Quickstart

pip install openai

from openai import OpenAI
 
client = OpenAI(
    base_url="https://api.ant-ling.com/v1",
    api_key="YOUR_API_KEY"
)
 
response = client.chat.completions.create(
    model="Ling-2.6-1T",
    # Recommended: Use Ling-2.6-1T / Ling-2.6-flash — the latest Ant Ling models
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello, please introduce Ant Ling LLM"}
    ],
    max_tokens=1000
)
 
print(response.choices[0].message.content)

Ant Ling is an enterprise-grade LLM platform launched by Ant Group, featuring three model families:
 
1. **Ling (General Model)**: Suitable for conversation, text generation, content creation, and other scenarios
2. **Ring (Reasoning Model)**: Specializes in mathematical computation, code generation, logical reasoning, and other deep thinking tasks
3. **Ming (Multimodal Model)**: Supports cross-modal understanding and generation of images, audio, and video
 
Ant Ling models use MoE architecture to maintain high performance while achieving efficient inference,
and share research results through the open-source community Inclusion AI.

npm install openai

import OpenAI from 'openai';
 
const client = new OpenAI({
  baseURL: 'https://api.ant-ling.com/v1',
  apiKey: 'YOUR_API_KEY',
});
 
async function main() {
  const response = await client.chat.completions.create({
    model: 'Ling-2.6-1T',
    // Recommended: Use Ling-2.6-1T / Ling-2.6-flash — the latest Ant Ling models
    messages: [
      { role: 'system', content: 'You are a helpful assistant.' },
      { role: 'user', content: 'Hello, please introduce Ant Ling LLM' },
    ],
    max_tokens: 1000,
  });
 
  console.log(response.choices[0].message.content);
}
 
main();

Ant Ling is an enterprise-grade LLM platform launched by Ant Group, featuring three model families:
 
1. **Ling (General Model)**: Suitable for conversation, text generation, content creation, and other scenarios
2. **Ring (Reasoning Model)**: Specializes in mathematical computation, code generation, logical reasoning, and other deep thinking tasks
3. **Ming (Multimodal Model)**: Supports cross-modal understanding and generation of images, audio, and video
 
Ant Ling models use MoE architecture to maintain high performance while achieving efficient inference,
and share research results through the open-source community Inclusion AI.

response = client.chat.completions.create(
    model="Ling-2.6-1T",
    messages=[
        {"role": "user", "content": "Hello"}
    ],
    stream=True
)
 
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://api.ant-ling.com/v1',
  apiKey: 'YOUR_API_KEY',
});
 
const stream = await client.chat.completions.create({
  model: 'Ling-2.6-1T',
  messages: [{ role: 'user', content: 'Hello' }],
  stream: true,
});
 
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || '');
}