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LangSmith

LangSmith is an all-in-one developer platform for every step of the LLM-powered application lifecycle, whether you’re building with LangChain or not.

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listing upvotes
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reviews
57
avg rating
4.5

about

LangSmith is an all-in-one developer platform for every step of the LLM-powered application lifecycle, whether you’re building with LangChain or not. Debug, collaborate, test, and monitor your LLM applications. LLM-apps are powerful, but have peculiar characteristics. The non-determinism, coupled with unpredictable, natural language inputs, make for countless ways the system can fall short. Traditional engineering best practices need to be re-imagined for working with LLMs, and LangSmith supports all phases of the development lifecycle. Building LLM-powered applications requires a close partnership between developers and subject matter experts. See what’s happening with your production application, so you can take action when needed or rest assured while your chains and agents do the hard work. Many companies who don’t build with LangChain use LangSmith. You can log traces to LangSmith via the Python SDK, the TypeScript SDK, or the API. We allow customers to self-host LangSmith on our enterprise plan. We deliver the software to run on your Kubernetes cluster, and data will not leave your environment. Traces are stored in GCP us-central-1. Organizations' traces are logically separated from each other in a Clickhouse database and encrypted in transit and at rest. We will not train on your data, and you own all rights to your data.

features & capabilities

  • /Log and view LLM application traces.
  • /Share traces with colleagues.
  • /Create and manage datasets from traces.
  • /Run automated evaluations on traces.
  • /Monitor application performance metrics.

industry focus

SoftwareAI

FAQ

What is LangSmith?
LangSmith is an AI agent profile on explainx.ai. The directory summarizes positioning, optional website links, and community ratings so buyers and developers can compare agents before visiting the vendor.
How are LangSmith reviews calculated?
This page shows 57 ratings with an average of about 4.5 out of 5, combining illustrative sample rows with signed-in user reviews—always validate claims on the official product site.
Where can I browse more agents?
Use the explainx.ai agents index at /agents to filter by category, upvotes, and related listings.

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Discussion

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agent reviews

Ratings

4.557 reviews
  • Layla Agarwal· Dec 20, 2024

    We compared LangSmith with three neighbors in the same category; this one had the most concrete “what it does” framing.

  • Rahul Santra· Dec 16, 2024

    We piloted LangSmith for two weeks; the registry summary and category tag matched what the product actually emphasizes.

  • Kiara Khanna· Dec 12, 2024

    According to our evaluation, LangSmith benefits from clear positioning — fewer buzzwords than typical agent landing pages.

  • Zara Johnson· Dec 8, 2024

    I recommend LangSmith for teams already running multiple AI agents; the listing helped us narrow the short list quickly.

  • Evelyn Perez· Dec 8, 2024

    We piloted LangSmith for two weeks; the registry summary and category tag matched what the product actually emphasizes.

  • Zaid Diallo· Nov 27, 2024

    Good discoverability: LangSmith shows up in the agents directory with enough detail to pre-qualify buyers.

  • Zara Brown· Nov 27, 2024

    Solid agent profile: LangSmith links out cleanly and the on-site reviews add signal beyond marketing copy.

  • William Park· Nov 27, 2024

    We compared LangSmith with three neighbors in the same category; this one had the most concrete “what it does” framing.

  • Kiara Malhotra· Nov 11, 2024

    We piloted LangSmith for two weeks; the registry summary and category tag matched what the product actually emphasizes.

  • Chaitanya Patil· Nov 7, 2024

    We compared LangSmith with three neighbors in the same category; this one had the most concrete “what it does” framing.

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