Dokumentasi API

curl https://aimurah.my.id/api/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4.5",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "Explain quantum computing briefly."}
    ],
    "stream": true,
    "max_tokens": 1024
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://aimurah.my.id/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="claude-sonnet-4.5",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain quantum computing briefly."}
    ],
    stream=True,
    max_tokens=1024
)

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

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://aimurah.my.id/api/v1",
  apiKey: "YOUR_API_KEY",
});

const stream = await client.chat.completions.create({
  model: "claude-sonnet-4.5",
  messages: [
    { role: "system", content: "You are a helpful assistant." },
    { role: "user", content: "Explain quantum computing briefly." }
  ],
  stream: true,
  max_tokens: 1024,
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || "");
}

// Using Guzzle HTTP client
use GuzzleHttp\Client;

$client = new Client(['base_uri' => 'https://aimurah.my.id/api/v1/']);

$response = $client->post('chat/completions', [
    'headers' => [
        'Authorization' => 'Bearer YOUR_API_KEY',
        'Content-Type' => 'application/json',
    ],
    'json' => [
        'model' => 'claude-sonnet-4.5',
        'messages' => [
            ['role' => 'user', 'content' => 'Explain quantum computing briefly.'],
        ],
        'max_tokens' => 1024,
    ],
]);

$body = json_decode($response->getBody(), true);
echo $body['choices'][0]['message']['content'];

curl https://aimurah.my.id/api/v1/messages \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "claude-sonnet-4.5",
    "max_tokens": 1024,
    "messages": [
      {"role": "user", "content": "Hello, Claude!"}
    ]
  }'

from anthropic import Anthropic

client = Anthropic(
    base_url="https://aimurah.my.id/api/v1",
    api_key="YOUR_API_KEY"
)

message = client.messages.create(
    model="claude-sonnet-4.5",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Hello, Claude!"}
    ]
)
print(message.content[0].text)

curl https://aimurah.my.id/api/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "flux-2-klein-4b",
    "prompt": "a cute orange cat sitting on a cloud",
    "n": 1,
    "size": "512x512"
  }'

from openai import OpenAI
import base64

client = OpenAI(
    base_url="https://aimurah.my.id/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.images.generate(
    model="flux-2-klein-4b",
    prompt="a cute orange cat sitting on a cloud",
    n=1,
    size="512x512",
    response_format="b64_json"
)

# Save image
img_data = base64.b64decode(response.data[0].b64_json)
with open("output.jpg", "wb") as f:
    f.write(img_data)