Debug LLM applications with confidence
Generative AI is powerful but unpredictable. With Honeycomb, you get granular insight into how your LLMs behave in production, troubleshoot failures faster, and continuously improve model performance—all in real time with real data.
AI is a black box in production
Building with generative AI is an art. A single prompt tweak can lead to wildly different responses, making debugging difficult.
Testing Limitations
Traditional testing methods are ineffective for AI-driven systems, requiring new approaches to evaluate performance.
Unpredictable Failures
Small changes in prompts or models can introduce unexpected issues and unpredictable failures.
Debugging Challenges
Tracing LLM execution is difficult, making it challenging to pinpoint when and why errors occur.
Powerful, granular observability into LLMs
Honeycomb helps pinpoint issues, reduce hallucinations, and improve the quality of AI-powered applications. Understand system behavior as a whole, identify performance bottlenecks, and optimize your AI evals with real-world data.
Trusted by innovators and enterprises worldwide
Thanks to Honeycomb, SLO-based monitoring has proven superior for LLM reliability than traditional metrics. Given AI’s unpredictable nature, SLOs help us catch and investigate anomalies without triggering a flood of noisy alerts.
Related features
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