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LangSmith General Availability — LLM application development, monitoring, and testing
LangSmith is a solution for developing, tracing, debugging, testing, deploying, and monitoring LLM applications. Integrates seamlessly with LangChain, but exposes SDKs for use outside of the LangChain ecosystem as well.
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Going to give this a try, team LangSmith General Availability. Looks interesting.
Been using LangSmith for a while now. An amazing tool for LLM tracing, logging, debugging and much more.
Looks great. Big congratulations on the launch and best of luck to you today. ❤️🦄
Have been using LangSmith for a bit now and love how easy it is to develop, debug, and monitor my LLM application.
Really excited to see LS continue to grow.
I have been using Langsmith on my projects. It is amazing and the best way to debug my LLM application. Huge congratulations on the launch!
Hi Product Hunt Community!
I’m Harrison Chase, Co-Founder & CEO at LangChain. LangChain exists to make it as easy as possible to develop LLM-powered applications. We started with an open-source Python package when the main blocker for building LLM-powered applications was getting a simple prototype working. We remember seeing Nat Friedman tweet in late 2022 that there was “not enough tinkering happening" (https://twitter.com/natfriedman/...). The LangChain open-source packages are aimed at addressing this and we see lots of tinkering happening now — today, LangChain’s flexible abstractions power over 50K apps.
The blocker is different today. While it’s easy to build a prototype of an application in ~5 lines of LangChain code, it’s still deceptively hard to take an application from prototype to production. The main issue that we see today is application performance — something that works ~30% of the time is good enough for a Twitter demo, but not nearly good enough for production. We’ve built LangSmith to solve this problem.
Today, I’m excited to announce the general availability of LangSmith — our solution for LLM application development, monitoring, and testing. We initially launched LangSmith in closed beta in July 2023. Since then, we’ve received invaluable feedback from our early users and customers, and made significant improvements to the platform. We’ve also made heavy investments in our infrastructure to ensure that the platform is able to seamlessly scale to accommodate our rapidly growing user base. LangSmith is now trusted by companies like Rakuten, Elastic, Moody’s, Retool, and more.
I also want to extend my heartfelt thanks to all our users for their support in shaping LangSmith into the platform it is today. Since launching, we’ve seen
- Over 80K signups
- Over 5K monthly active teams
- Over 40 million traces logged in January alone
We learned from our users more about the pain points that are common to building with LLMs, and we’re trying to solve those whether you’re building with LangChain or not.
If you want to see LangSmith for yourself, sign up today: https://smith.langchain.com. We’ve removed the waitlist, so you can get building immediately. I hope you love it.
My co-founder, Ankush Gola, is hosting a webinar today at 12pm PT if you’d like to learn more about LangSmith. You can sign up to tune in here: https://www.crowdcast.io/c/langs....
Feel free to post any feedback or questions here!
Been using LangSmith for a while now, and I've got to say, it's a game-changer for anyone developing with LLMs. The traces feature has been particularly invaluable for us, making debugging and understanding our AI Agent's actions much easier. Without it, we'd be lost in the complexity of LLM applications. LangSmith's comprehensive approach to the LLM development lifecycle, from development and collaboration to testing, deploying, and monitoring, is impressive. The platform's ability to provide full visibility into the sequence of calls has streamlined the way we debug and optimize performance. A must-have for teams working on LLM-powered apps!
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