Velvet

Velvet was designed for engineering teams building AI features who need a way to inspect and improve requests sent to language models. Its gateway proxied OpenAI and Anthropic API calls and stored request data in a database, creating logs teams could analyze and use to build datasets. Engineers could use those logs to review usage and costs, compare models, prompts, and settings in evaluations, and monitor production features for accuracy, latency, and cost. The tools were intended for tasks such as testing model choices and checking AI, retrieval-augmented generation (RAG), and agent workflows. Velvet’s website now directs visitors away from the original service, so the gateway may no longer be available as a standalone product.

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