From a45418e2d4f70595eb6b0af92d4c7547889fb34b Mon Sep 17 00:00:00 2001 From: Yvonne Yu Date: Wed, 22 Apr 2026 13:22:50 -0700 Subject: [PATCH] docs: update Gemini Enterprise Agent Platform home page url FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/google-gemini/private-dotnet-genai/pull/75 from google-gemini:vertex b423641c927b1c5e587c4ddb533afec002844b2d PiperOrigin-RevId: 904010269 --- DemoApp/Files/packages.lock.json | 16 +- .../packages.lock.json | 16 +- .../packages.lock.json | 16 +- DemoApp/JsonParser/packages.lock.json | 16 +- .../packages.lock.json | 16 +- .../packages.lock.json | 16 +- DemoApp/LiveToolCall/packages.lock.json | 16 +- .../Batches/CancelBatchTest.cs | 14 +- .../Batches/EmbeddingBatchTest.cs | 14 +- .../Caches/CreateCacheTest.cs | 14 +- .../Caches/UpdateCacheTest.cs | 14 +- .../ComputeTokens/ComputeTokensTest.cs | 2 +- .../EditImage/EditImageErrorHandlingTest.cs | 14 +- .../EmbedContent/EmbedContentTest.cs | 52 +- .../GenerateContentEnumTest.cs | 12 +- .../GenerateContentErrorHandlingTest.cs | 16 +- .../GenerateContentResponseConfigTest.cs | 16 +- .../GenerateContentSimpleTest.cs | 18 +- .../GenerateContentSimpleTestCustomClient.cs | 107 ++ .../GenerateContentStreamErrorHandlingTest.cs | 16 +- .../GenerateImagesErrorHandlingTest.cs | 14 +- .../Live/ErrorHandlingTests.cs | 20 +- .../Live/SendClientContentTest.cs | 16 +- .../Live/SendToolResponseTest.cs | 12 +- .../Netstandard2_0Tests/packages.lock.json | 24 +- ...ContentInlinePdfDocumentOcrVertexTest.json | 80 ++ ...neVideoAudioTrackExtractionVertexTest.json | 80 ++ ...tTest.EmbedContentMultiTextGeminiTest.json | 59 +- ...tTest.EmbedContentMultiTextVertexTest.json | 50 +- ....EmbedContentNewApiGcsImageVertexTest.json | 46 +- ...Test.EmbedContentNewApiMaasVertexTest.json | 1138 +++++++++++++++-- ....EmbedContentNewApiTextOnlyVertexTest.json | 130 +- ...entNewApiTextOnlyWithConfigVertexTest.json | 46 +- ...Test.EmbedContentSimpleTextGeminiTest.json | 796 +----------- ...Test.EmbedContentSimpleTextVertexTest.json | 793 +----------- ...st.EmbedContentSingleStringGeminiTest.json | 796 +----------- ...st.EmbedContentSingleStringVertexTest.json | 793 +----------- ...t.GenerateContentSimpleTextGeminiTest.json | 83 ++ ...t.GenerateContentSimpleTextVertexTest.json | 92 ++ ...ListTuningsTest.ListTuningsGeminiTest.json | 234 ---- .../SegmentImage/SegmentImageTest.cs | 2 +- Google.GenAI.E2E.Tests/TestAssets/animal.mp4 | Bin 0 -> 934015 bytes Google.GenAI.E2E.Tests/TestAssets/story.pdf | Bin 0 -> 39400 bytes .../Tunings/ListTuningsTest.cs | 18 +- .../UpscaleImageErrorHandlingTest.cs | 2 +- Google.GenAI.Tests/ClientTest.cs | 178 ++- Google.GenAI.Tests/HttpApiClientTest.cs | 11 + .../Netstandard2_0Tests/packages.lock.json | 24 +- Google.GenAI.Tests/packages.lock.json | 24 +- Google.GenAI/ApiClient.cs | 94 +- Google.GenAI/Batches.cs | 140 +- Google.GenAI/Caches.cs | 20 +- Google.GenAI/Client.cs | 115 +- Google.GenAI/HttpApiClient.cs | 6 +- Google.GenAI/LiveConverters.cs | 193 ++- Google.GenAI/Models.cs | 236 ++-- Google.GenAI/Operations.cs | 3 +- Google.GenAI/README.md | 159 ++- Google.GenAI/Tunings.cs | 466 +------ Google.GenAI/types/AvatarConfig.cs | 83 ++ Google.GenAI/types/BatchJob.cs | 8 +- Google.GenAI/types/BatchJobDestination.cs | 13 +- Google.GenAI/types/BatchJobSource.cs | 13 +- Google.GenAI/types/ClientOptions.cs | 55 + Google.GenAI/types/ContentEmbedding.cs | 3 +- .../types/ContentEmbeddingStatistics.cs | 6 +- Google.GenAI/types/CreateBatchJobConfig.cs | 10 + Google.GenAI/types/CreateTuningJobConfig.cs | 6 +- Google.GenAI/types/CustomizedAvatar.cs | 65 + .../types/DistillationHyperParameters.cs | 3 +- Google.GenAI/types/EmbedContentConfig.cs | 30 +- Google.GenAI/types/EmbedContentMetadata.cs | 5 +- .../types/EmbedContentParametersPrivate.cs | 2 +- Google.GenAI/types/EmbedContentResponse.cs | 2 +- Google.GenAI/types/EmbeddingApiType.cs | 2 +- Google.GenAI/types/GenerateContentConfig.cs | 2 +- Google.GenAI/types/GenerateVideosConfig.cs | 11 + Google.GenAI/types/LiveClientSetup.cs | 20 + Google.GenAI/types/LiveConnectConfig.cs | 20 + Google.GenAI/types/Modality.cs | 7 +- Google.GenAI/types/TuningDataset.cs | 5 +- Google.GenAI/types/TuningValidationDataset.cs | 5 +- Google.GenAI/types/TurnCompleteReason.cs | 180 ++- .../VertexMultimodalDatasetDestination.cs | 65 + Google.GenAI/types/WebhookConfig.cs | 67 + README.md | 89 +- releases.txt | 4 + 87 files changed, 3455 insertions(+), 4740 deletions(-) create mode 100644 Google.GenAI.E2E.Tests/GenerateContent/GenerateContentSimpleTestCustomClient.cs create mode 100644 Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentInlinePdfDocumentOcrVertexTest.json create mode 100644 Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentInlineVideoAudioTrackExtractionVertexTest.json create mode 100644 Google.GenAI.E2E.Tests/Recordings/GenerateContentSimpleTestCustomClient.GenerateContentSimpleTextGeminiTest.json create mode 100644 Google.GenAI.E2E.Tests/Recordings/GenerateContentSimpleTestCustomClient.GenerateContentSimpleTextVertexTest.json delete mode 100644 Google.GenAI.E2E.Tests/Recordings/ListTuningsTest.ListTuningsGeminiTest.json create mode 100644 Google.GenAI.E2E.Tests/TestAssets/animal.mp4 create mode 100644 Google.GenAI.E2E.Tests/TestAssets/story.pdf create mode 100644 Google.GenAI/types/AvatarConfig.cs create mode 100644 Google.GenAI/types/ClientOptions.cs create mode 100644 Google.GenAI/types/CustomizedAvatar.cs create mode 100644 Google.GenAI/types/VertexMultimodalDatasetDestination.cs create mode 100644 Google.GenAI/types/WebhookConfig.cs create mode 100644 releases.txt diff --git a/DemoApp/Files/packages.lock.json b/DemoApp/Files/packages.lock.json index 8b1628f9..65a44e57 100644 --- a/DemoApp/Files/packages.lock.json +++ b/DemoApp/Files/packages.lock.json @@ -51,7 +51,9 @@ "dependencies": { "Google.Apis.Auth": "[1.69.0, )", "Microsoft.Extensions.AI.Abstractions": "[10.4.0, )", - "MimeTypes": "[2.5.2, )" + "MimeTypes": "[2.5.2, )", + "System.Collections.Immutable": "[9.0.0, )", + "System.Net.ServerSentEvents": "[9.0.0, )" } }, "Google.Apis.Auth": { @@ -80,6 +82,18 @@ "resolved": "2.5.2", "contentHash": "vm4xrNt+i6OVRQ8vhfCcmDIUg3qvjyCTkSTNVTDFohsG6CXEpMaVFkidECL6yRYpHDnz4TqXhDoEQAcnHCu/tw==" }, + "System.Collections.Immutable": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "QhkXUl2gNrQtvPmtBTQHb0YsUrDiDQ2QS09YbtTTiSjGcf7NBqtYbrG/BE06zcBPCKEwQGzIv13IVdXNOSub2w==" + }, + "System.Net.ServerSentEvents": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "VTWjeyx9nPb4+hkjGcAaDw1nOckypMtvABmxSWm6PPYwrXoIiVG3jwtNlAGhaGVjDkBrERABox67wYTAcHxg7Q==" + }, "System.Text.Json": { "type": "CentralTransitive", "requested": "[10.0.4, )", diff --git a/DemoApp/GenerateContentSimpleText/packages.lock.json b/DemoApp/GenerateContentSimpleText/packages.lock.json index 8b1628f9..65a44e57 100644 --- a/DemoApp/GenerateContentSimpleText/packages.lock.json +++ b/DemoApp/GenerateContentSimpleText/packages.lock.json @@ -51,7 +51,9 @@ "dependencies": { "Google.Apis.Auth": "[1.69.0, )", "Microsoft.Extensions.AI.Abstractions": "[10.4.0, )", - "MimeTypes": "[2.5.2, )" + "MimeTypes": "[2.5.2, )", + "System.Collections.Immutable": "[9.0.0, )", + "System.Net.ServerSentEvents": "[9.0.0, )" } }, "Google.Apis.Auth": { @@ -80,6 +82,18 @@ "resolved": "2.5.2", "contentHash": "vm4xrNt+i6OVRQ8vhfCcmDIUg3qvjyCTkSTNVTDFohsG6CXEpMaVFkidECL6yRYpHDnz4TqXhDoEQAcnHCu/tw==" }, + "System.Collections.Immutable": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "QhkXUl2gNrQtvPmtBTQHb0YsUrDiDQ2QS09YbtTTiSjGcf7NBqtYbrG/BE06zcBPCKEwQGzIv13IVdXNOSub2w==" + }, + "System.Net.ServerSentEvents": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "VTWjeyx9nPb4+hkjGcAaDw1nOckypMtvABmxSWm6PPYwrXoIiVG3jwtNlAGhaGVjDkBrERABox67wYTAcHxg7Q==" + }, "System.Text.Json": { "type": "CentralTransitive", "requested": "[10.0.4, )", diff --git a/DemoApp/GenerateContentStreamSimpleText/packages.lock.json b/DemoApp/GenerateContentStreamSimpleText/packages.lock.json index 8b1628f9..65a44e57 100644 --- a/DemoApp/GenerateContentStreamSimpleText/packages.lock.json +++ b/DemoApp/GenerateContentStreamSimpleText/packages.lock.json @@ -51,7 +51,9 @@ "dependencies": { "Google.Apis.Auth": "[1.69.0, )", "Microsoft.Extensions.AI.Abstractions": "[10.4.0, )", - "MimeTypes": "[2.5.2, )" + "MimeTypes": "[2.5.2, )", + "System.Collections.Immutable": "[9.0.0, )", + "System.Net.ServerSentEvents": "[9.0.0, )" } }, "Google.Apis.Auth": { @@ -80,6 +82,18 @@ "resolved": "2.5.2", "contentHash": "vm4xrNt+i6OVRQ8vhfCcmDIUg3qvjyCTkSTNVTDFohsG6CXEpMaVFkidECL6yRYpHDnz4TqXhDoEQAcnHCu/tw==" }, + "System.Collections.Immutable": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "QhkXUl2gNrQtvPmtBTQHb0YsUrDiDQ2QS09YbtTTiSjGcf7NBqtYbrG/BE06zcBPCKEwQGzIv13IVdXNOSub2w==" + }, + "System.Net.ServerSentEvents": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "VTWjeyx9nPb4+hkjGcAaDw1nOckypMtvABmxSWm6PPYwrXoIiVG3jwtNlAGhaGVjDkBrERABox67wYTAcHxg7Q==" + }, "System.Text.Json": { "type": "CentralTransitive", "requested": "[10.0.4, )", diff --git a/DemoApp/JsonParser/packages.lock.json b/DemoApp/JsonParser/packages.lock.json index 8b1628f9..65a44e57 100644 --- a/DemoApp/JsonParser/packages.lock.json +++ b/DemoApp/JsonParser/packages.lock.json @@ -51,7 +51,9 @@ "dependencies": { "Google.Apis.Auth": "[1.69.0, )", "Microsoft.Extensions.AI.Abstractions": "[10.4.0, )", - "MimeTypes": "[2.5.2, )" + "MimeTypes": "[2.5.2, )", + "System.Collections.Immutable": "[9.0.0, )", + "System.Net.ServerSentEvents": "[9.0.0, )" } }, "Google.Apis.Auth": { @@ -80,6 +82,18 @@ "resolved": "2.5.2", "contentHash": "vm4xrNt+i6OVRQ8vhfCcmDIUg3qvjyCTkSTNVTDFohsG6CXEpMaVFkidECL6yRYpHDnz4TqXhDoEQAcnHCu/tw==" }, + "System.Collections.Immutable": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "QhkXUl2gNrQtvPmtBTQHb0YsUrDiDQ2QS09YbtTTiSjGcf7NBqtYbrG/BE06zcBPCKEwQGzIv13IVdXNOSub2w==" + }, + "System.Net.ServerSentEvents": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "VTWjeyx9nPb4+hkjGcAaDw1nOckypMtvABmxSWm6PPYwrXoIiVG3jwtNlAGhaGVjDkBrERABox67wYTAcHxg7Q==" + }, "System.Text.Json": { "type": "CentralTransitive", "requested": "[10.0.4, )", diff --git a/DemoApp/LiveAudioToAudioRealtimeInput/packages.lock.json b/DemoApp/LiveAudioToAudioRealtimeInput/packages.lock.json index 8b1628f9..65a44e57 100644 --- a/DemoApp/LiveAudioToAudioRealtimeInput/packages.lock.json +++ b/DemoApp/LiveAudioToAudioRealtimeInput/packages.lock.json @@ -51,7 +51,9 @@ "dependencies": { "Google.Apis.Auth": "[1.69.0, )", "Microsoft.Extensions.AI.Abstractions": "[10.4.0, )", - "MimeTypes": "[2.5.2, )" + "MimeTypes": "[2.5.2, )", + "System.Collections.Immutable": "[9.0.0, )", + "System.Net.ServerSentEvents": "[9.0.0, )" } }, "Google.Apis.Auth": { @@ -80,6 +82,18 @@ "resolved": "2.5.2", "contentHash": "vm4xrNt+i6OVRQ8vhfCcmDIUg3qvjyCTkSTNVTDFohsG6CXEpMaVFkidECL6yRYpHDnz4TqXhDoEQAcnHCu/tw==" }, + "System.Collections.Immutable": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "QhkXUl2gNrQtvPmtBTQHb0YsUrDiDQ2QS09YbtTTiSjGcf7NBqtYbrG/BE06zcBPCKEwQGzIv13IVdXNOSub2w==" + }, + "System.Net.ServerSentEvents": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "VTWjeyx9nPb4+hkjGcAaDw1nOckypMtvABmxSWm6PPYwrXoIiVG3jwtNlAGhaGVjDkBrERABox67wYTAcHxg7Q==" + }, "System.Text.Json": { "type": "CentralTransitive", "requested": "[10.0.4, )", diff --git a/DemoApp/LiveTextToTextClientContent/packages.lock.json b/DemoApp/LiveTextToTextClientContent/packages.lock.json index 8b1628f9..65a44e57 100644 --- a/DemoApp/LiveTextToTextClientContent/packages.lock.json +++ b/DemoApp/LiveTextToTextClientContent/packages.lock.json @@ -51,7 +51,9 @@ "dependencies": { "Google.Apis.Auth": "[1.69.0, )", "Microsoft.Extensions.AI.Abstractions": "[10.4.0, )", - "MimeTypes": "[2.5.2, )" + "MimeTypes": "[2.5.2, )", + "System.Collections.Immutable": "[9.0.0, )", + "System.Net.ServerSentEvents": "[9.0.0, )" } }, "Google.Apis.Auth": { @@ -80,6 +82,18 @@ "resolved": "2.5.2", "contentHash": "vm4xrNt+i6OVRQ8vhfCcmDIUg3qvjyCTkSTNVTDFohsG6CXEpMaVFkidECL6yRYpHDnz4TqXhDoEQAcnHCu/tw==" }, + "System.Collections.Immutable": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "QhkXUl2gNrQtvPmtBTQHb0YsUrDiDQ2QS09YbtTTiSjGcf7NBqtYbrG/BE06zcBPCKEwQGzIv13IVdXNOSub2w==" + }, + "System.Net.ServerSentEvents": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "VTWjeyx9nPb4+hkjGcAaDw1nOckypMtvABmxSWm6PPYwrXoIiVG3jwtNlAGhaGVjDkBrERABox67wYTAcHxg7Q==" + }, "System.Text.Json": { "type": "CentralTransitive", "requested": "[10.0.4, )", diff --git a/DemoApp/LiveToolCall/packages.lock.json b/DemoApp/LiveToolCall/packages.lock.json index 8b1628f9..65a44e57 100644 --- a/DemoApp/LiveToolCall/packages.lock.json +++ b/DemoApp/LiveToolCall/packages.lock.json @@ -51,7 +51,9 @@ "dependencies": { "Google.Apis.Auth": "[1.69.0, )", "Microsoft.Extensions.AI.Abstractions": "[10.4.0, )", - "MimeTypes": "[2.5.2, )" + "MimeTypes": "[2.5.2, )", + "System.Collections.Immutable": "[9.0.0, )", + "System.Net.ServerSentEvents": "[9.0.0, )" } }, "Google.Apis.Auth": { @@ -80,6 +82,18 @@ "resolved": "2.5.2", "contentHash": "vm4xrNt+i6OVRQ8vhfCcmDIUg3qvjyCTkSTNVTDFohsG6CXEpMaVFkidECL6yRYpHDnz4TqXhDoEQAcnHCu/tw==" }, + "System.Collections.Immutable": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "QhkXUl2gNrQtvPmtBTQHb0YsUrDiDQ2QS09YbtTTiSjGcf7NBqtYbrG/BE06zcBPCKEwQGzIv13IVdXNOSub2w==" + }, + "System.Net.ServerSentEvents": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "VTWjeyx9nPb4+hkjGcAaDw1nOckypMtvABmxSWm6PPYwrXoIiVG3jwtNlAGhaGVjDkBrERABox67wYTAcHxg7Q==" + }, "System.Text.Json": { "type": "CentralTransitive", "requested": "[10.0.4, )", diff --git a/Google.GenAI.E2E.Tests/Batches/CancelBatchTest.cs b/Google.GenAI.E2E.Tests/Batches/CancelBatchTest.cs index 73c6478b..595b514a 100644 --- a/Google.GenAI.E2E.Tests/Batches/CancelBatchTest.cs +++ b/Google.GenAI.E2E.Tests/Batches/CancelBatchTest.cs @@ -27,7 +27,7 @@ public class CancelBatchTest { private static TestServerProcess? _server; - private Client vertexClient; + private Client enterpriseClient; private Client geminiClient; private string modelName; public TestContext TestContext { get; set; } @@ -57,7 +57,7 @@ public void TestInit() $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1453" }; - var vertexClientHttpOptions = new HttpOptions { + var enterpriseClientHttpOptions = new HttpOptions { Headers = new Dictionary { { "Test-Name", $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1454" @@ -68,11 +68,11 @@ public void TestInit() string location = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; string apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - vertexClient = new Client(project: project, location: location, vertexAI: true, + enterpriseClient = new Client(project: project, location: location, enterprise: true, credential: TestServer.GetCredentialForTestMode(), - httpOptions: vertexClientHttpOptions); + httpOptions: enterpriseClientHttpOptions); geminiClient = - new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class modelName = "gemini-2.5-flash"; @@ -95,8 +95,8 @@ public async Task CancelBatchJobVertexTest() Format = "jsonl" } }; - var response = await vertexClient.Batches.CreateAsync(modelName, src, config); - await vertexClient.Batches.CancelAsync(response.Name); + var response = await enterpriseClient.Batches.CreateAsync(modelName, src, config); + await enterpriseClient.Batches.CancelAsync(response.Name); } [TestMethod] diff --git a/Google.GenAI.E2E.Tests/Batches/EmbeddingBatchTest.cs b/Google.GenAI.E2E.Tests/Batches/EmbeddingBatchTest.cs index ea9a336c..b96ac5ed 100644 --- a/Google.GenAI.E2E.Tests/Batches/EmbeddingBatchTest.cs +++ b/Google.GenAI.E2E.Tests/Batches/EmbeddingBatchTest.cs @@ -27,7 +27,7 @@ public class EmbeddingBatchTest { private static TestServerProcess? _server; - private Client vertexClient; + private Client enterpriseClient; private Client geminiClient; private string modelName; public TestContext TestContext { get; set; } @@ -58,7 +58,7 @@ public void TestInit() $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1453" }; - var vertexClientHttpOptions = new HttpOptions + var enterpriseClientHttpOptions = new HttpOptions { Headers = new Dictionary { { "Test-Name", $"{GetType().Name}.{TestContext.TestName}" } }, @@ -69,11 +69,11 @@ public void TestInit() string location = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; string apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - vertexClient = new Client(project: project, location: location, vertexAI: true, + enterpriseClient = new Client(project: project, location: location, enterprise: true, credential: TestServer.GetCredentialForTestMode(), - httpOptions: vertexClientHttpOptions); + httpOptions: enterpriseClientHttpOptions); geminiClient = - new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class modelName = "gemini-embedding-001"; } @@ -120,7 +120,7 @@ public async Task CreateEmbeddingBatchWithInlinedRequestsVertexTest() }; await Assert.ThrowsExceptionAsync(async () => { - await vertexClient.Batches.CreateEmbeddingsAsync(modelName, src, null); + await enterpriseClient.Batches.CreateEmbeddingsAsync(modelName, src, null); }); } @@ -149,7 +149,7 @@ public async Task CreateEmbeddingBatchWithFileVertexTest() }; await Assert.ThrowsExceptionAsync(async () => { - await vertexClient.Batches.CreateEmbeddingsAsync(modelName, src, null); + await enterpriseClient.Batches.CreateEmbeddingsAsync(modelName, src, null); }); } } diff --git a/Google.GenAI.E2E.Tests/Caches/CreateCacheTest.cs b/Google.GenAI.E2E.Tests/Caches/CreateCacheTest.cs index c0ced1b9..bf58cc7e 100644 --- a/Google.GenAI.E2E.Tests/Caches/CreateCacheTest.cs +++ b/Google.GenAI.E2E.Tests/Caches/CreateCacheTest.cs @@ -30,7 +30,7 @@ public class CreateCacheTest { private static TestServerProcess? _server; - private Client vertexClient; + private Client enterpriseClient; private Client geminiClient; private string modelName; public TestContext TestContext { get; set; } @@ -60,7 +60,7 @@ public void TestInit() $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1453" }; - var vertexClientHttpOptions = new HttpOptions { + var enterpriseClientHttpOptions = new HttpOptions { Headers = new Dictionary { { "Test-Name", $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1454" @@ -71,11 +71,11 @@ public void TestInit() string location = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; string apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - vertexClient = new Client(project: project, location: location, vertexAI: true, + enterpriseClient = new Client(project: project, location: location, enterprise: true, credential: TestServer.GetCredentialForTestMode(), - httpOptions: vertexClientHttpOptions); + httpOptions: enterpriseClientHttpOptions); geminiClient = - new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class modelName = "gemini-2.5-flash"; @@ -108,7 +108,7 @@ public async Task CreateCacheGcsUriVertexTest() Ttl = "86400s" }; - var vertexResponse = await vertexClient.Caches.CreateAsync(model: modelName, config: config); + var vertexResponse = await enterpriseClient.Caches.CreateAsync(model: modelName, config: config); Assert.IsNotNull(vertexResponse); Assert.IsNotNull(vertexResponse.Name); @@ -186,7 +186,7 @@ public async Task CreateCacheGoogleAiFileVertexTest() }; await Assert.ThrowsExceptionAsync(async () => { - await vertexClient.Caches.CreateAsync(model: modelName, config: config); + await enterpriseClient.Caches.CreateAsync(model: modelName, config: config); }); } } diff --git a/Google.GenAI.E2E.Tests/Caches/UpdateCacheTest.cs b/Google.GenAI.E2E.Tests/Caches/UpdateCacheTest.cs index 10ed97ae..637fa4a1 100644 --- a/Google.GenAI.E2E.Tests/Caches/UpdateCacheTest.cs +++ b/Google.GenAI.E2E.Tests/Caches/UpdateCacheTest.cs @@ -30,7 +30,7 @@ public class UpdateCacheTest { private static TestServerProcess? _server; - private Client vertexClient; + private Client enterpriseClient; private Client geminiClient; private string modelName; public TestContext TestContext { get; set; } @@ -60,7 +60,7 @@ public void TestInit() $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1453" }; - var vertexClientHttpOptions = new HttpOptions { + var enterpriseClientHttpOptions = new HttpOptions { Headers = new Dictionary { { "Test-Name", $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1454" @@ -71,11 +71,11 @@ public void TestInit() string location = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; string apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - vertexClient = new Client(project: project, location: location, vertexAI: true, + enterpriseClient = new Client(project: project, location: location, enterprise: true, credential: TestServer.GetCredentialForTestMode(), - httpOptions: vertexClientHttpOptions); + httpOptions: enterpriseClientHttpOptions); geminiClient = - new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class modelName = "gemini-2.5-flash"; @@ -107,11 +107,11 @@ public async Task UpdateCacheVertexTest() Ttl = "600s" }; - var created = await vertexClient.Caches.CreateAsync(modelName, config); + var created = await enterpriseClient.Caches.CreateAsync(modelName, config); Assert.IsNotNull(created); var updateConfig = new UpdateCachedContentConfig { Ttl = "1200s" }; - var updated = await vertexClient.Caches.UpdateAsync(created.Name, updateConfig); + var updated = await enterpriseClient.Caches.UpdateAsync(created.Name, updateConfig); Assert.IsNotNull(updated); } diff --git a/Google.GenAI.E2E.Tests/ComputeTokens/ComputeTokensTest.cs b/Google.GenAI.E2E.Tests/ComputeTokens/ComputeTokensTest.cs index f8fe2c07..4427874b 100644 --- a/Google.GenAI.E2E.Tests/ComputeTokens/ComputeTokensTest.cs +++ b/Google.GenAI.E2E.Tests/ComputeTokens/ComputeTokensTest.cs @@ -118,7 +118,7 @@ public async Task ComputeTokensGeminiTest() { model: modelName, contents: contents, config: null); }); - StringAssert.Contains(ex.Message, "only supported in the Vertex AI"); + StringAssert.Contains(ex.Message, "only supported in the Gemini Enterprise Agent Platform"); } [TestMethod] diff --git a/Google.GenAI.E2E.Tests/EditImage/EditImageErrorHandlingTest.cs b/Google.GenAI.E2E.Tests/EditImage/EditImageErrorHandlingTest.cs index 6fdc0265..9b9f3083 100644 --- a/Google.GenAI.E2E.Tests/EditImage/EditImageErrorHandlingTest.cs +++ b/Google.GenAI.E2E.Tests/EditImage/EditImageErrorHandlingTest.cs @@ -29,7 +29,7 @@ [TestClass] public class EditImageErrorHandlingTest { private static TestServerProcess? _server; - private Client vertexClient; + private Client enterpriseClient; private Client geminiClient; private string modelName; public TestContext TestContext { get; set; } @@ -54,7 +54,7 @@ public void TestInit() { $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1453" }; - var vertexClientHttpOptions = new HttpOptions { + var enterpriseClientHttpOptions = new HttpOptions { Headers = new Dictionary { { "Test-Name", $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1454" @@ -65,11 +65,11 @@ public void TestInit() { string location = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; string apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - vertexClient = new Client(project: project, location: location, vertexAI: true, + enterpriseClient = new Client(project: project, location: location, enterprise: true, credential: TestServer.GetCredentialForTestMode(), - httpOptions: vertexClientHttpOptions); + httpOptions: enterpriseClientHttpOptions); geminiClient = - new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class modelName = "imagen-3.0-capability-002"; @@ -96,7 +96,7 @@ public async Task EditImageWrongModelNameVertexTest() { }; var ex = await Assert.ThrowsExceptionAsync(async () => { - await vertexClient.Models.EditImageAsync( + await enterpriseClient.Models.EditImageAsync( model: "wrong-model-name", prompt: "Generate an image in glowing style [1] based on the following caption: A church in the mountain.", referenceImages: referenceImages, @@ -136,7 +136,7 @@ await geminiClient.Models.EditImageAsync( config: editImageConfig); }); - StringAssert.Contains(ex.Message, "only supported in the Vertex AI client"); + StringAssert.Contains(ex.Message, "only supported in the Gemini Enterprise Agent Platform"); } [TestMethod] diff --git a/Google.GenAI.E2E.Tests/EmbedContent/EmbedContentTest.cs b/Google.GenAI.E2E.Tests/EmbedContent/EmbedContentTest.cs index f5439a5e..e743d280 100644 --- a/Google.GenAI.E2E.Tests/EmbedContent/EmbedContentTest.cs +++ b/Google.GenAI.E2E.Tests/EmbedContent/EmbedContentTest.cs @@ -74,8 +74,8 @@ public void TestInit() { new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class - modelName = "text-embedding-004"; - multimodalModelName = "gemini-embedding-2-exp-11-2025"; + modelName = "gemini-embedding-001"; + multimodalModelName = "gemini-embedding-2-preview"; } [TestMethod] @@ -84,7 +84,7 @@ public async Task EmbedContentSimpleTextVertexTest() { new Content { Parts = new List { new Part { Text = "What is your name?" } } } }; var vertexResponse = await vertexClient.Models.EmbedContentAsync( - model: modelName, contents: contents, config: null); + model: modelName, contents: contents, config: new EmbedContentConfig { OutputDimensionality = 10 }); Assert.IsNotNull(vertexResponse.Embeddings); } @@ -95,7 +95,7 @@ public async Task EmbedContentSimpleTextGeminiTest() { new Content { Parts = new List { new Part { Text = "What is your name?" } } } }; var geminiResponse = await geminiClient.Models.EmbedContentAsync( - model: modelName, contents: contents, config: null); + model: modelName, contents: contents, config: new EmbedContentConfig { OutputDimensionality = 10 }); Assert.IsNotNull(geminiResponse.Embeddings); } @@ -103,7 +103,7 @@ public async Task EmbedContentSimpleTextGeminiTest() { [TestMethod] public async Task EmbedContentSingleStringVertexTest() { var vertexResponse = await vertexClient.Models.EmbedContentAsync( - model: modelName, contents: "What is your name?", config: null); + model: modelName, contents: "What is your name?", config: new EmbedContentConfig { OutputDimensionality = 10 }); Assert.IsNotNull(vertexResponse.Embeddings); } @@ -111,7 +111,7 @@ public async Task EmbedContentSingleStringVertexTest() { [TestMethod] public async Task EmbedContentSingleStringGeminiTest() { var geminiResponse = await geminiClient.Models.EmbedContentAsync( - model: modelName, contents: "What is your name?", config: null); + model: modelName, contents: "What is your name?", config: new EmbedContentConfig { OutputDimensionality = 10 }); Assert.IsNotNull(geminiResponse.Embeddings); } @@ -231,7 +231,7 @@ public async Task EmbedContentNewApiTextOnlyVertexTest() new Content { Parts = new List { new Part { Text = "What is your name?" } } } }; var config = new EmbedContentConfig { - OutputDimensionality = 100, + OutputDimensionality = 10, }; var vertexResponse = await vertexClient.Models.EmbedContentAsync( model: multimodalModelName, contents: contents, config: config); @@ -247,7 +247,7 @@ public async Task EmbedContentNewApiMaasVertexTest() new Content { Parts = new List { new Part { Text = "What is your name?" } } } }; var config = new EmbedContentConfig { - OutputDimensionality = 100, + OutputDimensionality = 10, }; var vertexResponse = await vertexClient.Models.EmbedContentAsync( model: "publishers/intfloat/models/multilingual-e5-large-instruct-maas", contents: contents, config: config); @@ -299,4 +299,40 @@ public async Task EmbedContentNewApiListOfContentsVertexTest() Assert.IsTrue(exception.Message.Contains("The embedContent API for this model only supports one content at a time.")); } + + [TestMethod] + public async Task EmbedContentInlinePdfDocumentOcrVertexTest() + { + byte[] fileBytes = await System.IO.File.ReadAllBytesAsync("TestAssets/story.pdf"); + var contents = new List { + new Content { Parts = new List { Part.FromBytes(fileBytes, "application/pdf") } } + }; + var config = new EmbedContentConfig { + OutputDimensionality = 10, + DocumentOcr = true + }; + var vertexResponse = await vertexClient.Models.EmbedContentAsync( + model: multimodalModelName, contents: contents, config: config); + + Assert.IsNotNull(vertexResponse); + Assert.IsNotNull(vertexResponse.Embeddings); + } + + [TestMethod] + public async Task EmbedContentInlineVideoAudioTrackExtractionVertexTest() + { + byte[] fileBytes = await System.IO.File.ReadAllBytesAsync("TestAssets/animal.mp4"); + var contents = new List { + new Content { Parts = new List { Part.FromBytes(fileBytes, "video/mp4") } } + }; + var config = new EmbedContentConfig { + OutputDimensionality = 10, + AudioTrackExtraction = true + }; + var vertexResponse = await vertexClient.Models.EmbedContentAsync( + model: multimodalModelName, contents: contents, config: config); + + Assert.IsNotNull(vertexResponse); + Assert.IsNotNull(vertexResponse.Embeddings); + } } diff --git a/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentEnumTest.cs b/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentEnumTest.cs index 5c7d023b..f90d352c 100644 --- a/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentEnumTest.cs +++ b/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentEnumTest.cs @@ -29,7 +29,7 @@ [TestClass] public class GenerateContentEnumTest { private static TestServerProcess? _server; - private Client vertexClient; + private Client enterpriseClient; private Client geminiClient; private string modelName; public TestContext TestContext { get; set; } @@ -55,7 +55,7 @@ public void TestInit() { $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1453" }; - var vertexClientHttpOptions = new HttpOptions { + var enterpriseClientHttpOptions = new HttpOptions { Headers = new Dictionary { { "Test-Name", $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1454" @@ -66,11 +66,11 @@ public void TestInit() { string location = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; string apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - vertexClient = new Client(project: project, location: location, vertexAI: true, + enterpriseClient = new Client(project: project, location: location, enterprise: true, credential: TestServer.GetCredentialForTestMode(), - httpOptions: vertexClientHttpOptions); + httpOptions: enterpriseClientHttpOptions); geminiClient = - new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class modelName = "gemini-2.0-flash"; @@ -110,7 +110,7 @@ public async Task GenerateContentSafetySettingsVertexTest() { var generateContentConfig = new GenerateContentConfig { SafetySettings = new List(safetySettings) }; - var vertexResponse = await vertexClient.Models.GenerateContentAsync( + var vertexResponse = await enterpriseClient.Models.GenerateContentAsync( model: modelName, contents: "What hate speech is prohibited by responsible AI?", config: generateContentConfig); diff --git a/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentErrorHandlingTest.cs b/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentErrorHandlingTest.cs index 04f2b8f6..3cf4d93f 100644 --- a/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentErrorHandlingTest.cs +++ b/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentErrorHandlingTest.cs @@ -28,7 +28,7 @@ [TestClass] public class GenerateContentErrorHandlingTest { private static TestServerProcess? _server; - private Client vertexClient; + private Client enterpriseClient; private Client geminiClient; private string modelName; public TestContext TestContext { get; set; } @@ -53,7 +53,7 @@ public void TestInit() { $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1453" }; - var vertexClientHttpOptions = new HttpOptions { + var enterpriseClientHttpOptions = new HttpOptions { Headers = new Dictionary { { "Test-Name", $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1454" @@ -64,11 +64,11 @@ public void TestInit() { string location = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; string apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - vertexClient = new Client(project: project, location: location, vertexAI: true, + enterpriseClient = new Client(project: project, location: location, enterprise: true, credential: TestServer.GetCredentialForTestMode(), - httpOptions: vertexClientHttpOptions); + httpOptions: enterpriseClientHttpOptions); geminiClient = - new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class modelName = "gemini-2.0-flash"; @@ -77,7 +77,7 @@ public void TestInit() { [TestMethod] public async Task GenerateContentWrongModelNameVertexTest() { var ex = await Assert.ThrowsExceptionAsync(async () => { - await vertexClient.Models.GenerateContentAsync(model: "wrong-model-name", + await enterpriseClient.Models.GenerateContentAsync(model: "wrong-model-name", contents: "What is the capital of France?"); }); @@ -100,7 +100,7 @@ await geminiClient.Models.GenerateContentAsync(model: "wrong-model-name", [TestMethod] public async Task GenerateContentEnterpriseWebSearchVertexTest() { - var vertexResponse = await vertexClient.Models.GenerateContentAsync( + var vertexResponse = await enterpriseClient.Models.GenerateContentAsync( model: modelName, contents: new Content { Parts = new List { new Part { Text = "Why is the sky blue?" } }, @@ -139,7 +139,7 @@ await geminiClient.Models.GenerateContentAsync( [TestMethod] public async Task GenerateContentLabelsVertexTest() { - var vertexResponse = await vertexClient.Models.GenerateContentAsync( + var vertexResponse = await enterpriseClient.Models.GenerateContentAsync( model: modelName, contents: "What is the capital of France?", config: new GenerateContentConfig { Labels = new Dictionary { { "test-label-key", "test-label-value" } } diff --git a/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentResponseConfigTest.cs b/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentResponseConfigTest.cs index 2fc28b94..c25e5813 100644 --- a/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentResponseConfigTest.cs +++ b/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentResponseConfigTest.cs @@ -31,7 +31,7 @@ [TestClass] public class GenerateContentResponseConfigTest { private static TestServerProcess? _server; - private Client vertexClient; + private Client enterpriseClient; private Client geminiClient; private string modelName; private GoogleType.Schema countryInfo = new GoogleType.Schema { @@ -87,7 +87,7 @@ public void TestInit() { $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1453" }; - var vertexClientHttpOptions = new GoogleType.HttpOptions { + var enterpriseClientHttpOptions = new GoogleType.HttpOptions { Headers = new Dictionary { { "Test-Name", $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1454" @@ -98,11 +98,11 @@ public void TestInit() { string location = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; string apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - vertexClient = new Client(project: project, location: location, vertexAI: true, + enterpriseClient = new Client(project: project, location: location, enterprise: true, credential: TestServer.GetCredentialForTestMode(), - httpOptions: vertexClientHttpOptions); + httpOptions: enterpriseClientHttpOptions); geminiClient = - new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class modelName = "gemini-2.0-flash"; @@ -110,7 +110,7 @@ public void TestInit() { [TestMethod] public async Task GenerateContentResponseSchemaVertexTest() { - var vertexResponse = await vertexClient.Models.GenerateContentAsync( + var vertexResponse = await enterpriseClient.Models.GenerateContentAsync( model: modelName, contents: "Give me information about Australia", config: new GoogleType.GenerateContentConfig { ResponseMimeType = "application/json", ResponseSchema = countryInfo }); @@ -146,7 +146,7 @@ public async Task GenerateContentResponseSchemaGeminiTest() { [TestMethod] public async Task GenerateContentResponseSchemaWithDefaultVertexTest() { - var vertexResponse = await vertexClient.Models.GenerateContentAsync( + var vertexResponse = await enterpriseClient.Models.GenerateContentAsync( model: modelName, contents: "Can you recommend a restaurant for me?", config: new GoogleType.GenerateContentConfig { ResponseMimeType = "application/json", ResponseSchema = restaurantInfo }); @@ -179,7 +179,7 @@ public async Task GenerateContentResponseSchemaWithDefaultGeminiTest() { } [TestMethod] public async Task GenerateContentResponseModalityImageVertexTest() { - var vertexResponse = await vertexClient.Models.GenerateContentAsync( + var vertexResponse = await enterpriseClient.Models.GenerateContentAsync( model: "gemini-2.0-flash-preview-image-generation", contents: "Can you generate an image of a cat?", config: new GoogleType.GenerateContentConfig { ResponseModalities = diff --git a/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentSimpleTest.cs b/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentSimpleTest.cs index ccc71db4..00290c57 100644 --- a/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentSimpleTest.cs +++ b/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentSimpleTest.cs @@ -29,7 +29,7 @@ [TestClass] public class GenerateContentSimpleTest { private static TestServerProcess? _server; - private Client vertexClient; + private Client enterpriseClient; private Client geminiClient; private string modelName; public TestContext TestContext { get; set; } @@ -55,7 +55,7 @@ public void TestInit() { $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1453" }; - var vertexClientHttpOptions = new HttpOptions { + var enterpriseClientHttpOptions = new HttpOptions { Headers = new Dictionary { { "Test-Name", $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1454" @@ -66,11 +66,11 @@ public void TestInit() { string location = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; string apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - vertexClient = new Client(project: project, location: location, vertexAI: true, + enterpriseClient = new Client(project: project, location: location, enterprise: true, credential: TestServer.GetCredentialForTestMode(), - httpOptions: vertexClientHttpOptions); + httpOptions: enterpriseClientHttpOptions); geminiClient = - new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class modelName = "gemini-2.0-flash"; @@ -78,7 +78,7 @@ public void TestInit() { [TestMethod] public async Task GenerateContentSimpleTextVertexTest() { - var vertexResponse = await vertexClient.Models.GenerateContentAsync( + var vertexResponse = await enterpriseClient.Models.GenerateContentAsync( model: modelName, contents: "What is the capital of France?"); Assert.IsNotNull(vertexResponse.Candidates); @@ -99,7 +99,7 @@ public async Task GenerateContentSystemInstructionVertexTest() { var generateContentConfig = new GenerateContentConfig { SystemInstruction = new Content { Parts = new List { new Part { Text = "I say high you say low." } } } }; - var vertexResponse = await vertexClient.Models.GenerateContentAsync( + var vertexResponse = await enterpriseClient.Models.GenerateContentAsync( model: modelName, contents: "high", config: generateContentConfig); Assert.IsNotNull(vertexResponse.Candidates); @@ -123,7 +123,7 @@ public async Task GenerateContentGenerationConfigVertexTest() { var generateContentConfig = new GenerateContentConfig { Temperature = 0.5, TopP = 0.9, MaxOutputTokens = 100, ResponseModalities = new List { "TEXT" } }; - var vertexResponse = await vertexClient.Models.GenerateContentAsync( + var vertexResponse = await enterpriseClient.Models.GenerateContentAsync( model: modelName, contents: "Why is the sky blue?", config: generateContentConfig); Assert.IsNotNull(vertexResponse.Candidates); @@ -170,7 +170,7 @@ public async Task GenerateContentSafetySettingsVertexTest() { var generateContentConfig = new GenerateContentConfig { SafetySettings = new List(safetySettings) }; - var vertexResponse = await vertexClient.Models.GenerateContentAsync( + var vertexResponse = await enterpriseClient.Models.GenerateContentAsync( model: modelName, contents: "What hate speech is prohibited by responsible AI?", config: generateContentConfig); diff --git a/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentSimpleTestCustomClient.cs b/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentSimpleTestCustomClient.cs new file mode 100644 index 00000000..e45cec07 --- /dev/null +++ b/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentSimpleTestCustomClient.cs @@ -0,0 +1,107 @@ +/* + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +using System; +using System.Collections.Generic; +using System.Linq; +using System.Net.Http; +using System.Threading.Tasks; + +using Google.GenAI; +using Google.GenAI.Types; + +using Microsoft.VisualStudio.TestTools.UnitTesting; + +using TestServerSdk; + +[TestClass] +public class GenerateContentSimpleTestCustomClient { + private static TestServerProcess? _server; + private Client enterpriseClient; + private Client geminiClient; + private string modelName; + public TestContext TestContext { get; set; } + + [ClassInitialize] + public static void ClassInit(TestContext _) { + _server = TestServer.StartTestServer(); + } + + [ClassCleanup] + public static void ClassCleanup() { + TestServer.StopTestServer(_server); + } + + [TestInitialize] + public void TestInit() { + // Test server specific setup. + if (_server == null) { + throw new InvalidOperationException("Test server is not initialized."); + } + var geminiClientHttpOptions = new HttpOptions { + Headers = new Dictionary { { "Test-Name", + $"{GetType().Name}.{TestContext.TestName}" } }, + BaseUrl = "http://localhost:1453" + }; + var enterpriseClientHttpOptions = new HttpOptions { + Headers = new Dictionary { { "Test-Name", + $"{GetType().Name}.{TestContext.TestName}" } }, + BaseUrl = "http://localhost:1454" + }; + + // Common setup for both clients. + string project = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_PROJECT"); + string location = + System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; + string apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); + enterpriseClient = new Client(project: project, location: location, enterprise: true, + credential: TestServer.GetCredentialForTestMode(), + httpOptions: enterpriseClientHttpOptions, + clientOptions: new ClientOptions { + HttpClientFactory = () => new HttpClient(new HttpClientHandler()) { + Timeout = TimeSpan.FromMinutes(5) + } + }); + geminiClient = + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions, + clientOptions: new ClientOptions { + HttpClientFactory = () => new HttpClient(new HttpClientHandler()) { + Timeout = TimeSpan.FromMinutes(5) + } + }); + + // Specific setup for this test class + modelName = "gemini-2.5-flash"; + } + + [TestMethod] + public async Task GenerateContentSimpleTextVertexTest() { + var vertexResponse = await enterpriseClient.Models.GenerateContentAsync( + model: modelName, contents: "What is the capital of France?"); + + Assert.IsNotNull(vertexResponse.Candidates); + StringAssert.Contains(vertexResponse.Text, "Paris"); + } + + [TestMethod] + public async Task GenerateContentSimpleTextGeminiTest() { + var geminiResponse = await geminiClient.Models.GenerateContentAsync( + model: modelName, contents: "What is the capital of France?"); + + Assert.IsNotNull(geminiResponse.Candidates); + StringAssert.Contains(geminiResponse.Text, "Paris"); + } +} diff --git a/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentStreamErrorHandlingTest.cs b/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentStreamErrorHandlingTest.cs index ef00bf1c..954a7095 100644 --- a/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentStreamErrorHandlingTest.cs +++ b/Google.GenAI.E2E.Tests/GenerateContent/GenerateContentStreamErrorHandlingTest.cs @@ -28,7 +28,7 @@ [TestClass] public class GenerateContentStreamErrorHandlingTest { private static TestServerProcess? _server; - private Client vertexClient; + private Client enterpriseClient; private Client geminiClient; private string modelName; public TestContext TestContext { get; set; } @@ -53,7 +53,7 @@ public void TestInit() { $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1453" }; - var vertexClientHttpOptions = new HttpOptions { + var enterpriseClientHttpOptions = new HttpOptions { Headers = new Dictionary { { "Test-Name", $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1454" @@ -64,11 +64,11 @@ public void TestInit() { string location = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; string apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - vertexClient = new Client(project: project, location: location, vertexAI: true, + enterpriseClient = new Client(project: project, location: location, enterprise: true, credential: TestServer.GetCredentialForTestMode(), - httpOptions: vertexClientHttpOptions); + httpOptions: enterpriseClientHttpOptions); geminiClient = - new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class modelName = "gemini-2.0-flash"; @@ -77,7 +77,7 @@ public void TestInit() { [TestMethod] public async Task GenerateContentStreamWrongModelNameVertexTest() { var ex = await Assert.ThrowsExceptionAsync(async () => { - await foreach (var chunk in vertexClient.Models.GenerateContentStreamAsync( + await foreach (var chunk in enterpriseClient.Models.GenerateContentStreamAsync( model: "wrong-model-name", contents: "What is the capital of France?")) {} }); @@ -101,7 +101,7 @@ public async Task GenerateContentStreamWrongModelNameGeminiTest() { [TestMethod] public async Task GenerateContentStreamEnterpriseWebSearchVertexTest() { GroundingMetadata? groundingMetadata = null; - await foreach (var chunk in vertexClient.Models.GenerateContentStreamAsync( + await foreach (var chunk in enterpriseClient.Models.GenerateContentStreamAsync( model: modelName, contents: new Content { Parts = new List { new Part { Text = "Why is the sky blue?" @@ -144,7 +144,7 @@ public async Task GenerateContentStreamEnterpriseWebSearchGeminiTest() { [TestMethod] public async Task GenerateContentStreamLabelsVertexTest() { - await foreach (var chunk in vertexClient.Models.GenerateContentStreamAsync( + await foreach (var chunk in enterpriseClient.Models.GenerateContentStreamAsync( model: modelName, contents: "What is the capital of France?", config: new GenerateContentConfig { Labels = new Dictionary { { "test-label-key", "test-label-value" } diff --git a/Google.GenAI.E2E.Tests/GenerateImages/GenerateImagesErrorHandlingTest.cs b/Google.GenAI.E2E.Tests/GenerateImages/GenerateImagesErrorHandlingTest.cs index e9097a7a..10fa9643 100644 --- a/Google.GenAI.E2E.Tests/GenerateImages/GenerateImagesErrorHandlingTest.cs +++ b/Google.GenAI.E2E.Tests/GenerateImages/GenerateImagesErrorHandlingTest.cs @@ -28,7 +28,7 @@ [TestClass] public class GenerateImagesErrorHandlingTest { private static TestServerProcess? _server; - private Client vertexClient; + private Client enterpriseClient; private Client geminiClient; private string modelName; public TestContext TestContext { get; set; } @@ -53,7 +53,7 @@ public void TestInit() { $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1453" }; - var vertexClientHttpOptions = new HttpOptions { + var enterpriseClientHttpOptions = new HttpOptions { Headers = new Dictionary { { "Test-Name", $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1454" @@ -64,11 +64,11 @@ public void TestInit() { string location = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; string apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - vertexClient = new Client(project: project, location: location, vertexAI: true, + enterpriseClient = new Client(project: project, location: location, enterprise: true, credential: TestServer.GetCredentialForTestMode(), - httpOptions: vertexClientHttpOptions); + httpOptions: enterpriseClientHttpOptions); geminiClient = - new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class modelName = "imagen-4.0-generate-001"; @@ -77,7 +77,7 @@ public void TestInit() { [TestMethod] public async Task GenerateImagesWrongModelNameVertexTest() { var ex = await Assert.ThrowsExceptionAsync(async () => { - await vertexClient.Models.GenerateImagesAsync(model: "wrong-model-name", + await enterpriseClient.Models.GenerateImagesAsync(model: "wrong-model-name", prompt: "Red skateboard", config: null); }); @@ -101,7 +101,7 @@ await geminiClient.Models.GenerateImagesAsync(model: "wrong-model-name", [TestMethod] public async Task GenerateImagesBlockedVertexTest() { var vertexResponse = - await vertexClient.Models.GenerateImagesAsync(model: modelName, prompt: "Violence and gore", + await enterpriseClient.Models.GenerateImagesAsync(model: modelName, prompt: "Violence and gore", config: new GenerateImagesConfig { NumberOfImages = 1, IncludeRaiReason = true, diff --git a/Google.GenAI.E2E.Tests/Live/ErrorHandlingTests.cs b/Google.GenAI.E2E.Tests/Live/ErrorHandlingTests.cs index 403d7f6a..68629a08 100644 --- a/Google.GenAI.E2E.Tests/Live/ErrorHandlingTests.cs +++ b/Google.GenAI.E2E.Tests/Live/ErrorHandlingTests.cs @@ -30,7 +30,7 @@ [TestClass] public class ErrorHandlingTests { private static TestServerProcess? _server; - private Client vertexClient = null!; + private Client enterpriseClient = null!; private Client geminiClient = null!; private string vertexModelName = null!; private string geminiModelName = null!; @@ -57,7 +57,7 @@ public void TestInit() { $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1453" }; - var vertexClientHttpOptions = new GoogleType.HttpOptions { + var enterpriseClientHttpOptions = new GoogleType.HttpOptions { Headers = new Dictionary { { "Test-Name", $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1454" @@ -68,11 +68,11 @@ public void TestInit() { string location = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; string? apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - vertexClient = new Client(project: project, location: location, vertexAI: true, + enterpriseClient = new Client(project: project, location: location, enterprise: true, credential: TestServer.GetCredentialForTestMode(), - httpOptions: vertexClientHttpOptions); + httpOptions: enterpriseClientHttpOptions); geminiClient = - new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class vertexModelName = "gemini-2.0-flash-live-preview-04-09"; @@ -102,7 +102,7 @@ await Assert.ThrowsExceptionAsync( [TestMethod] public async Task SendClientContentAsync_AfterSessionClosed_ThrowsExceptionVertexTest() { - var vertexSession = new SessionWithQueue(vertexClient, vertexModelName); + var vertexSession = new SessionWithQueue(enterpriseClient, vertexModelName); await vertexSession.InitializeSessionAsync(); var setupMessage = await vertexSession.ReceiveAsync(); @@ -142,7 +142,7 @@ await Assert.ThrowsExceptionAsync( [TestMethod] public async Task SendRealtimeInputAsync_AfterSessionClosed_ThrowsExceptionVertexTest() { - var vertexSession = new SessionWithQueue(vertexClient, vertexModelName); + var vertexSession = new SessionWithQueue(enterpriseClient, vertexModelName); await vertexSession.InitializeSessionAsync(); var setupMessage = await vertexSession.ReceiveAsync(); @@ -181,7 +181,7 @@ await Assert.ThrowsExceptionAsync( [TestMethod] public async Task SendToolResponseAsync_AfterSessionClosed_ThrowsExceptionVertexTest() { - var vertexSession = new SessionWithQueue(vertexClient, vertexModelName); + var vertexSession = new SessionWithQueue(enterpriseClient, vertexModelName); await vertexSession.InitializeSessionAsync(); var setupMessage = await vertexSession.ReceiveAsync(); @@ -215,7 +215,7 @@ public async Task CloseAsync_CalledMultipleTimes_DoesNotThrowGeminiTest() { [TestMethod] public async Task CloseAsync_CalledMultipleTimes_DoesNotThrowVertexTest() { - var vertexSession = new SessionWithQueue(vertexClient, vertexModelName); + var vertexSession = new SessionWithQueue(enterpriseClient, vertexModelName); await vertexSession.InitializeSessionAsync(); var setupMessage = await vertexSession.ReceiveAsync(); @@ -244,7 +244,7 @@ await Assert.ThrowsExceptionAsync( [TestMethod] public async Task ReceiveAsync_AfterSessionClosed_ThrowsExceptionVertexTest() { - var vertexSession = new SessionWithQueue(vertexClient, vertexModelName); + var vertexSession = new SessionWithQueue(enterpriseClient, vertexModelName); await vertexSession.InitializeSessionAsync(); var setupMessage = await vertexSession.ReceiveAsync(); diff --git a/Google.GenAI.E2E.Tests/Live/SendClientContentTest.cs b/Google.GenAI.E2E.Tests/Live/SendClientContentTest.cs index b518e47b..b76a57ca 100644 --- a/Google.GenAI.E2E.Tests/Live/SendClientContentTest.cs +++ b/Google.GenAI.E2E.Tests/Live/SendClientContentTest.cs @@ -29,7 +29,7 @@ [TestClass] public class SendClientContentTest { private static TestServerProcess? _server; - private Client vertexClient; + private Client enterpriseClient; private Client geminiClient; private string vertexModelName; private string geminiModelName; @@ -56,7 +56,7 @@ public void TestInit() { $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1453" }; - var vertexClientHttpOptions = new GoogleType.HttpOptions { + var enterpriseClientHttpOptions = new GoogleType.HttpOptions { Headers = new Dictionary { { "Test-Name", $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1454" @@ -67,11 +67,11 @@ public void TestInit() { string location = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; string apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - vertexClient = new Client(project: project, location: location, vertexAI: true, + enterpriseClient = new Client(project: project, location: location, enterprise: true, credential: TestServer.GetCredentialForTestMode(), - httpOptions: vertexClientHttpOptions); + httpOptions: enterpriseClientHttpOptions); geminiClient = - new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class vertexModelName = "gemini-2.0-flash-live-preview-04-09"; @@ -103,7 +103,7 @@ await geminiSession.SendClientContentAsync(new GoogleType.LiveSendClientContentP [TestMethod] public async Task SendClientContentSimpleTextVertexTest() { - var vertexSession = new SessionWithQueue(vertexClient, vertexModelName); + var vertexSession = new SessionWithQueue(enterpriseClient, vertexModelName); await vertexSession.InitializeSessionAsync(); await vertexSession.SendClientContentAsync(new GoogleType.LiveSendClientContentParameters { @@ -175,7 +175,7 @@ public async Task SendClientContentSystemInstructionVertexTest() { }, ResponseModalities = new List { GoogleType.Modality.Text } }; - var vertexSession = new SessionWithQueue(vertexClient, vertexModelName, config); + var vertexSession = new SessionWithQueue(enterpriseClient, vertexModelName, config); await vertexSession.InitializeSessionAsync(); await vertexSession.SendClientContentAsync(new GoogleType.LiveSendClientContentParameters { @@ -273,7 +273,7 @@ public async Task SendClientContentToolsVertexTest() { } } } } }; - var vertexSession = new SessionWithQueue(vertexClient, vertexModelName, config); + var vertexSession = new SessionWithQueue(enterpriseClient, vertexModelName, config); await vertexSession.InitializeSessionAsync(); await vertexSession.SendClientContentAsync(new GoogleType.LiveSendClientContentParameters { diff --git a/Google.GenAI.E2E.Tests/Live/SendToolResponseTest.cs b/Google.GenAI.E2E.Tests/Live/SendToolResponseTest.cs index 8383f08d..dab26090 100644 --- a/Google.GenAI.E2E.Tests/Live/SendToolResponseTest.cs +++ b/Google.GenAI.E2E.Tests/Live/SendToolResponseTest.cs @@ -27,7 +27,7 @@ [TestClass] public class SendToolResponseTest { private static TestServerProcess? _server; - private Client vertexClient; + private Client enterpriseClient; private Client geminiClient; private string vertexModelName; private string geminiModelName; @@ -54,7 +54,7 @@ public void TestInit() { $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1453" }; - var vertexClientHttpOptions = new GoogleType.HttpOptions { + var enterpriseClientHttpOptions = new GoogleType.HttpOptions { Headers = new Dictionary { { "Test-Name", $"{GetType().Name}.{TestContext.TestName}" } }, BaseUrl = "http://localhost:1454" @@ -64,11 +64,11 @@ public void TestInit() { string location = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION") ?? "us-central1"; string apiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - vertexClient = new Client(project: project, location: location, vertexAI: true, + enterpriseClient = new Client(project: project, location: location, enterprise: true, credential: TestServer.GetCredentialForTestMode(), - httpOptions: vertexClientHttpOptions); + httpOptions: enterpriseClientHttpOptions); geminiClient = - new Client(apiKey: apiKey, vertexAI: false, httpOptions: geminiClientHttpOptions); + new Client(apiKey: apiKey, enterprise: false, httpOptions: geminiClientHttpOptions); // Specific setup for this test class vertexModelName = "gemini-2.0-flash-live-preview-04-09"; @@ -99,7 +99,7 @@ await geminiSession.SendToolResponseAsync(new GoogleType.LiveSendToolResponsePar [TestMethod] public async Task SendToolResponseFunctionResponseVertexTest() { - var vertexSession = new SessionWithQueue(vertexClient, vertexModelName); + var vertexSession = new SessionWithQueue(enterpriseClient, vertexModelName); await vertexSession.InitializeSessionAsync(); var setupMessage = await vertexSession.ReceiveAsync(); diff --git a/Google.GenAI.E2E.Tests/Netstandard2_0Tests/packages.lock.json b/Google.GenAI.E2E.Tests/Netstandard2_0Tests/packages.lock.json index 4bfece9f..08a1cc11 100644 --- a/Google.GenAI.E2E.Tests/Netstandard2_0Tests/packages.lock.json +++ b/Google.GenAI.E2E.Tests/Netstandard2_0Tests/packages.lock.json @@ -220,14 +220,6 @@ "resolved": "7.0.0", "contentHash": "GLltyqEsE5/3IE+zYRP5sNa1l44qKl9v+bfdMcwg+M9qnQf47wK3H0SUR/T+3N4JEQXF3vV4CSuuo0rsg+nq2A==" }, - "System.Collections.Immutable": { - "type": "Transitive", - "resolved": "6.0.0", - "contentHash": "l4zZJ1WU2hqpQQHXz1rvC3etVZN+2DLmQMO79FhOTZHMn8tDRr+WU287sbomD0BETlmKDn0ygUgVy9k5xkkJdA==", - "dependencies": { - "System.Runtime.CompilerServices.Unsafe": "6.0.0" - } - }, "System.Diagnostics.DiagnosticSource": { "type": "Transitive", "resolved": "5.0.0", @@ -284,7 +276,9 @@ "dependencies": { "Google.Apis.Auth": "[1.69.0, )", "Microsoft.Extensions.AI.Abstractions": "[10.4.0, )", - "MimeTypes": "[2.5.2, )" + "MimeTypes": "[2.5.2, )", + "System.Collections.Immutable": "[9.0.0, )", + "System.Net.ServerSentEvents": "[9.0.0, )" } }, "Google.Apis.Auth": { @@ -312,6 +306,18 @@ "requested": "[2.5.2, )", "resolved": "2.5.2", "contentHash": "vm4xrNt+i6OVRQ8vhfCcmDIUg3qvjyCTkSTNVTDFohsG6CXEpMaVFkidECL6yRYpHDnz4TqXhDoEQAcnHCu/tw==" + }, + "System.Collections.Immutable": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "QhkXUl2gNrQtvPmtBTQHb0YsUrDiDQ2QS09YbtTTiSjGcf7NBqtYbrG/BE06zcBPCKEwQGzIv13IVdXNOSub2w==" + }, + "System.Net.ServerSentEvents": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "VTWjeyx9nPb4+hkjGcAaDw1nOckypMtvABmxSWm6PPYwrXoIiVG3jwtNlAGhaGVjDkBrERABox67wYTAcHxg7Q==" } } } diff --git a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentInlinePdfDocumentOcrVertexTest.json b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentInlinePdfDocumentOcrVertexTest.json new file mode 100644 index 00000000..60e67714 --- /dev/null +++ b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentInlinePdfDocumentOcrVertexTest.json @@ -0,0 +1,80 @@ +{ + "recordID": "EmbedContentTest.EmbedContentInlinePdfDocumentOcrVertexTest", + "interactions": [ + { + "request": { + "method": "POST", + "url": "/v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-2-preview:embedContent", + "request": "POST /v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-2-preview:embedContent HTTP/1.1", + "headers": { + "Content-Length": "56633", + "Content-Type": "application/json; charset=utf-8", + "Test-Name": "EmbedContentTest.EmbedContentInlinePdfDocumentOcrVertexTest" + }, + "bodySegments": [ + { + "content": { + "parts": [ + { + "inlineData": { + "data": 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+ "mimeType": "video/mp4" + } + } + ] + }, + "embedContentConfig": { + "audioTrackExtraction": true, + "outputDimensionality": 10 + } + } + ], + "previousRequest": "b4d6e60a9b97e7b98c63df9308728c5c88c0b40c398046772c63447b94608b4d", + "serverAddress": "us-central1-aiplatform.googleapis.com", + "port": 443, + "protocol": "https" + }, + "shaSum": "5ebc2e823c5c2d43c63194faa904bcd1202e5695e536437e4ae49d7ada3d309e", + "response": { + "statusCode": 200, + "headers": { + "Content-Type": "application/json; charset=UTF-8", + "Date": "Thu, 09 Apr 2026 18:58:38 GMT", + "Server": "scaffolding on HTTPServer2", + "Vary": "Origin, X-Origin, Referer", + "X-Content-Type-Options": "nosniff", + "X-Frame-Options": "SAMEORIGIN", + "X-Xss-Protection": "0" + }, + "bodySegments": [ + { + "embedding": { + "values": [ + -0.11876981, + 0.25134242, + -0.16419306, + 0.3541246, + 0.28652304, + 0.26436266, + 0.06329377, + -0.61284727, + 0.123454325, + -0.4728058 + ] + }, + "usageMetadata": { + "promptTokenCount": 198, + "promptTokensDetails": [ + { + "modality": "VIDEO", + "tokenCount": 198 + } + ], + "totalTokenCount": 198 + } + } + ] + } + } + ] +} \ No newline at end of file diff --git a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentMultiTextGeminiTest.json b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentMultiTextGeminiTest.json index f8486501..d7e5f753 100644 --- a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentMultiTextGeminiTest.json +++ b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentMultiTextGeminiTest.json @@ -4,10 +4,10 @@ { "request": { "method": "POST", - "url": "/v1beta/models/text-embedding-004:batchEmbedContents", - "request": "POST /v1beta/models/text-embedding-004:batchEmbedContents HTTP/1.1", + "url": "/v1beta/models/gemini-embedding-001:batchEmbedContents", + "request": "POST /v1beta/models/gemini-embedding-001:batchEmbedContents HTTP/1.1", "headers": { - "Content-Length": "347", + "Content-Length": "351", "Content-Type": "application/json; charset=utf-8", "Test-Name": "EmbedContentTest.EmbedContentMultiTextGeminiTest" }, @@ -22,7 +22,7 @@ } ] }, - "model": "models/text-embedding-004", + "model": "models/gemini-embedding-001", "outputDimensionality": 10, "taskType": "RETRIEVAL_DOCUMENT", "title": "test_title" @@ -35,7 +35,7 @@ } ] }, - "model": "models/text-embedding-004", + "model": "models/gemini-embedding-001", "outputDimensionality": 10, "taskType": "RETRIEVAL_DOCUMENT", "title": "test_title" @@ -48,14 +48,14 @@ "port": 443, "protocol": "https" }, - "shaSum": "50128cd8a28c44e38af1b0551cc25ebf7c7af1c59953d49db45899a450dbb1bc", + "shaSum": "2da9e795ef60e639f9f070fea9a6736bd1be0d0358809e2b5510e4c63466fa48", "response": { "statusCode": 200, "headers": { "Content-Type": "application/json; charset=UTF-8", - "Date": "Tue, 09 Dec 2025 00:42:46 GMT", + "Date": "Thu, 09 Apr 2026 18:58:31 GMT", "Server": "scaffolding on HTTPServer2", - "Server-Timing": "gfet4t7; dur=179", + "Server-Timing": "gfet4t7; dur=150", "Vary": "Origin, X-Origin, Referer", "X-Content-Type-Options": "nosniff", "X-Frame-Options": "SAMEORIGIN", @@ -66,33 +66,34 @@ "embeddings": [ { "values": [ - 0.0062209684, - -0.00016352482, - -0.04497254, - -0.024360893, - 0.024183987, - 0.027219841, - 0.036644667, - 0.028461628, - -0.04021491, - 0.03328241 + -0.03950208, + 0.0007256423, + 0.036894154, + -0.06420937, + 0.007837503, + 0.0070161745, + -0.013046161, + 0.0040008393, + 0.019140515, + -0.0029148892 ] }, { "values": [ - -0.02997993, - -0.031975683, - -0.041643385, - -0.01656822, - 0.031309083, - 0.025444405, - 0.0028291983, - 0.05965454, - -0.014440891, - 0.024713816 + -0.037093285, + 0.010633466, + 0.022869334, + -0.066629514, + -0.0067563136, + 0.012390815, + -0.0096923895, + -0.0016614407, + -0.0002718712, + -0.010780795 ] } - ] + ], + "tokenCount": "10" } ] } diff --git a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentMultiTextVertexTest.json b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentMultiTextVertexTest.json index e6d8cac1..72304a22 100644 --- a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentMultiTextVertexTest.json +++ b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentMultiTextVertexTest.json @@ -4,8 +4,8 @@ { "request": { "method": "POST", - "url": "/v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/text-embedding-004:predict", - "request": "POST /v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/text-embedding-004:predict HTTP/1.1", + "url": "/v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-001:predict", + "request": "POST /v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-001:predict HTTP/1.1", "headers": { "Content-Length": "225", "Content-Type": "application/json; charset=utf-8", @@ -35,12 +35,12 @@ "port": 443, "protocol": "https" }, - "shaSum": "86f5b7b26792f125ee6d51aa663d1db2af3aafc2d8efd9ecec9087267c0d497b", + "shaSum": "1aa989ec4791f3d0804a2075b4b84e4b897c034bd104fff70f0f19a848bf0330", "response": { "statusCode": 200, "headers": { "Content-Type": "application/json; charset=UTF-8", - "Date": "Tue, 09 Dec 2025 00:42:46 GMT", + "Date": "Thu, 09 Apr 2026 18:58:31 GMT", "Server": "scaffolding on HTTPServer2", "Vary": "Origin, X-Origin, Referer", "X-Content-Type-Options": "nosniff", @@ -60,36 +60,36 @@ "truncated": false }, "values": [ - 0.006119785830378532, - -0.00011146893666591495, - -0.045173149555921555, - -0.024283207952976227, - 0.0239418875426054, - 0.027390720322728157, - 0.036817517131567, - 0.02857659012079239, - -0.04041007533669472, - 0.03310540318489075 + -0.03950208052992821, + 0.0007256423123180866, + 0.03689415380358696, + -0.06420937180519104, + 0.007837503217160702, + 0.007016174495220184, + -0.013046161271631718, + 0.004000839311629534, + 0.019140515476465225, + -0.0029148892499506474 ] } }, { "embeddings": { "statistics": { - "token_count": 9, + "token_count": 8, "truncated": false }, "values": [ - -0.030047545209527016, - -0.03195396438241005, - -0.04135684669017792, - -0.01663077436387539, - 0.03134505823254585, - 0.025405501946806908, - 0.002644096966832876, - 0.05973745882511139, - -0.014495864510536194, - 0.024711130186915398 + -0.03709328547120094, + 0.010633465833961964, + 0.022869333624839783, + -0.06662951409816742, + -0.006756313610821962, + 0.01239081472158432, + -0.009692389518022537, + -0.0016614407068118453, + -0.0002718711912166327, + -0.01078079454600811 ] } } diff --git a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentNewApiGcsImageVertexTest.json b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentNewApiGcsImageVertexTest.json index 8f3fb60c..a707921b 100644 --- a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentNewApiGcsImageVertexTest.json +++ b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentNewApiGcsImageVertexTest.json @@ -4,10 +4,10 @@ { "request": { "method": "POST", - "url": "/v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-2-exp-11-2025:embedContent", - "request": "POST /v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-2-exp-11-2025:embedContent HTTP/1.1", + "url": "/v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-2-preview:embedContent", + "request": "POST /v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-2-preview:embedContent HTTP/1.1", "headers": { - "Content-Length": "266", + "Content-Length": "289", "Content-Type": "application/json; charset=utf-8", "Test": "headers", "Test-Name": "EmbedContentTest.EmbedContentNewApiGcsImageVertexTest" @@ -27,9 +27,11 @@ } ] }, - "outputDimensionality": 10, - "taskType": "RETRIEVAL_DOCUMENT", - "title": "test_title" + "embedContentConfig": { + "outputDimensionality": 10, + "taskType": "RETRIEVAL_DOCUMENT", + "title": "test_title" + } } ], "previousRequest": "b4d6e60a9b97e7b98c63df9308728c5c88c0b40c398046772c63447b94608b4d", @@ -37,12 +39,12 @@ "port": 443, "protocol": "https" }, - "shaSum": "c8fa35198d1e235fb7b2704058d5565fc5e2346f2bb4f42b3945abe9ec3ae4ce", + "shaSum": "4ddbf162fe93c058afb1c15237af6adda060ee9facfbecfb5f743ada22b8c799", "response": { "statusCode": 200, "headers": { "Content-Type": "application/json; charset=UTF-8", - "Date": "Tue, 09 Dec 2025 00:42:49 GMT", + "Date": "Thu, 09 Apr 2026 18:58:35 GMT", "Server": "scaffolding on HTTPServer2", "Vary": "Origin, X-Origin, Referer", "X-Content-Type-Options": "nosniff", @@ -53,28 +55,28 @@ { "embedding": { "values": [ - 0.03267052, - -0.019948306, - -0.26355338, - -0.083766565, - 0.46080554, - 0.06582495, - 0.1117486, - -0.05421921, - 0.12484404, - -0.8211999 + -0.07647316, + -0.12963627, + -0.060913052, + -0.16998938, + 0.49739563, + -0.08104164, + 0.07235751, + -0.09048736, + 0.13443284, + -0.81195664 ] }, "usageMetadata": { "promptTokenCount": 265, "promptTokensDetails": [ - { - "modality": "TEXT", - "tokenCount": 7 - }, { "modality": "IMAGE", "tokenCount": 258 + }, + { + "modality": "TEXT", + "tokenCount": 7 } ], "totalTokenCount": 265 diff --git a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentNewApiMaasVertexTest.json b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentNewApiMaasVertexTest.json index fcc66745..88e00b2c 100644 --- a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentNewApiMaasVertexTest.json +++ b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentNewApiMaasVertexTest.json @@ -7,7 +7,7 @@ "url": "/v1beta1/projects/REDACTED/locations/us-central1/publishers/intfloat/models/multilingual-e5-large-instruct-maas:embedContent", "request": "POST /v1beta1/projects/REDACTED/locations/us-central1/publishers/intfloat/models/multilingual-e5-large-instruct-maas:embedContent HTTP/1.1", "headers": { - "Content-Length": "80", + "Content-Length": "102", "Content-Type": "application/json; charset=utf-8", "Test-Name": "EmbedContentTest.EmbedContentNewApiMaasVertexTest" }, @@ -20,7 +20,9 @@ } ] }, - "outputDimensionality": 100 + "embedContentConfig": { + "outputDimensionality": 10 + } } ], "previousRequest": "b4d6e60a9b97e7b98c63df9308728c5c88c0b40c398046772c63447b94608b4d", @@ -28,19 +30,19 @@ "port": 443, "protocol": "https" }, - "shaSum": "4fff14b022d83e3bc0934ac264e0a17b9c9680298560a25b5ab1de8571faed9b", + "shaSum": "b96808eddf8413f2941e18a81e99287a4216cf935f6708739c4cea978b76e809", "response": { "statusCode": 200, "headers": { "Access-Control-Allow-Origin": "*", "Content-Type": "application/json; charset=UTF-8", - "Date": "Tue, 09 Dec 2025 01:33:01 GMT", + "Date": "Thu, 09 Apr 2026 18:58:32 GMT", "Internal-Input-Tokens": "7", "Internal-Output-Tokens": "0", "Server": "scaffolding on HTTPServer2", "Vary": "origin, access-control-request-method, access-control-request-headers, X-Origin, Referer", "X-Compute-Characters": "18", - "X-Compute-Time": "5", + "X-Compute-Time": "4", "X-Compute-Tokens": "7", "X-Compute-Type": "gpu+optimized", "X-Content-Type-Options": "nosniff", @@ -48,7 +50,7 @@ "X-Inference-Time": "4", "X-Queue-Time": "0", "X-Tokenization-Time": "0", - "X-Total-Time": "5", + "X-Total-Time": "4", "X-Vertex-Ai-Internal-Prediction-Backend": "harpoon", "X-Xss-Protection": "0" }, @@ -56,106 +58,1030 @@ { "embedding": { "values": [ - 0.053552467, - 0.0569362, - -0.08680254, - -0.09619869, - 0.062025785, - -0.07399469, - -0.028440136, - 0.07198123, - 0.054950707, - -0.11946535, - 0.0844535, - 0.10044933, - -0.14150156, - -0.08876007, - -0.083334915, - -0.114990994, - -0.10906247, - 0.031012893, - -0.047372263, - -0.008920751, - 0.07198123, - 0.012444307, - -0.013884491, - -0.06515783, - 0.055090528, - 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a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentNewApiTextOnlyWithConfigVertexTest.json b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentNewApiTextOnlyWithConfigVertexTest.json index c0051aed..4d9d09a5 100644 --- a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentNewApiTextOnlyWithConfigVertexTest.json +++ b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentNewApiTextOnlyWithConfigVertexTest.json @@ -4,17 +4,16 @@ { "request": { "method": "POST", - "url": "/v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-2-exp-11-2025:embedContent", - "request": "POST /v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-2-exp-11-2025:embedContent HTTP/1.1", + "url": "/v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-2-preview:embedContent", + "request": "POST /v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-2-preview:embedContent HTTP/1.1", "headers": { - "Content-Length": "152", + "Content-Length": "175", "Content-Type": "application/json; charset=utf-8", "Test": "headers", "Test-Name": "EmbedContentTest.EmbedContentNewApiTextOnlyWithConfigVertexTest" }, "bodySegments": [ { - "autoTruncate": true, "content": { "parts": [ { @@ -22,9 +21,12 @@ } ] }, - "outputDimensionality": 10, - "taskType": "RETRIEVAL_DOCUMENT", - "title": "test_title" + "embedContentConfig": { + "autoTruncate": true, + "outputDimensionality": 10, + "taskType": "RETRIEVAL_DOCUMENT", + "title": "test_title" + } } ], "previousRequest": "b4d6e60a9b97e7b98c63df9308728c5c88c0b40c398046772c63447b94608b4d", @@ -32,12 +34,12 @@ "port": 443, "protocol": "https" }, - "shaSum": "04f008a5761ed6e074c57ba1330b2c0c728bd2052bb9bede0e2e2e3659a3a4a0", + "shaSum": "0fccbf36b43b04b82896f38662e7f363c9154c42ef9c309994230fc49fc37887", "response": { 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b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentSimpleTextGeminiTest.json index 5e3de860..2312667c 100644 --- a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentSimpleTextGeminiTest.json +++ b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentSimpleTextGeminiTest.json @@ -4,10 +4,10 @@ { "request": { "method": "POST", - "url": "/v1beta/models/text-embedding-004:batchEmbedContents", - "request": "POST /v1beta/models/text-embedding-004:batchEmbedContents HTTP/1.1", + "url": "/v1beta/models/gemini-embedding-001:batchEmbedContents", + "request": "POST /v1beta/models/gemini-embedding-001:batchEmbedContents HTTP/1.1", "headers": { - "Content-Length": "104", + "Content-Length": "132", "Content-Type": "application/json; charset=utf-8", "Test-Name": "EmbedContentTest.EmbedContentSimpleTextGeminiTest" }, @@ -22,7 +22,8 @@ } ] }, - "model": "models/text-embedding-004" + "model": "models/gemini-embedding-001", + "outputDimensionality": 10 } ] } @@ -32,14 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a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentSimpleTextVertexTest.json +++ b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentSimpleTextVertexTest.json @@ -4,10 +4,10 @@ { "request": { "method": "POST", - "url": "/v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/text-embedding-004:predict", - "request": "POST /v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/text-embedding-004:predict HTTP/1.1", + "url": "/v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-001:predict", + "request": "POST /v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-001:predict HTTP/1.1", "headers": { - "Content-Length": "48", + "Content-Length": "89", "Content-Type": "application/json; charset=utf-8", "Test-Name": "EmbedContentTest.EmbedContentSimpleTextVertexTest" }, @@ -17,7 +17,10 @@ { "content": "What is your name?" } - ] + ], + "parameters": { + "outputDimensionality": 10 + } } ], "previousRequest": "b4d6e60a9b97e7b98c63df9308728c5c88c0b40c398046772c63447b94608b4d", @@ -25,12 +28,12 @@ "port": 443, "protocol": "https" }, - "shaSum": "52e975d2e41b13a8ed6491d47cd333ba079db016d721ac6f99f94f84207b5733", + "shaSum": "775ad58ce457e020f3409e4f942a208f745294dde6baf7316b601e5bdf353a78", "response": { "statusCode": 200, "headers": { "Content-Type": "application/json; charset=UTF-8", - "Date": "Tue, 09 Dec 2025 00:42:45 GMT", + "Date": "Thu, 09 Apr 2026 18:58:30 GMT", "Server": "scaffolding on HTTPServer2", "Vary": "Origin, X-Origin, Referer", "X-Content-Type-Options": "nosniff", @@ -50,774 +53,16 @@ "truncated": false }, "values": [ - 0.02191467583179474, - -0.005375662352889776, - -0.017126262187957764, - 0.02436019666492939, - 0.013047702610492706, - 0.057812709361314774, - 0.028640445321798325, - 0.011477270163595676, - -0.006714188493788242, - 0.02943362295627594, - -0.06577935814857483, - 0.006328667048364878, - 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a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentSingleStringGeminiTest.json +++ b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentSingleStringGeminiTest.json @@ -4,10 +4,10 @@ { "request": { "method": "POST", - "url": "/v1beta/models/text-embedding-004:batchEmbedContents", - "request": "POST /v1beta/models/text-embedding-004:batchEmbedContents HTTP/1.1", + "url": "/v1beta/models/gemini-embedding-001:batchEmbedContents", + "request": "POST /v1beta/models/gemini-embedding-001:batchEmbedContents HTTP/1.1", "headers": { - "Content-Length": "118", + "Content-Length": "146", "Content-Type": "application/json; charset=utf-8", "Test-Name": "EmbedContentTest.EmbedContentSingleStringGeminiTest" }, @@ -23,7 +23,8 @@ ], "role": "user" }, - "model": "models/text-embedding-004" + "model": "models/gemini-embedding-001", + "outputDimensionality": 10 } ] } @@ -33,14 +34,14 @@ "port": 443, "protocol": "https" }, - "shaSum": "c683a06536684e0898af72334a10fd81e588faa5c14c504222743d7f9da36e68", + "shaSum": "8c06c20374588d8581999053b0fd7a042c5d0978dae0e04619db6cb472d3f74c", "response": { "statusCode": 200, "headers": { "Content-Type": "application/json; charset=UTF-8", - "Date": "Tue, 09 Dec 2025 00:42:46 GMT", + "Date": "Thu, 09 Apr 2026 18:58:31 GMT", "Server": "scaffolding on HTTPServer2", - "Server-Timing": "gfet4t7; dur=189", + "Server-Timing": "gfet4t7; dur=145", "Vary": "Origin, X-Origin, Referer", "X-Content-Type-Options": "nosniff", "X-Frame-Options": "SAMEORIGIN", @@ -51,777 +52,20 @@ "embeddings": [ { "values": [ - 0.021732023, - -0.005427982, - -0.01701328, - 0.02430373, - 0.013187526, - 0.057707485, - 0.028726421, - 0.0115679605, - -0.006673027, - 0.02951852, - -0.065773904, - 0.006512121, - 0.06202991, - -0.041853856, - -0.070919365, - 0.014113805, - -0.032625366, - -0.020559896, - -0.05590399, - -0.064535275, - 0.015795678, - -0.04487683, - 0.014454995, - -0.07018945, - -0.003921109, - 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a/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentSingleStringVertexTest.json +++ b/Google.GenAI.E2E.Tests/Recordings/EmbedContentTest.EmbedContentSingleStringVertexTest.json @@ -4,10 +4,10 @@ { "request": { "method": "POST", - "url": "/v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/text-embedding-004:predict", - "request": "POST /v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/text-embedding-004:predict HTTP/1.1", + "url": "/v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-001:predict", + "request": "POST /v1beta1/projects/REDACTED/locations/us-central1/publishers/google/models/gemini-embedding-001:predict HTTP/1.1", "headers": { - "Content-Length": "48", + "Content-Length": "89", "Content-Type": "application/json; charset=utf-8", "Test-Name": "EmbedContentTest.EmbedContentSingleStringVertexTest" }, @@ -17,7 +17,10 @@ { "content": "What is your name?" } - ] + ], + "parameters": { + "outputDimensionality": 10 + } } ], "previousRequest": "b4d6e60a9b97e7b98c63df9308728c5c88c0b40c398046772c63447b94608b4d", @@ -25,12 +28,12 @@ "port": 443, "protocol": "https" }, - "shaSum": "a7fa6d840b8ecff204ac638ffdfc4cc1c5596557e7c7e09882e5d55d428e3676", + "shaSum": "70bf401e67fe887810510c8d0d438b8ff8a1c4fa832d164b5850425dab68d8e1", "response": { "statusCode": 200, "headers": { "Content-Type": "application/json; charset=UTF-8", - "Date": "Tue, 09 Dec 2025 00:42:45 GMT", + "Date": "Thu, 09 Apr 2026 18:58:31 GMT", "Server": "scaffolding on HTTPServer2", "Vary": "Origin, X-Origin, Referer", "X-Content-Type-Options": "nosniff", @@ -50,774 +53,16 @@ "truncated": false }, "values": [ - 0.02191467583179474, - -0.005375662352889776, - -0.017126262187957764, - 0.02436019666492939, - 0.013047702610492706, - 0.057812709361314774, - 0.028640445321798325, - 0.011477270163595676, - -0.006714188493788242, - 0.02943362295627594, - -0.06577935814857483, - 0.006328667048364878, - 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Assert.IsTrue(count >= 0); - Assert.AreEqual(1, pager.PageSize); + StringAssert.Contains(ex.Message, "only supported in the Gemini Enterprise Agent Platform"); } } \ No newline at end of file diff --git a/Google.GenAI.E2E.Tests/UpscaleImage/UpscaleImageErrorHandlingTest.cs b/Google.GenAI.E2E.Tests/UpscaleImage/UpscaleImageErrorHandlingTest.cs index d106f580..be4664d9 100644 --- a/Google.GenAI.E2E.Tests/UpscaleImage/UpscaleImageErrorHandlingTest.cs +++ b/Google.GenAI.E2E.Tests/UpscaleImage/UpscaleImageErrorHandlingTest.cs @@ -112,6 +112,6 @@ await geminiClient.Models.UpscaleImageAsync( upscaleFactor: "x2", config: null); }); - StringAssert.Contains(ex.Message, "This method is only supported in the Vertex AI client."); + StringAssert.Contains(ex.Message, "This method is only supported in the Gemini Enterprise Agent Platform"); } } diff --git a/Google.GenAI.Tests/ClientTest.cs b/Google.GenAI.Tests/ClientTest.cs index 01970fd2..b5008099 100644 --- a/Google.GenAI.Tests/ClientTest.cs +++ b/Google.GenAI.Tests/ClientTest.cs @@ -15,6 +15,8 @@ */ using System; +using System.Net; +using System.Net.Http; using Google.Apis.Auth.OAuth2; using Google.GenAI; @@ -28,6 +30,7 @@ namespace Google.GenAI.Tests { [TestClass] public class ClientTests { private string? _originalVertexAiEnv; + private string? _originalEnterpriseEnv; private string? _originalProjectEnv; private string? _originalLocationEnv; private string? _originalApiKeyEnv; @@ -37,6 +40,7 @@ public class ClientTests { [TestInitialize] public void TestInitialize() { _originalVertexAiEnv = System.Environment.GetEnvironmentVariable("GOOGLE_GENAI_USE_VERTEXAI"); + _originalEnterpriseEnv = System.Environment.GetEnvironmentVariable("GOOGLE_GENAI_USE_ENTERPRISE"); _originalProjectEnv = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_PROJECT"); _originalLocationEnv = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION"); _originalApiKeyEnv = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); @@ -46,6 +50,7 @@ public void TestInitialize() { System.Environment.GetEnvironmentVariable("GOOGLE_GEMINI_BASE_URL"); System.Environment.SetEnvironmentVariable("GOOGLE_GENAI_USE_VERTEXAI", null); + System.Environment.SetEnvironmentVariable("GOOGLE_GENAI_USE_ENTERPRISE", null); System.Environment.SetEnvironmentVariable("GOOGLE_CLOUD_PROJECT", null); System.Environment.SetEnvironmentVariable("GOOGLE_CLOUD_LOCATION", null); System.Environment.SetEnvironmentVariable("GOOGLE_API_KEY", null); @@ -58,6 +63,7 @@ public void TestInitialize() { [TestCleanup] public void TestCleanup() { System.Environment.SetEnvironmentVariable("GOOGLE_GENAI_USE_VERTEXAI", _originalVertexAiEnv); + System.Environment.SetEnvironmentVariable("GOOGLE_GENAI_USE_ENTERPRISE", _originalEnterpriseEnv); System.Environment.SetEnvironmentVariable("GOOGLE_CLOUD_PROJECT", _originalProjectEnv); System.Environment.SetEnvironmentVariable("GOOGLE_CLOUD_LOCATION", _originalLocationEnv); System.Environment.SetEnvironmentVariable("GOOGLE_API_KEY", _originalApiKeyEnv); @@ -182,6 +188,150 @@ public void Constructor_VertexAI_DefaultsToFalse_NoParamOrEnv() { #endregion +#region Constructor Enterprise Resolution Tests + [TestMethod] + public void Constructor_Enterprise_TrueByParameter() + { + var client = new Client(enterprise: true, project: "project", location: "location"); + Assert.IsTrue(client._apiClient.VertexAI); + } + + [TestMethod] + public void Constructor_Enterprise_FalseByParameter() + { + var client = new Client(enterprise: false, apiKey: "key"); + Assert.IsFalse(client._apiClient.VertexAI); + } + + [TestMethod] + public void Constructor_Enterprise_TrueByEnvironment() + { + System.Environment.SetEnvironmentVariable("GOOGLE_GENAI_USE_ENTERPRISE", "true"); + var client = new Client(project: "project", location: "location"); + Assert.IsTrue(client._apiClient.VertexAI); + } + + [TestMethod] + public void Constructor_Enterprise_FalseByEnvironment() + { + System.Environment.SetEnvironmentVariable("GOOGLE_GENAI_USE_ENTERPRISE", "false"); + var client = new Client(apiKey: "key"); + Assert.IsFalse(client._apiClient.VertexAI); + } + + [TestMethod] + public void Constructor_Enterprise_VertexAi_Params_Conflict_Case1() + { + var ex = Assert.ThrowsException(() => new Client(enterprise: true, vertexAI: false, project: "project", location: "location")); + } + + [TestMethod] + public void Constructor_Enterprise_VertexAi_Params_Conflict_Case2() + { + var ex = Assert.ThrowsException(() => new Client(enterprise: false, vertexAI: true, project: "project", location: "location")); + } + + [TestMethod] + public void Constructor_Enterprise_FalseByEnvironment_VertexAI_TrueByParameter() { + System.Environment.SetEnvironmentVariable("GOOGLE_GENAI_USE_ENTERPRISE", "false"); + var client = new Client(vertexAI: true, project: "project", location: "location"); + Assert.IsTrue(client._apiClient.VertexAI); + } + + [TestMethod] + public void Constructor_Enterprise_TakesPriorityOverVertexAi_Env() + { + System.Environment.SetEnvironmentVariable("GOOGLE_GENAI_USE_ENTERPRISE", "true"); + System.Environment.SetEnvironmentVariable("GOOGLE_GENAI_USE_VERTEXAI", "false"); + var client = new Client(project: "project", location: "location"); + Assert.IsTrue(client._apiClient.VertexAI); + } + + [TestMethod] + public void Constructor_Enterprise_FallsbackToVertexAi_Param() + { + var client = new Client(enterprise: null, vertexAI: true, project: "project", location: "location"); + Assert.IsTrue(client._apiClient.VertexAI); + } + + [TestMethod] + public void Constructor_Enterprise_FallsbackToVertexAi_Env() + { + System.Environment.SetEnvironmentVariable("GOOGLE_GENAI_USE_VERTEXAI", "true"); + var client = new Client(project: "project", location: "location"); + Assert.IsTrue(client._apiClient.VertexAI); + } + +#endregion + +#region Constructor Warning Tests + [TestMethod] + public void Constructor_Warns_On_EnterpriseEnv_And_VertexEnv() + { + System.Environment.SetEnvironmentVariable("GOOGLE_GENAI_USE_VERTEXAI", "false"); + System.Environment.SetEnvironmentVariable("GOOGLE_GENAI_USE_ENTERPRISE", "true"); + var sw = new System.IO.StringWriter(); + var listener = new System.Diagnostics.TextWriterTraceListener(sw); + System.Diagnostics.Trace.Listeners.Add(listener); + + try + { + var client = new Client(project: "project", location: "location"); + listener.Flush(); + var output = sw.ToString(); + StringAssert.Contains(output, "Warning: Both GOOGLE_GENAI_USE_ENTERPRISE and GOOGLE_GENAI_USE_VERTEXAI are set. The value of GOOGLE_GENAI_USE_ENTERPRISE will be used."); + Assert.IsTrue(client._apiClient.VertexAI); + } + finally + { + System.Diagnostics.Trace.Listeners.Remove(listener); + } + } + + [TestMethod] + public void Constructor_NoWarning_On_EnterpriseParam_Only() + { + System.Environment.SetEnvironmentVariable("GOOGLE_GENAI_USE_VERTEXAI", "false"); + var sw = new System.IO.StringWriter(); + var listener = new System.Diagnostics.TextWriterTraceListener(sw); + System.Diagnostics.Trace.Listeners.Add(listener); + + try + { + var client = new Client(enterprise: true, project: "project", location: "location"); + listener.Flush(); + var output = sw.ToString(); + Assert.AreEqual(string.Empty, output.Trim()); + Assert.IsTrue(client._apiClient.VertexAI); + } + finally + { + System.Diagnostics.Trace.Listeners.Remove(listener); + } + } + + [TestMethod] + public void Constructor_NoWarning_On_VertexParam_Only() + { + System.Environment.SetEnvironmentVariable("GOOGLE_GENAI_USE_ENTERPRISE", "false"); + var sw = new System.IO.StringWriter(); + var listener = new System.Diagnostics.TextWriterTraceListener(sw); + System.Diagnostics.Trace.Listeners.Add(listener); + + try + { + var client = new Client(vertexAI: true, project: "project", location: "location"); + listener.Flush(); + var output = sw.ToString(); + Assert.AreEqual(string.Empty, output.Trim()); + } + finally + { + System.Diagnostics.Trace.Listeners.Remove(listener); + } + } +#endregion + #region Constructor Credential / Parameter Source Tests(Vertex AI) [TestMethod] @@ -325,7 +475,15 @@ public void Constructor_Error_LocationAndApiKeySet_Params() { public void Constructor_Error_ProjectSet_VertexAIFalse_Param() { var ex = Assert.ThrowsException( () => new Client(vertexAI: false, project: "project", location: "location")); - Assert.AreEqual("project/location is present, but vertexai is not set to true. project/location can only be used for Vertex AI. Please set vertexai to be true.", + Assert.AreEqual("project/location is present, but neither enterprise nor vertexAI is set to true. project/location can only be used for a cloud platform. Please set enterprise to be true.", + ex.Message); + } + + [TestMethod] + public void Constructor_Error_ProjectSet_EnterpriseFalse_Param() { + var ex = Assert.ThrowsException( + () => new Client(enterprise: false, project: "project", location: "location")); + Assert.AreEqual("project/location is present, but neither enterprise nor vertexAI is set to true. project/location can only be used for a cloud platform. Please set enterprise to be true.", ex.Message); } @@ -335,7 +493,7 @@ public void Constructor_Error_ProjectSet_VertexAIDefaultsToFalse_Env() { "false"); // Explicitly false var ex = Assert.ThrowsException( () => new Client(project: "project", location: "location")); - Assert.AreEqual("project/location is present, but vertexai is not set to true. project/location can only be used for Vertex AI. Please set vertexai to be true.", + Assert.AreEqual("project/location is present, but neither enterprise nor vertexAI is set to true. project/location can only be used for a cloud platform. Please set enterprise to be true.", ex.Message); } @@ -344,7 +502,7 @@ public void Constructor_Error_ProjectSet_VertexAINotSet_Env() { // GOOGLE_GENAI_USE_VERTEXAI is null (cleared in TestInitialize), defaults to false var ex = Assert.ThrowsException( () => new Client(project: "project", location: "location")); - Assert.AreEqual("project/location is present, but vertexai is not set to true. project/location can only be used for Vertex AI. Please set vertexai to be true.", + Assert.AreEqual("project/location is present, but neither enterprise nor vertexAI is set to true. project/location can only be used for a cloud platform. Please set enterprise to be true.", ex.Message); } @@ -352,7 +510,7 @@ public void Constructor_Error_ProjectSet_VertexAINotSet_Env() { public void Constructor_Error_LocationSet_VertexAIFalse_Param() { var ex = Assert.ThrowsException( () => new Client(vertexAI: false, location: "location", project: "project")); - Assert.AreEqual("project/location is present, but vertexai is not set to true. project/location can only be used for Vertex AI. Please set vertexai to be true.", + Assert.AreEqual("project/location is present, but neither enterprise nor vertexAI is set to true. project/location can only be used for a cloud platform. Please set enterprise to be true.", ex.Message); } @@ -666,6 +824,18 @@ public void Constructor_HttpOptionsProvided_Timeout() { Assert.AreEqual(1000, client._apiClient.HttpOptions.Timeout); } + [TestMethod] + public void Constructor_ClientOptionsProvided_HttpClientFactory() { + var proxyAddress = "http://your-proxy-address:port"; + var options = + new ClientOptions { HttpClientFactory = () => new HttpClient( + new HttpClientHandler { Proxy = new WebProxy(proxyAddress) }) }; + + var client = new Client(vertexAI: true, project: "project", location: "location", + clientOptions: options); + + Assert.AreSame(options.HttpClientFactory, client._apiClient.ClientOptions.HttpClientFactory); + } #endregion #region Successful Instantiation(all modules) diff --git a/Google.GenAI.Tests/HttpApiClientTest.cs b/Google.GenAI.Tests/HttpApiClientTest.cs index a28a61c1..99f7ece0 100644 --- a/Google.GenAI.Tests/HttpApiClientTest.cs +++ b/Google.GenAI.Tests/HttpApiClientTest.cs @@ -281,6 +281,17 @@ public void VertexConstructor_LocationUs_SetsCorrectBaseUrl() { Assert.AreEqual("https://aiplatform.us.rep.googleapis.com", client.HttpOptions.BaseUrl); } + [TestMethod] + public void VertexConstructor_LocationEu_SetsCorrectBaseUrl() { + var mockCredential = new Mock(); + var client = new HttpApiClient(vertexAI: true, project: "my-project", location: "eu", credentials: mockCredential.Object); + + Assert.AreEqual("my-project", client.Project); + Assert.AreEqual("eu", client.Location); + Assert.IsTrue(client.VertexAI); + Assert.AreEqual("https://aiplatform.eu.rep.googleapis.com", client.HttpOptions.BaseUrl); + } + [TestMethod] public void VertexConstructor_LocationUsAndCustomHttpOptions_SetsCorrectBaseUrl() { var mockCredential = new Mock(); diff --git a/Google.GenAI.Tests/Netstandard2_0Tests/packages.lock.json b/Google.GenAI.Tests/Netstandard2_0Tests/packages.lock.json index a23b4a43..ffb87166 100644 --- a/Google.GenAI.Tests/Netstandard2_0Tests/packages.lock.json +++ b/Google.GenAI.Tests/Netstandard2_0Tests/packages.lock.json @@ -205,14 +205,6 @@ "resolved": "7.0.0", "contentHash": "GLltyqEsE5/3IE+zYRP5sNa1l44qKl9v+bfdMcwg+M9qnQf47wK3H0SUR/T+3N4JEQXF3vV4CSuuo0rsg+nq2A==" }, - "System.Collections.Immutable": { - "type": "Transitive", - "resolved": "6.0.0", - "contentHash": "l4zZJ1WU2hqpQQHXz1rvC3etVZN+2DLmQMO79FhOTZHMn8tDRr+WU287sbomD0BETlmKDn0ygUgVy9k5xkkJdA==", - "dependencies": { - "System.Runtime.CompilerServices.Unsafe": "6.0.0" - } - }, "System.Diagnostics.DiagnosticSource": { "type": "Transitive", "resolved": "5.0.0", @@ -264,7 +256,9 @@ "dependencies": { "Google.Apis.Auth": "[1.69.0, )", "Microsoft.Extensions.AI.Abstractions": "[10.4.0, )", - "MimeTypes": "[2.5.2, )" + "MimeTypes": "[2.5.2, )", + "System.Collections.Immutable": "[9.0.0, )", + "System.Net.ServerSentEvents": "[9.0.0, )" } }, "Google.Apis.Auth": { @@ -292,6 +286,18 @@ "requested": "[2.5.2, )", "resolved": "2.5.2", "contentHash": "vm4xrNt+i6OVRQ8vhfCcmDIUg3qvjyCTkSTNVTDFohsG6CXEpMaVFkidECL6yRYpHDnz4TqXhDoEQAcnHCu/tw==" + }, + "System.Collections.Immutable": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "QhkXUl2gNrQtvPmtBTQHb0YsUrDiDQ2QS09YbtTTiSjGcf7NBqtYbrG/BE06zcBPCKEwQGzIv13IVdXNOSub2w==" + }, + "System.Net.ServerSentEvents": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "VTWjeyx9nPb4+hkjGcAaDw1nOckypMtvABmxSWm6PPYwrXoIiVG3jwtNlAGhaGVjDkBrERABox67wYTAcHxg7Q==" } } } diff --git a/Google.GenAI.Tests/packages.lock.json b/Google.GenAI.Tests/packages.lock.json index 36019bfe..cff4a009 100644 --- a/Google.GenAI.Tests/packages.lock.json +++ b/Google.GenAI.Tests/packages.lock.json @@ -189,14 +189,6 @@ "resolved": "7.0.0", "contentHash": "GLltyqEsE5/3IE+zYRP5sNa1l44qKl9v+bfdMcwg+M9qnQf47wK3H0SUR/T+3N4JEQXF3vV4CSuuo0rsg+nq2A==" }, - "System.Collections.Immutable": { - "type": "Transitive", - "resolved": "6.0.0", - "contentHash": "l4zZJ1WU2hqpQQHXz1rvC3etVZN+2DLmQMO79FhOTZHMn8tDRr+WU287sbomD0BETlmKDn0ygUgVy9k5xkkJdA==", - "dependencies": { - "System.Runtime.CompilerServices.Unsafe": "6.0.0" - } - }, "System.Diagnostics.DiagnosticSource": { "type": "Transitive", "resolved": "5.0.0", @@ -248,7 +240,9 @@ "dependencies": { "Google.Apis.Auth": "[1.69.0, )", "Microsoft.Extensions.AI.Abstractions": "[10.4.0, )", - "MimeTypes": "[2.5.2, )" + "MimeTypes": "[2.5.2, )", + "System.Collections.Immutable": "[9.0.0, )", + "System.Net.ServerSentEvents": "[9.0.0, )" } }, "Google.Apis.Auth": { @@ -277,6 +271,18 @@ "resolved": "2.5.2", "contentHash": "vm4xrNt+i6OVRQ8vhfCcmDIUg3qvjyCTkSTNVTDFohsG6CXEpMaVFkidECL6yRYpHDnz4TqXhDoEQAcnHCu/tw==" }, + "System.Collections.Immutable": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "QhkXUl2gNrQtvPmtBTQHb0YsUrDiDQ2QS09YbtTTiSjGcf7NBqtYbrG/BE06zcBPCKEwQGzIv13IVdXNOSub2w==" + }, + "System.Net.ServerSentEvents": { + "type": "CentralTransitive", + "requested": "[9.0.0, )", + "resolved": "9.0.0", + "contentHash": "VTWjeyx9nPb4+hkjGcAaDw1nOckypMtvABmxSWm6PPYwrXoIiVG3jwtNlAGhaGVjDkBrERABox67wYTAcHxg7Q==" + }, "System.Text.Json": { "type": "CentralTransitive", "requested": "[10.0.4, )", diff --git a/Google.GenAI/ApiClient.cs b/Google.GenAI/ApiClient.cs index 58f39aff..12951366 100644 --- a/Google.GenAI/ApiClient.cs +++ b/Google.GenAI/ApiClient.cs @@ -14,6 +14,7 @@ * limitations under the License. */ +using System.Collections.Generic; using System.Reflection; using System.Runtime.CompilerServices; @@ -29,6 +30,12 @@ public abstract class ApiClient : IDisposable, IAsyncDisposable { private static readonly string SdkVersion = GetSdkVersion(); + private static readonly HashSet MultiRegionalLocations = new HashSet(StringComparer.OrdinalIgnoreCase) + { + "us", + "eu" + }; + private HttpClient? _httpClient; private readonly object _httpClientLock = new object(); @@ -44,7 +51,7 @@ protected HttpClient HttpClient { throw new ObjectDisposedException(nameof(ApiClient)); } - _httpClient ??= CreateHttpClient(this.HttpOptions); + _httpClient ??= CreateHttpClient(this.HttpOptions, this.ClientOptions); } } return _httpClient; @@ -60,6 +67,7 @@ protected HttpClient HttpClient public string? CustomBaseUrl { get; } public HttpOptions HttpOptions { get; protected set; } + public Google.GenAI.Types.ClientOptions ClientOptions { get; protected set; } public bool VertexAI { get; } private int _disposed = 0; @@ -68,23 +76,52 @@ protected HttpClient HttpClient /// Constructs an ApiClient. /// protected ApiClient( + bool? enterprise = null, bool? vertexAI = null, string? apiKey = null, string? project = null, string? location = null, ICredential? credentials = null, - HttpOptions? customHttpOptions = null) + HttpOptions? customHttpOptions = null, + Google.GenAI.Types.ClientOptions? clientOptions = null) { - if (vertexAI.HasValue) + if (enterprise.HasValue && vertexAI.HasValue && enterprise.Value != vertexAI.Value) { - this.VertexAI = vertexAI.Value; + throw new ArgumentException("enterprise and vertexAI flags have conflicting values, please set enterprise value only."); } - else + + bool? resolvedCloudFlag = null; + + if (enterprise.HasValue) + { + resolvedCloudFlag = enterprise.Value; + } + + if (!resolvedCloudFlag.HasValue && vertexAI.HasValue) + { + resolvedCloudFlag = vertexAI.Value; + } + + string? enterpriseEnv = System.Environment.GetEnvironmentVariable("GOOGLE_GENAI_USE_ENTERPRISE"); + string? vertexAIEnv = System.Environment.GetEnvironmentVariable("GOOGLE_GENAI_USE_VERTEXAI"); + + if (!resolvedCloudFlag.HasValue && enterpriseEnv != null && vertexAIEnv != null) { - string? vertexAIEnv = System.Environment.GetEnvironmentVariable("GOOGLE_GENAI_USE_VERTEXAI"); - this.VertexAI = vertexAIEnv != null && vertexAIEnv.ToLower() == "true"; + System.Diagnostics.Trace.TraceWarning("Warning: Both GOOGLE_GENAI_USE_ENTERPRISE and GOOGLE_GENAI_USE_VERTEXAI are set. The value of GOOGLE_GENAI_USE_ENTERPRISE will be used."); } + if (!resolvedCloudFlag.HasValue && enterpriseEnv != null) + { + resolvedCloudFlag = enterpriseEnv.ToLower() == "true"; + } + + if (!resolvedCloudFlag.HasValue && vertexAIEnv != null) + { + resolvedCloudFlag = vertexAIEnv.ToLower() == "true"; + } + + this.VertexAI = resolvedCloudFlag ?? false; + var envProject = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_PROJECT"); var envLocation = System.Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION"); var envApiKey = System.Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); @@ -180,14 +217,27 @@ protected ApiClient( { this.HttpOptions = MergeHttpOptions(customHttpOptions); } + + this.ClientOptions = clientOptions ?? new Google.GenAI.Types.ClientOptions(); } - private static HttpClient CreateHttpClient(HttpOptions httpOptions) + private static HttpClient CreateHttpClient( + HttpOptions httpOptions, Google.GenAI.Types.ClientOptions? clientOptions = null + ) { - var client = new HttpClient(); - if (httpOptions.Timeout != null) + HttpClient client = null; + if (clientOptions != null) + { + client = clientOptions.HttpClientFactory?.Invoke(); + } + // If no factory was provided, create a default client and apply SDK options + if (client == null) { - client.Timeout = System.TimeSpan.FromMilliseconds(httpOptions.Timeout.Value); + client = new HttpClient(); + if (httpOptions.Timeout != null) + { + client.Timeout = System.TimeSpan.FromMilliseconds(httpOptions.Timeout.Value); + } } return client; } @@ -316,7 +366,7 @@ internal static HttpOptions GetDefaultHttpOptions(bool vertexAI, string? locatio { defaultHttpOptions.BaseUrl = "https://aiplatform.googleapis.com"; } - else if (location!.Equals("us")) + else if (MultiRegionalLocations.Contains(location!)) { defaultHttpOptions.BaseUrl = $"https://aiplatform.{location}.rep.googleapis.com"; } @@ -379,9 +429,9 @@ protected virtual void Dispose(bool disposing) /// A that represents the asynchronous dispose operation. public virtual ValueTask DisposeAsync() { - Dispose(); + Dispose(); #if NETSTANDARD2_0_OR_GREATER - return new ValueTask(Task.CompletedTask); + return new ValueTask(Task.CompletedTask); #else return ValueTask.CompletedTask; #endif @@ -389,14 +439,14 @@ public virtual ValueTask DisposeAsync() private static string GetSdkVersion() { - // This reads AssemblyInformationalVersionAttribute from the assembly, - // which is generated during build from the property. - // Google.GenAI.csproj imports ReleaseVersion.xml to set , - // so this effectively reads the version from ReleaseVersion.xml. - return typeof(ApiClient) - .Assembly - .GetCustomAttribute() - ?.InformationalVersion ?? ""; + // This reads AssemblyInformationalVersionAttribute from the assembly, + // which is generated during build from the property. + // Google.GenAI.csproj imports ReleaseVersion.xml to set , + // so this effectively reads the version from ReleaseVersion.xml. + return typeof(ApiClient) + .Assembly + .GetCustomAttribute() + ?.InformationalVersion ?? ""; } } } diff --git a/Google.GenAI/Batches.cs b/Google.GenAI/Batches.cs index 7a7d9357..2bb48fe2 100644 --- a/Google.GenAI/Batches.cs +++ b/Google.GenAI/Batches.cs @@ -126,6 +126,16 @@ internal JsonNode BatchJobDestinationFromVertex(JsonNode fromObject, JsonObject Common.GetValueByPath(fromObject, new string[] { "bigqueryDestination", "outputUri" })); } + if (Common.GetValueByPath(fromObject, + new string[] { "vertexMultimodalDatasetDestination" }) != null) { + Common.SetValueByPath( + toObject, new string[] { "vertexDataset" }, + VertexMultimodalDatasetDestinationFromVertex( + Common.ParseToJsonNode(Common.GetValueByPath( + fromObject, new string[] { "vertexMultimodalDatasetDestination" })), + toObject)); + } + return toObject; } @@ -148,18 +158,27 @@ internal JsonNode BatchJobDestinationToVertex(JsonNode fromObject, JsonObject pa } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "fileName" }))) { - throw new NotSupportedException("fileName parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "fileName parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "inlinedResponses" }))) { throw new NotSupportedException( - "inlinedResponses parameter is not supported in Vertex AI."); + "inlinedResponses parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (!Common.IsZero( Common.GetValueByPath(fromObject, new string[] { "inlinedEmbedContentResponses" }))) { throw new NotSupportedException( - "inlinedEmbedContentResponses parameter is not supported in Vertex AI."); + "inlinedEmbedContentResponses parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); + } + + if (Common.GetValueByPath(fromObject, new string[] { "vertexDataset" }) != null) { + Common.SetValueByPath(toObject, new string[] { "vertexMultimodalDatasetDestination" }, + VertexMultimodalDatasetDestinationToVertex( + Common.ParseToJsonNode(Common.GetValueByPath( + fromObject, new string[] { "vertexDataset" })), + toObject)); } return toObject; @@ -318,6 +337,14 @@ internal JsonNode BatchJobSourceFromVertex(JsonNode fromObject, JsonObject paren Common.GetValueByPath(fromObject, new string[] { "bigquerySource", "inputUri" })); } + if (Common.GetValueByPath(fromObject, new string[] { "vertexMultimodalDatasetSource", + "datasetName" }) != null) { + Common.SetValueByPath( + toObject, new string[] { "vertexDatasetName" }, + Common.GetValueByPath(fromObject, + new string[] { "vertexMultimodalDatasetSource", "datasetName" })); + } + return toObject; } @@ -353,6 +380,11 @@ internal JsonNode BatchJobSourceToMldev(ApiClient apiClient, JsonNode fromObject Common.SetValueByPath(toObject, new string[] { "requests", "requests" }, result); } + if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "vertexDatasetName" }))) { + throw new NotSupportedException( + "vertexDatasetName parameter is not supported in Gemini API."); + } + return toObject; } @@ -375,11 +407,19 @@ internal JsonNode BatchJobSourceToVertex(JsonNode fromObject, JsonObject parentO } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "fileName" }))) { - throw new NotSupportedException("fileName parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "fileName parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "inlinedRequests" }))) { - throw new NotSupportedException("inlinedRequests parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "inlinedRequests parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); + } + + if (Common.GetValueByPath(fromObject, new string[] { "vertexDatasetName" }) != null) { + Common.SetValueByPath( + toObject, new string[] { "vertexMultimodalDatasetSource", "datasetName" }, + Common.GetValueByPath(fromObject, new string[] { "vertexDatasetName" })); } return toObject; @@ -539,6 +579,11 @@ internal JsonNode CreateBatchJobConfigToMldev(JsonNode fromObject, JsonObject pa throw new NotSupportedException("dest parameter is not supported in Gemini API."); } + if (Common.GetValueByPath(fromObject, new string[] { "webhookConfig" }) != null) { + Common.SetValueByPath(parentObject, new string[] { "batch", "webhookConfig" }, + Common.GetValueByPath(fromObject, new string[] { "webhookConfig" })); + } + return toObject; } @@ -558,6 +603,11 @@ internal JsonNode CreateBatchJobConfigToVertex(JsonNode fromObject, JsonObject p toObject)); } + if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "webhookConfig" }))) { + throw new NotSupportedException( + "webhookConfig parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); + } + return toObject; } @@ -794,6 +844,16 @@ internal JsonNode EmbedContentConfigToMldev(JsonNode fromObject, JsonObject pare throw new NotSupportedException("autoTruncate parameter is not supported in Gemini API."); } + if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "documentOcr" }))) { + throw new NotSupportedException("documentOcr parameter is not supported in Gemini API."); + } + + if (!Common.IsZero( + Common.GetValueByPath(fromObject, new string[] { "audioTrackExtraction" }))) { + throw new NotSupportedException( + "audioTrackExtraction parameter is not supported in Gemini API."); + } + return toObject; } @@ -1641,6 +1701,43 @@ internal JsonNode ToolToMldev(JsonNode fromObject, JsonObject parentObject) { return toObject; } + internal JsonNode VertexMultimodalDatasetDestinationFromVertex(JsonNode fromObject, + JsonObject parentObject) { + JsonObject toObject = new JsonObject(); + + if (Common.GetValueByPath(fromObject, new string[] { "bigqueryDestination", "outputUri" }) != + null) { + Common.SetValueByPath( + toObject, new string[] { "bigqueryDestination" }, + Common.GetValueByPath(fromObject, new string[] { "bigqueryDestination", "outputUri" })); + } + + if (Common.GetValueByPath(fromObject, new string[] { "displayName" }) != null) { + Common.SetValueByPath(toObject, new string[] { "displayName" }, + Common.GetValueByPath(fromObject, new string[] { "displayName" })); + } + + return toObject; + } + + internal JsonNode VertexMultimodalDatasetDestinationToVertex(JsonNode fromObject, + JsonObject parentObject) { + JsonObject toObject = new JsonObject(); + + if (Common.GetValueByPath(fromObject, new string[] { "bigqueryDestination" }) != null) { + Common.SetValueByPath( + toObject, new string[] { "bigqueryDestination", "outputUri" }, + Common.GetValueByPath(fromObject, new string[] { "bigqueryDestination" })); + } + + if (Common.GetValueByPath(fromObject, new string[] { "displayName" }) != null) { + Common.SetValueByPath(toObject, new string[] { "displayName" }, + Common.GetValueByPath(fromObject, new string[] { "displayName" })); + } + + return toObject; + } + public Batches(ApiClient apiClient) { _apiClient = apiClient; } @@ -1786,10 +1883,10 @@ await this._apiClient.RequestAsync(HttpMethod.Post, path, JsonSerializer.Seriali /// A fully-qualified BatchJob resource name or ID. /// Example: "projects/.../locations/.../batchPredictionJobs/456" /// or "456" when project and location are initialized in the - /// Vertex AI client. Or "batches/abc" using the Gemini Developer AI client. - /// A for configuring the get - /// request. The for the - /// request. A object that contains the info of the + /// Gemini Enterprise Agent Platform client. Or "batches/abc" using the Gemini Developer AI + /// client. A for configuring the + /// get request. The for + /// the request. A object that contains the info of the /// batch job. public async Task GetAsync(string name, GetBatchJobConfig? config = null, @@ -1993,11 +2090,11 @@ await this._apiClient.RequestAsync(HttpMethod.Get, path, JsonSerializer.Serializ /// A fully-qualified BatchJob resource name or ID. /// Example: "projects/.../locations/.../batchPredictionJobs/456" /// or "456" when project and location are initialized in the - /// Vertex AI client. Or "batches/abc" using the Gemini Developer AI client. - /// A for configuring the delete - /// request. The for the - /// request. A object that shows the status of - /// the deletion. + /// Gemini Enterprise Agent Platform client. Or "batches/abc" using the Gemini Developer AI + /// client. A for configuring + /// the delete request. The for the request. A object that shows the status of the deletion. public async Task DeleteAsync( string name, DeleteBatchJobConfig? config = null, @@ -2093,9 +2190,9 @@ public async Task> L /// /// The model to use for the batch job. /// The of the batch job. - /// Currently Vertex AI supports GCS URIs or BigQuery URI. Example: "gs://path/to/input/data" or - /// "bq://projectId.bqDatasetId.bqTableId". Gemini Developer API supports List of - /// inlined_request, or file name. Example: "files/file_name". Optional to configure the batch /// job. The cancellation token for the request. /// A that represents the asynchronous operation. The task @@ -2105,10 +2202,12 @@ public async Task CreateAsync(string model, BatchJobSource src, CancellationToken cancellationToken = default) { if (this._apiClient.VertexAI) { if (src.InlinedRequests != null) { - throw new NotSupportedException("inlinedRequests is not supported for Vertex AI."); + throw new NotSupportedException( + "inlinedRequests is not supported for Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (src.FileName != null) { - throw new NotSupportedException("fileName is not supported for Vertex AI."); + throw new NotSupportedException( + "fileName is not supported for Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (src.GcsUri != null && src.BigqueryUri != null) { throw new ArgumentException("Only one of gcsUri and bigqueryUri can be set."); @@ -2142,7 +2241,8 @@ public async Task CreateEmbeddingsAsync( string model, EmbeddingsBatchJobSource src, CreateEmbeddingsBatchJobConfig config, CancellationToken cancellationToken = default) { if (this._apiClient.VertexAI) { - throw new NotSupportedException("Vertex AI does not support batches.createEmbeddings."); + throw new NotSupportedException( + "Gemini Enterprise Agent Platform (previously known as Vertex AI) does not support batches.createEmbeddings."); } return await this.PrivateCreateEmbeddingsAsync(model, src, config, cancellationToken); } diff --git a/Google.GenAI/Caches.cs b/Google.GenAI/Caches.cs index 0a5f17a8..e0f417ab 100644 --- a/Google.GenAI/Caches.cs +++ b/Google.GenAI/Caches.cs @@ -459,7 +459,8 @@ internal JsonNode FunctionDeclarationToVertex(JsonNode fromObject, JsonObject pa } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "behavior" }))) { - throw new NotSupportedException("behavior parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "behavior parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } return toObject; @@ -793,15 +794,18 @@ internal JsonNode PartToVertex(JsonNode fromObject, JsonObject parentObject) { } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "toolCall" }))) { - throw new NotSupportedException("toolCall parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "toolCall parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "toolResponse" }))) { - throw new NotSupportedException("toolResponse parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "toolResponse parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "partMetadata" }))) { - throw new NotSupportedException("partMetadata parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "partMetadata parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } return toObject; @@ -852,7 +856,7 @@ internal JsonNode ToolConfigToVertex(JsonNode fromObject, JsonObject parentObjec if (!Common.IsZero(Common.GetValueByPath( fromObject, new string[] { "includeServerSideToolInvocations" }))) { throw new NotSupportedException( - "includeServerSideToolInvocations parameter is not supported in Vertex AI."); + "includeServerSideToolInvocations parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } return toObject; @@ -944,7 +948,8 @@ internal JsonNode ToolToVertex(JsonNode fromObject, JsonObject parentObject) { } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "fileSearch" }))) { - throw new NotSupportedException("fileSearch parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "fileSearch parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (Common.GetValueByPath(fromObject, new string[] { "googleSearch" }) != null) { @@ -997,7 +1002,8 @@ internal JsonNode ToolToVertex(JsonNode fromObject, JsonObject parentObject) { } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "mcpServers" }))) { - throw new NotSupportedException("mcpServers parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "mcpServers parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } return toObject; diff --git a/Google.GenAI/Client.cs b/Google.GenAI/Client.cs index 1cf63e80..28c6b052 100644 --- a/Google.GenAI/Client.cs +++ b/Google.GenAI/Client.cs @@ -16,12 +16,14 @@ using Google.Apis.Auth.OAuth2; -namespace Google.GenAI { +namespace Google.GenAI +{ ///

/// Client for making synchronous requests. /// Using this client to make a request to Gemini Developer API or Vertex AI API. /// - public sealed class Client : IDisposable, IAsyncDisposable { + public sealed class Client : IDisposable, IAsyncDisposable + { private static string? geminiBaseUrl = null; private static string? vertexBaseUrl = null; internal readonly ApiClient _apiClient; @@ -38,9 +40,14 @@ public sealed class Client : IDisposable, IAsyncDisposable { /// /// Constructs a Client instance with the given parameters. /// - /// Optional Boolean for whether to use Vertex AI APIs. If not specified - /// here nor in the environment variable, defaults to false. Optional String for the Optional Boolean for whether to use Gemini Enterprise Agent Platform APIs. + /// If neither is specified here nor in the environment variable, defaults to false. + /// If both enterprise and vertexAI are set, and they have different values, an ArgumentException will be thrown. + /// Optional Boolean for whether to use Vertex AI APIs (now Gemini Enterprise Agent Platform). If not specified + /// here nor in the environment variable, defaults to false. + /// NOTE: Use enterprise parameter from now on. enterprise parameter takes precedence over this flag. + /// If both enterprise and vertexAI are set, and they have different values, an ArgumentException will be thrown. + /// Optional String for the API key. Gemini API only. /// Optional . /// Vertex AI only. Optional String for the project ID. Vertex AI @@ -52,32 +59,68 @@ public sealed class Client : IDisposable, IAsyncDisposable { /// Optional for sending /// HTTP requests. Thrown if the /// project/location and API key are set together. - public Client(bool? vertexAI = null, string? apiKey = null, ICredential? credential = null, + /// Optional for + /// configuring the client. + public Client(bool? enterprise = null, bool? vertexAI = null, string? apiKey = null, ICredential? credential = null, string? project = null, string? location = null, - Types.HttpOptions? httpOptions = null) { + Types.HttpOptions? httpOptions = null, + Types.ClientOptions? clientOptions = null) + { httpOptions ??= new(); - bool resolvedVertexAI; - if (vertexAI.HasValue) { - resolvedVertexAI = vertexAI.Value; - } else { - string? vertexAIEnv = Environment.GetEnvironmentVariable("GOOGLE_GENAI_USE_VERTEXAI"); - resolvedVertexAI = vertexAIEnv != null && vertexAIEnv.ToLower() == "true"; + + if (enterprise.HasValue && vertexAI.HasValue && enterprise.Value != vertexAI.Value) + { + throw new ArgumentException("enterprise and vertexAI flags have conflicting values, please set enterprise value only."); + } + + bool? resolvedCloudFlag = null; + + if (enterprise.HasValue) + { + resolvedCloudFlag = enterprise.Value; + } + + if (!resolvedCloudFlag.HasValue && vertexAI.HasValue) + { + resolvedCloudFlag = vertexAI.Value; + } + + string? enterpriseEnv = System.Environment.GetEnvironmentVariable("GOOGLE_GENAI_USE_ENTERPRISE"); + string? vertexAIEnv = System.Environment.GetEnvironmentVariable("GOOGLE_GENAI_USE_VERTEXAI"); + + if (!resolvedCloudFlag.HasValue && enterpriseEnv != null && vertexAIEnv != null) + { + System.Diagnostics.Trace.TraceWarning("Warning: Both GOOGLE_GENAI_USE_ENTERPRISE and GOOGLE_GENAI_USE_VERTEXAI are set. The value of GOOGLE_GENAI_USE_ENTERPRISE will be used."); + } + + if (!resolvedCloudFlag.HasValue && enterpriseEnv != null) + { + resolvedCloudFlag = enterpriseEnv.ToLower() == "true"; + } + + if (!resolvedCloudFlag.HasValue && vertexAIEnv != null) + { + resolvedCloudFlag = vertexAIEnv.ToLower() == "true"; } + + bool useCloudPlatform = resolvedCloudFlag ?? false; + string projectEnv = Environment.GetEnvironmentVariable("GOOGLE_CLOUD_PROJECT"); string locationEnv = Environment.GetEnvironmentVariable("GOOGLE_CLOUD_LOCATION"); string apiKeyEnv = Environment.GetEnvironmentVariable("GOOGLE_API_KEY"); - if ((project != null || location != null) && !resolvedVertexAI) { + if ((project != null || location != null) && !useCloudPlatform) + { if (apiKeyEnv == null && apiKey == null) { throw new ArgumentException( - "project/location is present, but vertexai is not set to true. project/location can only be used for Vertex AI. Please set vertexai to be true."); + "project/location is present, but neither enterprise nor vertexAI is set to true. project/location can only be used for a cloud platform. Please set enterprise to be true."); } } - httpOptions.BaseUrl ??= inferBaseUrl(resolvedVertexAI); + httpOptions.BaseUrl ??= inferBaseUrl(useCloudPlatform); - _apiClient = new HttpApiClient(vertexAI, apiKey, project, location, credential, httpOptions); + _apiClient = new HttpApiClient(enterprise, vertexAI, apiKey, project, location, credential, httpOptions, clientOptions); Live = new Live(_apiClient); Models = new Models(_apiClient); Tunings = new Tunings(_apiClient); @@ -87,14 +130,16 @@ public Client(bool? vertexAI = null, string? apiKey = null, ICredential? credent Files = new Files(_apiClient); } - static string? inferBaseUrl(bool vertexAI) { + static string? inferBaseUrl(bool vertexAI) + { if (vertexAI) return vertexBaseUrl ?? Environment.GetEnvironmentVariable("GOOGLE_VERTEX_BASE_URL"); else return geminiBaseUrl ?? Environment.GetEnvironmentVariable("GOOGLE_GEMINI_BASE_URL"); } - public static void setDefaultBaseUrl(string? vertexBaseUrl, string? geminiBaseUrl) { + public static void setDefaultBaseUrl(string? vertexBaseUrl, string? geminiBaseUrl) + { Client.vertexBaseUrl = vertexBaseUrl; Client.geminiBaseUrl = geminiBaseUrl; } @@ -104,21 +149,21 @@ public static void setDefaultBaseUrl(string? vertexBaseUrl, string? geminiBaseUr /// public void Dispose() { - Dispose(true); - GC.SuppressFinalize(this); + Dispose(true); + GC.SuppressFinalize(this); } private void Dispose(bool disposing) { - if (Interlocked.CompareExchange(ref _disposed, 1, 0) != 0) - { - return; - } + if (Interlocked.CompareExchange(ref _disposed, 1, 0) != 0) + { + return; + } - if (disposing) - { - _apiClient.Dispose(); - } + if (disposing) + { + _apiClient.Dispose(); + } } /// @@ -127,12 +172,12 @@ private void Dispose(bool disposing) /// A that represents the asynchronous dispose operation. public async ValueTask DisposeAsync() { - if (Interlocked.CompareExchange(ref _disposed, 1, 0) != 0) - { - return; - } - await _apiClient.DisposeAsync(); - GC.SuppressFinalize(this); + if (Interlocked.CompareExchange(ref _disposed, 1, 0) != 0) + { + return; + } + await _apiClient.DisposeAsync(); + GC.SuppressFinalize(this); } } } diff --git a/Google.GenAI/HttpApiClient.cs b/Google.GenAI/HttpApiClient.cs index ba402efb..5b63223c 100644 --- a/Google.GenAI/HttpApiClient.cs +++ b/Google.GenAI/HttpApiClient.cs @@ -85,13 +85,15 @@ public ServerError(string message, int statusCode, string? status, Exception inn public class HttpApiClient : ApiClient { public HttpApiClient( + bool? enterprise = null, bool? vertexAI = null, string? apiKey = null, string? project = null, string? location = null, ICredential? credentials = null, - Types.HttpOptions? httpOptions = null - ) : base(vertexAI, apiKey, project, location, credentials, httpOptions) { } + Types.HttpOptions? httpOptions = null, + Types.ClientOptions? clientOptions = null + ) : base(enterprise, vertexAI, apiKey, project, location, credentials, httpOptions, clientOptions) { } public override async Task RequestAsync( HttpMethod httpMethod, diff --git a/Google.GenAI/LiveConverters.cs b/Google.GenAI/LiveConverters.cs index 9c9ace7f..9f456886 100644 --- a/Google.GenAI/LiveConverters.cs +++ b/Google.GenAI/LiveConverters.cs @@ -228,7 +228,8 @@ internal JsonNode FunctionDeclarationToVertex(JsonNode fromObject, JsonObject pa } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "behavior" }))) { - throw new NotSupportedException("behavior parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "behavior parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } return toObject; @@ -328,11 +329,8 @@ internal JsonNode GenerationConfigToVertex(JsonNode fromObject, JsonObject paren } if (Common.GetValueByPath(fromObject, new string[] { "speechConfig" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "speechConfig" }, - SpeechConfigToVertex(Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "speechConfig" })), - toObject)); + Common.SetValueByPath(toObject, new string[] { "speechConfig" }, + Common.GetValueByPath(fromObject, new string[] { "speechConfig" })); } if (Common.GetValueByPath(fromObject, new string[] { "stopSequences" }) != null) { @@ -363,7 +361,7 @@ internal JsonNode GenerationConfigToVertex(JsonNode fromObject, JsonObject paren if (!Common.IsZero( Common.GetValueByPath(fromObject, new string[] { "enableEnhancedCivicAnswers" }))) { throw new NotSupportedException( - "enableEnhancedCivicAnswers parameter is not supported in Vertex AI."); + "enableEnhancedCivicAnswers parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } return toObject; @@ -606,7 +604,8 @@ internal JsonNode LiveClientRealtimeInputToVertex(JsonNode fromObject, } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "audioStreamEnd" }))) { - throw new NotSupportedException("audioStreamEnd parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "audioStreamEnd parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (Common.GetValueByPath(fromObject, new string[] { "video" }) != null) { @@ -711,6 +710,22 @@ internal JsonNode LiveClientSetupToMldev(JsonNode fromObject, JsonObject parentO "explicitVadSignal parameter is not supported in Gemini API."); } + if (Common.GetValueByPath(fromObject, new string[] { "avatarConfig" }) != null) { + Common.SetValueByPath(toObject, new string[] { "avatarConfig" }, + Common.GetValueByPath(fromObject, new string[] { "avatarConfig" })); + } + + if (Common.GetValueByPath(fromObject, new string[] { "safetySettings" }) != null) { + JsonArray keyArray = + (JsonArray)Common.GetValueByPath(fromObject, new string[] { "safetySettings" }); + JsonArray result = new JsonArray(); + + foreach (var record in keyArray) { + result.Add(SafetySettingToMldev(Common.ParseToJsonNode(record), toObject)); + } + Common.SetValueByPath(toObject, new string[] { "safetySettings" }, result); + } + return toObject; } @@ -790,6 +805,16 @@ internal JsonNode LiveClientSetupToVertex(JsonNode fromObject, JsonObject parent Common.GetValueByPath(fromObject, new string[] { "explicitVadSignal" })); } + if (Common.GetValueByPath(fromObject, new string[] { "avatarConfig" }) != null) { + Common.SetValueByPath(toObject, new string[] { "avatarConfig" }, + Common.GetValueByPath(fromObject, new string[] { "avatarConfig" })); + } + + if (Common.GetValueByPath(fromObject, new string[] { "safetySettings" }) != null) { + Common.SetValueByPath(toObject, new string[] { "safetySettings" }, + Common.GetValueByPath(fromObject, new string[] { "safetySettings" })); + } + return toObject; } @@ -925,6 +950,22 @@ internal JsonNode LiveConnectConfigToMldev(JsonNode fromObject, JsonObject paren "explicitVadSignal parameter is not supported in Gemini API."); } + if (Common.GetValueByPath(fromObject, new string[] { "avatarConfig" }) != null) { + Common.SetValueByPath(parentObject, new string[] { "setup", "avatarConfig" }, + Common.GetValueByPath(fromObject, new string[] { "avatarConfig" })); + } + + if (Common.GetValueByPath(fromObject, new string[] { "safetySettings" }) != null) { + JsonArray keyArray = + (JsonArray)Common.GetValueByPath(fromObject, new string[] { "safetySettings" }); + JsonArray result = new JsonArray(); + + foreach (var record in keyArray) { + result.Add(SafetySettingToMldev(Common.ParseToJsonNode(record), toObject)); + } + Common.SetValueByPath(parentObject, new string[] { "setup", "safetySettings" }, result); + } + return toObject; } @@ -979,12 +1020,10 @@ internal JsonNode LiveConnectConfigToVertex(JsonNode fromObject, JsonObject pare } if (Common.GetValueByPath(fromObject, new string[] { "speechConfig" }) != null) { - Common.SetValueByPath( - parentObject, new string[] { "setup", "generationConfig", "speechConfig" }, - SpeechConfigToVertex( - Common.ParseToJsonNode(Transformers.TLiveSpeechConfig( - Common.GetValueByPath(fromObject, new string[] { "speechConfig" }))), - toObject)); + Common.SetValueByPath(parentObject, + new string[] { "setup", "generationConfig", "speechConfig" }, + Transformers.TLiveSpeechConfig(Common.GetValueByPath( + fromObject, new string[] { "speechConfig" }))); } if (Common.GetValueByPath(fromObject, new string[] { "thinkingConfig" }) != null) { @@ -1059,6 +1098,16 @@ internal JsonNode LiveConnectConfigToVertex(JsonNode fromObject, JsonObject pare Common.GetValueByPath(fromObject, new string[] { "explicitVadSignal" })); } + if (Common.GetValueByPath(fromObject, new string[] { "avatarConfig" }) != null) { + Common.SetValueByPath(parentObject, new string[] { "setup", "avatarConfig" }, + Common.GetValueByPath(fromObject, new string[] { "avatarConfig" })); + } + + if (Common.GetValueByPath(fromObject, new string[] { "safetySettings" }) != null) { + Common.SetValueByPath(parentObject, new string[] { "setup", "safetySettings" }, + Common.GetValueByPath(fromObject, new string[] { "safetySettings" })); + } + return toObject; } @@ -1323,24 +1372,6 @@ internal JsonNode LiveServerMessageFromVertex(JsonNode fromObject, JsonObject pa return toObject; } - internal JsonNode MultiSpeakerVoiceConfigToVertex(JsonNode fromObject, - JsonObject parentObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "speakerVoiceConfigs" }) != null) { - JsonArray keyArray = - (JsonArray)Common.GetValueByPath(fromObject, new string[] { "speakerVoiceConfigs" }); - JsonArray result = new JsonArray(); - - foreach (var record in keyArray) { - result.Add(SpeakerVoiceConfigToVertex(Common.ParseToJsonNode(record), toObject)); - } - Common.SetValueByPath(toObject, new string[] { "speakerVoiceConfigs" }, result); - } - - return toObject; - } - internal JsonNode PartToMldev(JsonNode fromObject, JsonObject parentObject) { JsonObject toObject = new JsonObject(); @@ -1490,32 +1521,38 @@ internal JsonNode PartToVertex(JsonNode fromObject, JsonObject parentObject) { } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "toolCall" }))) { - throw new NotSupportedException("toolCall parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "toolCall parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "toolResponse" }))) { - throw new NotSupportedException("toolResponse parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "toolResponse parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "partMetadata" }))) { - throw new NotSupportedException("partMetadata parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "partMetadata parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } return toObject; } - internal JsonNode ReplicatedVoiceConfigToVertex(JsonNode fromObject, JsonObject parentObject) { + internal JsonNode SafetySettingToMldev(JsonNode fromObject, JsonObject parentObject) { JsonObject toObject = new JsonObject(); - if (Common.GetValueByPath(fromObject, new string[] { "mimeType" }) != null) { - Common.SetValueByPath(toObject, new string[] { "mimeType" }, - Common.GetValueByPath(fromObject, new string[] { "mimeType" })); + if (Common.GetValueByPath(fromObject, new string[] { "category" }) != null) { + Common.SetValueByPath(toObject, new string[] { "category" }, + Common.GetValueByPath(fromObject, new string[] { "category" })); } - if (Common.GetValueByPath(fromObject, new string[] { "voiceSampleAudio" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "voiceSampleAudio" }, - Common.GetValueByPath(fromObject, new string[] { "voiceSampleAudio" })); + if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "method" }))) { + throw new NotSupportedException("method parameter is not supported in Gemini API."); + } + + if (Common.GetValueByPath(fromObject, new string[] { "threshold" }) != null) { + Common.SetValueByPath(toObject, new string[] { "threshold" }, + Common.GetValueByPath(fromObject, new string[] { "threshold" })); } return toObject; @@ -1536,50 +1573,6 @@ internal JsonNode SessionResumptionConfigToMldev(JsonNode fromObject, JsonObject return toObject; } - internal JsonNode SpeakerVoiceConfigToVertex(JsonNode fromObject, JsonObject parentObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "speaker" }) != null) { - Common.SetValueByPath(toObject, new string[] { "speaker" }, - Common.GetValueByPath(fromObject, new string[] { "speaker" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "voiceConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "voiceConfig" }, - VoiceConfigToVertex(Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "voiceConfig" })), - toObject)); - } - - return toObject; - } - - internal JsonNode SpeechConfigToVertex(JsonNode fromObject, JsonObject parentObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "voiceConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "voiceConfig" }, - VoiceConfigToVertex(Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "voiceConfig" })), - toObject)); - } - - if (Common.GetValueByPath(fromObject, new string[] { "languageCode" }) != null) { - Common.SetValueByPath(toObject, new string[] { "languageCode" }, - Common.GetValueByPath(fromObject, new string[] { "languageCode" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "multiSpeakerVoiceConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "multiSpeakerVoiceConfig" }, - MultiSpeakerVoiceConfigToVertex( - Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "multiSpeakerVoiceConfig" })), - toObject)); - } - - return toObject; - } - internal JsonNode ToolToMldev(JsonNode fromObject, JsonObject parentObject) { JsonObject toObject = new JsonObject(); @@ -1666,7 +1659,8 @@ internal JsonNode ToolToVertex(JsonNode fromObject, JsonObject parentObject) { } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "fileSearch" }))) { - throw new NotSupportedException("fileSearch parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "fileSearch parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (Common.GetValueByPath(fromObject, new string[] { "googleSearch" }) != null) { @@ -1719,7 +1713,8 @@ internal JsonNode ToolToVertex(JsonNode fromObject, JsonObject parentObject) { } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "mcpServers" }))) { - throw new NotSupportedException("mcpServers parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "mcpServers parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } return toObject; @@ -1818,25 +1813,5 @@ internal JsonNode VoiceActivityFromVertex(JsonNode fromObject, JsonObject parent return toObject; } - - internal JsonNode VoiceConfigToVertex(JsonNode fromObject, JsonObject parentObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "replicatedVoiceConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "replicatedVoiceConfig" }, - ReplicatedVoiceConfigToVertex( - Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "replicatedVoiceConfig" })), - toObject)); - } - - if (Common.GetValueByPath(fromObject, new string[] { "prebuiltVoiceConfig" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "prebuiltVoiceConfig" }, - Common.GetValueByPath(fromObject, new string[] { "prebuiltVoiceConfig" })); - } - - return toObject; - } } } diff --git a/Google.GenAI/Models.cs b/Google.GenAI/Models.cs index 8eaae01f..9b48b05d 100644 --- a/Google.GenAI/Models.cs +++ b/Google.GenAI/Models.cs @@ -716,6 +716,16 @@ internal JsonNode EmbedContentConfigToMldev(JsonNode fromObject, JsonObject pare throw new NotSupportedException("autoTruncate parameter is not supported in Gemini API."); } + if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "documentOcr" }))) { + throw new NotSupportedException("documentOcr parameter is not supported in Gemini API."); + } + + if (!Common.IsZero( + Common.GetValueByPath(fromObject, new string[] { "audioTrackExtraction" }))) { + throw new NotSupportedException( + "audioTrackExtraction parameter is not supported in Gemini API."); + } + return toObject; } @@ -734,7 +744,7 @@ internal JsonNode EmbedContentConfigToVertex(JsonNode fromObject, JsonObject par } } else if (discriminatorValueTaskType == "EMBED_CONTENT") { if (Common.GetValueByPath(fromObject, new string[] { "taskType" }) != null) { - Common.SetValueByPath(parentObject, new string[] { "taskType" }, + Common.SetValueByPath(parentObject, new string[] { "embedContentConfig", "taskType" }, Common.GetValueByPath(fromObject, new string[] { "taskType" })); } } @@ -750,7 +760,7 @@ internal JsonNode EmbedContentConfigToVertex(JsonNode fromObject, JsonObject par } } else if (discriminatorValueTitle == "EMBED_CONTENT") { if (Common.GetValueByPath(fromObject, new string[] { "title" }) != null) { - Common.SetValueByPath(parentObject, new string[] { "title" }, + Common.SetValueByPath(parentObject, new string[] { "embedContentConfig", "title" }, Common.GetValueByPath(fromObject, new string[] { "title" })); } } @@ -770,7 +780,7 @@ internal JsonNode EmbedContentConfigToVertex(JsonNode fromObject, JsonObject par } else if (discriminatorValueOutputDimensionality == "EMBED_CONTENT") { if (Common.GetValueByPath(fromObject, new string[] { "outputDimensionality" }) != null) { Common.SetValueByPath( - parentObject, new string[] { "outputDimensionality" }, + parentObject, new string[] { "embedContentConfig", "outputDimensionality" }, Common.GetValueByPath(fromObject, new string[] { "outputDimensionality" })); } } @@ -798,11 +808,37 @@ internal JsonNode EmbedContentConfigToVertex(JsonNode fromObject, JsonObject par } } else if (discriminatorValueAutoTruncate == "EMBED_CONTENT") { if (Common.GetValueByPath(fromObject, new string[] { "autoTruncate" }) != null) { - Common.SetValueByPath(parentObject, new string[] { "autoTruncate" }, + Common.SetValueByPath(parentObject, new string[] { "embedContentConfig", "autoTruncate" }, Common.GetValueByPath(fromObject, new string[] { "autoTruncate" })); } } + JsonNode discriminatorDocumentOcr = + Common.GetValueByPath(rootObject, new string[] { "embeddingApiType" }); + string discriminatorValueDocumentOcr = discriminatorDocumentOcr == null + ? "PREDICT" + : discriminatorDocumentOcr.GetValue(); + if (discriminatorValueDocumentOcr == "EMBED_CONTENT") { + if (Common.GetValueByPath(fromObject, new string[] { "documentOcr" }) != null) { + Common.SetValueByPath(parentObject, new string[] { "embedContentConfig", "documentOcr" }, + Common.GetValueByPath(fromObject, new string[] { "documentOcr" })); + } + } + + JsonNode discriminatorAudioTrackExtraction = + Common.GetValueByPath(rootObject, new string[] { "embeddingApiType" }); + string discriminatorValueAudioTrackExtraction = + discriminatorAudioTrackExtraction == null + ? "PREDICT" + : discriminatorAudioTrackExtraction.GetValue(); + if (discriminatorValueAudioTrackExtraction == "EMBED_CONTENT") { + if (Common.GetValueByPath(fromObject, new string[] { "audioTrackExtraction" }) != null) { + Common.SetValueByPath( + parentObject, new string[] { "embedContentConfig", "audioTrackExtraction" }, + Common.GetValueByPath(fromObject, new string[] { "audioTrackExtraction" })); + } + } + return toObject; } @@ -1103,7 +1139,8 @@ internal JsonNode FunctionDeclarationToVertex(JsonNode fromObject, JsonObject pa } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "behavior" }))) { - throw new NotSupportedException("behavior parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "behavior parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } return toObject; @@ -1454,12 +1491,9 @@ internal JsonNode GenerateContentConfigToVertex(ApiClient apiClient, JsonNode fr } if (Common.GetValueByPath(fromObject, new string[] { "speechConfig" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "speechConfig" }, - SpeechConfigToVertex( - Common.ParseToJsonNode(Transformers.TSpeechConfig( - Common.GetValueByPath(fromObject, new string[] { "speechConfig" }))), - toObject, rootObject)); + Common.SetValueByPath(toObject, new string[] { "speechConfig" }, + Transformers.TSpeechConfig(Common.GetValueByPath( + fromObject, new string[] { "speechConfig" }))); } if (Common.GetValueByPath(fromObject, new string[] { "audioTimestamp" }) != null) { @@ -1482,7 +1516,7 @@ internal JsonNode GenerateContentConfigToVertex(ApiClient apiClient, JsonNode fr if (!Common.IsZero( Common.GetValueByPath(fromObject, new string[] { "enableEnhancedCivicAnswers" }))) { throw new NotSupportedException( - "enableEnhancedCivicAnswers parameter is not supported in Vertex AI."); + "enableEnhancedCivicAnswers parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (Common.GetValueByPath(fromObject, new string[] { "modelArmorConfig" }) != null) { @@ -2068,6 +2102,11 @@ internal JsonNode GenerateVideosConfigToMldev(JsonNode fromObject, JsonObject pa throw new NotSupportedException("labels parameter is not supported in Gemini API."); } + if (Common.GetValueByPath(fromObject, new string[] { "webhookConfig" }) != null) { + Common.SetValueByPath(parentObject, new string[] { "webhookConfig" }, + Common.GetValueByPath(fromObject, new string[] { "webhookConfig" })); + } + return toObject; } @@ -2176,6 +2215,11 @@ internal JsonNode GenerateVideosConfigToVertex(JsonNode fromObject, JsonObject p Common.GetValueByPath(fromObject, new string[] { "labels" })); } + if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "webhookConfig" }))) { + throw new NotSupportedException( + "webhookConfig parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); + } + return toObject; } @@ -2660,11 +2704,8 @@ internal JsonNode GenerationConfigToVertex(JsonNode fromObject, JsonObject paren } if (Common.GetValueByPath(fromObject, new string[] { "speechConfig" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "speechConfig" }, - SpeechConfigToVertex(Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "speechConfig" })), - toObject, rootObject)); + Common.SetValueByPath(toObject, new string[] { "speechConfig" }, + Common.GetValueByPath(fromObject, new string[] { "speechConfig" })); } if (Common.GetValueByPath(fromObject, new string[] { "stopSequences" }) != null) { @@ -2695,7 +2736,7 @@ internal JsonNode GenerationConfigToVertex(JsonNode fromObject, JsonObject paren if (!Common.IsZero( Common.GetValueByPath(fromObject, new string[] { "enableEnhancedCivicAnswers" }))) { throw new NotSupportedException( - "enableEnhancedCivicAnswers parameter is not supported in Vertex AI."); + "enableEnhancedCivicAnswers parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } return toObject; @@ -3255,25 +3296,6 @@ internal JsonNode ModelFromVertex(JsonNode fromObject, JsonObject parentObject, return toObject; } - internal JsonNode MultiSpeakerVoiceConfigToVertex(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "speakerVoiceConfigs" }) != null) { - JsonArray keyArray = - (JsonArray)Common.GetValueByPath(fromObject, new string[] { "speakerVoiceConfigs" }); - JsonArray result = new JsonArray(); - - foreach (var record in keyArray) { - result.Add( - SpeakerVoiceConfigToVertex(Common.ParseToJsonNode(record), toObject, rootObject)); - } - Common.SetValueByPath(toObject, new string[] { "speakerVoiceConfigs" }, result); - } - - return toObject; - } - internal JsonNode PartToMldev(JsonNode fromObject, JsonObject parentObject, JsonNode rootObject) { JsonObject toObject = new JsonObject(); @@ -3425,15 +3447,18 @@ internal JsonNode PartToVertex(JsonNode fromObject, JsonObject parentObject, } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "toolCall" }))) { - throw new NotSupportedException("toolCall parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "toolCall parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "toolResponse" }))) { - throw new NotSupportedException("toolResponse parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "toolResponse parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "partMetadata" }))) { - throw new NotSupportedException("partMetadata parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "partMetadata parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } return toObject; @@ -3648,24 +3673,6 @@ internal JsonNode ReferenceImageAPIToVertex(JsonNode fromObject, JsonObject pare return toObject; } - internal JsonNode ReplicatedVoiceConfigToVertex(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "mimeType" }) != null) { - Common.SetValueByPath(toObject, new string[] { "mimeType" }, - Common.GetValueByPath(fromObject, new string[] { "mimeType" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "voiceSampleAudio" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "voiceSampleAudio" }, - Common.GetValueByPath(fromObject, new string[] { "voiceSampleAudio" })); - } - - return toObject; - } - internal JsonNode SafetyAttributesFromMldev(JsonNode fromObject, JsonObject parentObject, JsonNode rootObject) { JsonObject toObject = new JsonObject(); @@ -3864,52 +3871,6 @@ internal JsonNode SegmentImageSourceToVertex(JsonNode fromObject, JsonObject par return toObject; } - internal JsonNode SpeakerVoiceConfigToVertex(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "speaker" }) != null) { - Common.SetValueByPath(toObject, new string[] { "speaker" }, - Common.GetValueByPath(fromObject, new string[] { "speaker" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "voiceConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "voiceConfig" }, - VoiceConfigToVertex(Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "voiceConfig" })), - toObject, rootObject)); - } - - return toObject; - } - - internal JsonNode SpeechConfigToVertex(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "voiceConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "voiceConfig" }, - VoiceConfigToVertex(Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "voiceConfig" })), - toObject, rootObject)); - } - - if (Common.GetValueByPath(fromObject, new string[] { "languageCode" }) != null) { - Common.SetValueByPath(toObject, new string[] { "languageCode" }, - Common.GetValueByPath(fromObject, new string[] { "languageCode" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "multiSpeakerVoiceConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "multiSpeakerVoiceConfig" }, - MultiSpeakerVoiceConfigToVertex( - Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "multiSpeakerVoiceConfig" })), - toObject, rootObject)); - } - - return toObject; - } - internal JsonNode ToolConfigToMldev(JsonNode fromObject, JsonObject parentObject, JsonNode rootObject) { JsonObject toObject = new JsonObject(); @@ -3957,7 +3918,7 @@ internal JsonNode ToolConfigToVertex(JsonNode fromObject, JsonObject parentObjec if (!Common.IsZero(Common.GetValueByPath( fromObject, new string[] { "includeServerSideToolInvocations" }))) { throw new NotSupportedException( - "includeServerSideToolInvocations parameter is not supported in Vertex AI."); + "includeServerSideToolInvocations parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } return toObject; @@ -4051,7 +4012,8 @@ internal JsonNode ToolToVertex(JsonNode fromObject, JsonObject parentObject, } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "fileSearch" }))) { - throw new NotSupportedException("fileSearch parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "fileSearch parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } if (Common.GetValueByPath(fromObject, new string[] { "googleSearch" }) != null) { @@ -4105,7 +4067,8 @@ internal JsonNode ToolToVertex(JsonNode fromObject, JsonObject parentObject, } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "mcpServers" }))) { - throw new NotSupportedException("mcpServers parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "mcpServers parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } return toObject; @@ -4502,27 +4465,6 @@ internal JsonNode VideoToVertex(JsonNode fromObject, JsonObject parentObject, return toObject; } - internal JsonNode VoiceConfigToVertex(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "replicatedVoiceConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "replicatedVoiceConfig" }, - ReplicatedVoiceConfigToVertex( - Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "replicatedVoiceConfig" })), - toObject, rootObject)); - } - - if (Common.GetValueByPath(fromObject, new string[] { "prebuiltVoiceConfig" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "prebuiltVoiceConfig" }, - Common.GetValueByPath(fromObject, new string[] { "prebuiltVoiceConfig" })); - } - - return toObject; - } - public Models(ApiClient apiClient) { _apiClient = apiClient; } @@ -4860,7 +4802,8 @@ private async Task PrivateEditImageAsync( parameterNode); path = Common.FormatMap("{model}:predict", body["_url"]); } else { - throw new NotSupportedException("This method is only supported in the Vertex AI client."); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } JsonObject? bodyObj = body?.AsObject(); bodyObj?.Remove("_url"); @@ -4893,7 +4836,8 @@ await this._apiClient.RequestAsync(HttpMethod.Post, path, JsonSerializer.Seriali } if (!this._apiClient.VertexAI) { - throw new NotSupportedException("This method is only supported in the Vertex AI client."); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } return responseNode.Deserialize() ?? @@ -4930,7 +4874,8 @@ private async Task PrivateUpscaleImageAsync( parameterNode); path = Common.FormatMap("{model}:predict", body["_url"]); } else { - throw new NotSupportedException("This method is only supported in the Vertex AI client."); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } JsonObject? bodyObj = body?.AsObject(); bodyObj?.Remove("_url"); @@ -4963,7 +4908,8 @@ await this._apiClient.RequestAsync(HttpMethod.Post, path, JsonSerializer.Seriali } if (!this._apiClient.VertexAI) { - throw new NotSupportedException("This method is only supported in the Vertex AI client."); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } return responseNode.Deserialize() ?? @@ -4998,7 +4944,8 @@ public async Task RecontextImageAsync( parameterNode); path = Common.FormatMap("{model}:predict", body["_url"]); } else { - throw new NotSupportedException("This method is only supported in the Vertex AI client."); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } JsonObject? bodyObj = body?.AsObject(); bodyObj?.Remove("_url"); @@ -5031,7 +4978,8 @@ await this._apiClient.RequestAsync(HttpMethod.Post, path, JsonSerializer.Seriali } if (!this._apiClient.VertexAI) { - throw new NotSupportedException("This method is only supported in the Vertex AI client."); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } return responseNode.Deserialize() ?? @@ -5066,7 +5014,8 @@ public async Task SegmentImageAsync( parameterNode); path = Common.FormatMap("{model}:predict", body["_url"]); } else { - throw new NotSupportedException("This method is only supported in the Vertex AI client."); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } JsonObject? bodyObj = body?.AsObject(); bodyObj?.Remove("_url"); @@ -5099,7 +5048,8 @@ await this._apiClient.RequestAsync(HttpMethod.Post, path, JsonSerializer.Seriali } if (!this._apiClient.VertexAI) { - throw new NotSupportedException("This method is only supported in the Vertex AI client."); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } return responseNode.Deserialize() ?? @@ -5478,7 +5428,7 @@ await this._apiClient.RequestAsync(HttpMethod.Post, path, JsonSerializer.Seriali /// cref="Task{ComputeTokensResponse}"/> that represents the asynchronous operation. The task /// result contains a instance with token /// information. Thrown when called with a - /// non-Vertex AI client. + /// non-Gemini Enterprise Agent Platform (previously known as Vertex AI) client. public async Task ComputeTokensAsync( string model, List contents, ComputeTokensConfig? config = null, @@ -5507,7 +5457,8 @@ public async Task ComputeTokensAsync( parameterNode); path = Common.FormatMap("{model}:computeTokens", body["_url"]); } else { - throw new NotSupportedException("This method is only supported in the Vertex AI client."); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } JsonObject? bodyObj = body?.AsObject(); bodyObj?.Remove("_url"); @@ -5540,7 +5491,8 @@ await this._apiClient.RequestAsync(HttpMethod.Post, path, JsonSerializer.Seriali } if (!this._apiClient.VertexAI) { - throw new NotSupportedException("This method is only supported in the Vertex AI client."); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } return responseNode.Deserialize() ?? @@ -5829,7 +5781,7 @@ public async Task> ListAsync( if (!config.QueryBase.Value) { if (!String.IsNullOrEmpty(config.Filter)) { throw new NotSupportedException( - "Filtering tuned models list for Vertex AI is not currently supported"); + "Filtering tuned models list for Gemini Enterprise Agent Platform (previously known as Vertex AI) is not currently supported"); } } } @@ -5894,7 +5846,7 @@ public async Task CountTokensAsync( /// cref="Task{ComputeTokensResponse}"/> that represents the asynchronous operation. The task /// result contains a instance with token /// information. Thrown when called with a - /// non-Vertex AI client. + /// non-Gemini Enterprise Agent Platform (previously known as Vertex AI) client. public async Task ComputeTokensAsync( String model, Content contents, ComputeTokensConfig? config = null, CancellationToken cancellationToken = default) { @@ -5913,7 +5865,7 @@ public async Task ComputeTokensAsync( /// cref="Task{ComputeTokensResponse}"/> that represents the asynchronous operation. The task /// result contains a instance with token /// information. Thrown when called with a - /// non-Vertex AI client. + /// non-Gemini Enterprise Agent Platform (previously known as Vertex AI) client. public async Task ComputeTokensAsync( String model, String contents, ComputeTokensConfig? config = null, CancellationToken cancellationToken = default) { diff --git a/Google.GenAI/Operations.cs b/Google.GenAI/Operations.cs index ef278f28..521aac92 100644 --- a/Google.GenAI/Operations.cs +++ b/Google.GenAI/Operations.cs @@ -355,7 +355,8 @@ internal async Task PrivateFetchPredictVideosOperationAsync( body = FetchPredictOperationParametersToVertex(parameterNode, new JsonObject()); path = Common.FormatMap("{resourceName}:fetchPredictOperation", body["_url"]); } else { - throw new NotSupportedException("This method is only supported in the Vertex AI client."); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } JsonObject? bodyObj = body?.AsObject(); bodyObj?.Remove("_url"); diff --git a/Google.GenAI/README.md b/Google.GenAI/README.md index 12cd19f5..9d74afdb 100644 --- a/Google.GenAI/README.md +++ b/Google.GenAI/README.md @@ -1,7 +1,7 @@ Google Gen AI .NET SDK provides an interface for developers to integrate Google's generative models into their .NET applications. It supports the [Gemini Developer API](https://ai.google.dev/gemini-api/docs) and -[Vertex AI](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/overview) +[Gemini Enterprise Agent Platform](https://docs.cloud.google.com/gemini-enterprise-agent-platform) APIs. ## Supported .NET version @@ -29,7 +29,7 @@ using Google.GenAI.Types; ## Create a client Please run one of the following code blocks to create a client for -different services ([Gemini Developer API](https://ai.google.dev/gemini-api/docs) or [Vertex AI](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/overview)). +different services ([Gemini Developer API](https://ai.google.dev/gemini-api/docs) or [Gemini Enterprise Agent Platform](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/overview)). ```csharp using Google.GenAI; @@ -41,9 +41,9 @@ var client = new Client(apiKey: apiKey); ```csharp using Google.GenAI; -// only run this block for Vertex AI API +// only run this block for Gemini Enterprise Agent Platform API client = new Client( - project: project, location: location, vertexAI: true + project: project, location: location, enterprise: true ) ``` @@ -51,7 +51,7 @@ client = new Client( You can create a client by configuring the necessary environment variables. Configuration setup instructions depends on whether you're using the Gemini -Developer API or the Gemini API in Vertex AI. +Developer API or the Gemini Enterprise Agent Platform. **Gemini Developer API:** Set the `GOOGLE_API_KEY`. It will automatically be picked up by the client. @@ -60,11 +60,11 @@ picked up by the client. export GEMINI_API_KEY='your-api-key' ``` -**Gemini API on Vertex AI:** Set `GOOGLE_GENAI_USE_VERTEXAI`, +**Gemini Enterprise Agent Platform:** Set `GOOGLE_GENAI_USE_ENTERPRISE`, `GOOGLE_CLOUD_PROJECT` and `GOOGLE_CLOUD_LOCATION`, as shown below: ```bash -export GOOGLE_GENAI_USE_VERTEXAI=true +export GOOGLE_GENAI_USE_ENTERPRISE=true export GOOGLE_CLOUD_PROJECT='your-project-id' export GOOGLE_CLOUD_LOCATION='us-central1' ``` @@ -122,7 +122,7 @@ available in GenerateContentAsync's config parameter. For example, to make a mod deterministic, lowering the `Temperature` parameter reduces randomness, with values near 0 minimizing variability. Capabilities and parameter defaults for each model is shown in the -[Vertex AI docs](https://cloud.google.com/vertex-ai/generative-ai/docs/models/gemini/2-5-flash) +[Gemini Enterprise Agent Platform docs](https://cloud.google.com/vertex-ai/generative-ai/docs/models/gemini/2-5-flash) and [Gemini API docs](https://ai.google.dev/gemini-api/docs/models) respectively. ```csharp @@ -272,6 +272,38 @@ class GenerateContentStreamSimpleText { ``` +### IChatClient + +Microsoft.Extensions.AI provides abstractions and exchange types for working with AI services. The Google.GenAI library includes an implementation of the IChatClient interface to enable +easy integration with applications that use these abstractions. +```csharp +using Google.GenAI; +using Microsoft.Extensions.AI; +using System.ComponentModel + +// assuming credentials are set up in environment variables as instructed above. +IChatClient chatClient = new Client().AsIChatClient("gemini-2.0-flash") + .AsBuilder() + .UseFunctionInvocation() + .UseOpenTelemetry() + .Build(); + +ChatOptions options = new() +{ + Tools = [AIFunctionFactory.Create(([Description("The name of the person whose age is to be retrieved")] string personName) => personName switch + { + "Alice" => 30, + "Bob" => 25, + _ => 35 + }, "get_person_age", "Gets the age of the specified person"); +}; + +await foreach (var update in chatClient.GetStreamingResponseAsync("How much older is Alice than Bob?", options)) +{ + Console.Write(update); +} +``` + ### Generate Images ```csharp @@ -306,7 +338,7 @@ public class GenerateImagesSimple { ### Upscale Image -Upscaling an image is only supported on the Vertex AI client. +Upscaling an image is only supported on the Gemini Enterprise Agent Platform client. ```csharp using System.Threading.Tasks; @@ -335,7 +367,7 @@ public class UpscaleImageSimple { Edit image uses a separate model from generate and upscale. -Edit image is only supported in the Vertex AI client. +Edit image is only supported in the Gemini Enterprise Agent Platform. ```csharp using Google.GenAI; @@ -386,7 +418,7 @@ public class EditImageSimple { ### Segment Image -Segment image is only supported in the Vertex AI client. +Segment image is only supported in the Gemini Enterprise Agent Platform client. ```csharp using Google.GenAI; @@ -418,7 +450,7 @@ public class SegmentImageSimple { ### Generate Videos Generated videos can be either be returned by the API as bytes or a GCS URI for -Vertex. For Gemini Developer API, only a Files URI can be returned. +Gemini Enterprise Agent Platform. For Gemini Developer API, only a Files URI can be returned. For Gemini, generated videos can be downloaded to a local file as follows: @@ -589,7 +621,7 @@ public class GenerateVideosReferenceImages{ #### Generate Videos (From Video) Gemini Developer API only accepts previously generated videos. -Vertex accepts a Video from GCS URI. +Gemini Enterprise Agent Platform accepts a Video from GCS URI. ```csharp using System.Threading.Tasks; @@ -644,7 +676,7 @@ public class GenerateVideosFromVideo { ``` ### Edit Video -Editing a video is only available on Vertex +Editing a video is only available on Gemini Enterprise Agent Platform. ```csharp using System.Threading.Tasks; @@ -675,13 +707,13 @@ public class EditVideoOutpaint { MaskMode = VideoGenerationMaskMode.OUTPAINT, }, }; - var operation = await vertexClient.Models.GenerateVideosAsync( + var operation = await client.Models.GenerateVideosAsync( model: "veo-2.0-generate-exp", source: source, config: config); while (operation.Done != true) { try { await Task.Delay(10000); - operation = await vertexClient.Operations.GetAsync(operation, null); + operation = await client.Operations.GetAsync(operation, null); } catch (TaskCanceledException) { System.Console.WriteLine("Task was cancelled while waiting."); break; @@ -754,8 +786,8 @@ public class EmbedContentExample { Console.WriteLine(response.Embeddings[0].Values); - // Multimodal embedding with Vertex AI - var vertexClient = new Client(vertexAI: true); + // Multimodal embedding with Gemini Enterprise Agent Platform + var client = new Client(enterprise: true); var contents = new List { new Content { Parts = new List { @@ -774,7 +806,7 @@ public class EmbedContentExample { Title = "test_title", TaskType = "RETRIEVAL_DOCUMENT", }; - var mmResponse = await vertexClient.Models.EmbedContentAsync( + var mmResponse = await client.Models.EmbedContentAsync( model: "gemini-embedding-2-exp-11-2025", contents: contents, config: config); Console.WriteLine(mmResponse.Embeddings); } @@ -882,9 +914,11 @@ The `client.Batches` module can be used to manage batch jobs. See `Create a client` section above to initialize a client. ### Create Batch Job -Batch jobs can be created from GCS URIs or BigQuery URIs when using Vertex AI, or from Files or Inlined Requests when using the Gemini API. +Batch jobs can be created from GCS URIs or BigQuery URIs when using Gemini +Enterprise Agent Platform, or from Files or Inlined Requests when using the +Gemini API. -#### With GCS URI (Vertex AI only) +#### With GCS URI (Gemini Enterprise Agent Platform only) ```csharp using System; using System.Collections.Generic; @@ -895,7 +929,7 @@ using Google.GenAI.Types; public class CreateBatchWithGcs { public static async Task main() { - // assuming credentials are set up for Vertex AI in environment variables as instructed above. + // assuming credentials are set up for Gemini Enterprise Agent Platform in environment variables as instructed above. var client = new Client(); var src = new BatchJobSource { @@ -912,12 +946,12 @@ public class CreateBatchWithGcs { } }; var response = await client.Batches.CreateAsync("gemini-2.5-flash", src, config); - Console.WriteLine($"Created Vertex AI batch job: {response.Name}"); + Console.WriteLine($"Created Gemini Enterprise Agent Platform batch job: {response.Name}"); } } ``` -#### With BigQuery URI (Vertex AI only) +#### With BigQuery URI (Gemini Enterprise Agent Platform only) ```csharp using System; using System.Collections.Generic; @@ -928,7 +962,7 @@ using Google.GenAI.Types; public class CreateBatchWithBigQuery { public static async Task main() { - // assuming credentials are set up for Vertex AI in environment variables as instructed above. + // assuming credentials are set up for Gemini Enterprise Agent Platfrom in environment variables as instructed above. var client = new Client(); var src = new BatchJobSource { @@ -945,7 +979,7 @@ public class CreateBatchWithBigQuery { } }; var response = await client.Batches.CreateAsync("gemini-2.5-flash", src, config); - Console.WriteLine($"Created Vertex AI batch job: {response.Name}"); + Console.WriteLine($"Created Gemini Enterprise Agent Platform batch job: {response.Name}"); } } ``` @@ -1178,7 +1212,8 @@ The `client.Caches` module can be used to manage cached content. See `Create a client` section above to initialize a client. ### Create Cache -Cacheable content can be created from Google Cloud Storage URIs when using Vertex AI, or from File URIs when using the Gemini API. +Cacheable content can be created from Google Cloud Storage URIs when using +Gemini Enterprise Agent Platform, or from File URIs when using the Gemini API. ```csharp using System.Threading.Tasks; @@ -1188,9 +1223,9 @@ using Google.GenAI.Types; public class CreateCache { public static async Task main() { - // Example for Vertex AI with GCS URIs: - var vertexClient = new Client(project: project, location: location, vertexAI: true); - var vertexConfig = new CreateCachedContentConfig { + // Example for Gemini Enterprise Agent Platform with GCS URIs: + var enterpriseClient = new Client(project: project, location: location, enterprise: true); + var erpriseConfig = new CreateCachedContentConfig { Contents = new List { new Content { Role = "user", @@ -1200,11 +1235,11 @@ public class CreateCache { } } }, - DisplayName = "my-vertex-cache", + DisplayName = "my-enterprise-cache", Ttl = "600s" }; - var vertexResponse = await vertexClient.Caches.CreateAsync(model: "gemini-2.5-flash", config: vertexConfig); - Console.WriteLine($"Created Vertex AI cache: {vertexResponse.Name}"); + var enterpriseResponse = await enterpriseClient.Caches.CreateAsync(model: "gemini-2.5-flash", config: enterpriseConfig); + Console.WriteLine($"Created Gemini Enterprise Agent Platform cache: {enterpriseResponse.Name}"); // Example for Gemini API with File URIs: var geminiClient = new Client(apiKey: apiKey); @@ -1306,7 +1341,7 @@ public class ListCaches { The `client.Tunings` module exposes model tuning. See `Create a client` section above to initialize a client. -### Create Tuning Job (Vertex Only) +### Create Tuning Job (Gemini Enterprise Agent Platform only) #### With simple training data @@ -1318,7 +1353,7 @@ using Google.GenAI.Types; public class CreateTuningJobSimple { public static async Task main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: true); + var client = new Client(enterprise: true); var trainingDataset = new TuningDataset { GcsUri = "gs://cloud-samples-data/ai-platform/generative_ai/gemini-2_0/text/sft_train_data.jsonl" }; @@ -1345,7 +1380,7 @@ using Google.GenAI.Types; public class CreateTuningJobWithConfig { public static async Task main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: true); + var client = new Client(enterprise: true); var trainingDataset = new TuningDataset { GcsUri = "gs://cloud-samples-data/ai-platform/generative_ai/gemini-2_0/text/sft_train_data.jsonl" }; @@ -1380,7 +1415,7 @@ using Google.GenAI.Types; public class PreferenceTuningJob { public static async Task main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: true); + var client = new Client(enterprise: true); var trainingDataset = new TuningDataset { GcsUri = "gs://cloud-samples-data/ai-platform/generative_ai/gemini-1_5/text/sft_train_data.jsonl" }; @@ -1412,7 +1447,7 @@ using Google.GenAI.Types; public class ContinuousTuningJob { public static async Task main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: true); + var client = new Client(enterprise: true); var trainingDataset = new TuningDataset { GcsUri = "gs://cloud-samples-data/ai-platform/generative_ai/gemini-2_0/text/sft_train_data.jsonl" }; @@ -1427,25 +1462,6 @@ public class ContinuousTuningJob { } ``` -### Cancel Tuning Job - -```csharp -using System.Threading.Tasks; -using Google.GenAI; -using Google.GenAI.Types; - -public class CancelTuningJobExample { - public static async Task main() { - // assuming credentials are set up in environment variables as instructed above. - var client = new Client(); - - // The tuning job resource name to cancel, retrieved from a created tuning job. - var tuningJobResourceName = "tuningJobs/your-tuning-job"; - await client.Tunings.CancelAsync(tuningJobResourceName); - } -} -``` - #### Distillation You can perform distillation by setting `Method` to `TuningMethod.DISTILLATION` in `CreateTuningJobConfig`. @@ -1458,7 +1474,7 @@ using Google.GenAI.Types; public class DistillationJob { public static async Task main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: true); + var client = new Client(enterprise: true); // Prompt dataset var trainingDataset = new TuningDataset { @@ -1480,6 +1496,25 @@ public class DistillationJob { } ``` +### Cancel Tuning Job + +```csharp +using System.Threading.Tasks; +using Google.GenAI; +using Google.GenAI.Types; + +public class CancelTuningJobExample { + public static async Task main() { + // assuming credentials are set up in environment variables as instructed above. + var client = new Client(); + + // The tuning job resource name to cancel, retrieved from a created tuning job. + var tuningJobResourceName = "tuningJobs/your-tuning-job"; + await client.Tunings.CancelAsync(tuningJobResourceName); + } +} +``` + ### List Tuning Jobs ```csharp using System.Threading.Tasks; @@ -1514,7 +1549,7 @@ using Google.GenAI.Types; public class Files { public static async Task Main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: false); + var client = new Client(enterprise: false); // uploading from local file path var uploadResponse1 = await client.Files.UploadAsync(filtePath: "path/to/your/file.png"); @@ -1541,7 +1576,7 @@ using Google.GenAI.Types; public class Files { public static async Task Main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: false); + var client = new Client(enterprise: false); // usually, pattern is similar to this example "files/s0pa54alni6w" string fileName = "files/randomID"; @@ -1561,7 +1596,7 @@ using Google.GenAI.Types; public class Files { public static async Task Main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: false); + var client = new Client(enterprise: false); // usually, pattern is similar to this example "files/s0pa54alni6w" string fileName = "files/randomID"; @@ -1581,7 +1616,7 @@ using Google.GenAI.Types; public class Files { public static async Task Main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: false); + var client = new Client(enterprise: false); var pager = await client.Files.ListAsync(); await foreach(var page in pager) { diff --git a/Google.GenAI/Tunings.cs b/Google.GenAI/Tunings.cs index 93c09d9a..054a231b 100644 --- a/Google.GenAI/Tunings.cs +++ b/Google.GenAI/Tunings.cs @@ -405,7 +405,6 @@ internal JsonNode CreateTuningJobConfigToVertex(JsonNode fromObject, JsonObject Common.GetValueByPath(fromObject, new string[] { "learningRate" })); } } - if (Common.GetValueByPath(fromObject, new string[] { "labels" }) != null) { Common.SetValueByPath(parentObject, new string[] { "labels" }, Common.GetValueByPath(fromObject, new string[] { "labels" })); @@ -509,282 +508,6 @@ internal JsonNode CreateTuningJobParametersPrivateToVertex(JsonNode fromObject, return toObject; } - internal JsonNode EvaluationConfigFromVertex(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - return toObject; - } - - internal JsonNode EvaluationConfigToVertex(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - return toObject; - } - - internal JsonNode GenerationConfigFromVertex(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "modelConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "modelSelectionConfig" }, - Common.GetValueByPath(fromObject, new string[] { "modelConfig" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "responseJsonSchema" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "responseJsonSchema" }, - Common.GetValueByPath(fromObject, new string[] { "responseJsonSchema" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "audioTimestamp" }) != null) { - Common.SetValueByPath(toObject, new string[] { "audioTimestamp" }, - Common.GetValueByPath(fromObject, new string[] { "audioTimestamp" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "candidateCount" }) != null) { - Common.SetValueByPath(toObject, new string[] { "candidateCount" }, - Common.GetValueByPath(fromObject, new string[] { "candidateCount" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "enableAffectiveDialog" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "enableAffectiveDialog" }, - Common.GetValueByPath(fromObject, new string[] { "enableAffectiveDialog" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "frequencyPenalty" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "frequencyPenalty" }, - Common.GetValueByPath(fromObject, new string[] { "frequencyPenalty" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "logprobs" }) != null) { - Common.SetValueByPath(toObject, new string[] { "logprobs" }, - Common.GetValueByPath(fromObject, new string[] { "logprobs" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "maxOutputTokens" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "maxOutputTokens" }, - Common.GetValueByPath(fromObject, new string[] { "maxOutputTokens" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "mediaResolution" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "mediaResolution" }, - Common.GetValueByPath(fromObject, new string[] { "mediaResolution" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "presencePenalty" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "presencePenalty" }, - Common.GetValueByPath(fromObject, new string[] { "presencePenalty" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "responseLogprobs" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "responseLogprobs" }, - Common.GetValueByPath(fromObject, new string[] { "responseLogprobs" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "responseMimeType" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "responseMimeType" }, - Common.GetValueByPath(fromObject, new string[] { "responseMimeType" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "responseModalities" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "responseModalities" }, - Common.GetValueByPath(fromObject, new string[] { "responseModalities" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "responseSchema" }) != null) { - Common.SetValueByPath(toObject, new string[] { "responseSchema" }, - Common.GetValueByPath(fromObject, new string[] { "responseSchema" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "routingConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "routingConfig" }, - Common.GetValueByPath(fromObject, new string[] { "routingConfig" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "seed" }) != null) { - Common.SetValueByPath(toObject, new string[] { "seed" }, - Common.GetValueByPath(fromObject, new string[] { "seed" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "speechConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "speechConfig" }, - Common.GetValueByPath(fromObject, new string[] { "speechConfig" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "stopSequences" }) != null) { - Common.SetValueByPath(toObject, new string[] { "stopSequences" }, - Common.GetValueByPath(fromObject, new string[] { "stopSequences" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "temperature" }) != null) { - Common.SetValueByPath(toObject, new string[] { "temperature" }, - Common.GetValueByPath(fromObject, new string[] { "temperature" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "thinkingConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "thinkingConfig" }, - Common.GetValueByPath(fromObject, new string[] { "thinkingConfig" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "topK" }) != null) { - Common.SetValueByPath(toObject, new string[] { "topK" }, - Common.GetValueByPath(fromObject, new string[] { "topK" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "topP" }) != null) { - Common.SetValueByPath(toObject, new string[] { "topP" }, - Common.GetValueByPath(fromObject, new string[] { "topP" })); - } - - return toObject; - } - - internal JsonNode GenerationConfigToVertex(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "modelSelectionConfig" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "modelConfig" }, - Common.GetValueByPath(fromObject, new string[] { "modelSelectionConfig" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "responseJsonSchema" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "responseJsonSchema" }, - Common.GetValueByPath(fromObject, new string[] { "responseJsonSchema" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "audioTimestamp" }) != null) { - Common.SetValueByPath(toObject, new string[] { "audioTimestamp" }, - Common.GetValueByPath(fromObject, new string[] { "audioTimestamp" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "candidateCount" }) != null) { - Common.SetValueByPath(toObject, new string[] { "candidateCount" }, - Common.GetValueByPath(fromObject, new string[] { "candidateCount" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "enableAffectiveDialog" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "enableAffectiveDialog" }, - Common.GetValueByPath(fromObject, new string[] { "enableAffectiveDialog" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "frequencyPenalty" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "frequencyPenalty" }, - Common.GetValueByPath(fromObject, new string[] { "frequencyPenalty" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "logprobs" }) != null) { - Common.SetValueByPath(toObject, new string[] { "logprobs" }, - Common.GetValueByPath(fromObject, new string[] { "logprobs" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "maxOutputTokens" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "maxOutputTokens" }, - Common.GetValueByPath(fromObject, new string[] { "maxOutputTokens" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "mediaResolution" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "mediaResolution" }, - Common.GetValueByPath(fromObject, new string[] { "mediaResolution" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "presencePenalty" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "presencePenalty" }, - Common.GetValueByPath(fromObject, new string[] { "presencePenalty" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "responseLogprobs" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "responseLogprobs" }, - Common.GetValueByPath(fromObject, new string[] { "responseLogprobs" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "responseMimeType" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "responseMimeType" }, - Common.GetValueByPath(fromObject, new string[] { "responseMimeType" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "responseModalities" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "responseModalities" }, - Common.GetValueByPath(fromObject, new string[] { "responseModalities" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "responseSchema" }) != null) { - Common.SetValueByPath(toObject, new string[] { "responseSchema" }, - Common.GetValueByPath(fromObject, new string[] { "responseSchema" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "routingConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "routingConfig" }, - Common.GetValueByPath(fromObject, new string[] { "routingConfig" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "seed" }) != null) { - Common.SetValueByPath(toObject, new string[] { "seed" }, - Common.GetValueByPath(fromObject, new string[] { "seed" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "speechConfig" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "speechConfig" }, - SpeechConfigToVertex(Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "speechConfig" })), - toObject, rootObject)); - } - - if (Common.GetValueByPath(fromObject, new string[] { "stopSequences" }) != null) { - Common.SetValueByPath(toObject, new string[] { "stopSequences" }, - Common.GetValueByPath(fromObject, new string[] { "stopSequences" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "temperature" }) != null) { - Common.SetValueByPath(toObject, new string[] { "temperature" }, - Common.GetValueByPath(fromObject, new string[] { "temperature" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "thinkingConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "thinkingConfig" }, - Common.GetValueByPath(fromObject, new string[] { "thinkingConfig" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "topK" }) != null) { - Common.SetValueByPath(toObject, new string[] { "topK" }, - Common.GetValueByPath(fromObject, new string[] { "topK" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "topP" }) != null) { - Common.SetValueByPath(toObject, new string[] { "topP" }, - Common.GetValueByPath(fromObject, new string[] { "topP" })); - } - - if (!Common.IsZero( - Common.GetValueByPath(fromObject, new string[] { "enableEnhancedCivicAnswers" }))) { - throw new NotSupportedException( - "enableEnhancedCivicAnswers parameter is not supported in Vertex AI."); - } - - return toObject; - } - internal JsonNode GetTuningJobParametersToMldev(JsonNode fromObject, JsonObject parentObject, JsonNode rootObject) { JsonObject toObject = new JsonObject(); @@ -809,28 +532,6 @@ internal JsonNode GetTuningJobParametersToVertex(JsonNode fromObject, JsonObject return toObject; } - internal JsonNode ListTuningJobsConfigToMldev(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "pageSize" }) != null) { - Common.SetValueByPath(parentObject, new string[] { "_query", "pageSize" }, - Common.GetValueByPath(fromObject, new string[] { "pageSize" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "pageToken" }) != null) { - Common.SetValueByPath(parentObject, new string[] { "_query", "pageToken" }, - Common.GetValueByPath(fromObject, new string[] { "pageToken" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "filter" }) != null) { - Common.SetValueByPath(parentObject, new string[] { "_query", "filter" }, - Common.GetValueByPath(fromObject, new string[] { "filter" })); - } - - return toObject; - } - internal JsonNode ListTuningJobsConfigToVertex(JsonNode fromObject, JsonObject parentObject, JsonNode rootObject) { JsonObject toObject = new JsonObject(); @@ -853,19 +554,6 @@ internal JsonNode ListTuningJobsConfigToVertex(JsonNode fromObject, JsonObject p return toObject; } - internal JsonNode ListTuningJobsParametersToMldev(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "config" }) != null) { - _ = ListTuningJobsConfigToMldev( - Common.ParseToJsonNode(Common.GetValueByPath(fromObject, new string[] { "config" })), - toObject, rootObject); - } - - return toObject; - } - internal JsonNode ListTuningJobsParametersToVertex(JsonNode fromObject, JsonObject parentObject, JsonNode rootObject) { JsonObject toObject = new JsonObject(); @@ -879,35 +567,6 @@ internal JsonNode ListTuningJobsParametersToVertex(JsonNode fromObject, JsonObje return toObject; } - internal JsonNode ListTuningJobsResponseFromMldev(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "sdkHttpResponse" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "sdkHttpResponse" }, - Common.GetValueByPath(fromObject, new string[] { "sdkHttpResponse" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "nextPageToken" }) != null) { - Common.SetValueByPath(toObject, new string[] { "nextPageToken" }, - Common.GetValueByPath(fromObject, new string[] { "nextPageToken" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "tunedModels" }) != null) { - JsonArray keyArray = - (JsonArray)Common.GetValueByPath(fromObject, new string[] { "tunedModels" }); - JsonArray result = new JsonArray(); - - foreach (var record in keyArray) { - result.Add(TuningJobFromMldev(Common.ParseToJsonNode(record), toObject, rootObject)); - } - Common.SetValueByPath(toObject, new string[] { "tuningJobs" }, result); - } - - return toObject; - } - internal JsonNode ListTuningJobsResponseFromVertex(JsonNode fromObject, JsonObject parentObject, JsonNode rootObject) { JsonObject toObject = new JsonObject(); @@ -937,89 +596,6 @@ internal JsonNode ListTuningJobsResponseFromVertex(JsonNode fromObject, JsonObje return toObject; } - internal JsonNode MultiSpeakerVoiceConfigToVertex(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "speakerVoiceConfigs" }) != null) { - JsonArray keyArray = - (JsonArray)Common.GetValueByPath(fromObject, new string[] { "speakerVoiceConfigs" }); - JsonArray result = new JsonArray(); - - foreach (var record in keyArray) { - result.Add( - SpeakerVoiceConfigToVertex(Common.ParseToJsonNode(record), toObject, rootObject)); - } - Common.SetValueByPath(toObject, new string[] { "speakerVoiceConfigs" }, result); - } - - return toObject; - } - - internal JsonNode ReplicatedVoiceConfigToVertex(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "mimeType" }) != null) { - Common.SetValueByPath(toObject, new string[] { "mimeType" }, - Common.GetValueByPath(fromObject, new string[] { "mimeType" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "voiceSampleAudio" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "voiceSampleAudio" }, - Common.GetValueByPath(fromObject, new string[] { "voiceSampleAudio" })); - } - - return toObject; - } - - internal JsonNode SpeakerVoiceConfigToVertex(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "speaker" }) != null) { - Common.SetValueByPath(toObject, new string[] { "speaker" }, - Common.GetValueByPath(fromObject, new string[] { "speaker" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "voiceConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "voiceConfig" }, - VoiceConfigToVertex(Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "voiceConfig" })), - toObject, rootObject)); - } - - return toObject; - } - - internal JsonNode SpeechConfigToVertex(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "voiceConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "voiceConfig" }, - VoiceConfigToVertex(Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "voiceConfig" })), - toObject, rootObject)); - } - - if (Common.GetValueByPath(fromObject, new string[] { "languageCode" }) != null) { - Common.SetValueByPath(toObject, new string[] { "languageCode" }, - Common.GetValueByPath(fromObject, new string[] { "languageCode" })); - } - - if (Common.GetValueByPath(fromObject, new string[] { "multiSpeakerVoiceConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "multiSpeakerVoiceConfig" }, - MultiSpeakerVoiceConfigToVertex( - Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "multiSpeakerVoiceConfig" })), - toObject, rootObject)); - } - - return toObject; - } - internal JsonNode TunedModelFromMldev(JsonNode fromObject, JsonObject parentObject, JsonNode rootObject) { JsonObject toObject = new JsonObject(); @@ -1114,7 +690,8 @@ internal JsonNode TuningDatasetToVertex(JsonNode fromObject, JsonObject parentOb } } if (!Common.IsZero(Common.GetValueByPath(fromObject, new string[] { "examples" }))) { - throw new NotSupportedException("examples parameter is not supported in Vertex AI."); + throw new NotSupportedException( + "examples parameter is not supported in Gemini Enterprise Agent Platform (previously known as Vertex AI)."); } return toObject; @@ -1411,27 +988,6 @@ internal JsonNode TuningValidationDatasetToVertex(JsonNode fromObject, JsonObjec return toObject; } - internal JsonNode VoiceConfigToVertex(JsonNode fromObject, JsonObject parentObject, - JsonNode rootObject) { - JsonObject toObject = new JsonObject(); - - if (Common.GetValueByPath(fromObject, new string[] { "replicatedVoiceConfig" }) != null) { - Common.SetValueByPath(toObject, new string[] { "replicatedVoiceConfig" }, - ReplicatedVoiceConfigToVertex( - Common.ParseToJsonNode(Common.GetValueByPath( - fromObject, new string[] { "replicatedVoiceConfig" })), - toObject, rootObject)); - } - - if (Common.GetValueByPath(fromObject, new string[] { "prebuiltVoiceConfig" }) != null) { - Common.SetValueByPath( - toObject, new string[] { "prebuiltVoiceConfig" }, - Common.GetValueByPath(fromObject, new string[] { "prebuiltVoiceConfig" })); - } - - return toObject; - } - public Tunings(ApiClient apiClient) { _apiClient = apiClient; } @@ -1517,8 +1073,8 @@ private async Task PrivateListAsync( body = ListTuningJobsParametersToVertex(parameterNode, new JsonObject(), parameterNode); path = Common.FormatMap("tuningJobs", body["_url"]); } else { - body = ListTuningJobsParametersToMldev(parameterNode, new JsonObject(), parameterNode); - path = Common.FormatMap("tunedModels", body["_url"]); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } JsonObject? bodyObj = body?.AsObject(); bodyObj?.Remove("_url"); @@ -1551,8 +1107,8 @@ await this._apiClient.RequestAsync(HttpMethod.Get, path, JsonSerializer.Serializ } if (!this._apiClient.VertexAI) { - responseNode = - ListTuningJobsResponseFromMldev(httpContentNode, new JsonObject(), parameterNode); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } return responseNode.Deserialize() ?? @@ -1563,8 +1119,8 @@ await this._apiClient.RequestAsync(HttpMethod.Get, path, JsonSerializer.Serializ /// /// Cancels a tuning job resource. /// - /// The resource name of the tuning job. For Vertex, this is the full - /// resource name or `tuningJobs/{id}`. A The resource name of the tuning job. For Gemini Enterprise Agent Platform + /// , this is the full resource name or `tuningJobs/{id}`. A for configuring the cancel request. A to cancel the operation. @@ -1666,7 +1222,8 @@ private async Task PrivateTuneAsync(string? baseModel, PreTunedModel? parameterNode); path = Common.FormatMap("tuningJobs", body["_url"]); } else { - throw new NotSupportedException("This method is only supported in the Vertex AI client."); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } JsonObject? bodyObj = body?.AsObject(); bodyObj?.Remove("_url"); @@ -1698,7 +1255,8 @@ await this._apiClient.RequestAsync(HttpMethod.Post, path, JsonSerializer.Seriali } if (!this._apiClient.VertexAI) { - throw new NotSupportedException("This method is only supported in the Vertex AI client."); + throw new NotSupportedException( + "This method is only supported in the Gemini Enterprise Agent Platform (previously known as Vertex AI) client."); } return responseNode.Deserialize() ?? diff --git a/Google.GenAI/types/AvatarConfig.cs b/Google.GenAI/types/AvatarConfig.cs new file mode 100644 index 00000000..c7805528 --- /dev/null +++ b/Google.GenAI/types/AvatarConfig.cs @@ -0,0 +1,83 @@ +/* + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +// Auto-generated code. Do not edit. + +using System; +using System.Text.Json; +using System.Text.Json.Serialization; +using Google.GenAI.Serialization; + +namespace Google.GenAI.Types { + /// + /// Configures the avatar to be used in the session. + /// + + public record AvatarConfig { + /// + /// Pre-built avatar id. + /// + [JsonPropertyName("avatarName")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public string ? AvatarName { get; set; } + + /// + /// Customized avatar appearance with a reference image. + /// + [JsonPropertyName("customizedAvatar")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public CustomizedAvatar + ? CustomizedAvatar { + get; set; + } + + /// + /// The bitrate of compressed audio. + /// + [JsonPropertyName("audioBitrateBps")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public int + ? AudioBitrateBps { + get; set; + } + + /// + /// The bitrate of compressed video output. + /// + [JsonPropertyName("videoBitrateBps")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public int + ? VideoBitrateBps { + get; set; + } + + /// + /// Deserializes a JSON string to a AvatarConfig object. + /// + /// The JSON string to deserialize. + /// Optional JsonSerializerOptions. + /// The deserialized AvatarConfig object, or null if deserialization fails. + public static AvatarConfig + ? FromJson(string jsonString, JsonSerializerOptions? options = null) { + try { + return JsonSerializer.Deserialize(jsonString, options); + } catch (JsonException e) { + Console.Error.WriteLine($"Error deserializing JSON: {e.ToString()}"); + return null; + } + } + } +} diff --git a/Google.GenAI/types/BatchJob.cs b/Google.GenAI/types/BatchJob.cs index 3c3a8ca3..4e7f36a1 100644 --- a/Google.GenAI/types/BatchJob.cs +++ b/Google.GenAI/types/BatchJob.cs @@ -85,7 +85,8 @@ public DateTime } /// - /// The time when the BatchJob was completed. This field is for Vertex AI only. + /// The time when the BatchJob was completed. This field is for Gemini Enterprise Agent Platform + /// only. /// [JsonPropertyName("endTime")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] @@ -115,7 +116,7 @@ public string } /// - /// Configuration for the input data. This field is for Vertex AI only. + /// Configuration for the input data. This field is for Gemini Enterprise Agent Platform only. /// [JsonPropertyName("src")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] @@ -135,7 +136,8 @@ public BatchJobDestination } /// - /// Statistics on completed and failed prediction instances. This field is for Vertex AI only. + /// Statistics on completed and failed prediction instances. This field is for Gemini Enterprise + /// Agent Platform only. /// [JsonPropertyName("completionStats")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] diff --git a/Google.GenAI/types/BatchJobDestination.cs b/Google.GenAI/types/BatchJobDestination.cs index 80a4f25b..364ad7d3 100644 --- a/Google.GenAI/types/BatchJobDestination.cs +++ b/Google.GenAI/types/BatchJobDestination.cs @@ -28,7 +28,7 @@ namespace Google.GenAI.Types { public record BatchJobDestination { /// - /// Storage format of the output files. Must be one of: 'jsonl', 'bigquery'. + /// Storage format of the output files. Must be one of: 'jsonl', 'bigquery', 'vertex-dataset'. /// [JsonPropertyName("format")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] @@ -89,6 +89,17 @@ public List get; set; } + /// + /// This field is experimental and may change in future versions. The Vertex AI dataset + /// destination. + /// + [JsonPropertyName("vertexDataset")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public VertexMultimodalDatasetDestination + ? VertexDataset { + get; set; + } + /// /// Deserializes a JSON string to a BatchJobDestination object. /// diff --git a/Google.GenAI/types/BatchJobSource.cs b/Google.GenAI/types/BatchJobSource.cs index 90ad8030..6d0caf3d 100644 --- a/Google.GenAI/types/BatchJobSource.cs +++ b/Google.GenAI/types/BatchJobSource.cs @@ -28,7 +28,7 @@ namespace Google.GenAI.Types { public record BatchJobSource { /// - /// Storage format of the input files. Must be one of: 'jsonl', 'bigquery'. + /// Storage format of the input files. Must be one of: 'jsonl', 'bigquery', 'vertex-dataset'. /// [JsonPropertyName("format")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] @@ -74,6 +74,17 @@ public List get; set; } + /// + /// This field is experimental and may change in future versions. The Vertex AI dataset resource + /// name to use as input. Must be of type multimodal. + /// + [JsonPropertyName("vertexDatasetName")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public string + ? VertexDatasetName { + get; set; + } + /// /// Deserializes a JSON string to a BatchJobSource object. /// diff --git a/Google.GenAI/types/ClientOptions.cs b/Google.GenAI/types/ClientOptions.cs new file mode 100644 index 00000000..c914c2dc --- /dev/null +++ b/Google.GenAI/types/ClientOptions.cs @@ -0,0 +1,55 @@ +/* + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +// Auto-generated code. Do not edit. + +using System; +using System.Text.Json; +using System.Text.Json.Serialization; +using Google.GenAI.Serialization; + +using System.Net.Http; + +namespace Google.GenAI.Types { + /// + /// Client options to be used in the client instantiation. + /// + + public record ClientOptions { + /// + /// The factory to use for creating the custom HttpClient. + /// + [JsonPropertyName("httpClientFactory")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public Func ? HttpClientFactory { get; set; } + + /// + /// Deserializes a JSON string to a ClientOptions object. + /// + /// The JSON string to deserialize. + /// Optional JsonSerializerOptions. + /// The deserialized ClientOptions object, or null if deserialization fails. + public static ClientOptions + ? FromJson(string jsonString, JsonSerializerOptions? options = null) { + try { + return JsonSerializer.Deserialize(jsonString, options); + } catch (JsonException e) { + Console.Error.WriteLine($"Error deserializing JSON: {e.ToString()}"); + return null; + } + } + } +} diff --git a/Google.GenAI/types/ContentEmbedding.cs b/Google.GenAI/types/ContentEmbedding.cs index 27030169..a967e79e 100644 --- a/Google.GenAI/types/ContentEmbedding.cs +++ b/Google.GenAI/types/ContentEmbedding.cs @@ -35,7 +35,8 @@ public record ContentEmbedding { public List ? Values { get; set; } /// - /// Vertex API only. Statistics of the input text associated with this embedding. + /// Gemini Enterprise Agent Platform only. Statistics of the input text associated with this + /// embedding. /// [JsonPropertyName("statistics")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] diff --git a/Google.GenAI/types/ContentEmbeddingStatistics.cs b/Google.GenAI/types/ContentEmbeddingStatistics.cs index 902824c9..ae317be8 100644 --- a/Google.GenAI/types/ContentEmbeddingStatistics.cs +++ b/Google.GenAI/types/ContentEmbeddingStatistics.cs @@ -28,15 +28,15 @@ namespace Google.GenAI.Types { public record ContentEmbeddingStatistics { /// - /// Vertex API only. If the input text was truncated due to having a length longer than the - /// allowed maximum input. + /// Gemini Enterprise Agent Platform only. If the input text was truncated due to having a + /// length longer than the allowed maximum input. /// [JsonPropertyName("truncated")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] public bool ? Truncated { get; set; } /// - /// Vertex API only. Number of tokens of the input text. + /// Gemini Enterprise Agent Platform only. Number of tokens of the input text. /// [JsonPropertyName("tokenCount")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] diff --git a/Google.GenAI/types/CreateBatchJobConfig.cs b/Google.GenAI/types/CreateBatchJobConfig.cs index f2b47954..df049090 100644 --- a/Google.GenAI/types/CreateBatchJobConfig.cs +++ b/Google.GenAI/types/CreateBatchJobConfig.cs @@ -55,6 +55,16 @@ public BatchJobDestination get; set; } + /// + /// Webhook configuration for receiving notifications when the batch operation completes. + /// + [JsonPropertyName("webhookConfig")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public WebhookConfig + ? WebhookConfig { + get; set; + } + /// /// Deserializes a JSON string to a CreateBatchJobConfig object. /// diff --git a/Google.GenAI/types/CreateTuningJobConfig.cs b/Google.GenAI/types/CreateTuningJobConfig.cs index c69cd16c..da2896e0 100644 --- a/Google.GenAI/types/CreateTuningJobConfig.cs +++ b/Google.GenAI/types/CreateTuningJobConfig.cs @@ -139,7 +139,8 @@ public TuningMode } /// - /// Custom base model for tuning. This is only supported for OSS models in Vertex. + /// Custom base model for tuning. This is only supported for OSS models in Gemini Enterprise + /// Agent Platform. /// [JsonPropertyName("customBaseModel")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] @@ -149,7 +150,8 @@ public string } /// - /// The batch size hyperparameter for tuning. This is only supported for OSS models in Vertex. + /// The batch size hyperparameter for tuning. This is only supported for OSS models in Gemini + /// Enterprise Agent Platform. /// [JsonPropertyName("batchSize")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] diff --git a/Google.GenAI/types/CustomizedAvatar.cs b/Google.GenAI/types/CustomizedAvatar.cs new file mode 100644 index 00000000..ea3c612f --- /dev/null +++ b/Google.GenAI/types/CustomizedAvatar.cs @@ -0,0 +1,65 @@ +/* + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +// Auto-generated code. Do not edit. + +using System; +using System.Text.Json; +using System.Text.Json.Serialization; +using Google.GenAI.Serialization; + +namespace Google.GenAI.Types { + /// + /// Configures the customized avatar to be used in the session. + /// + + public record CustomizedAvatar { + /// + /// The mime type of the reference image, e.g., "image/jpeg". + /// + [JsonPropertyName("imageMimeType")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public string ? ImageMimeType { get; set; } + + /// + /// The data of the reference image. The dimensions of the reference image should be 9:16 + /// (portrait) with a minimum resolution of 704x1280. + /// + [JsonPropertyName("imageData")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public byte[] + ? ImageData { + get; set; + } + + /// + /// Deserializes a JSON string to a CustomizedAvatar object. + /// + /// The JSON string to deserialize. + /// Optional JsonSerializerOptions. + /// The deserialized CustomizedAvatar object, or null if deserialization + /// fails. + public static CustomizedAvatar + ? FromJson(string jsonString, JsonSerializerOptions? options = null) { + try { + return JsonSerializer.Deserialize(jsonString, options); + } catch (JsonException e) { + Console.Error.WriteLine($"Error deserializing JSON: {e.ToString()}"); + return null; + } + } + } +} diff --git a/Google.GenAI/types/DistillationHyperParameters.cs b/Google.GenAI/types/DistillationHyperParameters.cs index bd4f8df6..a5a507a9 100644 --- a/Google.GenAI/types/DistillationHyperParameters.cs +++ b/Google.GenAI/types/DistillationHyperParameters.cs @@ -57,7 +57,8 @@ public double } /// - /// The batch size hyperparameter for tuning. This is only supported for OSS models in Vertex. + /// The batch size hyperparameter for tuning. This is only supported for OSS models in Gemini + /// Enterprise Agent Platform. /// [JsonPropertyName("batchSize")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] diff --git a/Google.GenAI/types/EmbedContentConfig.cs b/Google.GenAI/types/EmbedContentConfig.cs index 083d86e4..8ff53547 100644 --- a/Google.GenAI/types/EmbedContentConfig.cs +++ b/Google.GenAI/types/EmbedContentConfig.cs @@ -67,7 +67,7 @@ public int } /// - /// Vertex API only. The MIME type of the input. + /// Gemini Enterprise Agent Platform only. The MIME type of the input. /// [JsonPropertyName("mimeType")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] @@ -77,9 +77,9 @@ public string } /// - /// Vertex API only. Whether to silently truncate inputs longer than the max sequence length. If - /// this option is set to false, oversized inputs will lead to an INVALID_ARGUMENT error, - /// similar to other text APIs. + /// Gemini Enterprise Agent Platform only. Whether to silently truncate inputs longer than the + /// max sequence length. If this option is set to false, oversized inputs will lead to an + /// INVALID_ARGUMENT error, similar to other text APIs. /// [JsonPropertyName("autoTruncate")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] @@ -88,6 +88,28 @@ public bool get; set; } + /// + /// Gemini Enterprise Agent Platform only. Whether to enable OCR for document content. Only + /// applicable to Gemini Embedding 2 models. + /// + [JsonPropertyName("documentOcr")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public bool + ? DocumentOcr { + get; set; + } + + /// + /// Gemini Enterprise Agent Platform only. Whether to extract audio from video content. Only + /// applicable to Gemini Embedding 2 models. + /// + [JsonPropertyName("audioTrackExtraction")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public bool + ? AudioTrackExtraction { + get; set; + } + /// /// Deserializes a JSON string to a EmbedContentConfig object. /// diff --git a/Google.GenAI/types/EmbedContentMetadata.cs b/Google.GenAI/types/EmbedContentMetadata.cs index dcca53ae..207f2993 100644 --- a/Google.GenAI/types/EmbedContentMetadata.cs +++ b/Google.GenAI/types/EmbedContentMetadata.cs @@ -23,12 +23,13 @@ namespace Google.GenAI.Types { /// - /// Request-level metadata for the Vertex Embed Content API. + /// Request-level metadata for the Gemini Enterprise Agent Platform Embed Content API. /// public record EmbedContentMetadata { /// - /// Vertex API only. The total number of billable characters included in the request. + /// Gemini Enterprise Agent Platform only. The total number of billable characters included in + /// the request. /// [JsonPropertyName("billableCharacterCount")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] diff --git a/Google.GenAI/types/EmbedContentParametersPrivate.cs b/Google.GenAI/types/EmbedContentParametersPrivate.cs index 8ad4e39b..96488673 100644 --- a/Google.GenAI/types/EmbedContentParametersPrivate.cs +++ b/Google.GenAI/types/EmbedContentParametersPrivate.cs @@ -56,7 +56,7 @@ public Content } /// - /// The Vertex embedding API to use. + /// The Gemini Enterprise Agent Platform embedding API to use. /// [JsonPropertyName("embeddingApiType")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] diff --git a/Google.GenAI/types/EmbedContentResponse.cs b/Google.GenAI/types/EmbedContentResponse.cs index 02c6ede1..4afc76ca 100644 --- a/Google.GenAI/types/EmbedContentResponse.cs +++ b/Google.GenAI/types/EmbedContentResponse.cs @@ -45,7 +45,7 @@ public List } /// - /// Vertex API only. Metadata about the request. + /// Gemini Enterprise Agent Platform only. Metadata about the request. /// [JsonPropertyName("metadata")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] diff --git a/Google.GenAI/types/EmbeddingApiType.cs b/Google.GenAI/types/EmbeddingApiType.cs index a54621a9..9ce17d2d 100644 --- a/Google.GenAI/types/EmbeddingApiType.cs +++ b/Google.GenAI/types/EmbeddingApiType.cs @@ -22,7 +22,7 @@ namespace Google.GenAI.Types { /// - /// Enum representing the Vertex embedding API to use. + /// Enum representing the Gemini Enterprise Agent Platform embedding API to use. /// [JsonConverter(typeof(EmbeddingApiTypeConverter))] diff --git a/Google.GenAI/types/GenerateContentConfig.cs b/Google.GenAI/types/GenerateContentConfig.cs index 156505bd..129dfcd0 100644 --- a/Google.GenAI/types/GenerateContentConfig.cs +++ b/Google.GenAI/types/GenerateContentConfig.cs @@ -352,7 +352,7 @@ public ImageConfig /// /// Enables enhanced civic answers. It may not be available for all models. This field is not - /// supported in Vertex AI. + /// supported in Gemini Enterprise Agent Platform. /// [JsonPropertyName("enableEnhancedCivicAnswers")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] diff --git a/Google.GenAI/types/GenerateVideosConfig.cs b/Google.GenAI/types/GenerateVideosConfig.cs index 9039d54b..5db63d2f 100644 --- a/Google.GenAI/types/GenerateVideosConfig.cs +++ b/Google.GenAI/types/GenerateVideosConfig.cs @@ -212,6 +212,17 @@ public Dictionary get; set; } + /// + /// Webhook configuration for receiving notifications when the video generation operation + /// completes. + /// + [JsonPropertyName("webhookConfig")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public WebhookConfig + ? WebhookConfig { + get; set; + } + /// /// Deserializes a JSON string to a GenerateVideosConfig object. /// diff --git a/Google.GenAI/types/LiveClientSetup.cs b/Google.GenAI/types/LiveClientSetup.cs index 3d603fb2..cc460569 100644 --- a/Google.GenAI/types/LiveClientSetup.cs +++ b/Google.GenAI/types/LiveClientSetup.cs @@ -142,6 +142,26 @@ public bool get; set; } + /// + /// Configures the avatar model behavior. + /// + [JsonPropertyName("avatarConfig")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public AvatarConfig + ? AvatarConfig { + get; set; + } + + /// + /// Safety settings in the request to block unsafe content in the response. + /// + [JsonPropertyName("safetySettings")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public List + ? SafetySettings { + get; set; + } + /// /// Deserializes a JSON string to a LiveClientSetup object. /// diff --git a/Google.GenAI/types/LiveConnectConfig.cs b/Google.GenAI/types/LiveConnectConfig.cs index e2921ffd..eb0e5459 100644 --- a/Google.GenAI/types/LiveConnectConfig.cs +++ b/Google.GenAI/types/LiveConnectConfig.cs @@ -252,6 +252,26 @@ public bool get; set; } + /// + /// Configures the avatar model behavior. + /// + [JsonPropertyName("avatarConfig")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public AvatarConfig + ? AvatarConfig { + get; set; + } + + /// + /// Safety settings in the request to block unsafe content in the response. + /// + [JsonPropertyName("safetySettings")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public List + ? SafetySettings { + get; set; + } + /// /// Deserializes a JSON string to a LiveConnectConfig object. /// diff --git a/Google.GenAI/types/Modality.cs b/Google.GenAI/types/Modality.cs index 81765f40..ec57e938 100644 --- a/Google.GenAI/types/Modality.cs +++ b/Google.GenAI/types/Modality.cs @@ -53,9 +53,14 @@ private Modality(string value) { /// public static Modality Audio { get; } = new("AUDIO"); + /// + /// Indicates the model should return video. + /// + public static Modality Video { get; } = new("VIDEO"); + public static IReadOnlyList AllValues { get; - } = new[] { ModalityUnspecified, Text, Image, Audio }; + } = new[] { ModalityUnspecified, Text, Image, Audio, Video }; public static Modality FromString(string value) { if (string.IsNullOrEmpty(value)) { diff --git a/Google.GenAI/types/TuningDataset.cs b/Google.GenAI/types/TuningDataset.cs index acaf01f6..1320a8a0 100644 --- a/Google.GenAI/types/TuningDataset.cs +++ b/Google.GenAI/types/TuningDataset.cs @@ -35,8 +35,9 @@ public record TuningDataset { public string ? GcsUri { get; set; } /// - /// The resource name of the Vertex Multimodal Dataset that is used as training dataset. - /// Example: 'projects/my-project-id-or-number/locations/my-location/datasets/my-dataset-id'. + /// The resource name of the Gemini Enterprise Agent Platform (previously known as Vertex AI) + /// Multimodal Dataset that is used as training dataset. Example: + /// 'projects/my-project-id-or-number/locations/my-location/datasets/my-dataset-id'. /// [JsonPropertyName("vertexDatasetResource")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] diff --git a/Google.GenAI/types/TuningValidationDataset.cs b/Google.GenAI/types/TuningValidationDataset.cs index 5d98430b..1d986a2a 100644 --- a/Google.GenAI/types/TuningValidationDataset.cs +++ b/Google.GenAI/types/TuningValidationDataset.cs @@ -32,8 +32,9 @@ public record TuningValidationDataset { public string ? GcsUri { get; set; } /// - /// The resource name of the Vertex Multimodal Dataset that is used as validation dataset. - /// Example: 'projects/my-project-id-or-number/locations/my-location/datasets/my-dataset-id'. + /// The resource name of the Gemini Enterprise Agent Platform (previously known as Vertex AI) + /// Multimodal Dataset that is used as validation dataset. Example: + /// 'projects/my-project-id-or-number/locations/my-location/datasets/my-dataset-id'. /// [JsonPropertyName("vertexDatasetResource")] [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] diff --git a/Google.GenAI/types/TurnCompleteReason.cs b/Google.GenAI/types/TurnCompleteReason.cs index b5379ec6..5c5dc4b0 100644 --- a/Google.GenAI/types/TurnCompleteReason.cs +++ b/Google.GenAI/types/TurnCompleteReason.cs @@ -57,10 +57,186 @@ public static TurnCompleteReason MalformedFunctionCall { /// public static TurnCompleteReason NeedMoreInput { get; } = new("NEED_MORE_INPUT"); + /// + /// Input content is prohibited. + /// + public static TurnCompleteReason ProhibitedInputContent { + get; + } = new("PROHIBITED_INPUT_CONTENT"); + + /// + /// Input image contains prohibited content. + /// + public static TurnCompleteReason ImageProhibitedInputContent { + get; + } = new("IMAGE_PROHIBITED_INPUT_CONTENT"); + + /// + /// Input text contains prominent person reference. + /// + public static TurnCompleteReason InputTextContainProminentPersonProhibited { + get; + } = new("INPUT_TEXT_CONTAIN_PROMINENT_PERSON_PROHIBITED"); + + /// + /// Input image contains celebrity. + /// + public static TurnCompleteReason InputImageCelebrity { get; } = new("INPUT_IMAGE_CELEBRITY"); + + /// + /// Input image contains photo realistic child. + /// + public static TurnCompleteReason InputImagePhotoRealisticChildProhibited { + get; + } = new("INPUT_IMAGE_PHOTO_REALISTIC_CHILD_PROHIBITED"); + + /// + /// Input text contains NCII content. + /// + public static TurnCompleteReason InputTextNciiProhibited { + get; + } = new("INPUT_TEXT_NCII_PROHIBITED"); + + /// + /// Other input safety issue. + /// + public static TurnCompleteReason InputOther { get; } = new("INPUT_OTHER"); + + /// + /// Input contains IP violation. + /// + public static TurnCompleteReason InputIpProhibited { get; } = new("INPUT_IP_PROHIBITED"); + + /// + /// Input matched blocklist. + /// + public static TurnCompleteReason Blocklist { get; } = new("BLOCKLIST"); + + /// + /// Input is unsafe for image generation. + /// + public static TurnCompleteReason UnsafePromptForImageGeneration { + get; + } = new("UNSAFE_PROMPT_FOR_IMAGE_GENERATION"); + + /// + /// Generated image failed safety check. + /// + public static TurnCompleteReason GeneratedImageSafety { get; } = new("GENERATED_IMAGE_SAFETY"); + + /// + /// Generated content failed safety check. + /// + public static TurnCompleteReason GeneratedContentSafety { + get; + } = new("GENERATED_CONTENT_SAFETY"); + + /// + /// Generated audio failed safety check. + /// + public static TurnCompleteReason GeneratedAudioSafety { get; } = new("GENERATED_AUDIO_SAFETY"); + + /// + /// Generated video failed safety check. + /// + public static TurnCompleteReason GeneratedVideoSafety { get; } = new("GENERATED_VIDEO_SAFETY"); + + /// + /// Generated content is prohibited. + /// + public static TurnCompleteReason GeneratedContentProhibited { + get; + } = new("GENERATED_CONTENT_PROHIBITED"); + + /// + /// Generated content matched blocklist. + /// + public static TurnCompleteReason GeneratedContentBlocklist { + get; + } = new("GENERATED_CONTENT_BLOCKLIST"); + + /// + /// Generated image is prohibited. + /// + public static TurnCompleteReason GeneratedImageProhibited { + get; + } = new("GENERATED_IMAGE_PROHIBITED"); + + /// + /// Generated image contains celebrity. + /// + public static TurnCompleteReason GeneratedImageCelebrity { + get; + } = new("GENERATED_IMAGE_CELEBRITY"); + + /// + /// Generated image contains prominent people detected by rewriter. + /// + public static TurnCompleteReason GeneratedImageProminentPeopleDetectedByRewriter { + get; + } = new("GENERATED_IMAGE_PROMINENT_PEOPLE_DETECTED_BY_REWRITER"); + + /// + /// Generated image contains identifiable people. + /// + public static TurnCompleteReason GeneratedImageIdentifiablePeople { + get; + } = new("GENERATED_IMAGE_IDENTIFIABLE_PEOPLE"); + + /// + /// Generated image contains minors. + /// + public static TurnCompleteReason GeneratedImageMinors { get; } = new("GENERATED_IMAGE_MINORS"); + + /// + /// Generated image contains IP violation. + /// + public static TurnCompleteReason OutputImageIpProhibited { + get; + } = new("OUTPUT_IMAGE_IP_PROHIBITED"); + + /// + /// Other generated content issue. + /// + public static TurnCompleteReason GeneratedOther { get; } = new("GENERATED_OTHER"); + + /// + /// Max regeneration attempts reached. + /// + public static TurnCompleteReason MaxRegenerationReached { + get; + } = new("MAX_REGENERATION_REACHED"); + public static IReadOnlyList AllValues { get; - } = new[] { TurnCompleteReasonUnspecified, MalformedFunctionCall, ResponseRejected, - NeedMoreInput }; + } = new[] { TurnCompleteReasonUnspecified, + MalformedFunctionCall, + ResponseRejected, + NeedMoreInput, + ProhibitedInputContent, + ImageProhibitedInputContent, + InputTextContainProminentPersonProhibited, + InputImageCelebrity, + InputImagePhotoRealisticChildProhibited, + InputTextNciiProhibited, + InputOther, + InputIpProhibited, + Blocklist, + UnsafePromptForImageGeneration, + GeneratedImageSafety, + GeneratedContentSafety, + GeneratedAudioSafety, + GeneratedVideoSafety, + GeneratedContentProhibited, + GeneratedContentBlocklist, + GeneratedImageProhibited, + GeneratedImageCelebrity, + GeneratedImageProminentPeopleDetectedByRewriter, + GeneratedImageIdentifiablePeople, + GeneratedImageMinors, + OutputImageIpProhibited, + GeneratedOther, + MaxRegenerationReached }; public static TurnCompleteReason FromString(string value) { if (string.IsNullOrEmpty(value)) { diff --git a/Google.GenAI/types/VertexMultimodalDatasetDestination.cs b/Google.GenAI/types/VertexMultimodalDatasetDestination.cs new file mode 100644 index 00000000..f837cf81 --- /dev/null +++ b/Google.GenAI/types/VertexMultimodalDatasetDestination.cs @@ -0,0 +1,65 @@ +/* + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +// Auto-generated code. Do not edit. + +using System; +using System.Text.Json; +using System.Text.Json.Serialization; +using Google.GenAI.Serialization; + +namespace Google.GenAI.Types { + /// + /// This class is experimental and may change in future versions. The specification for an output + /// Vertex AI multimodal dataset. + /// + + public record VertexMultimodalDatasetDestination { + /// + /// The BigQuery destination for the multimodal dataset. + /// + [JsonPropertyName("bigqueryDestination")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public string ? BigqueryDestination { get; set; } + + /// + /// The display name of the multimodal dataset. + /// + [JsonPropertyName("displayName")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public string + ? DisplayName { + get; set; + } + + /// + /// Deserializes a JSON string to a VertexMultimodalDatasetDestination object. + /// + /// The JSON string to deserialize. + /// Optional JsonSerializerOptions. + /// The deserialized VertexMultimodalDatasetDestination object, or null if + /// deserialization fails. + public static VertexMultimodalDatasetDestination + ? FromJson(string jsonString, JsonSerializerOptions? options = null) { + try { + return JsonSerializer.Deserialize(jsonString, options); + } catch (JsonException e) { + Console.Error.WriteLine($"Error deserializing JSON: {e.ToString()}"); + return null; + } + } + } +} diff --git a/Google.GenAI/types/WebhookConfig.cs b/Google.GenAI/types/WebhookConfig.cs new file mode 100644 index 00000000..093413a9 --- /dev/null +++ b/Google.GenAI/types/WebhookConfig.cs @@ -0,0 +1,67 @@ +/* + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +// Auto-generated code. Do not edit. + +using System; +using System.Text.Json; +using System.Text.Json.Serialization; +using Google.GenAI.Serialization; + +namespace Google.GenAI.Types { + /// + /// Configuration for webhook notifications. Used to configure webhook endpoints that will + /// receive notifications when long-running operations (e.g., batch jobs, video generation) + /// complete. + /// + + public record WebhookConfig { + /// + /// The webhook URIs to receive notifications. If set, these webhook URIs will be used instead + /// of the registered webhooks. + /// + [JsonPropertyName("uris")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public List ? Uris { get; set; } + + /// + /// User metadata that will be included in each webhook event notification. Use this to attach + /// custom key-value data to correlate webhook events with your internal systems. + /// + [JsonPropertyName("userMetadata")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public Dictionary + ? UserMetadata { + get; set; + } + + /// + /// Deserializes a JSON string to a WebhookConfig object. + /// + /// The JSON string to deserialize. + /// Optional JsonSerializerOptions. + /// The deserialized WebhookConfig object, or null if deserialization fails. + public static WebhookConfig + ? FromJson(string jsonString, JsonSerializerOptions? options = null) { + try { + return JsonSerializer.Deserialize(jsonString, options); + } catch (JsonException e) { + Console.Error.WriteLine($"Error deserializing JSON: {e.ToString()}"); + return null; + } + } + } +} diff --git a/README.md b/README.md index 0a5f354b..318908f8 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ Google Gen AI .NET SDK provides an interface for developers to integrate Google's generative models into their .NET applications. It supports the [Gemini Developer API](https://ai.google.dev/gemini-api/docs) and -[Vertex AI](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/overview) +[Gemini Enterprise Agent Platform](https://docs.cloud.google.com/gemini-enterprise-agent-platform) APIs. ## Supported .NET version @@ -29,7 +29,7 @@ using Google.GenAI.Types; ## Create a client Please run one of the following code blocks to create a client for -different services ([Gemini Developer API](https://ai.google.dev/gemini-api/docs) or [Vertex AI](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/overview)). +different services ([Gemini Developer API](https://ai.google.dev/gemini-api/docs) or [Gemini Enterprise Agent Platform](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/overview)). ```csharp using Google.GenAI; @@ -41,9 +41,9 @@ var client = new Client(apiKey: apiKey); ```csharp using Google.GenAI; -// only run this block for Vertex AI API +// only run this block for Gemini Enterprise Agent Platform API client = new Client( - project: project, location: location, vertexAI: true + project: project, location: location, enterprise: true ) ``` @@ -51,7 +51,7 @@ client = new Client( You can create a client by configuring the necessary environment variables. Configuration setup instructions depends on whether you're using the Gemini -Developer API or the Gemini API in Vertex AI. +Developer API or the Gemini Enterprise Agent Platform. **Gemini Developer API:** Set the `GOOGLE_API_KEY`. It will automatically be picked up by the client. @@ -60,11 +60,11 @@ picked up by the client. export GEMINI_API_KEY='your-api-key' ``` -**Gemini API on Vertex AI:** Set `GOOGLE_GENAI_USE_VERTEXAI`, +**Gemini Enterprise Agent Platform:** Set `GOOGLE_GENAI_USE_ENTERPRISE`, `GOOGLE_CLOUD_PROJECT` and `GOOGLE_CLOUD_LOCATION`, as shown below: ```bash -export GOOGLE_GENAI_USE_VERTEXAI=true +export GOOGLE_GENAI_USE_ENTERPRISE=true export GOOGLE_CLOUD_PROJECT='your-project-id' export GOOGLE_CLOUD_LOCATION='us-central1' ``` @@ -122,7 +122,7 @@ available in GenerateContentAsync's config parameter. For example, to make a mod deterministic, lowering the `Temperature` parameter reduces randomness, with values near 0 minimizing variability. Capabilities and parameter defaults for each model is shown in the -[Vertex AI docs](https://cloud.google.com/vertex-ai/generative-ai/docs/models/gemini/2-5-flash) +[Gemini Enterprise Agent Platform docs](https://cloud.google.com/vertex-ai/generative-ai/docs/models/gemini/2-5-flash) and [Gemini API docs](https://ai.google.dev/gemini-api/docs/models) respectively. ```csharp @@ -338,7 +338,7 @@ public class GenerateImagesSimple { ### Upscale Image -Upscaling an image is only supported on the Vertex AI client. +Upscaling an image is only supported on the Gemini Enterprise Agent Platform client. ```csharp using System.Threading.Tasks; @@ -367,7 +367,7 @@ public class UpscaleImageSimple { Edit image uses a separate model from generate and upscale. -Edit image is only supported in the Vertex AI client. +Edit image is only supported in the Gemini Enterprise Agent Platform. ```csharp using Google.GenAI; @@ -418,7 +418,7 @@ public class EditImageSimple { ### Segment Image -Segment image is only supported in the Vertex AI client. +Segment image is only supported in the Gemini Enterprise Agent Platform client. ```csharp using Google.GenAI; @@ -450,7 +450,7 @@ public class SegmentImageSimple { ### Generate Videos Generated videos can be either be returned by the API as bytes or a GCS URI for -Vertex. For Gemini Developer API, only a Files URI can be returned. +Gemini Enterprise Agent Platform. For Gemini Developer API, only a Files URI can be returned. For Gemini, generated videos can be downloaded to a local file as follows: @@ -621,7 +621,7 @@ public class GenerateVideosReferenceImages{ #### Generate Videos (From Video) Gemini Developer API only accepts previously generated videos. -Vertex accepts a Video from GCS URI. +Gemini Enterprise Agent Platform accepts a Video from GCS URI. ```csharp using System.Threading.Tasks; @@ -676,7 +676,7 @@ public class GenerateVideosFromVideo { ``` ### Edit Video -Editing a video is only available on Vertex +Editing a video is only available on Gemini Enterprise Agent Platform. ```csharp using System.Threading.Tasks; @@ -707,13 +707,13 @@ public class EditVideoOutpaint { MaskMode = VideoGenerationMaskMode.OUTPAINT, }, }; - var operation = await vertexClient.Models.GenerateVideosAsync( + var operation = await client.Models.GenerateVideosAsync( model: "veo-2.0-generate-exp", source: source, config: config); while (operation.Done != true) { try { await Task.Delay(10000); - operation = await vertexClient.Operations.GetAsync(operation, null); + operation = await client.Operations.GetAsync(operation, null); } catch (TaskCanceledException) { System.Console.WriteLine("Task was cancelled while waiting."); break; @@ -786,8 +786,8 @@ public class EmbedContentExample { Console.WriteLine(response.Embeddings[0].Values); - // Multimodal embedding with Vertex AI - var vertexClient = new Client(vertexAI: true); + // Multimodal embedding with Gemini Enterprise Agent Platform + var client = new Client(enterprise: true); var contents = new List { new Content { Parts = new List { @@ -806,7 +806,7 @@ public class EmbedContentExample { Title = "test_title", TaskType = "RETRIEVAL_DOCUMENT", }; - var mmResponse = await vertexClient.Models.EmbedContentAsync( + var mmResponse = await client.Models.EmbedContentAsync( model: "gemini-embedding-2-exp-11-2025", contents: contents, config: config); Console.WriteLine(mmResponse.Embeddings); } @@ -914,9 +914,11 @@ The `client.Batches` module can be used to manage batch jobs. See `Create a client` section above to initialize a client. ### Create Batch Job -Batch jobs can be created from GCS URIs or BigQuery URIs when using Vertex AI, or from Files or Inlined Requests when using the Gemini API. +Batch jobs can be created from GCS URIs or BigQuery URIs when using Gemini +Enterprise Agent Platform, or from Files or Inlined Requests when using the +Gemini API. -#### With GCS URI (Vertex AI only) +#### With GCS URI (Gemini Enterprise Agent Platform only) ```csharp using System; using System.Collections.Generic; @@ -927,7 +929,7 @@ using Google.GenAI.Types; public class CreateBatchWithGcs { public static async Task main() { - // assuming credentials are set up for Vertex AI in environment variables as instructed above. + // assuming credentials are set up for Gemini Enterprise Agent Platform in environment variables as instructed above. var client = new Client(); var src = new BatchJobSource { @@ -944,12 +946,12 @@ public class CreateBatchWithGcs { } }; var response = await client.Batches.CreateAsync("gemini-2.5-flash", src, config); - Console.WriteLine($"Created Vertex AI batch job: {response.Name}"); + Console.WriteLine($"Created Gemini Enterprise Agent Platform batch job: {response.Name}"); } } ``` -#### With BigQuery URI (Vertex AI only) +#### With BigQuery URI (Gemini Enterprise Agent Platform only) ```csharp using System; using System.Collections.Generic; @@ -960,7 +962,7 @@ using Google.GenAI.Types; public class CreateBatchWithBigQuery { public static async Task main() { - // assuming credentials are set up for Vertex AI in environment variables as instructed above. + // assuming credentials are set up for Gemini Enterprise Agent Platfrom in environment variables as instructed above. var client = new Client(); var src = new BatchJobSource { @@ -977,7 +979,7 @@ public class CreateBatchWithBigQuery { } }; var response = await client.Batches.CreateAsync("gemini-2.5-flash", src, config); - Console.WriteLine($"Created Vertex AI batch job: {response.Name}"); + Console.WriteLine($"Created Gemini Enterprise Agent Platform batch job: {response.Name}"); } } ``` @@ -1210,7 +1212,8 @@ The `client.Caches` module can be used to manage cached content. See `Create a client` section above to initialize a client. ### Create Cache -Cacheable content can be created from Google Cloud Storage URIs when using Vertex AI, or from File URIs when using the Gemini API. +Cacheable content can be created from Google Cloud Storage URIs when using +Gemini Enterprise Agent Platform, or from File URIs when using the Gemini API. ```csharp using System.Threading.Tasks; @@ -1220,9 +1223,9 @@ using Google.GenAI.Types; public class CreateCache { public static async Task main() { - // Example for Vertex AI with GCS URIs: - var vertexClient = new Client(project: project, location: location, vertexAI: true); - var vertexConfig = new CreateCachedContentConfig { + // Example for Gemini Enterprise Agent Platform with GCS URIs: + var enterpriseClient = new Client(project: project, location: location, enterprise: true); + var agenterpriseConfig = new CreateCachedContentConfig { Contents = new List { new Content { Role = "user", @@ -1232,11 +1235,11 @@ public class CreateCache { } } }, - DisplayName = "my-vertex-cache", + DisplayName = "my-enterprise-cache", Ttl = "600s" }; - var vertexResponse = await vertexClient.Caches.CreateAsync(model: "gemini-2.5-flash", config: vertexConfig); - Console.WriteLine($"Created Vertex AI cache: {vertexResponse.Name}"); + var enterpriseResponse = await agenterpriseClient.Caches.CreateAsync(model: "gemini-2.5-flash", config: enterpriseConfig); + Console.WriteLine($"Created Gemini Enterprise Agent Platform cache: {enterpriseResponse.Name}"); // Example for Gemini API with File URIs: var geminiClient = new Client(apiKey: apiKey); @@ -1338,7 +1341,7 @@ public class ListCaches { The `client.Tunings` module exposes model tuning. See `Create a client` section above to initialize a client. -### Create Tuning Job (Vertex Only) +### Create Tuning Job (Gemini Enterprise Agent Platform only) #### With simple training data @@ -1350,7 +1353,7 @@ using Google.GenAI.Types; public class CreateTuningJobSimple { public static async Task main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: true); + var client = new Client(enterprise: true); var trainingDataset = new TuningDataset { GcsUri = "gs://cloud-samples-data/ai-platform/generative_ai/gemini-2_0/text/sft_train_data.jsonl" }; @@ -1377,7 +1380,7 @@ using Google.GenAI.Types; public class CreateTuningJobWithConfig { public static async Task main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: true); + var client = new Client(enterprise: true); var trainingDataset = new TuningDataset { GcsUri = "gs://cloud-samples-data/ai-platform/generative_ai/gemini-2_0/text/sft_train_data.jsonl" }; @@ -1412,7 +1415,7 @@ using Google.GenAI.Types; public class PreferenceTuningJob { public static async Task main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: true); + var client = new Client(enterprise: true); var trainingDataset = new TuningDataset { GcsUri = "gs://cloud-samples-data/ai-platform/generative_ai/gemini-1_5/text/sft_train_data.jsonl" }; @@ -1444,7 +1447,7 @@ using Google.GenAI.Types; public class ContinuousTuningJob { public static async Task main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: true); + var client = new Client(enterprise: true); var trainingDataset = new TuningDataset { GcsUri = "gs://cloud-samples-data/ai-platform/generative_ai/gemini-2_0/text/sft_train_data.jsonl" }; @@ -1471,7 +1474,7 @@ using Google.GenAI.Types; public class DistillationJob { public static async Task main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: true); + var client = new Client(enterprise: true); // Prompt dataset var trainingDataset = new TuningDataset { @@ -1546,7 +1549,7 @@ using Google.GenAI.Types; public class Files { public static async Task Main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: false); + var client = new Client(enterprise: false); // uploading from local file path var uploadResponse1 = await client.Files.UploadAsync(filtePath: "path/to/your/file.png"); @@ -1573,7 +1576,7 @@ using Google.GenAI.Types; public class Files { public static async Task Main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: false); + var client = new Client(enterprise: false); // usually, pattern is similar to this example "files/s0pa54alni6w" string fileName = "files/randomID"; @@ -1593,7 +1596,7 @@ using Google.GenAI.Types; public class Files { public static async Task Main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: false); + var client = new Client(enterprise: false); // usually, pattern is similar to this example "files/s0pa54alni6w" string fileName = "files/randomID"; @@ -1613,7 +1616,7 @@ using Google.GenAI.Types; public class Files { public static async Task Main() { // assuming credentials are set up in environment variables as instructed above. - var client = new Client(vertexAI: false); + var client = new Client(enterprise: false); var pager = await client.Files.ListAsync(); await foreach(var page in pager) { diff --git a/releases.txt b/releases.txt new file mode 100644 index 00000000..50496644 --- /dev/null +++ b/releases.txt @@ -0,0 +1,4 @@ +Use this file when you need to force a patch release with release-please. +Edit line 4 below with the version for the release. + +1.6.2 \ No newline at end of file