Develop & deploy AI with confidence
Log requests to your DB, optimize, and run experiments. Just two lines of code to get started.
How it works
Add 2 lines of code to get started
Warehouse every OpenAI and Anthropic request to your PostgreSQL database. Use logs to analyze, evaluate, and generate datasets.
Analyze usage & run experiments
We store a customizable JSON object so you can granularly monitor usage, calculate cost, run evaluations, and fine-tune models.
Optimize with caching & batching
Enable caching to reduce costs and latency. Get full transparency into OpenAI's Batch and Files APIs using our built-in proxy support.
Backend workflows designed for engineers
"We experiment with LLM models, settings, and optimizations. Velvet made it easy to implement logging and caching. And we're storing 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
Full data ownership
Log every request to your database. Secure and compliant.
Granular observability
Store data as JSON to gain deep insights into usage, costs, and more.
Powerful analysis
Understand API usage to optimize AI features and resolve problems.
Intelligent caching
Reduce costs and latency with our smart caching system.
Experiment framework
Run experiments on test datasets to optimize outputs at scale.
Dataset generation
Export datasets for fine-tuning models and other batch 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