Lunary

Lunary is an observability and prompt management platform designed specifically for developers and teams building applications powered by large language models (LLMs). Its core value proposition lies in providing deep visibility into LLM performance, enabling users to debug, optimize, and govern their AI features efficiently. By centralizing logs, metrics, and user feedback, it transforms the often opaque process of LLM integration into a manageable and data-driven workflow, helping teams ship more reliable and cost-effective AI products.

Key features: The platform offers comprehensive logging of all LLM calls, including inputs, outputs, latencies, and token usage. It supports advanced prompt management with versioning, A/B testing, and templating to iterate quickly. Users can set up automated evaluations to score outputs on criteria like correctness or tone, and analyze conversations with features like chat replay, topic classification, and user feedback analysis. It also provides robust data export capabilities and supports multi-modal data inputs.

What sets Lunary apart is its strong focus on being an open-core platform with a powerful self-hosted option, appealing to enterprises with strict data privacy and security requirements, including ISO 27001 compliance. It offers deep integrations with popular LLM frameworks like LangChain and supports a wide range of models, including Mistral and other open-source LLMs. Its interface is designed for developer productivity, making complex observability tasks accessible without sacrificing technical depth.

Ideal for startups and enterprise teams developing LLM-powered chatbots, copilots, or any generative AI application. It is particularly valuable for software developers, ML engineers, and product managers in industries like SaaS, fintech, and customer support who need to ensure their AI features are performant, secure, and aligned with user expectations. Use cases include monitoring chatbot performance, reducing hallucination rates, optimizing prompt costs, and gathering actionable insights from user interactions.

Pricing starts with a generous free tier for individuals and small projects. Paid plans begin at $20 per month for teams, scaling with usage and offering advanced features like SSO, custom evaluations, and priority support, with enterprise options available for large-scale deployments.