GEMINI LABJP
SCALE — The Gemini app passed one billion monthly users on August 11. Consumer adoption has settled, and developer attention is shifting to how to build on top of itASSISTANT — Gemini replaces Google Assistant on Android from September 4. Fifteen days out, so apps wired into App Actions or voice shortcuts should be checked nowAGENTS — Managed Agents in the Gemini API entered public preview, letting you build stateful autonomous agents inside a secure Google-hosted environmentENTERPRISE — Gemini Enterprise reached general availability for registering and managing A2UI and A2A agents, moving agent-to-agent wiring out of previewSUNSET — gemini-robotics-er-1.6-preview shuts down on August 31, eleven days out. The replacement is Gemini Robotics ER 2, in public preview since July 30PRICING — Gemini 3.7 Flash went GA on August 13 at an introductory $0.75 per million input tokens and $3.75 output, holding through December 31, 2026SCALE — The Gemini app passed one billion monthly users on August 11. Consumer adoption has settled, and developer attention is shifting to how to build on top of itASSISTANT — Gemini replaces Google Assistant on Android from September 4. Fifteen days out, so apps wired into App Actions or voice shortcuts should be checked nowAGENTS — Managed Agents in the Gemini API entered public preview, letting you build stateful autonomous agents inside a secure Google-hosted environmentENTERPRISE — Gemini Enterprise reached general availability for registering and managing A2UI and A2A agents, moving agent-to-agent wiring out of previewSUNSET — gemini-robotics-er-1.6-preview shuts down on August 31, eleven days out. The replacement is Gemini Robotics ER 2, in public preview since July 30PRICING — Gemini 3.7 Flash went GA on August 13 at an introductory $0.75 per million input tokens and $3.75 output, holding through December 31, 2026
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Gemini API/2026-07-06Advanced

Measure a Managed Agent's Behavior Against Fixed Scenarios Before It Reaches Production

The public-preview Managed Agents run autonomously inside an isolated sandbox, so a small prompt or config change can quietly shift their behavior. Diffing the output once, the way you would for a single prompt, is not enough. Here is how to build a regression harness that runs fixed scenarios repeatedly and judges on pass rate, plus a shadow to canary to full promotion with automatic rollback, all with runnable Python.