LangSmith is a platform to help developers close the gap between prototype and production. It’s designed for building and iterating on products that can harness the power–and wrangle the complexity–of LLMs.
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LangSmith is a platform to help developers close the gap between prototype and production. It’s designed for building and iterating on products that can harness the power–and wrangle the complexity–of LLMs.
As a custom LLM-based dev company our team use LangChain suite including LangSmith and LangServe, this is a great framework that allows us to deliver LLM-based software fast and easy. I think it's a great and must-have technology to utilize in your next LLM-based software project 💯
I've loved using LangSmith! It's efficient and user-friendly, making it a joy to work with. The platform's comprehensive visibility into the chain sequence of calls simplifies debugging and enhances the development process.
Bit rough around the edges but provides good abstractions to making requests with LLMs. Langgraph is a super handy update.
I've been using LangSmith for a couple of months at our startup and it's been incredibly useful for running ongoing LLM evaluations and for evaluating new features. The Python SDK is handy and we've automated LangSmith evals as part of CI/CD on GitHub to spot regressions. My main struggle with LangSmith has been that the UI can be tricky to work with for larger datasets or datasets with a large experiment history. I would also love for the filters to be persisted in the URL. That way I can send a filtered set of failing examples to someone without having to provide instructions for how to reconstruct it.
Great !!! Congrats @hwchase17 for the launch of LangSmith platform. LangChain is awesome. It helps me build my LLM-based products. I'll give LangSmith platform a try to monitor my apps in production.
?makers, For a while I was in search of a tool that can help me build LLM apps easily — all in one platform! Thanks God Its LangChain. I just got started and its breeze. Keep up the good work for democratising the LLM app development.
