From 8d2fcc4693d90e9ae2dbd7a86b7f40cab073bb05 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Tue, 9 Jun 2026 20:05:03 +0000 Subject: [PATCH] feat: Updated OpenAPI spec --- ...Client.BatchesUpdateEmbedContentBatch.g.cs | 20 +- ...ent.BatchesUpdateGenerateContentBatch.g.cs | 28 +- ...ini.GeminiClient.CachedContentsCreate.g.cs | 40 +- ...mini.GeminiClient.CachedContentsPatch.g.cs | 40 +- ...GeminiClient.CorporaPermissionsCreate.g.cs | 16 +- ....GeminiClient.CorporaPermissionsPatch.g.cs | 16 +- ...i.GeminiClient.DynamicGenerateContent.g.cs | 38 +- ...niClient.DynamicStreamGenerateContent.g.cs | 38 +- ....DynamicStreamGenerateContentAsStream.g.cs | 38 +- ...i.GeminiClient.FileSearchStoresCreate.g.cs | 10 +- ...miniClient.FileSearchStoresImportFile.g.cs | 16 +- ...niClient.MediaUploadToFileSearchStore.g.cs | 20 +- ...ni.GeminiClient.ModelsGenerateContent.g.cs | 38 +- ...iniClient.ModelsStreamGenerateContent.g.cs | 38 +- ...t.ModelsStreamGenerateContentAsStream.g.cs | 38 +- ...Gemini.GeminiClient.TunedModelsCreate.g.cs | 38 +- ...miniClient.TunedModelsGenerateContent.g.cs | 38 +- ....Gemini.GeminiClient.TunedModelsPatch.g.cs | 38 +- ...niClient.TunedModelsPermissionsCreate.g.cs | 16 +- ...iniClient.TunedModelsPermissionsPatch.g.cs | 16 +- ...ient.TunedModelsStreamGenerateContent.g.cs | 38 +- ...edModelsStreamGenerateContentAsStream.g.cs | 38 +- ...Client.BatchesUpdateEmbedContentBatch.g.cs | 16 +- ...ent.BatchesUpdateGenerateContentBatch.g.cs | 22 +- ...ni.IGeminiClient.CachedContentsCreate.g.cs | 32 +- ...ini.IGeminiClient.CachedContentsPatch.g.cs | 32 +- ...GeminiClient.CorporaPermissionsCreate.g.cs | 12 +- ...IGeminiClient.CorporaPermissionsPatch.g.cs | 12 +- ....IGeminiClient.DynamicGenerateContent.g.cs | 30 +- ...niClient.DynamicStreamGenerateContent.g.cs | 30 +- ....DynamicStreamGenerateContentAsStream.g.cs | 30 +- ....IGeminiClient.FileSearchStoresCreate.g.cs | 8 +- ...miniClient.FileSearchStoresImportFile.g.cs | 12 +- ...niClient.MediaUploadToFileSearchStore.g.cs | 16 +- ...i.IGeminiClient.ModelsGenerateContent.g.cs | 30 +- ...iniClient.ModelsStreamGenerateContent.g.cs | 30 +- ...t.ModelsStreamGenerateContentAsStream.g.cs | 30 +- ...emini.IGeminiClient.TunedModelsCreate.g.cs | 30 +- ...miniClient.TunedModelsGenerateContent.g.cs | 30 +- ...Gemini.IGeminiClient.TunedModelsPatch.g.cs | 30 +- ...niClient.TunedModelsPermissionsCreate.g.cs | 12 +- ...iniClient.TunedModelsPermissionsPatch.g.cs | 12 +- ...ient.TunedModelsStreamGenerateContent.g.cs | 30 +- ...edModelsStreamGenerateContentAsStream.g.cs | 30 +- .../Google.Gemini.JsonSerializerContext.g.cs | 661 +- ...gle.Gemini.JsonSerializerContextTypes.g.cs | 584 +- ...gle.Gemini.Models.AudioResponseFormat.g.cs | 48 +- ...ini.Models.BatchEmbedContentsResponse.g.cs | 24 +- .../Generated/Google.Gemini.Models.Blob.g.cs | 24 +- .../Google.Gemini.Models.CachedContent.g.cs | 136 +- .../Google.Gemini.Models.Candidate.g.cs | 158 +- .../Google.Gemini.Models.CitationSource.g.cs | 22 +- ...gle.Gemini.Models.CodeExecutionResult.g.cs | 24 +- .../Google.Gemini.Models.Content.g.cs | 24 +- ...Google.Gemini.Models.ContentEmbedding.g.cs | 24 +- .../Google.Gemini.Models.Corpus.g.cs | 28 +- ...gle.Gemini.Models.CountTokensResponse.g.cs | 28 +- ...ini.Models.CustomLongRunningOperation.g.cs | 52 +- .../Google.Gemini.Models.CustomMetadata.g.cs | 36 +- .../Google.Gemini.Models.Document.g.cs | 88 +- ...oogle.Gemini.Models.EmbedContentBatch.g.cs | 100 +- ...Gemini.Models.EmbedContentBatchOutput.g.cs | 24 +- ...ogle.Gemini.Models.EmbedContentConfig.g.cs | 68 +- ...gle.Gemini.Models.EmbedContentRequest.g.cs | 30 +- ...le.Gemini.Models.EmbedContentResponse.g.cs | 24 +- ....Gemini.Models.EmbeddingUsageMetadata.g.cs | 26 +- .../Generated/Google.Gemini.Models.File.g.cs | 168 +- .../Google.Gemini.Models.FileSearch.g.cs | 24 +- .../Google.Gemini.Models.FileSearchStore.g.cs | 92 +- .../Google.Gemini.Models.FunctionCall.g.cs | 24 +- ...gle.Gemini.Models.FunctionDeclaration.g.cs | 74 +- ...Google.Gemini.Models.FunctionResponse.g.cs | 38 +- ...le.Gemini.Models.GenerateContentBatch.g.cs | 140 +- ...ini.Models.GenerateContentBatchOutput.g.cs | 24 +- ....Gemini.Models.GenerateContentRequest.g.cs | 76 +- ...Gemini.Models.GenerateContentResponse.g.cs | 40 +- .../Google.Gemini.Models.GeneratedFile.g.cs | 46 +- ...Google.Gemini.Models.GenerationConfig.g.cs | 261 +- ...erativelanguageV1betaGroundingSupport.g.cs | 24 +- ...ogleAiGenerativelanguageV1betaSegment.g.cs | 22 +- .../Google.Gemini.Models.GoogleSearch.g.cs | 24 +- .../Google.Gemini.Models.GroundingChunk.g.cs | 46 +- ...i.Models.GroundingChunkCustomMetadata.g.cs | 22 +- ...oogle.Gemini.Models.GroundingMetadata.g.cs | 80 +- .../Google.Gemini.Models.Hyperparameters.g.cs | 24 +- .../Generated/Google.Gemini.Models.Image.g.cs | 36 +- ...gle.Gemini.Models.ImageResponseFormat.g.cs | 32 +- ...oogle.Gemini.Models.ImportFileRequest.g.cs | 28 +- ...ini.Models.InlinedEmbedContentRequest.g.cs | 24 +- ...ni.Models.InlinedEmbedContentResponse.g.cs | 22 +- .../Google.Gemini.Models.InlinedRequest.g.cs | 24 +- .../Google.Gemini.Models.InlinedResponse.g.cs | 22 +- .../Google.Gemini.Models.InputConfig.g.cs | 24 +- .../Google.Gemini.Models.Interval.g.cs | 24 +- ...ini.Models.ListCachedContentsResponse.g.cs | 24 +- ...e.Gemini.Models.ListDocumentsResponse.g.cs | 24 +- ...ini.Models.ListGeneratedFilesResponse.g.cs | 24 +- ...Gemini.Models.ListTunedModelsResponse.g.cs | 24 +- .../Google.Gemini.Models.LogprobsResult.g.cs | 24 +- ...Gemini.Models.LogprobsResultCandidate.g.cs | 24 +- .../Generated/Google.Gemini.Models.Maps.g.cs | 52 +- .../Generated/Google.Gemini.Models.Model.g.cs | 166 +- .../Google.Gemini.Models.ModelStatus.g.cs | 26 +- .../Google.Gemini.Models.Operation.g.cs | 60 +- .../Generated/Google.Gemini.Models.Part.g.cs | 126 +- .../Google.Gemini.Models.Permission.g.cs | 50 +- ...le.Gemini.Models.ResponseFormatConfig.g.cs | 24 +- ...Google.Gemini.Models.RetrievedContext.g.cs | 76 +- .../Google.Gemini.Models.ReviewSnippet.g.cs | 24 +- .../Google.Gemini.Models.SafetyRating.g.cs | 24 +- .../Google.Gemini.Models.SafetySetting.g.cs | 26 +- .../Google.Gemini.Models.Schema.g.cs | 256 +- .../Google.Gemini.Models.SearchTypes.g.cs | 24 +- ....Gemini.Models.SemanticRetrieverChunk.g.cs | 26 +- .../Google.Gemini.Models.SpeechConfig.g.cs | 24 +- .../Google.Gemini.Models.Status.g.cs | 24 +- ...Gemini.Models.StreamableHttpTransport.g.cs | 38 +- .../Google.Gemini.Models.ThinkingConfig.g.cs | 24 +- .../Generated/Google.Gemini.Models.Tool.g.cs | 96 +- .../Google.Gemini.Models.ToolConfig.g.cs | 28 +- .../Google.Gemini.Models.ToolResponse.g.cs | 22 +- ....Gemini.Models.TranslationConfig.Json.g.cs | 92 + ...oogle.Gemini.Models.TranslationConfig.g.cs | 57 + .../Google.Gemini.Models.TunedModel.g.cs | 156 +- ...Google.Gemini.Models.TunedModelSource.g.cs | 24 +- .../Google.Gemini.Models.TuningExample.g.cs | 24 +- .../Google.Gemini.Models.TuningSnapshot.g.cs | 28 +- .../Google.Gemini.Models.TuningTask.g.cs | 54 +- ...Models.UploadToFileSearchStoreRequest.g.cs | 46 +- .../Google.Gemini.Models.UsageMetadata.g.cs | 124 +- .../Google.Gemini.Models.VideoMetadata.g.cs | 26 +- .../Generated/Google.Gemini.Models.Web.g.cs | 26 +- ...Google.Gemini.Models.WhiteSpaceConfig.g.cs | 24 +- src/libs/Google.Gemini/openapi.json | 8776 +++++++++-------- 134 files changed, 7945 insertions(+), 7762 deletions(-) create mode 100644 src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.Json.g.cs create mode 100644 src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.g.cs diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs index 6e1681e3..f0df6b77 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -448,15 +448,12 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// /// - /// - /// Stats about the batch. - /// - /// - /// Configures the input to the batch request. - /// /// /// Required. The user-defined name of this batch. /// + /// + /// Stats about the batch. + /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// @@ -466,29 +463,32 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// Configures the input to the batch request. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, string? displayName = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, string? model = default, string? priority = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { - BatchStats = batchStats, - InputConfig = inputConfig, DisplayName = displayName, + BatchStats = batchStats, Output = output, Model = model, Priority = priority, + InputConfig = inputConfig, }; return await BatchesUpdateEmbedContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 74a648a4..b8b1be73 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -448,23 +448,23 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// /// /// Configures the input to the batch request. /// /// /// Required. The user-defined name of this batch. /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// /// Stats about the batch. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -472,23 +472,23 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, + string? model = default, + string? priority = default, global::Google.Gemini.InputConfig? inputConfig = default, string? displayName = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.BatchStats? batchStats = default, - string? model = default, - string? priority = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { + Model = model, + Priority = priority, InputConfig = inputConfig, DisplayName = displayName, - Output = output, BatchStats = batchStats, - Model = model, - Priority = priority, + Output = output, }; return await BatchesUpdateGenerateContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs index 6e567852..83a72110 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs @@ -428,57 +428,57 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// /// /// Optional. Input only. Immutable. The content to cache. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Metadata on the usage of the cached content. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CachedContentsCreateAsync( string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? ttl = default, + string? model = default, string? expireTime = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? ttl = default, - string? model = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { DisplayName = displayName, + UsageMetadata = usageMetadata, + Ttl = ttl, + Model = model, ExpireTime = expireTime, - Tools = tools, SystemInstruction = systemInstruction, + Tools = tools, Contents = contents, ToolConfig = toolConfig, - Ttl = ttl, - Model = model, - UsageMetadata = usageMetadata, }; return await CachedContentsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs index de1aeea7..a8da9e22 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs @@ -451,30 +451,30 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// /// /// Optional. Input only. Immutable. The content to cache. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Metadata on the usage of the cached content. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -482,28 +482,28 @@ partial void ProcessCachedContentsPatchResponseContent( string cachedContentsId, string? updateMask = default, string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? ttl = default, + string? model = default, string? expireTime = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? ttl = default, - string? model = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { DisplayName = displayName, + UsageMetadata = usageMetadata, + Ttl = ttl, + Model = model, ExpireTime = expireTime, - Tools = tools, SystemInstruction = systemInstruction, + Tools = tools, Contents = contents, ToolConfig = toolConfig, - Ttl = ttl, - Model = model, - UsageMetadata = usageMetadata, }; return await CachedContentsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs index 0167d56a..fe472747 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs @@ -435,31 +435,31 @@ partial void ProcessCorporaPermissionsCreateResponseContent( /// Create a permission to a specific resource. /// /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + /// Optional. Immutable. The type of the grantee. /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + Role = role, + EmailAddress = emailAddress, }; return await CorporaPermissionsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs index 5b7d23da..1d67f6ca 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs @@ -458,14 +458,14 @@ partial void ProcessCorporaPermissionsPatchResponseContent( /// /// /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + /// Optional. Immutable. The type of the grantee. /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -474,17 +474,17 @@ partial void ProcessCorporaPermissionsPatchResponseContent( string permissionsId, string corporaId, string? updateMask = default, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + Role = role, + EmailAddress = emailAddress, }; return await CorporaPermissionsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs index a22fdf8a..6a1c81c6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs @@ -435,33 +435,33 @@ partial void ProcessDynamicGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -470,30 +470,30 @@ partial void ProcessDynamicGenerateContentResponseContent( /// public async global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - SafetySettings = safetySettings, GenerationConfig = generationConfig, + SafetySettings = safetySettings, Store = store, Model = model, - ToolConfig = toolConfig, - Contents = contents, CachedContent = cachedContent, ServiceTier = serviceTier, + Contents = contents, + ToolConfig = toolConfig, + Tools = tools, SystemInstruction = systemInstruction, }; diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs index 66830ada..31a58217 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs @@ -435,33 +435,33 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -470,30 +470,30 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// public async global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - SafetySettings = safetySettings, GenerationConfig = generationConfig, + SafetySettings = safetySettings, Store = store, Model = model, - ToolConfig = toolConfig, - Contents = contents, CachedContent = cachedContent, ServiceTier = serviceTier, + Contents = contents, + ToolConfig = toolConfig, + Tools = tools, SystemInstruction = systemInstruction, }; diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs index 1492f9ed..cdf7fd61 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -376,33 +376,33 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -411,30 +411,30 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// public async global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - SafetySettings = safetySettings, GenerationConfig = generationConfig, + SafetySettings = safetySettings, Store = store, Model = model, - ToolConfig = toolConfig, - Contents = contents, CachedContent = cachedContent, ServiceTier = serviceTier, + Contents = contents, + ToolConfig = toolConfig, + Tools = tools, SystemInstruction = systemInstruction, }; diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs index 9f8368aa..7dac3545 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs @@ -425,25 +425,25 @@ partial void ProcessFileSearchStoresCreateResponseContent( /// /// Creates an empty `FileSearchStore`. /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// /// /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. /// + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task FileSearchStoresCreateAsync( - string? displayName = default, string? embeddingModel = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.FileSearchStore { - DisplayName = displayName, EmbeddingModel = embeddingModel, + DisplayName = displayName, }; return await FileSearchStoresCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs index 05ef9bc7..84aaacd5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs @@ -435,31 +435,31 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// Custom metadata to be associated with the file. /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// - /// - /// Custom metadata to be associated with the file. + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - string? fileName = default, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::System.Collections.Generic.IList? customMetadata = default, + global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + string? fileName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.ImportFileRequest { - FileName = fileName, - ChunkingConfig = chunkingConfig, CustomMetadata = customMetadata, + ChunkingConfig = chunkingConfig, + FileName = fileName, }; return await FileSearchStoresImportFileAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs index 6f4340d9..9105fa4b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs @@ -435,36 +435,36 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Optional. Display name of the created document. - /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// /// /// Custom metadata to be associated with the data. /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + /// + /// Optional. Display name of the created document. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - string? displayName = default, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::System.Collections.Generic.IList? customMetadata = default, string? mimeType = default, + global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.UploadToFileSearchStoreRequest { - DisplayName = displayName, - ChunkingConfig = chunkingConfig, CustomMetadata = customMetadata, MimeType = mimeType, + ChunkingConfig = chunkingConfig, + DisplayName = displayName, }; return await MediaUploadToFileSearchStoreAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs index 4e580ba2..d01525b3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs @@ -435,33 +435,33 @@ partial void ProcessModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -470,30 +470,30 @@ partial void ProcessModelsGenerateContentResponseContent( /// public async global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - SafetySettings = safetySettings, GenerationConfig = generationConfig, + SafetySettings = safetySettings, Store = store, Model = model, - ToolConfig = toolConfig, - Contents = contents, CachedContent = cachedContent, ServiceTier = serviceTier, + Contents = contents, + ToolConfig = toolConfig, + Tools = tools, SystemInstruction = systemInstruction, }; diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs index 898cd672..fbb7c678 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs @@ -435,33 +435,33 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -470,30 +470,30 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// public async global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - SafetySettings = safetySettings, GenerationConfig = generationConfig, + SafetySettings = safetySettings, Store = store, Model = model, - ToolConfig = toolConfig, - Contents = contents, CachedContent = cachedContent, ServiceTier = serviceTier, + Contents = contents, + ToolConfig = toolConfig, + Tools = tools, SystemInstruction = systemInstruction, }; diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs index b16066e7..401f248e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -376,33 +376,33 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -411,30 +411,30 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// public async global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - SafetySettings = safetySettings, GenerationConfig = generationConfig, + SafetySettings = safetySettings, Store = store, Model = model, - ToolConfig = toolConfig, - Contents = contents, CachedContent = cachedContent, ServiceTier = serviceTier, + Contents = contents, + ToolConfig = toolConfig, + Tools = tools, SystemInstruction = systemInstruction, }; diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs index 8d51e275..65938a4a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs @@ -438,24 +438,18 @@ partial void ProcessTunedModelsCreateResponseContent( /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// /// /// Tuning tasks that create tuned models. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Tuned model as a source for training a new model. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// @@ -465,34 +459,40 @@ partial void ProcessTunedModelsCreateResponseContent( /// /// Optional. A short description of this model. /// + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - float? topP = default, - string? baseModel = default, global::Google.Gemini.TuningTask? tuningTask = default, - float? temperature = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? topP = default, string? displayName = default, int? topK = default, string? description = default, + string? baseModel = default, + float? temperature = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - ReaderProjectNumbers = readerProjectNumbers, - TopP = topP, - BaseModel = baseModel, TuningTask = tuningTask, - Temperature = temperature, + ReaderProjectNumbers = readerProjectNumbers, TunedModelSource = tunedModelSource, + TopP = topP, DisplayName = displayName, TopK = topK, Description = description, + BaseModel = baseModel, + Temperature = temperature, }; return await TunedModelsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs index d3930a21..2145063f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs @@ -435,33 +435,33 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -470,30 +470,30 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// public async global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - SafetySettings = safetySettings, GenerationConfig = generationConfig, + SafetySettings = safetySettings, Store = store, Model = model, - ToolConfig = toolConfig, - Contents = contents, CachedContent = cachedContent, ServiceTier = serviceTier, + Contents = contents, + ToolConfig = toolConfig, + Tools = tools, SystemInstruction = systemInstruction, }; diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs index 4fa44c57..081cdf8d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs @@ -448,24 +448,18 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// /// - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// /// /// Tuning tasks that create tuned models. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Tuned model as a source for training a new model. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// @@ -475,35 +469,41 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// Optional. A short description of this model. /// + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - float? topP = default, - string? baseModel = default, global::Google.Gemini.TuningTask? tuningTask = default, - float? temperature = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? topP = default, string? displayName = default, int? topK = default, string? description = default, + string? baseModel = default, + float? temperature = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - ReaderProjectNumbers = readerProjectNumbers, - TopP = topP, - BaseModel = baseModel, TuningTask = tuningTask, - Temperature = temperature, + ReaderProjectNumbers = readerProjectNumbers, TunedModelSource = tunedModelSource, + TopP = topP, DisplayName = displayName, TopK = topK, Description = description, + BaseModel = baseModel, + Temperature = temperature, }; return await TunedModelsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs index 58eaf040..afe70489 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs @@ -435,31 +435,31 @@ partial void ProcessTunedModelsPermissionsCreateResponseContent( /// Create a permission to a specific resource. /// /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + /// Optional. Immutable. The type of the grantee. /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + Role = role, + EmailAddress = emailAddress, }; return await TunedModelsPermissionsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs index 36931011..6e969712 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs @@ -458,14 +458,14 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( /// /// /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + /// Optional. Immutable. The type of the grantee. /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -474,17 +474,17 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( string tunedModelsId, string permissionsId, string? updateMask = default, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + Role = role, + EmailAddress = emailAddress, }; return await TunedModelsPermissionsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs index 0d5241fc..c7e55399 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -435,33 +435,33 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -470,30 +470,30 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// public async global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - SafetySettings = safetySettings, GenerationConfig = generationConfig, + SafetySettings = safetySettings, Store = store, Model = model, - ToolConfig = toolConfig, - Contents = contents, CachedContent = cachedContent, ServiceTier = serviceTier, + Contents = contents, + ToolConfig = toolConfig, + Tools = tools, SystemInstruction = systemInstruction, }; diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index b7c471a4..378f8daf 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -376,33 +376,33 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -411,30 +411,30 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// public async global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - SafetySettings = safetySettings, GenerationConfig = generationConfig, + SafetySettings = safetySettings, Store = store, Model = model, - ToolConfig = toolConfig, - Contents = contents, CachedContent = cachedContent, ServiceTier = serviceTier, + Contents = contents, + ToolConfig = toolConfig, + Tools = tools, SystemInstruction = systemInstruction, }; diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs index 080848ac..360d9255 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -41,15 +41,12 @@ public partial interface IGeminiClient /// /// /// - /// - /// Stats about the batch. - /// - /// - /// Configures the input to the batch request. - /// /// /// Required. The user-defined name of this batch. /// + /// + /// Stats about the batch. + /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// @@ -59,18 +56,21 @@ public partial interface IGeminiClient /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// Configures the input to the batch request. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, string? displayName = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, string? model = default, string? priority = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 74410046..7ff16444 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -41,23 +41,23 @@ public partial interface IGeminiClient /// /// /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// /// /// Configures the input to the batch request. /// /// /// Required. The user-defined name of this batch. /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// /// Stats about the batch. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -65,12 +65,12 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, + string? model = default, + string? priority = default, global::Google.Gemini.InputConfig? inputConfig = default, string? displayName = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.BatchStats? batchStats = default, - string? model = default, - string? priority = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs index 0947cb4b..d0050f28 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs @@ -34,43 +34,43 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// /// /// Optional. Input only. Immutable. The content to cache. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Metadata on the usage of the cached content. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CachedContentsCreateAsync( string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? ttl = default, + string? model = default, string? expireTime = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? ttl = default, - string? model = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs index 53e29ad1..cec392b6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs @@ -44,30 +44,30 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// /// /// Optional. Input only. Immutable. The content to cache. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Metadata on the usage of the cached content. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -75,14 +75,14 @@ public partial interface IGeminiClient string cachedContentsId, string? updateMask = default, string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? ttl = default, + string? model = default, string? expireTime = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? ttl = default, - string? model = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs index 6862024b..8736c8ac 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs @@ -36,23 +36,23 @@ public partial interface IGeminiClient /// Create a permission to a specific resource. /// /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + /// Optional. Immutable. The type of the grantee. /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs index 23ae22ac..674f1dfe 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs @@ -46,14 +46,14 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + /// Optional. Immutable. The type of the grantee. /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -62,9 +62,9 @@ public partial interface IGeminiClient string permissionsId, string corporaId, string? updateMask = default, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs index 444b3fd3..83d2847b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs @@ -36,33 +36,33 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -71,15 +71,15 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs index a4aecfd5..f4493542 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs @@ -36,33 +36,33 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -71,15 +71,15 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs index c35664b9..9ca9cd05 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -22,33 +22,33 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -57,15 +57,15 @@ public partial interface IGeminiClient /// global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs index 9edab07f..456dc9c7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs @@ -31,18 +31,18 @@ public partial interface IGeminiClient /// /// Creates an empty `FileSearchStore`. /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// /// /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. /// + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task FileSearchStoresCreateAsync( - string? displayName = default, string? embeddingModel = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs index 95c834be..e0b568c2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs @@ -36,23 +36,23 @@ public partial interface IGeminiClient /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// Custom metadata to be associated with the file. /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// - /// - /// Custom metadata to be associated with the file. + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - string? fileName = default, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::System.Collections.Generic.IList? customMetadata = default, + global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + string? fileName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs index 34a96add..4e4e5690 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs @@ -36,27 +36,27 @@ public partial interface IGeminiClient /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Optional. Display name of the created document. - /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// /// /// Custom metadata to be associated with the data. /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + /// + /// Optional. Display name of the created document. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - string? displayName = default, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::System.Collections.Generic.IList? customMetadata = default, string? mimeType = default, + global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs index 675e2a67..2cd2117c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs @@ -36,33 +36,33 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -71,15 +71,15 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs index 571116f0..2b74f55e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs @@ -36,33 +36,33 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -71,15 +71,15 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs index 5bb554a5..3fa8ae28 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -22,33 +22,33 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -57,15 +57,15 @@ public partial interface IGeminiClient /// global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs index a3fdf69e..430d33ee 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs @@ -36,24 +36,18 @@ public partial interface IGeminiClient /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// /// /// Tuning tasks that create tuned models. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Tuned model as a source for training a new model. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// @@ -63,20 +57,26 @@ public partial interface IGeminiClient /// /// Optional. A short description of this model. /// + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - float? topP = default, - string? baseModel = default, global::Google.Gemini.TuningTask? tuningTask = default, - float? temperature = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? topP = default, string? displayName = default, int? topK = default, string? description = default, + string? baseModel = default, + float? temperature = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs index 7bcdc3a4..1b57d7c8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs @@ -36,33 +36,33 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -71,15 +71,15 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs index 556d880d..24bbfa94 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs @@ -41,24 +41,18 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// /// /// Tuning tasks that create tuned models. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Tuned model as a source for training a new model. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// @@ -68,21 +62,27 @@ public partial interface IGeminiClient /// /// Optional. A short description of this model. /// + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - float? topP = default, - string? baseModel = default, global::Google.Gemini.TuningTask? tuningTask = default, - float? temperature = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? topP = default, string? displayName = default, int? topK = default, string? description = default, + string? baseModel = default, + float? temperature = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs index 2eced6f5..5c5f33eb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs @@ -36,23 +36,23 @@ public partial interface IGeminiClient /// Create a permission to a specific resource. /// /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + /// Optional. Immutable. The type of the grantee. /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs index b9a1f31c..9e3910e8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs @@ -46,14 +46,14 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + /// Optional. Immutable. The type of the grantee. /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -62,9 +62,9 @@ public partial interface IGeminiClient string tunedModelsId, string permissionsId, string? updateMask = default, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs index 12676d42..c0973905 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -36,33 +36,33 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -71,15 +71,15 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index 32982a37..ef991fe0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -22,33 +22,33 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -57,15 +57,15 @@ public partial interface IGeminiClient /// global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::System.Collections.Generic.IList? tools = default, - global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, bool? store = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs index e3f27cd7..0fe831b2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,469 +13,470 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter), typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.UnixTimestampJsonConverter), })] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.JsonSerializerContextTypes))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseBlob))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(byte[]))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSource), TypeInfoPropertyName = "FileSource2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoFileMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileState), TypeInfoPropertyName = "FileState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AsyncBatchEmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchStats))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputEmbedContentConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchOutput))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchState), TypeInfoPropertyName = "EmbedContentBatchState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Operation))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContent))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContentUsageMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Tool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContentUsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListDocumentsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Document))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Candidate))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedback))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCount))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCountModality), TypeInfoPropertyName = "ModalityTokenCountModality2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfigThinkingLevel), TypeInfoPropertyName = "ThinkingConfigThinkingLevel2")] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] public sealed partial class SourceGenerationContext : global::System.Text.Json.Serialization.JsonSerializerContext { } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs index 4e5d0aa4..4574a133 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,571 +28,571 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type0 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type0 { get; set; } /// /// /// - public byte[]? Type1 { get; set; } + public global::Google.Gemini.Status? Type1 { get; set; } /// /// /// - public string? Type2 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type2 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type3 { get; set; } + public object? Type3 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type4 { get; set; } + public global::Google.Gemini.Operation? Type4 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type5 { get; set; } + public bool? Type5 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type6 { get; set; } + public string? Type6 { get; set; } /// /// /// - public global::Google.Gemini.File? Type7 { get; set; } + public global::Google.Gemini.CachedContent? Type7 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type8 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type8 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type9 { get; set; } + public global::Google.Gemini.Content? Type9 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type10 { get; set; } + public global::System.Collections.Generic.IList? Type10 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type11 { get; set; } + public global::Google.Gemini.Tool? Type11 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type12 { get; set; } + public global::System.Collections.Generic.IList? Type12 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type13 { get; set; } + public global::Google.Gemini.ToolConfig? Type13 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type14 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type14 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type15 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type15 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type16 { get; set; } + public int? Type16 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type17 { get; set; } + public global::System.Collections.Generic.IList? Type17 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type18 { get; set; } + public global::Google.Gemini.Part? Type18 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type19 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type19 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type20 { get; set; } + public global::System.Collections.Generic.IList? Type20 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type21 { get; set; } + public global::System.Collections.Generic.IList? Type21 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type22 { get; set; } + public global::Google.Gemini.LogprobsResult? Type22 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type23 { get; set; } + public global::System.Collections.Generic.IList? Type23 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type24 { get; set; } + public global::Google.Gemini.TopCandidates? Type24 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type25 { get; set; } + public global::System.Collections.Generic.IList? Type25 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type26 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type26 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type27 { get; set; } + public float? Type27 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type28 { get; set; } + public global::Google.Gemini.SpeechConfig? Type28 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type29 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type29 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type30 { get; set; } + public global::Google.Gemini.VoiceConfig? Type30 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type31 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type31 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type32 { get; set; } + public byte[]? Type32 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type33 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type33 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type34 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type34 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type35 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type35 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type36 { get; set; } + public global::Google.Gemini.Hyperparameters? Type36 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type37 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type37 { get; set; } /// /// /// - public bool? Type38 { get; set; } + public global::Google.Gemini.ToolResponse? Type38 { get; set; } /// /// /// - public int? Type39 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type39 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type40 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type40 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type41 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type41 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type42 { get; set; } + public global::Google.Gemini.GenerationConfig? Type42 { get; set; } /// /// /// - public double? Type43 { get; set; } + public global::System.Collections.Generic.IList? Type43 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type44 { get; set; } + public global::Google.Gemini.SafetySetting? Type44 { get; set; } /// /// /// - public object? Type45 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type45 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type46 { get; set; } + public global::Google.Gemini.InputConfig? Type46 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type47 { get; set; } + public global::Google.Gemini.InlinedRequests? Type47 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type48 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type48 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type49 { get; set; } + public global::System.Collections.Generic.IList? Type49 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type50 { get; set; } + public global::Google.Gemini.TunedModel? Type50 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type51 { get; set; } + public global::Google.Gemini.CitationSource? Type51 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type52 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type52 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type53 { get; set; } + public global::Google.Gemini.Web? Type53 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type54 { get; set; } + public global::Google.Gemini.ImageConfig? Type54 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type55 { get; set; } + public global::System.Collections.Generic.IList? Type55 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type56 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type56 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type57 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type57 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type58 { get; set; } + public global::System.Collections.Generic.IList? Type58 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type59 { get; set; } + public global::Google.Gemini.File? Type59 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type60 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type60 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type61 { get; set; } + public global::System.Collections.Generic.IList? Type61 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type62 { get; set; } + public global::Google.Gemini.UrlMetadata? Type62 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type63 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type63 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type64 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type64 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type65 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type65 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type66 { get; set; } + public global::System.Collections.Generic.IList? Type66 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type67 { get; set; } + public global::Google.Gemini.CustomMetadata? Type67 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type68 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type68 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type69 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type69 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type70 { get; set; } + public global::System.Collections.Generic.IList? Type70 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type71 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type71 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type72 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type72 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type73 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type73 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type74 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type74 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type75 { get; set; } + public global::Google.Gemini.InlinedRequest? Type75 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type76 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type76 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type77 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type77 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type78 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type78 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type79 { get; set; } + public global::System.Collections.Generic.IList? Type79 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type80 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type80 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type81 { get; set; } + public global::System.Collections.Generic.IList? Type81 { get; set; } /// /// /// - public float? Type82 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type82 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type83 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type83 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type84 { get; set; } + public global::System.Collections.Generic.IList? Type84 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type85 { get; set; } + public global::Google.Gemini.FileSearchStore? Type85 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type86 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type86 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type87 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type87 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type88 { get; set; } + public global::Google.Gemini.UsageMetadata? Type88 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type89 { get; set; } + public global::Google.Gemini.UsageMetadataServiceTier? Type89 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type90 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type90 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type91 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type91 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type92 { get; set; } + public global::Google.Gemini.Schema? Type92 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type93 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type93 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type94 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type94 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type95 { get; set; } + public global::Google.Gemini.CitationMetadata? Type95 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type96 { get; set; } + public global::System.Collections.Generic.IList? Type96 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type97 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type97 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type98 { get; set; } + public global::System.Collections.Generic.IList? Type98 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type99 { get; set; } + public global::Google.Gemini.GroundingChunk? Type99 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type100 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type100 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type101 { get; set; } + public global::System.Collections.Generic.IList? Type101 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type102 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type102 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type103 { get; set; } + public global::Google.Gemini.TranslationConfig? Type103 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type104 { get; set; } + public global::Google.Gemini.CodeExecution? Type104 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type105 { get; set; } + public global::Google.Gemini.Maps? Type105 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type106 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type106 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type107 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type107 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type108 { get; set; } + public global::System.Collections.Generic.IList? Type108 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type109 { get; set; } + public global::Google.Gemini.Corpus? Type109 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type110 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type110 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type111 { get; set; } + public global::System.Collections.Generic.IList? Type111 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type112 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type112 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type113 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type113 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type114 { get; set; } + public global::System.Collections.Generic.IList? Type114 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type115 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type115 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type116 { get; set; } + public global::Google.Gemini.Interval? Type116 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type117 { get; set; } + public global::Google.Gemini.McpServer? Type117 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type118 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type118 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type119 { get; set; } + public global::Google.Gemini.BatchStats? Type119 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type120 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type120 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type121 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type121 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type122 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type122 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type123 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type123 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type124 { get; set; } + public global::System.Collections.Generic.IList? Type124 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type125 { get; set; } + public global::Google.Gemini.GoogleMaps? Type125 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type126 { get; set; } + public global::Google.Gemini.ComputerUse? Type126 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type127 { get; set; } + public global::System.Collections.Generic.IList? Type127 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type128 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type128 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type129 { get; set; } + public global::Google.Gemini.GoogleSearch? Type129 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type130 { get; set; } + public global::Google.Gemini.UrlContext? Type130 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type131 { get; set; } + public global::Google.Gemini.FileSearch? Type131 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type132 { get; set; } + public global::System.Collections.Generic.IList? Type132 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type133 { get; set; } + public global::System.Collections.Generic.IList? Type133 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type134 { get; set; } + public global::System.Collections.Generic.IList? Type134 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type135 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type135 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type136 { get; set; } + public global::System.Collections.Generic.IList? Type136 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type137 { get; set; } + public global::Google.Gemini.Permission? Type137 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type138 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type138 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type139 { get; set; } + public global::System.Collections.Generic.IList? Type139 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type140 { get; set; } + public global::Google.Gemini.Document? Type140 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type141 { get; set; } + public global::Google.Gemini.TunedModelSource? Type141 { get; set; } /// /// /// @@ -600,516 +600,520 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.GroundingPassageId? Type143 { get; set; } + public global::Google.Gemini.LatLng? Type143 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type144 { get; set; } + public global::Google.Gemini.InlinedResponse? Type144 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type145 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type145 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type146 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type146 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type147 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type147 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type148 { get; set; } + public global::System.Collections.Generic.IList? Type148 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type149 { get; set; } + public global::Google.Gemini.Model? Type149 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type150 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type150 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type151 { get; set; } + public global::Google.Gemini.Image? Type151 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type152 { get; set; } + public double? Type152 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type153 { get; set; } + public global::Google.Gemini.SchemaType? Type153 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type154 { get; set; } + public global::System.Collections.Generic.IList? Type154 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type155 { get; set; } + public global::System.Collections.Generic.Dictionary? Type155 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type156 { get; set; } + public global::Google.Gemini.ImageResponseFormat? Type156 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type157 { get; set; } + public global::Google.Gemini.ImageResponseFormatDelivery? Type157 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type158 { get; set; } + public global::Google.Gemini.ImageResponseFormatAspectRatio? Type158 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type159 { get; set; } + public global::Google.Gemini.ImageResponseFormatMimeType? Type159 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type160 { get; set; } + public global::Google.Gemini.ImageResponseFormatImageSize? Type160 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type161 { get; set; } + public global::Google.Gemini.WebSearch? Type161 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type162 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type162 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type163 { get; set; } + public global::Google.Gemini.Dataset? Type163 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type164 { get; set; } + public global::Google.Gemini.TuningExamples? Type164 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type165 { get; set; } + public global::Google.Gemini.ImageSearch? Type165 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type166 { get; set; } + public global::Google.Gemini.InlinedResponses? Type166 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type167 { get; set; } + public global::Google.Gemini.PromptFeedback? Type167 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type168 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type168 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type169 { get; set; } + public global::System.Collections.Generic.IList? Type169 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type170 { get; set; } + public global::Google.Gemini.SafetyRating? Type170 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type171 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type171 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type172 { get; set; } + public global::Google.Gemini.PermissionRole? Type172 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type173 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type173 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormat? Type174 { get; set; } + public global::Google.Gemini.TuningTask? Type174 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormatMimeType? Type175 { get; set; } + public global::Google.Gemini.TunedModelState? Type175 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormatDelivery? Type176 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type176 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type177 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type177 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type178 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type178 { get; set; } /// /// /// - public global::Google.Gemini.TextResponseFormat? Type179 { get; set; } + public global::Google.Gemini.FunctionResponse? Type179 { get; set; } /// /// /// - public global::Google.Gemini.TextResponseFormatMimeType? Type180 { get; set; } + public global::System.Collections.Generic.IList? Type180 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type181 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type181 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type182 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type182 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type183 { get; set; } + public global::Google.Gemini.TextResponseFormat? Type183 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormat? Type184 { get; set; } + public global::Google.Gemini.TextResponseFormatMimeType? Type184 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatDelivery? Type185 { get; set; } + public global::System.Collections.Generic.IList? Type185 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatImageSize? Type186 { get; set; } + public global::Google.Gemini.TuningExample? Type186 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatMimeType? Type187 { get; set; } + public global::Google.Gemini.StringList? Type187 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatAspectRatio? Type188 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type188 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type189 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type189 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type190 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type190 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type191 { get; set; } + public global::Google.Gemini.ResponseFormatConfig? Type191 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type192 { get; set; } + public global::System.Collections.Generic.IList? Type192 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type193 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type193 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type194 { get; set; } + public global::Google.Gemini.AudioResponseFormat? Type194 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type195 { get; set; } + public global::Google.Gemini.AudioResponseFormatDelivery? Type195 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type196 { get; set; } + public global::Google.Gemini.AudioResponseFormatMimeType? Type196 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type197 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type197 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type198 { get; set; } + public global::System.Collections.Generic.IList? Type198 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type199 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type199 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type200 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type200 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type201 { get; set; } + public global::Google.Gemini.ModelStatus? Type201 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type202 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type202 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type203 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type203 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type204 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type204 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type205 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type205 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type206 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type206 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type207 { get; set; } + public global::Google.Gemini.GeneratedFile? Type207 { get; set; } /// /// /// - public global::Google.Gemini.ResponseFormatConfig? Type208 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type208 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type209 { get; set; } + public global::Google.Gemini.SearchTypes? Type209 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type210 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type210 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type211 { get; set; } + public global::System.Collections.Generic.IList? Type211 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type212 { get; set; } + public global::Google.Gemini.Candidate? Type212 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type213 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type213 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type214 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type214 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type215 { get; set; } + public global::Google.Gemini.VideoMetadata? Type215 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type216 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type216 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type217 { get; set; } + public global::Google.Gemini.ToolCall? Type217 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type218 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type218 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type219 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type219 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type220 { get; set; } + public global::System.Collections.Generic.IList? Type220 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type221 { get; set; } + public global::Google.Gemini.Blob? Type221 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type222 { get; set; } + public global::Google.Gemini.DocumentState? Type222 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type223 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type223 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type224 { get; set; } + public global::Google.Gemini.RetrievedContext? Type224 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type225 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type225 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadataServiceTier? Type226 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type226 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type227 { get; set; } + public global::Google.Gemini.ExecutableCode? Type227 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type228 { get; set; } + public global::Google.Gemini.FunctionCall? Type228 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type229 { get; set; } + public global::Google.Gemini.FileData? Type229 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type230 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type230 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type231 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type231 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type232 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type232 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type233 { get; set; } + public global::Google.Gemini.Empty? Type233 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type234 { get; set; } + public global::System.Collections.Generic.IList? Type234 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type235 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type235 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type236 { get; set; } + public global::Google.Gemini.FileState? Type236 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type237 { get; set; } + public global::Google.Gemini.FileSource? Type237 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type238 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type238 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type239 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type239 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type240 { get; set; } + public global::System.Collections.Generic.IList? Type240 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type241 { get; set; } + public global::System.Collections.Generic.IList? Type241 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type242 { get; set; } + public global::System.Collections.Generic.Dictionary? Type242 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type243 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type243 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type244 { get; set; } + public global::System.Collections.Generic.IList? Type244 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type245 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type245 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type246 { get; set; } + public global::System.Collections.Generic.IList? Type246 { get; set; } + /// + /// + /// + public global::System.Collections.Generic.IList? Type247 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType0 { get; set; } + public global::System.Collections.Generic.List? ListType0 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType1 { get; set; } + public global::System.Collections.Generic.List? ListType1 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType2 { get; set; } + public global::System.Collections.Generic.List? ListType2 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType3 { get; set; } + public global::System.Collections.Generic.List? ListType3 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType7 { get; set; } + public global::System.Collections.Generic.List? ListType7 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType8 { get; set; } + public global::System.Collections.Generic.List? ListType8 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType9 { get; set; } + public global::System.Collections.Generic.List? ListType9 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType10 { get; set; } + public global::System.Collections.Generic.List? ListType10 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType11 { get; set; } + public global::System.Collections.Generic.List? ListType11 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType12 { get; set; } + public global::System.Collections.Generic.List? ListType12 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType13 { get; set; } + public global::System.Collections.Generic.List? ListType13 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType14 { get; set; } + public global::System.Collections.Generic.List? ListType14 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType15 { get; set; } + public global::System.Collections.Generic.List? ListType15 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType16 { get; set; } + public global::System.Collections.Generic.List? ListType16 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType17 { get; set; } + public global::System.Collections.Generic.List? ListType17 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType18 { get; set; } + public global::System.Collections.Generic.List? ListType18 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType19 { get; set; } + public global::System.Collections.Generic.List? ListType19 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType20 { get; set; } + public global::System.Collections.Generic.List? ListType20 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType21 { get; set; } + public global::System.Collections.Generic.List? ListType21 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType22 { get; set; } + public global::System.Collections.Generic.List? ListType22 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType23 { get; set; } + public global::System.Collections.Generic.List? ListType23 { get; set; } /// /// /// @@ -1117,82 +1121,82 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::System.Collections.Generic.List? ListType25 { get; set; } + public global::System.Collections.Generic.List? ListType25 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType26 { get; set; } + public global::System.Collections.Generic.List? ListType26 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType27 { get; set; } + public global::System.Collections.Generic.List? ListType27 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType28 { get; set; } + public global::System.Collections.Generic.List? ListType28 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType29 { get; set; } + public global::System.Collections.Generic.List? ListType29 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType30 { get; set; } + public global::System.Collections.Generic.List? ListType30 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType31 { get; set; } + public global::System.Collections.Generic.List? ListType31 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType32 { get; set; } + public global::System.Collections.Generic.List? ListType32 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType33 { get; set; } + public global::System.Collections.Generic.List? ListType33 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType34 { get; set; } + public global::System.Collections.Generic.List? ListType34 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType35 { get; set; } + public global::System.Collections.Generic.List? ListType35 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType36 { get; set; } + public global::System.Collections.Generic.List? ListType36 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType37 { get; set; } + public global::System.Collections.Generic.List? ListType37 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType38 { get; set; } + public global::System.Collections.Generic.List? ListType38 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType39 { get; set; } + public global::System.Collections.Generic.List? ListType39 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType40 { get; set; } + public global::System.Collections.Generic.List? ListType40 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType41 { get; set; } + public global::System.Collections.Generic.List? ListType41 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType42 { get; set; } + public global::System.Collections.Generic.List? ListType42 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType43 { get; set; } + public global::System.Collections.Generic.List? ListType43 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType44 { get; set; } + public global::System.Collections.Generic.List? ListType44 { get; set; } } } \ No newline at end of file diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs index fac6fb8f..ec74f8c3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs @@ -8,25 +8,12 @@ namespace Google.Gemini /// public sealed partial class AudioResponseFormat { - /// - /// Optional. The MIME type of the audio output. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter))] - public global::Google.Gemini.AudioResponseFormatMimeType? MimeType { get; set; } - /// /// Optional. Sample rate in Hz. /// [global::System.Text.Json.Serialization.JsonPropertyName("sampleRate")] public int? SampleRate { get; set; } - /// - /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("bitRate")] - public int? BitRate { get; set; } - /// /// Optional. The delivery mode for the audio output. /// @@ -34,6 +21,19 @@ public sealed partial class AudioResponseFormat [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter))] public global::Google.Gemini.AudioResponseFormatDelivery? Delivery { get; set; } + /// + /// Optional. The MIME type of the audio output. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter))] + public global::Google.Gemini.AudioResponseFormatMimeType? MimeType { get; set; } + + /// + /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("bitRate")] + public int? BitRate { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -43,31 +43,31 @@ public sealed partial class AudioResponseFormat /// /// Initializes a new instance of the class. /// - /// - /// Optional. The MIME type of the audio output. - /// /// /// Optional. Sample rate in Hz. /// - /// - /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). - /// /// /// Optional. The delivery mode for the audio output. /// + /// + /// Optional. The MIME type of the audio output. + /// + /// + /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public AudioResponseFormat( - global::Google.Gemini.AudioResponseFormatMimeType? mimeType, int? sampleRate, - int? bitRate, - global::Google.Gemini.AudioResponseFormatDelivery? delivery) + global::Google.Gemini.AudioResponseFormatDelivery? delivery, + global::Google.Gemini.AudioResponseFormatMimeType? mimeType, + int? bitRate) { - this.MimeType = mimeType; this.SampleRate = sampleRate; - this.BitRate = bitRate; this.Delivery = delivery; + this.MimeType = mimeType; + this.BitRate = bitRate; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs index 7db4b5ba..1bd6145a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class BatchEmbedContentsResponse { - /// - /// Metadata on the usage of the embedding request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.EmbeddingUsageMetadata? UsageMetadata { get; set; } - /// /// Output only. The embeddings for each request, in the same order as provided in the batch request.
/// Included only in responses @@ -21,6 +15,12 @@ public sealed partial class BatchEmbedContentsResponse [global::System.Text.Json.Serialization.JsonPropertyName("embeddings")] public global::System.Collections.Generic.IList? Embeddings { get; set; } + /// + /// Metadata on the usage of the embedding request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.EmbeddingUsageMetadata? UsageMetadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class BatchEmbedContentsResponse /// /// Initializes a new instance of the class. /// - /// - /// Metadata on the usage of the embedding request. - /// /// /// Output only. The embeddings for each request, in the same order as provided in the batch request.
/// Included only in responses /// + /// + /// Metadata on the usage of the embedding request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchEmbedContentsResponse( - global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata, - global::System.Collections.Generic.IList? embeddings) + global::System.Collections.Generic.IList? embeddings, + global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata) { - this.UsageMetadata = usageMetadata; this.Embeddings = embeddings; + this.UsageMetadata = usageMetadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs index 17a76eb9..2f59c767 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Blob { - /// - /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - /// /// Raw bytes for media formats. /// [global::System.Text.Json.Serialization.JsonPropertyName("data")] public byte[]? Data { get; set; } + /// + /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Blob /// /// Initializes a new instance of the class. /// - /// - /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // - /// /// /// Raw bytes for media formats. /// + /// + /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Blob( - string? mimeType, - byte[]? data) + byte[]? data, + string? mimeType) { - this.MimeType = mimeType; this.Data = data; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs index 6686b4be..e20de78b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class CachedContent { + /// + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// @@ -15,59 +22,59 @@ public sealed partial class CachedContent public string? DisplayName { get; set; } /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// Metadata on the usage of the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] - public string? ExpireTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// Input only. New TTL for this resource, input only. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] + public string? Ttl { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Optional. Input only. Immutable. The content to cache. + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] + public string? ExpireTime { get; set; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } /// - /// Input only. New TTL for this resource, input only. + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// Optional. Input only. Immutable. The content to cache. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// Metadata on the usage of the cached content. + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// /// Output only. Creation time of the cache entry.
@@ -76,13 +83,6 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { get; set; } - /// - /// Output only. When the cache entry was last updated in UTC time.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -92,74 +92,74 @@ public sealed partial class CachedContent /// /// Initializes a new instance of the class. /// + /// + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses + /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses + /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Metadata on the usage of the cached content. - /// /// /// Output only. Creation time of the cache entry.
/// Included only in responses /// - /// - /// Output only. When the cache entry was last updated in UTC time.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( + string? updateTime, string? displayName, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, + string? ttl, + string? name, + string? model, string? expireTime, - global::System.Collections.Generic.IList? tools, global::Google.Gemini.Content? systemInstruction, + global::System.Collections.Generic.IList? tools, global::System.Collections.Generic.IList? contents, - string? name, global::Google.Gemini.ToolConfig? toolConfig, - string? ttl, - string? model, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, - string? createTime, - string? updateTime) + string? createTime) { + this.UpdateTime = updateTime; this.DisplayName = displayName; + this.UsageMetadata = usageMetadata; + this.Ttl = ttl; + this.Name = name; + this.Model = model; this.ExpireTime = expireTime; - this.Tools = tools; this.SystemInstruction = systemInstruction; + this.Tools = tools; this.Contents = contents; - this.Name = name; this.ToolConfig = toolConfig; - this.Ttl = ttl; - this.Model = model; - this.UsageMetadata = usageMetadata; this.CreateTime = createTime; - this.UpdateTime = updateTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs index 7c695c78..557d0775 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs @@ -9,42 +9,51 @@ namespace Google.Gemini public sealed partial class Candidate { /// - /// Output only. Token count for this candidate.
- /// Included only in responses + /// Logprobs Result /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] - public int? TokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] + public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } /// - /// Output only. Index of the candidate in the list of response candidates.
+ /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } /// - /// A collection of source attributions for a piece of content. + /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// - [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] - public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } /// - /// Logprobs Result + /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] - public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishReason")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] + public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } /// - /// Metadata related to url context retrieval tool. + /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] - public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] + public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } /// - /// Metadata returned to client when grounding is enabled. + /// Output only. Index of the candidate in the list of response candidates.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] - public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("index")] + public int? Index { get; set; } + + /// + /// A collection of source attributions for a piece of content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] + public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } /// /// Output only. Average log probability score of the candidate.
@@ -54,38 +63,29 @@ public sealed partial class Candidate public double? AvgLogprobs { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } - - /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// Metadata returned to client when grounding is enabled. /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] + public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
- /// Included only in responses + /// Metadata related to url context retrieval tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] - public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] + public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
- /// Included only in responses + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishReason")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] - public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Output only. Token count for this candidate.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] - public string? FinishMessage { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] + public int? TokenCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -96,8 +96,22 @@ public sealed partial class Candidate /// /// Initializes a new instance of the class. /// - /// - /// Output only. Token count for this candidate.
+ /// + /// Logprobs Result + /// + /// + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Included only in responses + /// + /// + /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// + /// + /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
+ /// Included only in responses + /// + /// + /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// /// @@ -107,66 +121,52 @@ public sealed partial class Candidate /// /// A collection of source attributions for a piece of content. /// - /// - /// Logprobs Result - /// - /// - /// Metadata related to url context retrieval tool. + /// + /// Output only. Average log probability score of the candidate.
+ /// Included only in responses /// /// /// Metadata returned to client when grounding is enabled. /// - /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses + /// + /// Metadata related to url context retrieval tool. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. - /// - /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
- /// Included only in responses - /// - /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
- /// Included only in responses - /// - /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// + /// Output only. Token count for this candidate.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( - int? tokenCount, + global::Google.Gemini.LogprobsResult? logprobsResult, + string? finishMessage, + global::System.Collections.Generic.IList? safetyRatings, + global::Google.Gemini.CandidateFinishReason? finishReason, + global::System.Collections.Generic.IList? groundingAttributions, int? index, global::Google.Gemini.CitationMetadata? citationMetadata, - global::Google.Gemini.LogprobsResult? logprobsResult, - global::Google.Gemini.UrlContextMetadata? urlContextMetadata, - global::Google.Gemini.GroundingMetadata? groundingMetadata, double? avgLogprobs, + global::Google.Gemini.GroundingMetadata? groundingMetadata, + global::Google.Gemini.UrlContextMetadata? urlContextMetadata, global::Google.Gemini.Content? content, - global::System.Collections.Generic.IList? safetyRatings, - global::System.Collections.Generic.IList? groundingAttributions, - global::Google.Gemini.CandidateFinishReason? finishReason, - string? finishMessage) + int? tokenCount) { - this.TokenCount = tokenCount; + this.LogprobsResult = logprobsResult; + this.FinishMessage = finishMessage; + this.SafetyRatings = safetyRatings; + this.FinishReason = finishReason; + this.GroundingAttributions = groundingAttributions; this.Index = index; this.CitationMetadata = citationMetadata; - this.LogprobsResult = logprobsResult; - this.UrlContextMetadata = urlContextMetadata; - this.GroundingMetadata = groundingMetadata; this.AvgLogprobs = avgLogprobs; + this.GroundingMetadata = groundingMetadata; + this.UrlContextMetadata = urlContextMetadata; this.Content = content; - this.SafetyRatings = safetyRatings; - this.GroundingAttributions = groundingAttributions; - this.FinishReason = finishReason; - this.FinishMessage = finishMessage; + this.TokenCount = tokenCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs index 7147c286..96515f46 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class CitationSource { - /// - /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] - public int? StartIndex { get; set; } - /// /// Optional. URI that is attributed as a source for a portion of the text. /// @@ -26,6 +20,12 @@ public sealed partial class CitationSource [global::System.Text.Json.Serialization.JsonPropertyName("license")] public string? License { get; set; } + /// + /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] + public int? StartIndex { get; set; } + /// /// Optional. End of the attributed segment, exclusive. /// @@ -41,15 +41,15 @@ public sealed partial class CitationSource /// /// Initializes a new instance of the class. /// - /// - /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. - /// /// /// Optional. URI that is attributed as a source for a portion of the text. /// /// /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. /// + /// + /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. + /// /// /// Optional. End of the attributed segment, exclusive. /// @@ -57,14 +57,14 @@ public sealed partial class CitationSource [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( - int? startIndex, string? uri, string? license, + int? startIndex, int? endIndex) { - this.StartIndex = startIndex; this.Uri = uri; this.License = license; + this.StartIndex = startIndex; this.EndIndex = endIndex; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs index 857028fb..11556e1a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs @@ -14,12 +14,6 @@ public sealed partial class CodeExecutionResult [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } - /// - /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public string? Output { get; set; } - /// /// Required. Outcome of the code execution. /// @@ -27,6 +21,12 @@ public sealed partial class CodeExecutionResult [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter))] public global::Google.Gemini.CodeExecutionResultOutcome? Outcome { get; set; } + /// + /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public string? Output { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,23 +39,23 @@ public sealed partial class CodeExecutionResult /// /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. /// - /// - /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. - /// /// /// Required. Outcome of the code execution. /// + /// + /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CodeExecutionResult( string? id, - string? output, - global::Google.Gemini.CodeExecutionResultOutcome? outcome) + global::Google.Gemini.CodeExecutionResultOutcome? outcome, + string? output) { this.Id = id; - this.Output = output; this.Outcome = outcome; + this.Output = output; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs index c53213b9..db1b7f3e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Content { - /// - /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("role")] - public string? Role { get; set; } - /// /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. /// [global::System.Text.Json.Serialization.JsonPropertyName("parts")] public global::System.Collections.Generic.IList? Parts { get; set; } + /// + /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("role")] + public string? Role { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Content /// /// Initializes a new instance of the class. /// - /// - /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. - /// /// /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. /// + /// + /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Content( - string? role, - global::System.Collections.Generic.IList? parts) + global::System.Collections.Generic.IList? parts, + string? role) { - this.Role = role; this.Parts = parts; + this.Role = role; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ContentEmbedding.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ContentEmbedding.g.cs index 2381f72d..941fe884 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ContentEmbedding.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ContentEmbedding.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ContentEmbedding { - /// - /// The embedding values. This is for 3P users only and will not be populated for 1P calls. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("values")] - public global::System.Collections.Generic.IList? Values { get; set; } - /// /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). /// [global::System.Text.Json.Serialization.JsonPropertyName("shape")] public global::System.Collections.Generic.IList? Shape { get; set; } + /// + /// The embedding values. This is for 3P users only and will not be populated for 1P calls. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("values")] + public global::System.Collections.Generic.IList? Values { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ContentEmbedding /// /// Initializes a new instance of the class. /// - /// - /// The embedding values. This is for 3P users only and will not be populated for 1P calls. - /// /// /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). /// + /// + /// The embedding values. This is for 3P users only and will not be populated for 1P calls. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ContentEmbedding( - global::System.Collections.Generic.IList? values, - global::System.Collections.Generic.IList? shape) + global::System.Collections.Generic.IList? shape, + global::System.Collections.Generic.IList? values) { - this.Values = values; this.Shape = shape; + this.Values = values; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs index 39c529ba..dbdad75a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs @@ -15,13 +15,6 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } - /// - /// Output only. The Timestamp of when the `Corpus` was created.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses @@ -35,6 +28,13 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -48,10 +48,6 @@ public sealed partial class Corpus /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `Corpus` was created.
- /// Included only in responses - /// /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses @@ -59,19 +55,23 @@ public sealed partial class Corpus /// /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// + /// + /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( string? name, - string? createTime, string? updateTime, - string? displayName) + string? displayName, + string? createTime) { this.Name = name; - this.CreateTime = createTime; this.UpdateTime = updateTime; this.DisplayName = displayName; + this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs index 5bba25f6..5d22d08d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class CountTokensResponse { - /// - /// Output only. List of modalities that were processed in the cached content.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } - /// /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. /// @@ -34,6 +27,13 @@ public sealed partial class CountTokensResponse [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] public int? CachedContentTokenCount { get; set; } + /// + /// Output only. List of modalities that were processed in the cached content.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -43,10 +43,6 @@ public sealed partial class CountTokensResponse /// /// Initializes a new instance of the class. /// - /// - /// Output only. List of modalities that were processed in the cached content.
- /// Included only in responses - /// /// /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. /// @@ -57,19 +53,23 @@ public sealed partial class CountTokensResponse /// /// Number of tokens in the cached part of the prompt (the cached content). /// + /// + /// Output only. List of modalities that were processed in the cached content.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( - global::System.Collections.Generic.IList? cacheTokensDetails, int? totalTokens, global::System.Collections.Generic.IList? promptTokensDetails, - int? cachedContentTokenCount) + int? cachedContentTokenCount, + global::System.Collections.Generic.IList? cacheTokensDetails) { - this.CacheTokensDetails = cacheTokensDetails; this.TotalTokens = totalTokens; this.PromptTokensDetails = promptTokensDetails; this.CachedContentTokenCount = cachedContentTokenCount; + this.CacheTokensDetails = cacheTokensDetails; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs index 510c89b3..5645db63 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs @@ -9,10 +9,16 @@ namespace Google.Gemini public sealed partial class CustomLongRunningOperation { /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } + + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. @@ -21,10 +27,10 @@ public sealed partial class CustomLongRunningOperation public object? Response { get; set; } /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. @@ -32,12 +38,6 @@ public sealed partial class CustomLongRunningOperation [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class CustomLongRunningOperation /// /// Initializes a new instance of the class. /// - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// /// /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomLongRunningOperation( - string? name, - object? response, + bool? done, global::Google.Gemini.Status? error, - object? metadata, - bool? done) + object? response, + string? name, + object? metadata) { - this.Name = name; - this.Response = response; + this.Done = done; this.Error = error; + this.Response = response; + this.Name = name; this.Metadata = metadata; - this.Done = done; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs index 8d7b5e1a..77f1ef02 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class CustomMetadata { /// - /// The string value of the metadata to store. + /// Required. The key of the metadata to store. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] - public string? StringValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("key")] + public string? Key { get; set; } /// - /// The numeric value of the metadata to store. + /// The string value of the metadata to store. /// - [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] - public float? NumericValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] + public string? StringValue { get; set; } /// /// User provided string values assigned to a single metadata key. @@ -27,10 +27,10 @@ public sealed partial class CustomMetadata public global::Google.Gemini.StringList? StringListValue { get; set; } /// - /// Required. The key of the metadata to store. + /// The numeric value of the metadata to store. /// - [global::System.Text.Json.Serialization.JsonPropertyName("key")] - public string? Key { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] + public float? NumericValue { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class CustomMetadata /// /// Initializes a new instance of the class. /// + /// + /// Required. The key of the metadata to store. + /// /// /// The string value of the metadata to store. /// - /// - /// The numeric value of the metadata to store. - /// /// /// User provided string values assigned to a single metadata key. /// - /// - /// Required. The key of the metadata to store. + /// + /// The numeric value of the metadata to store. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( + string? key, string? stringValue, - float? numericValue, global::Google.Gemini.StringList? stringListValue, - string? key) + float? numericValue) { + this.Key = key; this.StringValue = stringValue; - this.NumericValue = numericValue; this.StringListValue = stringListValue; - this.Key = key; + this.NumericValue = numericValue; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs index 4b01ac23..2cedef4e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs @@ -14,25 +14,6 @@ public sealed partial class Document [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } - /// - /// Output only. The size of raw bytes ingested into the Document.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } - - /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - /// /// Output only. Current state of the `Document`.
/// Included only in responses @@ -41,6 +22,13 @@ public sealed partial class Document [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter))] public global::Google.Gemini.DocumentState? State { get; set; } + /// + /// Output only. The size of raw bytes ingested into the Document.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } + /// /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses @@ -48,6 +36,13 @@ public sealed partial class Document [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } + /// + /// Output only. The mime type of the Document.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses @@ -56,11 +51,16 @@ public sealed partial class Document public string? CreateTime { get; set; } /// - /// Output only. The mime type of the Document.
- /// Included only in responses + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -74,53 +74,53 @@ public sealed partial class Document /// /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" /// - /// - /// Output only. The size of raw bytes ingested into the Document.
- /// Included only in responses - /// - /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` - /// - /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. - /// /// /// Output only. Current state of the `Document`.
/// Included only in responses /// + /// + /// Output only. The size of raw bytes ingested into the Document.
+ /// Included only in responses + /// /// /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// + /// + /// Output only. The mime type of the Document.
+ /// Included only in responses + /// /// /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// - /// - /// Output only. The mime type of the Document.
- /// Included only in responses + /// + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// + /// + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( string? displayName, - string? sizeBytes, - string? name, - global::System.Collections.Generic.IList? customMetadata, global::Google.Gemini.DocumentState? state, + string? sizeBytes, string? updateTime, + string? mimeType, string? createTime, - string? mimeType) + string? name, + global::System.Collections.Generic.IList? customMetadata) { this.DisplayName = displayName; - this.SizeBytes = sizeBytes; - this.Name = name; - this.CustomMetadata = customMetadata; this.State = state; + this.SizeBytes = sizeBytes; this.UpdateTime = updateTime; - this.CreateTime = createTime; this.MimeType = mimeType; + this.CreateTime = createTime; + this.Name = name; + this.CustomMetadata = customMetadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs index 1111b001..a6bede25 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatch { + /// + /// Required. The user-defined name of this batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + /// /// Stats about the batch. /// @@ -15,16 +21,18 @@ public sealed partial class EmbedContentBatch public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } /// - /// Configures the input to the batch request. + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// - /// Required. The user-defined name of this batch. + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. @@ -33,18 +41,11 @@ public sealed partial class EmbedContentBatch public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } /// - /// Output only. The time at which the batch was created.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - - /// - /// Output only. The time at which the batch was last updated.
+ /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -67,18 +68,17 @@ public sealed partial class EmbedContentBatch public string? Priority { get; set; } /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Output only. The time at which the batch was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,26 +89,27 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Stats about the batch. - /// - /// - /// Configures the input to the batch request. - /// /// /// Required. The user-defined name of this batch. /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// Stats about the batch. /// - /// - /// Output only. The time at which the batch was created.
+ /// + /// Output only. The time at which the batch processing completed.
/// Included only in responses /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// @@ -119,41 +120,40 @@ public sealed partial class EmbedContentBatch /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// + /// Configures the input to the batch request. /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// + /// Output only. The time at which the batch was created.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( - global::Google.Gemini.EmbedContentBatchStats? batchStats, - global::Google.Gemini.InputEmbedContentConfig? inputConfig, string? displayName, - global::Google.Gemini.EmbedContentBatchOutput? output, - string? createTime, + global::Google.Gemini.EmbedContentBatchStats? batchStats, + string? endTime, string? updateTime, + global::Google.Gemini.EmbedContentBatchOutput? output, + string? name, string? model, global::Google.Gemini.EmbedContentBatchState? state, string? priority, - string? endTime, - string? name) + global::Google.Gemini.InputEmbedContentConfig? inputConfig, + string? createTime) { - this.BatchStats = batchStats; - this.InputConfig = inputConfig; this.DisplayName = displayName; - this.Output = output; - this.CreateTime = createTime; + this.BatchStats = batchStats; + this.EndTime = endTime; this.UpdateTime = updateTime; + this.Output = output; + this.Name = name; this.Model = model; this.State = state; this.Priority = priority; - this.EndTime = endTime; - this.Name = name; + this.InputConfig = inputConfig; + this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs index f4312aaa..de6eaccb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatchOutput { + /// + /// The responses to the requests in the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] + public global::Google.Gemini.InlinedEmbedContentResponses? InlinedResponses { get; set; } + /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses @@ -15,12 +21,6 @@ public sealed partial class EmbedContentBatchOutput [global::System.Text.Json.Serialization.JsonPropertyName("responsesFile")] public string? ResponsesFile { get; set; } - /// - /// The responses to the requests in the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] - public global::Google.Gemini.InlinedEmbedContentResponses? InlinedResponses { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class EmbedContentBatchOutput /// /// Initializes a new instance of the class. /// + /// + /// The responses to the requests in the batch. + /// /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses /// - /// - /// The responses to the requests in the batch. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchOutput( - string? responsesFile, - global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses) + global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses, + string? responsesFile) { - this.ResponsesFile = responsesFile; this.InlinedResponses = inlinedResponses; + this.ResponsesFile = responsesFile; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs index caa6c2b6..4799b01e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class EmbedContentConfig { - /// - /// Optional. Whether to enable OCR for document content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] - public bool? DocumentOcr { get; set; } - - /// - /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] - public bool? AutoTruncate { get; set; } - /// /// Optional. The task type of the embedding. /// @@ -33,18 +21,30 @@ public sealed partial class EmbedContentConfig [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] public int? OutputDimensionality { get; set; } - /// - /// Optional. Whether to extract audio from video content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] - public bool? AudioTrackExtraction { get; set; } - /// /// Optional. The title for the text. /// [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } + /// + /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] + public bool? AutoTruncate { get; set; } + + /// + /// Optional. Whether to enable OCR for document content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] + public bool? DocumentOcr { get; set; } + + /// + /// Optional. Whether to extract audio from video content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] + public bool? AudioTrackExtraction { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -54,41 +54,41 @@ public sealed partial class EmbedContentConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. Whether to enable OCR for document content. - /// - /// - /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. - /// /// /// Optional. The task type of the embedding. /// /// /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// - /// - /// Optional. Whether to extract audio from video content. - /// /// /// Optional. The title for the text. /// + /// + /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. + /// + /// + /// Optional. Whether to enable OCR for document content. + /// + /// + /// Optional. Whether to extract audio from video content. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentConfig( - bool? documentOcr, - bool? autoTruncate, global::Google.Gemini.EmbedContentConfigTaskType? taskType, int? outputDimensionality, - bool? audioTrackExtraction, - string? title) + string? title, + bool? autoTruncate, + bool? documentOcr, + bool? audioTrackExtraction) { - this.DocumentOcr = documentOcr; - this.AutoTruncate = autoTruncate; this.TaskType = taskType; this.OutputDimensionality = outputDimensionality; - this.AudioTrackExtraction = audioTrackExtraction; this.Title = title; + this.AutoTruncate = autoTruncate; + this.DocumentOcr = documentOcr; + this.AudioTrackExtraction = audioTrackExtraction; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs index 85e9f0f1..d42e75ea 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs @@ -16,21 +16,6 @@ public sealed partial class EmbedContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("content")] public global::Google.Gemini.Content? Content { get; set; } - /// - /// Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter))] - [global::System.Obsolete("This property marked as deprecated.")] - public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } - - /// - /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - [global::System.Obsolete("This property marked as deprecated.")] - public int? OutputDimensionality { get; set; } - /// /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` /// @@ -50,6 +35,21 @@ public sealed partial class EmbedContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("embedContentConfig")] public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { get; set; } + /// + /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + [global::System.Obsolete("This property marked as deprecated.")] + public int? OutputDimensionality { get; set; } + + /// + /// Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter))] + [global::System.Obsolete("This property marked as deprecated.")] + public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs index 6b1b3f35..ced79a0c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class EmbedContentResponse { - /// - /// A list of floats representing an embedding. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("embedding")] - public global::Google.Gemini.ContentEmbedding? Embedding { get; set; } - /// /// Metadata on the usage of the embedding request. /// [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] public global::Google.Gemini.EmbeddingUsageMetadata? UsageMetadata { get; set; } + /// + /// A list of floats representing an embedding. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("embedding")] + public global::Google.Gemini.ContentEmbedding? Embedding { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class EmbedContentResponse /// /// Initializes a new instance of the class. /// - /// - /// A list of floats representing an embedding. - /// /// /// Metadata on the usage of the embedding request. /// + /// + /// A list of floats representing an embedding. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentResponse( - global::Google.Gemini.ContentEmbedding? embedding, - global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata) + global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata, + global::Google.Gemini.ContentEmbedding? embedding) { - this.Embedding = embedding; this.UsageMetadata = usageMetadata; + this.Embedding = embedding; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs index 20f3b809..ecd1c5d4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class EmbeddingUsageMetadata { /// - /// Output only. Number of tokens in the prompt.
+ /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] - public int? PromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenDetails")] + public global::System.Collections.Generic.IList? PromptTokenDetails { get; set; } /// - /// Output only. List of modalities that were processed in the request input.
+ /// Output only. Number of tokens in the prompt.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenDetails")] - public global::System.Collections.Generic.IList? PromptTokenDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class EmbeddingUsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Output only. Number of tokens in the prompt.
- /// Included only in responses - /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// + /// + /// Output only. Number of tokens in the prompt.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbeddingUsageMetadata( - int? promptTokenCount, - global::System.Collections.Generic.IList? promptTokenDetails) + global::System.Collections.Generic.IList? promptTokenDetails, + int? promptTokenCount) { - this.PromptTokenCount = promptTokenCount; this.PromptTokenDetails = promptTokenDetails; + this.PromptTokenCount = promptTokenCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs index 933c39ab..754618ac 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs @@ -9,38 +9,40 @@ namespace Google.Gemini public sealed partial class File { /// - /// Output only. The timestamp of when the `File` was created.
+ /// Output only. The download uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { get; set; } /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] + public byte[]? Sha256Hash { get; set; } /// - /// Output only. The uri of the `File`.
+ /// Output only. Size of the file in bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// Output only. MIME type of the file.
+ /// Output only. Processing state of the File.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] + public global::Google.Gemini.FileState? State { get; set; } /// /// Source of the File. @@ -50,17 +52,11 @@ public sealed partial class File public global::Google.Gemini.FileSource? Source { get; set; } /// - /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Metadata for a video `File`. @@ -69,39 +65,43 @@ public sealed partial class File public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } /// - /// Output only. The download uri of the `File`.
+ /// Output only. The uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] - public string? DownloadUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Output only. Processing state of the File.
- /// Included only in responses + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] - public global::Google.Gemini.FileState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Output only. MIME type of the file.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] - public byte[]? Sha256Hash { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } /// - /// Output only. Size of the file in bytes.
+ /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -112,90 +112,90 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// + /// + /// Output only. The download uri of the `File`.
+ /// Included only in responses + /// /// /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// + /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// - /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` - /// - /// - /// Output only. The uri of the `File`.
+ /// + /// Output only. Size of the file in bytes.
/// Included only in responses /// - /// - /// Output only. MIME type of the file.
+ /// + /// Output only. Processing state of the File.
/// Included only in responses /// /// /// Source of the File. /// - /// - /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" - /// - /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// + /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// /// /// Metadata for a video `File`. /// - /// - /// Output only. The download uri of the `File`.
+ /// + /// Output only. The uri of the `File`.
/// Included only in responses /// - /// - /// Output only. Processing state of the File.
- /// Included only in responses + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// + /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// + /// + /// Output only. MIME type of the file.
/// Included only in responses /// - /// - /// Output only. Size of the file in bytes.
+ /// + /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( + string? downloadUri, string? createTime, + byte[]? sha256Hash, + string? sizeBytes, + global::Google.Gemini.FileState? state, + global::Google.Gemini.FileSource? source, string? updateTime, - string? name, + global::Google.Gemini.VideoFileMetadata? videoMetadata, string? uri, + global::Google.Gemini.Status? error, + string? name, string? mimeType, - global::Google.Gemini.FileSource? source, - string? displayName, string? expirationTime, - global::Google.Gemini.VideoFileMetadata? videoMetadata, - string? downloadUri, - global::Google.Gemini.FileState? state, - byte[]? sha256Hash, - string? sizeBytes, - global::Google.Gemini.Status? error) + string? displayName) { + this.DownloadUri = downloadUri; this.CreateTime = createTime; + this.Sha256Hash = sha256Hash; + this.SizeBytes = sizeBytes; + this.State = state; + this.Source = source; this.UpdateTime = updateTime; - this.Name = name; + this.VideoMetadata = videoMetadata; this.Uri = uri; + this.Error = error; + this.Name = name; this.MimeType = mimeType; - this.Source = source; - this.DisplayName = displayName; this.ExpirationTime = expirationTime; - this.VideoMetadata = videoMetadata; - this.DownloadUri = downloadUri; - this.State = state; - this.Sha256Hash = sha256Hash; - this.SizeBytes = sizeBytes; - this.Error = error; + this.DisplayName = displayName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs index a5f4c4de..9d971733 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs @@ -14,18 +14,18 @@ public sealed partial class FileSearch [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStoreNames")] public global::System.Collections.Generic.IList? FileSearchStoreNames { get; set; } - /// - /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] - public string? MetadataFilter { get; set; } - /// /// Optional. The number of semantic retrieval chunks to retrieve. /// [global::System.Text.Json.Serialization.JsonPropertyName("topK")] public int? TopK { get; set; } + /// + /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] + public string? MetadataFilter { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class FileSearch /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// - /// - /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. - /// /// /// Optional. The number of semantic retrieval chunks to retrieve. /// + /// + /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( global::System.Collections.Generic.IList? fileSearchStoreNames, - string? metadataFilter, - int? topK) + int? topK, + string? metadataFilter) { this.FileSearchStoreNames = fileSearchStoreNames; - this.MetadataFilter = metadataFilter; this.TopK = topK; + this.MetadataFilter = metadataFilter; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs index f3e6458c..54d179e8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs @@ -9,17 +9,24 @@ namespace Google.Gemini public sealed partial class FileSearchStore { /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { get; set; } /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("embeddingModel")] + public string? EmbeddingModel { get; set; } + + /// + /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
@@ -28,6 +35,12 @@ public sealed partial class FileSearchStore [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] public string? ActiveDocumentsCount { get; set; } + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + /// /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses @@ -43,17 +56,11 @@ public sealed partial class FileSearchStore public string? Name { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] - public string? FailedDocumentsCount { get; set; } - - /// - /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("embeddingModel")] - public string? EmbeddingModel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// /// Output only. The Timestamp of when the `FileSearchStore` was created.
@@ -62,13 +69,6 @@ public sealed partial class FileSearchStore [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { get; set; } - /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -78,17 +78,24 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// Included only in responses /// - /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// + /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. + /// + /// + /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// /// /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// /// /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses @@ -97,44 +104,37 @@ public sealed partial class FileSearchStore /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// + /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// - /// - /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. - /// /// /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? displayName, - string? sizeBytes, + string? failedDocumentsCount, + string? embeddingModel, + string? updateTime, string? activeDocumentsCount, + string? displayName, string? pendingDocumentsCount, string? name, - string? failedDocumentsCount, - string? embeddingModel, - string? createTime, - string? updateTime) + string? sizeBytes, + string? createTime) { - this.DisplayName = displayName; - this.SizeBytes = sizeBytes; + this.FailedDocumentsCount = failedDocumentsCount; + this.EmbeddingModel = embeddingModel; + this.UpdateTime = updateTime; this.ActiveDocumentsCount = activeDocumentsCount; + this.DisplayName = displayName; this.PendingDocumentsCount = pendingDocumentsCount; this.Name = name; - this.FailedDocumentsCount = failedDocumentsCount; - this.EmbeddingModel = embeddingModel; + this.SizeBytes = sizeBytes; this.CreateTime = createTime; - this.UpdateTime = updateTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs index aeca76b6..90e693fe 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FunctionCall { - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Optional. The function parameters and values in JSON object format. /// @@ -26,6 +20,12 @@ public sealed partial class FunctionCall [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FunctionCall /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// /// /// Optional. The function parameters and values in JSON object format. /// /// /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. /// + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( - string? name, object? args, - string? id) + string? id, + string? name) { - this.Name = name; this.Args = args; this.Id = id; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs index fc09adc6..a63a654b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class FunctionDeclaration { /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. + /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] - public object? ParametersJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. @@ -27,12 +21,6 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter))] public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { get; set; } - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.Schema? Response { get; set; } - /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// @@ -40,10 +28,10 @@ public sealed partial class FunctionDeclaration public global::Google.Gemini.Schema? Parameters { get; set; } /// - /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.Schema? Response { get; set; } /// /// Required. A brief description of the function. @@ -51,6 +39,18 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonPropertyName("description")] public string? Description { get; set; } + /// + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] + public object? ParametersJsonSchema { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -60,46 +60,46 @@ public sealed partial class FunctionDeclaration /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. - /// - /// - /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. + /// + /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. /// /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// /// /// Required. A brief description of the function. /// + /// + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// + /// + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( - string? name, - object? parametersJsonSchema, + object? responseJsonSchema, global::Google.Gemini.FunctionDeclarationBehavior? behavior, - global::Google.Gemini.Schema? response, global::Google.Gemini.Schema? parameters, - object? responseJsonSchema, - string? description) + global::Google.Gemini.Schema? response, + string? description, + string? name, + object? parametersJsonSchema) { - this.Name = name; - this.ParametersJsonSchema = parametersJsonSchema; + this.ResponseJsonSchema = responseJsonSchema; this.Behavior = behavior; - this.Response = response; this.Parameters = parameters; - this.ResponseJsonSchema = responseJsonSchema; + this.Response = response; this.Description = description; + this.Name = name; + this.ParametersJsonSchema = parametersJsonSchema; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs index f441e160..dfca6f62 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs @@ -20,6 +20,12 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonPropertyName("parts")] public global::System.Collections.Generic.IList? Parts { get; set; } + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// @@ -27,10 +33,10 @@ public sealed partial class FunctionResponse public bool? WillContinue { get; set; } /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } /// /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. @@ -39,12 +45,6 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } - /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -60,35 +60,35 @@ public sealed partial class FunctionResponse /// /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - /// - /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. - /// /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// - /// - /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. + /// + /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// + /// + /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( object? response, global::System.Collections.Generic.IList? parts, - bool? willContinue, string? name, - global::Google.Gemini.FunctionResponseScheduling? scheduling, - string? id) + bool? willContinue, + string? id, + global::Google.Gemini.FunctionResponseScheduling? scheduling) { this.Response = response; this.Parts = parts; - this.WillContinue = willContinue; this.Name = name; - this.Scheduling = scheduling; + this.WillContinue = willContinue; this.Id = id; + this.Scheduling = scheduling; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs index 67e06945..bf77c750 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs @@ -9,35 +9,30 @@ namespace Google.Gemini public sealed partial class GenerateContentBatch { /// - /// Configures the input to the batch request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputConfig? InputConfig { get; set; } - - /// - /// Required. The user-defined name of this batch. + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// Output only. The state of the batch.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] + public global::Google.Gemini.GenerateContentBatchState? State { get; set; } /// - /// Stats about the batch. + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.BatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputConfig? InputConfig { get; set; } /// /// Output only. The time at which the batch was created.
@@ -47,38 +42,43 @@ public sealed partial class GenerateContentBatch public string? CreateTime { get; set; } /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.BatchStats? BatchStats { get; set; } /// - /// Output only. The state of the batch.
+ /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] - public global::Google.Gemini.GenerateContentBatchState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. The time at which the batch processing completed.
+ /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } + + /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,71 +89,71 @@ public sealed partial class GenerateContentBatch /// /// Initializes a new instance of the class. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Output only. The state of the batch.
+ /// Included only in responses + /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// /// /// Configures the input to the batch request. /// + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses + /// /// /// Required. The user-defined name of this batch. /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// /// Stats about the batch. /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses - /// - /// - /// Output only. The time at which the batch was created.
+ /// + /// Output only. The time at which the batch processing completed.
/// Included only in responses /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Output only. The state of the batch.
- /// Included only in responses - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - /// - /// Output only. The time at which the batch processing completed.
+ /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( + string? model, + global::Google.Gemini.GenerateContentBatchState? state, + string? priority, global::Google.Gemini.InputConfig? inputConfig, + string? createTime, string? displayName, - global::Google.Gemini.GenerateContentBatchOutput? output, global::Google.Gemini.BatchStats? batchStats, - string? name, - string? createTime, + string? endTime, string? updateTime, - string? model, - global::Google.Gemini.GenerateContentBatchState? state, - string? priority, - string? endTime) + global::Google.Gemini.GenerateContentBatchOutput? output, + string? name) { - this.InputConfig = inputConfig; - this.DisplayName = displayName; - this.Output = output; - this.BatchStats = batchStats; - this.Name = name; - this.CreateTime = createTime; - this.UpdateTime = updateTime; this.Model = model; this.State = state; this.Priority = priority; + this.InputConfig = inputConfig; + this.CreateTime = createTime; + this.DisplayName = displayName; + this.BatchStats = batchStats; this.EndTime = endTime; + this.UpdateTime = updateTime; + this.Output = output; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs index bb020165..c34eb311 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GenerateContentBatchOutput { + /// + /// The responses to the requests in the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] + public global::Google.Gemini.InlinedResponses? InlinedResponses { get; set; } + /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses @@ -15,12 +21,6 @@ public sealed partial class GenerateContentBatchOutput [global::System.Text.Json.Serialization.JsonPropertyName("responsesFile")] public string? ResponsesFile { get; set; } - /// - /// The responses to the requests in the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] - public global::Google.Gemini.InlinedResponses? InlinedResponses { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class GenerateContentBatchOutput /// /// Initializes a new instance of the class. /// + /// + /// The responses to the requests in the batch. + /// /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses /// - /// - /// The responses to the requests in the batch. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatchOutput( - string? responsesFile, - global::Google.Gemini.InlinedResponses? inlinedResponses) + global::Google.Gemini.InlinedResponses? inlinedResponses, + string? responsesFile) { - this.ResponsesFile = responsesFile; this.InlinedResponses = inlinedResponses; + this.ResponsesFile = responsesFile; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs index f0428672..5d08644e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class GenerateContentRequest { /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] + public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. @@ -20,12 +20,6 @@ public sealed partial class GenerateContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] public global::System.Collections.Generic.IList? SafetySettings { get; set; } - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] - public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } - /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -39,10 +33,17 @@ public sealed partial class GenerateContentRequest public string? Model { get; set; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] + public string? CachedContent { get; set; } + + /// + /// Optional. The service tier of the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] + public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. @@ -51,17 +52,16 @@ public sealed partial class GenerateContentRequest public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] - public string? CachedContent { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// - /// Optional. The service tier of the request. + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] - public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. @@ -78,33 +78,33 @@ public sealed partial class GenerateContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -112,26 +112,26 @@ public sealed partial class GenerateContentRequest [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( - global::System.Collections.Generic.IList? tools, - global::System.Collections.Generic.IList? safetySettings, global::Google.Gemini.GenerationConfig? generationConfig, + global::System.Collections.Generic.IList? safetySettings, bool? store, string? model, - global::Google.Gemini.ToolConfig? toolConfig, - global::System.Collections.Generic.IList? contents, string? cachedContent, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, + global::System.Collections.Generic.IList? contents, + global::Google.Gemini.ToolConfig? toolConfig, + global::System.Collections.Generic.IList? tools, global::Google.Gemini.Content? systemInstruction) { - this.Tools = tools; - this.SafetySettings = safetySettings; this.GenerationConfig = generationConfig; + this.SafetySettings = safetySettings; this.Store = store; this.Model = model; - this.ToolConfig = toolConfig; - this.Contents = contents; this.CachedContent = cachedContent; this.ServiceTier = serviceTier; + this.Contents = contents; + this.ToolConfig = toolConfig; + this.Tools = tools; this.SystemInstruction = systemInstruction; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs index f1ed8c2a..729ccfb5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs @@ -9,11 +9,10 @@ namespace Google.Gemini public sealed partial class GenerateContentResponse { /// - /// Output only. The model version used to generate the response.
- /// Included only in responses + /// Metadata on the generation request's token usage. /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] - public string? ModelVersion { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } /// /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. @@ -21,12 +20,6 @@ public sealed partial class GenerateContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } - /// - /// Metadata on the generation request's token usage. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } - /// /// Candidate responses from the model. /// @@ -39,6 +32,13 @@ public sealed partial class GenerateContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } + /// + /// Output only. The model version used to generate the response.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] + public string? ModelVersion { get; set; } + /// /// Output only. response_id is used to identify each response.
/// Included only in responses @@ -55,22 +55,22 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// - /// - /// Output only. The model version used to generate the response.
- /// Included only in responses + /// + /// Metadata on the generation request's token usage. /// /// /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// - /// - /// Metadata on the generation request's token usage. - /// /// /// Candidate responses from the model. /// /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// + /// + /// Output only. The model version used to generate the response.
+ /// Included only in responses + /// /// /// Output only. response_id is used to identify each response.
/// Included only in responses @@ -79,18 +79,18 @@ public sealed partial class GenerateContentResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( - string? modelVersion, - global::Google.Gemini.ModelStatus? modelStatus, global::Google.Gemini.UsageMetadata? usageMetadata, + global::Google.Gemini.ModelStatus? modelStatus, global::System.Collections.Generic.IList? candidates, global::Google.Gemini.PromptFeedback? promptFeedback, + string? modelVersion, string? responseId) { - this.ModelVersion = modelVersion; - this.ModelStatus = modelStatus; this.UsageMetadata = usageMetadata; + this.ModelStatus = modelStatus; this.Candidates = candidates; this.PromptFeedback = promptFeedback; + this.ModelVersion = modelVersion; this.ResponseId = responseId; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs index c0eca73d..a2ed91a5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs @@ -8,18 +8,24 @@ namespace Google.Gemini /// public sealed partial class GeneratedFile { - /// - /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// MIME type of the generatedFile. /// [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + + /// + /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Output only. The state of the GeneratedFile.
/// Included only in responses @@ -28,12 +34,6 @@ public sealed partial class GeneratedFile [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter))] public global::Google.Gemini.GeneratedFileState? State { get; set; } - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -43,32 +43,32 @@ public sealed partial class GeneratedFile /// /// Initializes a new instance of the class. /// - /// - /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` - /// /// /// MIME type of the generatedFile. /// + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// + /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` + /// /// /// Output only. The state of the GeneratedFile.
/// Included only in responses /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GeneratedFile( - string? name, string? mimeType, - global::Google.Gemini.GeneratedFileState? state, - global::Google.Gemini.Status? error) + global::Google.Gemini.Status? error, + string? name, + global::Google.Gemini.GeneratedFileState? state) { - this.Name = name; this.MimeType = mimeType; - this.State = state; this.Error = error; + this.Name = name; + this.State = state; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs index f798846c..13029c1d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs @@ -9,22 +9,22 @@ namespace Google.Gemini public sealed partial class GenerationConfig { /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. + /// Config for image generation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] - public float? FrequencyPenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { get; set; } /// - /// Optional. If true, export the logprobs results in response. + /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] - public bool? ResponseLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. @@ -33,16 +33,28 @@ public sealed partial class GenerationConfig public int? TopK { get; set; } /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// Optional. If true, export the logprobs results in response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] + public bool? ResponseLogprobs { get; set; } /// - /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] - public int? CandidateCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] + public bool? EnableEnhancedCivicAnswers { get; set; } + + /// + /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] + public global::System.Collections.Generic.IList? StopSequences { get; set; } + + /// + /// Config for speech generation and transcription. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } /// /// Optional. If specified, the media resolution specified will be used. @@ -52,40 +64,34 @@ public sealed partial class GenerationConfig public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] - public float? PresencePenalty { get; set; } - - /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] + public int? CandidateCount { get; set; } /// - /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. + /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] - public string? ResponseMimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] + public float? FrequencyPenalty { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Config for thinking features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] + public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] - public bool? EnableEnhancedCivicAnswers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] + public int? MaxOutputTokens { get; set; } /// - /// Config for speech generation and transcription. + /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. /// - [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] + public float? PresencePenalty { get; set; } /// /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. @@ -94,46 +100,46 @@ public sealed partial class GenerationConfig public int? Logprobs { get; set; } /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseFormat")] + public global::Google.Gemini.ResponseFormatConfig? ResponseFormat { get; set; } /// - /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] + public string? ResponseMimeType { get; set; } /// - /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseFormat")] - public global::Google.Gemini.ResponseFormatConfig? ResponseFormat { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// - /// Config for image generation features. + /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Config for thinking features. + /// Config for translation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] - public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("translationConfig")] + public global::Google.Gemini.TranslationConfig? TranslationConfig { get; set; } /// - /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] - public global::System.Collections.Generic.IList? StopSequences { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { get; set; } /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] + public global::Google.Gemini.Schema? ResponseSchema { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -144,116 +150,121 @@ public sealed partial class GenerationConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. + /// + /// Config for image generation features. /// - /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - /// - /// Optional. If true, export the logprobs results in response. + /// + /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// /// /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// + /// Optional. If true, export the logprobs results in response. /// - /// - /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) + /// + /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// + /// + /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// + /// + /// Config for speech generation and transcription. /// /// /// Optional. If specified, the media resolution specified will be used. /// - /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. - /// - /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// + /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - /// - /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. + /// + /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// Config for thinking features. /// - /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// - /// - /// Config for speech generation and transcription. + /// + /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. /// /// /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// - /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. - /// - /// - /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. - /// /// /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. /// - /// - /// Config for image generation features. - /// - /// - /// Config for thinking features. - /// - /// - /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// + /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// /// /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// + /// + /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// + /// + /// Config for translation features. + /// + /// + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - float? frequencyPenalty, - global::System.Collections.Generic.IList? responseModalities, - bool? responseLogprobs, - int? topK, + global::Google.Gemini.ImageConfig? imageConfig, int? seed, - int? candidateCount, - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, - float? presencePenalty, - float? temperature, - string? responseMimeType, - global::Google.Gemini.Schema? responseSchema, + float? topP, + int? topK, + bool? responseLogprobs, bool? enableEnhancedCivicAnswers, + global::System.Collections.Generic.IList? stopSequences, global::Google.Gemini.SpeechConfig? speechConfig, - int? logprobs, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, + int? candidateCount, + float? frequencyPenalty, + global::Google.Gemini.ThinkingConfig? thinkingConfig, int? maxOutputTokens, - float? topP, + float? presencePenalty, + int? logprobs, global::Google.Gemini.ResponseFormatConfig? responseFormat, - global::Google.Gemini.ImageConfig? imageConfig, - global::Google.Gemini.ThinkingConfig? thinkingConfig, - global::System.Collections.Generic.IList? stopSequences, - object? responseJsonSchema) + string? responseMimeType, + object? responseJsonSchema, + float? temperature, + global::Google.Gemini.TranslationConfig? translationConfig, + global::System.Collections.Generic.IList? responseModalities, + global::Google.Gemini.Schema? responseSchema) { - this.FrequencyPenalty = frequencyPenalty; - this.ResponseModalities = responseModalities; - this.ResponseLogprobs = responseLogprobs; - this.TopK = topK; + this.ImageConfig = imageConfig; this.Seed = seed; - this.CandidateCount = candidateCount; - this.MediaResolution = mediaResolution; - this.PresencePenalty = presencePenalty; - this.Temperature = temperature; - this.ResponseMimeType = responseMimeType; - this.ResponseSchema = responseSchema; + this.TopP = topP; + this.TopK = topK; + this.ResponseLogprobs = responseLogprobs; this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; + this.StopSequences = stopSequences; this.SpeechConfig = speechConfig; - this.Logprobs = logprobs; + this.MediaResolution = mediaResolution; + this.CandidateCount = candidateCount; + this.FrequencyPenalty = frequencyPenalty; + this.ThinkingConfig = thinkingConfig; this.MaxOutputTokens = maxOutputTokens; - this.TopP = topP; + this.PresencePenalty = presencePenalty; + this.Logprobs = logprobs; this.ResponseFormat = responseFormat; - this.ImageConfig = imageConfig; - this.ThinkingConfig = thinkingConfig; - this.StopSequences = stopSequences; + this.ResponseMimeType = responseMimeType; this.ResponseJsonSchema = responseJsonSchema; + this.Temperature = temperature; + this.TranslationConfig = translationConfig; + this.ResponseModalities = responseModalities; + this.ResponseSchema = responseSchema; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs index 65957b85..f3d3924c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs @@ -14,6 +14,12 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } + /// + /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] + public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } + /// /// Segment of the content. /// @@ -27,12 +33,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] public global::System.Collections.Generic.IList? RenderedParts { get; set; } - /// - /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] - public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -45,6 +45,9 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). /// + /// + /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. + /// /// /// Segment of the content. /// @@ -52,22 +55,19 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
/// Included only in responses /// - /// - /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( global::System.Collections.Generic.IList? groundingChunkIndices, + global::System.Collections.Generic.IList? confidenceScores, global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, - global::System.Collections.Generic.IList? renderedParts, - global::System.Collections.Generic.IList? confidenceScores) + global::System.Collections.Generic.IList? renderedParts) { this.GroundingChunkIndices = groundingChunkIndices; + this.ConfidenceScores = confidenceScores; this.Segment = segment; this.RenderedParts = renderedParts; - this.ConfidenceScores = confidenceScores; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs index eb519ebe..b3feedae 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaSegment { - /// - /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] - public int? StartIndex { get; set; } - /// /// The index of a Part object within its parent Content object. /// [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] public int? PartIndex { get; set; } + /// + /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] + public int? StartIndex { get; set; } + /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// @@ -41,12 +41,12 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// Initializes a new instance of the class. /// - /// - /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. - /// /// /// The index of a Part object within its parent Content object. /// + /// + /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. + /// /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// @@ -57,13 +57,13 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( - int? startIndex, int? partIndex, + int? startIndex, int? endIndex, string? text) { - this.StartIndex = startIndex; this.PartIndex = partIndex; + this.StartIndex = startIndex; this.EndIndex = endIndex; this.Text = text; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs index 72c07004..74828ec0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GoogleSearch { - /// - /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("timeRangeFilter")] - public global::Google.Gemini.Interval? TimeRangeFilter { get; set; } - /// /// Different types of search that can be enabled on the GoogleSearch tool. /// [global::System.Text.Json.Serialization.JsonPropertyName("searchTypes")] public global::Google.Gemini.SearchTypes? SearchTypes { get; set; } + /// + /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("timeRangeFilter")] + public global::Google.Gemini.Interval? TimeRangeFilter { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class GoogleSearch /// /// Initializes a new instance of the class. /// - /// - /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. - /// /// /// Different types of search that can be enabled on the GoogleSearch tool. /// + /// + /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleSearch( - global::Google.Gemini.Interval? timeRangeFilter, - global::Google.Gemini.SearchTypes? searchTypes) + global::Google.Gemini.SearchTypes? searchTypes, + global::Google.Gemini.Interval? timeRangeFilter) { - this.TimeRangeFilter = timeRangeFilter; this.SearchTypes = searchTypes; + this.TimeRangeFilter = timeRangeFilter; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs index 77459271..7e865177 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class GroundingChunk { - /// - /// Chunk from image search. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("image")] - public global::Google.Gemini.Image? Image { get; set; } - - /// - /// Chunk from the web. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("web")] - public global::Google.Gemini.Web? Web { get; set; } - /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// @@ -32,6 +20,18 @@ public sealed partial class GroundingChunk [global::System.Text.Json.Serialization.JsonPropertyName("retrievedContext")] public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } + /// + /// Chunk from the web. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("web")] + public global::Google.Gemini.Web? Web { get; set; } + + /// + /// Chunk from image search. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("image")] + public global::Google.Gemini.Image? Image { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class GroundingChunk /// /// Initializes a new instance of the class. /// - /// - /// Chunk from image search. - /// - /// - /// Chunk from the web. - /// /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// /// /// Chunk from context retrieved by the file search tool. /// + /// + /// Chunk from the web. + /// + /// + /// Chunk from image search. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( - global::Google.Gemini.Image? image, - global::Google.Gemini.Web? web, global::Google.Gemini.Maps? maps, - global::Google.Gemini.RetrievedContext? retrievedContext) + global::Google.Gemini.RetrievedContext? retrievedContext, + global::Google.Gemini.Web? web, + global::Google.Gemini.Image? image) { - this.Image = image; - this.Web = web; this.Maps = maps; this.RetrievedContext = retrievedContext; + this.Web = web; + this.Image = image; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs index 7ea8e4c7..833e31c1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class GroundingChunkCustomMetadata { - /// - /// A list of string values. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.GroundingChunkStringList? StringListValue { get; set; } - /// /// The key of the metadata. /// @@ -26,6 +20,12 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] public string? StringValue { get; set; } + /// + /// A list of string values. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] + public global::Google.Gemini.GroundingChunkStringList? StringListValue { get; set; } + /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// @@ -41,15 +41,15 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// A list of string values. - /// /// /// The key of the metadata. /// /// /// Optional. The string value of the metadata. /// + /// + /// A list of string values. + /// /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// @@ -57,14 +57,14 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( - global::Google.Gemini.GroundingChunkStringList? stringListValue, string? key, string? stringValue, + global::Google.Gemini.GroundingChunkStringList? stringListValue, float? numericValue) { - this.StringListValue = stringListValue; this.Key = key; this.StringValue = stringValue; + this.StringListValue = stringListValue; this.NumericValue = numericValue; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs index a62675f3..17fc68e5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs @@ -9,28 +9,28 @@ namespace Google.Gemini public sealed partial class GroundingMetadata { /// - /// List of grounding support. + /// Image search queries used for grounding. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] - public global::System.Collections.Generic.IList? GroundingSupports { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] + public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } /// - /// Metadata related to retrieval in the grounding flow. + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] - public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] + public global::System.Collections.Generic.IList? GroundingChunks { get; set; } /// - /// Web search queries for the following-up web search. + /// Google search entry point. /// - [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] - public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] + public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// Metadata related to retrieval in the grounding flow. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] - public global::System.Collections.Generic.IList? GroundingChunks { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] + public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } /// /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. @@ -39,16 +39,16 @@ public sealed partial class GroundingMetadata public string? GoogleMapsWidgetContextToken { get; set; } /// - /// Google search entry point. + /// List of grounding support. /// - [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] - public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] + public global::System.Collections.Generic.IList? GroundingSupports { get; set; } /// - /// Image search queries used for grounding. + /// Web search queries for the following-up web search. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] - public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] + public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,46 +59,46 @@ public sealed partial class GroundingMetadata /// /// Initializes a new instance of the class. /// - /// - /// List of grounding support. - /// - /// - /// Metadata related to retrieval in the grounding flow. - /// - /// - /// Web search queries for the following-up web search. + /// + /// Image search queries used for grounding. /// /// /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. /// + /// + /// Google search entry point. + /// + /// + /// Metadata related to retrieval in the grounding flow. + /// /// /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. /// - /// - /// Google search entry point. + /// + /// List of grounding support. /// - /// - /// Image search queries used for grounding. + /// + /// Web search queries for the following-up web search. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::System.Collections.Generic.IList? groundingSupports, - global::Google.Gemini.RetrievalMetadata? retrievalMetadata, - global::System.Collections.Generic.IList? webSearchQueries, + global::System.Collections.Generic.IList? imageSearchQueries, global::System.Collections.Generic.IList? groundingChunks, - string? googleMapsWidgetContextToken, global::Google.Gemini.SearchEntryPoint? searchEntryPoint, - global::System.Collections.Generic.IList? imageSearchQueries) + global::Google.Gemini.RetrievalMetadata? retrievalMetadata, + string? googleMapsWidgetContextToken, + global::System.Collections.Generic.IList? groundingSupports, + global::System.Collections.Generic.IList? webSearchQueries) { - this.GroundingSupports = groundingSupports; - this.RetrievalMetadata = retrievalMetadata; - this.WebSearchQueries = webSearchQueries; + this.ImageSearchQueries = imageSearchQueries; this.GroundingChunks = groundingChunks; - this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; this.SearchEntryPoint = searchEntryPoint; - this.ImageSearchQueries = imageSearchQueries; + this.RetrievalMetadata = retrievalMetadata; + this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; + this.GroundingSupports = groundingSupports; + this.WebSearchQueries = webSearchQueries; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs index 379c7e37..3ec5c19d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs @@ -14,6 +14,12 @@ public sealed partial class Hyperparameters [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] public float? LearningRate { get; set; } + /// + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] + public float? LearningRateMultiplier { get; set; } + /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. /// @@ -26,12 +32,6 @@ public sealed partial class Hyperparameters [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] public int? BatchSize { get; set; } - /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] - public float? LearningRateMultiplier { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,28 +44,28 @@ public sealed partial class Hyperparameters /// /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// + /// + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. /// /// /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// - /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( float? learningRate, + float? learningRateMultiplier, int? epochCount, - int? batchSize, - float? learningRateMultiplier) + int? batchSize) { this.LearningRate = learningRate; + this.LearningRateMultiplier = learningRateMultiplier; this.EpochCount = epochCount; this.BatchSize = batchSize; - this.LearningRateMultiplier = learningRateMultiplier; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs index 658fd788..1d34f5b3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class Image { /// - /// The web page URI for attribution. + /// The root domain of the web page that the image is from, e.g. "example.com". /// - [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] - public string? SourceUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("domain")] + public string? Domain { get; set; } /// - /// The image asset URL. + /// The web page URI for attribution. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] - public string? ImageUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] + public string? SourceUri { get; set; } /// /// The title of the web page that the image is from. @@ -27,10 +27,10 @@ public sealed partial class Image public string? Title { get; set; } /// - /// The root domain of the web page that the image is from, e.g. "example.com". + /// The image asset URL. /// - [global::System.Text.Json.Serialization.JsonPropertyName("domain")] - public string? Domain { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] + public string? ImageUri { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class Image /// /// Initializes a new instance of the class. /// + /// + /// The root domain of the web page that the image is from, e.g. "example.com". + /// /// /// The web page URI for attribution. /// - /// - /// The image asset URL. - /// /// /// The title of the web page that the image is from. /// - /// - /// The root domain of the web page that the image is from, e.g. "example.com". + /// + /// The image asset URL. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( + string? domain, string? sourceUri, - string? imageUri, string? title, - string? domain) + string? imageUri) { + this.Domain = domain; this.SourceUri = sourceUri; - this.ImageUri = imageUri; this.Title = title; - this.Domain = domain; + this.ImageUri = imageUri; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs index 22e05cb4..5ee4d1e3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs @@ -16,11 +16,11 @@ public sealed partial class ImageResponseFormat public global::Google.Gemini.ImageResponseFormatDelivery? Delivery { get; set; } /// - /// Optional. The size of the image output. + /// Optional. The aspect ratio for the image output. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSize")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter))] - public global::Google.Gemini.ImageResponseFormatImageSize? ImageSize { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("aspectRatio")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter))] + public global::Google.Gemini.ImageResponseFormatAspectRatio? AspectRatio { get; set; } /// /// Optional. The MIME type of the image output. @@ -30,11 +30,11 @@ public sealed partial class ImageResponseFormat public global::Google.Gemini.ImageResponseFormatMimeType? MimeType { get; set; } /// - /// Optional. The aspect ratio for the image output. + /// Optional. The size of the image output. /// - [global::System.Text.Json.Serialization.JsonPropertyName("aspectRatio")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter))] - public global::Google.Gemini.ImageResponseFormatAspectRatio? AspectRatio { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageSize")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter))] + public global::Google.Gemini.ImageResponseFormatImageSize? ImageSize { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -48,28 +48,28 @@ public sealed partial class ImageResponseFormat /// /// Optional. The delivery mode for the image output. /// - /// - /// Optional. The size of the image output. + /// + /// Optional. The aspect ratio for the image output. /// /// /// Optional. The MIME type of the image output. /// - /// - /// Optional. The aspect ratio for the image output. + /// + /// Optional. The size of the image output. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImageResponseFormat( global::Google.Gemini.ImageResponseFormatDelivery? delivery, - global::Google.Gemini.ImageResponseFormatImageSize? imageSize, + global::Google.Gemini.ImageResponseFormatAspectRatio? aspectRatio, global::Google.Gemini.ImageResponseFormatMimeType? mimeType, - global::Google.Gemini.ImageResponseFormatAspectRatio? aspectRatio) + global::Google.Gemini.ImageResponseFormatImageSize? imageSize) { this.Delivery = delivery; - this.ImageSize = imageSize; - this.MimeType = mimeType; this.AspectRatio = aspectRatio; + this.MimeType = mimeType; + this.ImageSize = imageSize; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs index 5cc69875..4f2df00f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class ImportFileRequest { /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// Custom metadata to be associated with the file. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] - public string? FileName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto @@ -21,10 +21,10 @@ public sealed partial class ImportFileRequest public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } /// - /// Custom metadata to be associated with the file. + /// Required. The name of the `File` to import. Example: `files/abc-123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class ImportFileRequest /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// Custom metadata to be associated with the file. /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// - /// - /// Custom metadata to be associated with the file. + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImportFileRequest( - string? fileName, + global::System.Collections.Generic.IList? customMetadata, global::Google.Gemini.ChunkingConfig? chunkingConfig, - global::System.Collections.Generic.IList? customMetadata) + string? fileName) { - this.FileName = fileName; - this.ChunkingConfig = chunkingConfig; this.CustomMetadata = customMetadata; + this.ChunkingConfig = chunkingConfig; + this.FileName = fileName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs index 2d4eb0c3..8aca0f0e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentRequest { - /// - /// Request containing the `Content` for the model to embed. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("request")] - public global::Google.Gemini.EmbedContentRequest? Request { get; set; } - /// /// Optional. The metadata to be associated with the request. /// [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// Request containing the `Content` for the model to embed. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("request")] + public global::Google.Gemini.EmbedContentRequest? Request { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedEmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Request containing the `Content` for the model to embed. - /// /// /// Optional. The metadata to be associated with the request. /// + /// + /// Request containing the `Content` for the model to embed. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentRequest( - global::Google.Gemini.EmbedContentRequest? request, - object? metadata) + object? metadata, + global::Google.Gemini.EmbedContentRequest? request) { - this.Request = request; this.Metadata = metadata; + this.Request = request; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs index 3217b11a..c4006720 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentResponse { - /// - /// The response to an `EmbedContentRequest`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.EmbedContentResponse? Response { get; set; } - /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } + /// + /// The response to an `EmbedContentRequest`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.EmbedContentResponse? Response { get; set; } + /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -36,12 +36,12 @@ public sealed partial class InlinedEmbedContentResponse /// /// Initializes a new instance of the class. /// - /// - /// The response to an `EmbedContentRequest`. - /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// + /// + /// The response to an `EmbedContentRequest`. + /// /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -50,12 +50,12 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentResponse( - global::Google.Gemini.EmbedContentResponse? response, global::Google.Gemini.Status? error, + global::Google.Gemini.EmbedContentResponse? response, object? metadata) { - this.Response = response; this.Error = error; + this.Response = response; this.Metadata = metadata; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs index f68fe348..0624bf17 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedRequest { - /// - /// Request to generate a completion from the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("request")] - public global::Google.Gemini.GenerateContentRequest? Request { get; set; } - /// /// Optional. The metadata to be associated with the request. /// [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// Request to generate a completion from the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("request")] + public global::Google.Gemini.GenerateContentRequest? Request { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedRequest /// /// Initializes a new instance of the class. /// - /// - /// Request to generate a completion from the model. - /// /// /// Optional. The metadata to be associated with the request. /// + /// + /// Request to generate a completion from the model. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedRequest( - global::Google.Gemini.GenerateContentRequest? request, - object? metadata) + object? metadata, + global::Google.Gemini.GenerateContentRequest? request) { - this.Request = request; this.Metadata = metadata; + this.Request = request; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs index 85a0a538..f3ca3ee4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedResponse { - /// - /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.GenerateContentResponse? Response { get; set; } - /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } + /// + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.GenerateContentResponse? Response { get; set; } + /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -36,12 +36,12 @@ public sealed partial class InlinedResponse /// /// Initializes a new instance of the class. /// - /// - /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. - /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// + /// + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -50,12 +50,12 @@ public sealed partial class InlinedResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedResponse( - global::Google.Gemini.GenerateContentResponse? response, global::Google.Gemini.Status? error, + global::Google.Gemini.GenerateContentResponse? response, object? metadata) { - this.Response = response; this.Error = error; + this.Response = response; this.Metadata = metadata; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs index 736a29fe..3d0f91ff 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InputConfig { - /// - /// The requests to be processed in the batch if provided as part of the batch creation request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("requests")] - public global::Google.Gemini.InlinedRequests? Requests { get; set; } - /// /// The name of the `File` containing the input requests. /// [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] public string? FileName { get; set; } + /// + /// The requests to be processed in the batch if provided as part of the batch creation request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("requests")] + public global::Google.Gemini.InlinedRequests? Requests { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InputConfig /// /// Initializes a new instance of the class. /// - /// - /// The requests to be processed in the batch if provided as part of the batch creation request. - /// /// /// The name of the `File` containing the input requests. /// + /// + /// The requests to be processed in the batch if provided as part of the batch creation request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InputConfig( - global::Google.Gemini.InlinedRequests? requests, - string? fileName) + string? fileName, + global::Google.Gemini.InlinedRequests? requests) { - this.Requests = requests; this.FileName = fileName; + this.Requests = requests; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs index afe10fd0..5ce34e69 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Interval { - /// - /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } - /// /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. /// [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] public string? StartTime { get; set; } + /// + /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Interval /// /// Initializes a new instance of the class. /// - /// - /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. - /// /// /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. /// + /// + /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Interval( - string? endTime, - string? startTime) + string? startTime, + string? endTime) { - this.EndTime = endTime; this.StartTime = startTime; + this.EndTime = endTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs index 6dfb4ee0..06dc9344 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListCachedContentsResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// List of cached contents. /// [global::System.Text.Json.Serialization.JsonPropertyName("cachedContents")] public global::System.Collections.Generic.IList? CachedContents { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListCachedContentsResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. - /// /// /// List of cached contents. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListCachedContentsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? cachedContents) + global::System.Collections.Generic.IList? cachedContents, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.CachedContents = cachedContents; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs index 305a1062..ba11d1ec 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListDocumentsResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned `Document`s. /// [global::System.Text.Json.Serialization.JsonPropertyName("documents")] public global::System.Collections.Generic.IList? Documents { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListDocumentsResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// /// /// The returned `Document`s. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListDocumentsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? documents) + global::System.Collections.Generic.IList? documents, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Documents = documents; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs index ff8c35df..5d55562c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListGeneratedFilesResponse { - /// - /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The list of `GeneratedFile`s. /// [global::System.Text.Json.Serialization.JsonPropertyName("generatedFiles")] public global::System.Collections.Generic.IList? GeneratedFiles { get; set; } + /// + /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListGeneratedFilesResponse /// /// Initializes a new instance of the class. /// - /// - /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. - /// /// /// The list of `GeneratedFile`s. /// + /// + /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListGeneratedFilesResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? generatedFiles) + global::System.Collections.Generic.IList? generatedFiles, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.GeneratedFiles = generatedFiles; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs index 3c572fa7..920b8335 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListTunedModelsResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned Models. /// [global::System.Text.Json.Serialization.JsonPropertyName("tunedModels")] public global::System.Collections.Generic.IList? TunedModels { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListTunedModelsResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// /// /// The returned Models. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListTunedModelsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? tunedModels) + global::System.Collections.Generic.IList? tunedModels, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.TunedModels = tunedModels; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs index 926abc0e..30d9cd80 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class LogprobsResult { + /// + /// Length = total number of decoding steps. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topCandidates")] + public global::System.Collections.Generic.IList? TopCandidates { get; set; } + /// /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. /// @@ -20,12 +26,6 @@ public sealed partial class LogprobsResult [global::System.Text.Json.Serialization.JsonPropertyName("logProbabilitySum")] public float? LogProbabilitySum { get; set; } - /// - /// Length = total number of decoding steps. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topCandidates")] - public global::System.Collections.Generic.IList? TopCandidates { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class LogprobsResult /// /// Initializes a new instance of the class. /// + /// + /// Length = total number of decoding steps. + /// /// /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. /// /// /// Sum of log probabilities for all tokens. /// - /// - /// Length = total number of decoding steps. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResult( + global::System.Collections.Generic.IList? topCandidates, global::System.Collections.Generic.IList? chosenCandidates, - float? logProbabilitySum, - global::System.Collections.Generic.IList? topCandidates) + float? logProbabilitySum) { + this.TopCandidates = topCandidates; this.ChosenCandidates = chosenCandidates; this.LogProbabilitySum = logProbabilitySum; - this.TopCandidates = topCandidates; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index f52a493c..6154061d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs @@ -14,18 +14,18 @@ public sealed partial class LogprobsResultCandidate [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] public int? TokenId { get; set; } - /// - /// The candidate’s token string value. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("token")] - public string? Token { get; set; } - /// /// The candidate's log probability. /// [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] public float? LogProbability { get; set; } + /// + /// The candidate’s token string value. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("token")] + public string? Token { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class LogprobsResultCandidate /// /// The candidate’s token id value. /// - /// - /// The candidate’s token string value. - /// /// /// The candidate's log probability. /// + /// + /// The candidate’s token string value. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( int? tokenId, - string? token, - float? logProbability) + float? logProbability, + string? token) { this.TokenId = tokenId; - this.Token = token; this.LogProbability = logProbability; + this.Token = token; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs index de75c5af..63dcd47f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class Maps { /// - /// Title of the place. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - - /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] - public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] + public string? PlaceId { get; set; } /// /// URI reference of the place. @@ -27,10 +21,10 @@ public sealed partial class Maps public string? Uri { get; set; } /// - /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. + /// Title of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] - public string? PlaceId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Text description of the place answer. @@ -38,6 +32,12 @@ public sealed partial class Maps [global::System.Text.Json.Serialization.JsonPropertyName("text")] public string? Text { get; set; } + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] + public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class Maps /// /// Initializes a new instance of the class. /// - /// - /// Title of the place. - /// - /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// /// /// URI reference of the place. /// - /// - /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. + /// + /// Title of the place. /// /// /// Text description of the place answer. /// + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( - string? title, - global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, - string? uri, string? placeId, - string? text) + string? uri, + string? title, + string? text, + global::Google.Gemini.PlaceAnswerSources? placeAnswerSources) { - this.Title = title; - this.PlaceAnswerSources = placeAnswerSources; - this.Uri = uri; this.PlaceId = placeId; + this.Uri = uri; + this.Title = title; this.Text = text; + this.PlaceAnswerSources = placeAnswerSources; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs index c86005c7..3f75b48f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs @@ -9,64 +9,58 @@ namespace Google.Gemini public sealed partial class Model { /// - /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } - - /// - /// A short description of the model. + /// Whether the model supports thinking. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] + public bool? Thinking { get; set; } /// - /// Maximum number of output tokens available for this model. + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] - public int? OutputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { get; set; } /// - /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Whether the model supports thinking. + /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] - public bool? Thinking { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// The maximum temperature this model can use. + /// A short description of the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] - public float? MaxTemperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] - public string? BaseModelId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` + /// Maximum number of output tokens available for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { get; set; } /// /// Maximum number of input tokens allowed for this model. @@ -75,16 +69,22 @@ public sealed partial class Model public int? InputTokenLimit { get; set; } /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] + public string? BaseModelId { get; set; } + + /// + /// The maximum temperature this model can use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -95,76 +95,76 @@ public sealed partial class Model /// /// Initializes a new instance of the class. /// - /// - /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. + /// + /// Whether the model supports thinking. + /// + /// + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// + /// + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// + /// + /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// + /// + /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` /// /// /// A short description of the model. /// - /// - /// Maximum number of output tokens available for this model. - /// /// /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// - /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) - /// - /// - /// Whether the model supports thinking. + /// + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - /// - /// The maximum temperature this model can use. + /// + /// Maximum number of output tokens available for this model. /// - /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// + /// Maximum number of input tokens allowed for this model. /// /// /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - /// - /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` - /// - /// - /// Maximum number of input tokens allowed for this model. - /// - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// + /// The maximum temperature this model can use. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - int? topK, - string? description, - int? outputTokenLimit, - string? displayName, - string? version, bool? thinking, - float? maxTemperature, - string? baseModelId, - float? temperature, + string? version, + global::System.Collections.Generic.IList? supportedGenerationMethods, + float? topP, string? name, + string? description, + string? displayName, + int? topK, + int? outputTokenLimit, int? inputTokenLimit, - global::System.Collections.Generic.IList? supportedGenerationMethods, - float? topP) + float? temperature, + string? baseModelId, + float? maxTemperature) { - this.TopK = topK; - this.Description = description; - this.OutputTokenLimit = outputTokenLimit; - this.DisplayName = displayName; - this.Version = version; this.Thinking = thinking; - this.MaxTemperature = maxTemperature; - this.BaseModelId = baseModelId; - this.Temperature = temperature; - this.Name = name; - this.InputTokenLimit = inputTokenLimit; + this.Version = version; this.SupportedGenerationMethods = supportedGenerationMethods; this.TopP = topP; + this.Name = name; + this.Description = description; + this.DisplayName = displayName; + this.TopK = topK; + this.OutputTokenLimit = outputTokenLimit; + this.InputTokenLimit = inputTokenLimit; + this.Temperature = temperature; + this.BaseModelId = baseModelId; + this.MaxTemperature = maxTemperature; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs index 75612d76..76cefbbc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class ModelStatus { - /// - /// The stage of the underlying model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelStage")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter))] - public global::Google.Gemini.ModelStatusModelStage? ModelStage { get; set; } - /// /// The time at which the model will be retired. /// @@ -27,6 +20,13 @@ public sealed partial class ModelStatus [global::System.Text.Json.Serialization.JsonPropertyName("message")] public string? Message { get; set; } + /// + /// The stage of the underlying model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("modelStage")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter))] + public global::Google.Gemini.ModelStatusModelStage? ModelStage { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ModelStatus /// /// Initializes a new instance of the class. /// - /// - /// The stage of the underlying model. - /// /// /// The time at which the model will be retired. /// /// /// A message explaining the model status. /// + /// + /// The stage of the underlying model. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( - global::Google.Gemini.ModelStatusModelStage? modelStage, string? retirementTime, - string? message) + string? message, + global::Google.Gemini.ModelStatusModelStage? modelStage) { - this.ModelStage = modelStage; this.RetirementTime = retirementTime; this.Message = message; + this.ModelStage = modelStage; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs index 8bb1e913..a60b8f6d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs @@ -9,34 +9,34 @@ namespace Google.Gemini public sealed partial class Operation { /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } /// - /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class Operation /// /// Initializes a new instance of the class. /// - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// + /// + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// /// /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Operation( - string? name, - object? response, - object? metadata, bool? done, - global::Google.Gemini.Status? error) + global::Google.Gemini.Status? error, + object? response, + string? name, + object? metadata) { - this.Name = name; - this.Response = response; - this.Metadata = metadata; this.Done = done; this.Error = error; + this.Response = response; + this.Name = name; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs index 39fb4098..2f6f1b2a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs @@ -17,22 +17,22 @@ public sealed partial class Part public byte[]? ThoughtSignature { get; set; } /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] + public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } /// - /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] - public global::Google.Gemini.ToolCall? ToolCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] + public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] - public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] + public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } /// /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. @@ -41,10 +41,10 @@ public sealed partial class Part public global::Google.Gemini.Blob? InlineData { get; set; } /// - /// Optional. Indicates if the part is thought from the model. + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thought")] - public bool? Thought { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } /// /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. @@ -54,34 +54,28 @@ public sealed partial class Part public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } /// - /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] - public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } - - /// - /// Inline text. + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] + public object? PartMetadata { get; set; } /// - /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] - public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] + public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// Inline text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] - public object? PartMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// - /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. + /// Optional. Indicates if the part is thought from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] - public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thought")] + public bool? Thought { get; set; } /// /// URI based data. @@ -89,6 +83,12 @@ public sealed partial class Part [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] public global::Google.Gemini.FileData? FileData { get; set; } + /// + /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] + public global::Google.Gemini.ToolCall? ToolCall { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -101,68 +101,68 @@ public sealed partial class Part /// /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// + /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// - /// - /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// + /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. /// - /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// /// /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - /// - /// Optional. Indicates if the part is thought from the model. + /// + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - /// - /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. + /// + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// /// /// Inline text. /// - /// - /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. - /// - /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. - /// - /// - /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. + /// + /// Optional. Indicates if the part is thought from the model. /// /// /// URI based data. /// + /// + /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( byte[]? thoughtSignature, + global::Google.Gemini.FunctionResponse? functionResponse, + global::Google.Gemini.ToolResponse? toolResponse, + global::Google.Gemini.ExecutableCode? executableCode, + global::Google.Gemini.Blob? inlineData, global::Google.Gemini.FunctionCall? functionCall, - global::Google.Gemini.ToolCall? toolCall, + object? partMetadata, global::Google.Gemini.CodeExecutionResult? codeExecutionResult, - global::Google.Gemini.Blob? inlineData, - bool? thought, - global::Google.Gemini.ExecutableCode? executableCode, string? text, - global::Google.Gemini.ToolResponse? toolResponse, - object? partMetadata, - global::Google.Gemini.FunctionResponse? functionResponse, - global::Google.Gemini.FileData? fileData) + bool? thought, + global::Google.Gemini.FileData? fileData, + global::Google.Gemini.ToolCall? toolCall) { this.ThoughtSignature = thoughtSignature; + this.FunctionResponse = functionResponse; + this.ToolResponse = toolResponse; + this.ExecutableCode = executableCode; + this.InlineData = inlineData; this.FunctionCall = functionCall; - this.ToolCall = toolCall; + this.PartMetadata = partMetadata; this.CodeExecutionResult = codeExecutionResult; - this.InlineData = inlineData; - this.Thought = thought; - this.ExecutableCode = executableCode; this.Text = text; - this.ToolResponse = toolResponse; - this.PartMetadata = partMetadata; - this.FunctionResponse = functionResponse; + this.Thought = thought; this.FileData = fileData; + this.ToolCall = toolCall; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs index 6b2d9560..3bca5d2c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs @@ -9,17 +9,11 @@ namespace Google.Gemini public sealed partial class Permission { /// - /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// Optional. Immutable. The type of the grantee. /// - [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] - public string? EmailAddress { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("granteeType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter))] + public global::Google.Gemini.PermissionGranteeType? GranteeType { get; set; } /// /// Required. The role granted by this permission. @@ -29,11 +23,17 @@ public sealed partial class Permission public global::Google.Gemini.PermissionRole? Role { get; set; } /// - /// Optional. Immutable. The type of the grantee. + /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("granteeType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter))] - public global::Google.Gemini.PermissionGranteeType? GranteeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] + public string? EmailAddress { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -44,6 +44,12 @@ public sealed partial class Permission /// /// Initializes a new instance of the class. /// + /// + /// Optional. Immutable. The type of the grantee. + /// + /// + /// Required. The role granted by this permission. + /// /// /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
/// Included only in responses @@ -51,25 +57,19 @@ public sealed partial class Permission /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// - /// - /// Optional. Immutable. The type of the grantee. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( - string? name, - string? emailAddress, + global::Google.Gemini.PermissionGranteeType? granteeType, global::Google.Gemini.PermissionRole? role, - global::Google.Gemini.PermissionGranteeType? granteeType) + string? name, + string? emailAddress) { + this.GranteeType = granteeType; + this.Role = role; this.Name = name; this.EmailAddress = emailAddress; - this.Role = role; - this.GranteeType = granteeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs index 93fe132f..fafacf58 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs @@ -14,18 +14,18 @@ public sealed partial class ResponseFormatConfig [global::System.Text.Json.Serialization.JsonPropertyName("audio")] public global::Google.Gemini.AudioResponseFormat? Audio { get; set; } - /// - /// Configuration for text output format. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public global::Google.Gemini.TextResponseFormat? Text { get; set; } - /// /// Configuration for image output format. /// [global::System.Text.Json.Serialization.JsonPropertyName("image")] public global::Google.Gemini.ImageResponseFormat? Image { get; set; } + /// + /// Configuration for text output format. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public global::Google.Gemini.TextResponseFormat? Text { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ResponseFormatConfig /// /// Configuration for audio output format. /// - /// - /// Configuration for text output format. - /// /// /// Configuration for image output format. /// + /// + /// Configuration for text output format. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ResponseFormatConfig( global::Google.Gemini.AudioResponseFormat? audio, - global::Google.Gemini.TextResponseFormat? text, - global::Google.Gemini.ImageResponseFormat? image) + global::Google.Gemini.ImageResponseFormat? image, + global::Google.Gemini.TextResponseFormat? text) { this.Audio = audio; - this.Text = text; this.Image = image; + this.Text = text; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs index 79e0a29a..401bc47a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class RetrievedContext { /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// Optional. URI reference of the semantic retrieval document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] - public string? FileSearchStore { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// /// Optional. Title of the document. @@ -21,22 +21,16 @@ public sealed partial class RetrievedContext public string? Title { get; set; } /// - /// Optional. Page number of the retrieved context, if applicable. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] - public int? PageNumber { get; set; } - - /// - /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] - public string? MediaId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] + public string? FileSearchStore { get; set; } /// - /// Optional. URI reference of the semantic retrieval document. + /// Optional. User-provided metadata about the retrieved context. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// /// Optional. Text of the chunk. @@ -45,10 +39,16 @@ public sealed partial class RetrievedContext public string? Text { get; set; } /// - /// Optional. User-provided metadata about the retrieved context. + /// Optional. Page number of the retrieved context, if applicable. /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] + public int? PageNumber { get; set; } + + /// + /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] + public string? MediaId { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,46 +59,46 @@ public sealed partial class RetrievedContext /// /// Initializes a new instance of the class. /// - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// + /// Optional. URI reference of the semantic retrieval document. /// /// /// Optional. Title of the document. /// - /// - /// Optional. Page number of the retrieved context, if applicable. - /// - /// - /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// - /// - /// Optional. URI reference of the semantic retrieval document. + /// + /// Optional. User-provided metadata about the retrieved context. /// /// /// Optional. Text of the chunk. /// - /// - /// Optional. User-provided metadata about the retrieved context. + /// + /// Optional. Page number of the retrieved context, if applicable. + /// + /// + /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( - string? fileSearchStore, - string? title, - int? pageNumber, - string? mediaId, string? uri, + string? title, + string? fileSearchStore, + global::System.Collections.Generic.IList? customMetadata, string? text, - global::System.Collections.Generic.IList? customMetadata) + int? pageNumber, + string? mediaId) { - this.FileSearchStore = fileSearchStore; + this.Uri = uri; this.Title = title; + this.FileSearchStore = fileSearchStore; + this.CustomMetadata = customMetadata; + this.Text = text; this.PageNumber = pageNumber; this.MediaId = mediaId; - this.Uri = uri; - this.Text = text; - this.CustomMetadata = customMetadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs index 8761eef3..ce8ec4f0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs @@ -14,18 +14,18 @@ public sealed partial class ReviewSnippet [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsUri")] public string? GoogleMapsUri { get; set; } - /// - /// Title of the review. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - /// /// The ID of the review snippet. /// [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] public string? ReviewId { get; set; } + /// + /// Title of the review. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ReviewSnippet /// /// A link that corresponds to the user review on Google Maps. /// - /// - /// Title of the review. - /// /// /// The ID of the review snippet. /// + /// + /// Title of the review. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ReviewSnippet( string? googleMapsUri, - string? title, - string? reviewId) + string? reviewId, + string? title) { this.GoogleMapsUri = googleMapsUri; - this.Title = title; this.ReviewId = reviewId; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs index c6531ab3..7eb80d6f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class SafetyRating { - /// - /// Required. The probability of harm for this content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("probability")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter))] - public global::Google.Gemini.SafetyRatingProbability? Probability { get; set; } - /// /// Required. The category for this rating. /// @@ -22,6 +15,13 @@ public sealed partial class SafetyRating [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter))] public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } + /// + /// Required. The probability of harm for this content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("probability")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter))] + public global::Google.Gemini.SafetyRatingProbability? Probability { get; set; } + /// /// Was this content blocked because of this rating? /// @@ -37,12 +37,12 @@ public sealed partial class SafetyRating /// /// Initializes a new instance of the class. /// - /// - /// Required. The probability of harm for this content. - /// /// /// Required. The category for this rating. /// + /// + /// Required. The probability of harm for this content. + /// /// /// Was this content blocked because of this rating? /// @@ -50,12 +50,12 @@ public sealed partial class SafetyRating [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( - global::Google.Gemini.SafetyRatingProbability? probability, global::Google.Gemini.SafetyRatingCategory? category, + global::Google.Gemini.SafetyRatingProbability? probability, bool? blocked) { - this.Probability = probability; this.Category = category; + this.Probability = probability; this.Blocked = blocked; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs index 8a3dac69..1c981d0c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class SafetySetting { - /// - /// Required. Controls the probability threshold at which harm is blocked. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("threshold")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter))] - public global::Google.Gemini.SafetySettingThreshold? Threshold { get; set; } - /// /// Required. The category for this setting. /// @@ -22,6 +15,13 @@ public sealed partial class SafetySetting [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter))] public global::Google.Gemini.SafetySettingCategory? Category { get; set; } + /// + /// Required. Controls the probability threshold at which harm is blocked. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("threshold")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter))] + public global::Google.Gemini.SafetySettingThreshold? Threshold { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -31,21 +31,21 @@ public sealed partial class SafetySetting /// /// Initializes a new instance of the class. /// - /// - /// Required. Controls the probability threshold at which harm is blocked. - /// /// /// Required. The category for this setting. /// + /// + /// Required. Controls the probability threshold at which harm is blocked. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetySetting( - global::Google.Gemini.SafetySettingThreshold? threshold, - global::Google.Gemini.SafetySettingCategory? category) + global::Google.Gemini.SafetySettingCategory? category, + global::Google.Gemini.SafetySettingThreshold? threshold) { - this.Threshold = threshold; this.Category = category; + this.Threshold = threshold; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs index 0e4aa43c..59f21db8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class Schema { /// - /// Optional. Maximum number of the elements for Type.ARRAY. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] - public string? MaxItems { get; set; } - - /// - /// Optional. Required properties of Type.OBJECT. + /// Optional. Maximum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] + public string? MaxProperties { get; set; } /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER @@ -27,34 +21,28 @@ public sealed partial class Schema public double? Minimum { get; set; } /// - /// Optional. Maximum number of the properties for Type.OBJECT. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] - public string? MaxProperties { get; set; } - - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// Optional. Example of the object. Will only populated when the object is the root. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] - public string? MinLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("example")] + public object? Example { get; set; } /// - /// Optional. The title of the schema. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("items")] + public global::Google.Gemini.Schema? Items { get; set; } /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// Optional. Required properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] - public global::System.Collections.Generic.IList? AnyOf { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - [global::System.Text.Json.Serialization.JsonPropertyName("items")] - public global::Google.Gemini.Schema? Items { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { get; set; } /// /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. @@ -62,12 +50,6 @@ public sealed partial class Schema [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } - /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { get; set; } - /// /// Optional. Minimum number of the elements for Type.ARRAY. /// @@ -75,16 +57,16 @@ public sealed partial class Schema public string? MinItems { get; set; } /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// Optional. Minimum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { get; set; } /// - /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + /// Optional. Indicates if the value may be null. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enum")] - public global::System.Collections.Generic.IList? Enum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] + public bool? Nullable { get; set; } /// /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER @@ -93,29 +75,41 @@ public sealed partial class Schema public double? Maximum { get; set; } /// - /// Optional. Maximum length of the Type.STRING + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("type")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] + public global::Google.Gemini.SchemaType? Type { get; set; } /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("example")] - public object? Example { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] + public string? MinLength { get; set; } /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] + public global::System.Collections.Generic.IList? AnyOf { get; set; } /// - /// Required. Data type. + /// Optional. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("type")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] - public global::Google.Gemini.SchemaType? Type { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } + + /// + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + /// + [global::System.Text.Json.Serialization.JsonPropertyName("enum")] + public global::System.Collections.Generic.IList? Enum { get; set; } + + /// + /// Optional. Maximum length of the Type.STRING + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] + public string? MaxLength { get; set; } /// /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. @@ -124,22 +118,28 @@ public sealed partial class Schema public string? Format { get; set; } /// - /// Optional. Indicates if the value may be null. + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] - public bool? Nullable { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { get; set; } /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// Optional. Maximum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] - public string? Pattern { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + public string? MaxItems { get; set; } + + /// + /// Optional. The title of the schema. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -150,121 +150,121 @@ public sealed partial class Schema /// /// Initializes a new instance of the class. /// - /// - /// Optional. Maximum number of the elements for Type.ARRAY. - /// - /// - /// Optional. Required properties of Type.OBJECT. - /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER - /// /// /// Optional. Maximum number of the properties for Type.OBJECT. /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING - /// - /// - /// Optional. The title of the schema. + /// + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// + /// Optional. Example of the object. Will only populated when the object is the root. /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// + /// + /// Optional. Required properties of Type.OBJECT. + /// + /// + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// /// /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. /// - /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. - /// /// /// Optional. Minimum number of the elements for Type.ARRAY. /// - /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// + /// Optional. Minimum number of the properties for Type.OBJECT. /// - /// - /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + /// + /// Optional. Indicates if the value may be null. /// /// /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - /// - /// Optional. Maximum length of the Type.STRING + /// + /// Required. Data type. /// - /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - /// - /// Required. Data type. + /// + /// Optional. Properties of Type.OBJECT. + /// + /// + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + /// + /// + /// Optional. Maximum length of the Type.STRING /// /// /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - /// - /// Optional. Indicates if the value may be null. + /// + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - /// - /// Optional. Properties of Type.OBJECT. + /// + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// + /// Optional. Maximum number of the elements for Type.ARRAY. + /// + /// + /// Optional. The title of the schema. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - string? maxItems, - global::System.Collections.Generic.IList? required, - double? minimum, string? maxProperties, - string? minLength, - string? title, - global::System.Collections.Generic.IList? anyOf, + double? minimum, + object? example, global::Google.Gemini.Schema? items, + global::System.Collections.Generic.IList? required, + string? pattern, global::System.Collections.Generic.IList? propertyOrdering, - object? @default, string? minItems, - string? description, - global::System.Collections.Generic.IList? @enum, - double? maximum, - string? maxLength, - object? example, string? minProperties, - global::Google.Gemini.SchemaType? type, - string? format, bool? nullable, + double? maximum, + global::Google.Gemini.SchemaType? type, + string? minLength, + global::System.Collections.Generic.IList? anyOf, global::System.Collections.Generic.Dictionary? properties, - string? pattern) + global::System.Collections.Generic.IList? @enum, + string? maxLength, + string? format, + string? description, + object? @default, + string? maxItems, + string? title) { - this.MaxItems = maxItems; - this.Required = required; - this.Minimum = minimum; this.MaxProperties = maxProperties; - this.MinLength = minLength; - this.Title = title; - this.AnyOf = anyOf; + this.Minimum = minimum; + this.Example = example; this.Items = items; + this.Required = required; + this.Pattern = pattern; this.PropertyOrdering = propertyOrdering; - this.Default = @default; this.MinItems = minItems; - this.Description = description; - this.Enum = @enum; - this.Maximum = maximum; - this.MaxLength = maxLength; - this.Example = example; this.MinProperties = minProperties; - this.Type = type; - this.Format = format; this.Nullable = nullable; + this.Maximum = maximum; + this.Type = type; + this.MinLength = minLength; + this.AnyOf = anyOf; this.Properties = properties; - this.Pattern = pattern; + this.Enum = @enum; + this.MaxLength = maxLength; + this.Format = format; + this.Description = description; + this.Default = @default; + this.MaxItems = maxItems; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs index f9bd1b66..51762010 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SearchTypes { - /// - /// Standard web search for grounding and related configurations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("webSearch")] - public global::Google.Gemini.WebSearch? WebSearch { get; set; } - /// /// Image search for grounding and related configurations. /// [global::System.Text.Json.Serialization.JsonPropertyName("imageSearch")] public global::Google.Gemini.ImageSearch? ImageSearch { get; set; } + /// + /// Standard web search for grounding and related configurations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("webSearch")] + public global::Google.Gemini.WebSearch? WebSearch { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SearchTypes /// /// Initializes a new instance of the class. /// - /// - /// Standard web search for grounding and related configurations. - /// /// /// Image search for grounding and related configurations. /// + /// + /// Standard web search for grounding and related configurations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SearchTypes( - global::Google.Gemini.WebSearch? webSearch, - global::Google.Gemini.ImageSearch? imageSearch) + global::Google.Gemini.ImageSearch? imageSearch, + global::Google.Gemini.WebSearch? webSearch) { - this.WebSearch = webSearch; this.ImageSearch = imageSearch; + this.WebSearch = webSearch; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs index 8890bdf2..db03bec1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class SemanticRetrieverChunk { /// - /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
+ /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] - public string? Chunk { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("source")] + public string? Source { get; set; } /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - public string? Source { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] + public string? Chunk { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class SemanticRetrieverChunk /// /// Initializes a new instance of the class. /// - /// - /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
- /// Included only in responses - /// /// /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
/// Included only in responses /// + /// + /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SemanticRetrieverChunk( - string? chunk, - string? source) + string? source, + string? chunk) { - this.Chunk = chunk; this.Source = source; + this.Chunk = chunk; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs index 3ce1c58d..2cdf8fc7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs @@ -14,18 +14,18 @@ public sealed partial class SpeechConfig [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } - /// - /// The configuration for the voice to use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] - public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } - /// /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] public string? LanguageCode { get; set; } + /// + /// The configuration for the voice to use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] + public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class SpeechConfig /// /// The configuration for the multi-speaker setup. /// - /// - /// The configuration for the voice to use. - /// /// /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// + /// + /// The configuration for the voice to use. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, - global::Google.Gemini.VoiceConfig? voiceConfig, - string? languageCode) + string? languageCode, + global::Google.Gemini.VoiceConfig? voiceConfig) { this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; - this.VoiceConfig = voiceConfig; this.LanguageCode = languageCode; + this.VoiceConfig = voiceConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs index 3b58e292..d40cd9d8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs @@ -14,18 +14,18 @@ public sealed partial class Status [global::System.Text.Json.Serialization.JsonPropertyName("code")] public int? Code { get; set; } - /// - /// A list of messages that carry the error details. There is a common set of message types for APIs to use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("details")] - public global::System.Collections.Generic.IList? Details { get; set; } - /// /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// [global::System.Text.Json.Serialization.JsonPropertyName("message")] public string? Message { get; set; } + /// + /// A list of messages that carry the error details. There is a common set of message types for APIs to use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("details")] + public global::System.Collections.Generic.IList? Details { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class Status /// /// The status code, which should be an enum value of google.rpc.Code. /// - /// - /// A list of messages that carry the error details. There is a common set of message types for APIs to use. - /// /// /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// + /// + /// A list of messages that carry the error details. There is a common set of message types for APIs to use. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Status( int? code, - global::System.Collections.Generic.IList? details, - string? message) + string? message, + global::System.Collections.Generic.IList? details) { this.Code = code; - this.Details = details; this.Message = message; + this.Details = details; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs index e01c3eab..23bd44ba 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs @@ -15,10 +15,10 @@ public sealed partial class StreamableHttpTransport public string? Url { get; set; } /// - /// Timeout for SSE read operations. + /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] - public string? SseReadTimeout { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("headers")] + public global::System.Collections.Generic.Dictionary? Headers { get; set; } /// /// HTTP timeout for regular operations. @@ -26,18 +26,18 @@ public sealed partial class StreamableHttpTransport [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] public string? Timeout { get; set; } - /// - /// Optional: Fields for authentication headers, timeouts, etc., if needed. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("headers")] - public global::System.Collections.Generic.Dictionary? Headers { get; set; } - /// /// Whether to close the client session when the transport closes. /// [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] public bool? TerminateOnClose { get; set; } + /// + /// Timeout for SSE read operations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] + public string? SseReadTimeout { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -50,33 +50,33 @@ public sealed partial class StreamableHttpTransport /// /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" /// - /// - /// Timeout for SSE read operations. + /// + /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// /// /// HTTP timeout for regular operations. /// - /// - /// Optional: Fields for authentication headers, timeouts, etc., if needed. - /// /// /// Whether to close the client session when the transport closes. /// + /// + /// Timeout for SSE read operations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( string? url, - string? sseReadTimeout, - string? timeout, global::System.Collections.Generic.Dictionary? headers, - bool? terminateOnClose) + string? timeout, + bool? terminateOnClose, + string? sseReadTimeout) { this.Url = url; - this.SseReadTimeout = sseReadTimeout; - this.Timeout = timeout; this.Headers = headers; + this.Timeout = timeout; this.TerminateOnClose = terminateOnClose; + this.SseReadTimeout = sseReadTimeout; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs index f6546f19..16bbd030 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs @@ -14,12 +14,6 @@ public sealed partial class ThinkingConfig [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] public bool? IncludeThoughts { get; set; } - /// - /// The number of thoughts tokens that the model should generate. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] - public int? ThinkingBudget { get; set; } - /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error. /// @@ -27,6 +21,12 @@ public sealed partial class ThinkingConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter))] public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } + /// + /// The number of thoughts tokens that the model should generate. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] + public int? ThinkingBudget { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,23 +39,23 @@ public sealed partial class ThinkingConfig /// /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. /// - /// - /// The number of thoughts tokens that the model should generate. - /// /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error. /// + /// + /// The number of thoughts tokens that the model should generate. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ThinkingConfig( bool? includeThoughts, - int? thinkingBudget, - global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel) + global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel, + int? thinkingBudget) { this.IncludeThoughts = includeThoughts; - this.ThinkingBudget = thinkingBudget; this.ThinkingLevel = thinkingLevel; + this.ThinkingBudget = thinkingBudget; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs index b5c6dc68..84e7f3fc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs @@ -9,28 +9,10 @@ namespace Google.Gemini public sealed partial class Tool { /// - /// Tool to retrieve public web data for grounding, powered by Google. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] - public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } - - /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] - public global::Google.Gemini.FileSearch? FileSearch { get; set; } - - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] - public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } - - /// - /// Computer Use tool type. + /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] - public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] + public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } /// /// The GoogleMaps Tool that provides geospatial context for the user's query. @@ -44,6 +26,12 @@ public sealed partial class Tool [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } + /// + /// Computer Use tool type. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] + public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } + /// /// Optional. MCP Servers to connect to. /// @@ -51,10 +39,16 @@ public sealed partial class Tool public global::System.Collections.Generic.IList? McpServers { get; set; } /// - /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. + /// Tool to retrieve public web data for grounding, powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] - public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] + public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } + + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] + public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } /// /// Tool to support URL context retrieval. @@ -62,6 +56,12 @@ public sealed partial class Tool [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] public global::Google.Gemini.UrlContext? UrlContext { get; set; } + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] + public global::Google.Gemini.FileSearch? FileSearch { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -71,17 +71,8 @@ public sealed partial class Tool /// /// Initializes a new instance of the class. /// - /// - /// Tool to retrieve public web data for grounding, powered by Google. - /// - /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. - /// - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// - /// - /// Computer Use tool type. + /// + /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// /// /// The GoogleMaps Tool that provides geospatial context for the user's query. @@ -89,38 +80,47 @@ public sealed partial class Tool /// /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. /// + /// + /// Computer Use tool type. + /// /// /// Optional. MCP Servers to connect to. /// - /// - /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. + /// + /// Tool to retrieve public web data for grounding, powered by Google. + /// + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// /// /// Tool to support URL context retrieval. /// + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( - global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, - global::Google.Gemini.FileSearch? fileSearch, - global::Google.Gemini.GoogleSearch? googleSearch, - global::Google.Gemini.ComputerUse? computerUse, + global::System.Collections.Generic.IList? functionDeclarations, global::Google.Gemini.GoogleMaps? googleMaps, global::Google.Gemini.CodeExecution? codeExecution, + global::Google.Gemini.ComputerUse? computerUse, global::System.Collections.Generic.IList? mcpServers, - global::System.Collections.Generic.IList? functionDeclarations, - global::Google.Gemini.UrlContext? urlContext) + global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, + global::Google.Gemini.GoogleSearch? googleSearch, + global::Google.Gemini.UrlContext? urlContext, + global::Google.Gemini.FileSearch? fileSearch) { - this.GoogleSearchRetrieval = googleSearchRetrieval; - this.FileSearch = fileSearch; - this.GoogleSearch = googleSearch; - this.ComputerUse = computerUse; + this.FunctionDeclarations = functionDeclarations; this.GoogleMaps = googleMaps; this.CodeExecution = codeExecution; + this.ComputerUse = computerUse; this.McpServers = mcpServers; - this.FunctionDeclarations = functionDeclarations; + this.GoogleSearchRetrieval = googleSearchRetrieval; + this.GoogleSearch = googleSearch; this.UrlContext = urlContext; + this.FileSearch = fileSearch; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs index 04b17ff7..1abb4355 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class ToolConfig { /// - /// Retrieval config. + /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] - public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] + public bool? IncludeServerSideToolInvocations { get; set; } /// /// Configuration for specifying function calling behavior. @@ -21,10 +21,10 @@ public sealed partial class ToolConfig public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } /// - /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. + /// Retrieval config. /// - [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] - public bool? IncludeServerSideToolInvocations { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] + public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class ToolConfig /// /// Initializes a new instance of the class. /// - /// - /// Retrieval config. + /// + /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// /// /// Configuration for specifying function calling behavior. /// - /// - /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. + /// + /// Retrieval config. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( - global::Google.Gemini.RetrievalConfig? retrievalConfig, + bool? includeServerSideToolInvocations, global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, - bool? includeServerSideToolInvocations) + global::Google.Gemini.RetrievalConfig? retrievalConfig) { - this.RetrievalConfig = retrievalConfig; - this.FunctionCallingConfig = functionCallingConfig; this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; + this.FunctionCallingConfig = functionCallingConfig; + this.RetrievalConfig = retrievalConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs index edda00c9..3cf6fa00 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ToolResponse { + /// + /// Optional. The identifier of the tool call this response is for. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. /// @@ -15,12 +21,6 @@ public sealed partial class ToolResponse [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } - /// - /// Optional. The identifier of the tool call this response is for. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Optional. The tool response. /// @@ -36,12 +36,12 @@ public sealed partial class ToolResponse /// /// Initializes a new instance of the class. /// - /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. - /// /// /// Optional. The identifier of the tool call this response is for. /// + /// + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// /// /// Optional. The tool response. /// @@ -49,12 +49,12 @@ public sealed partial class ToolResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolResponse( - global::Google.Gemini.ToolResponseToolType? toolType, string? id, + global::Google.Gemini.ToolResponseToolType? toolType, object? response) { - this.ToolType = toolType; this.Id = id; + this.ToolType = toolType; this.Response = response; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.Json.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.Json.g.cs new file mode 100644 index 00000000..7374b637 --- /dev/null +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.Json.g.cs @@ -0,0 +1,92 @@ +#nullable enable + +namespace Google.Gemini +{ + public sealed partial class TranslationConfig + { + /// + /// Serializes the current instance to a JSON string using the provided JsonSerializerContext. + /// + public string ToJson( + global::System.Text.Json.Serialization.JsonSerializerContext jsonSerializerContext) + { + return global::System.Text.Json.JsonSerializer.Serialize( + this, + this.GetType(), + jsonSerializerContext); + } + + /// + /// Serializes the current instance to a JSON string using the provided JsonSerializerOptions. + /// +#if NET8_0_OR_GREATER + [global::System.Diagnostics.CodeAnalysis.RequiresUnreferencedCode("JSON serialization and deserialization might require types that cannot be statically analyzed. Use the overload that takes a JsonTypeInfo or JsonSerializerContext, or make sure all of the required types are preserved.")] + [global::System.Diagnostics.CodeAnalysis.RequiresDynamicCode("JSON serialization and deserialization might require types that cannot be statically analyzed and might need runtime code generation. Use System.Text.Json source generation for native AOT applications.")] +#endif + public string ToJson( + global::System.Text.Json.JsonSerializerOptions? jsonSerializerOptions = null) + { + return global::System.Text.Json.JsonSerializer.Serialize( + this, + jsonSerializerOptions); + } + + /// + /// Deserializes a JSON string using the provided JsonSerializerContext. + /// + public static global::Google.Gemini.TranslationConfig? FromJson( + string json, + global::System.Text.Json.Serialization.JsonSerializerContext jsonSerializerContext) + { + return global::System.Text.Json.JsonSerializer.Deserialize( + json, + typeof(global::Google.Gemini.TranslationConfig), + jsonSerializerContext) as global::Google.Gemini.TranslationConfig; + } + + /// + /// Deserializes a JSON string using the provided JsonSerializerOptions. + /// +#if NET8_0_OR_GREATER + [global::System.Diagnostics.CodeAnalysis.RequiresUnreferencedCode("JSON serialization and deserialization might require types that cannot be statically analyzed. Use the overload that takes a JsonTypeInfo or JsonSerializerContext, or make sure all of the required types are preserved.")] + [global::System.Diagnostics.CodeAnalysis.RequiresDynamicCode("JSON serialization and deserialization might require types that cannot be statically analyzed and might need runtime code generation. Use System.Text.Json source generation for native AOT applications.")] +#endif + public static global::Google.Gemini.TranslationConfig? FromJson( + string json, + global::System.Text.Json.JsonSerializerOptions? jsonSerializerOptions = null) + { + return global::System.Text.Json.JsonSerializer.Deserialize( + json, + jsonSerializerOptions); + } + + /// + /// Deserializes a JSON stream using the provided JsonSerializerContext. + /// + public static async global::System.Threading.Tasks.ValueTask FromJsonStreamAsync( + global::System.IO.Stream jsonStream, + global::System.Text.Json.Serialization.JsonSerializerContext jsonSerializerContext) + { + return (await global::System.Text.Json.JsonSerializer.DeserializeAsync( + jsonStream, + typeof(global::Google.Gemini.TranslationConfig), + jsonSerializerContext).ConfigureAwait(false)) as global::Google.Gemini.TranslationConfig; + } + + /// + /// Deserializes a JSON stream using the provided JsonSerializerOptions. + /// +#if NET8_0_OR_GREATER + [global::System.Diagnostics.CodeAnalysis.RequiresUnreferencedCode("JSON serialization and deserialization might require types that cannot be statically analyzed. Use the overload that takes a JsonTypeInfo or JsonSerializerContext, or make sure all of the required types are preserved.")] + [global::System.Diagnostics.CodeAnalysis.RequiresDynamicCode("JSON serialization and deserialization might require types that cannot be statically analyzed and might need runtime code generation. Use System.Text.Json source generation for native AOT applications.")] +#endif + public static global::System.Threading.Tasks.ValueTask FromJsonStreamAsync( + global::System.IO.Stream jsonStream, + global::System.Text.Json.JsonSerializerOptions? jsonSerializerOptions = null) + { + return global::System.Text.Json.JsonSerializer.DeserializeAsync( + jsonStream, + jsonSerializerOptions); + } + } +} diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.g.cs new file mode 100644 index 00000000..9487be42 --- /dev/null +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.g.cs @@ -0,0 +1,57 @@ + +#nullable enable + +namespace Google.Gemini +{ + /// + /// Config for translation features. + /// + public sealed partial class TranslationConfig + { + /// + /// Optional. If true, the model will generate audio when the target language is spoken, essentially it will parrot the input. If false, we will not produce audio for the target language. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("echoTargetLanguage")] + public bool? EchoTargetLanguage { get; set; } + + /// + /// Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr"). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("targetLanguageCode")] + public string? TargetLanguageCode { get; set; } + + /// + /// Additional properties that are not explicitly defined in the schema + /// + [global::System.Text.Json.Serialization.JsonExtensionData] + public global::System.Collections.Generic.IDictionary AdditionalProperties { get; set; } = new global::System.Collections.Generic.Dictionary(); + + /// + /// Initializes a new instance of the class. + /// + /// + /// Optional. If true, the model will generate audio when the target language is spoken, essentially it will parrot the input. If false, we will not produce audio for the target language. + /// + /// + /// Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr"). + /// +#if NET7_0_OR_GREATER + [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] +#endif + public TranslationConfig( + bool? echoTargetLanguage, + string? targetLanguageCode) + { + this.EchoTargetLanguage = echoTargetLanguage; + this.TargetLanguageCode = targetLanguageCode; + } + + /// + /// Initializes a new instance of the class. + /// + public TranslationConfig() + { + } + + } +} \ No newline at end of file diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs index 54543a95..a1d98a95 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs @@ -8,12 +8,31 @@ namespace Google.Gemini /// public sealed partial class TunedModel { + /// + /// Tuning tasks that create tuned models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } + /// /// Optional. List of project numbers that have read access to the tuned model. /// [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } + /// + /// Tuned model as a source for training a new model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] + public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } + + /// + /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// @@ -21,24 +40,28 @@ public sealed partial class TunedModel public float? TopP { get; set; } /// - /// Output only. The state of the tuned model.
- /// Included only in responses + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] - public global::Google.Gemini.TunedModelState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] - public string? BaseModel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Tuning tasks that create tuned models. + /// Optional. A short description of this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } + + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] + public string? BaseModel { get; set; } /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. @@ -47,18 +70,19 @@ public sealed partial class TunedModel public float? Temperature { get; set; } /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// Output only. The timestamp when this model was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. The timestamp when this model was created.
+ /// Output only. The state of the tuned model.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] + public global::Google.Gemini.TunedModelState? State { get; set; } /// /// Output only. The timestamp when this model was updated.
@@ -67,30 +91,6 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } - /// - /// Tuned model as a source for training a new model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] - public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } - - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } - - /// - /// Optional. A short description of this model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -100,80 +100,80 @@ public sealed partial class TunedModel /// /// Initializes a new instance of the class. /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Optional. List of project numbers that have read access to the tuned model. /// + /// + /// Tuned model as a source for training a new model. + /// + /// + /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// Included only in responses + /// /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Output only. The state of the tuned model.
- /// Included only in responses + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. A short description of this model. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Tuning tasks that create tuned models. - /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses - /// /// /// Output only. The timestamp when this model was created.
/// Included only in responses /// + /// + /// Output only. The state of the tuned model.
+ /// Included only in responses + /// /// /// Output only. The timestamp when this model was updated.
/// Included only in responses /// - /// - /// Tuned model as a source for training a new model. - /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. A short description of this model. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( + global::Google.Gemini.TuningTask? tuningTask, global::System.Collections.Generic.IList? readerProjectNumbers, + global::Google.Gemini.TunedModelSource? tunedModelSource, + string? name, float? topP, - global::Google.Gemini.TunedModelState? state, + string? displayName, + int? topK, + string? description, string? baseModel, - global::Google.Gemini.TuningTask? tuningTask, float? temperature, - string? name, string? createTime, - string? updateTime, - global::Google.Gemini.TunedModelSource? tunedModelSource, - string? displayName, - int? topK, - string? description) + global::Google.Gemini.TunedModelState? state, + string? updateTime) { + this.TuningTask = tuningTask; this.ReaderProjectNumbers = readerProjectNumbers; + this.TunedModelSource = tunedModelSource; + this.Name = name; this.TopP = topP; - this.State = state; + this.DisplayName = displayName; + this.TopK = topK; + this.Description = description; this.BaseModel = baseModel; - this.TuningTask = tuningTask; this.Temperature = temperature; - this.Name = name; this.CreateTime = createTime; + this.State = state; this.UpdateTime = updateTime; - this.TunedModelSource = tunedModelSource; - this.DisplayName = displayName; - this.TopK = topK; - this.Description = description; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs index bafee2ce..ceaaa53f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class TunedModelSource { - /// - /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModel")] - public string? TunedModel { get; set; } - /// /// Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`
/// Included only in responses @@ -21,6 +15,12 @@ public sealed partial class TunedModelSource [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] public string? BaseModel { get; set; } + /// + /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModel")] + public string? TunedModel { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class TunedModelSource /// /// Initializes a new instance of the class. /// - /// - /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` - /// /// /// Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`
/// Included only in responses /// + /// + /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModelSource( - string? tunedModel, - string? baseModel) + string? baseModel, + string? tunedModel) { - this.TunedModel = tunedModel; this.BaseModel = baseModel; + this.TunedModel = tunedModel; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningExample.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningExample.g.cs index 3ea7ac7d..b3691f19 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningExample.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningExample.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class TuningExample { - /// - /// Required. The expected model output. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public string? Output { get; set; } - /// /// Optional. Text model input. /// [global::System.Text.Json.Serialization.JsonPropertyName("textInput")] public string? TextInput { get; set; } + /// + /// Required. The expected model output. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public string? Output { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class TuningExample /// /// Initializes a new instance of the class. /// - /// - /// Required. The expected model output. - /// /// /// Optional. Text model input. /// + /// + /// Required. The expected model output. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningExample( - string? output, - string? textInput) + string? textInput, + string? output) { - this.Output = output; this.TextInput = textInput; + this.Output = output; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs index 2769a6cf..3cf6b2ed 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class TuningSnapshot { /// - /// Output only. The epoch this step was part of.
+ /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] - public int? Epoch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] + public float? MeanLoss { get; set; } /// /// Output only. The tuning step.
@@ -30,11 +30,11 @@ public sealed partial class TuningSnapshot public string? ComputeTime { get; set; } /// - /// Output only. The mean loss of the training examples for this step.
+ /// Output only. The epoch this step was part of.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] - public float? MeanLoss { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] + public int? Epoch { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,8 +45,8 @@ public sealed partial class TuningSnapshot /// /// Initializes a new instance of the class. /// - /// - /// Output only. The epoch this step was part of.
+ /// + /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// /// @@ -57,23 +57,23 @@ public sealed partial class TuningSnapshot /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// - /// - /// Output only. The mean loss of the training examples for this step.
+ /// + /// Output only. The epoch this step was part of.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( - int? epoch, + float? meanLoss, int? step, string? computeTime, - float? meanLoss) + int? epoch) { - this.Epoch = epoch; + this.MeanLoss = meanLoss; this.Step = step; this.ComputeTime = computeTime; - this.MeanLoss = meanLoss; + this.Epoch = epoch; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs index da6c2c37..86dbb770 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class TuningTask { - /// - /// Output only. Metrics collected during tuning.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] - public global::System.Collections.Generic.IList? Snapshots { get; set; } - /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses @@ -23,10 +16,10 @@ public sealed partial class TuningTask public string? StartTime { get; set; } /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// Dataset for training or validation. /// - [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] - public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] + public global::Google.Gemini.Dataset? TrainingData { get; set; } /// /// Output only. The timestamp when tuning this model completed.
@@ -36,10 +29,17 @@ public sealed partial class TuningTask public string? CompleteTime { get; set; } /// - /// Dataset for training or validation. + /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance /// - [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] - public global::Google.Gemini.Dataset? TrainingData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] + public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } + + /// + /// Output only. Metrics collected during tuning.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] + public global::System.Collections.Generic.IList? Snapshots { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -50,39 +50,39 @@ public sealed partial class TuningTask /// /// Initializes a new instance of the class. /// - /// - /// Output only. Metrics collected during tuning.
- /// Included only in responses - /// /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// - /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// + /// Dataset for training or validation. /// /// /// Output only. The timestamp when tuning this model completed.
/// Included only in responses /// - /// - /// Dataset for training or validation. + /// + /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// + /// + /// Output only. Metrics collected during tuning.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( - global::System.Collections.Generic.IList? snapshots, string? startTime, - global::Google.Gemini.Hyperparameters? hyperparameters, + global::Google.Gemini.Dataset? trainingData, string? completeTime, - global::Google.Gemini.Dataset? trainingData) + global::Google.Gemini.Hyperparameters? hyperparameters, + global::System.Collections.Generic.IList? snapshots) { - this.Snapshots = snapshots; this.StartTime = startTime; - this.Hyperparameters = hyperparameters; - this.CompleteTime = completeTime; this.TrainingData = trainingData; + this.CompleteTime = completeTime; + this.Hyperparameters = hyperparameters; + this.Snapshots = snapshots; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs index d597ca58..4fdd9803 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class UploadToFileSearchStoreRequest { - /// - /// Optional. Display name of the created document. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] - public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } - /// /// Custom metadata to be associated with the data. /// @@ -32,6 +20,18 @@ public sealed partial class UploadToFileSearchStoreRequest [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] + public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } + + /// + /// Optional. Display name of the created document. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. Display name of the created document. - /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// /// /// Custom metadata to be associated with the data. /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + /// + /// Optional. Display name of the created document. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UploadToFileSearchStoreRequest( - string? displayName, - global::Google.Gemini.ChunkingConfig? chunkingConfig, global::System.Collections.Generic.IList? customMetadata, - string? mimeType) + string? mimeType, + global::Google.Gemini.ChunkingConfig? chunkingConfig, + string? displayName) { - this.DisplayName = displayName; - this.ChunkingConfig = chunkingConfig; this.CustomMetadata = customMetadata; this.MimeType = mimeType; + this.ChunkingConfig = chunkingConfig; + this.DisplayName = displayName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs index 1d0c8a25..1370d791 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs @@ -9,10 +9,32 @@ namespace Google.Gemini public sealed partial class UsageMetadata { /// - /// Number of tokens in the cached part of the prompt (the cached content) + /// Output only. List of modalities that were returned in the response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] + public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } + + /// + /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] + public int? ToolUsePromptTokenCount { get; set; } + + /// + /// Output only. List of modalities of the cached content in the request input.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + + /// + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] + public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } /// /// Output only. Service tier of the request.
@@ -29,10 +51,10 @@ public sealed partial class UsageMetadata public int? PromptTokenCount { get; set; } /// - /// Total number of tokens across all the generated response candidates. + /// Number of tokens in the cached part of the prompt (the cached content) /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// /// Output only. List of modalities that were processed in the request input.
@@ -42,25 +64,10 @@ public sealed partial class UsageMetadata public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// Output only. Number of tokens present in tool-use prompt(s).
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] - public int? ToolUsePromptTokenCount { get; set; } - - /// - /// Output only. List of modalities that were processed for tool-use request inputs.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] - public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } - - /// - /// Output only. List of modalities of the cached content in the request input.
- /// Included only in responses + /// Total number of tokens across all the generated response candidates. /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { get; set; } /// /// Output only. Number of tokens of thoughts for thinking models.
@@ -75,13 +82,6 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] public int? TotalTokenCount { get; set; } - /// - /// Output only. List of modalities that were returned in the response.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] - public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } - /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
/// Included only in responses @@ -105,8 +105,21 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Number of tokens in the cached part of the prompt (the cached content) + /// + /// Output only. List of modalities that were returned in the response.
+ /// Included only in responses + /// + /// + /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Included only in responses + /// + /// + /// Output only. List of modalities of the cached content in the request input.
+ /// Included only in responses + /// + /// + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses /// /// /// Output only. Service tier of the request.
@@ -115,24 +128,15 @@ public sealed partial class UsageMetadata /// /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. /// - /// - /// Total number of tokens across all the generated response candidates. + /// + /// Number of tokens in the cached part of the prompt (the cached content) /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - /// - /// Output only. Number of tokens present in tool-use prompt(s).
- /// Included only in responses - /// - /// - /// Output only. List of modalities that were processed for tool-use request inputs.
- /// Included only in responses - /// - /// - /// Output only. List of modalities of the cached content in the request input.
- /// Included only in responses + /// + /// Total number of tokens across all the generated response candidates. /// /// /// Output only. Number of tokens of thoughts for thinking models.
@@ -141,10 +145,6 @@ public sealed partial class UsageMetadata /// /// Total token count for the generation request (prompt + thoughts + response candidates). /// - /// - /// Output only. List of modalities that were returned in the response.
- /// Included only in responses - /// /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
/// Included only in responses @@ -157,31 +157,31 @@ public sealed partial class UsageMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UsageMetadata( - int? cachedContentTokenCount, + global::System.Collections.Generic.IList? candidatesTokensDetails, + int? toolUsePromptTokenCount, + global::System.Collections.Generic.IList? cacheTokensDetails, + global::System.Collections.Generic.IList? toolUsePromptTokensDetails, global::Google.Gemini.UsageMetadataServiceTier? serviceTier, int? promptTokenCount, - int? candidatesTokenCount, + int? cachedContentTokenCount, global::System.Collections.Generic.IList? promptTokensDetails, - int? toolUsePromptTokenCount, - global::System.Collections.Generic.IList? toolUsePromptTokensDetails, - global::System.Collections.Generic.IList? cacheTokensDetails, + int? candidatesTokenCount, int? thoughtsTokenCount, int? totalTokenCount, - global::System.Collections.Generic.IList? candidatesTokensDetails, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { - this.CachedContentTokenCount = cachedContentTokenCount; + this.CandidatesTokensDetails = candidatesTokensDetails; + this.ToolUsePromptTokenCount = toolUsePromptTokenCount; + this.CacheTokensDetails = cacheTokensDetails; + this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; this.ServiceTier = serviceTier; this.PromptTokenCount = promptTokenCount; - this.CandidatesTokenCount = candidatesTokenCount; + this.CachedContentTokenCount = cachedContentTokenCount; this.PromptTokensDetails = promptTokensDetails; - this.ToolUsePromptTokenCount = toolUsePromptTokenCount; - this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; - this.CacheTokensDetails = cacheTokensDetails; + this.CandidatesTokenCount = candidatesTokenCount; this.ThoughtsTokenCount = thoughtsTokenCount; this.TotalTokenCount = totalTokenCount; - this.CandidatesTokensDetails = candidatesTokensDetails; this.ResponseTokenCount = responseTokenCount; this.ResponseTokensDetails = responseTokensDetails; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs index 9220677a..011001b8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs @@ -9,6 +9,13 @@ namespace Google.Gemini [global::System.Obsolete("This model marked as deprecated.")] public sealed partial class VideoMetadata { + /// + /// Optional. The start offset of the video. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startOffset")] + [global::System.Obsolete("This property marked as deprecated.")] + public string? StartOffset { get; set; } + /// /// Optional. The end offset of the video. /// @@ -23,13 +30,6 @@ public sealed partial class VideoMetadata [global::System.Obsolete("This property marked as deprecated.")] public double? Fps { get; set; } - /// - /// Optional. The start offset of the video. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startOffset")] - [global::System.Obsolete("This property marked as deprecated.")] - public string? StartOffset { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,26 +39,26 @@ public sealed partial class VideoMetadata /// /// Initializes a new instance of the class. /// + /// + /// Optional. The start offset of the video. + /// /// /// Optional. The end offset of the video. /// /// /// Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. /// - /// - /// Optional. The start offset of the video. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public VideoMetadata( + string? startOffset, string? endOffset, - double? fps, - string? startOffset) + double? fps) { + this.StartOffset = startOffset; this.EndOffset = endOffset; this.Fps = fps; - this.StartOffset = startOffset; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs index 10b0d5ec..057e2a36 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class Web { /// - /// Output only. Title of the chunk.
+ /// Output only. URI reference of the chunk.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Output only. URI reference of the chunk.
+ /// Output only. Title of the chunk.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class Web /// /// Initializes a new instance of the class. /// - /// - /// Output only. Title of the chunk.
- /// Included only in responses - /// /// /// Output only. URI reference of the chunk.
/// Included only in responses /// + /// + /// Output only. Title of the chunk.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Web( - string? title, - string? uri) + string? uri, + string? title) { - this.Title = title; this.Uri = uri; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs index c7b0c0fb..24c4a609 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class WhiteSpaceConfig { - /// - /// Maximum number of overlapping tokens between two adjacent chunks. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOverlapTokens")] - public int? MaxOverlapTokens { get; set; } - /// /// Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow. /// [global::System.Text.Json.Serialization.JsonPropertyName("maxTokensPerChunk")] public int? MaxTokensPerChunk { get; set; } + /// + /// Maximum number of overlapping tokens between two adjacent chunks. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxOverlapTokens")] + public int? MaxOverlapTokens { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class WhiteSpaceConfig /// /// Initializes a new instance of the class. /// - /// - /// Maximum number of overlapping tokens between two adjacent chunks. - /// /// /// Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow. /// + /// + /// Maximum number of overlapping tokens between two adjacent chunks. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public WhiteSpaceConfig( - int? maxOverlapTokens, - int? maxTokensPerChunk) + int? maxTokensPerChunk, + int? maxOverlapTokens) { - this.MaxOverlapTokens = maxOverlapTokens; this.MaxTokensPerChunk = maxTokensPerChunk; + this.MaxOverlapTokens = maxOverlapTokens; } /// diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index 7f3fa317..0ccd800e 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,60 +11,19 @@ } ], "paths": { - "/tunedModels": { - "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", - "parameters": [ - { - "name": "filter", - "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", - "schema": { - "type": "string" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", - "schema": { - "type": "string" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" - } - } - } - } - } - }, + "/fileSearchStores/{fileSearchStoresId}:importFile": { "post": { - "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", - "operationId": "tunedModels.create", + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { - "name": "tunedModelId", - "in": "query", - "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { - "type": "string" + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -72,7 +31,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/ImportFileRequest" } } } @@ -91,19 +50,27 @@ } } }, - "/tunedModels/{tunedModelsId}": { + "/fileSearchStores/{fileSearchStoresId}": { "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -121,17 +88,17 @@ } }, "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -141,81 +108,58 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/FileSearchStore" } } } } } - }, - "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + } + }, + "/fileSearchStores": { + "get": { + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "integer", + "format": "int32" } }, { - "name": "updateMask", + "name": "pageToken", "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", "schema": { - "type": "string", - "format": "google-fieldmask" + "type": "string" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:streamGenerateContent": { + }, "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "tunedModels.streamGenerateContent", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -226,12 +170,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -239,38 +178,46 @@ } } }, - "/tunedModels/{tunedModelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "tunedModels.generateContent", + "/fileSearchStores/{fileSearchStoresId}/documents": { + "get": { + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ { - "name": "tunedModelsId", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } @@ -278,116 +225,81 @@ } } }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { + "get": { + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Document" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:transferOwnership": { - "post": { - "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", - "operationId": "tunedModels.transferOwnership", + }, + "delete": { + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "string" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" - } - } + }, + { + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", + "schema": { + "type": "boolean" } - } - } - } - }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", - "parameters": [ + }, { - "name": "tunedModelsId", + "name": "documentsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -395,52 +307,27 @@ } } }, - "/tunedModels/{tunedModelsId}/operations": { + "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "tunedModels.operations.list", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.operations.get", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", + "name": "operationsId", + "in": "path", + "required": true, "schema": { "type": "string" } }, { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation's parent resource.", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", - "schema": { - "type": "string" - } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], @@ -450,7 +337,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -458,13 +345,13 @@ } } }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "tunedModels.operations.get", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -472,13 +359,13 @@ } }, { - "name": "operationsId", + "name": "fileSearchStoresId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], @@ -496,15 +383,40 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions": { + "/corpora": { + "post": { + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Corpus" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Corpus" + } + } + } + } + } + }, "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", + "description": "Lists all `Corpora` owned by the user.", + "operationId": "corpora.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", "schema": { "type": "integer", "format": "int32" @@ -513,20 +425,10 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", "schema": { "type": "string" } - }, - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } } ], "responses": { @@ -535,112 +437,87 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/ListCorporaResponse" } } } } } - }, - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + } + }, + "/corpora/{corporaId}": { + "delete": { + "description": "Deletes a `Corpus`.", + "operationId": "corpora.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + }, + "get": { + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^corpora/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Corpus" } } } } } - }, + } + }, + "/corpora/{corporaId}/permissions/{permissionsId}": { "get": { "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "operationId": "corpora.permissions.get", "parameters": [ { - "name": "tunedModelsId", + "name": "permissionsId", "in": "path", "required": true, "schema": { @@ -648,13 +525,13 @@ } }, { - "name": "permissionsId", + "name": "corporaId", "in": "path", "required": true, "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -673,10 +550,10 @@ }, "delete": { "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + "operationId": "corpora.permissions.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "permissionsId", "in": "path", "required": true, "schema": { @@ -684,13 +561,13 @@ } }, { - "name": "permissionsId", + "name": "corporaId", "in": "path", "required": true, "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -706,65 +583,36 @@ } } } - } - }, - "/dynamic/{dynamicId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "dynamic.streamGenerateContent", + }, + "patch": { + "description": "Updates the permission.", + "operationId": "corpora.permissions.patch", "parameters": [ { - "name": "dynamicId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string", - "pattern": "^dynamic/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - } + "type": "string" } - } - } - } - }, - "/dynamic/{dynamicId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "dynamic.generateContent", - "parameters": [ + }, { - "name": "dynamicId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -772,7 +620,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -783,7 +631,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Permission" } } } @@ -791,15 +639,15 @@ } } }, - "/generatedFiles": { + "/corpora/{corporaId}/permissions": { "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.list", + "description": "Lists permissions for the specific resource.", + "operationId": "corpora.permissions.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -808,10 +656,20 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+$" + } } ], "responses": { @@ -820,45 +678,44 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } } } - } - }, - "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "generatedFiles.operations.get", + }, + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "corpora.permissions.create", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "generatedFilesId", + "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } @@ -866,47 +723,27 @@ } } }, - "/batches/{batchesId}": { + "/corpora/{corporaId}/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "batches.get", + "operationId": "corpora.operations.get", "parameters": [ { - "name": "batchesId", + "name": "operationsId", "in": "path", "required": true, - "description": "The name of the operation resource.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } + "type": "string" } - } - } - }, - "delete": { - "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", - "operationId": "batches.delete", - "parameters": [ + }, { - "name": "batchesId", + "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation resource to be deleted.", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -916,7 +753,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -924,53 +761,40 @@ } } }, - "/batches/{batchesId}:cancel": { + "/files": { "post": { - "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", - "operationId": "batches.cancel", - "parameters": [ - { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource to be cancelled.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "description": "Creates a `File`.", + "operationId": "media.upload", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateFileRequest" + } } } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/CreateFileResponse" } } } } } - } - }, - "/batches": { + }, "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "batches.list", + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { "type": "integer", "format": "int32" @@ -979,18 +803,10 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token from a previous `ListFiles` call.", "schema": { "type": "string" } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } } ], "responses": { @@ -999,7 +815,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListFilesResponse" } } } @@ -1007,28 +823,19 @@ } } }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "post": { + "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", "parameters": [ { - "name": "batchesId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -1036,7 +843,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" } } } @@ -1047,7 +854,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } @@ -1055,58 +862,10 @@ } } }, - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", - "parameters": [ - { - "name": "batchesId", - "in": "path", - "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", - "schema": { - "type": "string", - "format": "google-fieldmask" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" - } - } - } - } - } - } - }, - "/cachedContents": { - "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + "/cachedContents": { + "get": { + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", "parameters": [ { "name": "pageSize", @@ -1166,52 +925,6 @@ } }, "/cachedContents/{cachedContentsId}": { - "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", - "parameters": [ - { - "name": "cachedContentsId", - "in": "path", - "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "The list of fields to update.", - "schema": { - "type": "string", - "format": "google-fieldmask" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } - } - } - } - }, "get": { "description": "Reads CachedContent resource.", "operationId": "cachedContents.get", @@ -1267,83 +980,28 @@ } } } - } - }, - "/files": { - "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CreateFileRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CreateFileResponse" - } - } - } - } - } }, - "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + "patch": { + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", + "name": "cachedContentsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "schema": { - "type": "integer", - "format": "int32" + "type": "string", + "pattern": "^cachedContents/[^/]+$" } }, { - "name": "pageToken", + "name": "updateMask", "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", - "schema": { - "type": "string" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListFilesResponse" - } - } - } - } - } - } - }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { - "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", - "parameters": [ - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "The list of fields to update.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "format": "google-fieldmask" } } ], @@ -1351,34 +1009,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" - } - } - } - } - } - } - }, - "/files:register": { - "post": { - "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", - "operationId": "files.register", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/RegisterFilesRequest" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1389,7 +1020,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesResponse" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1455,36 +1086,26 @@ } } }, - "/models": { - "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", - "schema": { - "type": "string" + "/files:register": { + "post": { + "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", + "operationId": "files.register", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RegisterFilesRequest" + } } } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/RegisterFilesResponse" } } } @@ -1492,19 +1113,19 @@ } } }, - "/models/{modelsId}:streamGenerateContent": { + "/dynamic/{dynamicId}:streamGenerateContent": { "post": { "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", + "operationId": "dynamic.streamGenerateContent", "parameters": [ { - "name": "modelsId", + "name": "dynamicId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -1536,19 +1157,19 @@ } } }, - "/models/{modelsId}:generateContent": { + "/dynamic/{dynamicId}:generateContent": { "post": { "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "models.generateContent", + "operationId": "dynamic.generateContent", "parameters": [ { - "name": "modelsId", + "name": "dynamicId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -1575,31 +1196,67 @@ } } }, - "/models/{modelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", - "parameters": [ - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "/generatedFiles": { + "get": { + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", "schema": { - "type": "string", - "pattern": "^models/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "schema": { + "type": "string" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListGeneratedFilesResponse" + } } } } - }, + } + } + }, + "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "generatedFiles.operations.get", + "parameters": [ + { + "name": "operationsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "generatedFilesId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", + "schema": { + "type": "string", + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + } + } + ], "responses": { "200": { "description": "Successful response", @@ -1653,29 +1310,43 @@ } } }, - "/models/{modelsId}": { - "get": { - "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", - "operationId": "models.get", + "/models/{modelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "models.streamGenerateContent", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1683,16 +1354,16 @@ } } }, - "/models/{modelsId}:countTokens": { + "/models/{modelsId}:asyncBatchEmbedContent": { "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "models.asyncBatchEmbedContent", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^models/[^/]+$" @@ -1703,7 +1374,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensRequest" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -1714,7 +1385,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1722,16 +1393,16 @@ } } }, - "/models/{modelsId}:batchEmbedContents": { + "/models/{modelsId}:batchGenerateContent": { "post": { - "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", - "operationId": "models.batchEmbedContents", + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^models/[^/]+$" @@ -1742,7 +1413,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -1753,7 +1424,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1761,16 +1432,16 @@ } } }, - "/models/{modelsId}:asyncBatchEmbedContent": { + "/models/{modelsId}:countTokens": { "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", + "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", + "operationId": "models.countTokens", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", "pattern": "^models/[^/]+$" @@ -1781,7 +1452,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/CountTokensRequest" } } } @@ -1792,7 +1463,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CountTokensResponse" } } } @@ -1800,27 +1471,19 @@ } } }, - "/models/{modelsId}/operations/{operationsId}": { + "/models/{modelsId}": { "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "models.operations.get", + "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", + "operationId": "models.get", "parameters": [ - { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, { "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1830,7 +1493,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Model" } } } @@ -1838,78 +1501,27 @@ } } }, - "/models/{modelsId}/operations": { - "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "models.operations.list", + "/models/{modelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "models.generateContent", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, { "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation's parent resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^models/[^/]+$" } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", - "schema": { - "type": "string" - } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" - } - } - } - } - } - } - }, - "/fileSearchStores": { - "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1920,21 +1532,23 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, + } + }, + "/models": { "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -1943,7 +1557,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", "schema": { "type": "string" } @@ -1955,7 +1569,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" + "$ref": "#/components/schemas/ListModelsResponse" } } } @@ -1963,104 +1577,101 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}": { - "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + "/models/{modelsId}:batchEmbedContents": { + "post": { + "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", + "operationId": "models.batchEmbedContents", "parameters": [ { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchEmbedContentsRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } } } - }, - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", - "parameters": [ + } + }, + "/models/{modelsId}/operations": { + "get": { + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "models.operations.list", + "parameters": [ { - "name": "force", + "name": "filter", "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "description": "The standard list filter.", "schema": { - "type": "boolean" + "type": "string" } }, { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "The name of the operation's parent resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } - } + }, + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" } - } - } - } - }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { - "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", - "parameters": [ + }, { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "type": "string" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ImportFileRequest" - } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -2068,10 +1679,10 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "/models/{modelsId}/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.upload.operations.get", + "operationId": "models.operations.get", "parameters": [ { "name": "operationsId", @@ -2082,13 +1693,13 @@ } }, { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], @@ -2106,71 +1717,69 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { - "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", + "/tunedModels": { + "post": { + "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", + "operationId": "tunedModels.create", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, + "name": "tunedModelId", + "in": "query", + "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", "schema": { "type": "string" } - }, - { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" - } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/Operation" } } } } } }, - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", + "get": { + "description": "Lists created tuned models.", + "operationId": "tunedModels.list", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, + "name": "filter", + "in": "query", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", "schema": { "type": "string" } }, { - "name": "force", + "name": "pageSize", "in": "query", - "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", + "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { - "type": "boolean" + "type": "integer", + "format": "int32" } }, { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "type": "string" } } ], @@ -2180,7 +1789,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } @@ -2188,46 +1797,38 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents": { - "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -2235,37 +1836,38 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", + "/tunedModels/{tunedModelsId}:transferOwnership": { + "post": { + "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", + "operationId": "tunedModels.transferOwnership", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TransferOwnershipRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } @@ -2273,29 +1875,47 @@ } } }, - "/corpora/{corporaId}": { - "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", + "/tunedModels/{tunedModelsId}": { + "patch": { + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", "parameters": [ { - "name": "corporaId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^tunedModels/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Corpus" + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" } } } @@ -2303,25 +1923,17 @@ } }, "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.delete", + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "corporaId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -2337,63 +1949,68 @@ } } } - } - }, - "/corpora": { - "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Corpus" - } + }, + "get": { + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/TunedModel" } } } } } - }, - "get": { - "description": "Lists all `Corpora` owned by the user.", - "operationId": "corpora.list", + } + }, + "/tunedModels/{tunedModelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCorporaResponse" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -2401,64 +2018,58 @@ } } }, - "/corpora/{corporaId}/permissions": { - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "corpora.permissions.list", + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/tunedModels/{tunedModelsId}:streamGenerateContent": { "post": { - "description": "Create a permission to a specific resource.", - "operationId": "corpora.permissions.create", + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "tunedModels.streamGenerateContent", "parameters": [ { - "name": "corporaId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -2466,7 +2077,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -2477,7 +2088,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -2485,13 +2101,13 @@ } } }, - "/corpora/{corporaId}/permissions/{permissionsId}": { + "/tunedModels/{tunedModelsId}/operations/{operationsId}": { "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.permissions.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "tunedModels.operations.get", "parameters": [ { - "name": "permissionsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -2499,13 +2115,13 @@ } }, { - "name": "corporaId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" } } ], @@ -2515,33 +2131,60 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", + } + }, + "/tunedModels/{tunedModelsId}/operations": { + "get": { + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "tunedModels.operations.list", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, + "name": "filter", + "in": "query", + "description": "The standard list filter.", "schema": { "type": "string" } }, { - "name": "corporaId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation's parent resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^tunedModels/[^/]+$" + } + }, + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } ], @@ -2551,19 +2194,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListOperationsResponse" } } } } } - }, + } + }, + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { "patch": { "description": "Updates the permission.", - "operationId": "corpora.permissions.patch", + "operationId": "tunedModels.permissions.patch", "parameters": [ { - "name": "permissionsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -2571,13 +2216,13 @@ } }, { - "name": "corporaId", + "name": "permissionsId", "in": "path", "required": true, "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } }, { @@ -2611,15 +2256,13 @@ } } } - } - }, - "/corpora/{corporaId}/operations/{operationsId}": { + }, "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "corpora.operations.get", + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -2627,13 +2270,13 @@ } }, { - "name": "corporaId", + "name": "permissionsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -2643,4233 +2286,4608 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } } } - } - } - }, - "components": { - "schemas": { - "FunctionResponseBlob": { - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", - "type": "object", - "properties": { - "data": { - "description": "Raw bytes for media formats.", - "type": "string", - "format": "byte" + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } }, - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", - "type": "string" + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } } } - }, - "BatchEmbedContentsRequest": { - "properties": { - "requests": { - "items": { - "$ref": "#/components/schemas/EmbedContentRequest" - }, - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", - "type": "array" + } + }, + "/tunedModels/{tunedModelsId}/permissions": { + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } } - }, - "description": "Batch request to get embeddings from the model for a list of prompts.", - "type": "object" - }, - "CreateFileResponse": { - "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } } }, - "description": "Response for `CreateFile`.", - "type": "object" + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + } + } }, - "File": { - "description": "A file uploaded to the API. Next ID: 15", - "type": "object", - "properties": { - "createTime": { - "readOnly": true, - "description": "Output only. The timestamp of when the `File` was created.", - "type": "string", - "format": "google-datetime" - }, - "updateTime": { - "readOnly": true, - "description": "Output only. The timestamp of when the `File` was last updated.", - "type": "string", - "format": "google-datetime" - }, - "name": { - "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", - "type": "string" - }, - "uri": { - "description": "Output only. The uri of the `File`.", - "type": "string", - "readOnly": true - }, - "mimeType": { - "description": "Output only. MIME type of the file.", - "type": "string", - "readOnly": true - }, - "source": { - "description": "Source of the File.", - "type": "string", - "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" - ], - "x-enum-descriptions": [ - "Used if source is not specified.", - "Indicates the file is uploaded by the user.", - "Indicates the file is generated by Google.", - "Indicates the file is a registered, i.e. a Google Cloud Storage file." - ] + "get": { + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } }, - "displayName": { - "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: \"Welcome Image\"", - "type": "string" + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "schema": { + "type": "string" + } }, - "expirationTime": { - "readOnly": true, - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", - "type": "string", - "format": "google-datetime" + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListPermissionsResponse" + } + } + } + } + } + } + }, + "/batches": { + "get": { + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "batches.list", + "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } }, - "videoMetadata": { - "description": "Output only. Metadata for a video.", - "readOnly": true, - "$ref": "#/components/schemas/VideoFileMetadata" + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } }, - "downloadUri": { - "readOnly": true, - "description": "Output only. The download uri of the `File`.", - "type": "string" + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } }, - "state": { - "readOnly": true, - "description": "Output only. Processing state of the File.", - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ], - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "File is being processed and cannot be used for inference yet.", - "File is processed and available for inference.", - "File failed processing." - ], + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListOperationsResponse" + } + } + } + } + } + } + }, + "/batches/{batchesId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "batches.get", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + }, + "delete": { + "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", + "operationId": "batches.delete", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "The name of the operation resource to be deleted.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } + } + } + } + }, + "/batches/{batchesId}:cancel": { + "post": { + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "The name of the operation resource to be cancelled.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } + } + } + } + }, + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EmbedContentBatch" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EmbedContentBatch" + } + } + } + } + } + } + }, + "/batches/{batchesId}:updateGenerateContentBatch": { + "patch": { + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentBatch" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentBatch" + } + } + } + } + } + } + } + }, + "components": { + "schemas": { + "InlinedEmbedContentResponse": { + "description": "The response to a single request in the batch.", + "type": "object", + "properties": { + "error": { + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status", + "readOnly": true + }, + "response": { + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/EmbedContentResponse", + "readOnly": true + }, + "metadata": { + "readOnly": true, + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Output only. The metadata associated with the request.", + "type": "object" + } + } + }, + "Operation": { + "description": "This resource represents a long-running operation that is the result of a network API call.", + "type": "object", + "properties": { + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" + }, + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" + }, + "response": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "type": "object" + }, + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "type": "string" + }, + "metadata": { + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + } + } + }, + "CachedContent": { + "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for.", + "type": "object", + "properties": { + "updateTime": { + "readOnly": true, + "description": "Output only. When the cache entry was last updated in UTC time.", + "type": "string", + "format": "google-datetime" + }, + "displayName": { + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "type": "string" + }, + "usageMetadata": { + "description": "Output only. Metadata on the usage of the cached content.", + "$ref": "#/components/schemas/CachedContentUsageMetadata", + "readOnly": true + }, + "ttl": { + "description": "Input only. New TTL for this resource, input only.", + "type": "string", + "format": "google-duration" + }, + "name": { + "readOnly": true, + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "type": "string" + }, + "model": { + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", + "type": "string" + }, + "expireTime": { + "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", + "type": "string", + "format": "google-datetime" + }, + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", + "$ref": "#/components/schemas/Content" + }, + "tools": { + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", + "type": "array", + "items": { + "$ref": "#/components/schemas/Tool" + } + }, + "contents": { + "description": "Optional. Input only. Immutable. The content to cache.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + } + }, + "toolConfig": { + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", + "$ref": "#/components/schemas/ToolConfig" + }, + "createTime": { + "readOnly": true, + "description": "Output only. Creation time of the cache entry.", + "type": "string", + "format": "google-datetime" + } + } + }, + "ModalityTokenCount": { + "description": "Represents token counting info for a single modality.", + "type": "object", + "properties": { + "modality": { + "description": "The modality associated with this token count.", + "type": "string", + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" + ], + "x-enum-descriptions": [ + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." + ] + }, + "tokenCount": { + "description": "Number of tokens.", + "type": "integer", + "format": "int32" + } + } + }, + "Content": { + "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", + "type": "object", + "properties": { + "parts": { + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Part" + } + }, + "role": { + "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "type": "string" + } + } + }, + "ListOperationsResponse": { + "description": "The response message for Operations.ListOperations.", + "type": "object", + "properties": { + "nextPageToken": { + "description": "The standard List next-page token.", + "type": "string" + }, + "operations": { + "description": "A list of operations that matches the specified filter in the request.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Operation" + } + }, + "unreachable": { + "items": { + "type": "string" + }, + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", + "type": "array" + } + } + }, + "LogprobsResult": { + "description": "Logprobs Result", + "type": "object", + "properties": { + "topCandidates": { + "description": "Length = total number of decoding steps.", + "type": "array", + "items": { + "$ref": "#/components/schemas/TopCandidates" + } + }, + "chosenCandidates": { + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + }, + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", + "type": "array" + }, + "logProbabilitySum": { + "description": "Sum of log probabilities for all tokens.", + "type": "number", + "format": "float" + } + } + }, + "SpeechConfig": { + "description": "Config for speech generation and transcription.", + "type": "object", + "properties": { + "multiSpeakerVoiceConfig": { + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" + }, + "languageCode": { + "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", + "type": "string" + }, + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" + } + } + }, + "SearchEntryPoint": { + "description": "Google search entry point.", + "type": "object", + "properties": { + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", + "type": "string" + }, + "sdkBlob": { + "description": "Optional. Base64 encoded JSON representing array of tuple.", + "type": "string", + "format": "byte" + } + } + }, + "EmbedContentRequest": { + "description": "Request containing the `Content` for the model to embed.", + "type": "object", + "properties": { + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" + }, + "model": { + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "type": "string" + }, + "title": { + "deprecated": true, + "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", + "type": "string" + }, + "embedContentConfig": { + "description": "Optional. Configuration for the EmbedContent request.", + "$ref": "#/components/schemas/EmbedContentConfig" + }, + "outputDimensionality": { + "deprecated": true, + "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", + "type": "integer", + "format": "int32" + }, + "taskType": { + "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", + "type": "string", + "deprecated": true, + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ], + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ] + } + } + }, + "Hyperparameters": { + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "type": "object", + "properties": { + "learningRate": { + "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", + "type": "number", + "format": "float" + }, + "learningRateMultiplier": { + "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.", + "type": "number", + "format": "float" + }, + "epochCount": { + "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used.", + "type": "integer", + "format": "int32" + }, + "batchSize": { + "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", + "type": "integer", + "format": "int32" + } + } + }, + "VoiceConfig": { + "description": "The configuration for the voice to use.", + "type": "object", + "properties": { + "prebuiltVoiceConfig": { + "description": "The configuration for the prebuilt voice to use.", + "$ref": "#/components/schemas/PrebuiltVoiceConfig" + } + } + }, + "ToolResponse": { + "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", + "type": "object", + "properties": { + "id": { + "description": "Optional. The identifier of the tool call this response is for.", + "type": "string" + }, + "toolType": { + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "type": "string" + }, + "response": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The tool response.", + "type": "object" + } + } + }, + "CountTokensRequest": { + "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", + "type": "object", + "properties": { + "contents": { + "items": { + "$ref": "#/components/schemas/Content" + }, + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", + "type": "array" + }, + "generateContentRequest": { + "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + }, + "GenerateContentRequest": { + "description": "Request to generate a completion from the model.", + "type": "object", + "properties": { + "generationConfig": { + "description": "Optional. Configuration options for model generation and outputs.", + "$ref": "#/components/schemas/GenerationConfig" + }, + "safetySettings": { + "items": { + "$ref": "#/components/schemas/SafetySetting" + }, + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", + "type": "array" + }, + "store": { + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", + "type": "boolean" + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "cachedContent": { + "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", + "type": "string" + }, + "serviceTier": { + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ], + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ], + "description": "Optional. The service tier of the request.", + "type": "string" + }, + "contents": { + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + } + }, + "toolConfig": { + "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", + "$ref": "#/components/schemas/ToolConfig" + }, + "tools": { + "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Tool" + } + }, + "systemInstruction": { + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", + "$ref": "#/components/schemas/Content" + } + } + }, + "InputConfig": { + "description": "Configures the input to the batch request.", + "type": "object", + "properties": { + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" }, - "sha256Hash": { - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "type": "string", - "format": "byte", - "readOnly": true - }, - "sizeBytes": { - "readOnly": true, - "description": "Output only. Size of the file in bytes.", - "type": "string", - "format": "int64" + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedRequests" + } + } + }, + "ListTunedModelsResponse": { + "description": "Response from `ListTunedModels` containing a paginated list of Models.", + "type": "object", + "properties": { + "tunedModels": { + "description": "The returned Models.", + "type": "array", + "items": { + "$ref": "#/components/schemas/TunedModel" + } }, - "error": { - "readOnly": true, - "$ref": "#/components/schemas/Status", - "description": "Output only. Error status if File processing failed." + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } } }, - "ImageSearch": { - "properties": {}, - "description": "Image search for grounding and related configurations.", - "type": "object" + "CitationSource": { + "description": "A citation to a source for a portion of a specific response.", + "type": "object", + "properties": { + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", + "type": "string" + }, + "license": { + "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", + "type": "string" + }, + "startIndex": { + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", + "type": "integer", + "format": "int32" + }, + "endIndex": { + "description": "Optional. End of the attributed segment, exclusive.", + "type": "integer", + "format": "int32" + } + } }, - "AsyncBatchEmbedContentRequest": { + "WhiteSpaceConfig": { + "description": "Configuration for a white space chunking algorithm [white space delimited].", + "type": "object", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" + "maxTokensPerChunk": { + "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", + "type": "integer", + "format": "int32" + }, + "maxOverlapTokens": { + "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "type": "integer", + "format": "int32" } - }, - "description": "Request for an `AsyncBatchEmbedContent` operation.", - "type": "object" + } }, - "EmbedContentBatch": { - "description": "A resource representing a batch of `EmbedContent` requests.", + "Web": { + "description": "Chunk from the web.", "type": "object", "properties": { - "batchStats": { + "uri": { "readOnly": true, - "$ref": "#/components/schemas/EmbedContentBatchStats", - "description": "Output only. Stats about the batch." + "description": "Output only. URI reference of the chunk.", + "type": "string" }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" + "title": { + "readOnly": true, + "description": "Output only. Title of the chunk.", + "type": "string" + } + } + }, + "ImageConfig": { + "description": "Config for image generation features.", + "type": "object", + "properties": { + "aspectRatio": { + "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided.", + "type": "string" }, - "displayName": { - "description": "Required. The user-defined name of this batch.", + "imageSize": { + "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", "type": "string" + } + } + }, + "Status": { + "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", + "type": "object", + "properties": { + "code": { + "description": "The status code, which should be an enum value of google.rpc.Code.", + "type": "integer", + "format": "int32" }, - "output": { - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentBatchOutput", - "description": "Output only. The output of the batch request." + "message": { + "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", + "type": "string" }, - "createTime": { - "readOnly": true, - "description": "Output only. The time at which the batch was created.", - "type": "string", - "format": "google-datetime" + "details": { + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", + "type": "array", + "items": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + } + } + } + }, + "GoogleAiGenerativelanguageV1betaSegment": { + "description": "Segment of the content.", + "type": "object", + "properties": { + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "type": "integer", + "format": "int32" }, - "updateTime": { - "readOnly": true, - "description": "Output only. The time at which the batch was last updated.", - "type": "string", - "format": "google-datetime" + "startIndex": { + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", + "type": "integer", + "format": "int32" }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "endIndex": { + "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", + "type": "integer", + "format": "int32" + }, + "text": { + "description": "The text corresponding to the segment from the response.", + "type": "string" + } + } + }, + "ListFilesResponse": { + "description": "Response for `ListFiles`.", + "type": "object", + "properties": { + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", "type": "string" }, - "state": { - "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ], - "type": "string", - "readOnly": true, - "description": "Output only. The state of the batch.", - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ] + "files": { + "description": "The list of `File`s.", + "type": "array", + "items": { + "$ref": "#/components/schemas/File" + } + } + } + }, + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", + "type": "object", + "properties": { + "urlMetadata": { + "description": "List of url context.", + "type": "array", + "items": { + "$ref": "#/components/schemas/UrlMetadata" + } + } + } + }, + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "type": "object", + "properties": { + "includeServerSideToolInvocations": { + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", + "type": "boolean" }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "type": "string", - "format": "int64" + "functionCallingConfig": { + "description": "Optional. Function calling config.", + "$ref": "#/components/schemas/FunctionCallingConfig" }, - "endTime": { - "description": "Output only. The time at which the batch processing completed.", - "type": "string", - "format": "google-datetime", - "readOnly": true + "retrievalConfig": { + "description": "Optional. Retrieval config.", + "$ref": "#/components/schemas/RetrievalConfig" + } + } + }, + "ImportFileRequest": { + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", + "type": "object", + "properties": { + "customMetadata": { + "items": { + "$ref": "#/components/schemas/CustomMetadata" + }, + "description": "Custom metadata to be associated with the file.", + "type": "array" + }, + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" }, - "name": { - "readOnly": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", "type": "string" } } }, - "CachedContent": { + "BatchEmbedContentsRequest": { + "description": "Batch request to get embeddings from the model for a list of prompts.", + "type": "object", "properties": { - "displayName": { - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", - "type": "string" - }, - "expireTime": { - "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", - "type": "string", - "format": "google-datetime" - }, - "tools": { - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", + "requests": { + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", "type": "array", "items": { - "$ref": "#/components/schemas/Tool" + "$ref": "#/components/schemas/EmbedContentRequest" } - }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" - }, - "contents": { - "items": { - "$ref": "#/components/schemas/Content" - }, - "description": "Optional. Input only. Immutable. The content to cache.", - "type": "array" - }, - "name": { - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "type": "string", - "readOnly": true - }, - "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" - }, - "ttl": { - "description": "Input only. New TTL for this resource, input only.", - "type": "string", - "format": "google-duration" - }, - "model": { - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", - "type": "string" - }, - "usageMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/CachedContentUsageMetadata", - "description": "Output only. Metadata on the usage of the cached content." - }, - "createTime": { - "description": "Output only. Creation time of the cache entry.", - "type": "string", - "format": "google-datetime", - "readOnly": true - }, - "updateTime": { - "readOnly": true, - "description": "Output only. When the cache entry was last updated in UTC time.", - "type": "string", - "format": "google-datetime" } - }, - "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for.", - "type": "object" + } }, - "Corpus": { - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", + "SemanticRetrieverChunk": { + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", "type": "object", "properties": { - "name": { - "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", - "type": "string", - "readOnly": true - }, - "createTime": { - "description": "Output only. The Timestamp of when the `Corpus` was created.", + "source": { + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", "type": "string", - "format": "google-datetime", "readOnly": true }, - "updateTime": { + "chunk": { "readOnly": true, - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "type": "string", - "format": "google-datetime" - }, - "displayName": { - "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", "type": "string" } } }, - "CreateFileRequest": { + "InputEmbedContentConfig": { + "description": "Configures the input to the batch request.", + "type": "object", "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" + "fileName": { + "description": "The name of the `File` containing the input requests.", + "type": "string" + }, + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" } - }, - "description": "Request for `CreateFile`.", - "type": "object" + } }, - "ListDocumentsResponse": { - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "RegisterFilesRequest": { + "description": "Request for `RegisterFiles`.", "type": "object", "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" - }, - "documents": { - "description": "The returned `Document`s.", + "uris": { + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", "type": "array", "items": { - "$ref": "#/components/schemas/Document" + "type": "string" } } } }, - "GenerateContentResponse": { + "InlinedRequest": { + "description": "The request to be processed in the batch.", + "type": "object", "properties": { - "modelVersion": { + "metadata": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The metadata to be associated with the request.", + "type": "object" + }, + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + }, + "EmbedContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", + "type": "object", + "properties": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "$ref": "#/components/schemas/InlinedEmbedContentResponses", + "readOnly": true + }, + "responsesFile": { "readOnly": true, - "description": "Output only. The model version used to generate the response.", + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", "type": "string" + } + } + }, + "EmbeddingUsageMetadata": { + "description": "Metadata on the usage of the embedding request.", + "type": "object", + "properties": { + "promptTokenDetails": { + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input.", + "type": "array", + "readOnly": true }, - "modelStatus": { - "description": "Output only. The current model status of this model.", + "promptTokenCount": { + "readOnly": true, + "description": "Output only. Number of tokens in the prompt.", + "type": "integer", + "format": "int32" + } + } + }, + "BatchEmbedContentsResponse": { + "description": "The response to a `BatchEmbedContentsRequest`.", + "type": "object", + "properties": { + "embeddings": { "readOnly": true, - "$ref": "#/components/schemas/ModelStatus" + "items": { + "$ref": "#/components/schemas/ContentEmbedding" + }, + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", + "type": "array" }, "usageMetadata": { "readOnly": true, - "$ref": "#/components/schemas/UsageMetadata", - "description": "Output only. Metadata on the generation requests' token usage." - }, - "candidates": { - "description": "Candidate responses from the model.", - "type": "array", + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata" + } + } + }, + "ListFileSearchStoresResponse": { + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", + "type": "object", + "properties": { + "fileSearchStores": { "items": { - "$ref": "#/components/schemas/Candidate" - } - }, - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" + "$ref": "#/components/schemas/FileSearchStore" + }, + "description": "The returned rag_stores.", + "type": "array" }, - "responseId": { - "readOnly": true, - "description": "Output only. response_id is used to identify each response.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" } - }, - "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", - "type": "object" + } }, - "ThinkingConfig": { + "InlinedEmbedContentRequest": { + "description": "The request to be processed in the batch.", + "type": "object", "properties": { - "includeThoughts": { - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", - "type": "boolean" - }, - "thinkingBudget": { - "description": "The number of thoughts tokens that the model should generate.", - "type": "integer", - "format": "int32" + "metadata": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The metadata to be associated with the request.", + "type": "object" }, - "thinkingLevel": { - "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." - ], - "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", - "type": "string", - "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" - ] + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/EmbedContentRequest" } - }, - "description": "Config for thinking features.", - "type": "object" + } }, - "Schema": { - "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", + "RegisterFilesResponse": { + "description": "Response for `RegisterFiles`.", "type": "object", "properties": { - "maxItems": { - "description": "Optional. Maximum number of the elements for Type.ARRAY.", - "type": "string", - "format": "int64" - }, - "required": { - "description": "Optional. Required properties of Type.OBJECT.", - "type": "array", + "files": { "items": { - "type": "string" - } - }, - "minimum": { - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" - }, - "maxProperties": { - "description": "Optional. Maximum number of the properties for Type.OBJECT.", - "type": "string", - "format": "int64" - }, - "minLength": { - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", - "type": "string", - "format": "int64" + "$ref": "#/components/schemas/File" + }, + "description": "The registered files to be used when calling GenerateContent.", + "type": "array" + } + } + }, + "UsageMetadata": { + "description": "Metadata on the generation request's token usage.", + "type": "object", + "properties": { + "candidatesTokensDetails": { + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were returned in the response.", + "type": "array", + "readOnly": true }, - "title": { - "description": "Optional. The title of the schema.", - "type": "string" + "toolUsePromptTokenCount": { + "description": "Output only. Number of tokens present in tool-use prompt(s).", + "type": "integer", + "format": "int32", + "readOnly": true }, - "anyOf": { + "cacheTokensDetails": { + "readOnly": true, "items": { - "$ref": "#/components/schemas/Schema" + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "description": "Output only. List of modalities of the cached content in the request input.", "type": "array" }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" - }, - "propertyOrdering": { - "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", - "type": "array", + "toolUsePromptTokensDetails": { "items": { - "type": "string" - } - }, - "default": { - "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed for tool-use request inputs.", + "type": "array", + "readOnly": true }, - "minItems": { - "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "serviceTier": { + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ], + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ], + "description": "Output only. Service tier of the request.", "type": "string", - "format": "int64" + "readOnly": true }, - "description": { - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", - "type": "string" + "promptTokenCount": { + "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", + "type": "integer", + "format": "int32" }, - "enum": { - "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", + "cachedContentTokenCount": { + "description": "Number of tokens in the cached part of the prompt (the cached content)", + "type": "integer", + "format": "int32" + }, + "promptTokensDetails": { + "readOnly": true, + "description": "Output only. List of modalities that were processed in the request input.", "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/ModalityTokenCount" } }, - "maximum": { - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" - }, - "maxLength": { - "description": "Optional. Maximum length of the Type.STRING", - "type": "string", - "format": "int64" - }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." - }, - "minProperties": { - "description": "Optional. Minimum number of the properties for Type.OBJECT.", - "type": "string", - "format": "int64" + "candidatesTokenCount": { + "description": "Total number of tokens across all the generated response candidates.", + "type": "integer", + "format": "int32" }, - "type": { - "x-enum-descriptions": [ - "Not specified, should not be used.", - "String type.", - "Number type.", - "Integer type.", - "Boolean type.", - "Array type.", - "Object type.", - "Null type." - ], - "description": "Required. Data type.", - "type": "string", - "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" - ] + "thoughtsTokenCount": { + "readOnly": true, + "description": "Output only. Number of tokens of thoughts for thinking models.", + "type": "integer", + "format": "int32" }, - "format": { - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", - "type": "string" + "totalTokenCount": { + "description": "Total token count for the generation request (prompt + thoughts + response candidates).", + "type": "integer", + "format": "int32" }, - "nullable": { - "description": "Optional. Indicates if the value may be null.", - "type": "boolean" + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", + "readOnly": true }, - "properties": { - "description": "Optional. Properties of Type.OBJECT.", - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/Schema" + "responseTokensDetails": { + "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" } - }, - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", - "type": "string" } } }, - "CitationMetadata": { - "properties": { - "citationSources": { - "items": { - "$ref": "#/components/schemas/CitationSource" - }, - "description": "Citations to sources for a specific response.", - "type": "array" - } - }, - "description": "A collection of source attributions for a piece of content.", - "type": "object" - }, - "GenerateContentRequest": { - "description": "Request to generate a completion from the model.", + "FunctionDeclaration": { + "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", "type": "object", "properties": { - "tools": { - "items": { - "$ref": "#/components/schemas/Tool" - }, - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", - "type": "array" - }, - "safetySettings": { - "items": { - "$ref": "#/components/schemas/SafetySetting" - }, - "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", - "type": "array" - }, - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" - }, - "store": { - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", - "type": "boolean" + "responseJsonSchema": { + "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "behavior": { + "enum": [ + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" + ], + "x-enum-descriptions": [ + "This value is unused.", + "If set, the system will wait to receive the function response before continuing the conversation.", + "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." + ], + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", "type": "string" }, - "toolConfig": { - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", - "$ref": "#/components/schemas/ToolConfig" + "parameters": { + "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", + "$ref": "#/components/schemas/Schema" }, - "contents": { - "items": { - "$ref": "#/components/schemas/Content" - }, - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", - "type": "array" + "response": { + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", + "$ref": "#/components/schemas/Schema" }, - "cachedContent": { - "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", + "description": { + "description": "Required. A brief description of the function.", "type": "string" }, - "serviceTier": { - "description": "Optional. The service tier of the request.", - "type": "string", - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ], - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ] + "name": { + "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", + "type": "string" }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" + "parametersJsonSchema": { + "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." } } }, - "UrlMetadata": { - "description": "Context of the a single url retrieval.", + "SafetySetting": { + "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", "type": "object", "properties": { - "retrievedUrl": { - "description": "Retrieved url by the tool.", - "type": "string" - }, - "urlRetrievalStatus": { + "category": { + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], "x-enum-descriptions": [ - "Default value. This value is unused.", - "Url retrieval is successful.", - "Url retrieval is failed due to error.", - "Url retrieval is failed because the content is behind paywall.", - "Url retrieval is failed because the content is unsafe." + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." ], - "description": "Status of the url retrieval.", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ], + "description": "Required. The category for this setting.", + "type": "string" + }, + "threshold": { + "description": "Required. Controls the probability threshold at which harm is blocked.", "type": "string", "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" + "HARM_BLOCK_THRESHOLD_UNSPECIFIED", + "BLOCK_LOW_AND_ABOVE", + "BLOCK_MEDIUM_AND_ABOVE", + "BLOCK_ONLY_HIGH", + "BLOCK_NONE", + "OFF" + ], + "x-enum-descriptions": [ + "Threshold is unspecified.", + "Content with NEGLIGIBLE will be allowed.", + "Content with NEGLIGIBLE and LOW will be allowed.", + "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", + "All content will be allowed.", + "Turn off the safety filter." ] } } }, - "InputEmbedContentConfig": { - "description": "Configures the input to the batch request.", + "CitationMetadata": { + "description": "A collection of source attributions for a piece of content.", "type": "object", "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" - }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" + "citationSources": { + "items": { + "$ref": "#/components/schemas/CitationSource" + }, + "description": "Citations to sources for a specific response.", + "type": "array" } } }, - "TuningExample": { - "properties": { - "output": { - "description": "Required. The expected model output.", - "type": "string" - }, - "textInput": { - "description": "Optional. Text model input.", - "type": "string" - } - }, - "description": "A single example for tuning.", - "type": "object" - }, - "TransferOwnershipRequest": { - "description": "Request to transfer the ownership of the tuned model.", + "GroundingMetadata": { + "description": "Metadata returned to client when grounding is enabled.", "type": "object", "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", - "type": "string" - } - } - }, - "Maps": { - "properties": { - "title": { - "description": "Title of the place.", - "type": "string" - }, - "placeAnswerSources": { - "description": "Sources that provide answers about the features of a given place in Google Maps.", - "$ref": "#/components/schemas/PlaceAnswerSources" - }, - "uri": { - "description": "URI reference of the place.", - "type": "string" - }, - "placeId": { - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", - "type": "string" - }, - "text": { - "description": "Text description of the place answer.", - "type": "string" - } - }, - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", - "type": "object" - }, - "EmbedContentResponse": { - "properties": { - "embedding": { - "readOnly": true, - "$ref": "#/components/schemas/ContentEmbedding", - "description": "Output only. The embedding generated from the input content." - }, - "usageMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata", - "description": "Output only. The usage metadata for the request." - } - }, - "description": "The response to an `EmbedContentRequest`.", - "type": "object" - }, - "CountTokensRequest": { - "properties": { - "contents": { - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", + "imageSearchQueries": { + "description": "Image search queries used for grounding.", "type": "array", "items": { - "$ref": "#/components/schemas/Content" + "type": "string" } }, - "generateContentRequest": { - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", - "$ref": "#/components/schemas/GenerateContentRequest" - } - }, - "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", - "type": "object" - }, - "CodeExecutionResult": { - "properties": { - "id": { - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", - "type": "string" + "groundingChunks": { + "items": { + "$ref": "#/components/schemas/GroundingChunk" + }, + "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", + "type": "array" }, - "output": { - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "searchEntryPoint": { + "description": "Optional. Google search entry for the following-up web searches.", + "$ref": "#/components/schemas/SearchEntryPoint" + }, + "retrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "$ref": "#/components/schemas/RetrievalMetadata" + }, + "googleMapsWidgetContextToken": { + "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", "type": "string" }, - "outcome": { - "x-enum-descriptions": [ - "Unspecified status. This value should not be used.", - "Code execution completed successfully. `output` contains the stdout, if any.", - "Code execution failed. `output` contains the stderr and stdout, if any.", - "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." - ], - "description": "Required. Outcome of the code execution.", - "type": "string", - "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" - ] + "groundingSupports": { + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + }, + "description": "List of grounding support.", + "type": "array" + }, + "webSearchQueries": { + "items": { + "type": "string" + }, + "description": "Web search queries for the following-up web search.", + "type": "array" } - }, - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", - "type": "object" + } }, - "GenerateContentBatchOutput": { + "TranslationConfig": { + "description": "Config for translation features.", + "type": "object", "properties": { - "responsesFile": { - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "type": "string", - "readOnly": true + "echoTargetLanguage": { + "description": "Optional. If true, the model will generate audio when the target language is spoken, essentially it will parrot the input. If false, we will not produce audio for the target language.", + "type": "boolean" }, - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "readOnly": true, - "$ref": "#/components/schemas/InlinedResponses" + "targetLanguageCode": { + "description": "Required. The target language for translation. Supported values are BCP-47 language codes (e.g. \"en\", \"es\", \"fr\").", + "type": "string" } - }, - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", - "type": "object" + } }, - "Image": { + "CodeExecution": { + "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", + "type": "object", + "properties": {} + }, + "Maps": { + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", + "type": "object", "properties": { - "sourceUri": { - "description": "The web page URI for attribution.", + "placeId": { + "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", "type": "string" }, - "imageUri": { - "description": "The image asset URL.", + "uri": { + "description": "URI reference of the place.", "type": "string" }, "title": { - "description": "The title of the web page that the image is from.", - "type": "string" - }, - "domain": { - "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "description": "Title of the place.", "type": "string" - } - }, - "description": "Chunk from image search.", - "type": "object" - }, - "ToolResponse": { - "properties": { - "toolType": { - "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", - "type": "string", - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ], - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ] }, - "id": { - "description": "Optional. The identifier of the tool call this response is for.", + "text": { + "description": "Text description of the place answer.", "type": "string" }, - "response": { - "description": "Optional. The tool response.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "placeAnswerSources": { + "description": "Sources that provide answers about the features of a given place in Google Maps.", + "$ref": "#/components/schemas/PlaceAnswerSources" } - }, - "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", - "type": "object" + } }, - "TuningTask": { + "ListCorporaResponse": { + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", + "type": "object", "properties": { - "snapshots": { - "readOnly": true, + "corpora": { "items": { - "$ref": "#/components/schemas/TuningSnapshot" + "$ref": "#/components/schemas/Corpus" }, - "description": "Output only. Metrics collected during tuning.", + "description": "The returned corpora.", "type": "array" }, - "startTime": { - "readOnly": true, - "description": "Output only. The timestamp when tuning this model started.", - "type": "string", - "format": "google-datetime" - }, - "hyperparameters": { - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", - "$ref": "#/components/schemas/Hyperparameters" - }, - "completeTime": { - "description": "Output only. The timestamp when tuning this model completed.", - "type": "string", - "format": "google-datetime", - "readOnly": true - }, - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } - }, - "description": "Tuning tasks that create tuned models.", - "type": "object" + } }, - "UrlContext": { - "description": "Tool to support URL context retrieval.", + "FunctionCallingConfig": { + "description": "Configuration for specifying function calling behavior.", "type": "object", - "properties": {} - }, - "DynamicRetrievalConfig": { "properties": { "mode": { - "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." - ], - "description": "The mode of the predictor to be used in dynamic retrieval.", + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", "type": "string", "enum": [ "MODE_UNSPECIFIED", - "MODE_DYNAMIC" - ] - }, - "dynamicThreshold": { - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "type": "number", - "format": "float" - } - }, - "description": "Describes the options to customize dynamic retrieval.", - "type": "object" - }, - "GoogleSearchRetrieval": { - "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" - } - }, - "description": "Tool to retrieve public web data for grounding, powered by Google.", - "type": "object" - }, - "ToolCall": { - "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", - "type": "object", - "properties": { - "id": { - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", - "type": "string" - }, - "toolType": { - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." + "AUTO", + "ANY", + "NONE", + "VALIDATED" ], - "description": "Required. The type of tool that was called.", - "type": "string", - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" + "x-enum-descriptions": [ + "Unspecified function calling mode. This value should not be used.", + "Default model behavior, model decides to predict either a function call or a natural language response.", + "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", + "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", + "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." ] }, - "args": { - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } - } - } - }, - "RegisterFilesRequest": { - "properties": { - "uris": { - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "allowedFunctionNames": { + "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", "type": "array", "items": { "type": "string" } } - }, - "description": "Request for `RegisterFiles`.", - "type": "object" - }, - "GroundingAttribution": { - "properties": { - "sourceId": { - "readOnly": true, - "$ref": "#/components/schemas/AttributionSourceId", - "description": "Output only. Identifier for the source contributing to this attribution." - }, - "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" - } - }, - "description": "Attribution for a source that contributed to an answer.", - "type": "object" + } }, - "RetrievedContext": { + "InlinedEmbedContentResponses": { + "description": "The responses to the requests in the batch.", + "type": "object", "properties": { - "fileSearchStore": { - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", - "type": "string" - }, - "title": { - "description": "Optional. Title of the document.", - "type": "string" - }, - "pageNumber": { - "description": "Optional. Page number of the retrieved context, if applicable.", - "type": "integer", - "format": "int32" - }, - "mediaId": { - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", - "type": "string" - }, - "uri": { - "description": "Optional. URI reference of the semantic retrieval document.", - "type": "string" - }, - "text": { - "description": "Optional. Text of the chunk.", - "type": "string" - }, - "customMetadata": { - "description": "Optional. User-provided metadata about the retrieved context.", + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch.", "type": "array", "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" - } + "$ref": "#/components/schemas/InlinedEmbedContentResponse" + }, + "readOnly": true } - }, - "description": "Chunk from context retrieved by the file search tool.", - "type": "object" + } }, - "GroundingChunkStringList": { - "description": "A list of string values.", + "CreateFileRequest": { + "description": "Request for `CreateFile`.", "type": "object", "properties": { - "values": { + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" + } + } + }, + "CreateFileResponse": { + "description": "Response for `CreateFile`.", + "type": "object", + "properties": { + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" + } + } + }, + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", + "type": "object", + "properties": { + "speakerVoiceConfigs": { "items": { - "type": "string" + "$ref": "#/components/schemas/SpeakerVoiceConfig" }, - "description": "The string values of the list.", + "description": "Required. All the enabled speaker voices.", "type": "array" } } }, - "WhiteSpaceConfig": { + "Interval": { + "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", + "type": "object", "properties": { - "maxOverlapTokens": { - "description": "Maximum number of overlapping tokens between two adjacent chunks.", - "type": "integer", - "format": "int32" + "startTime": { + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", + "type": "string", + "format": "google-datetime" }, - "maxTokensPerChunk": { - "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", - "type": "integer", - "format": "int32" + "endTime": { + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", + "type": "string", + "format": "google-datetime" } - }, - "description": "Configuration for a white space chunking algorithm [white space delimited].", - "type": "object" + } }, - "Document": { + "McpServer": { + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", + "type": "object", "properties": { - "displayName": { - "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" + }, + "name": { + "description": "The name of the MCPServer.", "type": "string" + } + } + }, + "BatchStats": { + "description": "Stats about the batch.", + "type": "object", + "properties": { + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", + "type": "string", + "format": "int64", + "readOnly": true }, - "sizeBytes": { - "description": "Output only. The size of raw bytes ingested into the Document.", + "failedRequestCount": { + "readOnly": true, + "description": "Output only. The number of requests that failed to be processed.", + "type": "string", + "format": "int64" + }, + "requestCount": { + "description": "Output only. The number of requests in the batch.", "type": "string", "format": "int64", "readOnly": true }, - "name": { - "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`", + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", + "type": "string", + "format": "int64", + "readOnly": true + } + } + }, + "TransferOwnershipRequest": { + "description": "Request to transfer the ownership of the tuned model.", + "type": "object", + "properties": { + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + "type": "string" + } + } + }, + "GenerateContentBatch": { + "description": "A resource representing a batch of `GenerateContent` requests.", + "type": "object", + "properties": { + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" - }, - "customMetadata": { - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", - "type": "array" }, "state": { - "readOnly": true, - "description": "Output only. Current state of the `Document`.", "enum": [ - "STATE_UNSPECIFIED", - "STATE_PENDING", - "STATE_ACTIVE", - "STATE_FAILED" + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" ], "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", - "All `Chunks` of the `Document` is processed and available for querying.", - "Some `Chunks` of the `Document` failed processing." + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." ], + "readOnly": true, + "description": "Output only. The state of the batch.", "type": "string" }, - "updateTime": { + "priority": { + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "type": "string", + "format": "int64" + }, + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputConfig" + }, + "createTime": { "readOnly": true, - "description": "Output only. The Timestamp of when the `Document` was last updated.", + "description": "Output only. The time at which the batch was created.", "type": "string", "format": "google-datetime" }, - "createTime": { + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" + }, + "batchStats": { "readOnly": true, - "description": "Output only. The Timestamp of when the `Document` was created.", + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/BatchStats" + }, + "endTime": { + "description": "Output only. The time at which the batch processing completed.", + "type": "string", + "format": "google-datetime", + "readOnly": true + }, + "updateTime": { + "readOnly": true, + "description": "Output only. The time at which the batch was last updated.", "type": "string", "format": "google-datetime" }, - "mimeType": { + "output": { "readOnly": true, - "description": "Output only. The mime type of the Document.", - "type": "string" + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/GenerateContentBatchOutput" + }, + "name": { + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "type": "string", + "readOnly": true } - }, - "description": "A `Document` is a collection of `Chunk`s.", - "type": "object" + } + }, + "Tool": { + "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", + "type": "object", + "properties": { + "functionDeclarations": { + "items": { + "$ref": "#/components/schemas/FunctionDeclaration" + }, + "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", + "type": "array" + }, + "googleMaps": { + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", + "$ref": "#/components/schemas/GoogleMaps" + }, + "codeExecution": { + "description": "Optional. Enables the model to execute code as part of generation.", + "$ref": "#/components/schemas/CodeExecution" + }, + "computerUse": { + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", + "$ref": "#/components/schemas/ComputerUse" + }, + "mcpServers": { + "items": { + "$ref": "#/components/schemas/McpServer" + }, + "description": "Optional. MCP Servers to connect to.", + "type": "array" + }, + "googleSearchRetrieval": { + "description": "Optional. Retrieval tool that is powered by Google search.", + "$ref": "#/components/schemas/GoogleSearchRetrieval" + }, + "googleSearch": { + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "$ref": "#/components/schemas/GoogleSearch" + }, + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" + }, + "fileSearch": { + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", + "$ref": "#/components/schemas/FileSearch" + } + } + }, + "InlinedEmbedContentRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "type": "object", + "properties": { + "requests": { + "description": "Required. The requests to be processed in the batch.", + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentRequest" + } + } + } }, - "ListCorporaResponse": { + "UrlContext": { + "description": "Tool to support URL context retrieval.", + "type": "object", + "properties": {} + }, + "ContentEmbedding": { + "description": "A list of floats representing an embedding.", + "type": "object", "properties": { - "corpora": { + "shape": { + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", + "type": "array", "items": { - "$ref": "#/components/schemas/Corpus" + "type": "integer", + "format": "int32" + } + }, + "values": { + "items": { + "type": "number", + "format": "float" }, - "description": "The returned corpora.", + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", "type": "array" - }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" } - }, - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", - "type": "object" + } }, - "Part": { - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "ListPermissionsResponse": { + "description": "Response from `ListPermissions` containing a paginated list of permissions.", "type": "object", "properties": { - "thoughtSignature": { - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", - "type": "string", - "format": "byte" - }, - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" - }, - "toolCall": { - "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", - "$ref": "#/components/schemas/ToolCall" - }, - "codeExecutionResult": { - "description": "Result of executing the `ExecutableCode`.", - "$ref": "#/components/schemas/CodeExecutionResult" - }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" - }, - "thought": { - "description": "Optional. Indicates if the part is thought from the model.", - "type": "boolean" - }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" - }, - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" - }, - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" + "permissions": { + "items": { + "$ref": "#/components/schemas/Permission" + }, + "description": "Returned permissions.", + "type": "array" }, - "text": { - "description": "Inline text.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" - }, - "toolResponse": { - "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", - "$ref": "#/components/schemas/ToolResponse" - }, - "partMetadata": { - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } - }, - "functionResponse": { - "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", - "$ref": "#/components/schemas/FunctionResponse" - }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" } } }, - "GoogleSearch": { - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "ListDocumentsResponse": { + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", "type": "object", "properties": { - "timeRangeFilter": { - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", - "$ref": "#/components/schemas/Interval" + "documents": { + "description": "The returned `Document`s.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Document" + } }, - "searchTypes": { - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", - "$ref": "#/components/schemas/SearchTypes" + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } } }, - "TuningSnapshot": { - "description": "Record for a single tuning step.", + "TunedModelSource": { + "description": "Tuned model as a source for training a new model.", "type": "object", "properties": { - "epoch": { - "description": "Output only. The epoch this step was part of.", - "type": "integer", - "format": "int32", - "readOnly": true - }, - "step": { - "readOnly": true, - "description": "Output only. The tuning step.", - "type": "integer", - "format": "int32" - }, - "computeTime": { - "description": "Output only. The timestamp when this metric was computed.", + "baseModel": { + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", "type": "string", - "format": "google-datetime", "readOnly": true }, - "meanLoss": { - "description": "Output only. The mean loss of the training examples for this step.", - "type": "number", - "format": "float", - "readOnly": true + "tunedModel": { + "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", + "type": "string" } } }, - "Model": { - "description": "Information about a Generative Language Model.", + "TransferOwnershipResponse": { + "description": "Response from `TransferOwnership`.", + "type": "object", + "properties": {} + }, + "SpeakerVoiceConfig": { + "description": "The configuration for a single speaker in a multi speaker setup.", "type": "object", "properties": { - "topK": { - "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", - "type": "integer", - "format": "int32" - }, - "description": { - "description": "A short description of the model.", - "type": "string" - }, - "outputTokenLimit": { - "description": "Maximum number of output tokens available for this model.", - "type": "integer", - "format": "int32" - }, - "displayName": { - "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", - "type": "string" - }, - "version": { - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", - "type": "string" - }, - "thinking": { - "description": "Whether the model supports thinking.", - "type": "boolean" - }, - "maxTemperature": { - "description": "The maximum temperature this model can use.", - "type": "number", - "format": "float" - }, - "baseModelId": { - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", - "type": "string" - }, - "temperature": { - "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", - "type": "number", - "format": "float" - }, - "name": { - "description": "Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * \"{base_model_id}-{version}\" Examples: * `models/gemini-1.5-flash-001`", + "speaker": { + "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", "type": "string" }, - "inputTokenLimit": { - "description": "Maximum number of input tokens allowed for this model.", - "type": "integer", - "format": "int32" - }, - "supportedGenerationMethods": { - "items": { - "type": "string" - }, - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", - "type": "array" - }, - "topP": { - "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", - "type": "number", - "format": "float" + "voiceConfig": { + "description": "Required. The configuration for the voice to use.", + "$ref": "#/components/schemas/VoiceConfig" } } }, - "GoogleMaps": { - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", + "RetrievalConfig": { + "description": "Retrieval config.", "type": "object", "properties": { - "enableWidget": { - "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", - "type": "boolean" + "latLng": { + "description": "Optional. The location of the user.", + "$ref": "#/components/schemas/LatLng" + }, + "languageCode": { + "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", + "type": "string" } } }, - "Web": { - "description": "Chunk from the web.", + "InlinedResponse": { + "description": "The response to a single request in the batch.", "type": "object", "properties": { - "title": { - "description": "Output only. Title of the chunk.", - "type": "string", + "error": { + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status", "readOnly": true }, - "uri": { - "description": "Output only. URI reference of the chunk.", - "type": "string", + "response": { + "readOnly": true, + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/GenerateContentResponse" + }, + "metadata": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Output only. The metadata associated with the request.", + "type": "object", "readOnly": true } } }, - "ListGeneratedFilesResponse": { - "description": "Response for `ListGeneratedFiles`.", + "GoogleSearchRetrieval": { + "description": "Tool to retrieve public web data for grounding, powered by Google.", "type": "object", "properties": { - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", - "type": "string" - }, - "generatedFiles": { - "description": "The list of `GeneratedFile`s.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GeneratedFile" - } + "dynamicRetrievalConfig": { + "description": "Specifies the dynamic retrieval configuration for the given source.", + "$ref": "#/components/schemas/DynamicRetrievalConfig" } } }, - "SemanticRetrieverChunk": { + "FileSearch": { + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", + "type": "object", "properties": { - "chunk": { - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", - "type": "string", - "readOnly": true + "fileSearchStoreNames": { + "items": { + "type": "string" + }, + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", + "type": "array" }, - "source": { - "readOnly": true, - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", + "topK": { + "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "type": "integer", + "format": "int32" + }, + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", "type": "string" } - }, - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", - "type": "object" + } }, - "InlinedResponses": { + "ListModelsResponse": { + "description": "Response from `ListModel` containing a paginated list of Models.", + "type": "object", "properties": { - "inlinedResponses": { - "readOnly": true, + "models": { "items": { - "$ref": "#/components/schemas/InlinedResponse" + "$ref": "#/components/schemas/Model" }, - "description": "Output only. The responses to the requests in the batch.", + "description": "The returned Models.", "type": "array" + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } - }, - "description": "The responses to the requests in the batch.", - "type": "object" + } }, - "Interval": { + "GroundingPassageId": { + "description": "Identifier for a part within a `GroundingPassage`.", + "type": "object", "properties": { - "endTime": { - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", - "type": "string", - "format": "google-datetime" + "passageId": { + "readOnly": true, + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", + "type": "string" }, - "startTime": { - "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", - "type": "string", - "format": "google-datetime" + "partIndex": { + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", + "type": "integer", + "format": "int32", + "readOnly": true } - }, - "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", - "type": "object" + } }, - "GeneratedFile": { - "description": "A file generated on behalf of a user.", + "Image": { + "description": "Chunk from image search.", "type": "object", "properties": { - "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "domain": { + "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", "type": "string" }, - "mimeType": { - "description": "MIME type of the generatedFile.", + "sourceUri": { + "description": "The web page URI for attribution.", "type": "string" }, - "state": { - "readOnly": true, - "description": "Output only. The state of the GeneratedFile.", - "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" - ], - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Being generated.", - "Generated and is ready for download.", - "Failed to generate the GeneratedFile." - ], + "title": { + "description": "The title of the web page that the image is from.", "type": "string" }, - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" + "imageUri": { + "description": "The image asset URL.", + "type": "string" } } }, - "ContentEmbedding": { - "description": "A list of floats representing an embedding.", + "Schema": { + "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", "type": "object", "properties": { - "values": { - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", - "type": "array", - "items": { - "type": "number", - "format": "float" - } + "maxProperties": { + "description": "Optional. Maximum number of the properties for Type.OBJECT.", + "type": "string", + "format": "int64" }, - "shape": { + "minimum": { + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", + "type": "number", + "format": "double" + }, + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." + }, + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" + }, + "required": { "items": { - "type": "integer", - "format": "int32" + "type": "string" }, - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", + "description": "Optional. Required properties of Type.OBJECT.", "type": "array" - } - } - }, - "ExecutableCode": { - "properties": { - "id": { - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", + }, + "pattern": { + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", "type": "string" }, - "language": { - "description": "Required. Programming language of the `code`.", + "propertyOrdering": { + "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", + "type": "array", + "items": { + "type": "string" + } + }, + "minItems": { + "description": "Optional. Minimum number of the elements for Type.ARRAY.", "type": "string", - "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" - ], - "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." - ] + "format": "int64" }, - "code": { - "description": "Required. The code to be executed.", - "type": "string" - } - }, - "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", - "type": "object" - }, - "SafetySetting": { - "properties": { - "threshold": { - "description": "Required. Controls the probability threshold at which harm is blocked.", + "minProperties": { + "description": "Optional. Minimum number of the properties for Type.OBJECT.", "type": "string", - "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" - ], - "x-enum-descriptions": [ - "Threshold is unspecified.", - "Content with NEGLIGIBLE will be allowed.", - "Content with NEGLIGIBLE and LOW will be allowed.", - "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", - "All content will be allowed.", - "Turn off the safety filter." - ] + "format": "int64" }, - "category": { - "description": "Required. The category for this setting.", - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" + }, + "maximum": { + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", + "type": "number", + "format": "double" + }, + "type": { "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + "Not specified, should not be used.", + "String type.", + "Number type.", + "Integer type.", + "Boolean type.", + "Array type.", + "Object type.", + "Null type." ], - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true + "enum": [ + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" ], + "description": "Required. Data type.", "type": "string" - } - }, - "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", - "type": "object" - }, - "ComputerUse": { - "description": "Computer Use tool type.", - "type": "object", - "properties": { - "environment": { - "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser." - ], - "description": "Required. The environment being operated.", + }, + "minLength": { + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", "type": "string", - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER" - ] + "format": "int64" }, - "excludedPredefinedFunctions": { - "items": { - "type": "string" - }, - "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", - "type": "array" - } - } - }, - "RegisterFilesResponse": { - "properties": { - "files": { + "anyOf": { "items": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/Schema" }, - "description": "The registered files to be used when calling GenerateContent.", + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", "type": "array" - } - }, - "description": "Response for `RegisterFiles`.", - "type": "object" - }, - "InlinedEmbedContentRequest": { - "description": "The request to be processed in the batch.", - "type": "object", - "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", + "properties": { + "description": "Optional. Properties of Type.OBJECT.", "type": "object", "additionalProperties": { - "description": "Properties of the object." + "$ref": "#/components/schemas/Schema" } - } - } - }, - "EmbedContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", - "type": "object", - "properties": { - "responsesFile": { - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "type": "string", - "readOnly": true - }, - "inlinedResponses": { - "readOnly": true, - "$ref": "#/components/schemas/InlinedEmbedContentResponses", - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." - } - } - }, - "Dataset": { - "properties": { - "examples": { - "description": "Optional. Inline examples with simple input/output text.", - "$ref": "#/components/schemas/TuningExamples" - } - }, - "description": "Dataset for training or validation.", - "type": "object" - }, - "ListTunedModelsResponse": { - "description": "Response from `ListTunedModels` containing a paginated list of Models.", - "type": "object", - "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" }, - "tunedModels": { + "enum": { "items": { - "$ref": "#/components/schemas/TunedModel" + "type": "string" }, - "description": "The returned Models.", + "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", "type": "array" - } - } - }, - "EmbedContentRequest": { - "description": "Request containing the `Content` for the model to embed.", - "type": "object", - "properties": { - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" }, - "taskType": { - "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ], - "deprecated": true, + "maxLength": { + "description": "Optional. Maximum length of the Type.STRING", "type": "string", - "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." - ] + "format": "int64" }, - "outputDimensionality": { - "deprecated": true, - "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", - "type": "integer", - "format": "int32" + "format": { + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", + "type": "string" }, - "model": { - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", "type": "string" }, - "title": { - "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", + "default": { + "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." + }, + "maxItems": { + "description": "Optional. Maximum number of the elements for Type.ARRAY.", "type": "string", - "deprecated": true + "format": "int64" }, - "embedContentConfig": { - "description": "Optional. Configuration for the EmbedContent request.", - "$ref": "#/components/schemas/EmbedContentConfig" + "title": { + "description": "Optional. The title of the schema.", + "type": "string" } } }, - "CachedContentUsageMetadata": { - "properties": { - "totalTokenCount": { - "description": "Total number of tokens that the cached content consumes.", - "type": "integer", - "format": "int32" - } - }, - "description": "Metadata on the usage of the cached content.", - "type": "object" - }, - "LogprobsResultCandidate": { + "ImageResponseFormat": { + "description": "Configuration for image output format.", + "type": "object", "properties": { - "tokenId": { - "description": "The candidate\u2019s token id value.", - "type": "integer", - "format": "int32" + "delivery": { + "enum": [ + "DELIVERY_UNSPECIFIED", + "INLINE", + "URI" + ], + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Image data is returned inline in the response.", + "Image data is returned as a URI." + ], + "description": "Optional. The delivery mode for the image output.", + "type": "string" + }, + "aspectRatio": { + "description": "Optional. The aspect ratio for the image output.", + "type": "string", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "1:1 aspect ratio.", + "2:3 aspect ratio.", + "3:2 aspect ratio.", + "3:4 aspect ratio.", + "4:3 aspect ratio.", + "4:5 aspect ratio.", + "5:4 aspect ratio.", + "9:16 aspect ratio.", + "16:9 aspect ratio.", + "21:9 aspect ratio.", + "1:8 aspect ratio.", + "8:1 aspect ratio.", + "1:4 aspect ratio.", + "4:1 aspect ratio." + ], + "enum": [ + "ASPECT_RATIO_UNSPECIFIED", + "ASPECT_RATIO_ONE_BY_ONE", + "ASPECT_RATIO_TWO_BY_THREE", + "ASPECT_RATIO_THREE_BY_TWO", + "ASPECT_RATIO_THREE_BY_FOUR", + "ASPECT_RATIO_FOUR_BY_THREE", + "ASPECT_RATIO_FOUR_BY_FIVE", + "ASPECT_RATIO_FIVE_BY_FOUR", + "ASPECT_RATIO_NINE_BY_SIXTEEN", + "ASPECT_RATIO_SIXTEEN_BY_NINE", + "ASPECT_RATIO_TWENTY_ONE_BY_NINE", + "ASPECT_RATIO_ONE_BY_EIGHT", + "ASPECT_RATIO_EIGHT_BY_ONE", + "ASPECT_RATIO_ONE_BY_FOUR", + "ASPECT_RATIO_FOUR_BY_ONE" + ] }, - "token": { - "description": "The candidate\u2019s token string value.", - "type": "string" + "mimeType": { + "description": "Optional. The MIME type of the image output.", + "type": "string", + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "IMAGE_JPEG" + ], + "x-enum-descriptions": [ + "Default value. This value is unused.", + "JPEG image format." + ] }, - "logProbability": { - "description": "The candidate's log probability.", - "type": "number", - "format": "float" - } - }, - "description": "Candidate for the logprobs token and score.", - "type": "object" - }, - "PromptFeedback": { - "properties": { - "blockReason": { + "imageSize": { "x-enum-descriptions": [ "Default value. This value is unused.", - "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", - "Prompt was blocked due to unknown reasons.", - "Prompt was blocked due to the terms which are included from the terminology blocklist.", - "Prompt was blocked due to prohibited content.", - "Candidates blocked due to unsafe image generation content." + "512px image size.", + "1K image size.", + "2K image size.", + "4K image size." ], - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", - "type": "string", "enum": [ - "BLOCK_REASON_UNSPECIFIED", - "SAFETY", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "IMAGE_SAFETY" - ] - }, - "safetyRatings": { - "items": { - "$ref": "#/components/schemas/SafetyRating" - }, - "description": "Ratings for safety of the prompt. There is at most one rating per category.", - "type": "array" + "IMAGE_SIZE_UNSPECIFIED", + "IMAGE_SIZE_FIVE_TWELVE", + "IMAGE_SIZE_ONE_K", + "IMAGE_SIZE_TWO_K", + "IMAGE_SIZE_FOUR_K" + ], + "description": "Optional. The size of the image output.", + "type": "string" } - }, - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", - "type": "object" + } }, - "InputConfig": { - "description": "Configures the input to the batch request.", + "EmbedContentResponse": { + "description": "The response to an `EmbedContentRequest`.", "type": "object", "properties": { - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedRequests" + "usageMetadata": { + "readOnly": true, + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata" }, - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" + "embedding": { + "readOnly": true, + "description": "Output only. The embedding generated from the input content.", + "$ref": "#/components/schemas/ContentEmbedding" } } }, - "TransferOwnershipResponse": { - "properties": {}, - "description": "Response from `TransferOwnership`.", - "type": "object" + "WebSearch": { + "description": "Standard web search for grounding and related configurations.", + "type": "object", + "properties": {} }, - "FunctionCall": { + "CustomLongRunningOperation": { + "type": "object", "properties": { - "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", - "type": "string" + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" }, - "args": { - "description": "Optional. The function parameters and values in JSON object format.", + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" + }, + "response": { + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", "type": "object", "additionalProperties": { - "description": "Properties of the object." + "description": "Properties of the object. Contains field @type with type URL." } }, - "id": { - "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", "type": "string" - } - }, - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "type": "object" - }, - "AttributionSourceId": { - "properties": { - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" - }, - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" - } - }, - "description": "Identifier for the source contributing to this attribution.", - "type": "object" - }, - "EmbeddingUsageMetadata": { - "description": "Metadata on the usage of the embedding request.", - "type": "object", - "properties": { - "promptTokenCount": { - "description": "Output only. Number of tokens in the prompt.", - "type": "integer", - "format": "int32", - "readOnly": true }, - "promptTokenDetails": { - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "metadata": { + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." } } } }, - "TunedModelSource": { - "description": "Tuned model as a source for training a new model.", - "type": "object", - "properties": { - "tunedModel": { - "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", - "type": "string" - }, - "baseModel": { - "readOnly": true, - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", - "type": "string" - } - } - }, - "CitationSource": { - "properties": { - "startIndex": { - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", - "type": "integer", - "format": "int32" - }, - "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", - "type": "string" - }, - "license": { - "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", - "type": "string" - }, - "endIndex": { - "description": "Optional. End of the attributed segment, exclusive.", - "type": "integer", - "format": "int32" - } - }, - "description": "A citation to a source for a portion of a specific response.", - "type": "object" - }, - "SafetyRating": { - "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", - "type": "object", - "properties": { - "probability": { - "x-enum-descriptions": [ - "Probability is unspecified.", - "Content has a negligible chance of being unsafe.", - "Content has a low chance of being unsafe.", - "Content has a medium chance of being unsafe.", - "Content has a high chance of being unsafe." - ], - "description": "Required. The probability of harm for this content.", - "type": "string", - "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", - "LOW", - "MEDIUM", - "HIGH" - ] - }, - "category": { - "type": "string", - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ], - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], - "description": "Required. The category for this rating.", - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ] - }, - "blocked": { - "description": "Was this content blocked because of this rating?", - "type": "boolean" + "Dataset": { + "description": "Dataset for training or validation.", + "type": "object", + "properties": { + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" } } }, - "SearchEntryPoint": { - "description": "Google search entry point.", + "ImageSearch": { + "description": "Image search for grounding and related configurations.", + "type": "object", + "properties": {} + }, + "GenerateContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", "type": "object", "properties": { - "renderedContent": { - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", - "type": "string" + "inlinedResponses": { + "readOnly": true, + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "$ref": "#/components/schemas/InlinedResponses" }, - "sdkBlob": { - "description": "Optional. Base64 encoded JSON representing array of tuple.", + "responsesFile": { + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", "type": "string", - "format": "byte" + "readOnly": true } } }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", + "PromptFeedback": { + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", "type": "object", "properties": { - "values": { + "blockReason": { + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", + "Prompt was blocked due to unknown reasons.", + "Prompt was blocked due to the terms which are included from the terminology blocklist.", + "Prompt was blocked due to prohibited content.", + "Candidates blocked due to unsafe image generation content." + ], + "enum": [ + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ], + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "type": "string" + }, + "safetyRatings": { "items": { - "type": "string" + "$ref": "#/components/schemas/SafetyRating" }, - "description": "The string values of the metadata to store.", + "description": "Ratings for safety of the prompt. There is at most one rating per category.", "type": "array" } } }, - "FileData": { + "Permission": { + "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", + "type": "object", "properties": { - "mimeType": { - "description": "Optional. The IANA standard MIME type of the source data.", + "granteeType": { + "enum": [ + "GRANTEE_TYPE_UNSPECIFIED", + "USER", + "GROUP", + "EVERYONE" + ], + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Represents a user. When set, you must provide email_address for the user.", + "Represents a group. When set, you must provide email_address for the group.", + "Represents access to everyone. No extra information is required." + ], + "description": "Optional. Immutable. The type of the grantee.", "type": "string" }, - "fileUri": { - "description": "Required. URI.", + "role": { + "enum": [ + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" + ], + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Owner can use, update, share and delete the resource.", + "Writer can use, update and share the resource.", + "Reader can use the resource." + ], + "description": "Required. The role granted by this permission.", "type": "string" - } - }, - "description": "URI based data.", - "type": "object" - }, - "InlinedRequests": { - "properties": { - "requests": { - "items": { - "$ref": "#/components/schemas/InlinedRequest" - }, - "description": "Required. The requests to be processed in the batch.", - "type": "array" - } - }, - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", - "type": "object" - }, - "InlinedResponse": { - "description": "The response to a single request in the batch.", - "type": "object", - "properties": { - "response": { - "readOnly": true, - "$ref": "#/components/schemas/GenerateContentResponse", - "description": "Output only. The response to the request." }, - "error": { - "description": "Output only. The error encountered while processing the request.", + "name": { "readOnly": true, - "$ref": "#/components/schemas/Status" + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "type": "string" }, - "metadata": { - "readOnly": true, - "description": "Output only. The metadata associated with the request.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "emailAddress": { + "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE.", + "type": "string" } } }, - "EmbedContentBatchStats": { - "description": "Stats about the batch.", + "BatchGenerateContentRequest": { + "description": "Request for a `BatchGenerateContent` operation.", "type": "object", "properties": { - "pendingRequestCount": { - "readOnly": true, - "description": "Output only. The number of requests that are still pending processing.", - "type": "string", - "format": "int64" - }, - "failedRequestCount": { - "description": "Output only. The number of requests that failed to be processed.", - "type": "string", - "format": "int64", - "readOnly": true - }, - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "type": "string", - "format": "int64", - "readOnly": true - }, - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", - "type": "string", - "format": "int64", - "readOnly": true + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/GenerateContentBatch" } } }, - "PrebuiltVoiceConfig": { - "properties": { - "voiceName": { - "description": "The name of the preset voice to use.", - "type": "string" - } - }, - "description": "The configuration for the prebuilt speaker to use.", - "type": "object" - }, - "ListCachedContentsResponse": { + "TunedModel": { + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", + "type": "object", "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", - "type": "string" + "tuningTask": { + "description": "Required. The tuning task that creates the tuned model.", + "$ref": "#/components/schemas/TuningTask" }, - "cachedContents": { + "readerProjectNumbers": { "items": { - "$ref": "#/components/schemas/CachedContent" + "type": "string", + "format": "int64" }, - "description": "List of cached contents.", + "description": "Optional. List of project numbers that have read access to the tuned model.", "type": "array" - } - }, - "description": "Response with CachedContents list.", - "type": "object" - }, - "Candidate": { - "properties": { - "tokenCount": { - "description": "Output only. Token count for this candidate.", - "type": "integer", - "format": "int32", + }, + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" + }, + "name": { + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "type": "string", "readOnly": true }, - "index": { - "description": "Output only. Index of the candidate in the list of response candidates.", + "topP": { + "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", + "type": "number", + "format": "float" + }, + "displayName": { + "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", + "type": "string" + }, + "topK": { + "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", "type": "integer", - "format": "int32", - "readOnly": true + "format": "int32" }, - "citationMetadata": { + "description": { + "description": "Optional. A short description of this model.", + "type": "string" + }, + "baseModel": { + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "type": "string" + }, + "temperature": { + "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", + "type": "number", + "format": "float" + }, + "createTime": { + "readOnly": true, + "description": "Output only. The timestamp when this model was created.", + "type": "string", + "format": "google-datetime" + }, + "state": { "readOnly": true, - "$ref": "#/components/schemas/CitationMetadata", - "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data." + "description": "Output only. The state of the tuned model.", + "type": "string", + "x-enum-descriptions": [ + "The default value. This value is unused.", + "The model is being created.", + "The model is ready to be used.", + "The model failed to be created." + ], + "enum": [ + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ] }, - "logprobsResult": { - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "updateTime": { "readOnly": true, - "$ref": "#/components/schemas/LogprobsResult" + "description": "Output only. The timestamp when this model was updated.", + "type": "string", + "format": "google-datetime" + } + } + }, + "EmbedContentBatch": { + "description": "A resource representing a batch of `EmbedContent` requests.", + "type": "object", + "properties": { + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" }, - "urlContextMetadata": { + "batchStats": { "readOnly": true, - "$ref": "#/components/schemas/UrlContextMetadata", - "description": "Output only. Metadata related to url context retrieval tool." + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/EmbedContentBatchStats" }, - "groundingMetadata": { - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", - "readOnly": true, - "$ref": "#/components/schemas/GroundingMetadata" + "endTime": { + "description": "Output only. The time at which the batch processing completed.", + "type": "string", + "format": "google-datetime", + "readOnly": true }, - "avgLogprobs": { - "description": "Output only. Average log probability score of the candidate.", - "type": "number", - "format": "double", + "updateTime": { + "description": "Output only. The time at which the batch was last updated.", + "type": "string", + "format": "google-datetime", "readOnly": true }, - "content": { - "description": "Output only. Generated content returned from the model.", + "output": { + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/EmbedContentBatchOutput", + "readOnly": true + }, + "name": { "readOnly": true, - "$ref": "#/components/schemas/Content" + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "type": "string" }, - "safetyRatings": { - "items": { - "$ref": "#/components/schemas/SafetyRating" - }, - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", - "type": "array" + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" }, - "groundingAttributions": { - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", - "type": "array", + "state": { "readOnly": true, - "items": { - "$ref": "#/components/schemas/GroundingAttribution" - } - }, - "finishReason": { - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", + "description": "Output only. The state of the batch.", + "type": "string", "enum": [ - "FINISH_REASON_UNSPECIFIED", - "STOP", - "MAX_TOKENS", - "SAFETY", - "RECITATION", - "LANGUAGE", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "SPII", - "MALFORMED_FUNCTION_CALL", - "IMAGE_SAFETY", - "IMAGE_PROHIBITED_CONTENT", - "IMAGE_OTHER", - "NO_IMAGE", - "IMAGE_RECITATION", - "UNEXPECTED_TOOL_CALL", - "TOO_MANY_TOOL_CALLS", - "MISSING_THOUGHT_SIGNATURE", - "MALFORMED_RESPONSE", - "ESCALATION" + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" ], - "readOnly": true, - "type": "string", "x-enum-descriptions": [ - "Default value. This value is unused.", - "Natural stop point of the model or provided stop sequence.", - "The maximum number of tokens as specified in the request was reached.", - "The response candidate content was flagged for safety reasons.", - "The response candidate content was flagged for recitation reasons.", - "The response candidate content was flagged for using an unsupported language.", - "Unknown reason.", - "Token generation stopped because the content contains forbidden terms.", - "Token generation stopped for potentially containing prohibited content.", - "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", - "The function call generated by the model is invalid.", - "Token generation stopped because generated images contain safety violations.", - "Image generation stopped because generated images has other prohibited content.", - "Image generation stopped because of other miscellaneous issue.", - "The model was expected to generate an image, but none was generated.", - "Image generation stopped due to recitation.", - "Model generated a tool call but no tools were enabled in the request.", - "Model called too many tools consecutively, thus the system exited execution.", - "Request has at least one thought signature missing.", - "Finished due to malformed response.", - "Request was filtered by an escalation rule." + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." ] }, - "finishMessage": { + "priority": { + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "type": "string", + "format": "int64" + }, + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" + }, + "createTime": { "readOnly": true, - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", - "type": "string" + "description": "Output only. The time at which the batch was created.", + "type": "string", + "format": "google-datetime" } - }, - "description": "A response candidate generated from the model.", - "type": "object" + } }, - "UploadToFileSearchStoreRequest": { - "description": "Request for `UploadToFileSearchStore`.", + "FunctionResponse": { + "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", "type": "object", "properties": { - "displayName": { - "description": "Optional. Display name of the created document.", - "type": "string" - }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "response": { + "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model. Multimedia can be included by using a subobject containing a single \"$ref\" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } }, - "customMetadata": { + "parts": { + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", + "type": "array", "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the data.", - "type": "array" + "$ref": "#/components/schemas/FunctionResponsePart" + } }, - "mimeType": { - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", + "name": { + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", + "type": "string" + }, + "willContinue": { + "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", + "type": "boolean" + }, + "id": { + "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", "type": "string" + }, + "scheduling": { + "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", + "type": "string", + "enum": [ + "SCHEDULING_UNSPECIFIED", + "SILENT", + "WHEN_IDLE", + "INTERRUPT" + ], + "x-enum-descriptions": [ + "This value is unused.", + "Only add the result to the conversation context, do not interrupt or trigger generation.", + "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", + "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." + ] } } }, - "InlinedEmbedContentResponse": { + "TextResponseFormat": { + "description": "Configuration for text output format.", + "type": "object", "properties": { - "response": { - "description": "Output only. The response to the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentResponse" - }, - "error": { - "description": "Output only. The error encountered while processing the request.", - "readOnly": true, - "$ref": "#/components/schemas/Status" + "mimeType": { + "description": "Optional. The MIME type of the text output.", + "type": "string", + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "APPLICATION_JSON", + "TEXT_PLAIN" + ], + "x-enum-descriptions": [ + "Default value. This value is unused.", + "JSON output format.", + "Plain text output format." + ] }, - "metadata": { - "readOnly": true, - "description": "Output only. The metadata associated with the request.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "schema": { + "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." } - }, - "description": "The response to a single request in the batch.", - "type": "object" + } }, - "McpServer": { - "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", + "TuningExamples": { + "description": "A set of tuning examples. Can be training or validation data.", "type": "object", "properties": { - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" - }, - "name": { - "description": "The name of the MCPServer.", - "type": "string" + "examples": { + "items": { + "$ref": "#/components/schemas/TuningExample" + }, + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", + "type": "array" + } + } + }, + "RetrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "type": "object", + "properties": { + "googleSearchDynamicRetrievalScore": { + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", + "type": "number", + "format": "float" } } }, - "FunctionCallingConfig": { - "description": "Configuration for specifying function calling behavior.", + "StringList": { + "description": "User provided string values assigned to a single metadata key.", "type": "object", "properties": { - "mode": { - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", - "type": "string", - "enum": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" - ], - "x-enum-descriptions": [ - "Unspecified function calling mode. This value should not be used.", - "Default model behavior, model decides to predict either a function call or a natural language response.", - "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", - "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", - "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." - ] - }, - "allowedFunctionNames": { - "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", - "type": "array", + "values": { "items": { "type": "string" - } + }, + "description": "The string values of the metadata to store.", + "type": "array" } } }, - "Tool": { - "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", + "TuningSnapshot": { + "description": "Record for a single tuning step.", "type": "object", "properties": { - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" - }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" - }, - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" - }, - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" - }, - "googleMaps": { - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", - "$ref": "#/components/schemas/GoogleMaps" - }, - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" + "meanLoss": { + "readOnly": true, + "description": "Output only. The mean loss of the training examples for this step.", + "type": "number", + "format": "float" }, - "mcpServers": { - "items": { - "$ref": "#/components/schemas/McpServer" - }, - "description": "Optional. MCP Servers to connect to.", - "type": "array" + "step": { + "description": "Output only. The tuning step.", + "type": "integer", + "format": "int32", + "readOnly": true }, - "functionDeclarations": { - "items": { - "$ref": "#/components/schemas/FunctionDeclaration" - }, - "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", - "type": "array" + "computeTime": { + "description": "Output only. The timestamp when this metric was computed.", + "type": "string", + "format": "google-datetime", + "readOnly": true }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" + "epoch": { + "description": "Output only. The epoch this step was part of.", + "type": "integer", + "format": "int32", + "readOnly": true } } }, - "EmbedContentConfig": { - "description": "Configurations for the EmbedContent request.", + "GenerationConfig": { + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "type": "object", "properties": { - "documentOcr": { - "description": "Optional. Whether to enable OCR for document content.", + "imageConfig": { + "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", + "$ref": "#/components/schemas/ImageConfig" + }, + "seed": { + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", + "type": "integer", + "format": "int32" + }, + "topP": { + "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "type": "number", + "format": "float" + }, + "topK": { + "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "type": "integer", + "format": "int32" + }, + "responseLogprobs": { + "description": "Optional. If true, export the logprobs results in response.", "type": "boolean" }, - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", "type": "boolean" }, - "taskType": { - "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." - ], - "description": "Optional. The task type of the embedding.", + "stopSequences": { + "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", + "type": "array", + "items": { + "type": "string" + } + }, + "speechConfig": { + "description": "Optional. The speech generation config.", + "$ref": "#/components/schemas/SpeechConfig" + }, + "mediaResolution": { + "description": "Optional. If specified, the media resolution specified will be used.", "type": "string", "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" + "MEDIA_RESOLUTION_UNSPECIFIED", + "MEDIA_RESOLUTION_LOW", + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" + ], + "x-enum-descriptions": [ + "Media resolution has not been set.", + "Media resolution set to low (64 tokens).", + "Media resolution set to medium (256 tokens).", + "Media resolution set to high (zoomed reframing with 256 tokens)." ] }, - "outputDimensionality": { - "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", + "candidateCount": { + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", "type": "integer", "format": "int32" }, - "audioTrackExtraction": { - "description": "Optional. Whether to extract audio from video content.", - "type": "boolean" + "frequencyPenalty": { + "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", + "type": "number", + "format": "float" }, - "title": { - "description": "Optional. The title for the text.", + "thinkingConfig": { + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", + "$ref": "#/components/schemas/ThinkingConfig" + }, + "maxOutputTokens": { + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", + "type": "integer", + "format": "int32" + }, + "presencePenalty": { + "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", + "type": "number", + "format": "float" + }, + "logprobs": { + "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", + "type": "integer", + "format": "int32" + }, + "responseFormat": { + "description": "Optional. Configuration for the response output format. Allows specifying output configuration per modality (text, audio, image) in a flat structure.", + "$ref": "#/components/schemas/ResponseFormatConfig" + }, + "responseMimeType": { + "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types.", "type": "string" + }, + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + }, + "temperature": { + "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", + "type": "number", + "format": "float" + }, + "translationConfig": { + "description": "Optional. Config for translation.", + "$ref": "#/components/schemas/TranslationConfig" + }, + "responseModalities": { + "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", + "type": "array", + "items": { + "type": "string", + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "VIDEO" + ], + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ] + } + }, + "responseSchema": { + "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", + "$ref": "#/components/schemas/Schema" } } }, - "VideoMetadata": { - "properties": { - "endOffset": { - "description": "Optional. The end offset of the video.", - "type": "string", - "format": "google-duration" - }, - "fps": { - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", + "LatLng": { + "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", + "type": "object", + "properties": { + "latitude": { + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", "type": "number", "format": "double" }, - "startOffset": { - "description": "Optional. The start offset of the video.", - "type": "string", - "format": "google-duration" + "longitude": { + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "type": "number", + "format": "double" } - }, - "type": "object", - "deprecated": true, - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content." + } }, "AudioResponseFormat": { "description": "Configuration for audio output format.", "type": "object", "properties": { - "mimeType": { - "description": "Optional. The MIME type of the audio output.", - "type": "string", - "enum": [ - "MIME_TYPE_UNSPECIFIED", - "AUDIO_MP3", - "AUDIO_OGG_OPUS", - "AUDIO_L16", - "AUDIO_WAV", - "AUDIO_ALAW", - "AUDIO_MULAW" - ], - "x-enum-descriptions": [ - "Default value. This value is unused.", - "MP3 audio format.", - "OGG Opus audio format.", - "Raw PCM (L16) audio format.", - "WAV audio format.", - "A-law audio format.", - "Mu-law audio format." - ] - }, "sampleRate": { "description": "Optional. Sample rate in Hz.", "type": "integer", "format": "int32" }, - "bitRate": { - "description": "Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).", - "type": "integer", - "format": "int32" - }, "delivery": { "description": "Optional. The delivery mode for the audio output.", "type": "string", - "enum": [ - "DELIVERY_UNSPECIFIED", - "INLINE", - "URI" - ], "x-enum-descriptions": [ "Default value. This value is unused.", "Audio data is returned inline in the response.", "Audio data is returned as a URI." + ], + "enum": [ + "DELIVERY_UNSPECIFIED", + "INLINE", + "URI" ] - } - } - }, - "InlinedEmbedContentRequests": { - "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" - } - } - }, - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", - "type": "object" - }, - "CustomLongRunningOperation": { - "type": "object", - "properties": { - "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", - "type": "string" - }, - "response": { - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" - }, - "metadata": { - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } }, - "done": { - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", - "type": "boolean" - } - } - }, - "TextResponseFormat": { - "properties": { "mimeType": { "x-enum-descriptions": [ "Default value. This value is unused.", - "JSON output format.", - "Plain text output format." + "MP3 audio format.", + "OGG Opus audio format.", + "Raw PCM (L16) audio format.", + "WAV audio format.", + "A-law audio format.", + "Mu-law audio format." ], - "description": "Optional. The MIME type of the text output.", - "type": "string", "enum": [ "MIME_TYPE_UNSPECIFIED", - "APPLICATION_JSON", - "TEXT_PLAIN" - ] - }, - "schema": { - "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." - } - }, - "description": "Configuration for text output format.", - "type": "object" - }, - "GroundingPassageId": { - "description": "Identifier for a part within a `GroundingPassage`.", - "type": "object", - "properties": { - "passageId": { - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", - "type": "string", - "readOnly": true + "AUDIO_MP3", + "AUDIO_OGG_OPUS", + "AUDIO_L16", + "AUDIO_WAV", + "AUDIO_ALAW", + "AUDIO_MULAW" + ], + "description": "Optional. The MIME type of the audio output.", + "type": "string" }, - "partIndex": { - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", + "bitRate": { + "description": "Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).", "type": "integer", - "format": "int32", - "readOnly": true - } - } - }, - "SpeechConfig": { - "description": "Config for speech generation and transcription.", - "type": "object", - "properties": { - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" - }, - "voiceConfig": { - "description": "The configuration in case of single-voice output.", - "$ref": "#/components/schemas/VoiceConfig" - }, - "languageCode": { - "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", - "type": "string" + "format": "int32" } } }, "VideoFileMetadata": { - "properties": { - "videoDuration": { - "description": "Duration of the video.", - "type": "string", - "format": "google-duration" - } - }, "description": "Metadata for a video `File`.", - "type": "object" - }, - "ImageResponseFormat": { - "description": "Configuration for image output format.", - "type": "object", - "properties": { - "delivery": { - "description": "Optional. The delivery mode for the image output.", - "type": "string", - "enum": [ - "DELIVERY_UNSPECIFIED", - "INLINE", - "URI" - ], - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Image data is returned inline in the response.", - "Image data is returned as a URI." - ] - }, - "imageSize": { - "description": "Optional. The size of the image output.", - "type": "string", - "enum": [ - "IMAGE_SIZE_UNSPECIFIED", - "IMAGE_SIZE_FIVE_TWELVE", - "IMAGE_SIZE_ONE_K", - "IMAGE_SIZE_TWO_K", - "IMAGE_SIZE_FOUR_K" - ], - "x-enum-descriptions": [ - "Default value. This value is unused.", - "512px image size.", - "1K image size.", - "2K image size.", - "4K image size." - ] - }, - "mimeType": { - "x-enum-descriptions": [ - "Default value. This value is unused.", - "JPEG image format." - ], - "description": "Optional. The MIME type of the image output.", - "type": "string", - "enum": [ - "MIME_TYPE_UNSPECIFIED", - "IMAGE_JPEG" - ] - }, - "aspectRatio": { - "x-enum-descriptions": [ - "Default value. This value is unused.", - "1:1 aspect ratio.", - "2:3 aspect ratio.", - "3:2 aspect ratio.", - "3:4 aspect ratio.", - "4:3 aspect ratio.", - "4:5 aspect ratio.", - "5:4 aspect ratio.", - "9:16 aspect ratio.", - "16:9 aspect ratio.", - "21:9 aspect ratio.", - "1:8 aspect ratio.", - "8:1 aspect ratio.", - "1:4 aspect ratio.", - "4:1 aspect ratio." - ], - "description": "Optional. The aspect ratio for the image output.", - "type": "string", - "enum": [ - "ASPECT_RATIO_UNSPECIFIED", - "ASPECT_RATIO_ONE_BY_ONE", - "ASPECT_RATIO_TWO_BY_THREE", - "ASPECT_RATIO_THREE_BY_TWO", - "ASPECT_RATIO_THREE_BY_FOUR", - "ASPECT_RATIO_FOUR_BY_THREE", - "ASPECT_RATIO_FOUR_BY_FIVE", - "ASPECT_RATIO_FIVE_BY_FOUR", - "ASPECT_RATIO_NINE_BY_SIXTEEN", - "ASPECT_RATIO_SIXTEEN_BY_NINE", - "ASPECT_RATIO_TWENTY_ONE_BY_NINE", - "ASPECT_RATIO_ONE_BY_EIGHT", - "ASPECT_RATIO_EIGHT_BY_ONE", - "ASPECT_RATIO_ONE_BY_FOUR", - "ASPECT_RATIO_FOUR_BY_ONE" - ] + "type": "object", + "properties": { + "videoDuration": { + "description": "Duration of the video.", + "type": "string", + "format": "google-duration" } } }, - "FileSearchStore": { - "description": "A `FileSearchStore` is a collection of `Document`s.", + "TuningTask": { + "description": "Tuning tasks that create tuned models.", "type": "object", "properties": { - "displayName": { - "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", - "type": "string" - }, - "sizeBytes": { - "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", - "type": "string", - "format": "int64", - "readOnly": true - }, - "activeDocumentsCount": { - "readOnly": true, - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", - "type": "string", - "format": "int64" - }, - "pendingDocumentsCount": { - "readOnly": true, - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", - "type": "string", - "format": "int64" - }, - "name": { + "startTime": { "readOnly": true, - "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", - "type": "string" - }, - "failedDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "description": "Output only. The timestamp when tuning this model started.", "type": "string", - "format": "int64", - "readOnly": true + "format": "google-datetime" }, - "embeddingModel": { - "description": "Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used.", - "type": "string" + "trainingData": { + "description": "Required. Input only. Immutable. The model training data.", + "$ref": "#/components/schemas/Dataset" }, - "createTime": { + "completeTime": { "readOnly": true, - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "description": "Output only. The timestamp when tuning this model completed.", "type": "string", "format": "google-datetime" }, - "updateTime": { - "readOnly": true, - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", - "type": "string", - "format": "google-datetime" - } - } - }, - "MultiSpeakerVoiceConfig": { - "properties": { - "speakerVoiceConfigs": { - "description": "Required. All the enabled speaker voices.", - "type": "array", + "hyperparameters": { + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", + "$ref": "#/components/schemas/Hyperparameters" + }, + "snapshots": { "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" - } + "$ref": "#/components/schemas/TuningSnapshot" + }, + "description": "Output only. Metrics collected during tuning.", + "type": "array", + "readOnly": true } - }, - "description": "The configuration for the multi-speaker setup.", - "type": "object" + } }, - "GoogleAiGenerativelanguageV1betaSegment": { + "GroundingChunkCustomMetadata": { + "description": "User provided metadata about the GroundingFact.", + "type": "object", "properties": { - "startIndex": { - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", - "type": "integer", - "format": "int32" + "key": { + "description": "The key of the metadata.", + "type": "string" }, - "partIndex": { - "description": "The index of a Part object within its parent Content object.", - "type": "integer", - "format": "int32" + "stringValue": { + "description": "Optional. The string value of the metadata.", + "type": "string" }, - "endIndex": { - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", - "type": "integer", - "format": "int32" + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" }, - "text": { - "description": "The text corresponding to the segment from the response.", - "type": "string" + "numericValue": { + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "type": "number", + "format": "float" } - }, - "description": "Segment of the content.", - "type": "object" + } }, - "FunctionResponse": { - "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", + "ModelStatus": { + "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", "type": "object", "properties": { - "response": { - "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model. Multimedia can be included by using a subobject containing a single \"$ref\" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } - }, - "parts": { - "items": { - "$ref": "#/components/schemas/FunctionResponsePart" - }, - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", - "type": "array" - }, - "willContinue": { - "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", - "type": "boolean" + "retirementTime": { + "description": "The time at which the model will be retired.", + "type": "string", + "format": "google-datetime" }, - "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", + "message": { + "description": "A message explaining the model status.", "type": "string" }, - "scheduling": { + "modelStage": { + "enum": [ + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" + ], "x-enum-descriptions": [ - "This value is unused.", - "Only add the result to the conversation context, do not interrupt or trigger generation.", - "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", - "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." + "Unspecified model stage.", + "The underlying model is subject to lots of tunings.", + "Models in this stage are for experimental purposes only.", + "Models in this stage are more mature than experimental models.", + "Models in this stage are considered stable and ready for production use.", + "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", + "Models in this stage are deprecated. These models cannot be used.", + "Models in this stage are retired. These models cannot be used." ], - "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", - "type": "string", - "enum": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" - ] - }, - "id": { - "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", + "enumDeprecated": [ + false, + true, + false, + false, + false, + false, + true, + false + ], + "description": "The stage of the underlying model.", "type": "string" } } }, - "SpeakerVoiceConfig": { + "FunctionResponsePart": { + "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "type": "object", "properties": { - "speaker": { - "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", - "type": "string" - }, - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/FunctionResponseBlob" } - }, - "description": "The configuration for a single speaker in a multi speaker setup.", - "type": "object" + } }, - "FunctionDeclaration": { - "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", + "ComputerUse": { + "description": "Computer Use tool type.", "type": "object", "properties": { - "name": { - "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", - "type": "string" - }, - "parametersJsonSchema": { - "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." - }, - "behavior": { - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", - "type": "string", + "environment": { + "x-enum-descriptions": [ + "Defaults to browser.", + "Operates in a web browser." + ], "enum": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER" ], - "x-enum-descriptions": [ - "This value is unused.", - "If set, the system will wait to receive the function response before continuing the conversation.", - "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." - ] - }, - "response": { - "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", - "$ref": "#/components/schemas/Schema" - }, - "parameters": { - "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", - "$ref": "#/components/schemas/Schema" - }, - "responseJsonSchema": { - "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." - }, - "description": { - "description": "Required. A brief description of the function.", + "description": "Required. The environment being operated.", "type": "string" + }, + "excludedPredefinedFunctions": { + "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", + "type": "array", + "items": { + "type": "string" + } } } }, "CustomMetadata": { + "description": "User provided metadata stored as key-value pairs.", + "type": "object", "properties": { + "key": { + "description": "Required. The key of the metadata to store.", + "type": "string" + }, "stringValue": { "description": "The string value of the metadata to store.", "type": "string" }, - "numericValue": { - "description": "The numeric value of the metadata to store.", - "type": "number", - "format": "float" - }, "stringListValue": { "description": "The StringList value of the metadata to store.", "$ref": "#/components/schemas/StringList" }, - "key": { - "description": "Required. The key of the metadata to store.", - "type": "string" + "numericValue": { + "description": "The numeric value of the metadata to store.", + "type": "number", + "format": "float" } - }, - "description": "User provided metadata stored as key-value pairs.", - "type": "object" + } }, - "ModelStatus": { - "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", + "ResponseFormatConfig": { + "description": "Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality.", "type": "object", "properties": { - "modelStage": { - "description": "The stage of the underlying model.", - "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" - ], - "enumDeprecated": [ - false, - true, - false, - false, - false, - false, - true, - false - ], - "x-enum-descriptions": [ - "Unspecified model stage.", - "The underlying model is subject to lots of tunings.", - "Models in this stage are for experimental purposes only.", - "Models in this stage are more mature than experimental models.", - "Models in this stage are considered stable and ready for production use.", - "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", - "Models in this stage are deprecated. These models cannot be used.", - "Models in this stage are retired. These models cannot be used." - ], - "type": "string" + "audio": { + "description": "Optional. Audio output format configuration.", + "$ref": "#/components/schemas/AudioResponseFormat" }, - "retirementTime": { - "description": "The time at which the model will be retired.", - "type": "string", - "format": "google-datetime" + "image": { + "description": "Optional. Image output format configuration.", + "$ref": "#/components/schemas/ImageResponseFormat" }, - "message": { - "description": "A message explaining the model status.", - "type": "string" + "text": { + "description": "Optional. Text output format configuration.", + "$ref": "#/components/schemas/TextResponseFormat" } } }, - "ToolConfig": { + "PrebuiltVoiceConfig": { + "description": "The configuration for the prebuilt speaker to use.", + "type": "object", "properties": { - "retrievalConfig": { - "description": "Optional. Retrieval config.", - "$ref": "#/components/schemas/RetrievalConfig" - }, - "functionCallingConfig": { - "description": "Optional. Function calling config.", - "$ref": "#/components/schemas/FunctionCallingConfig" - }, - "includeServerSideToolInvocations": { - "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", - "type": "boolean" + "voiceName": { + "description": "The name of the preset voice to use.", + "type": "string" } - }, - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", - "type": "object" + } }, - "GroundingChunk": { + "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "description": "Grounding support.", + "type": "object", "properties": { - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" + "groundingChunkIndices": { + "items": { + "type": "integer", + "format": "int32" + }, + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", + "type": "array" }, - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" + "confidenceScores": { + "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", + "type": "array", + "items": { + "type": "number", + "format": "float" + } }, - "maps": { - "description": "Optional. Grounding chunk from Google Maps.", - "$ref": "#/components/schemas/Maps" + "segment": { + "description": "Segment of the content this support belongs to.", + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" }, - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" + "renderedParts": { + "readOnly": true, + "items": { + "type": "integer", + "format": "int32" + }, + "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", + "type": "array" } - }, - "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", - "type": "object" + } }, - "Permission": { + "FileSearchStore": { + "description": "A `FileSearchStore` is a collection of `Document`s.", + "type": "object", "properties": { - "name": { - "readOnly": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "failedDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "type": "string", + "format": "int64", + "readOnly": true + }, + "embeddingModel": { + "description": "Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used.", "type": "string" }, - "emailAddress": { - "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE.", + "updateTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "type": "string", + "format": "google-datetime", + "readOnly": true + }, + "activeDocumentsCount": { + "readOnly": true, + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", + "type": "string", + "format": "int64" + }, + "displayName": { + "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", "type": "string" }, - "role": { - "description": "Required. The role granted by this permission.", + "pendingDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", "type": "string", - "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" - ], - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Owner can use, update, share and delete the resource.", - "Writer can use, update and share the resource.", - "Reader can use the resource." - ] + "format": "int64", + "readOnly": true }, - "granteeType": { - "description": "Optional. Immutable. The type of the grantee.", + "name": { + "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", "type": "string", - "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" - ], - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Represents a user. When set, you must provide email_address for the user.", - "Represents a group. When set, you must provide email_address for the group.", - "Represents access to everyone. No extra information is required." - ] + "readOnly": true + }, + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", + "type": "string", + "format": "int64", + "readOnly": true + }, + "createTime": { + "readOnly": true, + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "type": "string", + "format": "google-datetime" } - }, - "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", - "type": "object" + } }, - "Operation": { - "description": "This resource represents a long-running operation that is the result of a network API call.", + "CodeExecutionResult": { + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", "type": "object", "properties": { - "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", "type": "string" }, - "response": { - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - }, - "metadata": { - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "outcome": { + "description": "Required. Outcome of the code execution.", + "type": "string", + "enum": [ + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" + ], + "x-enum-descriptions": [ + "Unspecified status. This value should not be used.", + "Code execution completed successfully. `output` contains the stdout, if any.", + "Code execution failed. `output` contains the stderr and stdout, if any.", + "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." + ] }, - "done": { - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", - "type": "boolean" + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "type": "string" + } + } + }, + "GeneratedFile": { + "description": "A file generated on behalf of a user.", + "type": "object", + "properties": { + "mimeType": { + "description": "MIME type of the generatedFile.", + "type": "string" }, "error": { - "description": "The error result of the operation in case of failure or cancellation.", + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", "$ref": "#/components/schemas/Status" + }, + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "type": "string" + }, + "state": { + "description": "Output only. The state of the GeneratedFile.", + "type": "string", + "readOnly": true, + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Being generated.", + "Generated and is ready for download.", + "Failed to generate the GeneratedFile." + ], + "enum": [ + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" + ] } } }, - "FileSearch": { - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", + "TopCandidates": { + "description": "Candidates with top log probabilities at each decoding step.", "type": "object", "properties": { - "fileSearchStoreNames": { - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", + "candidates": { + "description": "Sorted by log probability in descending order.", "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/LogprobsResultCandidate" } + } + } + }, + "GoogleSearch": { + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "type": "object", + "properties": { + "searchTypes": { + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", + "$ref": "#/components/schemas/SearchTypes" }, - "metadataFilter": { - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", - "type": "string" - }, - "topK": { - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "type": "integer", - "format": "int32" + "timeRangeFilter": { + "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", + "$ref": "#/components/schemas/Interval" } } }, - "ListFileSearchStoresResponse": { + "FunctionResponseBlob": { + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "type": "object", "properties": { - "fileSearchStores": { - "description": "The returned rag_stores.", - "type": "array", - "items": { - "$ref": "#/components/schemas/FileSearchStore" - } + "data": { + "description": "Raw bytes for media formats.", + "type": "string", + "format": "byte" }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", "type": "string" } - }, - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", - "type": "object" + } }, - "VoiceConfig": { + "ReviewSnippet": { + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", + "type": "object", "properties": { - "prebuiltVoiceConfig": { - "description": "The configuration for the prebuilt voice to use.", - "$ref": "#/components/schemas/PrebuiltVoiceConfig" + "googleMapsUri": { + "description": "A link that corresponds to the user review on Google Maps.", + "type": "string" + }, + "reviewId": { + "description": "The ID of the review snippet.", + "type": "string" + }, + "title": { + "description": "Title of the review.", + "type": "string" } - }, - "description": "The configuration for the voice to use.", - "type": "object" + } }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "GenerateContentResponse": { + "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", + "type": "object", "properties": { - "groundingChunkIndices": { + "usageMetadata": { + "readOnly": true, + "description": "Output only. Metadata on the generation requests' token usage.", + "$ref": "#/components/schemas/UsageMetadata" + }, + "modelStatus": { + "description": "Output only. The current model status of this model.", + "$ref": "#/components/schemas/ModelStatus", + "readOnly": true + }, + "candidates": { "items": { - "type": "integer", - "format": "int32" + "$ref": "#/components/schemas/Candidate" }, - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", + "description": "Candidate responses from the model.", "type": "array" }, - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" }, - "renderedParts": { + "modelVersion": { "readOnly": true, - "items": { - "type": "integer", - "format": "int32" - }, - "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", - "type": "array" + "description": "Output only. The model version used to generate the response.", + "type": "string" }, - "confidenceScores": { - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", - "type": "array", - "items": { - "type": "number", - "format": "float" - } - } - }, - "description": "Grounding support.", - "type": "object" - }, - "RetrievalMetadata": { - "properties": { - "googleSearchDynamicRetrievalScore": { - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", - "type": "number", - "format": "float" + "responseId": { + "description": "Output only. response_id is used to identify each response.", + "type": "string", + "readOnly": true } - }, - "description": "Metadata related to retrieval in the grounding flow.", - "type": "object" + } }, - "ResponseFormatConfig": { + "EmbedContentConfig": { + "description": "Configurations for the EmbedContent request.", + "type": "object", "properties": { - "audio": { - "description": "Optional. Audio output format configuration.", - "$ref": "#/components/schemas/AudioResponseFormat" + "taskType": { + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ], + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ], + "description": "Optional. The task type of the embedding.", + "type": "string" }, - "text": { - "description": "Optional. Text output format configuration.", - "$ref": "#/components/schemas/TextResponseFormat" + "outputDimensionality": { + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", + "type": "integer", + "format": "int32" }, - "image": { - "description": "Optional. Image output format configuration.", - "$ref": "#/components/schemas/ImageResponseFormat" + "title": { + "description": "Optional. The title for the text.", + "type": "string" + }, + "autoTruncate": { + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", + "type": "boolean" + }, + "documentOcr": { + "description": "Optional. Whether to enable OCR for document content.", + "type": "boolean" + }, + "audioTrackExtraction": { + "description": "Optional. Whether to extract audio from video content.", + "type": "boolean" } - }, - "description": "Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality.", - "type": "object" + } }, - "CodeExecution": { - "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", + "DynamicRetrievalConfig": { + "description": "Describes the options to customize dynamic retrieval.", "type": "object", - "properties": {} + "properties": { + "mode": { + "enum": [ + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" + ], + "x-enum-descriptions": [ + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." + ], + "description": "The mode of the predictor to be used in dynamic retrieval.", + "type": "string" + }, + "dynamicThreshold": { + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", + "type": "number", + "format": "float" + } + } }, - "ReviewSnippet": { - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", + "VideoMetadata": { + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", "type": "object", + "deprecated": true, "properties": { - "googleMapsUri": { - "description": "A link that corresponds to the user review on Google Maps.", - "type": "string" + "startOffset": { + "description": "Optional. The start offset of the video.", + "type": "string", + "format": "google-duration" }, - "title": { - "description": "Title of the review.", - "type": "string" + "endOffset": { + "description": "Optional. The end offset of the video.", + "type": "string", + "format": "google-duration" }, - "reviewId": { - "description": "The ID of the review snippet.", - "type": "string" + "fps": { + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", + "type": "number", + "format": "double" } } }, - "ListOperationsResponse": { - "description": "The response message for Operations.ListOperations.", + "AsyncBatchEmbedContentRequest": { + "description": "Request for an `AsyncBatchEmbedContent` operation.", "type": "object", "properties": { - "nextPageToken": { - "description": "The standard List next-page token.", - "type": "string" - }, - "operations": { - "items": { - "$ref": "#/components/schemas/Operation" - }, - "description": "A list of operations that matches the specified filter in the request.", - "type": "array" - }, - "unreachable": { - "items": { - "type": "string" - }, - "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", - "type": "array" + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/EmbedContentBatch" } } }, - "Content": { + "ToolCall": { + "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", + "type": "object", "properties": { - "role": { - "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "id": { + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", "type": "string" }, - "parts": { - "items": { - "$ref": "#/components/schemas/Part" + "toolType": { + "description": "Required. The type of tool that was called.", + "type": "string", + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ] + }, + "args": { + "additionalProperties": { + "description": "Properties of the object." }, - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", - "type": "array" + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", + "type": "object" } - }, - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", - "type": "object" + } }, - "UrlContextMetadata": { + "ListCachedContentsResponse": { + "description": "Response with CachedContents list.", + "type": "object", "properties": { - "urlMetadata": { + "cachedContents": { "items": { - "$ref": "#/components/schemas/UrlMetadata" + "$ref": "#/components/schemas/CachedContent" }, - "description": "List of url context.", + "description": "List of cached contents.", "type": "array" + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", + "type": "string" } - }, - "description": "Metadata related to url context retrieval tool.", - "type": "object" - }, - "TuningExamples": { - "properties": { - "examples": { - "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", - "type": "array", - "items": { - "$ref": "#/components/schemas/TuningExample" - } - } - }, - "description": "A set of tuning examples. Can be training or validation data.", - "type": "object" + } }, - "FunctionResponsePart": { - "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "Blob": { + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", "type": "object", "properties": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" + "data": { + "description": "Raw bytes for media formats.", + "type": "string", + "format": "byte" + }, + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", + "type": "string" } } }, - "WebSearch": { - "description": "Standard web search for grounding and related configurations.", + "TuningExample": { + "description": "A single example for tuning.", "type": "object", - "properties": {} - }, - "RetrievalConfig": { "properties": { - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" + "textInput": { + "description": "Optional. Text model input.", + "type": "string" }, - "languageCode": { - "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", + "output": { + "description": "Required. The expected model output.", "type": "string" } - }, - "description": "Retrieval config.", - "type": "object" + } }, - "BatchEmbedContentsResponse": { + "Document": { + "description": "A `Document` is a collection of `Chunk`s.", + "type": "object", "properties": { - "usageMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata", - "description": "Output only. The usage metadata for the request." + "displayName": { + "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", + "type": "string" }, - "embeddings": { + "state": { + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", + "All `Chunks` of the `Document` is processed and available for querying.", + "Some `Chunks` of the `Document` failed processing." + ], + "enum": [ + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" + ], "readOnly": true, - "items": { - "$ref": "#/components/schemas/ContentEmbedding" - }, - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", - "type": "array" - } - }, - "description": "The response to a `BatchEmbedContentsRequest`.", - "type": "object" - }, - "Hyperparameters": { - "properties": { - "learningRate": { - "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", - "type": "number", - "format": "float" + "description": "Output only. Current state of the `Document`.", + "type": "string" }, - "epochCount": { - "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used.", - "type": "integer", - "format": "int32" + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the Document.", + "type": "string", + "format": "int64", + "readOnly": true }, - "batchSize": { - "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", - "type": "integer", - "format": "int32" + "updateTime": { + "description": "Output only. The Timestamp of when the `Document` was last updated.", + "type": "string", + "format": "google-datetime", + "readOnly": true }, - "learningRateMultiplier": { - "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.", - "type": "number", - "format": "float" - } - }, - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", - "type": "object" - }, - "GroundingChunkCustomMetadata": { - "properties": { - "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" + "mimeType": { + "description": "Output only. The mime type of the Document.", + "type": "string", + "readOnly": true }, - "key": { - "description": "The key of the metadata.", - "type": "string" + "createTime": { + "readOnly": true, + "description": "Output only. The Timestamp of when the `Document` was created.", + "type": "string", + "format": "google-datetime" }, - "stringValue": { - "description": "Optional. The string value of the metadata.", + "name": { + "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`", "type": "string" }, - "numericValue": { - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", - "type": "number", - "format": "float" - } - }, - "description": "User provided metadata about the GroundingFact.", - "type": "object" - }, - "InlinedEmbedContentResponses": { - "properties": { - "inlinedResponses": { - "readOnly": true, + "customMetadata": { "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" + "$ref": "#/components/schemas/CustomMetadata" }, - "description": "Output only. The responses to the requests in the batch.", + "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", "type": "array" } - }, - "description": "The responses to the requests in the batch.", - "type": "object" + } }, - "GenerationConfig": { + "ThinkingConfig": { + "description": "Config for thinking features.", + "type": "object", "properties": { - "frequencyPenalty": { - "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", - "type": "number", - "format": "float" - }, - "responseModalities": { - "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", - "type": "array", - "items": { - "x-enum-descriptions": [ - "Default value.", - "Indicates the model should return text.", - "Indicates the model should return images.", - "Indicates the model should return audio.", - "Indicates the model should return video." - ], - "type": "string", - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "AUDIO", - "VIDEO" - ] - } - }, - "responseLogprobs": { - "description": "Optional. If true, export the logprobs results in response.", + "includeThoughts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", "type": "boolean" }, - "topK": { - "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "type": "integer", - "format": "int32" + "thinkingLevel": { + "x-enum-descriptions": [ + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." + ], + "enum": [ + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" + ], + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", + "type": "string" }, - "seed": { - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", + "thinkingBudget": { + "description": "The number of thoughts tokens that the model should generate.", "type": "integer", "format": "int32" + } + } + }, + "GroundingChunk": { + "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", + "type": "object", + "properties": { + "maps": { + "description": "Optional. Grounding chunk from Google Maps.", + "$ref": "#/components/schemas/Maps" }, - "candidateCount": { - "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", - "type": "integer", - "format": "int32" + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" }, - "mediaResolution": { + "web": { + "description": "Grounding chunk from the web.", + "$ref": "#/components/schemas/Web" + }, + "image": { + "description": "Optional. Grounding chunk from image search.", + "$ref": "#/components/schemas/Image" + } + } + }, + "SafetyRating": { + "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", + "type": "object", + "properties": { + "category": { + "description": "Required. The category for this rating.", + "type": "string", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ], "x-enum-descriptions": [ - "Media resolution has not been set.", - "Media resolution set to low (64 tokens).", - "Media resolution set to medium (256 tokens).", - "Media resolution set to high (zoomed reframing with 256 tokens)." + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." ], - "description": "Optional. If specified, the media resolution specified will be used.", + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ] + }, + "probability": { + "description": "Required. The probability of harm for this content.", "type": "string", "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" + "HARM_PROBABILITY_UNSPECIFIED", + "NEGLIGIBLE", + "LOW", + "MEDIUM", + "HIGH" + ], + "x-enum-descriptions": [ + "Probability is unspecified.", + "Content has a negligible chance of being unsafe.", + "Content has a low chance of being unsafe.", + "Content has a medium chance of being unsafe.", + "Content has a high chance of being unsafe." ] }, - "presencePenalty": { - "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", - "type": "number", - "format": "float" + "blocked": { + "description": "Was this content blocked because of this rating?", + "type": "boolean" + } + } + }, + "LogprobsResultCandidate": { + "description": "Candidate for the logprobs token and score.", + "type": "object", + "properties": { + "tokenId": { + "description": "The candidate\u2019s token id value.", + "type": "integer", + "format": "int32" }, - "temperature": { - "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", + "logProbability": { + "description": "The candidate's log probability.", "type": "number", "format": "float" }, - "responseMimeType": { - "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types.", + "token": { + "description": "The candidate\u2019s token string value.", "type": "string" + } + } + }, + "Part": { + "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "type": "object", + "properties": { + "thoughtSignature": { + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "type": "string", + "format": "byte" }, - "responseSchema": { - "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", - "$ref": "#/components/schemas/Schema" + "functionResponse": { + "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", + "$ref": "#/components/schemas/FunctionResponse" }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" + "toolResponse": { + "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", + "$ref": "#/components/schemas/ToolResponse" }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" + "executableCode": { + "description": "Code generated by the model that is meant to be executed.", + "$ref": "#/components/schemas/ExecutableCode" }, - "logprobs": { - "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", - "type": "integer", - "format": "int32" + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" }, - "maxOutputTokens": { - "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", - "type": "integer", - "format": "int32" + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" }, - "topP": { - "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "type": "number", - "format": "float" + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" }, - "responseFormat": { - "description": "Optional. Configuration for the response output format. Allows specifying output configuration per modality (text, audio, image) in a flat structure.", - "$ref": "#/components/schemas/ResponseFormatConfig" + "partMetadata": { + "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + }, + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" + }, + "text": { + "description": "Inline text.", + "type": "string" }, - "imageConfig": { - "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", - "$ref": "#/components/schemas/ImageConfig" + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" }, - "thinkingConfig": { - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", - "$ref": "#/components/schemas/ThinkingConfig" + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" }, - "stopSequences": { - "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", - "type": "array", - "items": { - "type": "string" - } + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + "toolCall": { + "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", + "$ref": "#/components/schemas/ToolCall" } - }, - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", - "type": "object" + } }, - "ImageConfig": { + "UploadToFileSearchStoreRequest": { + "description": "Request for `UploadToFileSearchStore`.", + "type": "object", "properties": { - "aspectRatio": { - "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided.", + "customMetadata": { + "description": "Custom metadata to be associated with the data.", + "type": "array", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + } + }, + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", "type": "string" }, - "imageSize": { - "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" + }, + "displayName": { + "description": "Optional. Display name of the created document.", "type": "string" } - }, - "description": "Config for image generation features.", - "type": "object" + } }, - "Status": { - "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", + "AttributionSourceId": { + "description": "Identifier for the source contributing to this attribution.", "type": "object", "properties": { - "code": { - "description": "The status code, which should be an enum value of google.rpc.Code.", - "type": "integer", - "format": "int32" - }, - "details": { - "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - }, - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", - "type": "array" + "groundingPassage": { + "description": "Identifier for an inline passage.", + "$ref": "#/components/schemas/GroundingPassageId" }, - "message": { - "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", - "type": "string" + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" } } }, - "CountTokensResponse": { - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "GoogleMaps": { + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", "type": "object", "properties": { - "cacheTokensDetails": { - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "enableWidget": { + "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", + "type": "boolean" + } + } + }, + "FunctionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "type": "object", + "properties": { + "args": { + "additionalProperties": { + "description": "Properties of the object." }, - "description": "Output only. List of modalities that were processed in the cached content.", - "type": "array" + "description": "Optional. The function parameters and values in JSON object format.", + "type": "object" }, - "totalTokens": { - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", - "type": "integer", - "format": "int32" + "id": { + "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", + "type": "string" }, - "promptTokensDetails": { - "readOnly": true, + "name": { + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", + "type": "string" + } + } + }, + "GroundingChunkStringList": { + "description": "A list of string values.", + "type": "object", + "properties": { + "values": { "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "string" }, - "description": "Output only. List of modalities that were processed in the request input.", + "description": "The string values of the list.", "type": "array" - }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content).", - "type": "integer", - "format": "int32" } } }, - "UsageMetadata": { - "description": "Metadata on the generation request's token usage.", + "UrlMetadata": { + "description": "Context of the a single url retrieval.", "type": "object", "properties": { - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content)", - "type": "integer", - "format": "int32" + "retrievedUrl": { + "description": "Retrieved url by the tool.", + "type": "string" }, - "serviceTier": { - "readOnly": true, - "description": "Output only. Service tier of the request.", + "urlRetrievalStatus": { + "description": "Status of the url retrieval.", + "type": "string", "enum": [ - "unspecified", - "standard", - "flex", - "priority" + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" ], "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ], + "Default value. This value is unused.", + "Url retrieval is successful.", + "Url retrieval is failed due to error.", + "Url retrieval is failed because the content is behind paywall.", + "Url retrieval is failed because the content is unsafe." + ] + } + } + }, + "Empty": { + "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", + "type": "object", + "properties": {} + }, + "ChunkingConfig": { + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", + "type": "object", + "properties": { + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" + } + } + }, + "Model": { + "description": "Information about a Generative Language Model.", + "type": "object", + "properties": { + "thinking": { + "description": "Whether the model supports thinking.", + "type": "boolean" + }, + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", "type": "string" }, - "promptTokenCount": { - "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", - "type": "integer", - "format": "int32" + "supportedGenerationMethods": { + "items": { + "type": "string" + }, + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", + "type": "array" }, - "candidatesTokenCount": { - "description": "Total number of tokens across all the generated response candidates.", - "type": "integer", - "format": "int32" + "topP": { + "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", + "type": "number", + "format": "float" }, - "promptTokensDetails": { - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "name": { + "description": "Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * \"{base_model_id}-{version}\" Examples: * `models/gemini-1.5-flash-001`", + "type": "string" }, - "toolUsePromptTokenCount": { - "readOnly": true, - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "type": "integer", - "format": "int32" + "description": { + "description": "A short description of the model.", + "type": "string" }, - "toolUsePromptTokensDetails": { - "description": "Output only. List of modalities that were processed for tool-use request inputs.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "displayName": { + "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", + "type": "string" }, - "cacheTokensDetails": { - "description": "Output only. List of modalities of the cached content in the request input.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "topK": { + "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", + "type": "integer", + "format": "int32" }, - "thoughtsTokenCount": { - "readOnly": true, - "description": "Output only. Number of tokens of thoughts for thinking models.", + "outputTokenLimit": { + "description": "Maximum number of output tokens available for this model.", "type": "integer", "format": "int32" }, - "totalTokenCount": { - "description": "Total token count for the generation request (prompt + thoughts + response candidates).", + "inputTokenLimit": { + "description": "Maximum number of input tokens allowed for this model.", "type": "integer", "format": "int32" }, - "candidatesTokensDetails": { - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were returned in the response.", - "type": "array" + "temperature": { + "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", + "type": "number", + "format": "float" }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", - "type": "integer", - "format": "int32", - "readOnly": true + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "type": "string" }, - "responseTokensDetails": { - "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "maxTemperature": { + "description": "The maximum temperature this model can use.", + "type": "number", + "format": "float" } } }, - "BatchGenerateContentRequest": { - "description": "Request for a `BatchGenerateContent` operation.", + "Corpus": { + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "type": "object", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/GenerateContentBatch" + "name": { + "readOnly": true, + "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", + "type": "string" + }, + "updateTime": { + "description": "Output only. The Timestamp of when the `Corpus` was last updated.", + "type": "string", + "format": "google-datetime", + "readOnly": true + }, + "displayName": { + "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "type": "string" + }, + "createTime": { + "description": "Output only. The Timestamp of when the `Corpus` was created.", + "type": "string", + "format": "google-datetime", + "readOnly": true } } }, - "InlinedRequest": { - "description": "The request to be processed in the batch.", + "CachedContentUsageMetadata": { + "description": "Metadata on the usage of the cached content.", "type": "object", "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" - }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "totalTokenCount": { + "description": "Total number of tokens that the cached content consumes.", + "type": "integer", + "format": "int32" } } }, - "TopCandidates": { + "InlinedRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "type": "object", "properties": { - "candidates": { + "requests": { + "description": "Required. The requests to be processed in the batch.", + "type": "array", "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - }, - "description": "Sorted by log probability in descending order.", - "type": "array" + "$ref": "#/components/schemas/InlinedRequest" + } } - }, - "description": "Candidates with top log probabilities at each decoding step.", - "type": "object" + } }, - "GenerateContentBatch": { + "ExecutableCode": { + "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", + "type": "object", "properties": { - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" - }, - "displayName": { - "description": "Required. The user-defined name of this batch.", + "id": { + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", "type": "string" }, - "output": { - "readOnly": true, - "$ref": "#/components/schemas/GenerateContentBatchOutput", - "description": "Output only. The output of the batch request." - }, - "batchStats": { - "readOnly": true, - "$ref": "#/components/schemas/BatchStats", - "description": "Output only. Stats about the batch." + "language": { + "description": "Required. Programming language of the `code`.", + "type": "string", + "x-enum-descriptions": [ + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." + ], + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ] }, - "name": { - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "code": { + "description": "Required. The code to be executed.", + "type": "string" + } + } + }, + "File": { + "description": "A file uploaded to the API. Next ID: 15", + "type": "object", + "properties": { + "downloadUri": { + "description": "Output only. The download uri of the `File`.", "type": "string", "readOnly": true }, "createTime": { - "readOnly": true, - "description": "Output only. The time at which the batch was created.", + "description": "Output only. The timestamp of when the `File` was created.", "type": "string", - "format": "google-datetime" + "format": "google-datetime", + "readOnly": true }, - "updateTime": { + "sha256Hash": { "readOnly": true, - "description": "Output only. The time at which the batch was last updated.", + "description": "Output only. SHA-256 hash of the uploaded bytes.", "type": "string", - "format": "google-datetime" + "format": "byte" }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" + "sizeBytes": { + "description": "Output only. Size of the file in bytes.", + "type": "string", + "format": "int64", + "readOnly": true }, "state": { - "description": "Output only. The state of the batch.", + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "File is being processed and cannot be used for inference yet.", + "File is processed and available for inference.", + "File failed processing." + ], "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" ], - "readOnly": true, + "description": "Output only. Processing state of the File.", + "type": "string", + "readOnly": true + }, + "source": { + "description": "Source of the File.", "type": "string", "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." + "Used if source is not specified.", + "Indicates the file is uploaded by the user.", + "Indicates the file is generated by Google.", + "Indicates the file is a registered, i.e. a Google Cloud Storage file." + ], + "enum": [ + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" ] }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "updateTime": { + "description": "Output only. The timestamp of when the `File` was last updated.", "type": "string", - "format": "int64" + "format": "google-datetime", + "readOnly": true }, - "endTime": { - "readOnly": true, - "description": "Output only. The time at which the batch processing completed.", - "type": "string", - "format": "google-datetime" - } - }, - "description": "A resource representing a batch of `GenerateContent` requests.", - "type": "object" - }, - "ListFilesResponse": { - "properties": { - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", - "type": "string" + "videoMetadata": { + "description": "Output only. Metadata for a video.", + "$ref": "#/components/schemas/VideoFileMetadata", + "readOnly": true }, - "files": { - "items": { - "$ref": "#/components/schemas/File" - }, - "description": "The list of `File`s.", - "type": "array" - } - }, - "description": "Response for `ListFiles`.", - "type": "object" - }, - "ModalityTokenCount": { - "properties": { - "modality": { - "x-enum-descriptions": [ - "Unspecified modality.", - "Plain text.", - "Image.", - "Video.", - "Audio.", - "Document, e.g. PDF." - ], - "description": "The modality associated with this token count.", + "uri": { + "description": "Output only. The uri of the `File`.", + "type": "string", + "readOnly": true + }, + "error": { + "description": "Output only. Error status if File processing failed.", + "$ref": "#/components/schemas/Status", + "readOnly": true + }, + "name": { + "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", + "type": "string" + }, + "mimeType": { + "description": "Output only. MIME type of the file.", "type": "string", - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ] + "readOnly": true }, - "tokenCount": { - "description": "Number of tokens.", - "type": "integer", - "format": "int32" - } - }, - "description": "Represents token counting info for a single modality.", - "type": "object" - }, - "Empty": { - "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", - "type": "object", - "properties": {} - }, - "ListModelsResponse": { - "description": "Response from `ListModel` containing a paginated list of Models.", - "type": "object", - "properties": { - "models": { - "description": "The returned Models.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Model" - } + "expirationTime": { + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "type": "string", + "format": "google-datetime", + "readOnly": true }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "displayName": { + "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: \"Welcome Image\"", "type": "string" } } }, - "ImportFileRequest": { + "FileData": { + "description": "URI based data.", + "type": "object", "properties": { - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", "type": "string" }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" - }, - "customMetadata": { - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the file.", - "type": "array" + "fileUri": { + "description": "Required. URI.", + "type": "string" } - }, - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", - "type": "object" + } }, - "LogprobsResult": { - "description": "Logprobs Result", + "GroundingAttribution": { + "description": "Attribution for a source that contributed to an answer.", "type": "object", "properties": { - "chosenCandidates": { - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", - "type": "array", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - } - }, - "logProbabilitySum": { - "description": "Sum of log probabilities for all tokens.", - "type": "number", - "format": "float" + "sourceId": { + "readOnly": true, + "description": "Output only. Identifier for the source contributing to this attribution.", + "$ref": "#/components/schemas/AttributionSourceId" }, - "topCandidates": { - "items": { - "$ref": "#/components/schemas/TopCandidates" - }, - "description": "Length = total number of decoding steps.", - "type": "array" + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" } } }, - "ChunkingConfig": { - "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" - } - }, - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", - "type": "object" - }, - "GroundingMetadata": { + "Candidate": { + "description": "A response candidate generated from the model.", + "type": "object", "properties": { - "groundingSupports": { + "logprobsResult": { + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "$ref": "#/components/schemas/LogprobsResult", + "readOnly": true + }, + "finishMessage": { + "readOnly": true, + "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", + "type": "string" + }, + "safetyRatings": { "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + "$ref": "#/components/schemas/SafetyRating" }, - "description": "List of grounding support.", + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", "type": "array" }, - "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" + "finishReason": { + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", + "type": "string", + "readOnly": true, + "enum": [ + "FINISH_REASON_UNSPECIFIED", + "STOP", + "MAX_TOKENS", + "SAFETY", + "RECITATION", + "LANGUAGE", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "SPII", + "MALFORMED_FUNCTION_CALL", + "IMAGE_SAFETY", + "IMAGE_PROHIBITED_CONTENT", + "IMAGE_OTHER", + "NO_IMAGE", + "IMAGE_RECITATION", + "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", + "MISSING_THOUGHT_SIGNATURE", + "MALFORMED_RESPONSE", + "ESCALATION" + ], + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Natural stop point of the model or provided stop sequence.", + "The maximum number of tokens as specified in the request was reached.", + "The response candidate content was flagged for safety reasons.", + "The response candidate content was flagged for recitation reasons.", + "The response candidate content was flagged for using an unsupported language.", + "Unknown reason.", + "Token generation stopped because the content contains forbidden terms.", + "Token generation stopped for potentially containing prohibited content.", + "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", + "The function call generated by the model is invalid.", + "Token generation stopped because generated images contain safety violations.", + "Image generation stopped because generated images has other prohibited content.", + "Image generation stopped because of other miscellaneous issue.", + "The model was expected to generate an image, but none was generated.", + "Image generation stopped due to recitation.", + "Model generated a tool call but no tools were enabled in the request.", + "Model called too many tools consecutively, thus the system exited execution.", + "Request has at least one thought signature missing.", + "Finished due to malformed response.", + "Request was filtered by an escalation rule." + ] }, - "webSearchQueries": { - "description": "Web search queries for the following-up web search.", + "groundingAttributions": { + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", "type": "array", "items": { - "type": "string" - } - }, - "groundingChunks": { - "items": { - "$ref": "#/components/schemas/GroundingChunk" + "$ref": "#/components/schemas/GroundingAttribution" }, - "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", - "type": "array" + "readOnly": true }, - "googleMapsWidgetContextToken": { - "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", - "type": "string" + "index": { + "description": "Output only. Index of the candidate in the list of response candidates.", + "type": "integer", + "format": "int32", + "readOnly": true }, - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" + "citationMetadata": { + "readOnly": true, + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", + "$ref": "#/components/schemas/CitationMetadata" }, - "imageSearchQueries": { - "items": { - "type": "string" - }, - "description": "Image search queries used for grounding.", - "type": "array" - } - }, - "description": "Metadata returned to client when grounding is enabled.", - "type": "object" - }, - "LatLng": { - "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", - "type": "object", - "properties": { - "latitude": { - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "avgLogprobs": { + "readOnly": true, + "description": "Output only. Average log probability score of the candidate.", "type": "number", "format": "double" }, - "longitude": { - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", - "type": "number", - "format": "double" + "groundingMetadata": { + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "$ref": "#/components/schemas/GroundingMetadata", + "readOnly": true + }, + "urlContextMetadata": { + "description": "Output only. Metadata related to url context retrieval tool.", + "$ref": "#/components/schemas/UrlContextMetadata", + "readOnly": true + }, + "content": { + "readOnly": true, + "description": "Output only. Generated content returned from the model.", + "$ref": "#/components/schemas/Content" + }, + "tokenCount": { + "description": "Output only. Token count for this candidate.", + "type": "integer", + "format": "int32", + "readOnly": true } } }, - "PlaceAnswerSources": { + "InlinedResponses": { + "description": "The responses to the requests in the batch.", + "type": "object", "properties": { - "reviewSnippets": { + "inlinedResponses": { + "readOnly": true, + "description": "Output only. The responses to the requests in the batch.", + "type": "array", "items": { - "$ref": "#/components/schemas/ReviewSnippet" - }, - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", - "type": "array" + "$ref": "#/components/schemas/InlinedResponse" + } } - }, - "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", - "type": "object" + } }, - "BatchStats": { - "description": "Stats about the batch.", + "StreamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses. Next ID: 6", "type": "object", "properties": { - "pendingRequestCount": { - "readOnly": true, - "description": "Output only. The number of requests that are still pending processing.", - "type": "string", - "format": "int64" + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "type": "string" }, - "failedRequestCount": { - "description": "Output only. The number of requests that failed to be processed.", - "type": "string", - "format": "int64", - "readOnly": true + "headers": { + "additionalProperties": { + "type": "string" + }, + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "type": "object" }, - "requestCount": { - "readOnly": true, - "description": "Output only. The number of requests in the batch.", + "timeout": { + "description": "HTTP timeout for regular operations.", "type": "string", - "format": "int64" + "format": "google-duration" }, - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" + }, + "sseReadTimeout": { + "description": "Timeout for SSE read operations.", "type": "string", - "format": "int64", - "readOnly": true + "format": "google-duration" } } }, - "TunedModel": { - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", + "CountTokensResponse": { + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", "type": "object", "properties": { - "readerProjectNumbers": { + "totalTokens": { + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", + "type": "integer", + "format": "int32" + }, + "promptTokensDetails": { + "readOnly": true, "items": { - "type": "string", - "format": "int64" + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "Optional. List of project numbers that have read access to the tuned model.", + "description": "Output only. List of modalities that were processed in the request input.", "type": "array" }, - "topP": { - "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", - "type": "number", - "format": "float" + "cachedContentTokenCount": { + "description": "Number of tokens in the cached part of the prompt (the cached content).", + "type": "integer", + "format": "int32" }, - "state": { - "readOnly": true, - "description": "Output only. The state of the tuned model.", - "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" - ], - "x-enum-descriptions": [ - "The default value. This value is unused.", - "The model is being created.", - "The model is ready to be used.", - "The model failed to be created." - ], + "cacheTokensDetails": { + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the cached content.", + "type": "array", + "readOnly": true + } + } + }, + "RetrievedContext": { + "description": "Chunk from context retrieved by the file search tool.", + "type": "object", + "properties": { + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", "type": "string" }, - "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "title": { + "description": "Optional. Title of the document.", "type": "string" }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" - }, - "temperature": { - "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", - "type": "number", - "format": "float" - }, - "name": { - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", - "type": "string", - "readOnly": true - }, - "createTime": { - "description": "Output only. The timestamp when this model was created.", - "type": "string", - "format": "google-datetime", - "readOnly": true - }, - "updateTime": { - "description": "Output only. The timestamp when this model was updated.", - "type": "string", - "format": "google-datetime", - "readOnly": true + "fileSearchStore": { + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", + "type": "string" }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" + "customMetadata": { + "description": "Optional. User-provided metadata about the retrieved context.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + } }, - "displayName": { - "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", + "text": { + "description": "Optional. Text of the chunk.", "type": "string" }, - "topK": { - "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", + "pageNumber": { + "description": "Optional. Page number of the retrieved context, if applicable.", "type": "integer", "format": "int32" }, - "description": { - "description": "Optional. A short description of this model.", + "mediaId": { + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", "type": "string" } } }, - "ListPermissionsResponse": { - "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "ListGeneratedFilesResponse": { + "description": "Response for `ListGeneratedFiles`.", "type": "object", "properties": { - "permissions": { - "description": "Returned permissions.", - "type": "array", + "generatedFiles": { "items": { - "$ref": "#/components/schemas/Permission" - } + "$ref": "#/components/schemas/GeneratedFile" + }, + "description": "The list of `GeneratedFile`s.", + "type": "array" }, "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", "type": "string" } } }, - "Blob": { - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", + "SearchTypes": { + "description": "Different types of search that can be enabled on the GoogleSearch tool.", "type": "object", "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", - "type": "string" + "imageSearch": { + "description": "Optional. Enables image search. Image bytes are returned.", + "$ref": "#/components/schemas/ImageSearch" }, - "data": { - "description": "Raw bytes for media formats.", - "type": "string", - "format": "byte" + "webSearch": { + "description": "Optional. Enables web search. Only text results are returned.", + "$ref": "#/components/schemas/WebSearch" } } }, - "SearchTypes": { + "PlaceAnswerSources": { + "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", + "type": "object", "properties": { - "webSearch": { - "description": "Optional. Enables web search. Only text results are returned.", - "$ref": "#/components/schemas/WebSearch" - }, - "imageSearch": { - "description": "Optional. Enables image search. Image bytes are returned.", - "$ref": "#/components/schemas/ImageSearch" + "reviewSnippets": { + "items": { + "$ref": "#/components/schemas/ReviewSnippet" + }, + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "type": "array" } - }, - "description": "Different types of search that can be enabled on the GoogleSearch tool.", - "type": "object" + } }, - "StreamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "EmbedContentBatchStats": { + "description": "Stats about the batch.", "type": "object", "properties": { - "url": { - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", - "type": "string" - }, - "sseReadTimeout": { - "description": "Timeout for SSE read operations.", + "pendingRequestCount": { + "readOnly": true, + "description": "Output only. The number of requests that are still pending processing.", "type": "string", - "format": "google-duration" + "format": "int64" }, - "timeout": { - "description": "HTTP timeout for regular operations.", + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", "type": "string", - "format": "google-duration" + "format": "int64", + "readOnly": true }, - "headers": { - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "type": "object", - "additionalProperties": { - "type": "string" - } + "requestCount": { + "readOnly": true, + "description": "Output only. The number of requests in the batch.", + "type": "string", + "format": "int64" }, - "terminateOnClose": { - "description": "Whether to close the client session when the transport closes.", - "type": "boolean" + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", + "type": "string", + "format": "int64", + "readOnly": true } } }