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Observability for Optimal Performance

Monitor in real time your model performance, user behavior, and system health. Act on insights to quickly resolve issues before they impact your business.

We leverage Humanloop's observability features not just for engineering troubleshooting but also to optimize pricing strategies. This dual use drives significant ROI by aligning our technical performance with our business goals.
Daniele Alfarone

Daniele Alfarone

Sr. Director of Engineering at Dixa

Intelligent Performance Monitoring

Gain visibility on how your model is performing against live data, allowing you to quickly adapt before impacting your customers. Monitor for many use cases from quantitative like latency issues to qualitative ones like tone of voice.

Charts of different use cases

Safeguard Against Hallucination with Built-in Guardrails

Minimize business risks by running guardrails on model outputs before showing it to a user for a safer experience. Simply define, set a threshold, and specify an action to protect against bad responses for more reliable outputs.

Warning / stopping a bad response
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Be alerted before issues escalate

Receive instant alerts of key events or potential issues to maintain optimal performance of your AI system before they impact your business. Set alerts to trigger when your predefined thresholds are met, from resource utilization to data quality issues.

Integrate real-time alerts into your preferred channels via webhooks so your team never misses a notification.

Calm alert notification / threshold set

Trace through complex issues quickly

With our integrated tracing you can deep dive into issues, directly fix them in the editor, and instantly see improvements.

Easily trace through your RAG pipelines and agents by visualizing inputs, outputs, and metadata for each step. Streamline your debugging no matter how complex your use case is.

Trace of RAG pipeline
Humanloop has been great for monitoring how users are invoking Cursor. This is useful for tailoring the product in a direction that best supports common use-cases.
Aman Sanger

Aman Sanger

Cursor

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