This release brings three things many of you have been asking for: Azure Foundry as an AI engine, transparent and controllable telemetry, and a self-service trial that gets you from sign-up to your first test run with no infrastructure to build. Azure Foundry support for OpenAI a
ATP360 2.0 focuses on three things: more accurate tests at a lower cost per run, clearer visibility into what your tests are doing and what they're costing, and a faster path from deployment to your first test. [[embed: https://www.youtube.com/watch?v=KU4TE87L7ng&feature=yout
One of the biggest challenges with AI-driven workflow testing is managing secrets safely. Test cases will often require secrets, from usernames and passwords to API keys and tokens to login to systems and access data. Traditionally, this can create uncomfortable trade-offs betwee
On the Test Now page the AI Engine Pipeline and CUA Workers list received some UX improvements, making the AI Engine Pipeline UI cleaner and easier to understand. The CUA workers list will no longer grow past the width of the AI Engine Pipeline box & available workers are pla
We’ve introduced the ability to override AI-generated test results, giving users greater control, transparency, and accuracy in their validation workflows. [embed: https://www.youtube.com/watch?v=cyOsNH3vX0g] Users can now manually change a test outcome (pass/fail) and provide an
We’re excited to introduce the first release of ATP360, bringing automated, AI-driven test creation and execution into a single, transparent platform. Here’s what’s available from day one: 🎥 Turn Anything into Test Cases Upload videos, documents, or prompts and instantly convert