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AI SDK Examples
Every example here is a complete implementation — API route, client component, and the SDK call in context — not a snippet. Start with the core functions (generateText, streamText, generateObject), then move into the Agent API: loop control with stopWhen, context trimming with prepareStep, structured agent output, and tool-call repair. Examples track the current AI SDK release, with version notes where behavior changed.
AI SDK version notes
These examples track the current AI SDK release. Prefer the Agent API (`ToolLoopAgent`, `stopWhen`, `prepareStep`) over one-off versioned landing pages — version URLs rot as soon as the next major ships.
If you are migrating from older AI SDK majors: structured output moved toward `Output.object()` / schema-first helpers, agent loops expose explicit stop conditions (`stopWhen`, `stepCountIs`), and tool-call repair is a first-class recovery path when the model emits malformed arguments. Open the featured Agent API patterns below for the working shape; skim the pattern READMEs for breaking-change callouts.
Featured patterns
A curated starting point for this topic — open a live preview, then adapt the source.

Generate Text
Generate text from prompts using AI. Simple interface with character counting and response rendering.

Stream Text
Stream text responses from AI prompts in real-time. Includes character counting and live response rendering with useCompletion.

OpenAI Structured Output
Generate structured output from AI prompts using OpenAI. Create typed data with generateText and Output.object().

Loop Control: stopWhen
Demonstrate ToolLoopAgent loop control with stopWhen. Covers stepCountIs, hasToolCall, combined conditions, and a custom StopCondition with step timeline visualization.

PrepareStep: Trim Message History
Demonstrate ToolLoopAgent prepareStep for trimming long message history. Pre-seeded 24-message conversation shows context compression on the first run with per-step trim telemetry.

Tool Call Repair
Repair invalid tool calls using experimental_repairToolCall. Fix schema validation errors without requiring additional steps that pollute message history.

Structured Agent Output: Output.array
Demonstrate structured agent outputs using ToolLoopAgent with Output.array. Returns structured array output with element schema for predictable, type-safe responses.
More patterns
Additional patterns that fit this topic.
Related topics
Continue with adjacent topics that share the same building blocks.
AI Agent Orchestration
7Working orchestration code, not diagrams: routing, sub-agent delegation, parallel fan-out, and orchestrator-worker patterns in TypeScript on the AI SDK. Live previews + full source.
AI Agent Tools
22Give agents real capabilities: tool() definitions with lifecycle hooks, dynamic tools, tool-call repair, web search (Exa, Firecrawl), scraping, PDF ingestion, and human approval gates.
AI Chat Components
10Production React components for AI chat: message threads, streaming responses, reasoning displays, source citations, tool approval cards, and chat input. Tailwind-styled, copy-paste ready.
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