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