OpenLIT

OpenLIT is an open-source application observability tool that uses OpenTelemetry to provide a unified view of Generative AI (GenAI) and Large Language Model (LLM) applications. It aggregates traces and metrics into a single, unified interface for better application performance management.

Some of the key features of OpenLIT include:

• Easy Integration: Begin collecting data by calling openlit.init() in your LLM application.
• Native OpenTelemetry Support: Projects integrate automatically.
• Granular Insights: See LLM, Vectordb, and GPU performance and costs to optimize for efficiency and scalability.
• Real-Time Data Streaming: Visualize data and make fast decisions with low-latency processing.
• Visual Analysis: Explore LLM costs, token consumption, performance metrics and user interactions through an intuitive UI.

OpenLIT is designed for developers building GenAI and LLM applications, and it supports multiple integrations, including Datadog and Grafana Cloud for automatic data export. With real-time data and performance insights, OpenLIT helps users optimize their applications for better efficiency and scalability. OpenLIT is an open-source project that can be easily set up with docker-compose up -d.

Published on July 27, 2024