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The Monitoring dashboard gives you a unified view of your production data so you can track performance, detect issues, and continuously improve your AI application.
HoneyHive monitoring dashboard with charts for session duration, LLM call duration, token usage, and custom evaluator metrics

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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

Creating Charts

Build custom queries and save charts to your project dashboard

Online Evaluations

Configure automated evaluations to run on your production traces

Creating Alerts

Set up automated alerts to catch issues before they impact users