Claude Opus 4.8 API

Referensi API lengkap untuk model model bahasa besar Claude Opus 4.8 yang didukung oleh Anthropic.

Varian Model

API ini mendukung dua varian model Claude Opus 4.8:

Perbandingan Cepat

Claude Opus 4.8 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: 'claude-opus-4.8-text-to-text',
    messages: [
      {
        role: 'user',
        content: 'Draft a technical decision memo for this architecture choice.'
      }
    ],
    stream: true,
    max_tokens: 2048
  })
});

Claude Opus 4.8 File Analysis

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: 'claude-opus-4.8-file-analysis',
    messages: [
      {
        role: 'user',
        content: [
          { type: 'text', text: 'Summarize this file and extract the key risks.' },
          {
            type: 'file',
            file: {
              filename: 'demo.pdf',
              file_data: 'https://example.com/demo.pdf'
            }
          }
        ]
      }
    ],
    stream: true,
    max_tokens: 4096
  })
});

Format Respons

Model LLM Claude Opus 4.8 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":"claude-opus-4.8-file-analysis","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null}]}

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"claude-opus-4.8-file-analysis","choices":[{"index":0,"delta":{"content":"Here is a concise summary"},"finish_reason":null}]}

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"claude-opus-4.8-file-analysis","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}

data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"claude-opus-4.8-file-analysis","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[] alih-alih meratakan konteks menjadi satu prompt.
2. Pilih varian model yang tepat: Gunakan Text to Text untuk reasoning dan penulisan teks saja, dan File Analysis saat file atau 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: Model teks mengabaikan bagian file dan gambar yang tidak didukung pada klien saat ini.