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cv usk
@cv_usk
AI / Software Research Notes AI Agent, LLMOps, MLOps, Software Architecture 投稿は個人の意見です。
参加 May 2026
280 フォロー中    415 ファン
# Antigravity Features and Practical Usage 🚀 One API call to spin up an agent that writes code, runs it, and browses the web. That is what the SDK and Managed Agents make real. 📌 Title and Feature URL Title: SDK / Managed Agents URL: 📝 Overview The Antigravity SDK gives you programmatic access to the same agent harness that powers Google's products. Managed Agents, offered as a capability inside the Gemini API, let you spin up an agent in an isolated Linux environment with a single API call—where it reasons, uses tools, and executes code. 🔧 How It Works The SDK and Managed Agents turn agents into embeddable building blocks: - Isolated execution: each interaction creates a dedicated sandbox where code runs separately and safely. - Stateful, persistent environments: an environment can be resumed in follow-up calls with all files and state intact, so multi-turn work continues without reinitializing. - Custom agent definitions: you describe behavior in markdown files and can start fast from templates in the Google AI Studio Playground. - The underlying model is Gemini 3.5 Flash, optimized for concurrent execution, and integrates with the Interactions API and AI Studio. 🛠 Practical Usage - Call Managed Agents through the Gemini API to launch an agent environment in a single call. - Use the SDK to define custom agent behaviors and host them on the infrastructure of your choice. - Build on the custom agent templates in the AI Studio Playground and extend them for your use case. - Resume a prior environment to keep its files and working state across turns. 🎯 Use Cases - Spin up a sandboxed agent in one call to build a deployment-automation agent. - Embed backend workflows that involve code execution, file operations, and web browsing into internal tools. - Use stateful environments to run multi-turn research or build tasks continuously. - Host SDK-defined agents on your own infrastructure to match operational requirements. ⚠️ Caveats - Managed Agents is a Gemini API surface, so it requires an API key and a billing-enabled project. - Because each interaction creates an environment, design with sandbox lifecycle and cost in mind. - Since agents run code and browse the web, do not skip permission scoping and input validation. #Antigravity# #Agents#
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