OpenLIT is a native application observability tool for OpenTelemetry. It is designed to integrate observability into AI with only one line of code. You can use HuggingFace or OpenAI, two popular LLM libraries. OpenLIT's native integration makes it easy to add it to your projects. Analyze LLM performance and GPU costs to maximize efficiency and scalability. Streams data so you can visualize your data, make quick decisions, and modify it. Data is processed quickly and without affecting performance. OpenLIT UI allows you to explore LLM costs and token consumption, performance indicators and user interactions through a simple interface. Connect with popular observability tools, such as Datadog and Grafana Cloud to export data automatically. OpenLIT monitors your applications seamlessly.