Tool dossier

OpenLIT

Open-source observability platform for GenAI and LLM applications. Real-time monitoring, distributed tracing, prompt management, and AI model evaluation built on OpenTelemetry.

1 sources 2,363 stars Apache-2.0

Product snapshot

How the interface presents itself

OpenLIT interface screenshot

Positioning

What this project is really offering

The goal here is to separate raw catalog facts from the sharper product shape users care about before they commit time.

About

Monitor and optimize your LLM applications with comprehensive observability tools designed for production AI workloads. Built entirely on OpenTelemetry standards for seamless integration with existing infrastructure. Key capabilities include: Quick setup requires just a few lines of code with zero application changes. The platform supports automatic Kubernetes instrumentation through the OpenLIT Operator, making it perfect for containerized environments. Privacy-first approach ensures your data never leaves your infrastructure, while the open-source nature eliminates vendor lock-in concerns. Compatible with all major LLM providers and frameworks including OpenAI, Anthropic, Google, AWS Bedrock, and popular vector databases. Production-ready with minimal performance overhead, designed to scale with your AI applications from development to enterprise deployment.

Highlights

The capabilities most worth remembering

01

Distributed Tracing

02

AI Model Evaluation

03

Prompt Management

04

Real-time Monitoring

05

Multi-Deployment Management

Evidence

What backs up the editorial summary

Primary source links