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LangSmith: Best Way to Test LLMs and AI Application

LangSmith: Best Way to Test LLMs and AI Application

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If you're in the world of Language Learning Models (LLMs), you've probably heard of LangSmith. But do you know how it can transform your LLM applications from good to great? This article is your one-stop guide to understanding LangSmith, a platform that offers a plethora of features for debugging, testing, evaluating, and monitoring LLM applications.

Whether you're a seasoned developer or a beginner in the field of LLMs, LangSmith has something for everyone. From its seamless integration with LangChain to its robust Cookbook filled with real-world examples, LangSmith is a game-changer. Let's dive in!

What is LangSmith?

LangSmith is a cutting-edge platform designed to elevate your LLM applications to production-grade quality. But what does that mean? In simple terms, LangSmith is your toolkit for building, testing, and deploying intelligent agents and chains based on any LLM framework. It's developed by LangChain, the same company behind the open-source LangChain framework, and integrates seamlessly with it.

Key Features of LangSmith

  • Debugging and Testing: LangSmith isn't just about building; it's about building right. The platform offers interactive tutorials and a quick start guide to get you up and running. Whether you're coding in Python, TypeScript, or any other language, LangSmith has got you covered.

  • API and Environment Setup: Before you start building, you'll need to set up your environment. LangSmith makes this easy with its API key access and straightforward environment configuration steps. For instance, you can install the latest version of LangChain for your target environment using simple commands like pip install -U langchain.

  • Tracing Capabilities: One of the standout features of LangSmith is its ability to trace code. This is crucial for debugging and improving your applications. You can customize run names, trace nested calls, and much more.

Why Choose LangSmith?

  1. Ease of Use: LangSmith is designed with user-friendliness in mind. The platform offers a range of tutorials and documentation to help you get started.

  2. Versatility: Whether you're working on a small project or a large-scale application, LangSmith is versatile enough to meet your needs.

  3. Community Support: LangSmith has a strong community of developers and experts who are always ready to help. You can join the community forums or even contribute to the Cookbook with your own examples.

By now, you should have a good understanding of what LangSmith is and why it's a valuable asset for anyone working with LLMs. In the next section, we'll delve deeper into how to set up LangSmith and make the most of its features.

Setting Up LangSmith

Setting up LangSmith is a breeze, thanks to its user-friendly interface and well-documented steps. But before you dive in, you'll need an API key for access. Don't worry; getting one is as easy as pie.

Steps to Get Your API Key

  1. Create a LangSmith Account: Head over to the LangSmith website and sign up for an account. You can use various supported login methods.

  2. Navigate to Settings: Once your account is set up, go to the settings page. Here, you'll find the option to create an API key.

  3. Generate API Key: Click on the 'Generate API Key' button, and voila! You have your API key.

Configuring Your Environment

After obtaining your API key, the next step is to configure your runtime environment. LangSmith allows you to do this using simple shell commands. Here's how:

export LANGCHAIN_ENDPOINT=https://api.smith.langchain.com
export LANGCHAIN_API_KEY=<your-api-key>

Replace <your-api-key> with the API key you generated earlier. These commands set up your environment variables, making it easier to interact with LangSmith.

LangSmith Cookbook: Real-world Lang Smith Examples

The LangSmith Cookbook is not just a compilation of code snippets; it's a goldmine of hands-on examples designed to inspire and assist you in your projects. Whether you're a beginner or an expert in the field of Language Learning Models (LLMs), the Cookbook offers a wealth of practical insights into common patterns and real-world use-cases. So, let's dig deeper into what the LangSmith Cookbook has to offer.

What is the LangSmith Cookbook?

The LangSmith Cookbook is a repository that serves as your practical guide to mastering LangSmith. It goes beyond the basics covered in standard documentation, diving into common patterns and real-world scenarios. These recipes empower you to debug, evaluate, test, and continuously improve your LLM applications.

Your Input Matters

The Cookbook is a community-driven resource. If you have insights to share or feel that a specific use-case has been missed, you're encouraged to raise a GitHub issue or contact the LangChain development team. Your expertise shapes this community, making the Cookbook a dynamic and ever-evolving resource.

Key Examples from the Cookbook

Tracing Your Code

LangChain Hub

Testing & Evaluation

TypeScript / JavaScript Testing Examples

Using Feedback

Exporting Data for Fine-tuning

Exploratory Data Analysis

By exploring these examples, you'll gain a comprehensive understanding of LangSmith's capabilities, empowering you to take your LLM applications to the next level. So why wait? Dive into the LangSmith Cookbook and start cooking up some code magic!


LangSmith is not just another tool; it's a comprehensive platform that can take your LLM applications to the next level. From its robust tracing capabilities to its seamless integration with the LangChain Hub, LangSmith offers a range of features designed to make your life easier. And let's not forget the LangSmith Cookbook, a treasure trove of real-world examples and hands-on code snippets. Whether you're just starting out or looking to optimize your existing applications, LangSmith has got you covered.


What does LangSmith do?

LangSmith is a platform designed to help you build, test, evaluate, and monitor LLM applications. It offers a range of features including tracing, API access, and a Cookbook filled with real-world examples.

What is the difference between LangSmith and LangChain?

While LangSmith is focused on building and managing LLM applications, LangChain serves as a framework for developing language models. LangSmith integrates seamlessly with LangChain, offering a unified platform for all your LLM needs.

How do I get access to LangSmith?

To get access to LangSmith, you'll need to sign up for an account on their website. Once registered, you can generate an API key that will allow you to interact with the platform.

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