What is Openlit?

OpenLit is an open-source application observability tool designed specifically for LLM and GenAI infrastructures. It integrates seamlessly with OpenTelemetry, allowing users to initiate data collection effortlessly through simple command setups like `openlit.

init()` and `docker-compose -d`. The tool provides granular insights on resource usage, enabling the analysis of LLM, vector database, and GPU performance for improved operational efficiency. With real-time data streaming capabilities, OpenLit allows for immediate data visualization, facilitating quick decision-making and modifications.

The user-friendly interface aids in exploring costs, token consumption, and performance metrics in a straightforward manner. OpenLit connects with popular observability platforms such as Datadog and Grafana, streamlining the data export process for enhanced monitoring and analysis.

⭐ Key features

Openlit core features and benefits include the following:

✔️ Open-source application.
✔️ Integration with OpenTelemetry.
✔️ Granular insights on resource usage.
✔️ Real-time data streaming capabilities.
✔️ Connection with observability platforms like Datadog and Grafana.

⚙️ Use cases & applications

✔️ Monitor and analyze GPU performance in LLM applications using OpenLit to optimize resource allocation and enhance operational efficiency.
✔️ Utilize OpenLit to visualize cost and token consumption in real-time, enabling quick adjustments to improve budget management for GenAI projects.
✔️ Integrate OpenLit with Datadog and Grafana for seamless data export, allowing teams to leverage existing observability platforms for comprehensive monitoring and analysis of their AI infrastructure.