API Documentation
Integrate China's most powerful AI models into your applications with just a few lines of code.
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Quick Start
Just change base_url and api_key to integrate with OpenAI SDK.
| PARAM | VALUE |
|---|---|
| base_url (OpenAI) | https://www.xouliwei.com/v1 |
| api_key | Apply for an API Key |
| model* | kimi-k2.6deepseek-v4-proMiniMax-M2.7glm-5 |
Python
from openai import OpenAI
client = OpenAI(
api_key="sk-your_api_key",
base_url="https://www.xouliwei.com/v1"
)
response = client.chat.completions.create(
model="MiniMax-M2.7",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)Authentication
All API requests require authentication using an API key. Include your API key in the Authorization header.
Authorization: Bearer your_nexus_api_keyNote: Keep your API key secure. Do not share it in public repositories or client-side code.
Chat Completions
The Chat Completions API follows the OpenAI format. Here are examples in different languages:
Python
from openai import OpenAI
client = OpenAI(
api_key="your_nexus_api_key",
base_url="https://www.xouliwei.com/v1"
)
# Chat completion
response = client.chat.completions.create(
model="MiniMax-M2.7",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)JavaScript/Node.js
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'your_nexus_api_key',
baseURL: 'https://www.xouliwei.com/v1'
});
// Chat completion
const response = await client.chat.completions.create({
model: 'MiniMax-M2.7',
messages: [
{ role: 'system', content: 'You are a helpful assistant.' },
{ role: 'user', content: 'Hello!' }
]
});
console.log(response.choices[0].message.content);cURL
curl https://www.xouliwei.com/v1/chat/completions \
-H "Authorization: Bearer your_nexus_api_key" \
-H "Content-Type: application/json" \
-d '{
"model": "MiniMax-M2.7",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'Supported Models
All models are accessible using OpenAI-compatible model names. No code changes required.
| Model | Context | Provider |
|---|---|---|
| MiniMax-M2.7 | 208K | MiniMax |
| Qwen 3.5Plus | 208K | Qwen |
| GLM-5 | 208K | Zhipu |
| Kimi-k2.5 | 208K | Kimi |