OpenLIT is an advanced observability tool tailored for GenAI and LLM applications. By leveraging OpenTelemetry, it combines traces and metrics into a single interface, allowing developers to monitor performance, user interactions, and resource usage effectively. Its auto-instrumentation supports various LLM frameworks and VectorDBs, offering valuable insights into application behavior. OpenLIT is designed to help teams optimize their LLM deployments and understand cost implications.

Langtrace provides deep observability for LLM applications by capturing detailed traces and performance metrics. It helps developers identify bottlenecks and optimize their models for better performance and user experience. With features such as integrations with OpenTelemetry and a flexible SDK, Langtrace enables seamless monitoring of AI systems. It is suitable for both small projects and large-scale applications, allowing for a comprehensive understanding of how LLMs operate in real-time. Whether for debugging or performance enhancement, Langtrace stands as a vital resource for developers working in AI.

Small Hours is an AI-powered observability platform designed to automate root cause analysis 24/7, minimizing downtime and maximizing efficiency. By hooking into existing alarms and integrating with platforms like OpenTelemetry, Datadog, and Sentry, Small Hours intelligently triages issues, provides contextual insights by connecting codebases and runbooks, and ensures your data remains private. The service is built for developers by developers, optimized for enterprise scalability and velocity.