OpenLit - Simplified Observability Tool for LLMs & GPUs OpenTelemetry Observability

OpenLit is an open-source observability tool designed specifically for LLMs and GPUs, leveraging the power of OpenTelemetry for seamless integration. With features such as tracing, metrics, and a built-in playground for debugging LLM applications, OpenLit simplifies the process of monitoring and optimizing performance.

One of the key advantages of OpenLit is its support for over 20 integrations, including popular platforms like OpenAI and LangChain. This tool allows users to export data effortlessly to their existing observability systems, enabling a comprehensive view of their applications’ performance and behavior.

By offering real-time data streaming and granular usage insights, OpenLit empowers users to analyze LLM, Vectordb, and GPU performance effectively, leading to enhanced efficiency and scalability. Its low latency ensures that data processing remains swift without compromising application performance.

For those looking to streamline observability and evaluation processes for LLMs and GPUs, OpenLit provides a user-friendly interface to visualize and analyze critical metrics such as costs, token consumption, and performance indicators. Additionally, it offers seamless connectivity with popular observability platforms like Datadog and Grafana Cloud for effortless data export.

Explore more about OpenLit on their official website: OpenLit .