Open-source platform to trace, evaluate, and improve AI agents. Debug LLM calls, track tool use, and run evaluations on your AI applications.
Automatic Tracing
Trace all LLM frameworks and SDKs with a single line of code.
Real-Time Debugging
Debug your AI app faster with real-time traces.
Browser Agent Observability
Record browser sessions and sync them with agent traces for better debugging.
Custom Datasets and Labels
Build datasets from span data for evals, fine-tuning, and prompt engineering.
Laminar is an open-source platform designed for developers to build reliable AI products. It enables users to trace and evaluate their AI applications efficiently, providing visibility into every execution step. With just a single line of code, developers can activate tracing across common LLM frameworks, significantly simplifying the debugging process and enhancing overall application performance.
Laminar supports multiple programming languages including TypeScript and Python. It is designed to be self-hosted and comes with an easy-to-use API for integration.
Developers looking to enhance debugging processes in AI applications.
Teams building LLM-based features that require high accuracy.
Organizations needing to maintain observability for browser agents.
Laminar supports TypeScript and Python.
Yes, Laminar is fully open-source and can be self-hosted.
By providing real-time tracing and observability, Laminar helps developers debug and fine-tune their applications effectively.
