honeyhive-ai

honeyhive-ai

HoneyHive AI is a modern AI observability and evaluation platform designed to help organizations systematically measure, debug, and improve AI agents at scale, from startups to Fortune 100 enterprises.

honeyhive-ai is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

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#432 in AI Agents (432 tools)
Added 0 year ago
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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

Free

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honeyhive-ai

HoneyHive AI provides a comprehensive platform to observe, evaluate, and improve AI agents across enterprises. It supports systematic offline and online evaluation of AI agents, enabling teams to identify regressions and optimize performance before deployment. The platform offers end-to-end visibility into AI agent behavior through trace ingestion, session replays, and rich visualizations, facilitating faster debugging and optimization. HoneyHive also supports collaborative management of prompts, datasets, and evaluators with version control and Git integration, making it ideal for cross-functional AI and ML teams. Trusted by global banks and Fortune 500 companies, HoneyHive ensures enterprise-grade security and compliance with SOC-2, GDPR, and HIPAA standards.

AI observability and evaluation platform for LLM applications.

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Key Features

Systematic AI Evaluation

Run large-scale offline experiments and online evaluations using LLM-as-a-judge or custom code to measure AI quality and detect regressions.

Observability and Debugging

Ingest OpenTelemetry traces, replay chat sessions, and analyze logs with graph and timeline views to debug AI agents effectively.

Monitoring and Alerting

Continuously monitor cost, latency, and quality with over 50 pre-built metrics, custom charts, and real-time alerts for AI failures.

Collaborative Artifact Management

Manage prompts, datasets, and evaluators collaboratively with versioning, Git integration, and a shared IDE for cross-functional teams.

Enterprise Security and Compliance

SOC-2 Type II, GDPR, and HIPAA compliant with options for multi-tenant SaaS, dedicated cloud, or self-hosting in VPC or on-prem environments.

Human Review and Annotation

Enable domain experts to grade outputs and annotate data to improve evaluation accuracy and AI agent quality.

Pricing

Free Tier Available

HoneyHive offers a free tier to get started with AI observability and evaluation, allowing users to explore core features before scaling.

Use Cases

Pre-deployment AI Agent Testing

Evaluate AI agents offline against large test suites to identify regressions and ensure quality before releasing to users.

Real-time AI Monitoring

Monitor AI agent performance in production with real-time alerts on failures, latency, and cost metrics.

Debugging AI Pipelines

Use trace ingestion and session replays to quickly identify and resolve issues in AI agent workflows.

Collaborative Prompt and Dataset Management

Enable cross-functional teams to manage and version prompts, datasets, and evaluators collaboratively with Git-native workflows.

Enterprise-grade AI Governance

Implement fine-grained RBAC permissions and compliance controls for secure AI operations in regulated industries.

Integrations

OpenTelemetry

Native support for ingesting traces via OpenTelemetry SDKs for comprehensive AI agent observability.

Git

Git-native versioning and integration to manage prompts, datasets, and evaluators with live deployment capabilities.

Benefits

Improved AI agent quality through systematic evaluation and regression detection.
Faster debugging and issue resolution with end-to-end observability and session replays.
Enhanced collaboration between domain experts and engineers via shared artifact management.
Enterprise-grade security and compliance to meet regulatory requirements.
Scalable monitoring and alerting to maintain AI performance in production.

Limitations

Pricing details and specific plan tiers are not publicly disclosed.
The platform may require technical expertise to fully leverage OpenTelemetry integration and Git workflows.

Frequently Asked Questions

What types of AI agents can HoneyHive evaluate?
HoneyHive supports evaluation and observability for a wide range of AI agents, including large language models and retrieval-augmented generation pipelines.
Is HoneyHive compliant with industry security standards?
Yes, HoneyHive is SOC-2 Type II, GDPR, and HIPAA compliant, suitable for use in regulated industries.
Can I self-host HoneyHive?
Yes, HoneyHive offers flexible deployment options including multi-tenant SaaS, dedicated cloud, self-hosting in VPC, or on-premises.
Does HoneyHive support collaboration between domain experts and engineers?
Yes, the platform enables collaborative management of prompts, datasets, and evaluators with version control and annotation queues.

Getting Started

  1. 1 Sign up for a free account on the HoneyHive AI platform.
  2. 2 Ingest AI agent traces using OpenTelemetry SDKs or upload datasets for evaluation.
  3. 3 Set up evaluation experiments and monitoring metrics tailored to your AI agents.
  4. 4 Collaborate with your team to manage prompts, datasets, and evaluators in the UI or via Git integration.
  5. 5 Deploy and monitor AI agents with real-time alerts and observability tools.

Support

Documentation

Comprehensive docs and API references available at https://www.honeyhive.ai/docs

Community

Engage with the HoneyHive community via Discord, Twitter, and LinkedIn.

Email

Contact support through the website contact page for personalized assistance.

API

Available: Yes
Documentation:

API documentation is available at https://www.honeyhive.ai/docs/api-reference

Rate Limits:

Rate limit information is not publicly disclosed.

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