🧪 Laminar: Open-Source Observability for AI Agents

Laminar is not just a standard logging tool; it is an open-source observability platform purpose-built for AI agents and LLM applications. Backed by YC S24, it focuses on the monitoring and evaluation of AI systems in runtime. When developing agents, the hard part is often tracing what the model was thinking or which tools it called during intermediate steps. Laminar provides LLM evaluations, analytics, and monitoring to help developers track agent execution paths. For teams pushing LLM applications into production, this type of LLMOps infrastructure is essential for debugging and optimizing prompts.