Test and validate AI Agent Studio workflows with ATLAS

AI Agent Studio Testing and Lifecycle Automation Suite (ATLAS) now provides repeatable, source-controlled regression testing for workflow and agentic application builders who create and maintain AI Agent Studio artifacts. You can use ATLAS's record-once, replay-anywhere approach to capture user scenarios, replay data, expected workflow routes, and validation checks. You can also run the same tests locally, in continuous integration (CI), or when comparing model configurations.

ATLAS captures external data-producing nodes and workflow-boundary nodes while the rest of the workflow runs. You can test routing, orchestration, transformations, prompts, grounding, final responses, output contracts, and application-facing actions without depending on changing live data for each test run. 

ATLAS supports deterministic checks for expected routes, fixed outputs, and response contracts, and semantic judging for response quality, grounding, completeness, and flexible language. Test reports provide information about failures, warnings, quality results, runtime, latency, and AI Unit usage. You can also use consistent replay data to compare model configurations or run optimization sweeps to identify model placements that meet defined quality, cost, token, and latency requirements.

ATLAS helps improve the quality and reliability of AI Agent Studio artifacts by making testing repeatable, evidence-based, and scalable. Teams can use ATLAS to:

  • Prevent regressions by rerunning representative scenarios after workflow, prompt, model, or integration changes.
  • Reduce dependence on live data by replaying recorded test data.
  • Identify issues by using route checks, assertions, replay-data provenance, and reports.
  • Apply deterministic checks or semantic judging based on the validation required for each scenario.
  • Compare model configurations by using consistent scenarios and defined quality, AI Unit, token, and latency requirements.
  • Improve release confidence by using named and tagged test suites as shared validation artifacts for pull requests, releases, and production-readiness reviews.

Steps to enable and configure

You must have access to use AI Agent Studio.

Access requirements

Access Requirements for AI Agent Studio