Respons Streaming Real-Time (SSE)

Kirim jawaban kata-per-kata seperti ChatGPT dengan stream:true.

1. Aktifkan stream

Tambahkan "stream": true. Respons memakai Server-Sent Events: baris data: {...} berisi chunk chat.completion.chunk, diakhiri data: [DONE].

curl -N https://sahabatmobile.com/api/v1/chat/completions \
  -H "Authorization: Bearer sk-ISI_KEY_ANDA" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemini-2.5-flash",
    "messages": [{"role": "user", "content": "Ceritakan legenda Malin Kundang."}],
    "stream": true
  }',

2. Contoh chunk

Setiap chunk membawa potongan teks di choices[0].delta.content. Chunk terakhir membawa finish_reason: "stop".

data: {"id":"chatcmpl-x","object":"chat.completion.chunk","model":"google/gemini-2.5-flash","choices":[{"index":0,"delta":{"content":"Dahulu"},"finish_reason":null}]}

data: {"id":"chatcmpl-x","object":"chat.completion.chunk","model":"google/gemini-2.5-flash","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}

data: [DONE]

3. Contoh Python

Gabungkan potongan delta.content sambil menampilkannya langsung.

import requests

with requests.post(
    "https://sahabatmobile.com/api/v1/chat/completions",
    headers={"Authorization": "Bearer sk-ISI_KEY_ANDA"},
    json={"model": "google/gemini-2.5-flash",
          "messages": [{"role": "user", "content": "Halo!"}],
          "stream": True},
    stream=True, timeout=120,
) as r:
    for line in r.iter_lines():
        if not line or not line.startswith(b"data: "):
            continue
        payload = line[6:].decode()
        if payload == "[DONE]":
            break
        import json
        delta = json.loads(payload)["choices"][0]["delta"]
        print(delta.get("content", ""), end="", flush=True)