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Set up test suites to automatically test and evaluate your LLM application pre-production.
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Define your own code and LLM evaluators to automatically test your AI pipelines against your custom criteria.
Evaluation runs can be logged programmatically and integrated into your CI/CD workflows via our SDK, allowing you to check for regressions and maintain reliability.
Get detailed visibility into your entire LLM pipeline across your run, helping you pinpoint sources of regressions in your pipeline as you run experiments.
Save, version, and compare evaluation runs to create a single source of truth for all experiments and artifacts, accessible to your entire team.
Capture underperforming test cases from production and add corrections to curate golden datasets for continuous testing.
We automatically parallelize requests and metric computation to speed up large evaluation runs spanning thousands of test cases.
HoneyHive enables you to test AI applications just like you test traditional software, eliminating guesswork and manual effort.
Evaluate prompts, agents, or retrieval strategies programmatically
Invite domain experts to provide human feedback
Collaborate and share learnings with your team
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HoneyHive enables you to filter and label underperforming data from production to curate "golden" evaluation datasets for continuous testing and iteration.
Filter and add underperforming test cases from production
Invite domain experts to annotate and provide ground truth labels
Manage and version evaluation datasets across your project
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Every use-case is unique. HoneyHive allows you to configure your own LLM and code evaluators that can be used with our Evaluate API.
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Test faithfulness and context relevance across RAG pipelines
Write assertions to validate JSON structures or find keywords
Implement custom moderation filters to detect unsafe responses
Semantically analyze text for topic, tone, and sentiment
Calculate NLP metrics such as ROUGE-L or BLEU
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Simple SDK. Easy to integrate with your existing codebase and pipeline logic.
CI/CD integration. Allows you to integrate HoneyHive into your existing CI workflow using GitHub Actions or Jenkins.
Customizable evaluators. Use our out-of-the-box evaluators, define your own, or use 3rd party eval libraries like OpenAI Evals.
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