lmnr.ai: Streamlining AI Application Development with Open-Source Observability

lmnr.ai is an open-source platform designed to simplify the tracing and evaluation of AI applications, particularly those built with large language models (LLMs). With just a single line of code, it enables automatic tracing across LLM frameworks and SDKs, offering real-time debugging capabilities for AI workflows and agents. Its browser agent observability feature captures high-quality browser sessions and aligns them seamlessly with agent traces, providing deep insights into user interactions. The built-in Playground allows developers to experiment with LLM spans, including prompts and models, while the centralized eval dataset management supports robust evaluation and prompt engineering. Users can also create labeled eval datasets through intuitive labeling queues. Fully open source under the Apache 2.0 License, lmnr.ai can be self-hosted via Docker Compose or Helm charts, making it ideal for teams seeking transparency, control, and customization in their AI development process.

Key Features:

• Automatic LLM framework and SDK tracing with one line of code
• Real-time tracing for debugging AI workflows and agents
• Browser agent observability with high-quality session recording and trace synchronization
• Interactive Playground for experimenting with LLM spans, prompts, and models
• Centralized management of evaluation datasets
• Dataset creation from labeled data using labeling queues
• Full open-source availability under Apache 2.0 License
• Self-hosting support via Docker Compose and Helm charts

Pricing: lmnr.ai is completely free and open source, with no paid tiers required. It offers a freemium model through its open-source nature, allowing unlimited use and customization at no cost.

Conclusion: lmnr.ai stands out as a powerful, transparent, and developer-friendly tool for tracing and evaluating AI applications, making it an essential asset for teams building intelligent agents and workflows with LLMs.