HoneyHive.ai: The Ultimate Platform for AI Agent Development and Monitoring

HoneyHive.ai is a powerful, developer-centric platform designed to streamline the building, testing, debugging, and monitoring of AI agents. Built for both developers and domain experts, it offers a comprehensive suite of tools for AI observability, prompt management, dataset curation, and evaluation—enabling teams to adopt a Test-Driven Development (TDD) approach with confidence. With support for distributed tracing via OpenTelemetry, seamless integration with frameworks like LangChain and LlamaIndex, and robust security compliance (SOC-2 Type II, GDPR, HIPAA), HoneyHive.ai ensures high performance, transparency, and reliability in LLM application workflows. Its flexible hosting options, including multi-tenant SaaS, dedicated cloud, and self-hosting on AWS, Azure, or GCP via Kubernetes, make it ideal for startups and Fortune 100 enterprises alike.

Key Features:

• AI Agent Development & Testing: Full lifecycle support for building, testing, and debugging AI agents.
• Observability: Real-time tracing, performance monitoring, error detection, and detailed logs for LLM applications.
• Prompt Management: Prompt Studio with versioning, history, functions, external tools, and dynamic deployment via API or GitHub Workflow.
• Evaluation & Testing Automation: Online evaluation with sampling, experiment reports, regression testing, and integration into CI pipelines.
• Dataset Curation & Annotation: Collaborative tools for dataset creation and human review by domain experts.
• Distributed Tracing: Native integration with OpenTelemetry (OTLP or JSON) and REST APIs for end-to-end trace visibility.
• Session Replays: Replay LLM chat sessions in the Playground for deep debugging and analysis.
• Custom Metrics & Analytics: Define custom metrics for LLM and code evaluation, with dashboard support for custom charts, filters, and grouping.
• Drift Detection & Alerts: Proactively detect anomalies and critical failures with intelligent alerts.
• Git-Native Versioning: Full integration with Git for prompt and artifact version control.
• Flexible Hosting: Multi-tenant SaaS, dedicated cloud, and self-hosting (BYOC) options with private cloud deployment support.
• Security & Compliance: SOC-2 Type II, GDPR, and HIPAA compliant with encrypted data at rest and in transit, SSO, SAML, and RBAC.
• Framework Integration: Works seamlessly with LangChain, LlamaIndex, CrewAI, and Vercel AI SDK.
• Data Export & Portability: Full control over data with export capabilities and user rights under privacy regulations.

Pricing: HoneyHive.ai offers a Free tier for initial exploration and a Developer plan starting at a low entry point with 10K events per month, 5 users, and 30-day data retention. For larger teams and organizations, the Enterprise plan provides custom usage limits, unlimited users, and advanced hosting options including self-hosting in a VPC. Subscription fees are charged monthly or annually, with no carryover of unused usage credits and no refunds. Pricing is scalable and tailored to needs, making it accessible for startups and secure for enterprise-grade deployments.

Conclusion: HoneyHive.ai stands out as a sophisticated, secure, and developer-friendly platform that empowers teams to build, evaluate, and monitor AI agents with precision and confidence—ideal for organizations serious about robust, scalable, and compliant LLM development.