Мне нужно сделать умного ассистента. Вот мой реакт компонент:
import React from 'react';

function App() {


return (
<div style={{ padding: '20px' }}>
<h1>AI Ассистент</h1>
<form>
<input
type="text"
placeholder="Введите сообщение"
style={{ width: '300px', marginRight: '10px' }}
/>
<button type="submit">Отправить</button>
</form>
</div>
);
}

export default App;



Мне нужно добавить функционал используя библиотеку openai в этот компонент (не создавая дополнительных файлов и документов. Все должно юыть в рамках одного компонента)
Строго следуй этой инструкции.
Вот мой ключ АПИ: '<TRUFFLEHOG_REDACTED_OPENAI>'

Step 1: Create an Assistant
An Assistant represents an entity that can be configured to respond to a user's messages using several parameters like model, instructions, and tools.

Create an Assistant
node.js

node.js
import OpenAI from "openai";
const openai = new OpenAI();

async function main() {
const assistant = await openai.beta.assistants.create({
name: "Math Tutor",
instructions: "You are a personal math tutor. Write and run code to answer math questions.",
tools: [{ type: "code_interpreter" }],
model: "gpt-4o"
});
}

main();
Step 2: Create a Thread
A Thread represents a conversation between a user and one or many Assistants. You can create a Thread when a user (or your AI application) starts a conversation with your Assistant.

Create a Thread
node.js

node.js
const thread = await openai.beta.threads.create();
Step 3: Add a Message to the Thread
The contents of the messages your users or applications create are added as Message objects to the Thread. Messages can contain both text and files. There is a limit of 100,000 Messages per Thread and we smartly truncate any context that does not fit into the model's context window.

Add a Message to the Thread
node.js

node.js
const message = await openai.beta.threads.messages.create(
thread.id,
{
role: "user",
content: "I need to solve the equation 3x + 11 = 14. Can you help me?"
}
);
Step 4: Create a Run
Once all the user Messages have been added to the Thread, you can Run the Thread with any Assistant. Creating a Run uses the model and tools associated with the Assistant to generate a response. These responses are added to the Thread as assistant Messages.

You can use the 'create and stream' helpers in the Python and Node SDKs to create a run and stream the response.

Create and Stream a Run
node.js

node.js
// We use the stream SDK helper to create a run with
// streaming. The SDK provides helpful event listeners to handle
// the streamed response.

const run = openai.beta.threads.runs.stream(thread.id, {
assistant_id: assistant.id
})
.on('textCreated', (text) => process.stdout.write('\nassistant > '))
.on('textDelta', (textDelta, snapshot) => process.stdout.write(textDelta.value))
.on('toolCallCreated', (toolCall) => process.stdout.write(\nassistant &gt; ${toolCall.type}\n\n))
.on('toolCallDelta', (toolCallDelta, snapshot) => {
if (toolCallDelta.type === 'code_interpreter') {
if (toolCallDelta.code_interpreter.input) {
process.stdout.write(toolCallDelta.code_interpreter.input);
}
if (toolCallDelta.code_interpreter.outputs) {
process.stdout.write("\noutput >\n");
toolCallDelta.code_interpreter.outputs.forEach(output => {
if (output.type === "logs") {
process.stdout.write(\n${output.logs}\n);
}
});
}
}
});