Overview

Product Information on LangSmith

Updated 13th October 2025

What is LangSmith?

LangSmith is a software designed to support the development, testing, and monitoring of language model applications. The software provides tools for evaluating performance, inspecting outputs, and tracking operations within language-driven systems. LangSmith enables users to analyze model outputs, identify errors, and optimize data flows, facilitating the management of application quality and reliability. By offering instrumentation and debugging capabilities, the software addresses challenges related to building robust and efficient language model-powered applications in business environments.

Overall experience with LangSmith

Sr AI Analyst
250M - 500M USD, Healthcare and Biotech
FAVORABLE

Tracing Tool Enhances Debugging and Dataset Management in LangChain Environments

5.0
Jul 14, 2025
Great LLM tracing tool that works really well with our LangChain setup.
There are no reviews in this category.
CRITICAL

About Company

Company Description

LangChain is centered on simplifying the process of creating LLM applications. The company provides products that assist developers in transitioning from initial ideas to functional code swiftly, thus expediting the application creation period. LangSmith, another creation of LangChain, is designed to aid every facet of the AI engineering lifecycle, lending to a rapid production process for applications.

Company Details

Company type
Private
Head office location
United States
Number of employees
11 - 50

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LangSmith Reviews and Ratings

5.0

(1 Rating)

Rating Distribution

5 Star
100%
4 Star
0%
3 Star
0%
2 Star
0%
1 Star
0%
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Customer Experience

Evaluation & Contracting

0.0

Integration & Deployment

5.0

Service & Support

5.0

Product Capabilities

5.0

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  • Sr AI Analyst
    50M-1B USD
    Healthcare and Biotech
    Review Source

    Tracing Tool Enhances Debugging and Dataset Management in LangChain Environments

    5.0
    Jul 14, 2025
    Great LLM tracing tool that works really well with our LangChain setup.
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