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What if you can build an Agent with it own computer in a single api call? At my Google I/O talk, I showed how to use Gemini Managed Agents and the new Interactions API to give your AI a secure, hosted Linux sandbox to execute code and manage its...

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Philipp Schmid

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21,769 просмотров • 4 месяцев назад •via X (Twitter)

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Have you tried Gemini Managed Agents? A single API call gives you a cloud sandbox where the Antigravity agent can research, code, and complete tasks. Can try it in the Google AI Studio playground or use our SDK to build agents into your own apps. Lots more on this soon! 😀
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Have you tried Gemini Managed Agents? A single API call gives you a cloud sandbox where the Antigravity agent can research, code, and complete tasks. Can try it in the Google AI Studio playground or use our SDK to build agents into your own apps. Lots more on this soon! 😀

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introducing Managed Agents on the Gemini API - in one API call, you get agent that comes with a remote Linux environment hosted by Google, ready to scale - you can define custom instructions, skills, and tools in Markdown
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Today we are releasing a new Gemini managed agents version with better caching, lower costs, a Files API, and a Credentials API. 📉 Up to 30% lower costs with up to 22% higher cache hits 📁 Files API: Upload, list and download files from sandbox easily 🔐 Credentials API for MCP servers, OAuth2, and 3rd-party APIs as secure egress proxy 🆓 Free tier to experiment in Google AI Studio & Gemini API Start Here:
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"I have an agent. It's on its own system. It's on its own computer. It has access to its own tools. I probably don't give it access to my entire life…it sort of has this sandbox environment." Aaron Levie joined Latent.Space to break down how AI agents will need their own computers and sandboxed environments to work autonomously.
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