HoneyHive
Overview of HoneyHive
HoneyHive: The AI Observability and Evaluation Platform
What is HoneyHive? HoneyHive is a comprehensive AI observability and evaluation platform designed for teams building Large Language Model (LLM) applications. It provides a single, unified LLMOps platform to build, test, debug, and monitor AI agents, whether you're just getting started or scaling across an enterprise.
Key Features:
- Evaluation: Systematically measure AI quality with evals. Simulate your AI agent pre-deployment over large test suites to identify critical failures and regressions.
- Agent Observability: Get instant end-to-end visibility into your agent interactions with OpenTelemetry, and analyze the underlying logs to debug issues faster. Visualize agent steps with graph and timeline views.
- Monitoring & Alerting: Continuously monitor performance and quality metrics at every step - from retrieval and tool use, to reasoning, guardrails, and beyond. Get alerts over critical AI failures.
- Artifact Management: Collaborate with your team in UI or code. Manage prompts, tools, datasets, and evaluators in the cloud, synced between UI & code.
How to use HoneyHive?
- Evaluation: Define your test cases and evaluation metrics.
- Tracing: Ingest traces via OTel or REST APIs to monitor agent interactions.
- Observability: Use the dashboard and custom charts to track KPIs.
- Artifact Management: Manage and version prompts, datasets, and evaluators.
Why is HoneyHive important? HoneyHive allows you to:
- Improve AI agent capabilities.
- Seamlessly deploy them to thousands of users.
- Ensure quality and performance across AI agents.
- Debug issues instantly.
Pricing:
Visit the HoneyHive website for pricing details.
Integrations:
- OpenTelemetry
- Git
Where can I use HoneyHive?
HoneyHive is used by a wide range of companies from startups to Fortune 100 enterprises for various applications including personalized e-commerce, and more.
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