ai-sdk-5
Vercel AI SDK 5 patterns. Trigger: When building AI features with AI SDK v5 (chat, streaming, tools/function calling, UIMessage parts), including migration from v4.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Breaking Changes from AI SDK 4
// ❌ AI SDK 4 (OLD)
import { useChat } from "ai";
const { messages, handleSubmit, input, handleInputChange } = useChat({
api: "/api/chat",
});
// ✅ AI SDK 5 (NEW)
import { useChat } from "@ai-sdk/react";
import { DefaultChatTransport } from "ai";
const { messages, sendMessage } = useChat({
transport: new DefaultChatTransport({ api: "/api/chat" }),
});
Client Setup
import { useChat } from "@ai-sdk/react";
import { DefaultChatTransport } from "ai";
import { useState } from "react";
export function Chat() {
const [input, setInput] = useState("");
const { messages, sendMessage, isLoading, error } = useChat({
transport: new DefaultChatTransport({ api: "/api/chat" }),
});
const handleSubmit = (e: React.FormEvent) => {
e.preventDefault();
if (!input.trim()) return;
sendMessage({ text: input });
setInput("");
};
return (
<div>
<div>
{messages.map((message) => (
<Message key={message.id} message={message} />
))}
</div>
<form onSubmit={handleSubmit}>
<input
value={input}
onChange={(e) => setInput(e.target.value)}
placeholder="Type a message..."
disabled={isLoading}
/>
<button type="submit" disabled={isLoading}>
Send
</button>
</form>
{error && <div>Error: {error.message}</div>}
</div>
);
}
UIMessage Structure (v5)
// ❌ Old: message.content was a string
// ✅ New: message.parts is an array
interface UIMessage {
id: string;
role: "user" | "assistant" | "system";
parts: MessagePart[];
}
type MessagePart =
| { type: "text"; text: string }
| { type: "image"; image: string }
| { type: "tool-call"; toolCallId: string; toolName: string; args: unknown }
| { type: "tool-result"; toolCallId: string; result: unknown };
// Extract text from parts
function getMessageText(message: UIMessage): string {
return message.parts
.filter((part): part is { type: "text"; text: string } => part.type === "text")
.map((part) => part.text)
.join("");
}
// Render message
function Message({ message }: { message: UIMessage }) {
return (
<div className={message.role === "user" ? "user" : "assistant"}>
{message.parts.map((part, index) => {
if (part.type === "text") {
return <p key={index}>{part.text}</p>;
}
if (part.type === "image") {
return <img key={index} src={part.image} alt="" />;
}
return null;
})}
</div>
);
}
Server-Side (Route Handler)
// app/api/chat/route.ts
import { openai } from "@ai-sdk/openai";
import { streamText } from "ai";
export async function POST(req: Request) {
const { messages } = await req.json();
const result = await streamText({
model: openai("gpt-4o"),
messages,
system: "You are a helpful assistant.",
});
return result.toDataStreamResponse();
}
With LangChain
// app/api/chat/route.ts
import { toUIMessageStream } from "@ai-sdk/langchain";
import { ChatOpenAI } from "@langchain/openai";
import { HumanMessage, AIMessage } from "@langchain/core/messages";
export async function POST(req: Request) {
const { messages } = await req.json();
const model = new ChatOpenAI({
modelName: "gpt-4o",
streaming: true,
});
// Convert UI messages to LangChain format
const langchainMessages = messages.map((m) => {
const text = m.parts
.filter((p) => p.type === "text")
.map((p) => p.text)
.join("");
return m.role === "user"
? new HumanMessage(text)
: new AIMessage(text);
});
const stream = await model.stream(langchainMessages);
return toUIMessageStream(stream).toDataStreamResponse();
}
Streaming with Tools
import { openai } from "@ai-sdk/openai";
import { streamText, tool } from "ai";
import { z } from "zod";
const result = await streamText({
model: openai("gpt-4o"),
messages,
tools: {
getWeather: tool({
description: "Get weather for a location",
parameters: z.object({
location: z.string().describe("City name"),
}),
execute: async ({ location }) => {
// Fetch weather data
return { temperature: 72, condition: "sunny" };
},
}),
},
});
useCompletion (Text Generation)
import { useCompletion } from "@ai-sdk/react";
import { DefaultCompletionTransport } from "ai";
const { completion, complete, isLoading } = useCompletion({
transport: new DefaultCompletionTransport({ api: "/api/complete" }),
});
// Trigger completion
await complete("Write a haiku about");
Error Handling
const { error, messages, sendMessage } = useChat({
transport: new DefaultChatTransport({ api: "/api/chat" }),
onError: (error) => {
console.error("Chat error:", error);
toast.error("Failed to send message");
},
});
// Display error
{error && (
<div className="error">
{error.message}
<button onClick={() => sendMessage({ text: lastInput })}>
Retry
</button>
</div>
)}
Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-02-04
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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