OpenLIT is an OpenTelemetry-native GenAI and LLM Application Observability tool. It's designed to make the integration process 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, providing critical insights to improve performance and reliability.
This project proudly follows the Semantic Conventions of the OpenTelemetry community, consistently updating to align with the latest standards in observability.
LIT stands for Learning Interpretability Tool. It refers to a visual, interactive model-understanding and data visualization tool ad a term introduced by Google.
- OpenTelemetry-native: Native support ensures that integrating OpenLIT into your projects feels more like a natural extension rather than an additional layer of complexity.
- Granular Usage Insights of your LLM Applications: Assess your LLM's performance and costs with fine-grained control, breaking down metrics by environment (such as staging or production) or application, to optimize for efficiency and scalability.
- Vendor-Neutral SDKs: In the spirit of OpenTelemetry, OpenLIT's SDKs are agnostic of the backend vendors. This means you can confidently use OpenLIT with various telemetry backends, like Grafana Tempo, without worrying about compatibility issues.
Whether it's big or small, we love contributions 💚. Check out our Contribution guide to get started
Unsure where to start? Here are a few ways to get involved:
- Join our Slack channel to discuss ideas, share feedback, and connect with both our team and the wider OpenLIT community.
Your input helps us grow and improve, and we're here to support you every step of the way.
Connect with the OpenLIT community and maintainers for support, discussions, and updates:
- 🌟 If you like it, Leave a star on our GitHub
- 🌍 Join our Slack Community for live interactions and questions.
- 🐞 Report bugs on our GitHub Issues to help us improve OpenLIT.
- 𝕏 Follow us on X for the latest updates and news.
OpenLIT is available under the Apache-2.0 license.
Join us on this voyage to reshape the future of AI Observability. Share your thoughts, suggest features, and explore contributions. Engage with us on GitHub and be part of OpenLIT's community-led innovation.