
What is OpenLIT?
OpenLIT is an open-source GenAI and LLM observability platform native to OpenTelemetry. It provides Application Performance Monitoring (APM) & Observability for GenAI and LLM applications, unifying traces and metrics in a single interface. OpenLIT simplifies AI development workflows, especially for Generative AI and LLMs, by streamlining tasks like experimenting with LLMs, organizing prompts, and securely handling API keys.
How to use OpenLIT?
Integrate OpenLIT into your LLM application by adding `openlit.init()` to start collecting data. You can also run `docker-compose up -d` to quickly start using the open-source tool.
OpenLIT’s Core Features
Application and Request Tracing Detailed Span Tracking Cost Tracking Exceptions Monitoring Centralized Prompt Repository Secure Secrets Management (Vault Hub) OpenTelemetry Native Integration Granular Usage Insights Real-Time Data Streaming Low Latency
OpenLIT’s Use Cases
- Visualize traces for application and request tracing to improve performance visibility.
- Monitor exceptions and troubleshoot issues with detailed stacktraces.
- Test and compare different LLMs side-by-side based on performance and cost.
- Manage prompts with versioning and variable substitution.
- Securely store and manage sensitive application secrets.
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