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ai-sdk

Build AI agents and chat integrations with the AI SDK.

1|Updated Jan 31, 2026
Search Tags:#typescript#react#agents#type-safety#tools#ai-sdk#useChat
One-click install
npx skills add https://github.com/lyzno1/flux --skill ai-sdk-lyzno1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/lyzno1/flux/tree/main/.agents/skills/ai-sdk
Command: npx skills add https://github.com/lyzno1/flux --skill ai-sdk-lyzno1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers quickly adopt and leverage the AI SDK to design and implement AI-powered features, such as agents, chat interfaces, and tool workflows, without guesswork or outdated practices.

Core Features & Use Cases

  • Tool-driven development: define tools with input schemas and deterministic execute functions, then compose them into agents.
  • Type-safe UI integration: seamless use of useChat and InferAgentUIMessage to render and type-check conversations with agents.
  • Use cases: build chatbots, RAG systems, tool-call workflows, and AI-powered components in React or server environments.

Quick Start

Install the ai package, define a simple tool with a small input schema, create a ToolLoopAgent, and render a chat UI with useChat to interact with the agent.

Frequently Asked Questions about ai-sdk

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

FAQPage Schema
How do I build a type-safe AI chat interface in React using the AI SDK?▼

Use the useChat hook combined with InferAgentUIMessage to render and type-check conversations with agents. This pattern ensures type-safe UI integration across React and server contexts when building chat interfaces with the AI SDK.

How do I define tools with input schemas for an AI agent?▼

Define tools by specifying input schemas and deterministic execute functions, then compose them into a ToolLoopAgent. This tool-driven development approach allows you to build reliable tool-call workflows and AI agents with the AI SDK.

What is the best way to create tool-call workflows and agents in TypeScript?▼

The best way to create tool-call workflows is by using the AI SDK to define tools with input schemas and wire them into a ToolLoopAgent. This enforces current SDK patterns and type safety for building AI-powered features in TypeScript.

Can I use the AI SDK to build RAG systems and tool workflows in a server environment?▼

Yes, you can use the AI SDK to build RAG systems, tool-call workflows, and AI-powered components in both React and server environments. The SDK provides patterns like AI Gateway usage and tool definitions suitable for these server contexts.

Why does my AI agent loop fail to execute tools correctly in the AI SDK?▼

Agent tool execution failures often occur when tools are not properly wired into the ToolLoopAgent or lack deterministic execute functions. Ensure your tool definitions use correct input schemas and follow current SDK patterns to resolve execution issues.

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