Velvet
About Velvet
Velvet is an AI gateway for engineers, enabling seamless logging, optimization, and experimentation with AI features. With just two lines of code, users can begin monitoring every request to their database, providing insights that drive improvements in model performance and cost efficiency.
Velvet offers a free plan with up to 10,000 requests per month. Users can get started without cost, with options to upgrade for additional features and higher limits as the needs of their projects grow. Discover value in optimizing AI through our flexible pricing structure.
Velvet's user-friendly interface facilitates effortless navigation, making it easy to log requests and analyze usage data at a glance. The clean design enhances user experience, allowing engineers to access tools and insights quickly, which streamlines workflows and boosts productivity.
How Velvet works
Users begin by registering on Velvet, setting up their environment with just a few easy steps. Once onboarded, they can seamlessly log database requests, monitor usage through customizable JSON objects, and enable caching for reduced costs. Velvet serves as a comprehensive platform for optimizing AI functionalities.
Key Features for Velvet
Request Logging
Velvet's standout feature is its robust request logging capability, storing every OpenAI and Anthropic API request to PostgreSQL. This allows engineers to analyze, evaluate, and even fine-tune AI models effectively, ensuring that data-driven decisions enhance overall performance and efficiency.
Dynamic Experimentation
Velvet provides a dynamic experimentation framework that enables users to run one-off or continuous experiments on test datasets. This feature empowers engineers to optimize AI outputs at scale and generate training sets for fine-tuning models, enhancing overall project efficiency.
Intelligent Caching
The intelligent caching feature of Velvet significantly reduces costs and latency by optimizing API requests. Users enjoy faster response times and decreased expenditure, making it easier to manage resources while ensuring seamless interactions with AI models and features.
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