Lunary

Lunary is an observability and prompt management platform designed specifically for LLM-based applications. It enables teams to monitor, analyze, and improve the behavior and performance of large language models in production environments. By centralizing logs, prompts, and responses, Lunary helps developers gain visibility into how their LLMs are used and how they perform over time.

Key capabilities include detailed tracing of LLM calls, logging of prompts and outputs, and metrics such as latency, token usage, and error rates. Lunary provides tools to version, test, and iterate on prompts, allowing teams to compare different prompt variants and measure their impact on quality and cost. It supports evaluation workflows, including human and automated feedback, to systematically improve model responses. Integration with popular LLM providers and frameworks simplifies setup and enables consistent monitoring across multiple models and environments.