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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 Confident AI?

Confident AI has launched an open-source resource called DeepEval, aimed at enabling engineers to evaluate or "unit test" the results generated by their LLM applications. In addition to this tool, Confident AI offers a commercial service that streamlines the logging and sharing of evaluation outcomes within companies, aggregates datasets used for testing, aids in diagnosing less-than-satisfactory evaluation results, and facilitates the execution of assessments in a production environment for the duration of LLM application usage. Furthermore, our offering includes more than ten predefined metrics, allowing engineers to seamlessly implement and apply these assessments. This all-encompassing strategy guarantees that organizations can uphold exceptional standards in the operation of their LLM applications while promoting continuous improvement and accountability in their development processes.

Media

Media

Integrations Supported

AgentForge
Azure Marketplace
Disco.dev
LangChain
LangGraph
Noma
ZenML

Integrations Supported

AgentForge
Azure Marketplace
Disco.dev
LangChain
LangGraph
Noma
ZenML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$39/month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

LangChain

Company Location

United States

Company Website

www.langchain.com/langsmith

Company Facts

Organization Name

Confident AI

Date Founded

2023

Company Location

United States

Company Website

www.confident-ai.com

Categories and Features

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Categories and Features

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