Streaming AI Responses via Server-Sent Events

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.
Development and maintenance of all types of websites:
Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

Our competencies:
Development stages
Latest works
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1161
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1041
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    822
  • image_crm_chasseurs_493_0.webp
    CRM development for Chasseurs
    847
  • image_website-sbh_0.png
    Website development for SBH Partners
    999
  • image_website-_0.png
    Website development for Red Pear
    451

Streaming AI Responses via Server-Sent Events (SSE)

Stream LLM responses token-by-token to browsers for real-time, responsive UX. No need to wait for complete response generation.

Server Implementation

import OpenAI from 'openai';

const openai = new OpenAI();

export async function POST(request) {
  const { message } = await request.json();

  const stream = await openai.chat.completions.create({
    model: 'gpt-4o-mini',
    messages: [{ role: 'user', content: message }],
    stream: true,
  });

  return new Response(
    (async function* () {
      for await (const chunk of stream) {
        const content = chunk.choices[0]?.delta?.content || '';
        if (content) {
          yield `data: ${JSON.stringify({ content })}\n\n`;
        }
      }
      yield 'data: [DONE]\n\n';
    })(),
    {
      headers: {
        'Content-Type': 'text/event-stream',
        'Cache-Control': 'no-cache',
      },
    }
  );
}

Client Implementation

async function streamResponse(message, onChunk) {
  const response = await fetch('/api/stream', {
    method: 'POST',
    body: JSON.stringify({ message }),
  });

  const reader = response.body.getReader();
  const decoder = new TextDecoder();
  let fullResponse = '';

  while (true) {
    const { done, value } = await reader.read();
    if (done) break;

    const text = decoder.decode(value);
    const lines = text.split('\n');

    for (const line of lines) {
      if (line.startsWith('data: ')) {
        const data = JSON.parse(line.slice(6));
        if (data.content) {
          fullResponse += data.content;
          onChunk(data.content);
        }
      }
    }
  }

  return fullResponse;
}

React Component

function StreamingChat() {
  const [response, setResponse] = useState('');
  const [streaming, setStreaming] = useState(false);

  async function handleSubmit(message) {
    setResponse('');
    setStreaming(true);

    await streamResponse(message, (chunk) => {
      setResponse(prev => prev + chunk);
    });

    setStreaming(false);
  }

  return (
    <div>
      <textarea
        onChange={(e) => handleSubmit(e.target.value)}
        placeholder="Ask something..."
      />
      <div className="response">
        {response}
        {streaming && <span className="cursor">|</span>}
      </div>
    </div>
  );
}

Error Handling

async function robustStream(message, onChunk, onError) {
  try {
    await streamResponse(message, onChunk);
  } catch (error) {
    if (error.name === 'AbortError') {
      onError('Connection interrupted');
    } else {
      onError(`Error: ${error.message}`);
    }
  }
}

Timeline

  • Basic SSE streaming — 1–2 days
  • Error handling + reconnect — 1 day
  • UI polish (cursor, animations) — 1–2 days
  • Performance optimization — 1 day