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Description

LMCache is an innovative open-source Knowledge Delivery Network (KDN) that functions as a caching layer for serving large language models, enhancing inference speeds by allowing the reuse of key-value (KV) caches during repeated or overlapping calculations. This system facilitates rapid prompt caching, enabling LLMs to "prefill" recurring text just once, subsequently reusing those saved KV caches in various positions across different serving instances. By implementing this method, the time required to generate the first token is minimized, GPU cycles are conserved, and throughput is improved, particularly in contexts like multi-round question answering and retrieval-augmented generation. Additionally, LMCache offers features such as KV cache offloading, which allows caches to be moved from GPU to CPU or disk, enables cache sharing among instances, and supports disaggregated prefill to optimize resource efficiency. It works seamlessly with inference engines like vLLM and TGI, and is designed to accommodate compressed storage formats, blending techniques for cache merging, and a variety of backend storage solutions. Overall, the architecture of LMCache is geared toward maximizing performance and efficiency in language model inference applications.

Description

Promptfoo proactively identifies and mitigates significant risks associated with large language models before they reach production. The founders boast a wealth of experience in deploying and scaling AI solutions for over 100 million users, utilizing automated red-teaming and rigorous testing to address security, legal, and compliance challenges effectively. By adopting an open-source, developer-centric methodology, Promptfoo has become the leading tool in its field, attracting a community of more than 20,000 users. It offers custom probes tailored to your specific application, focusing on identifying critical failures instead of merely targeting generic vulnerabilities like jailbreaks and prompt injections. With a user-friendly command-line interface, live reloading, and efficient caching, users can operate swiftly without the need for SDKs, cloud services, or login requirements. This tool is employed by teams reaching millions of users and is backed by a vibrant open-source community. Users can create dependable prompts, models, and retrieval-augmented generation (RAG) systems with benchmarks that align with their unique use cases. Additionally, it enhances the security of applications through automated red teaming and pentesting, while also expediting evaluations via its caching, concurrency, and live reloading features. Consequently, Promptfoo stands out as a comprehensive solution for developers aiming for both efficiency and security in their AI applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Cake AI
Claude
Netguru Omega
OpenAI

Integrations

Cake AI
Claude
Netguru Omega
OpenAI

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

LMCache

Country

United States

Website

lmcache.ai/

Vendor Details

Company Name

promptfoo

Country

United States

Website

www.promptfoo.dev/

Product Features

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