GPT 5.4 API

Referensi API lengkap untuk model model bahasa besar GPT 5.4 yang didukung oleh OpenAI.

Varian Model

API ini mendukung empat varian model:

Perbandingan Cepat

GPT 5.4 Text to Text

Endpoint

httpSalin
POST /api/v1/chat/completions

Parameter Permintaan

Wajib

Dukungan Pesan

Opsional

Contoh Permintaan

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: 'gpt-5.4-text-to-text',
    messages: [
      {
        role: 'user',
        content: 'Write a short launch announcement for a new AI feature.'
      }
    ],
    stream: true,
    max_tokens: 2048
  })
});

GPT 5.4 Image to Text

Endpoint

httpSalin
POST /api/v1/chat/completions

Parameter Permintaan

Wajib

Dukungan Pesan

Opsional

Contoh Permintaan

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: 'gpt-5.4-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
  })
});

GPT 5.4 Web Search

Endpoint

httpSalin
POST /api/v1/chat/completions

Parameter Permintaan

Wajib

Dukungan Pesan

Opsional

Contoh Permintaan

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: 'gpt-5.4-web-search',
    messages: [
      {
        role: 'user',
        content: 'Find recent product launch trends in AI developer tools.'
      }
    ],
    stream: true,
    max_tokens: 2048
  })
});

GPT 5.4 File Analysis

Endpoint

httpSalin
POST /api/v1/chat/completions

Parameter Permintaan

Wajib

Dukungan Pesan

Opsional

Contoh Permintaan

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: 'gpt-5.4-file-analysis',
    messages: [
      {
        role: 'user',
        content: [
          { type: 'text', text: 'Summarize this document and list the key action items.' },
          {
            type: 'file',
            file: {
              filename: 'demo.pdf',
              file_data: 'https://example.com/demo.pdf'
            }
          }
        ]
      }
    ],
    stream: true,
    max_tokens: 2048
  })
});

Format Respons

Model LLM GPT 5.4 mengembalikan respons completion yang kompatibel dengan OpenAI. Dengan stream: true, respons berupa Server-Sent Events; dengan stream: false, respons berupa satu objek JSON.

Respons Berhasil

textSalin
data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"gpt-5.4-image-to-text","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null}]}

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"gpt-5.4-image-to-text","choices":[{"index":0,"delta":{"content":"The image shows"},"finish_reason":null}]}

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"gpt-5.4-image-to-text","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"gpt-5.4-image-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. Jaga pesan tetap terstruktur: Gunakan messages[] untuk riwayat percakapan alih-alih meratakan konteks menjadi satu prompt.
2. Lampirkan file dan gambar ke pesan: Letakkan bagian image_url dan file di dalam pesan yang memperkenalkannya.
3. Gunakan parsing SSE: Konsumsi choices[0].delta.content untuk tampilan bertahap dan data: [DONE] untuk konten final.
4. Kirim hanya input yang didukung: Cocokkan bagian teks, gambar, dan file dengan varian model yang dipilih.
5. Simpan status permintaan secara lokal: Chunk menyertakan id completion, tetapi klien tetap harus merutekannya melalui state permintaan aktif.