Qwen 3.8 Max API

Referensi API lengkap untuk model LLM Qwen 3.8 Max yang didukung oleh Alibaba.

Varian Model

API ini mendukung dua varian model Qwen 3.8 Max:

Perbandingan Singkat

Qwen 3.8 Max Text to Text

Titik Akhir

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: 'qwen-3.8-max-text-to-text',
    messages: [
      {
        role: 'user',
        content: 'Explain the concept of attention mechanisms in neural networks.'
      }
    ],
    stream: true,
    max_tokens: 2048
  })
});

Qwen 3.8 Max Web Search

Titik Akhir

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: 'qwen-3.8-max-web-search',
    messages: [
      {
        role: 'user',
        content: 'What are the latest developments in quantum computing this year?'
      }
    ],
    stream: true,
    max_tokens: 2048
  })
});

Format Respons

Model LLM Qwen 3.8 Max mengembalikan respons completion yang kompatibel dengan OpenAI. Dengan stream: true, respons berbentuk Server-Sent Events; dengan stream: false, respons berupa satu objek JSON.

Respons Berhasil

textSalin
data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"qwen-3.8-max-text-to-text","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null}]}

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"qwen-3.8-max-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":"qwen-3.8-max-text-to-text","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"qwen-3.8-max-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 dengan meratakan konteks menjadi satu prompt.
2. Pilih varian yang tepat: Gunakan Text to Text untuk tugas penalaran dan pembuatan. Gunakan Web Search saat informasi terbaru diperlukan.
3. Proses event SSE: Tambahkan choices[0].delta.content untuk tampilan streaming dan perlakukan data: [DONE] sebagai penyelesaian yang berhasil.
4. Kirim hanya input yang didukung: Model Qwen 3.8 Max hanya mendukung teks dan tidak mendukung lampiran file atau gambar.