Velvet
About Velvet
Velvet empowers engineers to leverage AI effectively by providing a seamless experience for logging and analyzing OpenAI and Anthropic API requests. With its innovative two-line setup, users can efficiently monitor usage, evaluate performance, and fine-tune models, addressing key challenges in AI development while ensuring data transparency.
Velvet offers a flexible pricing model starting with a free tier for up to 10k requests per month. Users can access advanced features and support as they upgrade. The platform allows engineers to optimize and analyze their AI requests without incurring initial costs, making it accessible for teams of all sizes.
Velvet presents a user-friendly interface designed for easy navigation and efficient functionality. Its layout facilitates seamless browsing, allowing users to quickly access key features and resources. Unique aspects of Velvet's design enhance usability, ensuring that engineers can maximize the platform's capabilities without unnecessary complexity.
How Velvet works
To get started with Velvet, users create an account and set their base URL to the Velvet gateway. With just two lines of code, engineers can log requests to their PostgreSQL database. They can then analyze and optimize AI API usage, run experiments, and monitor performance, all while enjoying a streamlined onboarding experience.
Key Features for Velvet
Logging Requests
Velvet's logging requests feature enables users to warehouse every API interaction in their PostgreSQL database. This unique aspect allows engineers to gain deep insights into API usage, troubleshoot issues effectively, and optimize their AI features, significantly enhancing their development workflow.
Optimizing Caching
Velvet's intelligent caching system reduces costs and latency by efficiently managing API requests. This key feature enables engineers to optimize their workflows and maximize resource usage, providing them with seamless performance while ensuring transparency in the utilization of OpenAI and Anthropic APIs.
Experimentation Framework
The experimentation framework in Velvet allows users to run controlled tests on datasets to optimize AI outputs. This feature is essential for engineers looking to finetune models, compare different prompts, and evaluate settings, thereby enhancing the overall performance and capabilities of their AI systems.
