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ai-sdk

Explain AI SDK usage for agents, chatbots, tool loops, and embeddings.

3|Updated Jan 20, 2026
Search Tags:#typescript#integration#ai#agents#tools#ai-sdk#useChat
One-click install
npx skills add https://github.com/prefactordev/typescript-sdk --skill ai-sdk-prefactordev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/prefactordev/typescript-sdk/tree/main/.agents/skills/ai-sdk
Command: npx skills add https://github.com/prefactordev/typescript-sdk --skill ai-sdk-prefactordev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers face fragmented tooling and outdated APIs when building AI-powered features, making integration slow and risky. This skill provides targeted guidance for effectively using the AI SDK to implement agents, chatbots, and tool-driven workflows with current best practices.

Core Features & Use Cases

  • API guidance for generateText, streamText, ToolLoopAgent, embed, and tools, plus safe usage patterns.
  • Patterns and templates for building AI agents, chatbots, RAG systems, and text-generation features.
  • Quick-start prompts and real-world scenarios to accelerate integration and value delivery.

Quick Start

Ask how to implement an AI-powered feature using the AI SDK with the 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 build AI agents with TypeScript using the AI SDK?▼

You can build AI agents with the AI SDK using TypeScript by implementing tool-driven workflows with generateText, streamText, and ToolLoopAgent APIs. The SDK provides patterns and templates for creating agents, chatbots, and tool loops to automate complex AI tasks.

What's the best way to integrate a chatbot using the useChat hook?▼

The best way to integrate a chatbot is using the useChat hook alongside the streamText API within the AI SDK. This combination provides current API guidance and safe usage patterns for building responsive chatbot interfaces and managing conversational state.

Does the AI SDK support RAG systems and text embeddings?▼

Yes, the AI SDK supports RAG systems and text embeddings through the embed API. It offers targeted patterns and templates to implement retrieval-augmented generation, allowing you to generate text based on embedded document contexts.

Can I connect AI-powered features to an AI Gateway?▼

You can connect AI-powered features to an AI Gateway by following the SDK's integration guidance for model selection and usage. It provides quick-start prompts and real-world scenarios to accelerate safe routing and value delivery through the gateway.

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