ai-sdk-5

Implement AI SDK v5 patterns for streaming chat with tool calls.

14.6k|2.3k|Updated Aug 24, 2016
One-click install
npx skills add https://github.com/prowler-cloud/prowler --skill ai-sdk-5-prowler-cloud
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-sdk-5
Source: https://github.com/prowler-cloud/prowler/tree/main/skills/ai-sdk-5
Command: npx skills add https://github.com/prowler-cloud/prowler --skill ai-sdk-5-prowler-cloud

SYSTEM DOCUMENTATION & REQUIREMENTS

## What problem does it solve? AI SDK v5 patterns streamline building AI-powered features by providing ready-to-use patterns for chat, streaming, tool calls, and UIMessage structures, reducing boilerplate and accelerating delivery.

## Core Features & Use Cases

  • Supports chat UIs with streaming responses and multi-part UI messages.
  • Enables deterministic tool calls, tool results, and LangChain integration for end-to-end AI workflows.
  • Use Case: quickly prototype AI-enabled features in web apps with robust error handling, modular architecture, and seamless server integration.

### Quick Start Set up AI SDK v5 in your project and begin building a streaming chat experience with tool calls.

Frequently Asked Questions about ai-sdk-5

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

FAQPage Schema
How do I build a streaming chat UI in React with the AI SDK?

AI SDK v5 provides ready-to-use patterns for streaming chat UIs by integrating @ai-sdk/react with server routes to support multi-part UIMessage structures and real-time response completion workflows.

What is the best way to implement tool calls in an AI chat application?

Implementing tool calls in an AI chat application involves using AI SDK v5 patterns to handle deterministic tool execution, capture tool results, and manage end-to-end AI workflows within your server routes.

Can I use LangChain integration with AI SDK v5 for tool execution?

Yes, AI SDK v5 patterns support LangChain integration, allowing you to orchestrate deterministic tool calls, process tool results, and build end-to-end AI workflows within your web application architecture.

How do I handle streaming errors and completions in an AI-powered chat app?

Handling streaming errors and completions in an AI chat app requires AI SDK v5 patterns to manage modular architecture, robust error handling, and seamless server route integration during the response workflow.

Do I need server routes set up to use AI SDK v5 streaming patterns?

Yes, integrating server routes is required to support AI SDK v5 streaming patterns, as they process tool calls, manage UIMessage structures, and deliver streaming responses to the @ai-sdk/react client.