OpenLIT is an innovative open-source tool designed for observing LLMs (Large Language Models) and GPUs. Powered by OpenTelemetry, it provides a wide range of features including tracing, metrics, and a dedicated playground for debugging and enhancing LLM applications. With support for over 20 integrations such as OpenAI and LangChain, OpenLIT seamlessly exports data to your preferred observability platforms.
For developers and data scientists seeking a streamlined approach to monitor and evaluate LLMs and GPUs, OpenLIT offers a user-friendly solution. By leveraging its robust capabilities, users can gain valuable insights into the performance and efficiency of their applications. Additionally, the tool’s real-time data streaming feature enables quick decision-making and modifications based on the collected data.
OpenLIT stands out for its easy integration process, making it accessible to a wide range of users. By simply adding ‘openlit.init()’ to your LLM application, you can start collecting data effortlessly. Whether analyzing LLM costs, token consumption, or user interactions, the intuitive OpenLIT UI provides a clear overview of key performance indicators and metrics.
Explore the possibilities with OpenLIT by visiting their website at OpenLIT.