58 lines
1.8 KiB
TypeScript
58 lines
1.8 KiB
TypeScript
'use client';
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import AnthropicWebFetchView from '@/component/anthropic-web-fetch-view';
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import ChatInput from '@/component/chat-input';
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import { useChat } from '@ai-sdk/react';
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import { DefaultChatTransport } from 'ai';
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import { AnthropicWebFetchMessage } from '../api/anthropic-web-fetch/route';
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export default function TestAnthropicWebFetch() {
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const { status, sendMessage, messages } = useChat<AnthropicWebFetchMessage>({
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transport: new DefaultChatTransport({
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api: '/api/anthropic-web-fetch',
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}),
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});
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return (
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<div className="flex flex-col py-24 mx-auto w-full max-w-md stretch">
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<h1 className="mb-4 text-xl font-bold">Anthropic Web Fetch Test</h1>
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{messages.map(message => (
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<div key={message.id} className="whitespace-pre-wrap">
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{message.role === 'user' ? 'User: ' : 'AI: '}
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{message.parts.map((part, index) => {
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if (part.type === 'text') {
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return <div key={index}>{part.text}</div>;
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}
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if (part.type === 'tool-web_fetch') {
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return <AnthropicWebFetchView invocation={part} key={index} />;
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}
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if (part.type === 'source-url') {
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return (
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<span key={index}>
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[
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<a
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href={part.url}
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target="_blank"
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rel="noopener noreferrer"
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className="text-sm font-bold text-blue-500 hover:underline"
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>
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{part.title ?? new URL(part.url).hostname}
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</a>
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]
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</span>
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);
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}
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return null;
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})}
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</div>
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))}
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<ChatInput status={status} onSubmit={text => sendMessage({ text })} />
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</div>
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);
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}
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