Google DeepMind Engineer Ivan Leo Introduces Gemini Interactions API and Managed Agents
At the AI Engineer World's Fair 2026, Ivan Leo, a Developer Experience Engineer at Google DeepMind, introduced the Gemini Interactions API and Managed Agents. He traced the evolution from single completions to agents, demonstrating server-side state management, multimodal outputs, and cloud-based sandbox execution.
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Ivan Leo, a Developer Experience Engineer at Google DeepMind, introduced the Gemini Interactions API and Managed Agents in his talk at the AI Engineer World's Fair 2026. This video resource is suitable for engineering teams focused on the evolution of AI agent infrastructure.
In the presentation, Leo traced the development path from single completions to function calling and then to agents, explaining why agent workloads require a different API shape. He highlighted server-side state management via interaction IDs, strongly typed multimodal outputs, and methods for mixing built-in and custom tools.
Additionally, Leo demonstrated how Managed Agents run the Antigravity framework in a persistent remote sandbox, covering features such as environment IDs, loadable sources, credential-injecting proxies, and named agents. He also introduced the open-source Gemini API CLI and its migration skills.