Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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.

Description

Llama Stack is an innovative modular framework aimed at simplifying the creation of applications that utilize Meta's Llama language models. It features a client-server architecture with adaptable configurations, giving developers the ability to combine various providers for essential components like inference, memory, agents, telemetry, and evaluations. This framework comes with pre-configured distributions optimized for a range of deployment scenarios, facilitating smooth transitions from local development to live production settings. Developers can engage with the Llama Stack server through client SDKs that support numerous programming languages, including Python, Node.js, Swift, and Kotlin. In addition, comprehensive documentation and sample applications are made available to help users efficiently construct and deploy applications based on the Llama framework. The combination of these resources aims to empower developers to build robust, scalable applications with ease.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
ChatGPT Yes 
Codestral Mamba Yes 
Gemini Yes 
Gemini 1.5 Pro Yes 
Gemini 2.0 Yes 
Gemini Nano Yes 
Google AI Plus Yes 
Groq Yes 
Hugging Face Yes 
LangChain Yes 
Mathstral Yes 
Microsoft Azure Yes 
Ministral 8B Yes 
Mistral 7B Yes 
OpenAI Yes 
Pixtral Large Yes 
Python Yes 
TypeScript Yes 

Integrations

Amazon Web Services (AWS) No 
ChatGPT No 
Codestral Mamba No 
Gemini No 
Gemini 1.5 Pro No 
Gemini 2.0 No 
Gemini Nano No 
Google AI Plus No 
Groq No 
Hugging Face No 
LangChain No 
Mathstral No 
Microsoft Azure No 
Ministral 8B No 
Mistral 7B No 
OpenAI No 
Pixtral Large No 
Python No 
TypeScript No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Literal AI

Country

United States

Website

www.literalai.com

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

github.com/meta-llama/llama-stack

Product Features

Alternatives

Alternatives

DeepEval Reviews

DeepEval

Confident AI