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LangSmith VS SecondStack

Compare LangSmith VS SecondStack and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

LangSmith logo LangSmith

Build and deploy LLM applications with confidence

SecondStack logo SecondStack

Enterprise LLM gateway and self-hosted AI platform: Chat, Code, and Agent workspaces on top of centralized access control, budgets, and usage visibility. An alternative to running LiteLLM plus custom auth, UI, and admin tooling.
  • LangSmith Landing page
    Landing page //
    2023-10-21
  • SecondStack Model selector: OpenAI, Anthropic Claude, and Google Gemini models in one workspace
    Model selector: OpenAI, Anthropic Claude, and Google Gemini models in one workspace //
    2026-07-21

SecondStack gives an entire organization access to AI without handing its data to third-party clouds.

The platform ships three end-user workspaces โ€” Chat for everyday work, Code for engineering teams, and Agent for automation โ€” running on top of an enterprise LLM gateway that connects to the model providers you choose (OpenAI, Anthropic, Google, and others). Platform and security teams manage everything centrally: who can use which models, what each team spends, and where data lives โ€” inside your own infrastructure.

Because SecondStack is self-hosted, prompts, files, and knowledge bases never leave your environment. For teams that prefer not to operate it themselves, a managed deployment run by the SecondStack team is also available.

Pricing is not per-seat, so rolling AI out to the whole company does not multiply the bill. Deployment and operations are backed by an ISO 27001-certified implementation partner.

LangSmith

Website
langchain.com
Pricing URL
-
$ Details
-
Platforms
-
Edit details

SecondStack

Website
secondstack.ai
Pricing URL
Official SecondStack Pricing
$ Details
paid
Platforms
Web Self Hosted
Startup details
Country
United States
Employees
10 - 19
Edit details

LangSmith features and specs

  • Enhanced Workflow Integration
    LangSmith provides seamless integration with existing workflows, allowing for a streamlined process when incorporating language models into various applications.
  • User-Friendly Interface
    The platform features an intuitive and user-friendly interface, making it accessible for both technical and non-technical users to navigate and utilize effectively.
  • Advanced Language Model Support
    LangSmith offers support for a wide range of advanced language models, enabling users to choose the best fit for their specific needs.
  • Comprehensive Analytics
    Users have access to comprehensive analytics tools that allow for detailed monitoring and evaluation of language model performance.

Possible disadvantages of LangSmith

  • Cost Considerations
    Depending on the scale and frequency of use, LangSmith can become costly, potentially making it less accessible for smaller organizations or individual developers.
  • Learning Curve
    While user-friendly, mastering all features of LangSmith may require some time and effort, especially for users who are less experienced with language models.
  • Limited Customization
    Some users might find the customization options for certain aspects of the platform to be limited compared to building a solution in-house.
  • Dependency on Internet Connectivity
    LangSmith, being a cloud-based service, relies heavily on a stable internet connection, which can be a limitation in regions with poor connectivity.

SecondStack features and specs

  • Multi-provider LLM gateway
    One gateway for OpenAI, Anthropic Claude, Google Gemini and other providers you choose
  • Self-hosted deployment
    Runs in your own infrastructure; prompts, files and knowledge bases never leave your environment
  • Access control, budgets and usage visibility
    Central policies for who uses which models, with per-team budgets and cost visibility

Analysis of LangSmith

Overall verdict

  • LangSmith is a valuable tool for developers working in the field of natural language processing or any project involving language models. Its comprehensive toolset for managing and optimizing interactions with LLMs provides a significant advantage, enhancing both productivity and the quality of applications built with it.

Why this product is good

  • LangSmith, the platform from LangChain, offers a suite of tools and features that facilitate building applications powered by language models. It provides capabilities like prompt management, evaluation, and debugging, which are essential for developers working with LLMs. These features make it easier to manage, refine, and optimize the performance of language model applications.

Recommended for

    LangSmith is recommended for AI developers, machine learning engineers, and businesses aiming to build, test, and optimize applications based on language models. It is particularly useful for teams that require robust evaluation tools and a streamlined process for managing and deploying language-driven applications.

LangSmith videos

+ Add

๐Ÿฆœ๐Ÿ› ๏ธ Getting started with LangSmith - Integrating with LANGCHAIN powered Web Applications & Chatbots

SecondStack videos

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Category Popularity

0-100% (relative to LangSmith and SecondStack)

LangSmith

SecondStack

AI
95 95%
AI
5% 5
Developer Tools
99 99%
Developer Tools
1% 1
AI Platform
0 0%
AI Platform
100% 100
Productivity
100 100%
Productivity
0% 0

User comments

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What are some alternatives?

When comparing LangSmith and SecondStack, you can also consider the following products

Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.

liteLLM - One library to standardize all LLM APIs

Helicone AI - Open-source LLM Observability for Developers

Portkey - Build production-grade & reliable AI apps with Portkey

LangChain - Framework for building applications with LLMs through composability

Merlin Unified API - One Super API for all AI models (with 90% less error rates)

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