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Once you have integrated our SDK to your application and started logging traces, user feedback and metadata, you can start analyzing cost, latency and performance metrics in the Monitoring dashboard.

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How it works

HoneyHive aggregates all your production data—traces, evaluations, and user feedback—in one place. This unified view lets you:
  • Detect Failures: Catch anomalies across your cost, usage, and quality metrics.
  • Set Up Proactive Monitoring: Create automated alerts to notify you when metrics exceed thresholds or drift from expected values.
  • Form Hypotheses: “I think response quality drops for after 5 agent actions.” “Our new RAG might be causing unintended hallucinations.”
  • Explore Your Data: Craft queries to validate or refute these hypotheses in real-time.
  • Iterate Continuously: Use insights to tweak prompts, swap models, or refine pipelines, then immediately see the impact.

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Getting Started

To analyze and monitor your production data in HoneyHive, refer to the following resources:

Creating Charts

How to build custom queries and save charts in your project dashboard

Creating Alerts

How to set up automated alerts to monitor your production llm traces