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> - 0.9: https://docs.nvidia.com/nemo-helix/v0.9/llms.txt
> - 0.8: https://docs.nvidia.com/nemo-helix/v0.8/llms.txt
> - 0.7: https://docs.nvidia.com/nemo-helix/v0.7/llms.txt
> - 0.6: https://docs.nvidia.com/nemo-helix/v0.6/llms.txt
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> For a complete documentation index, see https://docs.nvidia.com/nemo-helix/llms.txt.
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# OpenAI Get Model

GET http://localhost:8080/apis/inference-gateway/v2/workspaces/{workspace}/openai/-/v1/models/{name}

Retrieve information about a specific OpenAI-compatible model.
Workspace is always taken from the URL path; name may be the VirtualModel
name or workspace/name (workspace prefix is ignored). Resolves against
routable VirtualModels, including custom ones, so this route agrees with
the list route and the inference proxy.

Reference: https://docs.nvidia.com/nemo-helix/documentation/reference/api-reference/inference-gateway/openai-proxy-get-model

## Request

### Path parameters

- `workspace` (string, required)
- `name` (string, required)

## Response

### 200

Get model request to OpenAI-compatible endpoint

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

## Errors

### 404 Not Found Error

Virtual model not found

- `detail` (string, required) — A human-readable error message describing what went wrong.

### 422 Unprocessable Entity Error

Validation Error

- `detail` (list of ValidationError, optional)

## Types

### ValidationError

- `loc` (list of ValidationErrorLocItems, required)
- `msg` (string, required)
- `type` (string, required)
- `input` (any, optional)
- `ctx` (map from string to any, optional)

### ValidationErrorLocItems

- string
- integer

## Examples

**Response**

```json
{
  "id": "string",
  "owned_by": "string",
  "object": "model",
  "created": 0
}
```

**SDK Code**

```python
import requests

url = "http://localhost:8080/apis/inference-gateway/v2/workspaces/workspace/openai/-/v1/models/name"

response = requests.get(url)

print(response.json())
```

```javascript
const url = 'http://localhost:8080/apis/inference-gateway/v2/workspaces/workspace/openai/-/v1/models/name';
const options = {method: 'GET'};

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