AzureOpenAITextEmbeddingGenerationService Constructors

Reference

Definition

Namespace:: Microsoft.SemanticKernel.Connectors.AzureOpenAI

Assembly:: Microsoft.SemanticKernel.Connectors.AzureOpenAI.dll

Package:: Microsoft.SemanticKernel.Connectors.AzureOpenAI v1.20.0

Important

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

Overloads

AzureOpenAITextEmbeddingGenerationService(String, AzureOpenAIClient, String, ILoggerFactory, Nullable<Int32>)	Initializes a new instance of the AzureOpenAITextEmbeddingGenerationService class.
AzureOpenAITextEmbeddingGenerationService(String, String, TokenCredential, String, HttpClient, ILoggerFactory, Nullable<Int32>)	Initializes a new instance of the AzureOpenAITextEmbeddingGenerationService class.
AzureOpenAITextEmbeddingGenerationService(String, String, String, String, HttpClient, ILoggerFactory, Nullable<Int32>)	Initializes a new instance of the AzureOpenAITextEmbeddingGenerationService class.

AzureOpenAITextEmbeddingGenerationService(String, AzureOpenAIClient, String, ILoggerFactory, Nullable<Int32>)

Initializes a new instance of the AzureOpenAITextEmbeddingGenerationService class.

public AzureOpenAITextEmbeddingGenerationService (string deploymentName, Azure.AI.OpenAI.AzureOpenAIClient azureOpenAIClient, string? modelId = default, Microsoft.Extensions.Logging.ILoggerFactory? loggerFactory = default, int? dimensions = default);

new Microsoft.SemanticKernel.Connectors.AzureOpenAI.AzureOpenAITextEmbeddingGenerationService : string * Azure.AI.OpenAI.AzureOpenAIClient * string * Microsoft.Extensions.Logging.ILoggerFactory * Nullable<int> -> Microsoft.SemanticKernel.Connectors.AzureOpenAI.AzureOpenAITextEmbeddingGenerationService

Public Sub New (deploymentName As String, azureOpenAIClient As AzureOpenAIClient, Optional modelId As String = Nothing, Optional loggerFactory As ILoggerFactory = Nothing, Optional dimensions As Nullable(Of Integer) = Nothing)

Parameters

deploymentName: String

Azure OpenAI deployment name, see https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource

azureOpenAIClient: AzureOpenAIClient

Custom AzureOpenAIClient for HTTP requests.

modelId: String

Azure OpenAI model id, see https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource

loggerFactory: ILoggerFactory

The ILoggerFactory to use for logging. If null, no logging will be performed.

dimensions: Nullable<Int32>

The number of dimensions the resulting output embeddings should have. Only supported in "text-embedding-3" and later models.

Applies to

AzureOpenAITextEmbeddingGenerationService(String, String, TokenCredential, String, HttpClient, ILoggerFactory, Nullable<Int32>)

Initializes a new instance of the AzureOpenAITextEmbeddingGenerationService class.

public AzureOpenAITextEmbeddingGenerationService (string deploymentName, string endpoint, Azure.Core.TokenCredential credential, string? modelId = default, System.Net.Http.HttpClient? httpClient = default, Microsoft.Extensions.Logging.ILoggerFactory? loggerFactory = default, int? dimensions = default);

new Microsoft.SemanticKernel.Connectors.AzureOpenAI.AzureOpenAITextEmbeddingGenerationService : string * string * Azure.Core.TokenCredential * string * System.Net.Http.HttpClient * Microsoft.Extensions.Logging.ILoggerFactory * Nullable<int> -> Microsoft.SemanticKernel.Connectors.AzureOpenAI.AzureOpenAITextEmbeddingGenerationService

Public Sub New (deploymentName As String, endpoint As String, credential As TokenCredential, Optional modelId As String = Nothing, Optional httpClient As HttpClient = Nothing, Optional loggerFactory As ILoggerFactory = Nothing, Optional dimensions As Nullable(Of Integer) = Nothing)

Parameters

deploymentName: String

Azure OpenAI deployment name, see https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource

endpoint: String

Azure OpenAI deployment URL, see https://learn.microsoft.com/azure/cognitive-services/openai/quickstart

credential: TokenCredential

Token credentials, e.g. DefaultAzureCredential, ManagedIdentityCredential, EnvironmentCredential, etc.

modelId: String

Azure OpenAI model id, see https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource

httpClient: HttpClient

Custom HttpClient for HTTP requests.

loggerFactory: ILoggerFactory

The ILoggerFactory to use for logging. If null, no logging will be performed.

dimensions: Nullable<Int32>

The number of dimensions the resulting output embeddings should have. Only supported in "text-embedding-3" and later models.

Applies to

AzureOpenAITextEmbeddingGenerationService(String, String, String, String, HttpClient, ILoggerFactory, Nullable<Int32>)

Initializes a new instance of the AzureOpenAITextEmbeddingGenerationService class.

public AzureOpenAITextEmbeddingGenerationService (string deploymentName, string endpoint, string apiKey, string? modelId = default, System.Net.Http.HttpClient? httpClient = default, Microsoft.Extensions.Logging.ILoggerFactory? loggerFactory = default, int? dimensions = default);

new Microsoft.SemanticKernel.Connectors.AzureOpenAI.AzureOpenAITextEmbeddingGenerationService : string * string * string * string * System.Net.Http.HttpClient * Microsoft.Extensions.Logging.ILoggerFactory * Nullable<int> -> Microsoft.SemanticKernel.Connectors.AzureOpenAI.AzureOpenAITextEmbeddingGenerationService

Public Sub New (deploymentName As String, endpoint As String, apiKey As String, Optional modelId As String = Nothing, Optional httpClient As HttpClient = Nothing, Optional loggerFactory As ILoggerFactory = Nothing, Optional dimensions As Nullable(Of Integer) = Nothing)

Parameters

deploymentName: String

Azure OpenAI deployment name, see https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource

endpoint: String

Azure OpenAI deployment URL, see https://learn.microsoft.com/azure/cognitive-services/openai/quickstart

apiKey: String

Azure OpenAI API key, see https://learn.microsoft.com/azure/cognitive-services/openai/quickstart

modelId: String

Azure OpenAI model id, see https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource

httpClient: HttpClient

Custom HttpClient for HTTP requests.

loggerFactory: ILoggerFactory

The ILoggerFactory to use for logging. If null, no logging will be performed.

dimensions: Nullable<Int32>

The number of dimensions the resulting output embeddings should have. Only supported in "text-embedding-3" and later models.

Applies to

Partager via

AzureOpenAITextEmbeddingGenerationService Constructors

Definition

Overloads

AzureOpenAITextEmbeddingGenerationService(String, AzureOpenAIClient, String, ILoggerFactory, Nullable<Int32>)

Parameters

Applies to

AzureOpenAITextEmbeddingGenerationService(String, String, TokenCredential, String, HttpClient, ILoggerFactory, Nullable<Int32>)

Parameters

Applies to

AzureOpenAITextEmbeddingGenerationService(String, String, String, String, HttpClient, ILoggerFactory, Nullable<Int32>)

Parameters

Applies to

Ressources supplémentaires