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import { useChat, type Message, UseChatHelpers } from 'ai/react';
import { toast } from 'react-hot-toast';
import { useEffect, useState } from 'react';
import { ChatEntity, MessageBase, SignedPayload } from '../types';
import { saveKVChatMessage } from '../kv/chat';
import { fetcher, nanoid } from '../utils';
import {
getCleanedUpMessages,
generateAnswersImageMarkdown,
generateInputImageMarkdown,
} from '../messageUtils';
import { CLEANED_SEPARATOR } from '../constants';
const uploadBase64 = async (
base64: string,
messageId: string,
chatId: string,
index: number,
) => {
const res = await fetch(
'data:image/png;base64,' + base64.replace('base:64', ''),
);
const blob = await res.blob();
const { signedUrl, publicUrl, fields } = await fetcher<SignedPayload>(
'/api/sign',
{
method: 'POST',
body: JSON.stringify({
id: `${chatId}/${messageId}`,
fileType: blob.type,
fileName: `answer-${index}.${blob.type.split('/')[1]}`,
}),
},
);
const formData = new FormData();
Object.entries(fields).forEach(([key, value]) => {
formData.append(key, value as string);
});
formData.append('file', blob);
const uploadResponse = await fetch(signedUrl, {
method: 'POST',
body: formData,
});
if (uploadResponse.ok) {
return publicUrl;
} else {
throw new Error('Upload failed');
}
};
const useVisionAgent = (chat: ChatEntity) => {
const { messages: initialMessages, id, url } = chat;
const {
messages,
append: appendRaw,
reload,
stop,
isLoading,
input,
setInput,
setMessages,
error,
} = useChat({
api: '/api/vision-agent',
onResponse(response) {
if (response.status !== 200) {
toast.error(response.statusText);
}
},
onFinish: async message => {
const { logs = '', content, images } = getCleanedUpMessages(message);
if (images?.length) {
const publicUrls = await Promise.all(
images.map((image, index) =>
uploadBase64(image, message.id, id ?? 'no-id', index),
),
);
const newContent = publicUrls.reduce((accum, url, index) => {
return accum.replace(
generateAnswersImageMarkdown(index, '/loading.gif'),
generateAnswersImageMarkdown(index, url),
);
}, content);
const newMessage = {
...message,
content: logs + CLEANED_SEPARATOR + newContent,
};
setMessages([
...messages,
/**
* A workaround to fix the issue of the messages been stale state when appending a new message
* https://github.com/vercel/ai/issues/550#issuecomment-1712693371
*/
...(input
? [
{
id: nanoid(),
role: 'user',
content: input + '\n\n' + generateInputImageMarkdown(url),
createdAt: new Date(),
} satisfies Message,
]
: []),
newMessage,
]);
if (id) {
saveKVChatMessage(id, newMessage);
}
} else {
if (id) {
saveKVChatMessage(id, {
...message,
content: logs + CLEANED_SEPARATOR + content,
});
}
}
},
initialMessages: initialMessages,
body: {
url,
id,
},
});
useEffect(() => {
if (
!isLoading &&
messages.length &&
messages[messages.length - 1].role === 'user'
) {
reload();
}
}, [isLoading, messages, reload]);
const assistantLoadingMessage = {
id: 'loading',
content: '...',
role: 'assistant',
};
const messageWithLoading =
isLoading &&
messages.length &&
messages[messages.length - 1].role !== 'assistant'
? [...messages, assistantLoadingMessage]
: messages;
const append: UseChatHelpers['append'] = async message => {
if (id) {
await saveKVChatMessage(id, message as MessageBase);
}
return appendRaw(message);
};
return {
messages: messageWithLoading as MessageBase[],
append,
reload,
stop,
isLoading,
input,
setInput,
};
};
export default useVisionAgent;
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