A comprehensive toolkit for building high-performance, streaming chat interfaces with support for tool execution and multi-step reasoning.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install vercel-ai-sdk
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install vercel-ai-sdk using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Vercel AI SDK is a specialized framework designed to streamline the integration of Large Language Models into web applications. It provides developers with robust React hooks like useChat and server-side utilities such as streamText to create seamless, real-time conversational experiences.
By leveraging Openclaw Skills, developers can master the SDK's parts-based architecture, which allows for complex message structures containing text, files, and reasoning traces. This skill ensures your AI integrations are not only responsive but also capable of sophisticated tool calls and data handling, essential for modern AI-driven applications.
To integrate this within your project, install the necessary dependencies and set up your chat hook:
npm install @ai-sdk/react ai
Configure your component:
import { useChat } from '@ai-sdk/react';
const { messages, input, handleInputChange, handleSubmit } = useChat({
api: '/api/chat',
});
The Vercel AI SDK utilizes a UIMessage structure that prioritizes a parts-based architecture for flexibility.
| Attribute | Type | Description |
|---|---|---|
| id | string | Unique identifier for the message |
| role | string | Identity of the sender (system, user, assistant) |
| parts | Array | Specialized content parts: text, file, tool, reasoning |
| metadata | unknown | Optional custom data attached to the message |
| status | string | The lifecycle state: ready, submitted, streaming, error |
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