const response = await fetch('https://api.flaq.ai/api/v1/chat/completions', {
  method: 'POST',
  headers: {
    Authorization: 'Bearer YOUR_API_KEY',
    Accept: 'text/event-stream',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'deepseek-v4-pro-text-to-text-0813',
    messages: [
      {
        role: 'user',
        content: 'Hello'
      }
    ],
    stream: true,
    max_tokens: 500,
    top_p: 0.5,
    top_k: 1
  })
});

if (!response.ok) {
  const errorBody = await response.json().catch(() => null);
  throw new Error(errorBody?.error?.message ?? errorBody?.message ?? `HTTP ${response.status}`);
}

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

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

  buffer += decoder.decode(value, { stream: true });
  const frames = buffer.split(/\r?\n\r?\n/);
  buffer = frames.pop() || '';

  for (const frame of frames) {
    const lines = frame.split(/\r?\n/).filter(Boolean);
    let eventName = 'message';
    const dataLines = [];

    for (const line of lines) {
      if (line.startsWith('event:')) {
        eventName = line.slice(6).trim();
      } else if (line.startsWith('data:')) {
        dataLines.push(line.replace(/^data:\s*/, ''));
      }
    }

    const raw = dataLines.join('\n').trim();
    if (raw === '[DONE]') {
      console.log('\nFinal text:', assistantText);
      continue;
    }

    let payload;
    try {
      payload = JSON.parse(raw);
    } catch {
      continue;
    }

    if (eventName === 'error' || payload.error) {
      const msg = payload.error?.message ?? payload.message ?? 'Chat request failed';
      throw new Error(msg);
    }

    const delta = payload.choices?.[0]?.delta;
    if (delta?.content) {
      assistantText += delta.content;
      console.log(assistantText);
    }
  }
}

import json
import requests

response = requests.post(
    'https://api.flaq.ai/api/v1/chat/completions',
    headers={
        'Authorization': 'Bearer YOUR_API_KEY',
        'Accept': 'text/event-stream',
        'Content-Type': 'application/json',
    },
    json={
        'model': 'deepseek-v4-pro-text-to-text-0813',
        'messages': [
            {
                'role': 'user',
                'content': 'Hello',
            }
        ],
        'stream': True,
        'max_tokens': 500,
        'top_p': 0.5,
        'top_k': 1,
    },
    stream=True,
)

response.raise_for_status()

event_name = 'message'
assistant_text = ''

for raw_line in response.iter_lines(decode_unicode=True):
    if not raw_line:
        event_name = 'message'
        continue

    if raw_line.startswith('event:'):
        event_name = raw_line.replace('event:', '', 1).strip()
        continue

    if raw_line.startswith('data:'):
        raw_data = raw_line.replace('data:', '', 1).strip()
        if raw_data == '[DONE]':
            print('\nFinal text:', assistant_text)
            continue

        payload = json.loads(raw_data)

        if event_name == 'error' or payload.get('error'):
            error = payload.get('error') or payload
            raise RuntimeError(error.get('message', 'Chat request failed'))

        choices = payload.get('choices') or []
        if choices:
            delta = choices[0].get('delta') or {}
            content = delta.get('content')
            if content:
                assistant_text += content
                print(content, end='', flush=True)

curl -N -X POST "https://api.flaq.ai/api/v1/chat/completions" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Accept: text/event-stream" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-pro-text-to-text-0813",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ],
    "stream": true,
    "max_tokens": 500,
    "top_p": 0.5,
    "top_k": 1
  }'

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://api.flaq.ai/api/v1'
});

const stream = await client.chat.completions.create({
  model: 'deepseek-v4-pro-text-to-text-0813',
  messages: [
    {
      role: 'user',
      content: 'Hello'
    }
  ],
  stream: true,
  max_tokens: 500
});

for await (const chunk of stream) {
  const content = chunk.choices[0]?.delta?.content;
  if (content) process.stdout.write(content);
}

from openai import OpenAI

client = OpenAI(
    api_key='YOUR_API_KEY',
    base_url='https://api.flaq.ai/api/v1',
)

stream = client.chat.completions.create(
    model='deepseek-v4-pro-text-to-text-0813',
    messages=[
        {
            'role': 'user',
            'content': 'Hello',
        }
    ],
    stream=True,
    max_tokens=500,
)

for chunk in stream:
    if not chunk.choices:
        continue
    content = chunk.choices[0].delta.content
    if content:
        print(content, end='', flush=True)

OPENAI_BASE_URL="https://api.flaq.ai/api/v1"

curl -N -X POST "$OPENAI_BASE_URL/chat/completions" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Accept: text/event-stream" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-pro-text-to-text-0813",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ],
    "stream": true,
    "max_tokens": 500
  }'