EmbeddingsClient.GetModelInfo Method

Definition

Overloads

GetModelInfo(RequestContext)

[Protocol Method] Returns information about the AI model. The method makes a REST API call to the /info route on the given endpoint. This method will only work when using Serverless API or Managed Compute endpoint. It will not work for GitHub Models endpoint or Azure OpenAI endpoint.

GetModelInfo(CancellationToken)

Returns information about the AI model. The method makes a REST API call to the /info route on the given endpoint. This method will only work when using Serverless API or Managed Compute endpoint. It will not work for GitHub Models endpoint or Azure OpenAI endpoint.

GetModelInfo(RequestContext)

Source:
EmbeddingsClient.cs

[Protocol Method] Returns information about the AI model. The method makes a REST API call to the /info route on the given endpoint. This method will only work when using Serverless API or Managed Compute endpoint. It will not work for GitHub Models endpoint or Azure OpenAI endpoint.

public virtual Azure.Response GetModelInfo (Azure.RequestContext context);
abstract member GetModelInfo : Azure.RequestContext -> Azure.Response
override this.GetModelInfo : Azure.RequestContext -> Azure.Response
Public Overridable Function GetModelInfo (context As RequestContext) As Response

Parameters

context
RequestContext

The request context, which can override default behaviors of the client pipeline on a per-call basis.

Returns

The response returned from the service.

Exceptions

Service returned a non-success status code.

Examples

This sample shows how to call GetModelInfo and parse the result.

Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
EmbeddingsClient client = new EmbeddingsClient(endpoint, credential);

Response response = client.GetModelInfo(null);

JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
Console.WriteLine(result.GetProperty("model_name").ToString());
Console.WriteLine(result.GetProperty("model_type").ToString());
Console.WriteLine(result.GetProperty("model_provider_name").ToString());

This sample shows how to call GetModelInfo and parse the result.

Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
EmbeddingsClient client = new EmbeddingsClient(endpoint, credential);

Response response = client.GetModelInfo(null);

JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
Console.WriteLine(result.GetProperty("model_name").ToString());
Console.WriteLine(result.GetProperty("model_type").ToString());
Console.WriteLine(result.GetProperty("model_provider_name").ToString());

Applies to

GetModelInfo(CancellationToken)

Source:
EmbeddingsClient.cs

Returns information about the AI model. The method makes a REST API call to the /info route on the given endpoint. This method will only work when using Serverless API or Managed Compute endpoint. It will not work for GitHub Models endpoint or Azure OpenAI endpoint.

public virtual Azure.Response<Azure.AI.Inference.ModelInfo> GetModelInfo (System.Threading.CancellationToken cancellationToken = default);
abstract member GetModelInfo : System.Threading.CancellationToken -> Azure.Response<Azure.AI.Inference.ModelInfo>
override this.GetModelInfo : System.Threading.CancellationToken -> Azure.Response<Azure.AI.Inference.ModelInfo>
Public Overridable Function GetModelInfo (Optional cancellationToken As CancellationToken = Nothing) As Response(Of ModelInfo)

Parameters

cancellationToken
CancellationToken

The cancellation token to use.

Returns

Examples

This sample shows how to call GetModelInfo.

Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
EmbeddingsClient client = new EmbeddingsClient(endpoint, credential);

Response<ModelInfo> response = client.GetModelInfo();

This sample shows how to call GetModelInfo.

Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
EmbeddingsClient client = new EmbeddingsClient(endpoint, credential);

Response<ModelInfo> response = client.GetModelInfo();

Applies to