ai-sdk

Guide developers through AI SDK core APIs and integration patterns.

12|1|Updated Apr 3, 2024
One-click install
npx skills add https://github.com/getsentry/webvitals.com --skill ai-sdk-getsentry
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/getsentry/webvitals.com/tree/main/.agents/skills/ai-sdk
Command: npx skills add https://github.com/getsentry/webvitals.com --skill ai-sdk-getsentry

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Enables developers to quickly ask questions about the AI SDK, understand APIs, and implement AI-powered features without hunting through outdated docs.

Core Features & Use Cases

  • API guidance: Clarifies current APIs like generateText, streamText, ToolLoopAgent, embed, and tools.
  • Prototyping support: Helps design AI-powered agents, chatbots, RAG systems, and text generation features.
  • Provider awareness: Answers questions about various providers (OpenAI, Anthropic, Google) and streaming strategies.
  • Quick-start patterns: Offers ready-to-use patterns for useChat and useCompletion integration.

Quick Start

Create a simple chat agent using useChat that queries a weather tool.

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 chatbot using useChat and the AI SDK?

To build a chatbot using useChat, the AI SDK provides ready-to-use patterns and core APIs like streamText and generateText to quickly prototype and implement conversational interfaces. It helps verify current APIs and avoid deprecated usage while integrating streaming responses.

What is the best way to add tool integrations to AI agents?

The best way to add tool integrations to AI agents is by utilizing the AI SDK's core APIs like tools and ToolLoopAgent. This approach accelerates building AI-powered features by providing type-safe patterns for connecting agents to external actions.

How do I implement RAG systems using AI SDK embeddings?

To implement RAG systems with AI SDK embeddings, you utilize the embed API alongside core text generation functions. The SDK clarifies current APIs to help build retrieval systems without hunting through outdated documentation.

Does the AI SDK work with different model providers like OpenAI and Anthropic?

Yes, the AI SDK works with different model providers like OpenAI, Anthropic, and Google. It includes provider awareness features that answer questions about various providers and streaming strategies to help select the right fit.

What are the limitations of using deprecated AI SDK APIs?

The limitation of using deprecated AI SDK APIs is that they bypass current safety and type-safety best practices. The SDK requires verifying current APIs like generateText and streamText to ensure AI-powered features remain functional and secure.

When do I need to use streamText instead of generateText?

You need to use streamText instead of generateText when building chatbots or interfaces requiring real-time streaming responses. The AI SDK clarifies these current APIs and streaming strategies to ensure you follow type-safety best practices.