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Description

Confident AI has developed an open-source tool named DeepEval, designed to help engineers assess or "unit test" the outputs of their LLM applications. Additionally, Confident AI's commercial service facilitates the logging and sharing of evaluation results within organizations, consolidates datasets utilized for assessments, assists in troubleshooting unsatisfactory evaluation findings, and supports the execution of evaluations in a production environment throughout the lifespan of LLM applications. Moreover, we provide over ten predefined metrics for engineers to easily implement and utilize. This comprehensive approach ensures that organizations can maintain high standards in the performance of their LLM applications.

Description

Unexpected outcomes are a common occurrence in software development. With complete insight into the entire sequence of calls, developers can pinpoint the origins of errors and unexpected results in real time with remarkable accuracy. The discipline of software engineering heavily depends on unit testing to create efficient and production-ready software solutions. LangSmith offers similar capabilities tailored specifically for LLM applications. You can quickly generate test datasets, execute your applications on them, and analyze the results without leaving the LangSmith platform. This tool provides essential observability for mission-critical applications with minimal coding effort. LangSmith is crafted to empower developers in navigating the complexities and leveraging the potential of LLMs. We aim to do more than just create tools; we are dedicated to establishing reliable best practices for developers. You can confidently build and deploy LLM applications, backed by comprehensive application usage statistics. This includes gathering feedback, filtering traces, measuring costs and performance, curating datasets, comparing chain efficiencies, utilizing AI-assisted evaluations, and embracing industry-leading practices to enhance your development process. This holistic approach ensures that developers are well-equipped to handle the challenges of LLM integrations.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AgentForge No 
Azure Marketplace No 
Disco.dev No 
LangChain No 
LangGraph No 
Noma No 
TierZero No 
Voker No 
ZenML No 

Integrations

AgentForge Yes 
Azure Marketplace Yes 
Disco.dev Yes 
LangChain Yes 
LangGraph Yes 
Noma Yes 
TierZero Yes 
Voker Yes 
ZenML Yes 

Pricing Details

$39/month
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Confident AI

Founded

2023

Country

United States

Website

www.confident-ai.com

Vendor Details

Company Name

LangChain

Country

United States

Website

www.langchain.com/langsmith

Product Features

Software Testing

Automated Testing No 
Black-Box Testing No 
Dynamic Testing No 
Issue Tracking No 
Manual Testing No 
Quality Assurance Planning No 
Reporting / Analytics No 
Static Testing No 
Test Case Management No 
Variable Testing Methods No 
White-Box Testing No 

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