Network Model Presets

Test the Endpoint GET /v1/models

The models endpoint provides information about the available Fortytwo Network model presets. Each preset represents AI capabilities running across distributed nodes.

List Models Endpoint

Retrieve a list of all available models that can be used for chat completions.

Endpoint

GET https://api.fortytwo.network/v1/models

Request

curl https://api.fortytwo.network/v1/models \
  -H "Authorization: Bearer YOUR_FORTYTWO_API_KEY"

import requests

api_key = "YOUR_FORTYTWO_API_KEY"
headers = {
    "Authorization": f"Bearer {api_key}"
}

response = requests.get(
    "https://api.fortytwo.network/v1/models",
    headers=headers
)

models = response.json()
print(models)

const apiKey = 'YOUR_FORTYTWO_API_KEY';

fetch('https://api.fortytwo.network/v1/models', {
  headers: {
    'Authorization': `Bearer ${apiKey}`
  }
})
  .then(response => response.json())
  .then(data => console.log(data));

Response

The API returns a list of model objects in OpenAI-compatible format:

{
  "object":"list",
  "data": [
    {
      "id":"fortytwo-xxxxxxxxxxxx",
      "object":"model",
      "created":1760704134,
      "owned_by":"fortytwo"
    }
  ]
}

Response Fields

array

List of available model objects.

string

Always “list” for this endpoint.

Model Object Fields

string

Unique identifier for the model (use this in chat completions).

string

Always “model”.

string

Organization that owns or operates the model.

array

Model permissions and capabilities.

Using Models

Once you’ve retrieved the list of available models, you can use any model ID in your ‘Chat Completions’ requests:

Test the Endpoint POST /v1/chat/completions

# List available models
response = requests.get(
    "https://api.fortytwo.network/v1/models",
    headers={"Authorization": f"Bearer {YOUR_FORTYTWO_API_KEY}"}
)
models = response.json()

# Use a specific model
model_id = models['data'][0]['id']

# Make a chat completion request
completion = requests.post(
    "https://api.fortytwo.network/v1/chat/completions",
    headers={"Authorization": f"Bearer {YOUR_FORTYTWO_API_KEY}"},
    json={
        "model": model_id,
        "messages": [
            {"role": "user", "content": "Hello!"}
        ]
    }
)

// List available models
const response = await fetch("https://api.fortytwo.network/v1/models", {
  headers: {
    "Authorization": `Bearer ${YOUR_FORTYTWO_API_KEY}`
  }
});
const models = await response.json();

// Use a specific model
const model_id = models.data[0].id;

// Make a chat completion request
const completion = await fetch("https://api.fortytwo.network/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${YOUR_FORTYTWO_API_KEY}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    model: model_id,
    messages: [
      { role: "user", content: "Hello!" }
    ]
  })
});

OpenAI Compatibility

The Models endpoint is fully compatible with OpenAI’s models API format. You can use the same client libraries and code:

from openai import OpenAI

# Point to Fortytwo API
client = OpenAI(
    api_key="YOUR_FORTYTWO_API_KEY",
    base_url="https://api.fortytwo.network/v1"
)

# List models (same as OpenAI)
models = client.models.list()
for model in models.data:
    print(f"Model: {model.id}")

import OpenAI from "openai";

// Point to Fortytwo API
const client = new OpenAI({
  apiKey: "YOUR_FORTYTWO_API_KEY",
  baseURL: "https://api.fortytwo.network/v1"
});

// List models (same as OpenAI)
const models = await client.models.list();
for (const model of models.data) {
  console.log(`Model: ${model.id}`);
}

Next Steps

Learn how to use models in ‘Chat Completions’.
Understand ‘Preview Limits & Quotas’ for API usage.

Get Started

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Network Model Presets

List Models Endpoint

Endpoint

Request

Response

Response Fields

Model Object Fields

Using Models

OpenAI Compatibility

Next Steps

​List Models Endpoint

​Endpoint

​Request

​Response

​Response Fields

​Model Object Fields

​Using Models

​OpenAI Compatibility

​Next Steps

List Models Endpoint

Endpoint

Request

Response

Response Fields

Model Object Fields

Using Models

OpenAI Compatibility

Next Steps