Velvet
About Velvet
Velvet is designed for engineers working with OpenAI and Anthropic APIs, providing an innovative logging system that warehouses every API request into a PostgreSQL database. By leveraging these logs, users can analyze and fine-tune their AI features, enhancing efficiency while reducing operational costs.
Velvet offers a free tier for up to 10,000 requests per month, allowing users to explore its capabilities without any commitment. Upgrading to paid tiers unlocks additional features, increased usage limits, and premium support, offering excellent value tailored to meet the needs of growing engineering teams.
Velvet features a user-friendly interface that ensures an optimal browsing experience. The layout is intuitive, enabling easy navigation through logs, data storage, and experiment frameworks. Unique functionalities like smart caching and customizable logging enhance usability, making Velvet a robust tool for engineers.
How Velvet works
Users engage with Velvet by first creating an account and accessing comprehensive documentation. The onboarding process involves setting the base URL to Velvet's gateway and connecting to either Velvet's database or their own. With just two lines of code, users can start logging requests, optimizing features, and conducting experiments. The platform's design enables engineers to seamlessly analyze and evaluate their AI models through insightful logs and enhanced observability.
Key Features for Velvet
Logging API Requests
Velvet's logging feature is crucial for engineers, capturing every API request to a PostgreSQL database. This allows in-depth analysis and evaluation of AI models, providing essential insights to optimize performance. By leveraging these logs, users can fine-tune their features effectively and with confidence.
Smart Caching System
Velvet implements a smart caching system that reduces latency and operational costs. This feature allows users to handle repeated requests efficiently, ensuring swift responses to identical queries. With Velvet’s intelligent caching, engineers gain significant performance benefits and improved cost management for their AI operations.
Experiment Framework
The experiment framework within Velvet empowers engineers to run targeted tests on their AI models. Users can select specific datasets to evaluate performance, enabling a structured approach to optimize outputs at scale. This feature enhances the analytical capabilities of Velvet, supporting innovation and model fine-tuning.
FAQs for Velvet
How does Velvet enhance AI feature optimization?
Velvet elevates AI feature optimization by offering comprehensive logging that tracks API requests. Engineers can utilize the stored logs to analyze usage patterns, assess performance, and fine-tune models. This allows for informed decisions, ultimately leading to improved functionality and a more effective AI integration.
What steps are required to get started with Velvet?
Getting started with Velvet is simple: visit usevelvet.com/register to create an account, read the documentation for setup instructions, and integrate the Velvet gateway by configuring your base URL. With just two lines of code, users can begin logging requests and optimizing their AI features effortlessly.
How does Velvet provide insights into API usage?
Velvet delivers insights into API usage by storing each request in a PostgreSQL database. This structured logging allows engineers to query historical data, understanding usage trends and costs. Such granularity enables teams to troubleshoot issues proactively, making informed adjustments to optimize their AI applications.
What competitive advantages does Velvet offer engineers?
Velvet stands out with its seamless integration for logging OpenAI and Anthropic requests, providing engineers with an easy-to-implement solution for optimizing AI features. Its unique ability to warehouse requests in a customizable JSON format ensures deep insights into usage, cost evaluation, and model fine-tuning, making it invaluable.
What specific benefits does Velvet provide to users?
Velvet offers numerous benefits, including cost reduction through smart caching, deep usage insights via detailed logs, and an easy onboarding process with minimal code. These features help engineers streamline their AI workflows, enhance model performance, and save both time and resources during development.
How does Velvet improve user interaction and experience?
Velvet enhances user interaction through its intuitive, user-friendly design that makes navigating logs and settings straightforward. With advanced features like smart caching and a robust experiment framework, users can easily optimize their workflows, leading to a more productive and satisfying experience while managing AI integrations.
