HoneyHive
AI observability and evaluation platform to monitor, evaluate, and govern AI agents and applications across any model, framework, or agent runtime.
At a Glance
Pricing
Free tier for getting started with AI observability
Engagement
Available On
About HoneyHive
HoneyHive provides a comprehensive platform for observing, evaluating, and governing AI agents and applications. It enables teams to instrument end-to-end AI applications—including prompts, retrieval, tool calls, MCP servers, and model outputs—so they can identify and fix issues quickly. The platform supports over 100 LLMs and agent frameworks through OpenTelemetry-native instrumentation.
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Distributed Tracing allows teams to see inside any agent, framework, or runtime with full visibility into prompts, retrieval steps, tool calls, and model outputs for rapid debugging.
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Online Evaluation runs live evaluations with 25+ pre-built evaluators to detect failures across quality, safety, and more at scale, with support for custom LLM-as-a-judge or code evaluators.
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Monitoring & Alerts provides real-time alerts when agents silently fail, with drift detection and custom dashboards to track the metrics that matter most.
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Experiments enable teams to validate agents pre-deployment on large test suites, compare versions, and catch regressions in CI/CD before users experience them.
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Prompt Management offers a collaborative IDE for managing and versioning prompts, with a playground for experimenting with new prompts and models.
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Dataset Curation allows teams to centrally manage test cases with domain experts and curate test suites directly from traces in the UI.
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Human Review enables domain experts to grade and correct outputs through annotation queues, supporting a hybrid evaluation approach.
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Session Replays let teams replay chat sessions in the Playground for detailed analysis and debugging.
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CI/CD Integration runs automated test suites over every commit with GitHub integration for version management across artifacts.
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Enterprise Security includes SOC-2 Type II, GDPR, and HIPAA compliance with options for multi-tenant SaaS, dedicated cloud, or self-hosting up to fully air-gapped deployments.
To get started, sign up for a free account and integrate your application using SDKs in Python or TypeScript with native OpenTelemetry support. The platform provides automatic instrumentation for 50+ popular libraries including LangChain, LangGraph, AWS Strands, Google ADK, and OpenAI Agents SDK.

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Pricing
Free Plan Available
Free tier for getting started with AI observability
- 10K events per month
- Up to 5 users
- Single workspace
- 30d data retention
- Full evaluation, observability, and prompt management suite
Enterprise
Ideal for large organizations with custom requirements
- Custom usage limits
- Unlimited users and workspaces
- Choose between multi-tenant SaaS, dedicated SaaS, or self-hosting
- Custom SSO & SAML
- Dedicated support, SLA, and team trainings
- Custom Model Providers
- Custom Roles and Permission Groups
- Custom Data Retention Policy
- PII Scrubbing
- InfoSec Review
- Custom DPA
- HIPAA Compliance and BAA
- Slack/Teams Connect Channel
- Uptime and Support SLA
- CSM and Team Trainings
Capabilities
Key Features
- Distributed Tracing
- Online Evaluation
- Monitoring & Alerts
- Drift Detection
- Custom Dashboards
- Experiments
- Regression Tracking
- CI/CD Integration
- Prompt Management
- Prompt Versioning
- Playground
- Dataset Curation
- Annotation Queues
- Human Review
- Session Replays
- Graph and Timeline View
- Data Export
- Custom Evaluators
- 25+ Pre-built Evaluators
- OpenTelemetry-native
- RBAC
- SSO
- SAML
- Self-hosting
- PII Scrubbing