convertToCoreMessages()

The convertToCoreMessages function is no longer required. The AI SDK now automatically converts the incoming messages to the CoreMessage format.

The convertToCoreMessages function is used to transform an array of UI messages from the useChat hook into an array of CoreMessage objects. These CoreMessage objects are compatible with AI core functions like streamText.

app/api/chat/route.ts
import { openai } from '@ai-sdk/openai';
import { convertToCoreMessages, streamText } from 'ai';
export async function POST(req: Request) {
const { messages } = await req.json();
const result = streamText({
model: openai('gpt-4o'),
messages: convertToCoreMessages(messages),
});
return result.toDataStreamResponse();
}

Import

import { convertToCoreMessages } from "ai"

API Signature

Parameters

messages:

Message[]
An array of UI messages from the useChat hook to be converted

options:

{ tools?: Record<string, Tool> }
Optional configuration object. Provide tools to enable multi-modal tool responses.

Returns

An array of CoreMessage objects.

CoreMessage[]:

Array
An array of CoreMessage objects

Multi-modal Tool Responses

The convertToCoreMessages function supports tools that can return multi-modal content. This is useful when tools need to return non-text content like images.

import { tool } from 'ai';
import { z } from 'zod';
const screenshotTool = tool({
parameters: z.object({}),
execute: async () => 'imgbase64',
experimental_toToolResultContent: result => [{ type: 'image', data: result }],
});
const result = streamText({
model: openai('gpt-4'),
messages: convertToCoreMessages(messages, {
tools: {
screenshot: screenshotTool,
},
}),
});

Tools can implement the optional experimental_toToolResultContent method to transform their results into multi-modal content. The content is an array of content parts, where each part has a type (e.g., 'text', 'image') and corresponding data.