openai/openai-dotnet
Publicmirrored from https://github.com/openai/openai-dotnetAvailable
src/Generated/EmbeddingClient.cs
47lines · modecode
| 1 | // <auto-generated/> |
| 2 | |
| 3 | #nullable disable |
| 4 | |
| 5 | using System; |
| 6 | using System.ClientModel; |
| 7 | using System.ClientModel.Primitives; |
| 8 | using System.Threading.Tasks; |
| 9 | |
| 10 | namespace OpenAI.Embeddings |
| 11 | { |
| 12 | // Data plane generated sub-client. |
| 13 | public partial class EmbeddingClient |
| 14 | { |
| 15 | private const string AuthorizationHeader = "Authorization"; |
| 16 | private readonly ApiKeyCredential _keyCredential; |
| 17 | private const string AuthorizationApiKeyPrefix = "Bearer"; |
| 18 | private readonly ClientPipeline _pipeline; |
| 19 | private readonly Uri _endpoint; |
| 20 | |
| 21 | public virtual ClientPipeline Pipeline => _pipeline; |
| 22 | |
| 23 | protected EmbeddingClient() |
| 24 | { |
| 25 | } |
| 26 | |
| 27 | internal PipelineMessage CreateCreateEmbeddingRequest(BinaryContent content, RequestOptions options) |
| 28 | { |
| 29 | var message = _pipeline.CreateMessage(); |
| 30 | message.ResponseClassifier = PipelineMessageClassifier200; |
| 31 | var request = message.Request; |
| 32 | request.Method = "POST"; |
| 33 | var uri = new ClientUriBuilder(); |
| 34 | uri.Reset(_endpoint); |
| 35 | uri.AppendPath("/embeddings", false); |
| 36 | request.Uri = uri.ToUri(); |
| 37 | request.Headers.Set("Accept", "application/json"); |
| 38 | request.Headers.Set("Content-Type", "application/json"); |
| 39 | request.Content = content; |
| 40 | message.Apply(options); |
| 41 | return message; |
| 42 | } |
| 43 | |
| 44 | private static PipelineMessageClassifier _pipelineMessageClassifier200; |
| 45 | private static PipelineMessageClassifier PipelineMessageClassifier200 => _pipelineMessageClassifier200 ??= PipelineMessageClassifier.Create(stackalloc ushort[] { 200 }); |
| 46 | } |
| 47 | } |
| 48 | |