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ai-sdk

Guide AI SDK implementation with verified APIs for streaming and tool calling.

7|2|Updated Feb 25, 2026
Search Tags:#tool calling#agents#streaming#structured output#vercel ai sdk#ai gateway#usechat
One-click install
npx skills add https://github.com/wenerme/ai --skill ai-sdk-wenerme
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/wenerme/ai/tree/main/skills/ai-sdk
Command: npx skills add https://github.com/wenerme/ai --skill ai-sdk-wenerme

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The AI SDK Skill helps you build AI-powered features safely and accurately by guiding you to the correct, up-to-date APIs for text generation, streaming, tool-calling, and structured outputs.

Core Features & Use Cases

  • Correct AI SDK usage: Helps answer questions about core APIs like generateText and streamText, plus agent tooling such as ToolLoopAgent.
  • Reliable development workflow: Enforces local-doc/source verification, discourages outdated memory-based API usage, and recommends typechecking.
  • Frontend integration guidance: Covers React hooks (useChat/useCompletion) and the updated streaming/UI message patterns for tool invocations and state handling.

Quick Start

Ask: "How do I implement tool calling with useChat in the AI SDK, including the correct typed tool-part handling and model selection via AI Gateway?"

Frequently Asked Questions about ai-sdk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement tool calling with useChat in the Vercel AI SDK?▼

To implement tool calling with useChat in the Vercel AI SDK, use updated streaming and UI message patterns for typed tool-part handling and state management. Verify current APIs from local node_modules/ai docs to ensure correct frontend integration.

What is the best way to stream structured output using the Vercel AI SDK?▼

Streaming structured output with the Vercel AI SDK involves using core APIs like streamText alongside updated patterns like toUIMessageStreamResponse. Always verify current API usage from ai-sdk.dev rather than relying on outdated memory-based patterns.

Does the Vercel AI SDK support multiple model providers like OpenAI and Anthropic?▼

Yes, the Vercel AI SDK supports provider-backed models across OpenAI, Anthropic, and Google. You can use the AI Gateway for model and provider selection when integrating text generation, RAG, embeddings, and agent tooling.

How do I build AI agents with the Vercel AI SDK?▼

Building AI agents with the Vercel AI SDK involves using agent tooling such as ToolLoopAgent and generateText. It guides you in safely orchestrating multi-step tool calls and structured outputs while enforcing local-doc verification and typechecking.

Why does my Vercel AI SDK streaming response not work correctly?▼

Streaming responses fail when using outdated memory-based APIs instead of updated patterns like toUIMessageStreamResponse. Verify current APIs from node_modules/ai docs, ensure correct typed tool-part handling, and run typechecking to resolve issues.

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