Define environment variables once and reference them anywhere in a flow, including AI-driven locate and assert steps, now with autocomplete when you're typing a reference.
Gemini models sometimes describe an action in plain text instead of issuing a structured tool call; Donobu now detects and recovers those cases instead of stalling the run.
A new run mode where the agent proposes each action and waits for your approval before executing it, with the ability to switch between supervised and live execution mid-run.
The control panel can now trigger specific tools (like Audit and Assert) directly, and pass a tool-call directive into an in-progress flow.
Set DONOBU_RUN_ID once in CI and every flow produced by that run, across parallel shards and workers, gets grouped under a single identifiable test run.
The HTML test report now supports substring search, filtering by tag, failure mode, or triage status, one-click copy for tags and file paths, and higher-resolution screenshots.
AI failure-triage now runs and reports on its own (grounded in the actual end-state screenshot) instead of only being available as a side effect of an auto-heal attempt.
Sign in to Donobu Studio with your Donobu account and your test runs, flows, and videos sync to Donobu Cloud automatically, so the rest of your team can see results in one place.
Group related tests into named suites you can create, browse, and bulk-manage from the sidebar, with the same sorting, search, and pagination you already use on the main tests table.
Donobu now drives native mobile apps through a first-party Appium-based plugin. Upload an Android .apk or iOS .app build and author flows the same way you would for the web.
Fixed a bug where enabling self-heal in a repo with no playwright.config.ts crashed the re-run step outright, instead of attempting a fix.
The AI Models list now includes Claude Haiku and the newest GPT-5.2 models, giving teams a faster, lower-cost option for high-volume test runs.
