Agents

The following section shows you how to build agents with the AI SDK - systems where large language models (LLMs) use tools in a loop to accomplish tasks.

Overview

Learn what agents are, how they manage state, and why to use the ToolLoopAgent.

Building Agents

Create ToolLoopAgent instances with tools, runtime context, and loop control.

Workflow Patterns

Structured patterns using core functions for complex workflows.

Loop Control

Advanced execution control with stopWhen and prepareStep.

Configuring Call Options

Pass type-safe runtime inputs to dynamically configure agent behavior.

Tool Approvals

Review, approve, or deny sensitive tool calls before they execute.

Policy-Based Tool Approvals

Author tool authorization rules as code with @ai-sdk/policy-opa and Open Policy Agent.

Subagents

Delegate context-heavy tasks to specialized subagents while keeping the main agent focused.

WorkflowAgent

Build durable, resumable agents with @ai-sdk/workflow for the Workflow SDK.

Terminal UI

Run ToolLoopAgent instances in an interactive terminal interface.