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.
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.
Join thousands of developers building better LLM applications
A comprehensive platform with everything you need to build, monitor, and optimize your AI applications
Distributed tracing powered by OpenTelemetry with real-time insights. Track token usage, monitor response times, and debug AI applications in production.
Centralized management and monitoring of multiple AI deployments. Get a unified view of all your LLM applications across environments.
Manage and version prompts for consistent and easy access across applications. Experiment and iterate faster.
Securely handle your API keys and secrets centrally, avoiding insecure hardcoding practices.
Explore, test, and compare various LLMs side by side. Find the best model for your use case.
Zero-code AI observability for Kubernetes workloads. Automatic instrumentation without touching your code.
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.
Always free, self-hosted, and no vendor lock-in. Your data stays in your infrastructure.
Your sensitive AI data never leaves your infrastructure. Complete control and compliance.
Built by developers, for developers. Every feature is shaped by community feedback.
Whether it's big or small, we love contributions 💚. Here are a few ways to get involved:
Help improve OpenLIT with bug fixes, new features, and integrations. Check our GitHub issues for good first issues.
Found a bug? Have a feature request? Open an issue on GitHub and help us make OpenLIT better.
Improve our docs, write tutorials, or create examples. Help others get started with OpenLIT.
Connect with other users, share your experience, and help answer questions on Slack and Discord.
Connect with the OpenLIT community and maintainers for support, discussions, and updates
OpenLIT