EmbeddingsClient.GetModelInfo Method
Definition
Important
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Overloads
GetModelInfo(RequestContext) |
[Protocol Method] Returns information about the AI model.
The method makes a REST API call to the
|
GetModelInfo(CancellationToken) |
Returns information about the AI model.
The method makes a REST API call to the |
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.
- This protocol method allows explicit creation of the request and processing of the response for advanced scenarios.
- Please try the simpler GetModelInfo(CancellationToken) convenience overload with strongly typed models first.
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
Azure SDK for .NET