Velvet
About Velvet
Velvet is an innovative AI gateway designed for engineers to effortlessly log database requests, optimize AI features, and run experiments. By simply integrating two lines of code, users gain valuable insights into usage, costs, and performance, making it a must-have tool for data-driven engineering.
Velvet offers a free tier for up to 10,000 requests per month, allowing users to get started without cost. Pricing plans ensure scalability and flexibility, enhancing value at each level. Users can upgrade for increased features and capabilities, making Velvet an attractive choice for growing teams.
Velvet provides a user-friendly interface that promotes smooth navigation through logging, optimization, and experimentation features. Its clear layout and intuitive design enhance user experience, ensuring even those new to AI can easily harness its powerful functionalities.
How Velvet works
Users begin with Velvet by creating an account and setting up their base URL. They then integrate two lines of code to start logging database requests. Once set up, users can analyze usage, optimize AI features with caching, and run experiments, all while receiving detailed feedback on performance.
Key Features for Velvet
Customizable JSON Logging
Velvet's customizable JSON logging feature allows engineers to monitor API usage comprehensively. By storing session data, users can analyze costs and parameters efficiently, facilitating informed decisions to optimize AI performance and troubleshoot issues. This unique functionality positions Velvet as an essential tool for engineers.
Intelligent Caching System
The intelligent caching system in Velvet reduces latency and operational costs by streamlining repetitive requests. This feature allows engineers to enhance response times while maintaining service efficiency. By minimizing unnecessary API calls, Velvet ensures better resource management while optimizing AI application performance.
Experiment Framework
Velvet’s experiment framework enables engineers to run controlled tests on chosen datasets, facilitating model fine-tuning and performance evaluation. By streamlining experimentation, this feature empowers users to directly impact their AI capabilities, making Velvet an invaluable resource for dynamic engineering teams seeking optimized results.
