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Description
Rapidly refine your work and deploy with assurance. To ensure confident deployment, assess your prompts using a comprehensive evaluation toolkit that includes context recall, LLM as a judge, latency metrics, and additional tools. Let us take care of intelligent caching and sophisticated integrations to help you save both time and resources. Engage in swift iterations of your prompts within a collaborative environment that accommodates all leading providers, supports variables, offers automatic versioning, and more. Effortlessly create datasets from actual data utilizing Logs, upload your own as a CSV file, or collaboratively construct and modify within your Adaline workspace. Monitor usage, latency, and other important metrics to keep track of your LLMs' health and your prompts' effectiveness through our APIs. Regularly assess your completions in a live environment, observe how users interact with your prompts, and generate datasets by transmitting logs via our APIs. This is the unified platform designed for iterating, evaluating, and overseeing LLMs. If your performance declines in production, rolling back is straightforward, allowing you to review how your team evolved the prompt over time while maintaining high standards. Moreover, our platform encourages a seamless collaboration experience, which enhances overall productivity across teams.
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
Yes
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
No
Docker
No
Gemini
No
Gemini 1.5 Pro
No
Gemini 2.0 Flash
No
Gemini Enterprise
No
Google Cloud Platform
No
Hugging Face
No
LangChain
No
LlamaIndex
No
Integrations
Amazon Web Services (AWS)
Yes
Docker
Yes
Gemini
Yes
Gemini 1.5 Pro
Yes
Gemini 2.0 Flash
Yes
Gemini Enterprise
Yes
Google Cloud Platform
Yes
Hugging Face
Yes
LangChain
Yes
LlamaIndex
Yes
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
Adaline
Website
www.adaline.ai/
Vendor Details
Company Name
Literal AI
Country
United States
Website
www.literalai.com