Contoh Kode

Kumpulan contoh siap pakai untuk berbagai use case umum.

Chatbot Interaktif

Chatbot dengan memory percakapan (multi-turn).

from openai import OpenAI

client = OpenAI(
    base_url="https://api.sribuai.my.id/v1",
    api_key="sk-sri-xxxxx"
)

history = []

while True:
    user_input = input("Kamu: ")
    history.append({"role": "user", "content": user_input})
    
    response = client.chat.completions.create(
        model="claude-sonnet-4-5",
        messages=history
    )
    
    reply = response.choices[0].message.content
    history.append({"role": "assistant", "content": reply})
    print(f"AI: {reply}")

import OpenAI from 'openai'
import * as readline from 'readline'

const client = new OpenAI({
  baseURL: 'https://api.sribuai.my.id/v1',
  apiKey: 'sk-sri-xxxxx',
})

const history: OpenAI.Chat.ChatCompletionMessageParam[] = []
const rl = readline.createInterface({ input: process.stdin, output: process.stdout })

const chat = () => {
  rl.question('Kamu: ', async (input) => {
    history.push({ role: 'user', content: input })
    const res = await client.chat.completions.create({
      model: 'claude-sonnet-4-5',
      messages: history,
    })
    const reply = res.choices[0].message.content ?? ''
    history.push({ role: 'assistant', content: reply })
    console.log(`AI: ${reply}`)
    chat()
  })
}
chat()

Rangkum Artikel

Merangkum teks panjang menjadi ringkasan singkat.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.sribuai.my.id/v1",
    api_key="sk-sri-xxxxx"
)

def summarize(text: str) -> str:
    response = client.chat.completions.create(
        model="deepseek-v3",
        messages=[
            {
                "role": "system",
                "content": "Kamu adalah asisten yang ahli merangkum teks. Buat ringkasan singkat dan jelas dalam Bahasa Indonesia."
            },
            {
                "role": "user",
                "content": f"Rangkum teks berikut:\n\n{text}"
            }
        ],
        max_tokens=500
    )
    return response.choices[0].message.content

artikel = """
Kecerdasan buatan (AI) telah mengubah cara kita bekerja dan berinteraksi...
"""
print(summarize(artikel))

import OpenAI from 'openai'

const client = new OpenAI({
  baseURL: 'https://api.sribuai.my.id/v1',
  apiKey: 'sk-sri-xxxxx',
})

async function summarize(text: string): Promise<string> {
  const response = await client.chat.completions.create({
    model: 'deepseek-v3',
    messages: [
      {
        role: 'system',
        content: 'Kamu adalah asisten yang ahli merangkum teks. Buat ringkasan singkat dan jelas dalam Bahasa Indonesia.',
      },
      { role: 'user', content: `Rangkum teks berikut:\n\n${text}` },
    ],
    max_tokens: 500,
  })
  return response.choices[0].message.content ?? ''
}

Streaming Response

Tampilkan respons secara real-time.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.sribuai.my.id/v1",
    api_key="sk-sri-xxxxx"
)

print("AI: ", end="", flush=True)
stream = client.chat.completions.create(
    model="claude-sonnet-4-5",
    messages=[{"role": "user", "content": "Ceritakan kisah pendek yang menarik"}],
    stream=True,
    max_tokens=500
)

for chunk in stream:
    content = chunk.choices[0].delta.content
    if content:
        print(content, end="", flush=True)
print()

import OpenAI from 'openai'

const client = new OpenAI({
  baseURL: 'https://api.sribuai.my.id/v1',
  apiKey: 'sk-sri-xxxxx',
})

process.stdout.write('AI: ')
const stream = await client.chat.completions.create({
  model: 'claude-sonnet-4-5',
  messages: [{ role: 'user', content: 'Ceritakan kisah pendek yang menarik' }],
  stream: true,
  max_tokens: 500,
})

for await (const chunk of stream) {
  const content = chunk.choices[0]?.delta?.content ?? ''
  process.stdout.write(content)
}
console.log()

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