Give Your Agent a Computer — Nico Albanese, Vercel
TL;DR
Nico Albanese demonstrates building AI agents with Vercel's AI SDK 6, introducing the new tool loop agent pattern and three essential building blocks for 2026: agent runtimes, sophisticated tool ecosystems, and sandboxed computer environments for state persistence and code execution.
🏗️ AI SDK 6 & Agent Architecture 3 insights
Global provider eliminates boilerplate
AI SDK 6 introduces a global provider (defaulting to the AI gateway) that enables string-based model IDs without importing specific provider packages, simplifying authentication and multi-model workflows.
Tool loop agent centralizes logic
The new object-oriented `toolLoopAgent` pattern abstracts conversation loop management, allowing developers to define reusable agents in one file rather than scattering 2,000+ lines of logic across API routes.
Three building blocks for production agents
Modern agents require an agent runtime (to manage loops and context), a comprehensive tool ecosystem, and a computer or sandbox environment where the agent can persist state and execute code.
🛠️ Tool Ecosystem & Types 3 insights
Three distinct tool categories
The SDK supports custom tools (user-defined functions with Zod schemas), provider-defined tools (pre-trained capabilities like Anthropic's bash tool), and provider-executed tools (running on vendor infrastructure like OpenAI's web search).
Provider-executed tools enable rapid prototyping
Tools like OpenAI's web search require zero implementation code and execute entirely on provider servers, though they create vendor lock-in compared to custom implementations.
Dynamic UI rendering for tool calls
Developers can render specific UI feedback when agents invoke tools by handling the `tool-[name]` message part convention in the `useChat` hook, keeping users informed during multi-step reasoning.
⚡ Implementation & Developer Experience 2 insights
Streamlined Vercel CLI setup
The workflow uses `vercel link` to connect repositories and automatically pulls environment variables including OIDC tokens for authenticating with the AI gateway and self-sandbox infrastructure.
Framework-agnostic agent definitions
Agents are defined as plain JavaScript objects that can be reused across Next.js, Bun servers, or any runtime, with streaming logic handled separately via `createAgentUIStreamResponse`.
Bottom Line
Adopt Vercel's AI SDK 6 to build agents using the tool loop pattern, separating agent configuration from UI concerns while leveraging provider-executed tools for quick wins and sandboxed computers for stateful, long-running tasks.
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