Deployments

Take control of your AI release lifecycle—spin up dedicated environments, plug Adaline straight into your code, watch live usage metrics, and undo changes with a single click.

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Simplify and Safeguard Your AI Deployment Workflow

Environments

Environments

Dedicated Environment Management

Keep your deployments neatly organized across Production, Staging, Experimental—and any custom sandbox you need. Quickly search, view, and spin up new environments so you can test safely without ever impacting live traffic.

Easy Code Integration

Easy Code Integration

Developer-Friendly API

Add Adaline via one npm command and configure your .env. Import the client, instantiate with your deployment UUID, and call prompt.run(). That’s it—LLM evaluation lives right in your code.

Monitor Usage

Monitor Usage

Real-Time Usage Monitoring

Watch your prompt calls in action with live charts showing usage over the last 30 minutes. Quickly grab Environment and Deployment IDs for seamless debugging and integration.

Roll Back

Roll Back

One-Click Rollback

Browse your full deployment history, complete with timestamps and environment tags. Pick any previous snapshot and restore it instantly—no manual diffs or config juggling.

FAQs