OpenLIT is an open-source LLM and GPU observability tool built on OpenTelemetry. It offers tracing, metrics, and a playground to debug and improve LLM apps. Supports 20+ integrations like OpenAI, LangChain, and exports data to your existing observability tools
Hi Product Hunt!
I'm Aman, the founder and maintainer of OpenLIT. Today, we're thrilled to introduce OpenLIT, the first truly open-source observability and analytics platform based on OpenTelemetry, designed to monitor the entire LLM Stack—from the LLM applications themselves down to the GPU infrastructure layer—with just one line of code.
Building an MVP with LLMs is fast, but turning it into a polished product is hard. In our previous projects, we've spent countless hours dealing with common challenges that many LLM engineers face. Probabilistic outputs can be inaccurate or costly. High inference costs eat into budgets. Applications often suffer from high latency due to long response times from LLMs. Debugging complex LLM setups like chains, agents, and tools, is toughhhh. Plus, understanding user behavior from open-ended prompts and interactions is difficult.
We've faced these challenges too and that's why we created OpenLIT—to support developers by providing crucial insights into production data to enhance LLM application performance (without sweating).
Key Features:
⚡ Comprehensive Logging: Log full queries, errors, and metrics for every request.
🔍 Inspect & Debug: Visual UI to track token counts, compute costs, and latency over time.
👨👩👧👦 User Tracking: Monitor user interactions and gather feedback effectively.
🕹️ Prompt Playground: Test and optimize different prompts and LLMs.
🐾 Detailed Traces: Debug complex agent interactions easily.
🧪 Output Evaluations: Ensure high-quality, accurate responses.
💯 Seamless Integration: Export data to your existing observability stack without hassle.
Why Choose OpenLIT?
🏗 Open Source: Integrates with 20+ AI tools, customizable, community-driven.
💰 Cost Efficiency: Automatically calculates costs for custom and fine-tuned models.
🧑💻 Self-Hosted: Full control with self-hosting, keeping your data private and secure.
We'd love to hear your feedback! Check out our Quickstart Guide to get OpenLIT in action.
If you like what you see, support us with a ⭐ star on https://github.com/openlit/openlit. 🥳
Let's chat in the comments—I’d love to discuss your needs and how OpenLIT can help!
What a fantastic app, @aman_agarwal8! The performance is unmatched, and the user interface is simply delightful. The color choices are not only beautiful but also help in distinguishing features easily.
For some reason the interactive demos aren't loading for me, neither on PH nor on your site. Anyway, I'm particularly interested in the evals portion, which is mentioned in your title but I wasn't able to find info about it on your website. Can you talk more about how OpenLIT improves evals processes?
Great launch, Aman! Thanks for sharing this with us. It’s going to be incredibly useful for anyone working with LLMs and GPU infrastructure.
This tool looks promising! The ability to trace and improve LLM apps with metrics and rewriting is a big plus. Wishing you continued success with this new launch!
Excellent work on this release! The focus on security with encryption and audit trails is comforting. This tool will definitely enhance the observability of GenAI projects.
Just found this and it looks impressive. The interface for tracking and analyzing LLM costs and performance is exactly what’s needed. The tool is already adding value to many teams.
Nice! One-click access for observability and evaluations is exactly what we needed. Looks like a real time-saver.
simplification of the sales process through this tool is controllable. Centralizing information and providing notifications for client engagement are valuable features.
The feature to adjust LLM performance and costs is very useful. The low suspension ensures efficient data processing without impacting performance.
Congratulates! The Visual UI for tracking token counts, compute costs, and latency over time – how intuitive is it for new users?
Great job on this tool! The smooth combination with observability platforms like Datadog and Grafana will be unbelievably useful.
This tool seems like a fantastic addition for those working with Gen AI and LLMs. The support for Open Telemetry and real-time data smoothing are standout features.
Hey @aman_agarwal8
Openlit is a helpful tool for developers working with large language models (LLMs). It lets you track how these models are performing and find ways to improve them. It works with many popular AI tools and can share data with other tools you already use. Think of it as a checkup for your AI models!
Congratulations on the launch of Openlit. How does OpenLIT differentiate itself from other tools like Langsmith?
Congratulations on the launch!🙌 quite a comprehensive platform. just dropped product link to a couple of AI dev teams who might be interested
really usefull for AI Businesses! congrats on the launch and handed over to my dev team! cheers!
