Getting Started with OpenLLM: Integrate LLM APIs in 1 Minute

OpenLLM is an AI gateway and LLM routing platform that provides a unified API interface, allowing you to call over 300 large language models—including OpenAI, Anthropic, DeepSeek, and Zhipu AI—using a single codebase.

🌟 Core Advantages

• 🚀 Unified API – Simplifies development across multiple LLMs

• 💰 Smart Routing – Reduces costs by routing requests efficiently

• ⚡ High Concurrency – Stable and reliable performance

• 📊 Centralized Management – Visual monitoring and analytics

Quick Start: 5 Steps to Integration 🚀

Step 1: Register an Account

1. Visit the official site: https://openllm.shop/

2. Click “Register” at the top-right corner

3. Enter your email and password

4. Complete the account creation

Step 2: Obtain API Key

1. Log in to your OpenLLM account

2. Go to API Keys

3. Click “Copy BASE URL”

4. Click “Copy Key” (keep it secure!)

Example API key:

sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

Step 3: Choose a Model

1. Navigate to your project page
   

2. Click “View Models”
   

3. Browse the available model list
   

4. Select and copy the desired model ID
   

🔥 Popular Models:

• Claude Code series (Anthropic)

• gpt-5.5 (OpenAI)
  

Step 4: Configure in Your AI Tool

Fill the following fields in your AI tool (Cursor, Trae, Claude Code, OpenClaw, etc.):

• BaseURL – Paste the copied URL (Anthropic format recommended)

• API Key – Paste your API key

• Model ID – Example: claude-sonnet-4-6

Once configured, your tool is ready to connect.

Code Examples 💻

3.1 Using curl

curl -X POST https://api.openllm.shop/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

3.2 Python Example

import requests

API_KEY = "YOUR_API_KEY"
API_URL = "https://api.openllm.shop/v1/chat/completions"

headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

data = {
    "model": "gpt-4",
    "messages": [
        {"role": "user", "content": "Hello!"}
    ]
}

response = requests.post(API_URL, headers=headers, json=data)
print(response.json())

3.3 Node.js Example

const response = await fetch('https://api.openllm.shop/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'gpt-4',
    messages: [{ role: 'user', content: 'Hello!' }]
  })
});

const data = await response.json();
console.log(data);

3.4 Switching Models

Simply change the model parameter:

# Using Claude
data["model"] = "claude-sonnet-4-6"

# Using DeepSeek
data["model"] = "deepseek-v3.2"

# Using Zhipu AI
data["model"] = "glm-5.1"

Summary 🎉

OpenLLM makes large model integration fast and simple:

With OpenLLM, you can access hundreds of LLMs with just one unified API.