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LangSmith
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Apps (128)

LangSmith

Observing and testing complex LLM applications.

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Starting price Free + from $0.50

Tool Information

LangSmith is a powerful platform designed to help developers build and manage advanced language model applications with ease and confidence.

LangSmith serves as a comprehensive developer platform that introduces a brand new wave of applications. It equips users with a variety of essential tools, including observability, testing, evaluation, and monitoring, specifically tailored for complex language model (LLM) applications.

One of the standout features of LangSmith is its flexible and open-source SDK, which allows developers to easily integrate and adapt it to their specific needs. This means you can add observability and testing functionalities to your LLM apps effortlessly, enabling you to visualize the inputs and outputs at every step. This transparency helps you gain a deeper understanding of how LLMs behave, making it easier to create more advanced applications.

Additionally, LangSmith makes unit testing simple for LLM applications. Developers can quickly set up test datasets, run their applications, and analyze the results—all within the LangSmith environment. The platform encompasses features such as dataset curation, performance comparisons of different chains, AI-assisted evaluations, collaboration tools, and guidelines for best practices.

LangSmith also ensures mission-critical observability, providing crucial application-level statistics, feedback gathering, filtered traces, and metrics for both cost and performance. This real-time monitoring is particularly beneficial, given the unpredictable nature of LLMs, as it helps developers keep tabs on their application's behavior as it runs.

Overall, LangSmith's mission is to empower developers to build and deploy LLM applications confidently. It delivers not just a robust set of tools, but also a framework of best practices that developers can rely on. This platform is ideal for open-source contributors, community members, and software engineers working with LLM technologies.

If you’re interested in trying out LangSmith, you can easily access the beta version by signing up, or you can fill out a form to get early access as an open-source contributor or community member.

Pros and Cons

Pros

  • Collecting feedback
  • Following best practices
  • Creating test datasets
  • Early access for contributors
  • Measuring cost performance
  • App-level usage stats
  • Monitoring in real time
  • Beta version available
  • Works with different setups
  • Randomness of LLMs
  • Observability for LLM apps
  • Comparing chain performance
  • Helping collaboration
  • Open-source SDK
  • Flexible integration
  • Features to filter traces
  • Testing for LLM apps
  • Helps with unit testing

Cons

  • Limited to LLM uses
  • Dataset organization required
  • Uncertainty due to randomness
  • Limited early access
  • Risks of beta version
  • Observability relies on changes
  • Needs clear integration
  • No reference to cross-platform support
  • No separate testing area
  • Depends on flexible changes

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