Lunary

Lunary provides developers with comprehensive observability tools designed specifically for large language model applications. The platform combines real-time logging and debugging capabilities with distributed tracing, allowing you to quickly identify and resolve issues in your LLM agents. By capturing detailed execution traces, you gain visibility into model behavior and can effectively label data for supervised fine-tuning workflows. Cost optimization is built into Lunary's core functionality, with segmented cost tracking by user and model to help you understand and reduce your LLM expenses. The benchmarking feature enables systematic experimentation with different prompts and models, helping you identify the most cost-effective and performant configurations for your specific use cases. Lunary records and analyzes user conversations to reveal gaps in your chatbot's knowledge base and identify improvement opportunities. The platform supports collaborative prompt engineering through templates and tools that enable non-technical team members to contribute to optimization efforts alongside developers. Security and compliance are prioritized through self-hosting options and enterprise-grade compliance certifications. The open-source nature of Lunary fosters community-driven development, while features like live tailing, advanced search, alerting for anomalies, and a complete REST API provide the infrastructure needed for production-grade LLM monitoring and management.