Velvet
About Velvet
Velvet is an AI gateway for engineers, enabling them to log and optimize requests to their databases seamlessly. With straightforward onboarding, users can gain insights, run experiments, and improve feature performance with minimal code. Enjoy full data ownership while leveraging powerful caching and deep analytics.
Velvet offers a free tier providing up to 10,000 requests monthly, allowing users to explore its features. As you scale, flexible pricing plans allow for increased requests and advanced functionalities. Get started without any cost and see how Velvet can enhance your AI capabilities effortlessly.
Velvet features a clean and user-friendly interface, promoting easy navigation through its tools. The design prioritizes clarity, enabling engineers to access logging and optimization functionalities effortlessly. With intuitive layouts and quick access to resources, Velvet enhances user experience while monitoring AI features efficiently.
How Velvet works
Users interact with Velvet by creating an account, setting their base URL to Velvet's gateway, and optionally connecting their PostgreSQL database. By adding just two lines of code, users can start logging requests to improve and optimize their AI features. The structured data helps users analyze usage, implement caching, and run experiments, driving efficient engineering processes.
Key Features for Velvet
AI Request Logging
Velvet's AI Request Logging allows engineers to warehouse every request to their PostgreSQL database, providing comprehensive visibility into API interactions. By using Velvet, teams can analyze and evaluate usage, thereby optimizing AI outputs and fine-tuning models effectively.
Cost Optimization
Velvet’s Cost Optimization feature enables users to implement caching and batching, drastically reducing operational costs and latency. By leveraging built-in proxy support, engineers gain transparency into request handling, ensuring efficient usage of OpenAI's Batch and Files APIs without unnecessary expenses.
Experimentation Framework
The Experimentation Framework of Velvet allows engineers to run tests on various datasets, optimizing AI outputs at scale. Users can easily select datasets for one-off or continuous experiments, testing models and settings to improve performance while streamlining the development workflow.
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