Elmah Io is an open-source error logging platform that helps teams track and manage application errors in a centralized way.
Enhance your error management with AI Agents that can proactively monitor, analyze, and respond to issues automatically.


Elmah Io provides comprehensive error tracking and monitoring for applications. Relevance AI transforms this data into intelligent actions through AI Agents that can predict, prevent, and respond to issues automatically.
Proactive Error Prediction
The agent anticipates potential errors before they impact users.
Automated Troubleshooting
The agent provides instant solutions to common issues, enhancing user experience.
Real-Time Performance Monitoring
The agent continuously tracks application health, ensuring immediate response to critical issues.
Relevance AI gives you access to Elmah Io's error logging and monitoring capabilities within your AI-powered 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:
- An Elmah Io account
- A Relevance AI account with access to your project settings
- Authorization (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The integration leverages OAuth authentication to securely connect with elmah.io's error logging services. Relevance AI manages API operations seamlessly in the background, handling request methods and authorization headers automatically while ensuring proper error tracking and logging functionality.
Built-in request validation and response handling ensure reliable error monitoring across your applications, with support for custom headers and flexible API endpoints.
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 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.