Velvet
About Velvet
Velvet is an innovative AI gateway tailored for engineers leveraging OpenAI and Anthropic APIs. By simplifying logging and optimization of database requests, it empowers users to analyze trends, conduct experiments, and fine-tune models. Experience seamless integration with minimal coding, enhancing efficiency for engineering teams.
Velvet offers a flexible pricing plan with a free tier allowing up to 10k requests per month. Users can create an account at usevelvet.com/register to start, while paid plans provide increased request limits and advanced features. Upgrade for powerful insights and optimized AI performance.
The user interface of Velvet is designed for intuitive navigation and ease of use. Its layout promotes smooth interaction with features such as logging, optimization tools, and experiment frameworks, ensuring users can monitor and analyze AI performance effectively, enhancing productivity for engineering teams.
How Velvet works
To start using Velvet, users create an account and read the documentation for guidance. They then set their baseURL to the Velvet gateway and choose to either utilize Velvet's database or connect their own. Once configured, users can seamlessly log requests, optimize usage, and analyze AI features to make data-driven decisions.
Key Features for Velvet
Customizable Logging
Velvet's customizable logging feature allows users to warehouse every OpenAI and Anthropic request into a PostgreSQL database. This unique capability enables engineers to analyze usage patterns, evaluate performance, and generate necessary datasets, ultimately helping in fine-tuning AI models for enhanced outcomes.
Intelligent Caching
The intelligent caching feature of Velvet significantly reduces costs and latency for API requests. By optimizing data storage and retrieval processes, it ensures a more efficient workflow for engineers. This clever solution enhances performance, making Velvet an essential tool for managing AI workflows effectively.
Experiment Framework
Velvet's experiment framework empowers users to run tests on selected datasets effortlessly. This feature enables continuous optimization of models and settings. By facilitating quick evaluations and adjustments, users can enhance AI performance and achieve better results, making Velvet invaluable for engineering teams.
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