Langfuse is a powerful tool for LLM observability, tracing, and feedback management, allowing you to enhance your AI workflows. With Relevance AI, you can leverage these insights to drive intelligent decision-making and improve your AI applications.
Langfuse provides deep insights into LLM interactions and performance. Relevance AI amplifies these capabilities by enabling intelligent AI Agents to monitor, evaluate, and optimize your applications effectively.
Performance Mastery
Real-time monitoring and analytics provide deep insights into agent behavior and effectiveness
Quality Assurance
Automated evaluation and scoring of responses ensures consistent high-quality outputs
Rapid Troubleshooting
Comprehensive logging and debugging tools enable swift issue identification and resolution
Relevance AI integrates seamlessly with Langfuse to enhance your AI workflows with advanced observability and feedback management.
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 Langfuse account
- A Relevance AI account with API access
- Authorization credentials from both platforms (API keys will be required for secure connection)
Security & Reliability
The Langfuse integration with Relevance AI utilizes secure OAuth authentication, ensuring that only authorized workflows can access your LLM data. Relevance AI manages API operations (such as POST for logging traces and adding feedback) seamlessly in the background, allowing you to focus on enhancing your AI applications without worrying about errors, formatting, or limits.
With built-in validation and structured feedback management, this integration guarantees that your workflows operate efficiently, even when dealing with varying data formats. You can easily monitor and improve your LLM applications while leveraging the powerful orchestration capabilities of Relevance AI.
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.
