Show HN: Open-source Langsmith alternative written in Rust (github.com)

Laminar, a new open-source observability platform developed in Rust, has been announced as an alternative to Langsmith, specifically designed for AI agents. This platform incorporates an OpenTelemetry-native tracing SDK that enables automatic tracking of various AI integrations, including Vercel AI SDK and OpenAI, with minimal setup. Laminar's standout features include a powerful evaluation CLI for local and CI/CD use, customizable dashboards for visualizing metrics, and real-time monitoring capabilities. Users can create datasets and perform SQL queries on traces and metrics directly, making data management more intuitive. The significance of Laminar for the AI/ML community lies in its high performance and ease of integration, which can streamline debugging and enhance the observability of AI systems. With its fast, full-text search capabilities and user-friendly UI, developers can quickly identify issues and optimize the performance of their AI agents. The real-time engine for tracing and the ability to define events using natural language further simplify the monitoring process, positioning Laminar as a valuable tool for teams aiming to enhance the reliability and efficiency of their AI-powered applications.