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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
Evalship assists engineering teams in assessing LLM-driven software by conducting evaluation-suite audits and reviewing pull requests. It meticulously examines scorers and judges for potential errors, spots areas lacking coverage, and highlights evaluations that might yield incorrect outcomes, all while presenting findings complete with code references and recommendations for improvements. The setup process aids a coding agent in configuring GitHub Actions and initiating a setup pull request. For subsequent pull requests, evalship analyzes the outcomes in relation to the default branch, identifying regressions, flaky evaluations, and any modifications to prompts or model calls that lack evaluation coverage, alongside offering a merge-gating status check. It processes results from various supported test runners and LLM evaluation platforms. Evaluations are executed within the customer’s GitHub Actions environment using their specific model API keys, while evalship focuses on reviewing these results rather than carrying out the evaluations itself. In addition to these features, teams can access their evaluation history and obtain weekly performance reports to track progress and improvements over time. This comprehensive approach ensures that software quality remains a top priority throughout the development lifecycle.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
Yes
Claude
Yes
Claude Duet
Yes
Gemini
Yes
Gemini 2.0
Yes
Gemini Pro
Yes
GitHub Actions
No
Google Cloud Platform
Yes
GraphQL
Yes
Hugging Face
Yes
Integrations
Amazon Web Services (AWS)
No
Claude
No
Claude Duet
No
Gemini
No
Gemini 2.0
No
Gemini Pro
No
GitHub Actions
Yes
Google Cloud Platform
No
GraphQL
No
Hugging Face
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$7.60/month
The Team plan is $7.60 per month during the launch offer, 60% off its $19 monthly price for the next 9 accounts. It includes 3 users and 2 private repositories. Additional users cost $2 per month each, and additional repositories cost $10 per month each. A 7-day free trial is offered. Public repositories are free.
Free Trial
Yes
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
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)
Yes
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)
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
Garm Tech B.V.
Founded
2026
Country
Netherlands
Website
evalship.com
