Grok 4 API

Referensi API lengkap untuk model LLM Grok 4 yang didukung oleh xAI.

Varian Model

API ini mendukung dua varian model Grok 4:

Perbandingan Cepat

Grok 4 Text to Text

Titik Akhir

httpSalin
POST /api/v1/chat/completions

Parameter Request

Wajib

Dukungan Pesan

Opsional

Contoh Request

javascriptSalin
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: 'grok-4-text-to-text',
    messages: [
      {
        role: 'user',
        content: 'Explain the key differences between REST and GraphQL APIs.'
      }
    ],
    stream: true,
    max_tokens: 2048
  })
});

Grok 4 Image to Text

Titik Akhir

httpSalin
POST /api/v1/chat/completions

Parameter Request

Wajib

Dukungan Pesan

Opsional

Contoh Request

javascriptSalin
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: 'grok-4-image-to-text',
    messages: [
      {
        role: 'user',
        content: [
          { type: 'text', text: 'Describe the image and extract any visible text.' },
          {
            type: 'image_url',
            image_url: {
              url: 'https://example.com/sample-image.jpg'
            }
          }
        ]
      }
    ],
    stream: true,
    max_tokens: 2048
  })
});

Format Respons

Grok 4 LLM models return OpenAI-compatible completion responses. With stream: true, the response is Server-Sent Events; with stream: false, the response is a single JSON object.

Respons Berhasil

textSalin
data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"grok-4-text-to-text","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null}]}

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"grok-4-text-to-text","choices":[{"index":0,"delta":{"content":"Here is a concise explanation"},"finish_reason":null}]}

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"grok-4-text-to-text","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"grok-4-text-to-text","choices":[],"usage":{"prompt_tokens":12,"completion_tokens":8,"total_tokens":20}}

data: [DONE]

Respons Error

textSalin
event: error
data: {"error":{"message":"API requests too frequent, exceeding rate limit","type":"rate_limit_error","code":"1302","param":null}}

Praktik Terbaik

1. Gunakan pesan terstruktur: Kirim riwayat percakapan melalui messages[], bukan meratakan konteks menjadi satu prompt.
2. Pilih varian model yang tepat: Gunakan Text to Text untuk penalaran teks saja, dan Image to Text saat pemahaman gambar diperlukan.
3. Konsumsi event SSE: Tambahkan choices[0].delta.content untuk tampilan streaming dan perlakukan data: [DONE] sebagai penyelesaian yang berhasil.
4. Kirim hanya input yang didukung: Text to Text tidak mendukung lampiran gambar atau file.