Orbit
A CI-Style Testing Tool for AI Correctness, Safety, and Cost
What is Orbit?
Orbit is a testing tool designed to help teams verify that AI models behave correctly, safely, and cost-effectively. It works like continuous integration for AI systems, running automated tests on your models to catch problems before they reach production. The tool focuses on three main areas: checking that outputs meet your requirements (correctness), identifying potentially harmful or unwanted behaviour (safety), and monitoring how much you're spending on API calls and compute (cost). Orbit suits teams building applications with large language models or other AI systems who want to maintain quality standards without manual testing at every deployment.
Key Features
Test automation
Write and run tests against AI model outputs programmatically
Safety checks
Screen outputs for harmful content, policy violations, or unintended behaviour patterns
Cost monitoring
Track token usage and API spending across your AI applications
CI/CD integration
Embed testing into your deployment pipeline to catch issues early
Correctness validation
Verify that model outputs match expected formats and requirements
Pros & Cons
Advantages
- Addresses the specific challenge of testing AI systems, which produce variable outputs
- Freemium model lets you start without upfront costs
- Integrates with existing development workflows via CI/CD
- Helps control runaway AI costs by exposing usage patterns
Limitations
- Still a young tool, so community resources and integrations may be limited compared to established alternatives
- Requires some technical setup to integrate with your development environment
Use Cases
Testing chatbot outputs for brand-appropriate tone and factual accuracy before users see them
Monitoring cost increases when rolling out AI features to a larger user base
Validating that content moderation APIs reject harmful inputs consistently
Ensuring prompt changes don't degrade model behaviour
Running regression tests on AI-powered search or recommendation systems