"Hailuo AI & MiniMax M2 API Guide: Video and Text Generation for Developers"

from openai import OpenAI

client = OpenAI(
    api_key="your-crazyrouter-key",
    base_url="https://api.crazyrouter.com/v1"
)

response = client.chat.completions.create(
    model="MiniMax-M2",
    messages=[
        {"role": "system", "content": "You are a helpful assistant specializing in Chinese and English content."},
        {"role": "user", "content": "Compare the tech ecosystems of Silicon Valley and Shenzhen"}
    ],
    temperature=0.7,
    max_tokens=2048
)

print(response.choices[0].message.content)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'your-crazyrouter-key',
  baseURL: 'https://api.crazyrouter.com/v1'
});

const response = await client.chat.completions.create({
  model: 'MiniMax-M2',
  messages: [
    { role: 'user', content: 'Write a product description for an AI-powered code review tool' }
  ],
  stream: true
});

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

curl https://api.crazyrouter.com/v1/chat/completions \
  -H "Authorization: Bearer your-crazyrouter-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "MiniMax-M2",
    "messages": [
      {"role": "user", "content": "Explain transformer architecture in simple terms"}
    ]
  }'

import requests
import time

API_KEY = "your-crazyrouter-key"
BASE_URL = "https://api.crazyrouter.com"

# Submit video generation request
response = requests.post(
    f"{BASE_URL}/hailuo/submit/video",
    headers={
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    },
    json={
        "prompt": "A golden retriever running through a field of sunflowers at sunset, cinematic quality, slow motion",
        "duration": 5,
        "resolution": "720p"
    }
)

task_id = response.json()["data"]["task_id"]
print(f"Video generation started: {task_id}")

# Poll for completion
while True:
    status = requests.get(
        f"{BASE_URL}/hailuo/fetch/{task_id}",
        headers={"Authorization": f"Bearer {API_KEY}"}
    ).json()

    if status["data"]["status"] == "completed":
        print(f"Video URL: {status['data']['video_url']}")
        break
    elif status["data"]["status"] == "failed":
        print(f"Failed: {status['data']['error']}")
        break

    time.sleep(15)

# Animate a static image
response = requests.post(
    f"{BASE_URL}/hailuo/submit/video",
    headers={
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    },
    json={
        "prompt": "The character slowly turns their head and smiles, gentle wind blowing hair",
        "image_url": "https://example.com/portrait.jpg",
        "duration": 5
    }
)

# Generate content in both languages
for lang, prompt in [
    ("en", "Write a product launch announcement for an AI coding tool"),
    ("zh", "为一款AI编程工具撰写产品发布公告")
]:
    response = client.chat.completions.create(
        model="MiniMax-M2",
        messages=[{"role": "user", "content": prompt}]
    )
    print(f"\n--- {lang.upper()} ---")
    print(response.choices[0].message.content)

# Generate script → Generate video → Complete content pipeline
script = client.chat.completions.create(
    model="MiniMax-M2",
    messages=[{
        "role": "user",
        "content": "Write a 30-second video script for a tech product demo"
    }]
).choices[0].message.content

# Use the script to generate video
video_response = requests.post(
    f"{BASE_URL}/hailuo/submit/video",
    headers={"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"},
    json={"prompt": script, "duration": 5}
)

def handle_support_query(user_message, detected_language):
    system_prompt = {
        "zh": "你是一个友好的客服助手，用中文回答用户问题。",
        "en": "You are a friendly support assistant. Answer in English."
    }

    response = client.chat.completions.create(
        model="MiniMax-M2",
        messages=[
            {"role": "system", "content": system_prompt.get(detected_language, system_prompt["en"])},
            {"role": "user", "content": user_message}
        ],
        temperature=0.3
    )
    return response.choices[0].message.content