Langtrace AI

Langtrace AI

Improve your LLM apps with open-source observability tool

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Langtrace AI is an open-source observability and evaluations tool that helps monitor, evaluate, and improve your LLM apps. With end-to-end visibility, advanced security, and seamless integration, Langtrace ensures you can optimize performance and build with confidence.
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Langtrace AI gallery image
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Launch tags:Developer Tools•Artificial Intelligence•Data & Analytics
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What do you think? …

Isabella Rose Wilson
Congrats on the launch of Langtrace AI! This tool sounds like a game changer for LLM app development. Looking forward to seeing how it enhances observability in the space. Upvote!
Jay Thakrar
@isabellarosewilson - thanks! Appreciate it. We provide observability and evaluations of how an LLM performs within your application. Feel free to try out the product via our platform or downloading our SDKs, and let us know if you have any questions or feedback. Happy to help!
Mary Garcia
Impressive launch with Langtrace AI! The focus on open-source observability for LLM apps is a game changer. Can't wait to see how the end-to-end visibility and advanced security features improve app performance. This could really help makers like me get more insights while building! Definitely will upvote. Shoutout to the team for tackling such an important need in the LLM ecosystem!
Jay Thakrar
@marygarcia - thanks! Appreciate it. We provide observability and evaluations of how an LLM performs within your application. Feel free to try out the product via our platform or downloading our SDKs, and let us know if you have any questions or feedback. Happy to help!
Kyrylo Silin
Telebugs
Hey, How easy is it for developers to integrate Langtrace into existing projects? What kind of insights can users expect to gain from using your tool? Congrats on the launch!
Jay Thakrar
@kyrylosilin Thanks for commenting! Super easy to integrate, takes two lines of code (more info on integration here: https://docs.langtrace.ai/introd...). Once installed, you can quickly: 1/ Compare different LLMs via a model playground tool 2/ Conduct prompt management and prompt versioning / tuning across various LLMs 3/ Collect traces and logs across your LLM, Vector DB, and Framework (if applicable) layers 4/ Conduct manual evaluations (e.g. annotations), create golden datasets, and then use those golden datasets for future evaluations (including automatic evaluations) and prompt management Feel free to check out a short video of the live platform here:
Let us know if you have any questions. Thanks!
Star Boat
This sounds like a solid tool for developers! The end-to-end visibility is crucial for monitoring LLM apps effectively. Looking forward to diving into Langtrace AI and seeing how it improves performance and security. Great launch! Upvoted!
Jay Thakrar
@star_boat - thanks! Appreciate it. Feel free to try out the product via our platform or downloading our SDKs, and let us know if you have any questions or feedback. Happy to help!
dashuai
Impressive work on Langtrace AI! As a tool aimed at enhancing observability for LLM apps, the end-to-end visibility feature is a game-changer. The seamless integration and advanced security protocols could lead to significant improvements in performance. This is exactly what the community needs to confidently build and iterate on their applications. Can't wait to see how it evolves! Upvoting this for sure!
Jay Thakrar
@ezshine - thanks! Feel free to try out the product via our platform or downloading our SDKs, and let us know if you have any questions or feedback. Happy to help!
David Wong
Whoa! Langtrace gives LLMs the supervision they need. 💥 This open-source tool helps developers understand their LLM's inner workings so they can really optimize things! 🎉
Ema Elisi
Elisi : AI-powered Goal Management App
Great to see Langtrace AI making waves in the observability space! The end-to-end visibility feature will definitely help Makers optimize their LLM apps effectively. Excited to explore its capabilities more in-depth. Upvoted!
Jay Thakrar
@ema_elisi Thanks for commenting! Feel free to try out the product via our platform or downloading our SDKs, and let us know if you have any questions or feedback. Happy to help!
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