> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo-platform/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo-platform/_mcp/server.

# OpenAI List Models

GET /apis/inference-gateway/v2/workspaces/{workspace}/openai/-/v1/models

This endpoint lists the routable VirtualModels in the requested workspace and
returns them in OpenAI's list models format. Each model ID is the VirtualModel
identifier in format workspace/name. This includes both autoprovisioned
VirtualModels (one per served model entity) and custom VirtualModels, keeping
the catalog in agreement with the inference proxy, which also resolves
VirtualModels scoped to the request workspace.

Reference: https://docs.nvidia.com/nemo-platform/nemo-platform/v0.3.0/documentation/reference/api-reference/inference-gateway/openai-proxy-list-models

## Request

### Path parameters

- `workspace` (string, required)

## Response

### 200

List models request to OpenAI-compatible endpoint

- `data` (list of object, required)
  - `id` (string, required)
  - `owned_by` (string, required)
  - `object` (string, optional, default: model)
  - `created` (integer, optional, default: 0)
- `object` (string, optional, default: list)

## Examples

**Response**

```json
{
  "data": [
    {
      "id": "string",
      "owned_by": "string",
      "object": "model",
      "created": 0
    }
  ],
  "object": "list"
}
```

**SDK Code**

```python
import requests

url = "https://api.example.com/apis/inference-gateway/v2/workspaces/workspace/openai/-/v1/models"

response = requests.get(url)

print(response.json())
```

```javascript
const url = 'https://api.example.com/apis/inference-gateway/v2/workspaces/workspace/openai/-/v1/models';
const options = {method: 'GET'};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
```

```go
package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.example.com/apis/inference-gateway/v2/workspaces/workspace/openai/-/v1/models"

	req, _ := http.NewRequest("GET", url, nil)

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}
```

```ruby
require 'uri'
require 'net/http'

url = URI("https://api.example.com/apis/inference-gateway/v2/workspaces/workspace/openai/-/v1/models")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)

response = http.request(request)
puts response.read_body
```

```java
import com.mashape.unirest.http.HttpResponse;
import com.mashape.unirest.http.Unirest;

HttpResponse<String> response = Unirest.get("https://api.example.com/apis/inference-gateway/v2/workspaces/workspace/openai/-/v1/models")
  .asString();
```

```php
<?php
require_once('vendor/autoload.php');

$client = new \GuzzleHttp\Client();

$response = $client->request('GET', 'https://api.example.com/apis/inference-gateway/v2/workspaces/workspace/openai/-/v1/models');

echo $response->getBody();
```

```csharp
using RestSharp;

var client = new RestClient("https://api.example.com/apis/inference-gateway/v2/workspaces/workspace/openai/-/v1/models");
var request = new RestRequest(Method.GET);
IRestResponse response = client.Execute(request);
```

```swift
import Foundation

let request = NSMutableURLRequest(url: NSURL(string: "https://api.example.com/apis/inference-gateway/v2/workspaces/workspace/openai/-/v1/models")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "GET"

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()
```