Develop & deploy AI with confidence
Analyze, evaluate, & monitor AI features in production. Just two lines of code to get started.
How it works
Just 2 lines of code to get started
Warehouse every model request to your PostgreSQL database. Use logs to analyze, evaluate, and monitor AI features.
Analyze & evaluate models
Store logs for short-term and long-term usage so you can analyze, run experiments, and continuously monitor AI features in production.
Continuous testing & experiments
Replay logs to run experiments, and sample production logs against metrics. Version models in production, and get alerts when your tests fail.
Backend workflows designed for engineers
"We experiment with LLM models, settings, and optimizations. Velvet made it easy to implement logging, caching, and evals. And we're preparing training sets to eventually fine-tune our own models.
"Velvet gives us a source of truth for what's happening between the Revo copilot, and the LLMs it orchestrates. We have the data we need to run evaluations, calculate costs, and quickly resolve issues."
"Our engineers use Velvet daily. It monitors AI features in production, even opaque APIs like batch. The caching feature reduces costs significantly. And, we use the logs to observe, test, and fine-tune."
Flexible infrastructure for scale
Data interoperability
Log queryable requests to your DB. Secure and compliant.
Granular analysis
Query data with SQL to analyze usage, cost, and metrics.
Intelligent caching
Optimize costs and latency with request caching.
Evaluations framework
Replay logs against models, settings, and metrics to run experiments.
Continuous monitoring
Sample logs in production against metrics, get alerts when they fail.
Dataset generation
Prepare datasets for fine-tuning and other training workflows.
Q & A
Articles from Velvet
Why Find AI logs OpenAI requests with Velvet
AI-powered B2B search engine logged 1,500 requests per second.
Create a fine-tuning dataset for gpt-4o-mini
Use Velvet to identify and export a fine-tuning dataset.
Cache LLM requests to reduce latency and costs
Return results in milliseconds and don't waste calls on identical requests.
AI gateway