Building the Future of AI Observability
OpenLIT is an open-source AI engineering platform that helps teams build, evaluate, and observe AI applications across the entire lifecycle from development to production.
OpenTelemetry-native LLM Application Observability
OpenLIT is designed to make the integration of observability into GenAI projects as easy as pie – literally, with just a single line of code. Whether you're working with popular LLM libraries such as OpenAI and HuggingFace or leveraging vector databases like ChromaDB, OpenLIT ensures your applications are monitored seamlessly.
We proudly follow the Semantic Conventions of the OpenTelemetry community, consistently updating to align with the latest standards in observability.
Growing Open Source Community
Join thousands of developers building better LLM applications.
- 2411 GitHub Stars
- 6.9M SDK Downloads
- 271 Forks
- 38 Open Issues
What Makes OpenLIT Special
A comprehensive platform with everything you need to build, monitor, and optimize your AI applications.
Observability & Real-time Monitoring
Distributed tracing powered by OpenTelemetry with real-time insights. Track token usage, monitor response times, and debug AI applications in production.
Fleet Hub
Centralized management and monitoring of multiple AI deployments. Get a unified view of all your LLM applications across environments.
Prompt Hub
Manage and version prompts for consistent and easy access across applications. Experiment and iterate faster.
Vault
Securely handle your API keys and secrets centrally, avoiding insecure hardcoding practices.
OpenGround
Explore, test, and compare various LLMs side by side. Find the best model for your use case.
Kubernetes Operator
Zero-code AI observability for Kubernetes workloads. Automatic instrumentation without touching your code.
What is LIT?
LIT stands for Learning Interpretability Tool. It refers to a visual, interactive model-understanding and data visualization tool, a term introduced by Google. OpenLIT builds on this concept to provide comprehensive observability for modern AI applications.
Our Core Values
Open Source & Free
Always free, self-hosted, and no vendor lock-in. Your data stays in your infrastructure.
Privacy First
Your sensitive AI data never leaves your infrastructure. Complete control and compliance.
Community Driven
Built by developers, for developers. Every feature is shaped by community feedback.
Ways to Contribute
Whether it's big or small, we love contributions 💚. Here are a few ways to get involved:
Contribute Code
Help improve OpenLIT with bug fixes, new features, and integrations. Check our GitHub issues for good first issues.
Report Issues
Found a bug? Have a feature request? Open an issue on GitHub and help us make OpenLIT better.
Write Documentation
Improve our docs, write tutorials, or create examples. Help others get started with OpenLIT.
Join the Community
Connect with other users, share your experience, and help answer questions on Slack and Discord.
Support OpenLIT
Help us build the future of open-source AI observability. Your support enables us to ship faster, add more integrations, and provide better support.
Ready to Transform Your AI Observability?
Join thousands of developers using OpenLIT to build better, more reliable LLM applications. Get started in less than a minute.