HoneyHive

HoneyHive is an AI Observability and Evaluation Platform designed to test, debug, monitor, and optimize AI agents—from initial experiments to production scale. It provides end-to-end tooling to run evaluations, trace and diagnose issues, monitor performance and costs, and manage prompts, datasets, and tools in a collaborative environment. The platform emphasizes OpenTelemetry-based tracing, cloud-scale evaluation, and governance for enterprise AI deployments.

Overview

• Platform to test, debug, monitor, and optimize AI agents across development and production.
• Supports evaluations, experiments, traces, datasets, evaluators, monitoring, and playground for rapid iteration.
• Integrates with OpenTelemetry for end-to-end visibility and supports large-scale production workloads.
• Flexible hosting options (multitenant SaaS, dedicated cloud, or self-hosting in a VPC) with SOC-2 and GDPR-aligned compliance.
• Emphasis on collaboration, versioning, and governance of prompts, tools, and datasets.

How it Works

• Run evals over large test suites using LLMs, code, or human evaluators to systematically measure AI quality.
• Track test results and traces in the cloud; identify improvements and regressions automatically.
• Instrument agent workflows with OpenTelemetry to debug issues via traces, logs, and events.
• Monitor production performance (cost, latency, quality) and set guardrails and alerts.
• Centralize prompts, datasets, and tools with versioning and Git-native flows to enable consistent deployments.

Core Capabilities

• Evals, Experiments, Datasets, Evaluators, and Human Review to measure and improve AI quality.
• Tracing (OpenTelemetry) for end-to-end visibility and fast debugging.
• Online Evaluation and Session Replay to test in the cloud and reproduce LLM requests.
• Monitoring dashboards with custom charts, alerts, and guardrails for production quality.
• Domain experts can review outputs and provide feedback to improve models and prompts.
• Flexible hosting and data residency to meet security and compliance needs.
• Git-native versioning and CI-like automation for evaluating changes on deploys.
• Playground and Open Ecosystem: integrate any model, framework, or cloud; quickstart guides and enterprise onboarding.

Security & Compliance

• SOC-2 compliant and GDPR-aligned to support secure, enterprise-grade deployments.
• Flexible hosting options: multi-tenant SaaS, dedicated cloud, or self-hosted in your VPC.

Deployment & Collaboration

• Centralized collaboration for domain experts and engineers; shared prompts, datasets, and tools with synchronized UI and code.
• Version management across prompts, datasets, and tools; deploy prompt changes live from the UI.
• Dedicated support and white-glove services for enterprise needs.

Metrics & Insights

• Real-time dashboards and custom charts to track KPIs such as latency, cost, success rate, and accuracy across models and tools.
• Filters, grouping, and fast search to surface trends and anomalies quickly.
• Alerts over critical LLM failures to trigger remediation workflows.

Deployment Options

• Quickstart in the cloud with options to deploy in your own environment.
• Enterprise deployment with data residency controls and scalable infrastructure capable of thousands of requests per second.
• OpenTelemetry-native SDKs enabling automatic instrumentation for 15+ model providers.

Core Features

• Evals framework to systematically measure AI quality across test suites (LLMs, code, humans)
• Experiments: track results and traces in the cloud for reproducibility and auditing
• Datasets: curate, label, and version datasets with team collaboration
• Evaluators: customizable assessment mechanisms to grade outputs
• Human Review: domain expert scoring and feedback
• Tracing: end-to-end visibility using OpenTelemetry to debug and understand agent behavior
• Online Evaluation: async evals on traces in the cloud
• Session Replay: replay LLM requests to reproduce issues
• Monitoring: live dashboards for cost, latency, and quality with guardrails and alerts
• Domain Collaboration: shared prompts, tools, and datasets with version control
• Playgound & Open Ecosystem: supports any model, framework, or cloud
• Deployment Flexibility: cloud, dedicated cloud, or self-hosted in a VPC
• SOC-2 & GDPR-aligned security and compliance