OpenLIT Core Features
OpenLIT is an open-source LLM and GPU observability tool built on OpenTelemetry. Trace, monitor, and debug LLM apps with ease. Supports 20+ integrations and exports data to existing observability tools.
Core Features of OpenLIT
OpenTelemetry-native GenAI and LLM Application Observability Tool
OpenLIT is an open-source tool that provides observability for GenAI and LLM applications. OpenLIT is built on OpenTelemetry, which is a standard for collecting and exporting telemetry data, such as traces and metrics.
Supports Multiple Integrations
OpenLIT supports multiple integrations with popular GenAI and LLM frameworks. This allows users to easily collect telemetry data from their applications and use it to gain insights into their performance.
Explore the product
OpenLIT provides a powerful interface for exploring telemetry data. This interface allows users to easily visualize traces and metrics, and to identify potential performance bottlenecks.
Use Cases of OpenLIT
- AI Engineers: Streamline Generative AI development workflows using OpenLIT's LLM experimentation and prompt management features.
- DevOps Teams: Improve AI application performance with OpenLIT's OpenTelemetry-native tracing and exception monitoring capabilities.
- Machine Learning Researchers: Compare various LLMs side-by-side using OpenLIT's Playground for cost and performance analysis.
- Data Scientists: Securely manage API keys and other sensitive information within OpenLIT's Vault for enhanced security.
- Software Developers: Integrate OpenLIT's SDKs for Python and TypeScript to easily monitor application errors and gain granular usage insights.
