LangSmith General Availability

What it does

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.

Take agents from prototype to production. LangSmith gives you the tools to build, debug, evaluate, and ship reliable agents.

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  LangSmith2023 · langchain.com · ▲350

  Build and deploy LLM applications with confidence

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  Langtail 1.02024 · langtail.com · ▲495

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  Langfuse2023 · langfuse.com · ▲771

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  Langtail Public Beta2024 · langtail.com · ▲525

  Ship AI apps with fewer surprises

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  LangWatch2024 · langwatch.ai · ▲669

  Founder here. Langy is an AI engineer that lives inside our platform, LangWatch. It reads your production traces, writes Scenario tests and evaluations for the problems it finds, opens a pull request on your repo, and proves the fix by running those simulations in CI. A human still merges. Reachy robot from Hugging Face arrived on the same week we were planing on launching it, so we wanted to use for the launch. So we it wired to our Langy which actually lives on the platform, and asked it to test our own customer-support voice agent. On the video you can see it writing the agent tests…

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  Langfuse – Open-source observability and analytics for LLM apps2023 · github.com · ▲143

  Hi HN! Langfuse is OSS observability and analytics for LLM applications (repo: https://github.com/langfuse/langfuse, 2 min demo: https://langfuse.com/video, try it yourself: https://langfuse.com/demo) Langfuse makes capturing and viewing LLM calls (execution traces) a breeze. On top of this data, you can analyze the quality, cost and latency of LLM apps. When GPT-4 dropped, we started building LLM apps – a lot of them! [1, 2] But they all suffered from the same issue: it’s hard to assure quality in 100% of cases and even to have a clear view…

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