callbacks, and has sufficient storage for video processing.
Once your accounts are set up, configure OAuth authentication and the base URL for Mux's API. You can then create video assets, add subtitles or captions, and retrieve asset information using straightforward API calls.
Common API operations include retrieving asset or livestream IDs, and troubleshooting common issues such as authentication errors, asset creation failures, and playback issues is made easier with clear guidelines. Best practices for asset management, performance optimization, and security are also provided to ensure your integration runs smoothly.
For further assistance, refer to the Mux documentation and API reference, or contact support at [email protected]. This guide covers the basic implementation of Mux video services through the Relevance AI integration, and for advanced features, please consult the official Mux documentation.
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.
To get the most out of the Mux + Relevance AI integration without writing code:
- Organize your video assets: Use descriptive names and tags for easy identification and management.
- Utilize automated workflows: Leverage Relevance AI's capabilities to automate video processing tasks like transcoding and delivery.
- Ensure proper authentication: Double-check your OAuth credentials and permissions to avoid authentication issues.
- Monitor asset status: Regularly check the processing status of your video assets to ensure they are ready for playback.
- Implement security best practices: Use signed URLs for sensitive content and rotate your API credentials periodically.
