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What is LangSmith?

In software development, unforeseen results frequently arise, and having complete visibility into the entire call sequence allows developers to accurately identify the sources of errors and anomalies in real-time. By leveraging unit testing, software engineering plays a crucial role in delivering efficient solutions that are ready for production. Tailored specifically for large language model (LLM) applications, LangSmith provides similar functionalities, allowing users to swiftly create test datasets, run their applications, and assess the outcomes without leaving the platform. This tool is designed to deliver vital observability for critical applications with minimal coding requirements. LangSmith aims to empower developers by simplifying the complexities associated with LLMs, and our mission extends beyond merely providing tools; we strive to foster dependable best practices for developers. As you build and deploy LLM applications, you can rely on comprehensive usage statistics that encompass feedback collection, trace filtering, performance measurement, dataset curation, chain efficiency comparisons, AI-assisted evaluations, and adherence to industry-leading practices, all aimed at refining your development workflow. This all-encompassing strategy ensures that developers are fully prepared to tackle the challenges presented by LLM integrations while continuously improving their processes. With LangSmith, you can enhance your development experience and achieve greater success in your projects.

What is LangChain?

LangChain is a versatile framework that simplifies the process of building, deploying, and managing LLM-based applications, offering developers a suite of powerful tools for creating reasoning-driven systems. The platform includes LangGraph for creating sophisticated agent-driven workflows and LangSmith for ensuring real-time visibility and optimization of AI agents. With LangChain, developers can integrate their own data and APIs into their applications, making them more dynamic and context-aware. It also provides fault-tolerant scalability for enterprise-level applications, ensuring that systems remain responsive under heavy traffic. LangChain’s modular nature allows it to be used in a variety of scenarios, from prototyping new ideas to scaling production-ready LLM applications, making it a valuable tool for businesses across industries.

Media

Media

Integrations Supported

LangGraph
ZenML

Integrations Supported

LangGraph
ZenML
Agent Control
Baz
DataChain
FirstHelm
GuardionAI
IBM watsonx.data
Klee
MyScale
OpenUI
Openlayer
OrcaRouter
Pillar Security
Playwright
SenseLab
Span-01
Unity Catalog
asqav
browserfoundry

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

LangChain

Company Location

United States

Company Website

www.langchain.com/langsmith

Company Facts

Organization Name

LangChain

Date Founded

2022

Company Location

United States

Company Website

www.langchain.com

Categories and Features

AI Development

Not specified

Context Engineering

Not specified

Debugging

Not specified

Software Testing

Not specified

Categories and Features

AI Agent Frameworks

Not specified

AI Automation

Not specified

AI Development

Not specified

AI Orchestration

Not specified

AI SDKs

Not specified

Context Engineering

Not specified

Prompt Engineering

Not specified

Prompt Management

Not specified

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