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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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.

Description

Literal AI is a collaborative platform crafted to support engineering and product teams in the creation of production-ready Large Language Model (LLM) applications. It features an array of tools focused on observability, evaluation, and analytics, which allows for efficient monitoring, optimization, and integration of different prompt versions. Among its noteworthy functionalities are multimodal logging, which incorporates vision, audio, and video, as well as prompt management that includes versioning and A/B testing features. Additionally, it offers a prompt playground that allows users to experiment with various LLM providers and configurations. Literal AI is designed to integrate effortlessly with a variety of LLM providers and AI frameworks, including OpenAI, LangChain, and LlamaIndex, and comes equipped with SDKs in both Python and TypeScript for straightforward code instrumentation. The platform further facilitates the development of experiments against datasets, promoting ongoing enhancements and minimizing the risk of regressions in LLM applications. With these capabilities, teams can not only streamline their workflows but also foster innovation and ensure high-quality outputs in their projects.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

LangChain Yes 
AgentForge Yes 
Azure Marketplace Yes 
ChatGPT No 
Codestral No 
Docker No 
Gemini No 
Gemini 1.5 Pro No 
Gemini 2.0 Flash No 
Gemini Pro No 
Google AI Plus No 
GraphQL No 
Mistral 7B No 
Mistral NeMo No 
Noma Yes 
Pixtral Large No 
Python No 
TierZero Yes 
TypeScript No 
Voker Yes 

Integrations

LangChain Yes 
AgentForge No 
Azure Marketplace No 
ChatGPT Yes 
Codestral Yes 
Docker Yes 
Gemini Yes 
Gemini 1.5 Pro Yes 
Gemini 2.0 Flash Yes 
Gemini Pro Yes 
Google AI Plus Yes 
GraphQL Yes 
Mistral 7B Yes 
Mistral NeMo Yes 
Noma No 
Pixtral Large Yes 
Python Yes 
TierZero No 
TypeScript Yes 
Voker No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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) Yes 
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) Yes 
In Person No 

Vendor Details

Company Name

LangChain

Country

United States

Website

www.langchain.com/langsmith

Vendor Details

Company Name

Literal AI

Country

United States

Website

www.literalai.com

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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