Quick Start

LLMCloud provides a unified API that gives you access to leading AI models (Claude, Gemini, and more) through a single endpoint. It is fully OpenAI-compatible, so you can use any existing OpenAI SDK or HTTP client to get started in minutes.

Prerequisites

1. Create an account at llmcloud.studio
2. Generate an API key from your Dashboard

Base URL

All API requests use the following base URL:

https://llmcloud.studio/v1

Using the API directly

You can call the LLMCloud API using any HTTP client. The API follows the OpenAI chat completions format.

Shell (cURL)

curl https://llmcloud.studio/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $LLMCLOUD_API_KEY" \
  -d '{
  "model": "anthropic/claude-sonnet-4.6",
  "messages": [
    {
      "role": "user",
      "content": "What is the meaning of life?"
    }
  ]
}'

Python (requests)

import requests
import json

response = requests.post(
  url="https://llmcloud.studio/v1/chat/completions",
  headers={
    "Authorization": "Bearer <LLMCLOUD_API_KEY>",
    "Content-Type": "application/json",
  },
  data=json.dumps({
    "model": "anthropic/claude-sonnet-4.6",
    "messages": [
      {
        "role": "user",
        "content": "What is the meaning of life?"
      }
    ]
  })
)

print(response.json())

TypeScript (fetch)

const response = await fetch('https://llmcloud.studio/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer <LLMCLOUD_API_KEY>',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    model: 'anthropic/claude-sonnet-4.6',
    messages: [
      {
        role: 'user',
        content: 'What is the meaning of life?',
      },
    ],
  }),
});

const data = await response.json();
console.log(data.choices[0].message.content);

Using the OpenAI SDK

Since LLMCloud is OpenAI-compatible, you can use the official OpenAI SDK by simply changing the base_url and api_key.

Python

First, install the SDK:

pip install openai

Then use it in your code:

from openai import OpenAI

client = OpenAI(
  base_url="https://llmcloud.studio/v1",
  api_key="<LLMCLOUD_API_KEY>",
)

completion = client.chat.completions.create(
  model="anthropic/claude-sonnet-4.6",
  messages=[
    {
      "role": "user",
      "content": "What is the meaning of life?"
    }
  ]
)

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

TypeScript

First, install the SDK:

npm install openai

Then use it in your code:

import OpenAI from 'openai';

const openai = new OpenAI({
  baseURL: 'https://llmcloud.studio/v1',
  apiKey: '<LLMCLOUD_API_KEY>',
});

async function main() {
  const completion = await openai.chat.completions.create({
    model: 'anthropic/claude-sonnet-4.6',
    messages: [
      {
        role: 'user',
        content: 'What is the meaning of life?',
      },
    ],
  });

  console.log(completion.choices[0].message.content);
}

main();

List Available Models

To see all models available on LLMCloud:

curl https://llmcloud.studio/v1/models \
  -H "Authorization: Bearer $LLMCLOUD_API_KEY"

Streaming

The API supports streaming responses. Add "stream": true to your request body:

curl https://llmcloud.studio/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $LLMCLOUD_API_KEY" \
  -d '{
  "model": "anthropic/claude-sonnet-4.6",
  "stream": true,
  "messages": [
    {
      "role": "user",
      "content": "Write a short poem about coding."
    }
  ]
}'

Or with the OpenAI SDK (Python):

from openai import OpenAI

client = OpenAI(
  base_url="https://llmcloud.studio/v1",
  api_key="<LLMCLOUD_API_KEY>",
)

stream = client.chat.completions.create(
  model="anthropic/claude-sonnet-4.6",
  messages=[{"role": "user", "content": "Write a short poem about coding."}],
  stream=True,
)

for chunk in stream:
  if chunk.choices[0].delta.content is not None:
    print(chunk.choices[0].delta.content, end="")

Next Steps

• Browse the Supported Models to find the right model for your use case
• Set up your favorite IDE Integration for AI-assisted coding