From 1dcb2b86bb7f6c127555762c13781961eeba6fb9 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 26 Jun 2026 16:59:28 +0000 Subject: [PATCH] feat: Updated OpenAPI spec --- ...Client.BatchesUpdateEmbedContentBatch.g.cs | 36 +- ...ent.BatchesUpdateGenerateContentBatch.g.cs | 28 +- ...ini.GeminiClient.CachedContentsCreate.g.cs | 46 +- ...mini.GeminiClient.CachedContentsPatch.g.cs | 46 +- ...GeminiClient.CorporaPermissionsCreate.g.cs | 10 +- ....GeminiClient.CorporaPermissionsPatch.g.cs | 10 +- ...i.GeminiClient.DynamicGenerateContent.g.cs | 54 +- ...niClient.DynamicStreamGenerateContent.g.cs | 54 +- ....DynamicStreamGenerateContentAsStream.g.cs | 54 +- ...niClient.MediaUploadToFileSearchStore.g.cs | 10 +- ...emini.GeminiClient.ModelsEmbedContent.g.cs | 16 +- ...ni.GeminiClient.ModelsGenerateContent.g.cs | 54 +- ...iniClient.ModelsStreamGenerateContent.g.cs | 54 +- ...t.ModelsStreamGenerateContentAsStream.g.cs | 54 +- ...Gemini.GeminiClient.TunedModelsCreate.g.cs | 34 +- ...miniClient.TunedModelsGenerateContent.g.cs | 54 +- ....Gemini.GeminiClient.TunedModelsPatch.g.cs | 34 +- ...niClient.TunedModelsPermissionsCreate.g.cs | 10 +- ...iniClient.TunedModelsPermissionsPatch.g.cs | 10 +- ...ient.TunedModelsStreamGenerateContent.g.cs | 54 +- ...edModelsStreamGenerateContentAsStream.g.cs | 54 +- ...Client.BatchesUpdateEmbedContentBatch.g.cs | 28 +- ...ent.BatchesUpdateGenerateContentBatch.g.cs | 22 +- ...ni.IGeminiClient.CachedContentsCreate.g.cs | 36 +- ...ini.IGeminiClient.CachedContentsPatch.g.cs | 36 +- ...GeminiClient.CorporaPermissionsCreate.g.cs | 8 +- ...IGeminiClient.CorporaPermissionsPatch.g.cs | 8 +- ....IGeminiClient.DynamicGenerateContent.g.cs | 42 +- ...niClient.DynamicStreamGenerateContent.g.cs | 42 +- ....DynamicStreamGenerateContentAsStream.g.cs | 42 +- ...niClient.MediaUploadToFileSearchStore.g.cs | 8 +- ...mini.IGeminiClient.ModelsEmbedContent.g.cs | 12 +- ...i.IGeminiClient.ModelsGenerateContent.g.cs | 42 +- ...iniClient.ModelsStreamGenerateContent.g.cs | 42 +- ...t.ModelsStreamGenerateContentAsStream.g.cs | 42 +- ...emini.IGeminiClient.TunedModelsCreate.g.cs | 26 +- ...miniClient.TunedModelsGenerateContent.g.cs | 42 +- ...Gemini.IGeminiClient.TunedModelsPatch.g.cs | 26 +- ...niClient.TunedModelsPermissionsCreate.g.cs | 8 +- ...iniClient.TunedModelsPermissionsPatch.g.cs | 8 +- ...ient.TunedModelsStreamGenerateContent.g.cs | 42 +- ...edModelsStreamGenerateContentAsStream.g.cs | 42 +- .../Google.Gemini.JsonSerializerContext.g.cs | 678 +- ...gle.Gemini.JsonSerializerContextTypes.g.cs | 586 +- ...gle.Gemini.Models.AttributionSourceId.g.cs | 24 +- ...gle.Gemini.Models.AudioResponseFormat.g.cs | 24 +- ...ini.Models.BatchEmbedContentsResponse.g.cs | 24 +- .../Google.Gemini.Models.BatchStats.g.cs | 40 +- .../Google.Gemini.Models.CachedContent.g.cs | 140 +- .../Google.Gemini.Models.Candidate.g.cs | 124 +- .../Google.Gemini.Models.CitationSource.g.cs | 28 +- ...gle.Gemini.Models.CodeExecutionResult.g.cs | 22 +- .../Google.Gemini.Models.ComputerUse.g.cs | 30 +- .../Google.Gemini.Models.Content.g.cs | 24 +- ...Google.Gemini.Models.ContentEmbedding.g.cs | 24 +- ...gle.Gemini.Models.CountTokensResponse.g.cs | 28 +- ...ini.Models.CustomLongRunningOperation.g.cs | 28 +- .../Google.Gemini.Models.Document.g.cs | 92 +- ...oogle.Gemini.Models.EmbedContentBatch.g.cs | 136 +- ....Gemini.Models.EmbedContentBatchStats.g.cs | 26 +- ...ogle.Gemini.Models.EmbedContentConfig.g.cs | 50 +- ...gle.Gemini.Models.EmbedContentRequest.g.cs | 56 +- .../Google.Gemini.Models.ExecutableCode.g.cs | 22 +- .../Generated/Google.Gemini.Models.File.g.cs | 166 +- .../Google.Gemini.Models.FileData.g.cs | 24 +- .../Google.Gemini.Models.FileSearch.g.cs | 24 +- .../Google.Gemini.Models.FileSearchStore.g.cs | 84 +- .../Google.Gemini.Models.FunctionCall.g.cs | 24 +- ...e.Gemini.Models.FunctionCallingConfig.g.cs | 24 +- ...gle.Gemini.Models.FunctionDeclaration.g.cs | 78 +- ...Google.Gemini.Models.FunctionResponse.g.cs | 62 +- ...le.Gemini.Models.GenerateContentBatch.g.cs | 112 +- ....Gemini.Models.GenerateContentRequest.g.cs | 110 +- ...Gemini.Models.GenerateContentResponse.g.cs | 74 +- .../Google.Gemini.Models.GeneratedFile.g.cs | 24 +- ...Google.Gemini.Models.GenerationConfig.g.cs | 274 +- ...erativelanguageV1betaGroundingSupport.g.cs | 42 +- ...ogleAiGenerativelanguageV1betaSegment.g.cs | 46 +- .../Google.Gemini.Models.GroundingChunk.g.cs | 38 +- ...oogle.Gemini.Models.GroundingMetadata.g.cs | 78 +- .../Google.Gemini.Models.Hyperparameters.g.cs | 50 +- .../Generated/Google.Gemini.Models.Image.g.cs | 22 +- .../Google.Gemini.Models.ImageConfig.g.cs | 24 +- ...gle.Gemini.Models.ImageResponseFormat.g.cs | 42 +- ...ini.Models.InlinedEmbedContentRequest.g.cs | 24 +- .../Google.Gemini.Models.InputConfig.g.cs | 24 +- .../Google.Gemini.Models.Interval.g.cs | 24 +- ...ini.Models.ListCachedContentsResponse.g.cs | 24 +- ...gle.Gemini.Models.ListCorporaResponse.g.cs | 24 +- ...oogle.Gemini.Models.ListFilesResponse.g.cs | 24 +- ...ogle.Gemini.Models.ListModelsResponse.g.cs | 24 +- ....Gemini.Models.ListOperationsResponse.g.cs | 22 +- .../Google.Gemini.Models.LogprobsResult.g.cs | 24 +- ...Gemini.Models.LogprobsResultCandidate.g.cs | 24 +- .../Generated/Google.Gemini.Models.Maps.g.cs | 50 +- ...ogle.Gemini.Models.ModalityTokenCount.g.cs | 24 +- .../Generated/Google.Gemini.Models.Model.g.cs | 132 +- .../Google.Gemini.Models.ModelStatus.g.cs | 24 +- .../Google.Gemini.Models.Operation.g.cs | 28 +- .../Generated/Google.Gemini.Models.Part.g.cs | 130 +- .../Google.Gemini.Models.Permission.g.cs | 50 +- .../Google.Gemini.Models.PromptFeedback.g.cs | 24 +- .../Google.Gemini.Models.RetrievalConfig.g.cs | 24 +- ...Google.Gemini.Models.RetrievedContext.g.cs | 86 +- .../Google.Gemini.Models.SafetyRating.g.cs | 26 +- .../Google.Gemini.Models.Schema.g.cs | 246 +- .../Google.Gemini.Models.SearchTypes.g.cs | 24 +- ....Gemini.Models.SemanticRetrieverChunk.g.cs | 26 +- .../Google.Gemini.Models.SpeechConfig.g.cs | 22 +- ...Gemini.Models.StreamableHttpTransport.g.cs | 22 +- .../Google.Gemini.Models.ThinkingConfig.g.cs | 22 +- .../Generated/Google.Gemini.Models.Tool.g.cs | 90 +- .../Google.Gemini.Models.ToolCall.g.cs | 24 +- .../Google.Gemini.Models.ToolConfig.g.cs | 24 +- ...oogle.Gemini.Models.TranslationConfig.g.cs | 24 +- .../Google.Gemini.Models.TunedModel.g.cs | 148 +- ...Google.Gemini.Models.TunedModelSource.g.cs | 24 +- .../Google.Gemini.Models.TuningSnapshot.g.cs | 24 +- .../Google.Gemini.Models.TuningTask.g.cs | 58 +- ...Models.UploadToFileSearchStoreRequest.g.cs | 24 +- .../Google.Gemini.Models.UsageMetadata.g.cs | 132 +- .../Google.Gemini.Models.VideoMetadata.g.cs | 26 +- ...Google.Gemini.Models.WhiteSpaceConfig.g.cs | 24 +- src/libs/Google.Gemini/openapi.json | 8588 ++++++++--------- 124 files changed, 7708 insertions(+), 7708 deletions(-) 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 801df1e2..1c6eeffa 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 @@ -448,8 +448,14 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// /// - /// - /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Configures the input to the batch request. @@ -457,14 +463,8 @@ 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. - /// - /// - /// Stats about the batch. + /// + /// Required. The user-defined name of this batch. /// /// 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 ProcessBatchesUpdateEmbedContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - string? displayName = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, - string? priority = default, - string? model = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + string? model = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + string? priority = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { - DisplayName = displayName, - InputConfig = inputConfig, - Priority = priority, - Model = model, Output = output, BatchStats = batchStats, + Model = model, + InputConfig = inputConfig, + Priority = priority, + DisplayName = displayName, }; 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 1ef74b37..55b228bf 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 @@ -448,20 +448,20 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// + /// + /// Stats about the batch. + /// /// /// Required. The user-defined name of this batch. /// - /// - /// Configures the input to the batch request. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// - /// - /// Stats about the batch. + /// + /// Configures the input to the batch request. /// /// /// 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. @@ -472,22 +472,22 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? displayName = default, - global::Google.Gemini.InputConfig? inputConfig = default, - string? model = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.BatchStats? batchStats = default, + string? displayName = default, + string? model = default, + global::Google.Gemini.InputConfig? inputConfig = default, string? priority = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { - DisplayName = displayName, - InputConfig = inputConfig, - Model = model, Output = output, BatchStats = batchStats, + DisplayName = displayName, + Model = model, + InputConfig = inputConfig, Priority = priority, }; 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 66b97e7c..61a3de4a 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 @@ -425,60 +425,60 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Creates CachedContent resource. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// + /// 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 /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// /// Optional. Input only. Immutable. The content to cache. /// /// /// 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. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Metadata on the usage of the cached content. /// - /// - /// 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. - /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the 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 CachedContentsCreateAsync( - string? displayName = default, + string? expireTime = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? ttl = default, global::System.Collections.Generic.IList? contents = default, string? model = default, - string? expireTime = default, + string? displayName = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - global::Google.Gemini.Content? systemInstruction = default, - string? ttl = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - DisplayName = displayName, + ExpireTime = expireTime, + SystemInstruction = systemInstruction, Tools = tools, + ToolConfig = toolConfig, + Ttl = ttl, Contents = contents, Model = model, - ExpireTime = expireTime, + DisplayName = displayName, UsageMetadata = usageMetadata, - SystemInstruction = systemInstruction, - Ttl = ttl, - ToolConfig = toolConfig, }; 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 ab258f11..ebf5ef75 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 @@ -448,62 +448,62 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// + /// 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 /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// /// Optional. Input only. Immutable. The content to cache. /// /// /// 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. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Metadata on the usage of the cached content. /// - /// - /// 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. - /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the 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 CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - string? displayName = default, + string? expireTime = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? ttl = default, global::System.Collections.Generic.IList? contents = default, string? model = default, - string? expireTime = default, + string? displayName = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - global::Google.Gemini.Content? systemInstruction = default, - string? ttl = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - DisplayName = displayName, + ExpireTime = expireTime, + SystemInstruction = systemInstruction, Tools = tools, + ToolConfig = toolConfig, + Ttl = ttl, Contents = contents, Model = model, - ExpireTime = expireTime, + DisplayName = displayName, UsageMetadata = usageMetadata, - SystemInstruction = systemInstruction, - Ttl = ttl, - ToolConfig = toolConfig, }; 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 6961b234..0167d56a 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. + /// /// /// 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, - 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, - 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 a64bbbc9..5b7d23da 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 @@ -458,15 +458,15 @@ 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. + /// /// /// 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, - 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, - 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 9d1ebbcd..7b04c5cf 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 @@ -435,66 +435,66 @@ 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. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// 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 DynamicGenerateContentAsync( string dynamicId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ToolConfig = toolConfig, - Store = store, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - CachedContent = cachedContent, Contents = contents, GenerationConfig = generationConfig, + Store = store, + SafetySettings = safetySettings, + ServiceTier = serviceTier, + SystemInstruction = systemInstruction, Tools = tools, + ToolConfig = toolConfig, + CachedContent = cachedContent, }; return await DynamicGenerateContentAsync( 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 437771e2..892e92d6 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 @@ -435,66 +435,66 @@ 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`. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// 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 DynamicStreamGenerateContentAsync( string dynamicId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ToolConfig = toolConfig, - Store = store, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - CachedContent = cachedContent, Contents = contents, GenerationConfig = generationConfig, + Store = store, + SafetySettings = safetySettings, + ServiceTier = serviceTier, + SystemInstruction = systemInstruction, Tools = tools, + ToolConfig = toolConfig, + CachedContent = cachedContent, }; return await DynamicStreamGenerateContentAsync( 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 8e20b232..0c69c1e0 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 @@ -376,66 +376,66 @@ 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`. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = 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 { - ToolConfig = toolConfig, - Store = store, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - CachedContent = cachedContent, Contents = contents, GenerationConfig = generationConfig, + Store = store, + SafetySettings = safetySettings, + ServiceTier = serviceTier, + SystemInstruction = systemInstruction, Tools = tools, + ToolConfig = toolConfig, + CachedContent = cachedContent, }; var __enumerable = DynamicStreamGenerateContentAsStreamAsync( 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 8e9a8f42..dbe30ef1 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 @@ -438,33 +438,33 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// /// Optional. Display name of the created document. /// + /// + /// Custom metadata to be associated with the data. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// - /// - /// Custom metadata to be associated with the data. - /// /// 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::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? mimeType = default, - global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.UploadToFileSearchStoreRequest { DisplayName = displayName, + CustomMetadata = customMetadata, ChunkingConfig = chunkingConfig, MimeType = mimeType, - CustomMetadata = customMetadata, }; return await MediaUploadToFileSearchStoreAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs index 160bbf91..c4e0cb91 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs @@ -437,31 +437,31 @@ partial void ProcessModelsEmbedContentResponseContent( /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// - /// - /// Configurations for the EmbedContent request. + /// + /// 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}` /// /// /// 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. /// - /// - /// 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}` + /// + /// Configurations for the EmbedContent 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 ModelsEmbedContentAsync( string modelsId, - global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, - global::Google.Gemini.Content? content = default, string? model = default, + global::Google.Gemini.Content? content = default, + global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentRequest { - EmbedContentConfig = embedContentConfig, - Content = content, Model = model, + Content = content, + EmbedContentConfig = embedContentConfig, }; return await ModelsEmbedContentAsync( 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 34a2c9f5..ed68391d 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 @@ -435,66 +435,66 @@ 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. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// 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 ModelsGenerateContentAsync( string modelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ToolConfig = toolConfig, - Store = store, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - CachedContent = cachedContent, Contents = contents, GenerationConfig = generationConfig, + Store = store, + SafetySettings = safetySettings, + ServiceTier = serviceTier, + SystemInstruction = systemInstruction, Tools = tools, + ToolConfig = toolConfig, + CachedContent = cachedContent, }; return await ModelsGenerateContentAsync( 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 9d834792..e50b3c2c 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 @@ -435,66 +435,66 @@ 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`. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// 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 ModelsStreamGenerateContentAsync( string modelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ToolConfig = toolConfig, - Store = store, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - CachedContent = cachedContent, Contents = contents, GenerationConfig = generationConfig, + Store = store, + SafetySettings = safetySettings, + ServiceTier = serviceTier, + SystemInstruction = systemInstruction, Tools = tools, + ToolConfig = toolConfig, + CachedContent = cachedContent, }; return await ModelsStreamGenerateContentAsync( 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 a2359adb..fa28bf5c 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 @@ -376,66 +376,66 @@ 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`. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = 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 { - ToolConfig = toolConfig, - Store = store, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - CachedContent = cachedContent, Contents = contents, GenerationConfig = generationConfig, + Store = store, + SafetySettings = safetySettings, + ServiceTier = serviceTier, + SystemInstruction = systemInstruction, Tools = tools, + ToolConfig = toolConfig, + CachedContent = cachedContent, }; var __enumerable = ModelsStreamGenerateContentAsStreamAsync( 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 839b04fa..82f593c9 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 @@ -438,14 +438,17 @@ 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 /// /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Tuning tasks that create tuned models. + /// + /// 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. A short description of this model. + /// + /// 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. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` @@ -453,8 +456,8 @@ partial void ProcessTunedModelsCreateResponseContent( /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// 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. A short description of this model. /// /// /// 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. @@ -462,37 +465,34 @@ partial void ProcessTunedModelsCreateResponseContent( /// /// 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. - /// /// 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, global::Google.Gemini.TuningTask? tuningTask = default, - string? description = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + float? topP = default, + float? temperature = default, string? baseModel = default, string? displayName = default, - float? temperature = default, + string? description = default, int? topK = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - float? topP = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - ReaderProjectNumbers = readerProjectNumbers, TuningTask = tuningTask, - Description = description, + ReaderProjectNumbers = readerProjectNumbers, + TopP = topP, + Temperature = temperature, BaseModel = baseModel, DisplayName = displayName, - Temperature = temperature, + Description = description, TopK = topK, TunedModelSource = tunedModelSource, - TopP = topP, }; 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 eaaae50e..c26179f6 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 @@ -435,66 +435,66 @@ 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. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// 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 TunedModelsGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ToolConfig = toolConfig, - Store = store, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - CachedContent = cachedContent, Contents = contents, GenerationConfig = generationConfig, + Store = store, + SafetySettings = safetySettings, + ServiceTier = serviceTier, + SystemInstruction = systemInstruction, Tools = tools, + ToolConfig = toolConfig, + CachedContent = cachedContent, }; return await TunedModelsGenerateContentAsync( 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 d802f356..c3772d38 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 @@ -448,14 +448,17 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Tuning tasks that create tuned models. + /// + /// 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. A short description of this model. + /// + /// 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. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` @@ -463,8 +466,8 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// 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. A short description of this model. /// /// /// 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. @@ -472,38 +475,35 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// 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. - /// /// 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, global::Google.Gemini.TuningTask? tuningTask = default, - string? description = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + float? topP = default, + float? temperature = default, string? baseModel = default, string? displayName = default, - float? temperature = default, + string? description = default, int? topK = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - float? topP = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - ReaderProjectNumbers = readerProjectNumbers, TuningTask = tuningTask, - Description = description, + ReaderProjectNumbers = readerProjectNumbers, + TopP = topP, + Temperature = temperature, BaseModel = baseModel, DisplayName = displayName, - Temperature = temperature, + Description = description, TopK = topK, TunedModelSource = tunedModelSource, - TopP = topP, }; 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 2f74e3cc..58eaf040 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. + /// /// /// 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, - 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, - 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 d4207544..36931011 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 @@ -458,15 +458,15 @@ 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. + /// /// /// 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, - 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, - 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 8360580b..ec42d88b 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 @@ -435,66 +435,66 @@ 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`. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// 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 TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ToolConfig = toolConfig, - Store = store, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - CachedContent = cachedContent, Contents = contents, GenerationConfig = generationConfig, + Store = store, + SafetySettings = safetySettings, + ServiceTier = serviceTier, + SystemInstruction = systemInstruction, Tools = tools, + ToolConfig = toolConfig, + CachedContent = cachedContent, }; return await TunedModelsStreamGenerateContentAsync( 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 3192e7c3..b667ec02 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 @@ -376,66 +376,66 @@ 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`. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = 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 { - ToolConfig = toolConfig, - Store = store, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - CachedContent = cachedContent, Contents = contents, GenerationConfig = generationConfig, + Store = store, + SafetySettings = safetySettings, + ServiceTier = serviceTier, + SystemInstruction = systemInstruction, Tools = tools, + ToolConfig = toolConfig, + CachedContent = cachedContent, }; var __enumerable = TunedModelsStreamGenerateContentAsStreamAsync( 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 ce6a96fa..76bac129 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 @@ -41,8 +41,14 @@ public partial interface IGeminiClient /// /// /// - /// - /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Configures the input to the batch request. @@ -50,14 +56,8 @@ 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. - /// - /// - /// Stats about the batch. + /// + /// Required. The user-defined name of this batch. /// /// 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 BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - string? displayName = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, - string? priority = default, - string? model = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + string? model = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + string? priority = 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.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index e411a741..7bd69519 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 @@ -41,20 +41,20 @@ public partial interface IGeminiClient /// /// /// + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// + /// + /// Stats about the batch. + /// /// /// Required. The user-defined name of this batch. /// - /// - /// Configures the input to the batch request. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// - /// - /// Stats about the batch. + /// + /// Configures the input to the batch request. /// /// /// 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. @@ -65,11 +65,11 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? displayName = default, - global::Google.Gemini.InputConfig? inputConfig = default, - string? model = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.BatchStats? batchStats = default, + string? displayName = default, + string? model = default, + global::Google.Gemini.InputConfig? inputConfig = default, string? priority = 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 58ea572d..1a411858 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 @@ -31,46 +31,46 @@ public partial interface IGeminiClient /// /// Creates CachedContent resource. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// + /// 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 /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// /// Optional. Input only. Immutable. The content to cache. /// /// /// 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. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Metadata on the usage of the cached content. /// - /// - /// 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. - /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the 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 CachedContentsCreateAsync( - string? displayName = default, + string? expireTime = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? ttl = default, global::System.Collections.Generic.IList? contents = default, string? model = default, - string? expireTime = default, + string? displayName = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - global::Google.Gemini.Content? systemInstruction = default, - string? ttl = default, - global::Google.Gemini.ToolConfig? toolConfig = 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 5d45d359..de6bc0ec 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 @@ -41,48 +41,48 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// + /// 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 /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// /// Optional. Input only. Immutable. The content to cache. /// /// /// 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. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Metadata on the usage of the cached content. /// - /// - /// 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. - /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the 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 CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - string? displayName = default, + string? expireTime = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? ttl = default, global::System.Collections.Generic.IList? contents = default, string? model = default, - string? expireTime = default, + string? displayName = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - global::Google.Gemini.Content? systemInstruction = default, - string? ttl = default, - global::Google.Gemini.ToolConfig? toolConfig = 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 d00a997c..6862024b 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. + /// /// /// 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, - 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 61d0e8e4..23ae22ac 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 @@ -46,15 +46,15 @@ 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. + /// /// /// 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, - 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 8643f721..d411315e 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 @@ -36,51 +36,51 @@ 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. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// 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 DynamicGenerateContentAsync( string dynamicId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = 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 e723b0d5..3b0b9024 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 @@ -36,51 +36,51 @@ 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`. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// 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 DynamicStreamGenerateContentAsync( string dynamicId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = 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 366ebff4..995cc3ec 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 @@ -22,51 +22,51 @@ 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`. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = 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 7596bac4..490b5361 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 @@ -39,24 +39,24 @@ public partial interface IGeminiClient /// /// Optional. Display name of the created document. /// + /// + /// Custom metadata to be associated with the data. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// - /// - /// Custom metadata to be associated with the data. - /// /// 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::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? mimeType = default, - global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs index 4b94ecba..2f5b194e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs @@ -38,23 +38,23 @@ public partial interface IGeminiClient /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// - /// - /// Configurations for the EmbedContent request. + /// + /// 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}` /// /// /// 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. /// - /// - /// 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}` + /// + /// Configurations for the EmbedContent 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 ModelsEmbedContentAsync( string modelsId, - global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, - global::Google.Gemini.Content? content = default, string? model = default, + global::Google.Gemini.Content? content = default, + global::Google.Gemini.EmbedContentConfig? embedContentConfig = 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 981d48e7..03ad5955 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 @@ -36,51 +36,51 @@ 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. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// 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 ModelsGenerateContentAsync( string modelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = 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 55f1361c..fd2b92c2 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 @@ -36,51 +36,51 @@ 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`. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// 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 ModelsStreamGenerateContentAsync( string modelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = 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 faa21df9..26704fdb 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 @@ -22,51 +22,51 @@ 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`. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = 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 8c4c6456..4dba7ed5 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 @@ -36,14 +36,17 @@ 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 /// /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Tuning tasks that create tuned models. + /// + /// 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. A short description of this model. + /// + /// 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. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` @@ -51,8 +54,8 @@ public partial interface IGeminiClient /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// 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. A short description of this model. /// /// /// 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. @@ -60,23 +63,20 @@ public partial interface IGeminiClient /// /// 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. - /// /// 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, global::Google.Gemini.TuningTask? tuningTask = default, - string? description = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + float? topP = default, + float? temperature = default, string? baseModel = default, string? displayName = default, - float? temperature = default, + string? description = default, int? topK = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - float? topP = 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 0b90c9c0..cf87641f 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 @@ -36,51 +36,51 @@ 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. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// 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 TunedModelsGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = 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 94026a29..c02d7057 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 @@ -41,14 +41,17 @@ public partial interface IGeminiClient /// /// /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Tuning tasks that create tuned models. + /// + /// 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. A short description of this model. + /// + /// 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. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` @@ -56,8 +59,8 @@ public partial interface IGeminiClient /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// 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. A short description of this model. /// /// /// 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. @@ -65,24 +68,21 @@ public partial interface IGeminiClient /// /// 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. - /// /// 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, global::Google.Gemini.TuningTask? tuningTask = default, - string? description = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + float? topP = default, + float? temperature = default, string? baseModel = default, string? displayName = default, - float? temperature = default, + string? description = default, int? topK = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - float? topP = 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 201791e7..2eced6f5 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. + /// /// /// 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, - 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 e32f3684..b9a1f31c 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 @@ -46,15 +46,15 @@ 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. + /// /// /// 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, - 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 5708a183..68a4204e 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 @@ -36,51 +36,51 @@ 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`. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// 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 TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = 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 0db80cd6..ac50d29a 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 @@ -22,51 +22,51 @@ 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`. /// /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - string? cachedContent = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = 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 a7b0bb7c..7714fd8d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,89 +13,97 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryNullableJsonConverter), - 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.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), @@ -109,381 +117,373 @@ namespace Google.Gemini typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), 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.GenerationConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigMediaResolution), TypeInfoPropertyName = "GenerationConfigMediaResolution2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigResponseModalitie), TypeInfoPropertyName = "GenerationConfigResponseModalitie2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TranslationConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Tool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecution))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleMaps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContext))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearchRetrieval))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.McpServer))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclaration))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PrebuiltVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ResponseFormatConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContentUsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequestTaskType), TypeInfoPropertyName = "EmbedContentRequestTaskType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFilesResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] - [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.CustomMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ChunkingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbeddingUsageMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCount))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadata))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadataServiceTier), TypeInfoPropertyName = "UsageMetadataServiceTier2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StreamableHttpTransport))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFileSearchStoresResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearchStore))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequests))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(double))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SchemaType), TypeInfoPropertyName = "SchemaType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingCategory), TypeInfoPropertyName = "SafetyRatingCategory2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AttributionSourceId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingPassageId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequestTaskType), TypeInfoPropertyName = "EmbedContentRequestTaskType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListOperationsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Operation))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ContentEmbedding))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AsyncBatchEmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormat))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormatImageSize), TypeInfoPropertyName = "ImageResponseFormatImageSize2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormatAspectRatio), TypeInfoPropertyName = "ImageResponseFormatAspectRatio2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormatMimeType), TypeInfoPropertyName = "ImageResponseFormatMimeType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormatDelivery), TypeInfoPropertyName = "ImageResponseFormatDelivery2")] + 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedback))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedbackBlockReason), TypeInfoPropertyName = "PromptFeedbackBlockReason2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFileState), TypeInfoPropertyName = "GeneratedFileState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearchStore))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchOutput))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCorporaResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ResponseFormatConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TranslationConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigMediaResolution), TypeInfoPropertyName = "GenerationConfigMediaResolution2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigResponseModalitie), TypeInfoPropertyName = "GenerationConfigResponseModalitie2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] + [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.FunctionResponseBlob))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.MultiSpeakerVoiceConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Hyperparameters))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImportFileRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Maps))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PlaceAnswerSources))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponsePart))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TextResponseFormat))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TextResponseFormatMimeType), TypeInfoPropertyName = "TextResponseFormatMimeType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFileSearchStoresResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchStats))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExample))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListTunedModelsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StringList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponseToolType), TypeInfoPropertyName = "ToolResponseToolType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WhiteSpaceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoFileMetadata))] 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TypeInfoPropertyName = "ComputerUseDisabledSafetyPolicie2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.MultiSpeakerVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningTask))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningSnapshot))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchState), TypeInfoPropertyName = "GenerateContentBatchState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySetting))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingCategory), TypeInfoPropertyName = "SafetySettingCategory2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingThreshold), TypeInfoPropertyName = "SafetySettingThreshold2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Part))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCode))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResult))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchEntryPoint))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Interval))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchTypes))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeakerVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCodeLanguage), TypeInfoPropertyName = "ExecutableCodeLanguage2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormat))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormatDelivery), TypeInfoPropertyName = "AudioResponseFormatDelivery2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormatMimeType), TypeInfoPropertyName = 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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))] 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 503bad00..d755c8f9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,99 +28,99 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.GenerationConfig? Type0 { get; set; } + public global::Google.Gemini.Tool? Type0 { get; set; } /// /// /// - public float? Type1 { get; set; } + public global::Google.Gemini.CodeExecution? Type1 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type2 { get; set; } + public global::Google.Gemini.GoogleMaps? Type2 { get; set; } /// /// /// - public bool? Type3 { get; set; } + public global::Google.Gemini.GoogleSearch? Type3 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type4 { get; set; } + public global::Google.Gemini.UrlContext? Type4 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type5 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type5 { get; set; } /// /// /// - public global::Google.Gemini.TranslationConfig? Type6 { get; set; } + public global::Google.Gemini.FileSearch? Type6 { get; set; } /// /// /// - public int? Type7 { get; set; } + public global::Google.Gemini.ComputerUse? Type7 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type8 { get; set; } + public global::System.Collections.Generic.IList? Type8 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type9 { get; set; } + public global::Google.Gemini.McpServer? Type9 { get; set; } /// /// /// - public string? Type10 { get; set; } + public global::System.Collections.Generic.IList? Type10 { get; set; } /// /// /// - public global::Google.Gemini.ResponseFormatConfig? Type11 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type11 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type12 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type12 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type13 { get; set; } + public global::Google.Gemini.VoiceConfig? Type13 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type14 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type14 { get; set; } /// /// /// - public object? Type15 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type15 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type16 { get; set; } + public string? Type16 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type17 { get; set; } + public global::System.Collections.Generic.IList? Type17 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type18 { get; set; } + public global::Google.Gemini.CustomMetadata? Type18 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type19 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type19 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type20 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type20 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type21 { get; set; } + public int? Type21 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type22 { get; set; } + public global::System.Collections.Generic.IList? Type22 { get; set; } /// /// /// - public global::Google.Gemini.File? Type23 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type23 { get; set; } /// /// /// @@ -128,916 +128,916 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::System.Collections.Generic.IList? Type25 { get; set; } + public global::Google.Gemini.UsageMetadataServiceTier? Type25 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type26 { get; set; } + public global::Google.Gemini.Schema? Type26 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadataServiceTier? Type27 { get; set; } + public double? Type27 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type28 { get; set; } + public global::System.Collections.Generic.IList? Type28 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type29 { get; set; } + public global::System.Collections.Generic.IList? Type29 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type30 { get; set; } + public global::Google.Gemini.SchemaType? Type30 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type31 { get; set; } + public object? Type31 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type32 { get; set; } + public bool? Type32 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type33 { get; set; } + public global::System.Collections.Generic.Dictionary? Type33 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type34 { get; set; } + public global::Google.Gemini.Dataset? Type34 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type35 { get; set; } + public global::Google.Gemini.TuningExamples? Type35 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type36 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type36 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type37 { get; set; } + public global::Google.Gemini.Status? Type37 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type38 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type38 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type39 { get; set; } + public global::Google.Gemini.GroundingChunk? Type39 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type40 { get; set; } + public global::Google.Gemini.Web? Type40 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type41 { get; set; } + public global::Google.Gemini.RetrievedContext? Type41 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type42 { get; set; } + public global::Google.Gemini.Image? Type42 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type43 { get; set; } + public global::Google.Gemini.Maps? Type43 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type44 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type44 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type45 { get; set; } + public float? Type45 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type46 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type46 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type47 { get; set; } + public global::System.Collections.Generic.IList? Type47 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type48 { get; set; } + public global::Google.Gemini.GeneratedFile? Type48 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type49 { get; set; } + public global::Google.Gemini.CachedContent? Type49 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type50 { get; set; } + public global::Google.Gemini.Content? Type50 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type51 { get; set; } + public global::System.Collections.Generic.IList? Type51 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type52 { get; set; } + public global::Google.Gemini.ToolConfig? Type52 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type53 { get; set; } + public global::System.Collections.Generic.IList? Type53 { get; set; } /// /// /// - public byte[]? Type54 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type54 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type55 { get; set; } + public global::Google.Gemini.ImageConfig? Type55 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type56 { get; set; } + public global::Google.Gemini.Blob? Type56 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type57 { get; set; } + public byte[]? Type57 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type58 { get; set; } + public global::Google.Gemini.InlinedResponses? Type58 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type59 { get; set; } + public global::System.Collections.Generic.IList? Type59 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type60 { get; set; } + public global::Google.Gemini.InlinedResponse? Type60 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type61 { get; set; } + public global::Google.Gemini.Permission? Type61 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type62 { get; set; } + public global::Google.Gemini.PermissionRole? Type62 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type63 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type63 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type64 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type64 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type65 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type65 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type66 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type66 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type67 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type67 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type68 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type68 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type69 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type69 { get; set; } /// /// /// - public double? Type70 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type70 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type71 { get; set; } + public global::Google.Gemini.Document? Type71 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type72 { get; set; } + public global::Google.Gemini.DocumentState? Type72 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type73 { get; set; } + public global::Google.Gemini.SafetyRating? Type73 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type74 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type74 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type75 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type75 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type76 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type76 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type77 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type77 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type78 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type78 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type79 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type79 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type80 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type80 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type81 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type81 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type82 { get; set; } + public global::System.Collections.Generic.IList? Type82 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type83 { get; set; } + public global::Google.Gemini.Operation? Type83 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type84 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type84 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type85 { get; set; } + public global::System.Collections.Generic.IList? Type85 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type86 { get; set; } + public global::Google.Gemini.File? Type86 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type87 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type87 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type88 { get; set; } + public global::System.Collections.Generic.IList? Type88 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type89 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type89 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type90 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type90 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type91 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type91 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type92 { get; set; } + public global::Google.Gemini.FunctionCall? Type92 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type93 { get; set; } + public global::Google.Gemini.ImageResponseFormat? Type93 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type94 { get; set; } + public global::Google.Gemini.ImageResponseFormatImageSize? Type94 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type95 { get; set; } + public global::Google.Gemini.ImageResponseFormatAspectRatio? Type95 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormat? Type96 { get; set; } + public global::Google.Gemini.ImageResponseFormatMimeType? Type96 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormatDelivery? Type97 { get; set; } + public global::Google.Gemini.ImageResponseFormatDelivery? Type97 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormatMimeType? Type98 { get; set; } + public global::System.Collections.Generic.IList? Type98 { get; set; } /// /// /// - public global::Google.Gemini.TextResponseFormat? Type99 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type99 { get; set; } /// /// /// - public global::Google.Gemini.TextResponseFormatMimeType? Type100 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type100 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type101 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type101 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type102 { get; set; } + public global::Google.Gemini.PromptFeedback? Type102 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type103 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type103 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type104 { get; set; } + public global::System.Collections.Generic.IList? Type104 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type105 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type105 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type106 { get; set; } + public global::Google.Gemini.FileSearchStore? Type106 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type107 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type107 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type108 { get; set; } + public global::System.Collections.Generic.IList? Type108 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type109 { get; set; } + public global::System.Collections.Generic.IList? Type109 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type110 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type110 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type111 { get; set; } + public global::System.Collections.Generic.IList? Type111 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type112 { get; set; } + public global::Google.Gemini.Corpus? Type112 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type113 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type113 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type114 { get; set; } + public global::Google.Gemini.GenerationConfig? Type114 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type115 { get; set; } + public global::Google.Gemini.ResponseFormatConfig? Type115 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type116 { get; set; } + public global::Google.Gemini.TranslationConfig? Type116 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type117 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type117 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type118 { get; set; } + public global::System.Collections.Generic.IList? Type118 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type119 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type119 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type120 { get; set; } + public global::Google.Gemini.SpeechConfig? Type120 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type121 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type121 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type122 { get; set; } + public global::System.Collections.Generic.IList? Type122 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type123 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type123 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type124 { get; set; } + public global::Google.Gemini.Hyperparameters? Type124 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type125 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type125 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type126 { get; set; } + public global::Google.Gemini.TextResponseFormat? Type126 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type127 { get; set; } + public global::Google.Gemini.TextResponseFormatMimeType? Type127 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type128 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type128 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type129 { get; set; } + public global::System.Collections.Generic.IList? Type129 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type130 { get; set; } + public global::Google.Gemini.BatchStats? Type130 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type131 { get; set; } + public global::System.Collections.Generic.IList? Type131 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type132 { get; set; } + public global::Google.Gemini.TuningExample? Type132 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type133 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type133 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type134 { get; set; } + public global::System.Collections.Generic.IList? Type134 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type135 { get; set; } + public global::Google.Gemini.TunedModel? Type135 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type136 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type136 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type137 { get; set; } + public global::Google.Gemini.StringList? Type137 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type138 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type138 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type139 { get; set; } + public global::Google.Gemini.ToolResponse? Type139 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type140 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type140 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type141 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type141 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type142 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type142 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type143 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type143 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type144 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type144 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type145 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type145 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type146 { get; set; } + public global::System.Collections.Generic.IList? Type146 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type147 { get; set; } + public global::Google.Gemini.UrlMetadata? Type147 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type148 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type148 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type149 { get; set; } + public global::System.Collections.Generic.IList? Type149 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type150 { get; set; } + public global::Google.Gemini.ComputerUseDisabledSafetyPolicie? Type150 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type151 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type151 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type152 { get; set; } + public global::Google.Gemini.TuningTask? Type152 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type153 { get; set; } + public global::System.Collections.Generic.IList? Type153 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type154 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type154 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type155 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type155 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type156 { get; set; } + public global::System.Collections.Generic.IList? Type156 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type157 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type157 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type158 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type158 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type159 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type159 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type160 { get; set; } + public global::Google.Gemini.InputConfig? Type160 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type161 { get; set; } + public global::System.Collections.Generic.IList? Type161 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type162 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type162 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type163 { get; set; } + public global::Google.Gemini.SafetySetting? Type163 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type164 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type164 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type165 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type165 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type166 { get; set; } + public global::Google.Gemini.InlinedRequests? Type166 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type167 { get; set; } + public global::System.Collections.Generic.IList? Type167 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type168 { get; set; } + public global::Google.Gemini.InlinedRequest? Type168 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type169 { get; set; } + public global::Google.Gemini.Part? Type169 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type170 { get; set; } + public global::Google.Gemini.ExecutableCode? Type170 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type171 { get; set; } + public global::Google.Gemini.FunctionResponse? Type171 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type172 { get; set; } + public global::Google.Gemini.FileData? Type172 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type173 { get; set; } + public global::Google.Gemini.VideoMetadata? Type173 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type174 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type174 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type175 { get; set; } + public global::Google.Gemini.ToolCall? Type175 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type176 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type176 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type177 { get; set; } + public global::System.Collections.Generic.IList? Type177 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type178 { get; set; } + public global::System.Collections.Generic.IList? Type178 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type179 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type179 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type180 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type180 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type181 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type181 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type182 { get; set; } + public global::Google.Gemini.Interval? Type182 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type183 { get; set; } + public global::Google.Gemini.SearchTypes? Type183 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type184 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type184 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type185 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type185 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type186 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type186 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type187 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type187 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseDisabledSafetyPolicie? Type188 { get; set; } + public global::Google.Gemini.AudioResponseFormat? Type188 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type189 { get; set; } + public global::Google.Gemini.AudioResponseFormatMimeType? Type189 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type190 { get; set; } + public global::Google.Gemini.AudioResponseFormatDelivery? Type190 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type191 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type191 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type192 { get; set; } + public global::System.Collections.Generic.IList? Type192 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type193 { get; set; } + public global::Google.Gemini.Model? Type193 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type194 { get; set; } + public global::Google.Gemini.LatLng? Type194 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type195 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type195 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type196 { get; set; } + public global::Google.Gemini.ImageSearch? Type196 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type197 { get; set; } + public global::Google.Gemini.CitationSource? Type197 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type198 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type198 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type199 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type199 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type200 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type200 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormat? Type201 { get; set; } + public global::System.Collections.Generic.IList? Type201 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatAspectRatio? Type202 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type202 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatImageSize? Type203 { get; set; } + public global::System.Collections.Generic.Dictionary? Type203 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatDelivery? Type204 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type204 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatMimeType? Type205 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type205 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type206 { get; set; } + public global::System.Collections.Generic.IList? Type206 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type207 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type207 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type208 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type208 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type209 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type209 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type210 { get; set; } + public global::System.Collections.Generic.IList? Type210 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type211 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type211 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type212 { get; set; } + public global::Google.Gemini.Empty? Type212 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type213 { get; set; } + public global::System.Collections.Generic.IList? Type213 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type214 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type214 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type215 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type215 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type216 { get; set; } + public global::System.Collections.Generic.IList? Type216 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type217 { get; set; } + public global::Google.Gemini.TopCandidates? Type217 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type218 { get; set; } + public global::System.Collections.Generic.IList? Type218 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type219 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type219 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type220 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type220 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type221 { get; set; } + public global::Google.Gemini.CitationMetadata? Type221 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type222 { get; set; } + public global::System.Collections.Generic.IList? Type222 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type223 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type223 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type224 { get; set; } + public global::System.Collections.Generic.IList? Type224 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type225 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type225 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type226 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type226 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type227 { get; set; } + public global::System.Collections.Generic.IList? Type227 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type228 { get; set; } + public global::Google.Gemini.TunedModelState? Type228 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type229 { get; set; } + public global::Google.Gemini.TunedModelSource? Type229 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type230 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type230 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type231 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type231 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type232 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type232 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type233 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type233 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type234 { get; set; } + public global::Google.Gemini.FileSource? Type234 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type235 { get; set; } + public global::Google.Gemini.FileState? Type235 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type236 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type236 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type237 { get; set; } + public global::Google.Gemini.WebSearch? Type237 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type238 { get; set; } + public global::System.Collections.Generic.IList? Type238 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type239 { get; set; } + public global::Google.Gemini.Candidate? Type239 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type240 { get; set; } + public global::Google.Gemini.LogprobsResult? 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::Google.Gemini.CandidateFinishReason? Type242 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type243 { get; set; } + public global::System.Collections.Generic.IList? Type243 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type244 { get; set; } + public global::Google.Gemini.ModelStatus? Type244 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type245 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type245 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type246 { get; set; } + public global::System.Collections.Generic.IList? Type246 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type247 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type247 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type248 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type248 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type249 { get; set; } + public global::System.Collections.Generic.IList? Type249 { 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; } /// /// /// @@ -1045,111 +1045,111 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - 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; } /// /// /// - public global::System.Collections.Generic.List? ListType24 { get; set; } + public global::System.Collections.Generic.List? ListType24 { get; set; } /// /// /// - 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; } /// /// /// @@ -1157,58 +1157,58 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - 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; } /// /// /// - public global::System.Collections.Generic.List? ListType45 { get; set; } + public global::System.Collections.Generic.List? ListType45 { get; set; } } } \ No newline at end of file diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs index 5f9a1bf9..31aabb54 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class AttributionSourceId { - /// - /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("semanticRetrieverChunk")] - public global::Google.Gemini.SemanticRetrieverChunk? SemanticRetrieverChunk { get; set; } - /// /// Identifier for a part within a `GroundingPassage`. /// [global::System.Text.Json.Serialization.JsonPropertyName("groundingPassage")] public global::Google.Gemini.GroundingPassageId? GroundingPassage { get; set; } + /// + /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("semanticRetrieverChunk")] + public global::Google.Gemini.SemanticRetrieverChunk? SemanticRetrieverChunk { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class AttributionSourceId /// /// Initializes a new instance of the class. /// - /// - /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. - /// /// /// Identifier for a part within a `GroundingPassage`. /// + /// + /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public AttributionSourceId( - global::Google.Gemini.SemanticRetrieverChunk? semanticRetrieverChunk, - global::Google.Gemini.GroundingPassageId? groundingPassage) + global::Google.Gemini.GroundingPassageId? groundingPassage, + global::Google.Gemini.SemanticRetrieverChunk? semanticRetrieverChunk) { - this.SemanticRetrieverChunk = semanticRetrieverChunk; this.GroundingPassage = groundingPassage; + this.SemanticRetrieverChunk = semanticRetrieverChunk; } /// 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 d6fde989..7c0d35d4 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 @@ -8,6 +8,13 @@ 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. The delivery mode for the audio output. /// @@ -21,13 +28,6 @@ public sealed partial class AudioResponseFormat [global::System.Text.Json.Serialization.JsonPropertyName("sampleRate")] public int? SampleRate { 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). /// @@ -43,15 +43,15 @@ public sealed partial class AudioResponseFormat /// /// Initializes a new instance of the class. /// + /// + /// Optional. The MIME type of the audio output. + /// /// /// Optional. The delivery mode for the audio output. /// /// /// Optional. Sample rate in Hz. /// - /// - /// Optional. The MIME type of the audio output. - /// /// /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). /// @@ -59,14 +59,14 @@ public sealed partial class AudioResponseFormat [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public AudioResponseFormat( + global::Google.Gemini.AudioResponseFormatMimeType? mimeType, global::Google.Gemini.AudioResponseFormatDelivery? delivery, int? sampleRate, - global::Google.Gemini.AudioResponseFormatMimeType? mimeType, int? bitRate) { + this.MimeType = mimeType; this.Delivery = delivery; this.SampleRate = sampleRate; - 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 1bd6145a..7db4b5ba 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 @@ -8,6 +8,12 @@ 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 @@ -15,12 +21,6 @@ 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::System.Collections.Generic.IList? embeddings, - global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata) + global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata, + global::System.Collections.Generic.IList? embeddings) { - this.Embeddings = embeddings; this.UsageMetadata = usageMetadata; + this.Embeddings = embeddings; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs index 670d2d70..553a7181 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class BatchStats { /// - /// Output only. The number of requests that are still pending processing.
+ /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] - public string? PendingRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } /// /// Output only. The number of requests in the batch.
@@ -23,18 +23,18 @@ public sealed partial class BatchStats public string? RequestCount { get; set; } /// - /// Output only. The number of requests that failed to be processed.
+ /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] + public string? SuccessfulRequestCount { get; set; } /// - /// Output only. The number of requests that were successfully processed.
+ /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] + public string? PendingRequestCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,35 +45,35 @@ public sealed partial class BatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that are still pending processing.
+ /// + /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// /// /// Output only. The number of requests in the batch.
/// Included only in responses /// - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// + /// + /// Output only. The number of requests that are still pending processing.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( - string? pendingRequestCount, - string? requestCount, string? failedRequestCount, - string? successfulRequestCount) + string? requestCount, + string? successfulRequestCount, + string? pendingRequestCount) { - this.PendingRequestCount = pendingRequestCount; - this.RequestCount = requestCount; this.FailedRequestCount = failedRequestCount; + this.RequestCount = requestCount; this.SuccessfulRequestCount = successfulRequestCount; + this.PendingRequestCount = pendingRequestCount; } /// 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 c62cb3a1..de62a1d4 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 @@ -9,18 +9,10 @@ namespace Google.Gemini public sealed partial class CachedContent { /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Output only. When the cache entry was last updated in UTC time.
- /// 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("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] + public string? ExpireTime { get; set; } /// /// Output only. Creation time of the cache entry.
@@ -30,10 +22,10 @@ public sealed partial class CachedContent public string? CreateTime { get; set; } /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// 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("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response @@ -42,46 +34,54 @@ public sealed partial class CachedContent public global::System.Collections.Generic.IList? Tools { get; set; } /// - /// Optional. Input only. Immutable. The content to cache. + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { 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. + /// Input only. New TTL for this resource, input only. /// - [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] - public string? ExpireTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] + public string? Ttl { get; set; } /// - /// Metadata on the usage of the cached content. + /// Optional. Input only. Immutable. The content to cache. /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { 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. When the cache entry was last updated in UTC time.
+ /// 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("updateTime")] + public string? UpdateTime { get; set; } /// - /// Input only. New TTL for this resource, input only. + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Metadata on the usage of the cached content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { 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. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses - /// - /// - /// Output only. When the cache entry was last updated in UTC time.
- /// 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. /// /// /// Output only. Creation time of the cache entry.
/// Included only in responses /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// 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 /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// /// Optional. Input only. Immutable. The content to cache. /// + /// + /// Output only. When the cache entry was last updated in UTC time.
+ /// 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. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Metadata on the usage of the cached content. /// - /// - /// 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. - /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( - string? name, - string? updateTime, + string? expireTime, string? createTime, - string? displayName, + global::Google.Gemini.Content? systemInstruction, global::System.Collections.Generic.IList? tools, + global::Google.Gemini.ToolConfig? toolConfig, + string? name, + string? ttl, global::System.Collections.Generic.IList? contents, + string? updateTime, string? model, - string? expireTime, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, - global::Google.Gemini.Content? systemInstruction, - string? ttl, - global::Google.Gemini.ToolConfig? toolConfig) + string? displayName, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata) { - this.Name = name; - this.UpdateTime = updateTime; + this.ExpireTime = expireTime; this.CreateTime = createTime; - this.DisplayName = displayName; + this.SystemInstruction = systemInstruction; this.Tools = tools; + this.ToolConfig = toolConfig; + this.Name = name; + this.Ttl = ttl; this.Contents = contents; + this.UpdateTime = updateTime; this.Model = model; - this.ExpireTime = expireTime; + this.DisplayName = displayName; this.UsageMetadata = usageMetadata; - this.SystemInstruction = systemInstruction; - this.Ttl = ttl; - this.ToolConfig = toolConfig; } /// 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 ca492325..77c84158 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 @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class Candidate { + /// + /// Output only. Index of the candidate in the list of response candidates.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("index")] + public int? Index { get; set; } + /// /// Output only. Token count for this candidate.
/// Included only in responses @@ -23,10 +30,10 @@ public sealed partial class Candidate public double? AvgLogprobs { get; set; } /// - /// A collection of source attributions for a piece of content. + /// Metadata returned to client when grounding is enabled. /// - [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] - public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] + public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } /// /// Logprobs Result @@ -35,37 +42,36 @@ public sealed partial class Candidate public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } /// - /// Metadata related to url context retrieval tool. + /// 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("urlContextMetadata")] - public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { 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. + /// A collection of source attributions for a piece of content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] + public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } /// - /// 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 + /// 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("finishMessage")] - public string? FinishMessage { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
+ /// 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("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("groundingAttributions")] + public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } /// - /// Metadata returned to client when grounding is enabled. + /// Metadata related to url context retrieval tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] - public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] + public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// /// List of ratings for the safety of a response candidate. There is at most one rating per category. @@ -74,18 +80,12 @@ public sealed partial class Candidate public global::System.Collections.Generic.IList? SafetyRatings { get; set; } /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } - - /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// 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("groundingAttributions")] - public global::System.Collections.Generic.IList? GroundingAttributions { 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; } /// /// Additional properties that are not explicitly defined in the schema @@ -96,6 +96,10 @@ public sealed partial class Candidate /// /// Initializes a new instance of the class. /// + /// + /// Output only. Index of the candidate in the list of response candidates.
+ /// Included only in responses + /// /// /// Output only. Token count for this candidate.
/// Included only in responses @@ -104,69 +108,65 @@ public sealed partial class Candidate /// Output only. Average log probability score of the candidate.
/// Included only in responses /// - /// - /// A collection of source attributions for a piece of content. + /// + /// Metadata returned to client when grounding is enabled. /// /// /// Logprobs Result /// - /// - /// 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. - /// /// /// 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 /// - /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
+ /// + /// A collection of source attributions for a piece of content. + /// + /// + /// 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. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// - /// - /// Metadata returned to client when grounding is enabled. + /// + /// Metadata related to url context retrieval tool. /// /// /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// - /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses - /// - /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// + /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( + int? index, int? tokenCount, double? avgLogprobs, - global::Google.Gemini.CitationMetadata? citationMetadata, + global::Google.Gemini.GroundingMetadata? groundingMetadata, global::Google.Gemini.LogprobsResult? logprobsResult, - global::Google.Gemini.UrlContextMetadata? urlContextMetadata, - global::Google.Gemini.Content? content, string? finishMessage, - global::Google.Gemini.CandidateFinishReason? finishReason, - global::Google.Gemini.GroundingMetadata? groundingMetadata, + global::Google.Gemini.CitationMetadata? citationMetadata, + global::Google.Gemini.Content? content, + global::System.Collections.Generic.IList? groundingAttributions, + global::Google.Gemini.UrlContextMetadata? urlContextMetadata, global::System.Collections.Generic.IList? safetyRatings, - int? index, - global::System.Collections.Generic.IList? groundingAttributions) + global::Google.Gemini.CandidateFinishReason? finishReason) { + this.Index = index; this.TokenCount = tokenCount; this.AvgLogprobs = avgLogprobs; - this.CitationMetadata = citationMetadata; + this.GroundingMetadata = groundingMetadata; this.LogprobsResult = logprobsResult; - this.UrlContextMetadata = urlContextMetadata; - this.Content = content; this.FinishMessage = finishMessage; - this.FinishReason = finishReason; - this.GroundingMetadata = groundingMetadata; - this.SafetyRatings = safetyRatings; - this.Index = index; + this.CitationMetadata = citationMetadata; + this.Content = content; this.GroundingAttributions = groundingAttributions; + this.UrlContextMetadata = urlContextMetadata; + this.SafetyRatings = safetyRatings; + this.FinishReason = finishReason; } /// 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 6708374e..38c4e4b1 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class CitationSource { /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. + /// Optional. End of the attributed segment, exclusive. /// - [global::System.Text.Json.Serialization.JsonPropertyName("license")] - public string? License { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { 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. @@ -27,10 +27,10 @@ public sealed partial class CitationSource public string? Uri { get; set; } /// - /// Optional. End of the attributed segment, exclusive. + /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] - public int? EndIndex { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("license")] + public string? License { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,8 +41,8 @@ public sealed partial class CitationSource /// /// Initializes a new instance of the class. /// - /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. + /// + /// Optional. End of the attributed segment, exclusive. /// /// /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. @@ -50,22 +50,22 @@ public sealed partial class CitationSource /// /// Optional. URI that is attributed as a source for a portion of the text. /// - /// - /// Optional. End of the attributed segment, exclusive. + /// + /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( - string? license, + int? endIndex, int? startIndex, string? uri, - int? endIndex) + string? license) { - this.License = license; + this.EndIndex = endIndex; this.StartIndex = startIndex; this.Uri = uri; - this.EndIndex = endIndex; + this.License = license; } /// 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 11556e1a..75d57581 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Required. Outcome of the code execution. /// @@ -21,6 +15,12 @@ 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. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. + /// + [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. /// @@ -36,12 +36,12 @@ public sealed partial class CodeExecutionResult /// /// Initializes a new instance of the class. /// - /// - /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. - /// /// /// Required. Outcome of the code execution. /// + /// + /// 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. /// @@ -49,12 +49,12 @@ public sealed partial class CodeExecutionResult [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CodeExecutionResult( - string? id, global::Google.Gemini.CodeExecutionResultOutcome? outcome, + string? id, string? output) { - this.Id = id; this.Outcome = outcome; + this.Id = id; this.Output = output; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs index 6e234610..4760bc65 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class ComputerUse { /// - /// 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. + /// Required. The environment being operated. /// - [global::System.Text.Json.Serialization.JsonPropertyName("excludedPredefinedFunctions")] - public global::System.Collections.Generic.IList? ExcludedPredefinedFunctions { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("environment")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter))] + public global::Google.Gemini.ComputerUseEnvironment? Environment { get; set; } /// /// Optional. Whether enable the prompt injection detection check on computer-use request. @@ -21,11 +22,10 @@ public sealed partial class ComputerUse public bool? EnablePromptInjectionDetection { get; set; } /// - /// Required. The environment being operated. + /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("environment")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter))] - public global::Google.Gemini.ComputerUseEnvironment? Environment { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("excludedPredefinedFunctions")] + public global::System.Collections.Generic.IList? ExcludedPredefinedFunctions { get; set; } /// /// Optional. Disabled safety policies for computer use. @@ -42,14 +42,14 @@ public sealed partial class ComputerUse /// /// Initializes a new instance of the class. /// - /// - /// 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. + /// + /// Required. The environment being operated. /// /// /// Optional. Whether enable the prompt injection detection check on computer-use request. /// - /// - /// Required. The environment being operated. + /// + /// 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. /// /// /// Optional. Disabled safety policies for computer use. @@ -58,14 +58,14 @@ public sealed partial class ComputerUse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ComputerUse( - global::System.Collections.Generic.IList? excludedPredefinedFunctions, - bool? enablePromptInjectionDetection, global::Google.Gemini.ComputerUseEnvironment? environment, + bool? enablePromptInjectionDetection, + global::System.Collections.Generic.IList? excludedPredefinedFunctions, global::System.Collections.Generic.IList? disabledSafetyPolicies) { - this.ExcludedPredefinedFunctions = excludedPredefinedFunctions; - this.EnablePromptInjectionDetection = enablePromptInjectionDetection; this.Environment = environment; + this.EnablePromptInjectionDetection = enablePromptInjectionDetection; + this.ExcludedPredefinedFunctions = excludedPredefinedFunctions; this.DisabledSafetyPolicies = disabledSafetyPolicies; } 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 db1b7f3e..c53213b9 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 { - /// - /// 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; } + /// + /// 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; } + /// /// 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. /// - /// - /// 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. /// + /// + /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Content( - global::System.Collections.Generic.IList? parts, - string? role) + string? role, + global::System.Collections.Generic.IList? parts) { - this.Parts = parts; this.Role = role; + this.Parts = parts; } /// 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 941fe884..2381f72d 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 { - /// - /// 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; } + /// + /// 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; } + /// /// 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. /// - /// - /// 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. /// + /// + /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ContentEmbedding( - global::System.Collections.Generic.IList? shape, - global::System.Collections.Generic.IList? values) + global::System.Collections.Generic.IList? values, + global::System.Collections.Generic.IList? shape) { - this.Shape = shape; this.Values = values; + this.Shape = shape; } /// 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 311248e0..5bba25f6 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 @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class CountTokensResponse { /// - /// Output only. List of modalities that were processed in the request input.
+ /// Output only. List of modalities that were processed in the cached content.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + [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. @@ -22,11 +22,11 @@ public sealed partial class CountTokensResponse public int? TotalTokens { get; set; } /// - /// Output only. List of modalities that were processed in the cached content.
+ /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// /// Number of tokens in the cached part of the prompt (the cached content). @@ -43,15 +43,15 @@ public sealed partial class CountTokensResponse /// /// Initializes a new instance of the class. /// - /// - /// Output only. List of modalities that were processed in the request input.
+ /// + /// 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. /// - /// - /// Output only. List of modalities that were processed in the cached content.
+ /// + /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// /// @@ -61,14 +61,14 @@ public sealed partial class CountTokensResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( - global::System.Collections.Generic.IList? promptTokensDetails, - int? totalTokens, global::System.Collections.Generic.IList? cacheTokensDetails, + int? totalTokens, + global::System.Collections.Generic.IList? promptTokensDetails, int? cachedContentTokenCount) { - this.PromptTokensDetails = promptTokensDetails; - this.TotalTokens = totalTokens; this.CacheTokensDetails = cacheTokensDetails; + this.TotalTokens = totalTokens; + this.PromptTokensDetails = promptTokensDetails; this.CachedContentTokenCount = cachedContentTokenCount; } 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 d4c24cd6..fe20cee5 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 +9,10 @@ namespace Google.Gemini public sealed partial class CustomLongRunningOperation { /// - /// 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 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("error")] - public global::Google.Gemini.Status? Error { 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`. @@ -21,10 +21,10 @@ public sealed partial class CustomLongRunningOperation 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 `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("done")] - public bool? Done { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// /// 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}`. @@ -47,14 +47,14 @@ public sealed partial class CustomLongRunningOperation /// /// Initializes a new instance of the class. /// - /// - /// 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 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 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`. /// - /// - /// 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 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}`. @@ -66,15 +66,15 @@ public sealed partial class CustomLongRunningOperation [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomLongRunningOperation( - global::Google.Gemini.Status? error, - object? response, bool? done, + object? response, + global::Google.Gemini.Status? error, string? name, object? metadata) { - this.Error = error; - this.Response = response; this.Done = done; + this.Response = response; + this.Error = error; this.Name = name; this.Metadata = metadata; } 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 5abb142f..88bc1596 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 @@ -9,11 +9,16 @@ namespace Google.Gemini public sealed partial class Document { /// - /// Output only. The Timestamp of when the `Document` was last updated.
- /// Included only in responses + /// 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" /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { 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. The size of raw bytes ingested into the Document.
@@ -22,12 +27,6 @@ public sealed partial class Document [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; } - /// /// Output only. The mime type of the Document.
/// Included only in responses @@ -36,23 +35,17 @@ public sealed partial class Document public string? MimeType { get; set; } /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// 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("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Output only. The Timestamp of when the `Document` was created.
+ /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - - /// - /// 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" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Output only. Current state of the `Document`.
@@ -62,6 +55,13 @@ 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 Timestamp of when the `Document` 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 /// @@ -71,56 +71,56 @@ public sealed partial class Document /// /// Initializes a new instance of the class. /// - /// - /// Output only. The Timestamp of when the `Document` was last updated.
- /// Included only in responses + /// + /// 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" + /// + /// + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. /// /// /// 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` - /// /// /// Output only. The mime type of the Document.
/// Included only in responses /// - /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// + /// 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` /// - /// - /// Output only. The Timestamp of when the `Document` was created.
+ /// + /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// - /// - /// 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. Current state of the `Document`.
/// Included only in responses /// + /// + /// Output only. The Timestamp of when the `Document` was created.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - string? updateTime, + string? displayName, + global::System.Collections.Generic.IList? customMetadata, string? sizeBytes, - string? name, string? mimeType, - global::System.Collections.Generic.IList? customMetadata, - string? createTime, - string? displayName, - global::Google.Gemini.DocumentState? state) + string? name, + string? updateTime, + global::Google.Gemini.DocumentState? state, + string? createTime) { - this.UpdateTime = updateTime; + this.DisplayName = displayName; + this.CustomMetadata = customMetadata; this.SizeBytes = sizeBytes; - this.Name = name; this.MimeType = mimeType; - this.CustomMetadata = customMetadata; - this.CreateTime = createTime; - this.DisplayName = displayName; + this.Name = name; + this.UpdateTime = updateTime; this.State = state; + this.CreateTime = createTime; } /// 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 314da644..08e676a2 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 @@ -8,18 +8,6 @@ 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; } - - /// - /// Configures the input to the batch request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } - /// /// Output only. The state of the batch.
/// Included only in responses @@ -28,20 +16,6 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] public global::Google.Gemini.EmbedContentBatchState? State { get; set; } - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } - /// /// Output only. The time at which the batch was created.
/// Included only in responses @@ -57,10 +31,16 @@ public sealed partial class EmbedContentBatch 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. + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } + + /// + /// Stats about the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -69,16 +49,36 @@ public sealed partial class EmbedContentBatch public string? Model { get; set; } /// - /// 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 /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Stats about the batch. + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputEmbedContentConfig? InputConfig { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } + + /// + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + + /// + /// Required. The user-defined name of this batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,24 +89,10 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Required. The user-defined name of this batch. - /// - /// - /// Configures the input to the batch request. - /// /// /// Output only. The state of the batch.
/// Included only in responses /// - /// - /// 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 last updated.
- /// Included only in responses - /// /// /// Output only. The time at which the batch was created.
/// Included only in responses @@ -115,45 +101,59 @@ public sealed partial class EmbedContentBatch /// Output only. The time at which the batch processing completed.
/// 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. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// /// /// Stats about the batch. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses + /// + /// + /// Configures the input to the batch request. + /// + /// + /// 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 + /// + /// + /// Required. The user-defined name of this batch. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( - string? displayName, - global::Google.Gemini.InputEmbedContentConfig? inputConfig, global::Google.Gemini.EmbedContentBatchState? state, - string? name, - string? updateTime, string? createTime, string? endTime, - string? priority, - string? model, global::Google.Gemini.EmbedContentBatchOutput? output, - global::Google.Gemini.EmbedContentBatchStats? batchStats) + global::Google.Gemini.EmbedContentBatchStats? batchStats, + string? model, + string? name, + global::Google.Gemini.InputEmbedContentConfig? inputConfig, + string? priority, + string? updateTime, + string? displayName) { - this.DisplayName = displayName; - this.InputConfig = inputConfig; this.State = state; - this.Name = name; - this.UpdateTime = updateTime; this.CreateTime = createTime; this.EndTime = endTime; - this.Priority = priority; - this.Model = model; this.Output = output; this.BatchStats = batchStats; + this.Model = model; + this.Name = name; + this.InputConfig = inputConfig; + this.Priority = priority; + this.UpdateTime = updateTime; + this.DisplayName = displayName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs index 811d2e62..808cd82f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatchStats { + /// + /// Output only. The number of requests in the batch.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] + public string? RequestCount { get; set; } + /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses @@ -22,13 +29,6 @@ public sealed partial class EmbedContentBatchStats [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] public string? PendingRequestCount { get; set; } - /// - /// Output only. The number of requests in the batch.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { get; set; } - /// /// Output only. The number of requests that failed to be processed.
/// Included only in responses @@ -45,6 +45,10 @@ public sealed partial class EmbedContentBatchStats /// /// Initializes a new instance of the class. /// + /// + /// Output only. The number of requests in the batch.
+ /// Included only in responses + /// /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses @@ -53,10 +57,6 @@ public sealed partial class EmbedContentBatchStats /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - /// - /// Output only. The number of requests in the batch.
- /// Included only in responses - /// /// /// Output only. The number of requests that failed to be processed.
/// Included only in responses @@ -65,14 +65,14 @@ public sealed partial class EmbedContentBatchStats [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchStats( + string? requestCount, string? successfulRequestCount, string? pendingRequestCount, - string? requestCount, string? failedRequestCount) { + this.RequestCount = requestCount; this.SuccessfulRequestCount = successfulRequestCount; this.PendingRequestCount = pendingRequestCount; - this.RequestCount = requestCount; this.FailedRequestCount = failedRequestCount; } 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 ecf5f32c..b427ede3 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class EmbedContentConfig { /// - /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - public int? OutputDimensionality { get; set; } - - /// - /// Optional. The title for the text. + /// Optional. Whether to enable OCR for document content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] + public bool? DocumentOcr { get; set; } /// /// Optional. Whether to extract audio from video content. @@ -26,6 +20,12 @@ public sealed partial class EmbedContentConfig [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. The task type of the embedding. /// @@ -34,10 +34,10 @@ public sealed partial class EmbedContentConfig public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } /// - /// Optional. Whether to enable OCR for document content. + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// - [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] - public bool? DocumentOcr { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + public int? OutputDimensionality { get; set; } /// /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. @@ -54,20 +54,20 @@ public sealed partial class EmbedContentConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. - /// - /// - /// Optional. The title for the text. + /// + /// Optional. Whether to enable OCR for document content. /// /// /// Optional. Whether to extract audio from video content. /// + /// + /// Optional. The title for the text. + /// /// /// Optional. The task type of the embedding. /// - /// - /// Optional. Whether to enable OCR for document content. + /// + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// /// /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. @@ -76,18 +76,18 @@ public sealed partial class EmbedContentConfig [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentConfig( - int? outputDimensionality, - string? title, + bool? documentOcr, bool? audioTrackExtraction, + string? title, global::Google.Gemini.EmbedContentConfigTaskType? taskType, - bool? documentOcr, + int? outputDimensionality, bool? autoTruncate) { - this.OutputDimensionality = outputDimensionality; - this.Title = title; + this.DocumentOcr = documentOcr; this.AudioTrackExtraction = audioTrackExtraction; + this.Title = title; this.TaskType = taskType; - this.DocumentOcr = documentOcr; + this.OutputDimensionality = outputDimensionality; this.AutoTruncate = autoTruncate; } 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 b584fe0d..d56eec99 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 @@ -10,32 +10,12 @@ namespace Google.Gemini /// public sealed partial class EmbedContentRequest { - /// - /// Configurations for the EmbedContent request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("embedContentConfig")] - public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { 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; } - /// /// 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}` /// [global::System.Text.Json.Serialization.JsonPropertyName("model")] public string? Model { 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.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. /// @@ -50,6 +30,26 @@ public sealed partial class EmbedContentRequest [global::System.Obsolete("This property marked as deprecated.")] public int? OutputDimensionality { 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; } + + /// + /// 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; } + + /// + /// Configurations for the EmbedContent request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("embedContentConfig")] + public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -59,26 +59,26 @@ public sealed partial class EmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Configurations for the EmbedContent request. + /// + /// 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}` /// /// /// 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. /// - /// - /// 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}` + /// + /// Configurations for the EmbedContent request. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentRequest( - global::Google.Gemini.EmbedContentConfig? embedContentConfig, + string? model, global::Google.Gemini.Content? content, - string? model) + global::Google.Gemini.EmbedContentConfig? embedContentConfig) { - this.EmbedContentConfig = embedContentConfig; - this.Content = content; this.Model = model; + this.Content = content; + this.EmbedContentConfig = embedContentConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs index 9af6f777..9b37be1c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ExecutableCode { - /// - /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Required. The code to be executed. /// [global::System.Text.Json.Serialization.JsonPropertyName("code")] public string? Code { get; set; } + /// + /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Required. Programming language of the `code`. /// @@ -36,12 +36,12 @@ public sealed partial class ExecutableCode /// /// Initializes a new instance of the class. /// - /// - /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. - /// /// /// Required. The code to be executed. /// + /// + /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. + /// /// /// Required. Programming language of the `code`. /// @@ -49,12 +49,12 @@ public sealed partial class ExecutableCode [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ExecutableCode( - string? id, string? code, + string? id, global::Google.Gemini.ExecutableCodeLanguage? language) { - this.Id = id; this.Code = code; + this.Id = id; this.Language = language; } 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 cb8ca0e0..90b7a91b 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 @@ -9,39 +9,38 @@ namespace Google.Gemini public sealed partial class File { /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// Output only. The download uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { get; set; } /// - /// Output only. The timestamp of when the `File` was created.
- /// 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("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Output only. MIME type of the file.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } /// - /// Output only. MIME type of the file.
+ /// 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("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// - /// Output only. The download uri of the `File`.
+ /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] - public string? DownloadUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] + public byte[]? Sha256Hash { get; set; } /// /// Metadata for a video `File`. @@ -50,30 +49,32 @@ public sealed partial class File public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } /// - /// Source of the File. + /// Output only. The timestamp of when the `File` was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter))] - public global::Google.Gemini.FileSource? Source { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { 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; } /// - /// 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`.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { 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" + /// Source of the File. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("source")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter))] + public global::Google.Gemini.FileSource? Source { get; set; } /// /// Output only. Processing state of the File.
@@ -84,24 +85,23 @@ public sealed partial class File public global::Google.Gemini.FileState? State { get; set; } /// - /// Output only. Size of the file in bytes.
+ /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { 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; } /// - /// 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` /// - [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] - public byte[]? Sha256Hash { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { 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 timestamp of when the `File` was last updated.
+ /// + /// Output only. The download uri of the `File`.
/// Included only in responses /// - /// - /// Output only. The timestamp of when the `File` was created.
+ /// + /// 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. MIME type of the file.
/// Included only in responses /// /// /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - /// - /// Output only. MIME type of the file.
- /// Included only in responses - /// - /// - /// Output only. The download uri of the `File`.
+ /// + /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// /// /// Metadata for a video `File`. /// - /// - /// Source of the File. + /// + /// Output only. The timestamp of when the `File` was last updated.
+ /// Included only in responses + /// + /// + /// Output only. Size of the file in bytes.
+ /// Included only in responses /// /// /// Output only. The uri of the `File`.
/// 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` - /// - /// - /// 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" + /// + /// Source of the File. /// /// /// Output only. Processing state of the File.
/// Included only in responses /// - /// - /// Output only. Size of the file in bytes.
+ /// + /// Output only. The timestamp of when the `File` was created.
/// 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" /// - /// - /// 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` /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - string? updateTime, - string? createTime, - string? expirationTime, - string? mimeType, string? downloadUri, + global::Google.Gemini.Status? error, + string? mimeType, + string? expirationTime, + byte[]? sha256Hash, global::Google.Gemini.VideoFileMetadata? videoMetadata, - global::Google.Gemini.FileSource? source, + string? updateTime, + string? sizeBytes, string? uri, - string? name, - string? displayName, + global::Google.Gemini.FileSource? source, global::Google.Gemini.FileState? state, - string? sizeBytes, - global::Google.Gemini.Status? error, - byte[]? sha256Hash) + string? createTime, + string? displayName, + string? name) { - this.UpdateTime = updateTime; - this.CreateTime = createTime; - this.ExpirationTime = expirationTime; - this.MimeType = mimeType; this.DownloadUri = downloadUri; + this.Error = error; + this.MimeType = mimeType; + this.ExpirationTime = expirationTime; + this.Sha256Hash = sha256Hash; this.VideoMetadata = videoMetadata; - this.Source = source; + this.UpdateTime = updateTime; + this.SizeBytes = sizeBytes; this.Uri = uri; - this.Name = name; - this.DisplayName = displayName; + this.Source = source; this.State = state; - this.SizeBytes = sizeBytes; - this.Error = error; - this.Sha256Hash = sha256Hash; + this.CreateTime = createTime; + this.DisplayName = displayName; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs index fc8fdc8c..b879641a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FileData { - /// - /// Required. URI. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileUri")] - public string? FileUri { get; set; } - /// /// Optional. The IANA standard MIME type of the source data. /// [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Required. URI. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileUri")] + public string? FileUri { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class FileData /// /// Initializes a new instance of the class. /// - /// - /// Required. URI. - /// /// /// Optional. The IANA standard MIME type of the source data. /// + /// + /// Required. URI. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileData( - string? fileUri, - string? mimeType) + string? mimeType, + string? fileUri) { - this.FileUri = fileUri; this.MimeType = mimeType; + this.FileUri = fileUri; } /// 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 0cb34874..60bebf31 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("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; } - /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStoreNames")] public global::System.Collections.Generic.IList? FileSearchStoreNames { get; set; } + /// + /// Optional. The number of semantic retrieval chunks to retrieve. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class FileSearch /// /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// - /// - /// Optional. The number of semantic retrieval chunks to retrieve. - /// /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// + /// + /// Optional. The number of semantic retrieval chunks to retrieve. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( string? metadataFilter, - int? topK, - global::System.Collections.Generic.IList? fileSearchStoreNames) + global::System.Collections.Generic.IList? fileSearchStoreNames, + int? topK) { this.MetadataFilter = metadataFilter; - this.TopK = topK; this.FileSearchStoreNames = fileSearchStoreNames; + this.TopK = topK; } /// 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 eb021ded..9d1126f6 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 @@ -8,6 +8,12 @@ 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" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + /// /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses @@ -23,24 +29,18 @@ 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 number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] - public string? FailedDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] + public string? ActiveDocumentsCount { get; set; } /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { 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; } + [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. @@ -49,25 +49,25 @@ public sealed partial class FileSearchStore public string? EmbeddingModel { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// 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("pendingDocumentsCount")] - public string? PendingDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { 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`.
+ /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] - public string? ActiveDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] + public string? PendingDocumentsCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -78,6 +78,9 @@ 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 Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses @@ -86,55 +89,52 @@ 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 number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// 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" - /// /// /// 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 number of documents in the `FileSearchStore` that are being processed.
- /// 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`.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// + /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// Included only in responses + /// + /// + /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( + string? displayName, string? updateTime, string? name, + string? activeDocumentsCount, string? failedDocumentsCount, - string? createTime, - string? displayName, string? embeddingModel, - string? pendingDocumentsCount, string? sizeBytes, - string? activeDocumentsCount) + string? createTime, + string? pendingDocumentsCount) { + this.DisplayName = displayName; this.UpdateTime = updateTime; this.Name = name; + this.ActiveDocumentsCount = activeDocumentsCount; this.FailedDocumentsCount = failedDocumentsCount; - this.CreateTime = createTime; - this.DisplayName = displayName; this.EmbeddingModel = embeddingModel; - this.PendingDocumentsCount = pendingDocumentsCount; this.SizeBytes = sizeBytes; - this.ActiveDocumentsCount = activeDocumentsCount; + this.CreateTime = createTime; + this.PendingDocumentsCount = pendingDocumentsCount; } /// 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 f039747f..aeca76b6 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 @@ -14,18 +14,18 @@ public sealed partial class FunctionCall [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } - /// - /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Optional. The function parameters and values in JSON object format. /// [global::System.Text.Json.Serialization.JsonPropertyName("args")] public object? Args { get; set; } + /// + /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ 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. /// - /// - /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. - /// /// /// 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`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( string? name, - string? id, - object? args) + object? args, + string? id) { this.Name = name; - this.Id = id; this.Args = args; + this.Id = id; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs index 7f933512..a03827d5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FunctionCallingConfig { - /// - /// 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("allowedFunctionNames")] - public global::System.Collections.Generic.IList? AllowedFunctionNames { get; set; } - /// /// Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO. /// @@ -21,6 +15,12 @@ public sealed partial class FunctionCallingConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter))] public global::Google.Gemini.FunctionCallingConfigMode? Mode { get; set; } + /// + /// 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("allowedFunctionNames")] + public global::System.Collections.Generic.IList? AllowedFunctionNames { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class FunctionCallingConfig /// /// Initializes a new instance of the class. /// - /// - /// 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. - /// /// /// Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO. /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCallingConfig( - global::System.Collections.Generic.IList? allowedFunctionNames, - global::Google.Gemini.FunctionCallingConfigMode? mode) + global::Google.Gemini.FunctionCallingConfigMode? mode, + global::System.Collections.Generic.IList? allowedFunctionNames) { - this.AllowedFunctionNames = allowedFunctionNames; this.Mode = mode; + this.AllowedFunctionNames = allowedFunctionNames; } /// 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 4cb17689..e2ac4d2d 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 +9,23 @@ namespace Google.Gemini public sealed partial class FunctionDeclaration { /// - /// 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. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] - public global::Google.Gemini.Schema? Parameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("behavior")] + [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). + /// 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("response")] - public global::Google.Gemini.Schema? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { 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`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// /// Required. A brief description of the function. @@ -27,17 +34,16 @@ public sealed partial class FunctionDeclaration public string? Description { get; set; } /// - /// 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). /// - [global::System.Text.Json.Serialization.JsonPropertyName("behavior")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter))] - public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] + public global::Google.Gemini.Schema? Parameters { 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. + /// 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("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.Schema? Response { 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`. @@ -45,12 +51,6 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] public object? ParametersJsonSchema { 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`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { 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. /// - /// - /// 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. 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). + /// + /// 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 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`. /// /// /// Required. A brief description of the function. /// - /// - /// 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). /// - /// - /// 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. + /// + /// 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 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`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( - global::Google.Gemini.Schema? parameters, - global::Google.Gemini.Schema? response, - string? description, global::Google.Gemini.FunctionDeclarationBehavior? behavior, string? name, - object? parametersJsonSchema, - object? responseJsonSchema) + object? responseJsonSchema, + string? description, + global::Google.Gemini.Schema? parameters, + global::Google.Gemini.Schema? response, + object? parametersJsonSchema) { - this.Parameters = parameters; - this.Response = response; - this.Description = description; this.Behavior = behavior; this.Name = name; - this.ParametersJsonSchema = parametersJsonSchema; this.ResponseJsonSchema = responseJsonSchema; + this.Description = description; + this.Parameters = parameters; + this.Response = response; + 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 bface502..b7fad932 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 @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class FunctionResponse { /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. + /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } /// - /// 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`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parts")] - public global::System.Collections.Generic.IList? Parts { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] + public bool? WillContinue { 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. @@ -28,22 +28,22 @@ public sealed partial class FunctionResponse public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } /// - /// 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. + /// 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("response")] - public object? Response { get; set; } + [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`. + /// 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("willContinue")] - public bool? WillContinue { get; set; } + [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. + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parts")] + public global::System.Collections.Generic.IList? Parts { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -54,41 +54,41 @@ public sealed partial class FunctionResponse /// /// Initializes a new instance of the class. /// - /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. - /// - /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. - /// - /// - /// 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. - /// /// /// 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. /// /// /// 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. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. + /// /// /// 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`. + /// + /// + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( - string? id, - global::System.Collections.Generic.IList? parts, - global::Google.Gemini.FunctionResponseScheduling? scheduling, object? response, bool? willContinue, - string? name) + global::Google.Gemini.FunctionResponseScheduling? scheduling, + string? name, + string? id, + global::System.Collections.Generic.IList? parts) { - this.Id = id; - this.Parts = parts; - this.Scheduling = scheduling; this.Response = response; this.WillContinue = willContinue; + this.Scheduling = scheduling; this.Name = name; + this.Id = id; + this.Parts = parts; } /// 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 01e2d5c9..895a2b15 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 @@ -9,18 +9,16 @@ namespace Google.Gemini public sealed partial class GenerateContentBatch { /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.BatchStats? BatchStats { get; set; } /// /// Output only. The time at which the batch was created.
@@ -29,6 +27,14 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { get; set; } + /// + /// Output only. The state of the batch.
+ /// 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; } + /// /// Output only. The time at which the batch processing completed.
/// Included only in responses @@ -43,36 +49,30 @@ public sealed partial class GenerateContentBatch public string? DisplayName { get; set; } /// - /// Configures the input to the batch request. + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Output only. The state of the batch.
+ /// Output only. The time at which the batch was last updated.
/// 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; } - - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { 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 `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// 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("name")] + public string? Name { get; set; } /// - /// Stats about the batch. + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.BatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputConfig? InputConfig { 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. @@ -89,18 +89,20 @@ public sealed partial class GenerateContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses + /// + /// 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 was last updated.
- /// Included only in responses + /// + /// Stats about the batch. /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// + /// + /// Output only. The state of the batch.
+ /// Included only in responses + /// /// /// Output only. The time at which the batch processing completed.
/// Included only in responses @@ -108,21 +110,19 @@ public sealed partial class GenerateContentBatch /// /// Required. The user-defined name of this batch. /// - /// - /// Configures the input to the batch request. - /// - /// - /// Output only. The state of the batch.
- /// Included only in responses - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// 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 was last updated.
+ /// Included only in responses /// - /// - /// Stats about the batch. + /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses + /// + /// + /// Configures the input to the batch request. /// /// /// 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. @@ -131,28 +131,28 @@ public sealed partial class GenerateContentBatch [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( - string? name, - string? updateTime, + global::Google.Gemini.GenerateContentBatchOutput? output, + global::Google.Gemini.BatchStats? batchStats, string? createTime, + global::Google.Gemini.GenerateContentBatchState? state, string? endTime, string? displayName, - global::Google.Gemini.InputConfig? inputConfig, - global::Google.Gemini.GenerateContentBatchState? state, string? model, - global::Google.Gemini.GenerateContentBatchOutput? output, - global::Google.Gemini.BatchStats? batchStats, + string? updateTime, + string? name, + global::Google.Gemini.InputConfig? inputConfig, string? priority) { - this.Name = name; - this.UpdateTime = updateTime; + this.Output = output; + this.BatchStats = batchStats; this.CreateTime = createTime; + this.State = state; this.EndTime = endTime; this.DisplayName = displayName; - this.InputConfig = inputConfig; - this.State = state; this.Model = model; - this.Output = output; - this.BatchStats = batchStats; + this.UpdateTime = updateTime; + this.Name = name; + this.InputConfig = inputConfig; this.Priority = priority; } 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 5794fcc5..0f4639c6 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 +9,22 @@ namespace Google.Gemini public sealed partial class GenerateContentRequest { /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { 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. @@ -20,6 +32,12 @@ public sealed partial class GenerateContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("store")] public bool? Store { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] + public global::System.Collections.Generic.IList? SafetySettings { get; set; } + /// /// Optional. The service tier of the request. /// @@ -34,16 +52,16 @@ public sealed partial class GenerateContentRequest public global::Google.Gemini.Content? SystemInstruction { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// 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("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { 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. + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] - public global::System.Collections.Generic.IList? SafetySettings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { 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}` @@ -51,24 +69,6 @@ public sealed partial class GenerateContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] public string? CachedContent { 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { 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. 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("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -78,61 +78,61 @@ public sealed partial class GenerateContentRequest /// /// Initializes a new instance of the class. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// 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. + /// + /// + /// 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. /// + /// + /// 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. + /// /// /// Optional. The service tier of 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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. /// - /// - /// 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. + /// + /// 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}` /// - /// - /// 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. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// 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. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( - global::Google.Gemini.ToolConfig? toolConfig, - bool? store, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, - global::Google.Gemini.Content? systemInstruction, string? model, - global::System.Collections.Generic.IList? safetySettings, - string? cachedContent, global::System.Collections.Generic.IList? contents, global::Google.Gemini.GenerationConfig? generationConfig, - global::System.Collections.Generic.IList? tools) + bool? store, + global::System.Collections.Generic.IList? safetySettings, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, + global::Google.Gemini.Content? systemInstruction, + global::System.Collections.Generic.IList? tools, + global::Google.Gemini.ToolConfig? toolConfig, + string? cachedContent) { - this.ToolConfig = toolConfig; - this.Store = store; - this.ServiceTier = serviceTier; - this.SystemInstruction = systemInstruction; this.Model = model; - this.SafetySettings = safetySettings; - this.CachedContent = cachedContent; this.Contents = contents; this.GenerationConfig = generationConfig; + this.Store = store; + this.SafetySettings = safetySettings; + this.ServiceTier = serviceTier; + this.SystemInstruction = systemInstruction; this.Tools = tools; + this.ToolConfig = toolConfig; + this.CachedContent = cachedContent; } /// 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 ebd92ca2..ae859228 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 @@ -9,16 +9,17 @@ namespace Google.Gemini public sealed partial class GenerateContentResponse { /// - /// Metadata on the generation request's token usage. + /// Output only. The model version used to generate the response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] + public string? ModelVersion { get; set; } /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] - public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] + public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } /// /// Candidate responses from the model. @@ -27,24 +28,23 @@ public sealed partial class GenerateContentResponse public global::System.Collections.Generic.IList? Candidates { get; set; } /// - /// Output only. response_id is used to identify each response.
- /// Included only in responses + /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] - public string? ResponseId { get; set; } + [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 + /// 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. + /// Output only. response_id is used to identify each response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] - public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] + public string? ResponseId { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -55,43 +55,43 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// - /// - /// Metadata on the generation request's token usage. + /// + /// Output only. The model version used to generate the response.
+ /// Included only in responses /// - /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// /// /// Candidate responses from the model. /// + /// + /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// + /// + /// Metadata on the generation request's token usage. + /// /// /// Output only. response_id is used to identify each response.
/// Included only in responses /// - /// - /// Output only. The model version used to generate the response.
- /// Included only in responses - /// - /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( - global::Google.Gemini.UsageMetadata? usageMetadata, - global::Google.Gemini.PromptFeedback? promptFeedback, - global::System.Collections.Generic.IList? candidates, - string? responseId, string? modelVersion, - global::Google.Gemini.ModelStatus? modelStatus) + global::Google.Gemini.ModelStatus? modelStatus, + global::System.Collections.Generic.IList? candidates, + global::Google.Gemini.PromptFeedback? promptFeedback, + global::Google.Gemini.UsageMetadata? usageMetadata, + string? responseId) { - this.UsageMetadata = usageMetadata; - this.PromptFeedback = promptFeedback; - this.Candidates = candidates; - this.ResponseId = responseId; this.ModelVersion = modelVersion; this.ModelStatus = modelStatus; + this.Candidates = candidates; + this.PromptFeedback = promptFeedback; + this.UsageMetadata = usageMetadata; + 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..6b77252c 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 @@ -8,12 +8,6 @@ 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. /// @@ -34,6 +28,12 @@ public sealed partial class GeneratedFile [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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -43,9 +43,6 @@ 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. /// @@ -56,19 +53,22 @@ public sealed partial class 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` + /// #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) { - this.Name = name; this.MimeType = mimeType; this.State = state; this.Error = error; + this.Name = name; } /// 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 1ceebc03..63d64b79 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 @@ -9,35 +9,34 @@ namespace Google.Gemini public sealed partial class GenerationConfig { /// - /// 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. + /// 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("presencePenalty")] - public float? PresencePenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseFormat")] + public global::Google.Gemini.ResponseFormatConfig? ResponseFormat { get; set; } /// - /// Optional. If specified, the media resolution specified will be used. + /// 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("mediaResolution")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] - public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] + public global::System.Collections.Generic.IList? StopSequences { get; set; } /// - /// Optional. If true, export the logprobs results in response. + /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] - public bool? ResponseLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { 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. 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("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] + public string? ResponseMimeType { get; set; } /// - /// Config for translation features. + /// Config for image generation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("translationConfig")] - public global::Google.Gemini.TranslationConfig? TranslationConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } /// /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. @@ -45,18 +44,6 @@ public sealed partial class GenerationConfig [global::System.Text.Json.Serialization.JsonPropertyName("seed")] public int? Seed { get; set; } - /// - /// Config for thinking features. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] - public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } - - /// - /// Config for speech generation and transcription. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { 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. /// @@ -64,40 +51,35 @@ public sealed partial class GenerationConfig public int? MaxOutputTokens { 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] - public string? ResponseMimeType { 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. + /// Config for translation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("translationConfig")] + public global::Google.Gemini.TranslationConfig? TranslationConfig { 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]. + /// 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("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] + public global::Google.Gemini.Schema? ResponseSchema { 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. An internal detail. Use `responseJsonSchema` rather than this field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] - public int? CandidateCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { 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]. + /// Optional. If specified, the media resolution specified will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mediaResolution")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] + public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } /// - /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseFormat")] - public global::Google.Gemini.ResponseFormatConfig? ResponseFormat { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] + public bool? EnableEnhancedCivicAnswers { 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. @@ -106,22 +88,22 @@ public sealed partial class GenerationConfig public float? TopP { 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; } /// - /// 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. 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("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// 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("enableEnhancedCivicAnswers")] - public bool? EnableEnhancedCivicAnswers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] + public float? PresencePenalty { get; set; } /// /// 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. @@ -130,16 +112,34 @@ public sealed partial class GenerationConfig public float? FrequencyPenalty { get; set; } /// - /// Config for image generation features. + /// Config for thinking features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] + public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// 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("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] + public int? CandidateCount { 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]. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } + + /// + /// Optional. If true, export the logprobs results in response. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] + public bool? ResponseLogprobs { get; set; } + + /// + /// Config for speech generation and transcription. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -150,121 +150,121 @@ public sealed partial class GenerationConfig /// /// Initializes a new instance of the class. /// - /// - /// 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. + /// + /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. /// - /// - /// Optional. If specified, the media resolution specified will be used. + /// + /// 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. If true, export the logprobs results in response. + /// + /// 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. 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. 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. /// - /// - /// Config for translation features. + /// + /// Config for image generation features. /// /// /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - /// - /// Config for thinking features. - /// - /// - /// Config for speech generation and transcription. - /// /// /// 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. 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. 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. + /// + /// Config for translation 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]. + /// + /// 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. 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. An internal detail. Use `responseJsonSchema` rather than this field. /// - /// - /// 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. If specified, the media resolution specified will be used. /// - /// - /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. + /// + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// /// /// 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 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. /// - /// - /// 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. 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. Enables enhanced civic answers. It may not be available for all models. + /// + /// 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. 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. + /// + /// Config for thinking features. /// - /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// + /// 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. 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. If true, export the logprobs results in response. + /// + /// + /// Config for speech generation and transcription. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - float? presencePenalty, - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, - bool? responseLogprobs, - global::System.Collections.Generic.IList? responseModalities, - global::Google.Gemini.TranslationConfig? translationConfig, - int? seed, - global::Google.Gemini.ThinkingConfig? thinkingConfig, - global::Google.Gemini.SpeechConfig? speechConfig, - int? maxOutputTokens, - string? responseMimeType, - int? topK, - float? temperature, - int? candidateCount, - int? logprobs, global::Google.Gemini.ResponseFormatConfig? responseFormat, - float? topP, global::System.Collections.Generic.IList? stopSequences, + int? topK, + string? responseMimeType, + global::Google.Gemini.ImageConfig? imageConfig, + int? seed, + int? maxOutputTokens, + global::Google.Gemini.TranslationConfig? translationConfig, global::Google.Gemini.Schema? responseSchema, + object? responseJsonSchema, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, bool? enableEnhancedCivicAnswers, + float? topP, + global::System.Collections.Generic.IList? responseModalities, + float? temperature, + float? presencePenalty, float? frequencyPenalty, - global::Google.Gemini.ImageConfig? imageConfig, - object? responseJsonSchema) + global::Google.Gemini.ThinkingConfig? thinkingConfig, + int? candidateCount, + int? logprobs, + bool? responseLogprobs, + global::Google.Gemini.SpeechConfig? speechConfig) { - this.PresencePenalty = presencePenalty; - this.MediaResolution = mediaResolution; - this.ResponseLogprobs = responseLogprobs; - this.ResponseModalities = responseModalities; - this.TranslationConfig = translationConfig; - this.Seed = seed; - this.ThinkingConfig = thinkingConfig; - this.SpeechConfig = speechConfig; - this.MaxOutputTokens = maxOutputTokens; - this.ResponseMimeType = responseMimeType; - this.TopK = topK; - this.Temperature = temperature; - this.CandidateCount = candidateCount; - this.Logprobs = logprobs; this.ResponseFormat = responseFormat; - this.TopP = topP; this.StopSequences = stopSequences; + this.TopK = topK; + this.ResponseMimeType = responseMimeType; + this.ImageConfig = imageConfig; + this.Seed = seed; + this.MaxOutputTokens = maxOutputTokens; + this.TranslationConfig = translationConfig; this.ResponseSchema = responseSchema; + this.ResponseJsonSchema = responseJsonSchema; + this.MediaResolution = mediaResolution; this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; + this.TopP = topP; + this.ResponseModalities = responseModalities; + this.Temperature = temperature; + this.PresencePenalty = presencePenalty; this.FrequencyPenalty = frequencyPenalty; - this.ImageConfig = imageConfig; - this.ResponseJsonSchema = responseJsonSchema; + this.ThinkingConfig = thinkingConfig; + this.CandidateCount = candidateCount; + this.Logprobs = logprobs; + this.ResponseLogprobs = responseLogprobs; + this.SpeechConfig = speechConfig; } /// 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 1fd716a3..10048093 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 @@ -9,11 +9,10 @@ namespace Google.Gemini 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. 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). /// - [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] - public global::System.Collections.Generic.IList? RenderedParts { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] + public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } /// /// Segment of the content. @@ -21,18 +20,19 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("segment")] public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { get; set; } - /// - /// 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). - /// - [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; } + /// + /// 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 + /// + [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] + public global::System.Collections.Generic.IList? RenderedParts { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -42,32 +42,32 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Initializes a new instance of the class. /// - /// - /// 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. 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). /// /// /// Segment of the content. /// - /// - /// 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. /// + /// + /// 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 + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( - global::System.Collections.Generic.IList? renderedParts, - global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, global::System.Collections.Generic.IList? groundingChunkIndices, - global::System.Collections.Generic.IList? confidenceScores) + global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, + global::System.Collections.Generic.IList? confidenceScores, + global::System.Collections.Generic.IList? renderedParts) { - this.RenderedParts = renderedParts; - this.Segment = segment; this.GroundingChunkIndices = groundingChunkIndices; + this.Segment = segment; this.ConfidenceScores = confidenceScores; + this.RenderedParts = renderedParts; } /// 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 8b47919b..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 @@ -8,30 +8,30 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaSegment { - /// - /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] - public int? EndIndex { 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; } - /// - /// The text corresponding to the segment from the response. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } + + /// + /// The text corresponding to the segment from the response. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// Initializes a new instance of the class. /// - /// - /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. - /// /// /// The index of a Part object within its parent Content object. /// - /// - /// The text corresponding to the segment from the response. - /// /// /// 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. + /// + /// + /// The text corresponding to the segment from the response. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( - int? endIndex, int? partIndex, - string? text, - int? startIndex) + int? startIndex, + int? endIndex, + string? text) { - this.EndIndex = endIndex; this.PartIndex = partIndex; - this.Text = text; this.StartIndex = startIndex; + this.EndIndex = endIndex; + this.Text = text; } /// 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 a5794789..97cd54fa 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class GroundingChunk { - /// - /// Chunk from context retrieved by the file search tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievedContext")] - public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } - /// /// Chunk from the web. /// @@ -21,10 +15,10 @@ public sealed partial class GroundingChunk public global::Google.Gemini.Web? Web { get; set; } /// - /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. + /// Chunk from context retrieved by the file search tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maps")] - public global::Google.Gemini.Maps? Maps { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("retrievedContext")] + public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } /// /// Chunk from image search. @@ -32,6 +26,12 @@ public sealed partial class GroundingChunk [global::System.Text.Json.Serialization.JsonPropertyName("image")] public global::Google.Gemini.Image? Image { get; set; } + /// + /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maps")] + public global::Google.Gemini.Maps? Maps { 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 context retrieved by the file search tool. - /// /// /// 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 image search. /// + /// + /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( - global::Google.Gemini.RetrievedContext? retrievedContext, global::Google.Gemini.Web? web, - global::Google.Gemini.Maps? maps, - global::Google.Gemini.Image? image) + global::Google.Gemini.RetrievedContext? retrievedContext, + global::Google.Gemini.Image? image, + global::Google.Gemini.Maps? maps) { - this.RetrievedContext = retrievedContext; this.Web = web; - this.Maps = maps; + this.RetrievedContext = retrievedContext; this.Image = image; + this.Maps = maps; } /// 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 4b048590..afd9dc2c 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 @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class GroundingMetadata { /// - /// Image search queries used for grounding. + /// List of grounding support. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] - public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] + public global::System.Collections.Generic.IList? GroundingSupports { get; set; } /// - /// Web search queries for the following-up web search. + /// Metadata related to retrieval in the grounding flow. /// - [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] - public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] + public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { 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. @@ -27,28 +27,28 @@ public sealed partial class GroundingMetadata public global::System.Collections.Generic.IList? GroundingChunks { 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. + /// Web search queries for the following-up web search. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] - public string? GoogleMapsWidgetContextToken { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] + public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } /// - /// List of grounding support. + /// Google search entry point. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] - public global::System.Collections.Generic.IList? GroundingSupports { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] + public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } /// - /// Metadata related to retrieval in the grounding flow. + /// Image search queries used for grounding. /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] - public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] + public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } /// - /// Google search entry point. + /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] - public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] + public string? GoogleMapsWidgetContextToken { 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. /// - /// - /// Image search queries used for grounding. - /// - /// - /// Web search queries for the following-up web search. - /// - /// - /// 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. - /// - /// - /// 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. - /// /// /// List of grounding support. /// /// /// 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. + /// + /// + /// Web search queries for the following-up web search. + /// /// /// Google search entry point. /// + /// + /// Image search queries used for grounding. + /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::System.Collections.Generic.IList? imageSearchQueries, - global::System.Collections.Generic.IList? webSearchQueries, - global::System.Collections.Generic.IList? groundingChunks, - string? googleMapsWidgetContextToken, global::System.Collections.Generic.IList? groundingSupports, global::Google.Gemini.RetrievalMetadata? retrievalMetadata, - global::Google.Gemini.SearchEntryPoint? searchEntryPoint) + global::System.Collections.Generic.IList? groundingChunks, + global::System.Collections.Generic.IList? webSearchQueries, + global::Google.Gemini.SearchEntryPoint? searchEntryPoint, + global::System.Collections.Generic.IList? imageSearchQueries, + string? googleMapsWidgetContextToken) { - this.ImageSearchQueries = imageSearchQueries; - this.WebSearchQueries = webSearchQueries; - this.GroundingChunks = groundingChunks; - this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; this.GroundingSupports = groundingSupports; this.RetrievalMetadata = retrievalMetadata; + this.GroundingChunks = groundingChunks; + this.WebSearchQueries = webSearchQueries; this.SearchEntryPoint = searchEntryPoint; + this.ImageSearchQueries = imageSearchQueries; + this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; } /// 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 394e5c8c..379c7e37 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class Hyperparameters { /// - /// 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 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 hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] - public int? BatchSize { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] + public float? LearningRate { 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. @@ -27,10 +21,16 @@ public sealed partial class Hyperparameters public int? EpochCount { get; set; } /// - /// 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. + /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] - public float? LearningRate { get; set; } + [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 @@ -41,31 +41,31 @@ public sealed partial class Hyperparameters /// /// Initializes a new instance of the class. /// - /// - /// 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 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 hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// /// /// 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. /// - /// - /// 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. + /// + /// 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? learningRateMultiplier, - int? batchSize, + float? learningRate, int? epochCount, - float? learningRate) + int? batchSize, + float? learningRateMultiplier) { - this.LearningRateMultiplier = learningRateMultiplier; - this.BatchSize = batchSize; - this.EpochCount = epochCount; this.LearningRate = learningRate; + 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 9cc66053..658fd788 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 @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Image { - /// - /// The image asset URL. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] - public string? ImageUri { get; set; } - /// /// The web page URI for attribution. /// [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] public string? SourceUri { get; set; } + /// + /// The image asset URL. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] + public string? ImageUri { get; set; } + /// /// The title of the web page that the image is from. /// @@ -41,12 +41,12 @@ public sealed partial class Image /// /// Initializes a new instance of the class. /// - /// - /// The image asset URL. - /// /// /// The web page URI for attribution. /// + /// + /// The image asset URL. + /// /// /// The title of the web page that the image is from. /// @@ -57,13 +57,13 @@ public sealed partial class Image [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( - string? imageUri, string? sourceUri, + string? imageUri, string? title, string? domain) { - this.ImageUri = imageUri; this.SourceUri = sourceUri; + this.ImageUri = imageUri; this.Title = title; this.Domain = domain; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs index a4122a06..e98aec4e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ImageConfig { - /// - /// 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("aspectRatio")] - public string? AspectRatio { get; set; } - /// /// Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`. /// [global::System.Text.Json.Serialization.JsonPropertyName("imageSize")] public string? ImageSize { get; set; } + /// + /// 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("aspectRatio")] + public string? AspectRatio { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ImageConfig /// /// Initializes a new instance of the class. /// - /// - /// 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. - /// /// /// Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`. /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImageConfig( - string? aspectRatio, - string? imageSize) + string? imageSize, + string? aspectRatio) { - this.AspectRatio = aspectRatio; this.ImageSize = imageSize; + this.AspectRatio = aspectRatio; } /// 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 b447a568..13ed70e9 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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class ImageResponseFormat { - /// - /// Optional. The aspect ratio for 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; } - /// /// Optional. The size of the image output. /// @@ -23,11 +16,11 @@ public sealed partial class ImageResponseFormat public global::Google.Gemini.ImageResponseFormatImageSize? ImageSize { get; set; } /// - /// Optional. The delivery mode for the image output. + /// Optional. The aspect ratio for the image output. /// - [global::System.Text.Json.Serialization.JsonPropertyName("delivery")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter))] - public global::Google.Gemini.ImageResponseFormatDelivery? Delivery { 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. @@ -36,6 +29,13 @@ public sealed partial class ImageResponseFormat [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter))] public global::Google.Gemini.ImageResponseFormatMimeType? MimeType { get; set; } + /// + /// Optional. The delivery mode for the image output. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("delivery")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter))] + public global::Google.Gemini.ImageResponseFormatDelivery? Delivery { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -45,31 +45,31 @@ public sealed partial class ImageResponseFormat /// /// Initializes a new instance of the class. /// - /// - /// Optional. The aspect ratio for the image output. - /// /// /// Optional. The size of the image output. /// - /// - /// Optional. The delivery mode for the image output. + /// + /// Optional. The aspect ratio for the image output. /// /// /// Optional. The MIME type of the image output. /// + /// + /// Optional. The delivery mode for the image output. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImageResponseFormat( - global::Google.Gemini.ImageResponseFormatAspectRatio? aspectRatio, global::Google.Gemini.ImageResponseFormatImageSize? imageSize, - global::Google.Gemini.ImageResponseFormatDelivery? delivery, - global::Google.Gemini.ImageResponseFormatMimeType? mimeType) + global::Google.Gemini.ImageResponseFormatAspectRatio? aspectRatio, + global::Google.Gemini.ImageResponseFormatMimeType? mimeType, + global::Google.Gemini.ImageResponseFormatDelivery? delivery) { - this.AspectRatio = aspectRatio; this.ImageSize = imageSize; - this.Delivery = delivery; + this.AspectRatio = aspectRatio; this.MimeType = mimeType; + this.Delivery = delivery; } /// 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.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 5ce34e69..afe10fd0 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. 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; } + /// + /// 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; } + /// /// 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. 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. /// + /// + /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Interval( - string? startTime, - string? endTime) + string? endTime, + string? startTime) { - this.StartTime = startTime; this.EndTime = endTime; + this.StartTime = startTime; } /// 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.ListCorporaResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs index 6a5dbdc2..7bff6270 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListCorporaResponse { - /// - /// The returned corpora. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("corpora")] - public global::System.Collections.Generic.IList? Corpora { 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; } + /// + /// The returned corpora. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("corpora")] + public global::System.Collections.Generic.IList? Corpora { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListCorporaResponse /// /// Initializes a new instance of the class. /// - /// - /// The returned corpora. - /// /// /// 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 corpora. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListCorporaResponse( - global::System.Collections.Generic.IList? corpora, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? corpora) { - this.Corpora = corpora; this.NextPageToken = nextPageToken; + this.Corpora = corpora; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs index 31720695..56d16d70 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFilesResponse { - /// - /// The list of `File`s. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("files")] - public global::System.Collections.Generic.IList? Files { get; set; } - /// /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// The list of `File`s. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("files")] + public global::System.Collections.Generic.IList? Files { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListFilesResponse /// /// Initializes a new instance of the class. /// - /// - /// The list of `File`s. - /// /// /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. /// + /// + /// The list of `File`s. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFilesResponse( - global::System.Collections.Generic.IList? files, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? files) { - this.Files = files; this.NextPageToken = nextPageToken; + this.Files = files; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs index 76ed7050..d4af5350 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListModelsResponse { - /// - /// The returned Models. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("models")] - public global::System.Collections.Generic.IList? Models { 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; } + /// + /// The returned Models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("models")] + public global::System.Collections.Generic.IList? Models { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListModelsResponse /// /// Initializes a new instance of the class. /// - /// - /// 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. /// + /// + /// The returned Models. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListModelsResponse( - global::System.Collections.Generic.IList? models, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? models) { - this.Models = models; this.NextPageToken = nextPageToken; + this.Models = models; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs index b6386440..395682f1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListOperationsResponse { - /// - /// A list of operations that matches the specified filter in the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("operations")] - public global::System.Collections.Generic.IList? Operations { get; set; } - /// /// The standard List next-page token. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// A list of operations that matches the specified filter in the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("operations")] + public global::System.Collections.Generic.IList? Operations { get; set; } + /// /// 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. /// @@ -35,12 +35,12 @@ public sealed partial class ListOperationsResponse /// /// Initializes a new instance of the class. /// - /// - /// A list of operations that matches the specified filter in the request. - /// /// /// The standard List next-page token. /// + /// + /// A list of operations that matches the specified filter in the request. + /// /// /// 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. /// @@ -48,12 +48,12 @@ public sealed partial class ListOperationsResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( - global::System.Collections.Generic.IList? operations, string? nextPageToken, + global::System.Collections.Generic.IList? operations, global::System.Collections.Generic.IList? unreachable) { - this.Operations = operations; this.NextPageToken = nextPageToken; + this.Operations = operations; this.Unreachable = unreachable; } 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 8befbd8f..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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class LogprobsResult { - /// - /// Sum of log probabilities for all tokens. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("logProbabilitySum")] - public float? LogProbabilitySum { get; set; } - /// /// Length = total number of decoding steps. /// @@ -26,6 +20,12 @@ public sealed partial class LogprobsResult [global::System.Text.Json.Serialization.JsonPropertyName("chosenCandidates")] public global::System.Collections.Generic.IList? ChosenCandidates { get; set; } + /// + /// Sum of log probabilities for all tokens. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("logProbabilitySum")] + public float? LogProbabilitySum { 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. /// - /// - /// Sum of log probabilities for all tokens. - /// /// /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResult( - float? logProbabilitySum, global::System.Collections.Generic.IList? topCandidates, - global::System.Collections.Generic.IList? chosenCandidates) + global::System.Collections.Generic.IList? chosenCandidates, + float? logProbabilitySum) { - this.LogProbabilitySum = logProbabilitySum; this.TopCandidates = topCandidates; this.ChosenCandidates = chosenCandidates; + this.LogProbabilitySum = logProbabilitySum; } /// 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 6154061d..c4f9fa4f 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class LogprobsResultCandidate { - /// - /// The candidate’s token id value. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] - public int? TokenId { get; set; } - /// /// The candidate's log probability. /// @@ -26,6 +20,12 @@ public sealed partial class LogprobsResultCandidate [global::System.Text.Json.Serialization.JsonPropertyName("token")] public string? Token { get; set; } + /// + /// The candidate’s token id value. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] + public int? TokenId { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class LogprobsResultCandidate /// /// Initializes a new instance of the class. /// - /// - /// The candidate’s token id value. - /// /// /// The candidate's log probability. /// /// /// The candidate’s token string value. /// + /// + /// The candidate’s token id value. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( - int? tokenId, float? logProbability, - string? token) + string? token, + int? tokenId) { - this.TokenId = tokenId; this.LogProbability = logProbability; this.Token = token; + this.TokenId = tokenId; } /// 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 dd4698f7..9f85a259 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 { /// - /// Text description of the place answer. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } - - /// - /// Title of the place. + /// URI reference of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + 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. @@ -33,10 +27,16 @@ public sealed partial class Maps public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } /// - /// URI reference of the place. + /// Text description of the place answer. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } + + /// + /// Title of the place. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,11 +47,8 @@ public sealed partial class Maps /// /// Initializes a new instance of the class. /// - /// - /// Text description of the place answer. - /// - /// - /// Title of the 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. @@ -59,24 +56,27 @@ public sealed partial class Maps /// /// 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. /// - /// - /// URI reference of the place. + /// + /// Text description of the place answer. + /// + /// + /// Title of the place. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( - string? text, - string? title, + string? uri, string? placeId, global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, - string? uri) + string? text, + string? title) { - this.Text = text; - this.Title = title; + this.Uri = uri; this.PlaceId = placeId; this.PlaceAnswerSources = placeAnswerSources; - this.Uri = uri; + this.Text = text; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs index 6a90f2cd..d5bff801 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ModalityTokenCount { - /// - /// Number of tokens. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] - public int? TokenCount { get; set; } - /// /// The modality associated with this token count. /// @@ -21,6 +15,12 @@ public sealed partial class ModalityTokenCount [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter))] public global::Google.Gemini.ModalityTokenCountModality? Modality { get; set; } + /// + /// Number of tokens. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] + public int? TokenCount { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class ModalityTokenCount /// /// Initializes a new instance of the class. /// - /// - /// Number of tokens. - /// /// /// The modality associated with this token count. /// + /// + /// Number of tokens. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModalityTokenCount( - int? tokenCount, - global::Google.Gemini.ModalityTokenCountModality? modality) + global::Google.Gemini.ModalityTokenCountModality? modality, + int? tokenCount) { - this.TokenCount = tokenCount; this.Modality = modality; + this.TokenCount = tokenCount; } /// 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 c1c30ec7..8ed7c2ca 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Model { - /// - /// Maximum number of input tokens allowed for this model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } - /// /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// @@ -21,10 +15,10 @@ public sealed partial class Model public string? BaseModelId { get; set; } /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// Whether the model supports thinking. /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] + public bool? Thinking { get; set; } /// /// Maximum number of output tokens available for this model. @@ -33,10 +27,10 @@ public sealed partial class Model public int? OutputTokenLimit { get; set; } /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// 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("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// A short description of the model. @@ -44,24 +38,12 @@ public sealed partial class Model [global::System.Text.Json.Serialization.JsonPropertyName("description")] public string? Description { 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } - /// /// 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; } - /// - /// 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("temperature")] - public float? Temperature { 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` /// @@ -69,16 +51,10 @@ public sealed partial class Model public string? Name { get; set; } /// - /// Whether the model supports thinking. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] - public bool? Thinking { 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. + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { get; set; } /// /// The maximum temperature this model can use. @@ -86,6 +62,30 @@ public sealed partial class Model [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] public float? MaxTemperature { get; set; } + /// + /// Maximum number of input tokens allowed for this model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] + public int? InputTokenLimit { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } + + /// + /// 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("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { 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. /// - /// - /// Maximum number of input tokens allowed for this model. - /// /// /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// + /// Whether the model supports thinking. /// /// /// Maximum number of output tokens available 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`. + /// + /// 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. /// /// /// A short description of the model. /// - /// - /// 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. - /// /// /// 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. /// - /// - /// 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` /// - /// - /// Whether the model supports thinking. - /// - /// - /// 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`) /// /// /// The maximum temperature this model can use. /// + /// + /// Maximum number of input tokens allowed for this model. + /// + /// + /// 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. + /// + /// + /// 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. + /// + /// + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - int? inputTokenLimit, string? baseModelId, - string? version, + bool? thinking, int? outputTokenLimit, - global::System.Collections.Generic.IList? supportedGenerationMethods, + string? displayName, string? description, - float? topP, int? topK, - float? temperature, string? name, - bool? thinking, - string? displayName, - float? maxTemperature) + string? version, + float? maxTemperature, + int? inputTokenLimit, + float? topP, + float? temperature, + global::System.Collections.Generic.IList? supportedGenerationMethods) { - this.InputTokenLimit = inputTokenLimit; this.BaseModelId = baseModelId; - this.Version = version; + this.Thinking = thinking; this.OutputTokenLimit = outputTokenLimit; - this.SupportedGenerationMethods = supportedGenerationMethods; + this.DisplayName = displayName; this.Description = description; - this.TopP = topP; this.TopK = topK; - this.Temperature = temperature; this.Name = name; - this.Thinking = thinking; - this.DisplayName = displayName; + this.Version = version; this.MaxTemperature = maxTemperature; + this.InputTokenLimit = inputTokenLimit; + this.TopP = topP; + this.Temperature = temperature; + this.SupportedGenerationMethods = supportedGenerationMethods; } /// 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 d5fc3303..18d255a5 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ModelStatus { + /// + /// A message explaining the model status. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("message")] + public string? Message { get; set; } + /// /// The time at which the model will be retired. /// @@ -21,12 +27,6 @@ public sealed partial class ModelStatus [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter))] public global::Google.Gemini.ModelStatusModelStage? ModelStage { get; set; } - /// - /// A message explaining the model status. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("message")] - public string? Message { 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. /// + /// + /// A message explaining the model status. + /// /// /// The time at which the model will be retired. /// /// /// The stage of the underlying model. /// - /// - /// A message explaining the model status. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( + string? message, string? retirementTime, - global::Google.Gemini.ModelStatusModelStage? modelStage, - string? message) + global::Google.Gemini.ModelStatusModelStage? modelStage) { + this.Message = message; this.RetirementTime = retirementTime; this.ModelStage = modelStage; - this.Message = message; } /// 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 1ad8351b..33125c1c 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class Operation { /// - /// 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 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("error")] - public global::Google.Gemini.Status? Error { 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`. @@ -33,10 +33,10 @@ public sealed partial class Operation 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. + /// 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("done")] - public bool? Done { get; set; } + [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 @@ -47,8 +47,8 @@ public sealed partial class Operation /// /// Initializes a new instance of the class. /// - /// - /// 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 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 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`. @@ -59,24 +59,24 @@ public sealed partial class Operation /// /// 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( - global::Google.Gemini.Status? error, + bool? done, object? response, string? name, object? metadata, - bool? done) + global::Google.Gemini.Status? error) { - this.Error = error; + this.Done = done; this.Response = response; this.Name = name; this.Metadata = metadata; - this.Done = done; + this.Error = error; } /// 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 d73e754b..48941e29 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 @@ -10,12 +10,6 @@ namespace Google.Gemini /// public sealed partial class Part { - /// - /// 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; } - /// /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// @@ -23,16 +17,22 @@ public sealed partial class Part public byte[]? ThoughtSignature { get; set; } /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// 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("inlineData")] - public global::Google.Gemini.Blob? InlineData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] + public object? PartMetadata { get; set; } /// - /// URI based data. + /// Inline text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] - public global::Google.Gemini.FileData? FileData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } + + /// + /// 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("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } /// /// Optional. Indicates if the part is thought from the model. @@ -40,6 +40,12 @@ public sealed partial class Part [global::System.Text.Json.Serialization.JsonPropertyName("thought")] public bool? Thought { 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; } + /// /// 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. /// @@ -47,10 +53,16 @@ public sealed partial class Part public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } /// - /// Inline text. + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] + public global::Google.Gemini.Blob? InlineData { get; set; } + + /// + /// URI based data. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] + public global::Google.Gemini.FileData? FileData { get; set; } /// /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. @@ -59,36 +71,24 @@ public sealed partial class Part [global::System.Obsolete("This property marked as deprecated.")] public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } - /// - /// 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("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] - public object? PartMetadata { get; set; } - /// /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { 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; } - /// /// 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("toolResponse")] public global::Google.Gemini.ToolResponse? ToolResponse { 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 /// @@ -98,71 +98,71 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// - /// - /// 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. - /// /// /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// + /// 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. /// - /// - /// URI based data. + /// + /// Inline text. + /// + /// + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// /// /// Optional. Indicates if the part is thought from the model. /// + /// + /// 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. + /// /// /// 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. /// - /// - /// Inline text. - /// - /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - /// - /// 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. + /// + /// URI based data. /// /// /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - /// - /// 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`. /// + /// + /// 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( - global::Google.Gemini.ExecutableCode? executableCode, byte[]? thoughtSignature, - global::Google.Gemini.Blob? inlineData, - global::Google.Gemini.FileData? fileData, - bool? thought, - global::Google.Gemini.FunctionResponse? functionResponse, + object? partMetadata, string? text, global::Google.Gemini.FunctionCall? functionCall, - object? partMetadata, + bool? thought, + global::Google.Gemini.ExecutableCode? executableCode, + global::Google.Gemini.FunctionResponse? functionResponse, + global::Google.Gemini.Blob? inlineData, + global::Google.Gemini.FileData? fileData, global::Google.Gemini.CodeExecutionResult? codeExecutionResult, - global::Google.Gemini.ToolCall? toolCall, - global::Google.Gemini.ToolResponse? toolResponse) + global::Google.Gemini.ToolResponse? toolResponse, + global::Google.Gemini.ToolCall? toolCall) { - this.ExecutableCode = executableCode; this.ThoughtSignature = thoughtSignature; - this.InlineData = inlineData; - this.FileData = fileData; - this.Thought = thought; - this.FunctionResponse = functionResponse; + this.PartMetadata = partMetadata; this.Text = text; this.FunctionCall = functionCall; - this.PartMetadata = partMetadata; + this.Thought = thought; + this.ExecutableCode = executableCode; + this.FunctionResponse = functionResponse; + this.InlineData = inlineData; + this.FileData = fileData; this.CodeExecutionResult = codeExecutionResult; - this.ToolCall = toolCall; this.ToolResponse = toolResponse; + 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 1d16780a..6b2d9560 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 @@ -8,6 +8,19 @@ 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] + public string? EmailAddress { get; set; } + /// /// Required. The role granted by this permission. /// @@ -22,19 +35,6 @@ public sealed partial class Permission [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter))] public global::Google.Gemini.PermissionGranteeType? GranteeType { 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; } - - /// - /// 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; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,32 +44,32 @@ public sealed partial class Permission /// /// Initializes a new instance of the class. /// + /// + /// 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 + /// + /// + /// 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. /// - /// - /// 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. - /// - /// - /// 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 - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( - global::Google.Gemini.PermissionRole? role, - global::Google.Gemini.PermissionGranteeType? granteeType, + string? name, string? emailAddress, - string? name) + global::Google.Gemini.PermissionRole? role, + global::Google.Gemini.PermissionGranteeType? granteeType) { + this.Name = name; + this.EmailAddress = emailAddress; this.Role = role; this.GranteeType = granteeType; - this.EmailAddress = emailAddress; - this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs index fccaca72..08e93e4a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class PromptFeedback { - /// - /// Ratings for safety of the prompt. There is at most one rating per category. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } - /// /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. /// @@ -21,6 +15,12 @@ public sealed partial class PromptFeedback [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter))] public global::Google.Gemini.PromptFeedbackBlockReason? BlockReason { get; set; } + /// + /// Ratings for safety of the prompt. There is at most one rating per category. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class PromptFeedback /// /// Initializes a new instance of the class. /// - /// - /// Ratings for safety of the prompt. There is at most one rating per category. - /// /// /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. /// + /// + /// Ratings for safety of the prompt. There is at most one rating per category. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public PromptFeedback( - global::System.Collections.Generic.IList? safetyRatings, - global::Google.Gemini.PromptFeedbackBlockReason? blockReason) + global::Google.Gemini.PromptFeedbackBlockReason? blockReason, + global::System.Collections.Generic.IList? safetyRatings) { - this.SafetyRatings = safetyRatings; this.BlockReason = blockReason; + this.SafetyRatings = safetyRatings; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs index 10e07f1c..587cc51b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class RetrievalConfig { - /// - /// 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("latLng")] - public global::Google.Gemini.LatLng? LatLng { get; set; } - /// /// 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). /// [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] public string? LanguageCode { get; set; } + /// + /// 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("latLng")] + public global::Google.Gemini.LatLng? LatLng { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class RetrievalConfig /// /// Initializes a new instance of the class. /// - /// - /// 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. - /// /// /// 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). /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievalConfig( - global::Google.Gemini.LatLng? latLng, - string? languageCode) + string? languageCode, + global::Google.Gemini.LatLng? latLng) { - this.LatLng = latLng; this.LanguageCode = languageCode; + this.LatLng = latLng; } /// 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 9ac87a15..511f9125 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 @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class RetrievedContext { - /// - /// Optional. User-provided metadata about the retrieved context. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { 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} /// @@ -27,10 +15,16 @@ public sealed partial class RetrievedContext public string? MediaId { get; set; } /// - /// Optional. URI reference of the semantic retrieval document. + /// Optional. Text of the chunk. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } + + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] + public string? FileSearchStore { get; set; } /// /// Optional. Title of the document. @@ -39,16 +33,22 @@ public sealed partial class RetrievedContext public string? Title { get; set; } /// - /// 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. Text of the chunk. + /// Optional. Page number of the retrieved context, if applicable. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] + public int? PageNumber { get; set; } + + /// + /// Optional. User-provided metadata about the retrieved context. + /// + [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 @@ -59,46 +59,46 @@ public sealed partial class RetrievedContext /// /// Initializes a new instance of the class. /// - /// - /// 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} /// - /// - /// Optional. URI reference of the semantic retrieval document. + /// + /// Optional. Text of the chunk. + /// + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// /// /// Optional. Title of the document. /// - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// + /// Optional. URI reference of the semantic retrieval document. /// - /// - /// Optional. Text of the chunk. + /// + /// Optional. Page number of the retrieved context, if applicable. + /// + /// + /// Optional. User-provided metadata about the retrieved context. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( - global::System.Collections.Generic.IList? customMetadata, - int? pageNumber, string? mediaId, - string? uri, - string? title, + string? text, string? fileSearchStore, - string? text) + string? title, + string? uri, + int? pageNumber, + global::System.Collections.Generic.IList? customMetadata) { - this.CustomMetadata = customMetadata; - this.PageNumber = pageNumber; this.MediaId = mediaId; - this.Uri = uri; - this.Title = title; - this.FileSearchStore = fileSearchStore; this.Text = text; + this.FileSearchStore = fileSearchStore; + this.Title = title; + this.Uri = uri; + this.PageNumber = pageNumber; + this.CustomMetadata = customMetadata; } /// 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 7c955ca3..90e5f055 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 category for this rating. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("category")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter))] - public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } - /// /// Was this content blocked because of this rating? /// @@ -28,6 +21,13 @@ public sealed partial class SafetyRating [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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("category")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter))] + public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -37,26 +37,26 @@ public sealed partial class SafetyRating /// /// Initializes a new instance of the class. /// - /// - /// Required. The category for this rating. - /// /// /// Was this content blocked because of this rating? /// /// /// Required. The probability of harm for this content. /// + /// + /// Required. The category for this rating. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( - global::Google.Gemini.SafetyRatingCategory? category, bool? blocked, - global::Google.Gemini.SafetyRatingProbability? probability) + global::Google.Gemini.SafetyRatingProbability? probability, + global::Google.Gemini.SafetyRatingCategory? category) { - this.Category = category; this.Blocked = blocked; this.Probability = probability; + this.Category = category; } /// 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 f5a4bb6f..b3c80012 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 @@ -8,12 +8,24 @@ namespace Google.Gemini /// public sealed partial class Schema { + /// + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// + [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] + public double? Minimum { get; set; } + /// /// Optional. Minimum number of the elements for Type.ARRAY. /// [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] public string? MinItems { 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("items")] + public global::Google.Gemini.Schema? Items { get; set; } + /// /// Optional. Required properties of Type.OBJECT. /// @@ -21,23 +33,22 @@ public sealed partial class Schema public global::System.Collections.Generic.IList? Required { get; set; } /// - /// Optional. The title of the schema. + /// Optional. Maximum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] + public string? MaxProperties { get; set; } /// - /// Required. Data type. + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - [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("anyOf")] + public global::System.Collections.Generic.IList? AnyOf { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] - public double? Minimum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { 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"]} @@ -46,40 +57,41 @@ public sealed partial class Schema public global::System.Collections.Generic.IList? Enum { get; set; } /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// Optional. Maximum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] - public string? MaxItems { get; set; } + [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. + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("format")] - public string? Format { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] + public string? MinLength { get; set; } /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// Optional. The title of the schema. /// - [global::System.Text.Json.Serialization.JsonPropertyName("example")] - public object? Example { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Optional. Maximum length of the Type.STRING + /// Optional. Minimum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { 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). + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("items")] - public global::Google.Gemini.Schema? Items { 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. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// 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("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { get; set; } /// /// Optional. Indicates if the value may be null. @@ -88,34 +100,34 @@ public sealed partial class Schema public bool? Nullable { get; set; } /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// 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("maxProperties")] - public string? MaxProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { 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. + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// Optional. Maximum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] - public string? MinLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + public string? MaxItems { 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. + /// Optional. Example of the object. Will only populated when the object is the root. /// - [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] - public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("example")] + public object? Example { get; set; } /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// Optional. 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("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER @@ -124,22 +136,10 @@ public sealed partial class Schema public double? Maximum { get; set; } /// - /// Optional. Minimum number of the properties for Type.OBJECT. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { get; set; } - - /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] - public string? Pattern { get; set; } - - /// - /// Optional. Properties of Type.OBJECT. + /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] + public global::System.Collections.Generic.IList? PropertyOrdering { 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. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// /// /// Optional. Minimum number of the elements for Type.ARRAY. /// + /// + /// 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. The title of the schema. - /// - /// - /// Required. Data type. - /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER - /// - /// - /// 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 number of the properties for Type.OBJECT. /// - /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// /// /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// + /// 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 /// - /// - /// 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. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// + /// Optional. The title of the schema. /// - /// - /// Optional. Indicates if the value may be null. + /// + /// Optional. Minimum number of the properties for Type.OBJECT. /// - /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// + /// Required. Data type. /// /// /// 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. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING - /// - /// - /// 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. The value should be validated against any (one or more) of the subschemas in the list. - /// - /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// + /// Optional. Indicates if the value may be null. /// - /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// /// /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// + /// + /// Optional. Maximum number of the elements for Type.ARRAY. + /// + /// + /// Optional. Example of the object. Will only populated when the object is the root. + /// /// /// Optional. Properties of Type.OBJECT. /// + /// + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( + double? minimum, string? minItems, + global::Google.Gemini.Schema? items, global::System.Collections.Generic.IList? required, - string? title, - global::Google.Gemini.SchemaType? type, - double? minimum, - global::System.Collections.Generic.IList? @enum, - string? maxItems, + string? maxProperties, + global::System.Collections.Generic.IList? anyOf, string? format, - object? example, + global::System.Collections.Generic.IList? @enum, string? maxLength, - global::Google.Gemini.Schema? items, - string? description, - bool? nullable, - string? maxProperties, - object? @default, string? minLength, - global::System.Collections.Generic.IList? propertyOrdering, - global::System.Collections.Generic.IList? anyOf, - double? maximum, + string? title, string? minProperties, + global::Google.Gemini.SchemaType? type, + object? @default, + bool? nullable, + string? description, string? pattern, - global::System.Collections.Generic.Dictionary? properties) + string? maxItems, + object? example, + global::System.Collections.Generic.Dictionary? properties, + double? maximum, + global::System.Collections.Generic.IList? propertyOrdering) { + this.Minimum = minimum; this.MinItems = minItems; + this.Items = items; this.Required = required; - this.Title = title; - this.Type = type; - this.Minimum = minimum; - this.Enum = @enum; - this.MaxItems = maxItems; + this.MaxProperties = maxProperties; + this.AnyOf = anyOf; this.Format = format; - this.Example = example; + this.Enum = @enum; this.MaxLength = maxLength; - this.Items = items; - this.Description = description; - this.Nullable = nullable; - this.MaxProperties = maxProperties; - this.Default = @default; this.MinLength = minLength; - this.PropertyOrdering = propertyOrdering; - this.AnyOf = anyOf; - this.Maximum = maximum; + this.Title = title; this.MinProperties = minProperties; + this.Type = type; + this.Default = @default; + this.Nullable = nullable; + this.Description = description; this.Pattern = pattern; + this.MaxItems = maxItems; + this.Example = example; this.Properties = properties; + this.Maximum = maximum; + this.PropertyOrdering = propertyOrdering; } /// 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 cc31a307..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 @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SpeechConfig { - /// - /// 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 multi-speaker setup. /// [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { 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. /// @@ -35,12 +35,12 @@ public sealed partial class SpeechConfig /// /// Initializes a new instance of the class. /// - /// - /// 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 multi-speaker setup. /// + /// + /// 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. /// @@ -48,12 +48,12 @@ public sealed partial class SpeechConfig [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( - string? languageCode, global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, + string? languageCode, global::Google.Gemini.VoiceConfig? voiceConfig) { - this.LanguageCode = languageCode; this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; + this.LanguageCode = languageCode; this.VoiceConfig = voiceConfig; } 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 589fdec8..052cb0ae 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class StreamableHttpTransport { - /// - /// 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; } - /// /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" /// @@ -26,6 +20,12 @@ 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; } + /// /// Timeout for SSE read operations. /// @@ -47,15 +47,15 @@ public sealed partial class StreamableHttpTransport /// /// Initializes a new instance of the class. /// - /// - /// Optional: Fields for authentication headers, timeouts, etc., if needed. - /// /// /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" /// /// /// HTTP timeout for regular operations. /// + /// + /// Optional: Fields for authentication headers, timeouts, etc., if needed. + /// /// /// Timeout for SSE read operations. /// @@ -66,15 +66,15 @@ public sealed partial class StreamableHttpTransport [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( - global::System.Collections.Generic.Dictionary? headers, string? url, string? timeout, + global::System.Collections.Generic.Dictionary? headers, string? sseReadTimeout, bool? terminateOnClose) { - this.Headers = headers; this.Url = url; this.Timeout = timeout; + this.Headers = headers; this.SseReadTimeout = sseReadTimeout; this.TerminateOnClose = terminateOnClose; } 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 fe471aeb..f6546f19 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 @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ThinkingConfig { - /// - /// The number of thoughts tokens that the model should generate. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] - public int? ThinkingBudget { get; set; } - /// /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. /// [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. /// @@ -36,12 +36,12 @@ public sealed partial class ThinkingConfig /// /// Initializes a new instance of the class. /// - /// - /// The number of thoughts tokens that the model should generate. - /// /// /// 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. /// @@ -49,12 +49,12 @@ public sealed partial class ThinkingConfig [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ThinkingConfig( - int? thinkingBudget, bool? includeThoughts, + int? thinkingBudget, global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel) { - this.ThinkingBudget = thinkingBudget; this.IncludeThoughts = includeThoughts; + this.ThinkingBudget = thinkingBudget; this.ThinkingLevel = thinkingLevel; } 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 0da6cae2..11f80e0d 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 @@ -15,16 +15,22 @@ public sealed partial class Tool public global::Google.Gemini.CodeExecution? CodeExecution { 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. + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] - public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] + public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } /// - /// Computer Use tool type. + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] - public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] + public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } + + /// + /// Tool to support URL context retrieval. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] + public global::Google.Gemini.UrlContext? UrlContext { get; set; } /// /// Tool to retrieve public web data for grounding, powered by Google. @@ -33,16 +39,16 @@ public sealed partial class Tool public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// 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("googleSearch")] - public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] + public global::Google.Gemini.FileSearch? FileSearch { get; set; } /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// Computer Use tool type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] - public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] + public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } /// /// Optional. MCP Servers to connect to. @@ -51,16 +57,10 @@ public sealed partial class Tool public global::System.Collections.Generic.IList? McpServers { get; set; } /// - /// Tool to support URL context retrieval. - /// - [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. + /// 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("fileSearch")] - public global::Google.Gemini.FileSearch? FileSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] + public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -74,53 +74,53 @@ 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. /// - /// - /// 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. /// - /// - /// Computer Use tool type. + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + /// + /// Tool to support URL context retrieval. /// /// /// Tool to retrieve public web data for grounding, powered by Google. /// - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// + /// Computer Use tool type. /// /// /// Optional. MCP Servers to connect to. /// - /// - /// 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. + /// + /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( global::Google.Gemini.CodeExecution? codeExecution, - global::System.Collections.Generic.IList? functionDeclarations, - global::Google.Gemini.ComputerUse? computerUse, - global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, - global::Google.Gemini.GoogleSearch? googleSearch, global::Google.Gemini.GoogleMaps? googleMaps, - global::System.Collections.Generic.IList? mcpServers, + global::Google.Gemini.GoogleSearch? googleSearch, global::Google.Gemini.UrlContext? urlContext, - global::Google.Gemini.FileSearch? fileSearch) + global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, + global::Google.Gemini.FileSearch? fileSearch, + global::Google.Gemini.ComputerUse? computerUse, + global::System.Collections.Generic.IList? mcpServers, + global::System.Collections.Generic.IList? functionDeclarations) { this.CodeExecution = codeExecution; - this.FunctionDeclarations = functionDeclarations; - this.ComputerUse = computerUse; - this.GoogleSearchRetrieval = googleSearchRetrieval; - this.GoogleSearch = googleSearch; this.GoogleMaps = googleMaps; - this.McpServers = mcpServers; + this.GoogleSearch = googleSearch; this.UrlContext = urlContext; + this.GoogleSearchRetrieval = googleSearchRetrieval; this.FileSearch = fileSearch; + this.ComputerUse = computerUse; + this.McpServers = mcpServers; + this.FunctionDeclarations = functionDeclarations; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs index 6da5f988..5cbd66dc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ToolCall { + /// + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Required. The type of tool that was called. /// @@ -21,12 +27,6 @@ public sealed partial class ToolCall [global::System.Text.Json.Serialization.JsonPropertyName("args")] public object? Args { get; set; } - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ToolCall /// /// Initializes a new instance of the class. /// + /// + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// /// /// Required. The type of tool that was called. /// /// /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} /// - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolCall( + string? id, global::Google.Gemini.ToolCallToolType? toolType, - object? args, - string? id) + object? args) { + this.Id = id; this.ToolType = toolType; this.Args = args; - this.Id = id; } /// 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 247efaa6..5299728a 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 @@ -14,18 +14,18 @@ public sealed partial class ToolConfig [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } - /// - /// Retrieval config. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] - public global::Google.Gemini.RetrievalConfig? RetrievalConfig { 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. /// [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] public bool? IncludeServerSideToolInvocations { get; set; } + /// + /// Retrieval config. + /// + [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 /// @@ -38,23 +38,23 @@ public sealed partial class ToolConfig /// /// Configuration for specifying function calling behavior. /// - /// - /// 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. /// + /// + /// Retrieval config. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, - global::Google.Gemini.RetrievalConfig? retrievalConfig, - bool? includeServerSideToolInvocations) + bool? includeServerSideToolInvocations, + global::Google.Gemini.RetrievalConfig? retrievalConfig) { this.FunctionCallingConfig = functionCallingConfig; - this.RetrievalConfig = retrievalConfig; this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; + this.RetrievalConfig = retrievalConfig; } /// 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 index 9487be42..5586af7c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// 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; } + /// + /// 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class TranslationConfig /// /// 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"). /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TranslationConfig( - bool? echoTargetLanguage, - string? targetLanguageCode) + string? targetLanguageCode, + bool? echoTargetLanguage) { - this.EchoTargetLanguage = echoTargetLanguage; this.TargetLanguageCode = targetLanguageCode; + this.EchoTargetLanguage = echoTargetLanguage; } /// 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 2e14583c..551a7f29 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 @@ -8,6 +8,12 @@ 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. /// @@ -15,36 +21,37 @@ public sealed partial class TunedModel public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } /// - /// Output only. The timestamp when this model was updated.
- /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Optional. A short description of this model. + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] + public string? BaseModel { 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; } /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// Output only. The timestamp when this model was created.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] - public string? BaseModel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. @@ -53,12 +60,16 @@ public sealed partial class TunedModel public string? DisplayName { get; set; } /// - /// Output only. The state of the tuned model.
- /// Included only in responses + /// Optional. A short description of this model. /// - [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("description")] + public string? Description { 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; } /// /// 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`
@@ -68,16 +79,11 @@ public sealed partial class TunedModel public string? Name { 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { 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. + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Tuned model as a source for training a new model. @@ -85,12 +91,6 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] public global::Google.Gemini.TunedModelSource? TunedModelSource { 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { 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. /// - /// - /// Output only. The timestamp when this model was updated.
- /// 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. /// - /// - /// 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. A short description of this model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// + /// Output only. The state of the tuned model.
+ /// Included only in responses /// /// /// Output only. The timestamp when this model was created.
/// Included only in responses /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Output only. The state of the tuned model.
- /// Included only in responses + /// + /// Optional. A short description of this model. + /// + /// + /// 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. /// /// /// 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. 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. 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. + /// + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses /// /// /// 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. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( - global::System.Collections.Generic.IList? readerProjectNumbers, - string? updateTime, global::Google.Gemini.TuningTask? tuningTask, - string? description, - string? createTime, + global::System.Collections.Generic.IList? readerProjectNumbers, + float? topP, + float? temperature, string? baseModel, - string? displayName, global::Google.Gemini.TunedModelState? state, - string? name, - float? temperature, + string? createTime, + string? displayName, + string? description, int? topK, - global::Google.Gemini.TunedModelSource? tunedModelSource, - float? topP) + string? name, + string? updateTime, + global::Google.Gemini.TunedModelSource? tunedModelSource) { - this.ReaderProjectNumbers = readerProjectNumbers; - this.UpdateTime = updateTime; this.TuningTask = tuningTask; - this.Description = description; - this.CreateTime = createTime; + this.ReaderProjectNumbers = readerProjectNumbers; + this.TopP = topP; + this.Temperature = temperature; this.BaseModel = baseModel; - this.DisplayName = displayName; this.State = state; - this.Name = name; - this.Temperature = temperature; + this.CreateTime = createTime; + this.DisplayName = displayName; + this.Description = description; this.TopK = topK; + this.Name = name; + this.UpdateTime = updateTime; this.TunedModelSource = tunedModelSource; - this.TopP = topP; } /// 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 ceaaa53f..bafee2ce 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 @@ -8,6 +8,12 @@ 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 @@ -15,12 +21,6 @@ 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? baseModel, - string? tunedModel) + string? tunedModel, + string? baseModel) { - this.BaseModel = baseModel; this.TunedModel = tunedModel; + this.BaseModel = baseModel; } /// 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 d2aae8fd..7241cadd 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 @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class TuningSnapshot { /// - /// Output only. The tuning step.
+ /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("step")] - public int? Step { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] + public string? ComputeTime { get; set; } /// - /// Output only. The timestamp when this metric was computed.
+ /// Output only. The tuning step.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] - public string? ComputeTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("step")] + public int? Step { get; set; } /// /// Output only. The epoch this step was part of.
@@ -45,14 +45,14 @@ public sealed partial class TuningSnapshot /// /// Initializes a new instance of the class. /// - /// - /// Output only. The tuning step.
- /// Included only in responses - /// /// /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// + /// + /// Output only. The tuning step.
+ /// Included only in responses + /// /// /// Output only. The epoch this step was part of.
/// Included only in responses @@ -65,13 +65,13 @@ public sealed partial class TuningSnapshot [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( - int? step, string? computeTime, + int? step, int? epoch, float? meanLoss) { - this.Step = step; this.ComputeTime = computeTime; + this.Step = step; this.Epoch = epoch; this.MeanLoss = meanLoss; } 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 c5d36636..11270981 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 @@ -9,18 +9,10 @@ namespace Google.Gemini public sealed partial class TuningTask { /// - /// Output only. The timestamp when tuning this model started.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] - public string? StartTime { get; set; } - - /// - /// Output only. The timestamp when tuning this model completed.
- /// Included only in responses + /// Dataset for training or validation. /// - [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] - public string? CompleteTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] + public global::Google.Gemini.Dataset? TrainingData { get; set; } /// /// Output only. Metrics collected during tuning.
@@ -36,10 +28,18 @@ public sealed partial class TuningTask public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } /// - /// Dataset for training or validation. + /// Output only. The timestamp when tuning this model started.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] - public global::Google.Gemini.Dataset? TrainingData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] + public string? StartTime { get; set; } + + /// + /// Output only. The timestamp when tuning this model completed.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] + public string? CompleteTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -50,13 +50,8 @@ public sealed partial class TuningTask /// /// Initializes a new instance of the class. /// - /// - /// Output only. The timestamp when tuning this model started.
- /// Included only in responses - /// - /// - /// Output only. The timestamp when tuning this model completed.
- /// Included only in responses + /// + /// Dataset for training or validation. /// /// /// Output only. Metrics collected during tuning.
@@ -65,24 +60,29 @@ public sealed partial class TuningTask /// /// 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 started.
+ /// Included only in responses + /// + /// + /// Output only. The timestamp when tuning this model completed.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( - string? startTime, - string? completeTime, + global::Google.Gemini.Dataset? trainingData, global::System.Collections.Generic.IList? snapshots, global::Google.Gemini.Hyperparameters? hyperparameters, - global::Google.Gemini.Dataset? trainingData) + string? startTime, + string? completeTime) { - this.StartTime = startTime; - this.CompleteTime = completeTime; + this.TrainingData = trainingData; this.Snapshots = snapshots; this.Hyperparameters = hyperparameters; - this.TrainingData = trainingData; + this.StartTime = startTime; + this.CompleteTime = completeTime; } /// 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 b73875bb..2e77d4e4 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 @@ -14,6 +14,12 @@ public sealed partial class UploadToFileSearchStoreRequest [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Custom metadata to be associated with the data. + /// + [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 /// @@ -26,12 +32,6 @@ public sealed partial class UploadToFileSearchStoreRequest [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } - /// - /// Custom metadata to be associated with the data. - /// - [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 /// @@ -44,28 +44,28 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// Optional. Display name of the created document. /// + /// + /// Custom metadata to be associated with the data. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// - /// - /// Custom metadata to be associated with the data. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UploadToFileSearchStoreRequest( string? displayName, + global::System.Collections.Generic.IList? customMetadata, global::Google.Gemini.ChunkingConfig? chunkingConfig, - string? mimeType, - global::System.Collections.Generic.IList? customMetadata) + string? mimeType) { this.DisplayName = displayName; + this.CustomMetadata = customMetadata; this.ChunkingConfig = chunkingConfig; this.MimeType = mimeType; - this.CustomMetadata = customMetadata; } /// 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 e69ffdd1..97f3a45b 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 @@ -8,6 +8,20 @@ namespace Google.Gemini /// public sealed partial class UsageMetadata { + /// + /// 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 present in tool-use prompt(s).
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] + public int? ToolUsePromptTokenCount { get; set; } + /// /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses @@ -16,10 +30,11 @@ public sealed partial class UsageMetadata public int? ThoughtsTokenCount { get; set; } /// - /// 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. + /// 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("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// /// Total token count for the generation request (prompt + thoughts + response candidates). @@ -35,46 +50,25 @@ public sealed partial class UsageMetadata 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. 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; } - - /// - /// Total number of tokens across all the generated response candidates. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } - - /// - /// Output only. List of modalities that were processed in the request input.
+ /// Output only. Service tier of the request.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter))] + public global::Google.Gemini.UsageMetadataServiceTier? ServiceTier { get; set; } /// - /// Output only. List of modalities that were returned in the response.
- /// Included only in responses + /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] - public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } /// - /// Output only. Service tier of the request.
+ /// Output only. List of modalities that were processed for tool-use request inputs.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter))] - public global::Google.Gemini.UsageMetadataServiceTier? ServiceTier { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] + public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } /// /// Number of tokens in the cached part of the prompt (the cached content) @@ -82,6 +76,12 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] public int? CachedContentTokenCount { get; set; } + /// + /// Total number of tokens across all the generated response candidates. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { 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 @@ -105,46 +105,46 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Output only. Number of tokens of thoughts for thinking models.
- /// Included only in responses - /// - /// - /// 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 token count for the generation request (prompt + thoughts + response candidates). - /// - /// - /// 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.
+ /// + /// 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 /// - /// - /// Total number of tokens across all the generated response candidates. + /// + /// Output only. Number of tokens of thoughts for thinking models.
+ /// Included only in responses /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - /// - /// Output only. List of modalities that were returned in the response.
+ /// + /// Total token count for the generation request (prompt + thoughts + response candidates). + /// + /// + /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses /// /// /// Output only. Service tier of the request.
/// Included only in responses /// + /// + /// 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. + /// + /// + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses + /// /// /// Number of tokens in the cached part of the prompt (the cached content) /// + /// + /// Total number of tokens across all the generated response candidates. + /// /// /// 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( + global::System.Collections.Generic.IList? candidatesTokensDetails, + int? toolUsePromptTokenCount, int? thoughtsTokenCount, - int? promptTokenCount, + global::System.Collections.Generic.IList? promptTokensDetails, int? totalTokenCount, global::System.Collections.Generic.IList? cacheTokensDetails, - global::System.Collections.Generic.IList? toolUsePromptTokensDetails, - int? toolUsePromptTokenCount, - int? candidatesTokenCount, - global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? candidatesTokensDetails, global::Google.Gemini.UsageMetadataServiceTier? serviceTier, + int? promptTokenCount, + global::System.Collections.Generic.IList? toolUsePromptTokensDetails, int? cachedContentTokenCount, + int? candidatesTokenCount, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { + this.CandidatesTokensDetails = candidatesTokensDetails; + this.ToolUsePromptTokenCount = toolUsePromptTokenCount; this.ThoughtsTokenCount = thoughtsTokenCount; - this.PromptTokenCount = promptTokenCount; + this.PromptTokensDetails = promptTokensDetails; this.TotalTokenCount = totalTokenCount; this.CacheTokensDetails = cacheTokensDetails; - this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; - this.ToolUsePromptTokenCount = toolUsePromptTokenCount; - this.CandidatesTokenCount = candidatesTokenCount; - this.PromptTokensDetails = promptTokensDetails; - this.CandidatesTokensDetails = candidatesTokensDetails; this.ServiceTier = serviceTier; + this.PromptTokenCount = promptTokenCount; + this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; this.CachedContentTokenCount = cachedContentTokenCount; + this.CandidatesTokenCount = candidatesTokenCount; 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.WhiteSpaceConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs index 24c4a609..c7b0c0fb 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 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; } + /// + /// 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; } + /// /// 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 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. /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public WhiteSpaceConfig( - int? maxTokensPerChunk, - int? maxOverlapTokens) + int? maxOverlapTokens, + int? maxTokensPerChunk) { - this.MaxTokensPerChunk = maxTokensPerChunk; this.MaxOverlapTokens = maxOverlapTokens; + this.MaxTokensPerChunk = maxTokensPerChunk; } /// diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index 4b026833..156672ca 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,15 +11,40 @@ } ], "paths": { - "/models": { + "/fileSearchStores": { + "post": { + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" + } + } + } + } + } + }, "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { "type": "integer", "format": "int32" @@ -28,7 +53,7 @@ { "name": "pageToken", "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", "schema": { "type": "string" } @@ -40,7 +65,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" } } } @@ -48,82 +73,65 @@ } } }, - "/models/{modelsId}:embedContent": { - "post": { - "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", - "operationId": "models.embedContent", + "/fileSearchStores/{fileSearchStoresId}": { + "get": { + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "modelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/FileSearchStore" } } } } } - } - }, - "/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", + }, + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "modelsId", + "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 name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], - "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": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -131,19 +139,19 @@ } } }, - "/models/{modelsId}:countTokens": { + "/fileSearchStores/{fileSearchStoresId}:importFile": { "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": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { - "name": "modelsId", + "name": "fileSearchStoresId", "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. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -151,7 +159,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensRequest" + "$ref": "#/components/schemas/ImportFileRequest" } } } @@ -162,7 +170,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -170,31 +178,30 @@ } } }, - "/models/{modelsId}: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": "models.asyncBatchEmbedContent", + "/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", "parameters": [ { - "name": "modelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", @@ -209,19 +216,27 @@ } } }, - "/models/{modelsId}": { + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { "get": { - "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", - "operationId": "models.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "modelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], @@ -231,7 +246,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/Operation" } } } @@ -239,77 +254,81 @@ } } }, - "/models/{modelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "models.generateContent", + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { + "get": { + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "modelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Document" } } } } } - } - }, - "/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", + }, + "delete": { + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.delete", "parameters": [ { - "name": "modelsId", + "name": "fileSearchStoresId", "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}`", + "schema": { + "type": "string" + } + }, + { + "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" + } + }, + { + "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`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -317,110 +336,15 @@ } } }, - "/models/{modelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + "/fileSearchStores/{fileSearchStoresId}/documents": { + "get": { + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } - } - } - } - } - }, - "/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": "models.operations.get", - "parameters": [ - { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } - } - } - } - } - }, - "/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": "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.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", "schema": { "type": "integer", "format": "int32" @@ -429,17 +353,19 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", "schema": { "type": "string" } }, { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", "schema": { - "type": "boolean" + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -449,7 +375,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } @@ -501,49 +427,10 @@ } } }, - "/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": "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/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - } - } - } - } - } - }, "/tunedModels/{tunedModelsId}": { - "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", + "get": { + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", "parameters": [ { "name": "tunedModelsId", @@ -562,7 +449,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/TunedModel" } } } @@ -615,9 +502,9 @@ } } }, - "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", + "delete": { + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { "name": "tunedModelsId", @@ -636,7 +523,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Empty" } } } @@ -644,60 +531,19 @@ } } }, - "/tunedModels": { - "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", - "parameters": [ - { - "name": "filter", - "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", - "schema": { - "type": "string" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", - "schema": { - "type": "string" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" - } - } - } - } - } - }, + "/tunedModels/{tunedModelsId}:batchGenerateContent": { "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": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "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": "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/[^/]+$" } } ], @@ -705,7 +551,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -724,10 +570,10 @@ } } }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { "name": "tunedModelsId", @@ -744,7 +590,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -763,19 +609,17 @@ } } }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "/tunedModels": { "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", + "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", + "operationId": "tunedModels.create", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "tunedModelId", + "in": "query", + "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "string" } } ], @@ -783,7 +627,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/TunedModel" } } } @@ -800,112 +644,23 @@ } } } - } - }, - "/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": "tunedModelsId", - "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/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" - } - } - } - } - } - } - }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "tunedModels.operations.get", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "operationsId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } - } - } - } - } - }, - "/tunedModels/{tunedModelsId}/operations": { + }, "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "tunedModels.operations.list", + "description": "Lists created tuned models.", + "operationId": "tunedModels.list", "parameters": [ { "name": "filter", "in": "query", - "description": "The standard list filter.", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", "schema": { "type": "string" } }, - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "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" @@ -914,18 +669,10 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "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" } - }, - { - "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": { @@ -934,7 +681,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } @@ -942,108 +689,58 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + "/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": "tunedModelsId", "in": "path", "required": true, - "schema": { - "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}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" } } } - } - }, - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "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/Permission" + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + } + }, + "/tunedModels/{tunedModelsId}:transferOwnership": { + "post": { + "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", + "operationId": "tunedModels.transferOwnership", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", - "in": "path", - "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1051,7 +748,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/TransferOwnershipRequest" } } } @@ -1062,7 +759,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } @@ -1154,53 +851,33 @@ } } }, - "/cachedContents/{cachedContentsId}": { - "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.get", + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { - "name": "cachedContentsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } + "type": "string" } - } - } - }, - "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", - "parameters": [ + }, { - "name": "cachedContentsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } }, { "name": "updateMask", "in": "query", - "description": "The list of fields to update.", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", "schema": { "type": "string", "format": "google-fieldmask" @@ -1211,7 +888,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Permission" } } } @@ -1222,7 +899,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Permission" } } } @@ -1230,17 +907,25 @@ } }, "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "parameters": [ { - "name": "cachedContentsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -1256,53 +941,65 @@ } } } - } - }, - "/cachedContents": { - "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } + }, + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "schema": { + "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/CachedContent" + "$ref": "#/components/schemas/Permission" } } } } } - }, + } + }, + "/tunedModels/{tunedModelsId}/operations/{operationsId}": { "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "tunedModels.operations.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", + "name": "tunedModelsId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "name": "operationsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" } } ], @@ -1312,7 +1009,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1320,43 +1017,62 @@ } } }, - "/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", + "/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": "dynamicId", + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "The name of the operation's parent resource.", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } + }, + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -1364,19 +1080,28 @@ } } }, - "/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", + "/batches/{batchesId}:updateGenerateContentBatch": { + "patch": { + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", "parameters": [ { - "name": "dynamicId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -1384,7 +1109,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -1395,7 +1120,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -1403,15 +1128,36 @@ } } }, - "/files": { - "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", + "/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/CreateFileRequest" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -1422,32 +1168,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/EmbedContentBatch" } } } } } - }, + } + }, + "/batches/{batchesId}": { "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "batches.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", + "name": "batchesId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { - "type": "string" + "type": "string", + "pattern": "^batches/[^/]+$" } } ], @@ -1457,46 +1198,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFilesResponse" + "$ref": "#/components/schemas/Operation" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { - "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", + }, + "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": "fileSearchStoresId", + "name": "batchesId", "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 name of the operation resource to be deleted.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/Empty" } } } @@ -1504,15 +1234,23 @@ } } }, - "/fileSearchStores": { + "/batches": { "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + "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" + } + }, { "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 standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -1521,10 +1259,18 @@ { "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": "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": { @@ -1533,32 +1279,37 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } } } - }, + } + }, + "/batches/{batchesId}:cancel": { "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/FileSearchStore" - } + "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/FileSearchStore" + "$ref": "#/components/schemas/Empty" } } } @@ -1566,19 +1317,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { + "/models/{modelsId}:asyncBatchEmbedContent": { "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "models.asyncBatchEmbedContent", "parameters": [ { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1586,7 +1337,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ImportFileRequest" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -1605,55 +1356,63 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}": { - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", + "/models/{modelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "models.streamGenerateContent", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, + } + }, + "/models/{modelsId}": { "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", + "operationId": "models.get", "parameters": [ { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1663,7 +1422,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Model" } } } @@ -1671,37 +1430,38 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", + "/models/{modelsId}:embedContent": { + "post": { + "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", + "operationId": "models.embedContent", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -1709,30 +1469,31 @@ } } }, - "/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": "fileSearchStores.upload.operations.get", + "/models/{modelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", @@ -1747,27 +1508,26 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { + "/models": { "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { - "type": "string" + "type": "integer", + "format": "int32" } }, { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "name": "pageToken", + "in": "query", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "type": "string" } } ], @@ -1777,51 +1537,46 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/ListModelsResponse" } } } } } - }, - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", + } + }, + "/models/{modelsId}:countTokens": { + "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", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "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" - } - }, - { - "name": "documentsId", + "name": "modelsId", "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`", + "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/[^/]+/documents/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CountTokensRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/CountTokensResponse" } } } @@ -1829,36 +1584,105 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents": { - "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + "/models/{modelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "models.generateContent", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "integer", - "format": "int32" + "type": "string", + "pattern": "^models/[^/]+$" } - }, + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" + } + } + } + } + } + } + }, + "/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": "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.", + "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}`", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchEmbedContentsRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchEmbedContentsResponse" + } + } + } + } + } + } + }, + "/models/{modelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "models.operations.get", + "parameters": [ + { + "name": "operationsId", + "in": "path", + "required": true, "schema": { "type": "string" } }, { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], @@ -1868,7 +1692,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1876,15 +1700,33 @@ } } }, - "/corpora": { + "/models/{modelsId}/operations": { "get": { - "description": "Lists all `Corpora` owned by the user.", - "operationId": "corpora.list", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "models.operations.list", "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + }, { "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.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -1893,10 +1735,18 @@ { "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.", + "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": { @@ -1905,21 +1755,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCorporaResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } } } - }, + } + }, + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", + "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`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" } } } @@ -1930,7 +1794,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } @@ -1938,55 +1802,51 @@ } } }, - "/corpora/{corporaId}": { - "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", - "parameters": [ - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" + "/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/Corpus" + "$ref": "#/components/schemas/CreateFileResponse" } } } } } }, - "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.delete", + "get": { + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", "parameters": [ { - "name": "force", + "name": "pageSize", "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { - "type": "boolean" + "type": "integer", + "format": "int32" } }, { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListFiles` call.", "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" + "type": "string" } } ], @@ -1996,7 +1856,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListFilesResponse" } } } @@ -2004,27 +1864,19 @@ } } }, - "/corpora/{corporaId}/operations/{operationsId}": { + "/files/{filesId}": { "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 the metadata for the given `File`.", + "operationId": "files.get", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "filesId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `File` to get. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "pattern": "^files/[^/]+$" } } ], @@ -2034,35 +1886,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/File" } } } } } - } - }, - "/corpora/{corporaId}/permissions/{permissionsId}": { - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.permissions.get", + }, + "delete": { + "description": "Deletes the `File`.", + "operationId": "files.delete", "parameters": [ { - "name": "permissionsId", + "name": "filesId", "in": "path", "required": true, + "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", "schema": { - "type": "string" - } - }, - { - "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": "^corpora/[^/]+/permissions/[^/]+$" + "type": "string", + "pattern": "^files/[^/]+$" } } ], @@ -2072,73 +1914,85 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Empty" } } } } } - }, - "patch": { - "description": "Updates the permission.", - "operationId": "corpora.permissions.patch", - "parameters": [ - { - "name": "permissionsId", - "in": "path", - "required": true, - "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/RegisterFilesResponse" + } + } + } + } + } + } + }, + "/generatedFiles": { + "get": { + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", + "parameters": [ { - "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.", + "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": "^corpora/[^/]+/permissions/[^/]+$" + "type": "integer", + "format": "int32" } }, { - "name": "updateMask", + "name": "pageToken", "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", "schema": { - "type": "string", - "format": "google-fieldmask" + "type": "string" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListGeneratedFilesResponse" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", + } + }, + "/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": "permissionsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -2146,13 +2000,13 @@ } }, { - "name": "corporaId", + "name": "generatedFilesId", "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/[^/]+$" + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" } } ], @@ -2162,7 +2016,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -2170,64 +2024,58 @@ } } }, - "/corpora/{corporaId}/permissions": { - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "corpora.permissions.list", + "/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": "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": "dynamicId", "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/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, + } + }, + "/dynamic/{dynamicId}:streamGenerateContent": { "post": { - "description": "Create a permission to a specific resource.", - "operationId": "corpora.permissions.create", + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", "parameters": [ { - "name": "corporaId", + "name": "dynamicId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -2235,7 +2083,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -2246,7 +2094,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -2254,15 +2107,40 @@ } } }, - "/generatedFiles": { + "/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 the generated files owned by the requesting project.", - "operationId": "generatedFiles.list", + "description": "Lists all `Corpora` owned by the user.", + "operationId": "corpora.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 `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" @@ -2271,7 +2149,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "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" } @@ -2283,7 +2161,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/ListCorporaResponse" } } } @@ -2291,27 +2169,27 @@ } } }, - "/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", + "/corpora/{corporaId}": { + "delete": { + "description": "Deletes a `Corpus`.", + "operationId": "corpora.delete", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, + "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": "string" + "type": "boolean" } }, { - "name": "generatedFilesId", + "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -2321,27 +2199,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$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", + }, + "get": { + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", "parameters": [ { - "name": "batchesId", + "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -2351,7 +2227,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Corpus" } } } @@ -2359,47 +2235,73 @@ } } }, - "/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", + "/corpora/{corporaId}/permissions": { + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "corpora.permissions.create", + "parameters": [ + { + "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": "^batches/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } } } }, - "delete": { - "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", - "operationId": "batches.delete", + "get": { + "description": "Lists permissions for the specific resource.", + "operationId": "corpora.permissions.list", "parameters": [ { - "name": "batchesId", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation resource to be deleted.", + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -2409,7 +2311,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -2417,73 +2319,69 @@ } } }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + "/corpora/{corporaId}/permissions/{permissionsId}": { + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "corpora.permissions.get", "parameters": [ { - "name": "batchesId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "type": "string" } }, { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "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", - "format": "google-fieldmask" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/batches/{batchesId}:updateEmbedContentBatch": { + }, "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + "description": "Updates the permission.", + "operationId": "corpora.permissions.patch", "parameters": [ { - "name": "batchesId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "schema": { + "type": "string" + } + }, + { + "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": "^batches/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } }, { "name": "updateMask", "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", "schema": { "type": "string", "format": "google-fieldmask" @@ -2494,7 +2392,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/Permission" } } } @@ -2505,50 +2403,71 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/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", + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "corpora.permissions.delete", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", + "name": "permissionsId", + "in": "path", + "required": true, "schema": { "type": "string" } }, { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", + "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": "integer", - "format": "int32" + "type": "string", + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } - }, + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } + } + } + } + }, + "/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", + "parameters": [ { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", + "name": "operationsId", + "in": "path", + "required": true, "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.", + "name": "corporaId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { - "type": "boolean" + "type": "string", + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -2558,7 +2477,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -2566,15 +2485,15 @@ } } }, - "/files:register": { + "/cachedContents": { "post": { - "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", - "operationId": "files.register", + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesRequest" + "$ref": "#/components/schemas/CachedContent" } } } @@ -2585,27 +2504,32 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesResponse" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/files/{filesId}": { + }, "get": { - "description": "Gets the metadata for the given `File`.", - "operationId": "files.get", + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", "parameters": [ { - "name": "filesId", - "in": "path", - "required": true, - "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", "schema": { - "type": "string", - "pattern": "^files/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "schema": { + "type": "string" } } ], @@ -2615,25 +2539,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/ListCachedContentsResponse" } } } } } - }, - "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", + } + }, + "/cachedContents/{cachedContentsId}": { + "get": { + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.get", "parameters": [ { - "name": "filesId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], @@ -2643,803 +2569,374 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - } - }, - "components": { - "schemas": { - "GenerationConfig": { - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", - "type": "object", - "properties": { - "presencePenalty": { - "format": "float", - "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" - }, - "mediaResolution": { - "description": "Optional. If specified, the media resolution specified will be used.", - "type": "string", - "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)." - ], - "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ] - }, - "responseLogprobs": { - "description": "Optional. If true, export the logprobs results in response.", - "type": "boolean" - }, - "responseModalities": { - "items": { - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "AUDIO", - "VIDEO" - ], - "type": "string", - "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." - ] - }, - "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" - }, - "translationConfig": { - "description": "Optional. Config for translation.", - "$ref": "#/components/schemas/TranslationConfig" - }, - "seed": { - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", - "type": "integer", - "format": "int32" - }, - "thinkingConfig": { - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", - "$ref": "#/components/schemas/ThinkingConfig" - }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" - }, - "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" - }, - "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" - }, - "topK": { - "format": "int32", - "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" - }, - "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" - }, - "candidateCount": { - "format": "int32", - "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" - }, - "logprobs": { - "format": "int32", - "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" - }, - "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" - }, - "topP": { - "format": "float", - "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" - }, - "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" - } - }, - "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.", - "$ref": "#/components/schemas/Schema" - }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" - }, - "frequencyPenalty": { - "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", - "type": "number", - "format": "float" - }, - "imageConfig": { - "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", - "$ref": "#/components/schemas/ImageConfig" - }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." - } - } - }, - "CachedContentUsageMetadata": { - "description": "Metadata on the usage of the cached content.", - "type": "object", - "properties": { - "totalTokenCount": { - "format": "int32", - "description": "Total number of tokens that the cached content consumes.", - "type": "integer" - } - } - }, - "EmbedContentRequest": { - "description": "Request containing the `Content` for the model to embed.", - "type": "object", - "properties": { - "embedContentConfig": { - "description": "Optional. Configuration for the EmbedContent request.", - "$ref": "#/components/schemas/EmbedContentConfig" - }, - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$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" - }, - "taskType": { - "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." - ], - "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 - }, - "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.", - "type": "string", - "deprecated": true - }, - "outputDimensionality": { - "format": "int32", - "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", - "deprecated": true - } - } - }, - "ListFilesResponse": { - "description": "Response for `ListFiles`.", - "type": "object", - "properties": { - "files": { - "items": { - "$ref": "#/components/schemas/File" - }, - "description": "The list of `File`s.", - "type": "array" - }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", - "type": "string" - } - } - }, - "UsageMetadata": { - "description": "Metadata on the generation request's token usage.", - "type": "object", - "properties": { - "thoughtsTokenCount": { - "description": "Output only. Number of tokens of thoughts for thinking models.", - "type": "integer", - "readOnly": true, - "format": "int32" - }, - "promptTokenCount": { - "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", - "type": "integer", - "format": "int32" - }, - "totalTokenCount": { - "format": "int32", - "description": "Total token count for the generation request (prompt + thoughts + response candidates).", - "type": "integer" - }, - "cacheTokensDetails": { - "description": "Output only. List of modalities of the cached content in the request input.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "toolUsePromptTokensDetails": { - "description": "Output only. List of modalities that were processed for tool-use request inputs.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "toolUsePromptTokenCount": { - "readOnly": true, - "format": "int32", - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "type": "integer" - }, - "candidatesTokenCount": { - "description": "Total number of tokens across all the generated response candidates.", - "type": "integer", - "format": "int32" - }, - "promptTokensDetails": { - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array" - }, - "candidatesTokensDetails": { - "description": "Output only. List of modalities that were returned in the response.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "serviceTier": { - "type": "string", - "readOnly": true, - "description": "Output only. Service tier of the request.", - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ], - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ] - }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content)", - "type": "integer", - "format": "int32" - }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", - "type": "integer", - "format": "int32", - "readOnly": true - }, - "responseTokensDetails": { - "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - } - } - }, - "StreamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", - "type": "object", - "properties": { - "headers": { - "additionalProperties": { - "type": "string" - }, - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "type": "object" - }, - "url": { - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", - "type": "string" - }, - "timeout": { - "description": "HTTP timeout for regular operations.", - "type": "string", - "format": "google-duration" - }, - "sseReadTimeout": { - "format": "google-duration", - "description": "Timeout for SSE read operations.", - "type": "string" - }, - "terminateOnClose": { - "description": "Whether to close the client session when the transport closes.", - "type": "boolean" - } - } - }, - "FileData": { - "description": "URI based data.", - "type": "object", - "properties": { - "fileUri": { - "description": "Required. URI.", - "type": "string" - }, - "mimeType": { - "description": "Optional. The IANA standard MIME type of the source data.", - "type": "string" - } - } - }, - "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": { - "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" - }, - "fileSearchStores": { - "items": { - "$ref": "#/components/schemas/FileSearchStore" - }, - "description": "The returned rag_stores.", - "type": "array" - } - } - }, - "InlinedRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", - "type": "object", - "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedRequest" - } - } - } - }, - "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" - } - } - }, - "Dataset": { - "description": "Dataset for training or validation.", - "type": "object", - "properties": { - "examples": { - "description": "Optional. Inline examples with simple input/output text.", - "$ref": "#/components/schemas/TuningExamples" - } - } - }, - "Operation": { - "description": "This resource represents a long-running operation that is the result of a network API call.", - "type": "object", - "properties": { - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$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." - } - }, - "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" - } - } - }, - "AttributionSourceId": { - "description": "Identifier for the source contributing to this attribution.", - "type": "object", - "properties": { - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" - }, - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" - } - } }, - "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": { - "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" + "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/[^/]+$" + } }, - "endTime": { - "format": "google-datetime", - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", - "type": "string" + { + "name": "updateMask", + "in": "query", + "description": "The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } } - } - }, - "CitationSource": { - "description": "A citation to a source for a portion of a specific response.", - "type": "object", - "properties": { - "license": { - "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", - "type": "string" - }, - "startIndex": { - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", - "type": "integer", - "format": "int32" - }, - "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", - "type": "string" - }, - "endIndex": { - "format": "int32", - "description": "Optional. End of the attributed segment, exclusive.", - "type": "integer" + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } } - } - }, - "SemanticRetrieverChunk": { - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", - "type": "object", - "properties": { - "chunk": { - "readOnly": true, - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", - "type": "string" - }, - "source": { - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", - "type": "string", - "readOnly": true + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } } } }, - "FunctionDeclaration": { - "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", - "type": "object", - "properties": { - "parameters": { - "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", - "$ref": "#/components/schemas/Schema" - }, - "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" - }, - "description": { - "description": "Required. A brief description of the function.", - "type": "string" - }, - "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" - }, - "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`." - }, - "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`." + "delete": { + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", + "parameters": [ + { + "name": "cachedContentsId", + "in": "path", + "required": true, + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "schema": { + "type": "string", + "pattern": "^cachedContents/[^/]+$" + } } - } - }, - "ContentEmbedding": { - "description": "A list of floats representing an embedding.", - "type": "object", - "properties": { - "shape": { - "items": { - "type": "integer", - "format": "int32" - }, - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", - "type": "array" - }, - "values": { - "items": { - "format": "float", - "type": "number" - }, - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", - "type": "array" + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } } } - }, - "Part": { - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", - "type": "object", + } + } + }, + "components": { + "schemas": { + "Tool": { + "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", "properties": { - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" - }, - "thoughtSignature": { - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", - "type": "string", - "format": "byte" - }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" - }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" - }, - "thought": { - "description": "Optional. Indicates if the part is thought from the model.", - "type": "boolean" - }, - "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.", - "$ref": "#/components/schemas/FunctionResponse" + "codeExecution": { + "description": "Optional. Enables the model to execute code as part of generation.", + "$ref": "#/components/schemas/CodeExecution" }, - "text": { - "description": "Inline text.", - "type": "string" + "googleMaps": { + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", + "$ref": "#/components/schemas/GoogleMaps" }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" + "googleSearch": { + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "$ref": "#/components/schemas/GoogleSearch" }, - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" }, - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" + "googleSearchRetrieval": { + "description": "Optional. Retrieval tool that is powered by Google search.", + "$ref": "#/components/schemas/GoogleSearchRetrieval" }, - "partMetadata": { - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "fileSearch": { + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", + "$ref": "#/components/schemas/FileSearch" }, - "codeExecutionResult": { - "description": "Result of executing the `ExecutableCode`.", - "$ref": "#/components/schemas/CodeExecutionResult" + "computerUse": { + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", + "$ref": "#/components/schemas/ComputerUse" }, - "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.", - "$ref": "#/components/schemas/ToolCall" + "mcpServers": { + "type": "array", + "description": "Optional. MCP Servers to connect to.", + "items": { + "$ref": "#/components/schemas/McpServer" + } }, - "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`.", - "$ref": "#/components/schemas/ToolResponse" + "functionDeclarations": { + "type": "array", + "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", + "items": { + "$ref": "#/components/schemas/FunctionDeclaration" + } + } + }, + "type": "object" + }, + "GoogleSearchRetrieval": { + "type": "object", + "description": "Tool to retrieve public web data for grounding, powered by Google.", + "properties": { + "dynamicRetrievalConfig": { + "description": "Specifies the dynamic retrieval configuration for the given source.", + "$ref": "#/components/schemas/DynamicRetrievalConfig" } } }, - "FunctionResponse": { - "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", + "VoiceConfig": { "type": "object", + "description": "The configuration for the voice to use.", "properties": { - "id": { - "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", + "prebuiltVoiceConfig": { + "description": "The configuration for the prebuilt voice to use.", + "$ref": "#/components/schemas/PrebuiltVoiceConfig" + } + } + }, + "UploadToFileSearchStoreRequest": { + "type": "object", + "description": "Request for `UploadToFileSearchStore`.", + "properties": { + "displayName": { + "description": "Optional. Display name of the created document.", "type": "string" }, - "parts": { - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", + "customMetadata": { "type": "array", + "description": "Custom metadata to be associated with the data.", "items": { - "$ref": "#/components/schemas/FunctionResponsePart" + "$ref": "#/components/schemas/CustomMetadata" } }, - "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", - "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." - ], - "enum": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" - ] - }, - "response": { - "additionalProperties": { - "description": "Properties of the object." - }, - "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 \"$ref\" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal.", - "type": "object" - }, - "willContinue": { - "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", - "type": "boolean" + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" }, - "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.", + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", "type": "string" } } }, - "Corpus": { - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", - "type": "object", + "EmbeddingUsageMetadata": { + "description": "Metadata on the usage of the embedding request.", "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 - }, - "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" - }, - "updateTime": { - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "type": "string", + "promptTokenCount": { "readOnly": true, - "format": "google-datetime" + "format": "int32", + "description": "Output only. Number of tokens in the prompt.", + "type": "integer" }, - "createTime": { - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "type": "string", + "promptTokenDetails": { "readOnly": true, - "format": "google-datetime" + "description": "Output only. List of modalities that were processed in the request input.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "type": "array" } - } + }, + "type": "object" }, - "TuningSnapshot": { - "description": "Record for a single tuning step.", - "type": "object", + "UsageMetadata": { + "description": "Metadata on the generation request's token usage.", "properties": { - "step": { + "candidatesTokensDetails": { + "type": "array", + "description": "Output only. List of modalities that were returned in the response.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "readOnly": true + }, + "toolUsePromptTokenCount": { + "type": "integer", + "readOnly": true, + "format": "int32", + "description": "Output only. Number of tokens present in tool-use prompt(s)." + }, + "thoughtsTokenCount": { + "description": "Output only. Number of tokens of thoughts for thinking models.", "readOnly": true, "format": "int32", - "description": "Output only. The tuning step.", "type": "integer" }, - "computeTime": { + "promptTokensDetails": { "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp when this metric was computed.", + "description": "Output only. List of modalities that were processed in the request input.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "type": "array" + }, + "totalTokenCount": { + "type": "integer", + "description": "Total token count for the generation request (prompt + thoughts + response candidates).", + "format": "int32" + }, + "cacheTokensDetails": { + "type": "array", + "readOnly": true, + "description": "Output only. List of modalities of the cached content in the request input.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } + }, + "serviceTier": { + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ], + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ], + "readOnly": true, + "description": "Output only. Service tier of the request.", "type": "string" }, - "epoch": { + "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.", + "format": "int32", + "type": "integer" + }, + "toolUsePromptTokensDetails": { + "description": "Output only. List of modalities that were processed for tool-use request inputs.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, "readOnly": true, + "type": "array" + }, + "cachedContentTokenCount": { "format": "int32", - "description": "Output only. The epoch this step was part of.", + "description": "Number of tokens in the cached part of the prompt (the cached content)", "type": "integer" }, - "meanLoss": { + "candidatesTokenCount": { + "type": "integer", + "format": "int32", + "description": "Total number of tokens across all the generated response candidates." + }, + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", + "readOnly": true + }, + "responseTokensDetails": { + "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + "type": "array", "readOnly": true, - "format": "float", - "description": "Output only. The mean loss of the training examples for this step.", - "type": "number" + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } } - } + }, + "type": "object" }, - "SpeakerVoiceConfig": { - "description": "The configuration for a single speaker in a multi speaker setup.", + "Schema": { "type": "object", + "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).", "properties": { - "speaker": { - "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", + "minimum": { + "type": "number", + "format": "double", + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER" + }, + "minItems": { + "type": "string", + "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "format": "int64" + }, + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" + }, + "required": { + "description": "Optional. Required properties of Type.OBJECT.", + "items": { + "type": "string" + }, + "type": "array" + }, + "maxProperties": { + "description": "Optional. Maximum number of the properties for Type.OBJECT.", + "format": "int64", + "type": "string" + }, + "anyOf": { + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "items": { + "$ref": "#/components/schemas/Schema" + }, + "type": "array" + }, + "format": { + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", "type": "string" }, - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" - } - } - }, - "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": { - "minItems": { - "description": "Optional. Minimum number of the elements for Type.ARRAY.", - "type": "string", - "format": "int64" - }, - "required": { - "description": "Optional. Required properties of Type.OBJECT.", - "type": "array", + "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\"]}", "items": { "type": "string" - } + }, + "type": "array" + }, + "maxLength": { + "format": "int64", + "description": "Optional. Maximum length of the Type.STRING", + "type": "string" + }, + "minLength": { + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "format": "int64", + "type": "string" }, "title": { "description": "Optional. The title of the schema.", "type": "string" }, + "minProperties": { + "type": "string", + "description": "Optional. Minimum number of the properties for Type.OBJECT.", + "format": "int64" + }, "type": { + "type": "string", "enum": [ "TYPE_UNSPECIFIED", "STRING", @@ -3450,6 +2947,7 @@ "OBJECT", "NULL" ], + "description": "Required. Data type.", "x-enum-descriptions": [ "Not specified, should not be used.", "String type.", @@ -3459,1468 +2957,1837 @@ "Array type.", "Object type.", "Null type." - ], - "description": "Required. Data type.", - "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" + "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." }, - "enum": { - "items": { - "type": "string" - }, - "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" + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" }, - "maxItems": { - "format": "int64", - "description": "Optional. Maximum number of the elements for Type.ARRAY.", + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", "type": "string" }, - "format": { - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", + "pattern": { + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", "type": "string" }, + "maxItems": { + "type": "string", + "format": "int64", + "description": "Optional. Maximum number of the elements for Type.ARRAY." + }, "example": { "description": "Optional. Example of the object. Will only populated when the object is the root." }, - "maxLength": { - "description": "Optional. Maximum length of the Type.STRING", - "type": "string", - "format": "int64" + "properties": { + "description": "Optional. Properties of Type.OBJECT.", + "type": "object", + "additionalProperties": { + "$ref": "#/components/schemas/Schema" + } }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" + "maximum": { + "type": "number", + "format": "double", + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER" }, - "description": { - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + "propertyOrdering": { + "type": "array", + "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", + "items": { + "type": "string" + } + } + } + }, + "Dataset": { + "type": "object", + "description": "Dataset for training or validation.", + "properties": { + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" + } + } + }, + "CustomLongRunningOperation": { + "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" + }, + "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" + }, + "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" }, - "nullable": { - "description": "Optional. Indicates if the value may be null.", - "type": "boolean" + "metadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "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." + } + } + }, + "GoogleAiGenerativelanguageV1betaSegment": { + "type": "object", + "description": "Segment of the content.", + "properties": { + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "format": "int32", + "type": "integer" }, - "maxProperties": { - "format": "int64", - "description": "Optional. Maximum number of the properties for Type.OBJECT.", + "startIndex": { + "format": "int32", + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", + "type": "integer" + }, + "endIndex": { + "format": "int32", + "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", + "type": "integer" + }, + "text": { + "description": "The text corresponding to the segment from the response.", "type": "string" + } + } + }, + "GroundingChunk": { + "type": "object", + "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.", + "properties": { + "web": { + "description": "Grounding chunk from the web.", + "$ref": "#/components/schemas/Web" }, - "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." + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" }, - "minLength": { - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", - "type": "string", - "format": "int64" + "image": { + "description": "Optional. Grounding chunk from image search.", + "$ref": "#/components/schemas/Image" }, - "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.", + "maps": { + "description": "Optional. Grounding chunk from Google Maps.", + "$ref": "#/components/schemas/Maps" + } + } + }, + "RetrievalMetadata": { + "type": "object", + "description": "Metadata related to retrieval in the grounding flow.", + "properties": { + "googleSearchDynamicRetrievalScore": { + "type": "number", + "format": "float", + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search." + } + } + }, + "ListGeneratedFilesResponse": { + "type": "object", + "description": "Response for `ListGeneratedFiles`.", + "properties": { + "generatedFiles": { "type": "array", + "description": "The list of `GeneratedFile`s.", "items": { - "type": "string" + "$ref": "#/components/schemas/GeneratedFile" } }, - "anyOf": { - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "type": "string" + } + } + }, + "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.", + "properties": { + "expireTime": { + "type": "string", + "format": "google-datetime", + "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input." + }, + "createTime": { + "type": "string", + "readOnly": true, + "format": "google-datetime", + "description": "Output only. Creation time of the cache entry." + }, + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", + "$ref": "#/components/schemas/Content" + }, + "tools": { + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", + "items": { + "$ref": "#/components/schemas/Tool" + }, + "type": "array" + }, + "toolConfig": { + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", + "$ref": "#/components/schemas/ToolConfig" + }, + "name": { + "readOnly": true, + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "type": "string" + }, + "ttl": { + "type": "string", + "description": "Input only. New TTL for this resource, input only.", + "format": "google-duration" + }, + "contents": { "type": "array", + "description": "Optional. Input only. Immutable. The content to cache.", "items": { - "$ref": "#/components/schemas/Schema" + "$ref": "#/components/schemas/Content" } }, - "maximum": { - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" + "updateTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. When the cache entry was last updated in UTC time.", + "type": "string" }, - "minProperties": { - "format": "int64", - "description": "Optional. Minimum number of the properties for Type.OBJECT.", + "model": { + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", "type": "string" }, - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", + "displayName": { + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", "type": "string" }, - "properties": { - "description": "Optional. Properties of Type.OBJECT.", - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/Schema" - } + "usageMetadata": { + "readOnly": true, + "description": "Output only. Metadata on the usage of the cached content.", + "$ref": "#/components/schemas/CachedContentUsageMetadata" } - } + }, + "type": "object" }, - "TranslationConfig": { - "description": "Config for translation features.", - "type": "object", + "ImageConfig": { + "description": "Config for image generation features.", "properties": { - "echoTargetLanguage": { - "description": "Optional. If true, the model will generate audio when the target language is spoken, essentially it will parrot the input. If false, we will not produce audio for the target language.", - "type": "boolean" + "imageSize": { + "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", + "type": "string" }, - "targetLanguageCode": { - "description": "Required. The target language for translation. Supported values are BCP-47 language codes (e.g. \"en\", \"es\", \"fr\").", + "aspectRatio": { + "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided.", "type": "string" } - } + }, + "type": "object" }, - "PromptFeedback": { - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", + "Blob": { "type": "object", + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", "properties": { - "safetyRatings": { - "items": { - "$ref": "#/components/schemas/SafetyRating" - }, - "description": "Ratings for safety of the prompt. There is at most one rating per category.", - "type": "array" + "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" }, - "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." - ], - "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" - ] + "data": { + "description": "Raw bytes for media formats.", + "format": "byte", + "type": "string" } } }, - "ThinkingConfig": { - "description": "Config for thinking features.", + "InlinedResponses": { + "description": "The responses to the requests in the batch.", + "properties": { + "inlinedResponses": { + "type": "array", + "readOnly": true, + "description": "Output only. The responses to the requests in the batch.", + "items": { + "$ref": "#/components/schemas/InlinedResponse" + } + } + }, + "type": "object" + }, + "Permission": { "type": "object", + "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", "properties": { - "thinkingBudget": { - "format": "int32", - "description": "The number of thoughts tokens that the model should generate.", - "type": "integer" + "name": { + "type": "string", + "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." }, - "includeThoughts": { - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", - "type": "boolean" + "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" }, - "thinkingLevel": { + "role": { + "type": "string", "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" ], + "description": "Required. The role granted by this permission.", "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." + "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." + ] + }, + "granteeType": { + "type": "string", + "enum": [ + "GRANTEE_TYPE_UNSPECIFIED", + "USER", + "GROUP", + "EVERYONE" ], - "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" + "description": "Optional. Immutable. The type of the grantee.", + "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." + ] } } }, - "RegisterFilesResponse": { - "description": "Response for `RegisterFiles`.", + "FileSearch": { "type": "object", + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", "properties": { - "files": { + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "type": "string" + }, + "fileSearchStoreNames": { + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", "items": { - "$ref": "#/components/schemas/File" + "type": "string" }, - "description": "The registered files to be used when calling GenerateContent.", "type": "array" + }, + "topK": { + "format": "int32", + "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "type": "integer" } } }, - "UploadToFileSearchStoreRequest": { - "description": "Request for `UploadToFileSearchStore`.", + "EmbedContentBatch": { "type": "object", + "description": "A resource representing a batch of `EmbedContent` requests.", "properties": { - "displayName": { - "description": "Optional. Display name of the created document.", + "state": { + "enum": [ + "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 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", + "description": "Output only. The state of the batch.", + "readOnly": true + }, + "createTime": { + "type": "string", + "description": "Output only. The time at which the batch was created.", + "readOnly": true, + "format": "google-datetime" + }, + "endTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The time at which the batch processing completed.", "type": "string" }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "output": { + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/EmbedContentBatchOutput", + "readOnly": true }, - "mimeType": { - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", + "batchStats": { + "readOnly": true, + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/EmbedContentBatchStats" + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" }, - "customMetadata": { - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the data.", - "type": "array" - } - } - }, - "FunctionResponseBlob": { - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", - "type": "object", - "properties": { - "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).", + "name": { + "type": "string", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "readOnly": true + }, + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" + }, + "priority": { + "format": "int64", + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "type": "string" + }, + "updateTime": { + "description": "Output only. The time at which the batch was last updated.", + "readOnly": true, + "format": "google-datetime", "type": "string" }, - "data": { - "description": "Raw bytes for media formats.", - "type": "string", - "format": "byte" + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" } } }, - "SpeechConfig": { - "description": "Config for speech generation and transcription.", - "type": "object", + "SemanticRetrieverChunk": { + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", "properties": { - "languageCode": { - "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", + "source": { + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", + "readOnly": true, "type": "string" }, - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" - }, - "voiceConfig": { - "description": "The configuration in case of single-voice output.", - "$ref": "#/components/schemas/VoiceConfig" + "chunk": { + "readOnly": true, + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "type": "string" } - } + }, + "type": "object" }, - "Hyperparameters": { - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "ModalityTokenCount": { "type": "object", + "description": "Represents token counting info for a single modality.", "properties": { - "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" - }, - "batchSize": { - "format": "int32", - "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" + "modality": { + "description": "The modality associated with this token count.", + "x-enum-descriptions": [ + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." + ], + "type": "string", + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" + ] }, - "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.", + "tokenCount": { "type": "integer", + "description": "Number of tokens.", "format": "int32" - }, - "learningRate": { - "format": "float", - "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" } } }, - "ImportFileRequest": { - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", - "type": "object", + "Document": { + "description": "A `Document` is a collection of `Chunk`s.", "properties": { - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "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" }, "customMetadata": { - "description": "Custom metadata to be associated with the file.", "type": "array", + "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", "items": { "$ref": "#/components/schemas/CustomMetadata" } }, - "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" - } - } - }, - "VideoMetadata": { - "type": "object", - "properties": { - "endOffset": { - "format": "google-duration", - "description": "Optional. The end offset of the video.", - "type": "string" - }, - "fps": { - "format": "double", - "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" - }, - "startOffset": { - "format": "google-duration", - "description": "Optional. The start offset of the video.", - "type": "string" - } - }, - "deprecated": true, - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content." - }, - "Maps": { - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", - "type": "object", - "properties": { - "text": { - "description": "Text description of the place answer.", + "sizeBytes": { + "readOnly": true, + "format": "int64", + "description": "Output only. The size of raw bytes ingested into the Document.", "type": "string" }, - "title": { - "description": "Title of the place.", - "type": "string" + "mimeType": { + "type": "string", + "readOnly": true, + "description": "Output only. The mime type of the Document." }, - "placeId": { - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", + "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" }, - "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" - } - } - }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { - "description": "Grounding support.", - "type": "object", - "properties": { - "renderedParts": { + "updateTime": { "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" - }, - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" - }, - "groundingChunkIndices": { - "items": { - "type": "integer", - "format": "int32" - }, - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", - "type": "array" - }, - "confidenceScores": { - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", - "type": "array", - "items": { - "format": "float", - "type": "number" - } - } - } - }, - "UrlContextMetadata": { - "description": "Metadata related to url context retrieval tool.", - "type": "object", - "properties": { - "urlMetadata": { - "items": { - "$ref": "#/components/schemas/UrlMetadata" - }, - "description": "List of url context.", - "type": "array" - } - } - }, - "FunctionCallingConfig": { - "description": "Configuration for specifying function calling behavior.", - "type": "object", - "properties": { - "allowedFunctionNames": { - "items": { - "type": "string" - }, - "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" - }, - "mode": { - "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\"." - ], - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was last updated.", "type": "string" - } - } - }, - "AudioResponseFormat": { - "description": "Configuration for audio output format.", - "type": "object", - "properties": { - "delivery": { - "description": "Optional. The delivery mode for the audio output.", + }, + "state": { "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Audio data is returned inline in the response.", - "Audio data is returned as a URI." - ], + "description": "Output only. Current state of the `Document`.", + "readOnly": true, "enum": [ - "DELIVERY_UNSPECIFIED", - "INLINE", - "URI" - ] - }, - "sampleRate": { - "format": "int32", - "description": "Optional. Sample rate in Hz.", - "type": "integer" - }, - "mimeType": { - "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." + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" ], - "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": [ + "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." ] }, - "bitRate": { - "format": "int32", - "description": "Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).", - "type": "integer" + "createTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was created.", + "type": "string" } - } + }, + "type": "object" }, - "TextResponseFormat": { - "description": "Configuration for text output format.", - "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.", "properties": { - "mimeType": { + "blocked": { + "description": "Was this content blocked because of this rating?", + "type": "boolean" + }, + "probability": { + "enum": [ + "HARM_PROBABILITY_UNSPECIFIED", + "NEGLIGIBLE", + "LOW", + "MEDIUM", + "HIGH" + ], + "type": "string", "x-enum-descriptions": [ - "Default value. This value is unused.", - "JSON output format.", - "Plain text output format." + "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." + }, + "category": { + "description": "Required. The category for this rating.", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true ], - "description": "Optional. The MIME type of the text output.", "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." + ], "enum": [ - "MIME_TYPE_UNSPECIFIED", - "APPLICATION_JSON", - "TEXT_PLAIN" + "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" ] - }, - "schema": { - "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." } - } + }, + "type": "object" }, - "CreateFileResponse": { - "description": "Response for `CreateFile`.", - "type": "object", + "AttributionSourceId": { + "description": "Identifier for the source contributing to this attribution.", "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" + "groundingPassage": { + "description": "Identifier for an inline passage.", + "$ref": "#/components/schemas/GroundingPassageId" + }, + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" } - } + }, + "type": "object" }, - "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", + "EmbedContentRequest": { + "description": "Request containing the `Content` for the model to embed.", "properties": { - "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.", + "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" }, - "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.", + "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" }, - "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" + "outputDimensionality": { + "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`).", + "deprecated": true, + "format": "int32", + "type": "integer" }, - "name": { - "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.", + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" + }, + "taskType": { "type": "string", - "readOnly": true + "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, + "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." + ] + }, + "embedContentConfig": { + "description": "Optional. Configuration for the EmbedContent request.", + "$ref": "#/components/schemas/EmbedContentConfig" } - } + }, + "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).", - "type": "object", + "ListOperationsResponse": { + "description": "The response message for Operations.ListOperations.", "properties": { - "code": { - "format": "int32", - "description": "The status code, which should be an enum value of google.rpc.Code.", - "type": "integer" - }, - "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.", + "nextPageToken": { + "description": "The standard List next-page token.", "type": "string" }, - "details": { - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", + "operations": { "type": "array", + "description": "A list of operations that matches the specified filter in the request.", "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - } - } - } - }, - "ImageSearch": { - "description": "Image search for grounding and related configurations.", - "type": "object", - "properties": {} - }, - "EmbedContentBatchStats": { - "description": "Stats about the batch.", - "type": "object", - "properties": { - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", - "type": "string", - "readOnly": true, - "format": "int64" - }, - "pendingRequestCount": { - "description": "Output only. The number of requests that are still pending processing.", - "type": "string", - "readOnly": true, - "format": "int64" - }, - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "type": "string", - "readOnly": true, - "format": "int64" + "$ref": "#/components/schemas/Operation" + } }, - "failedRequestCount": { - "description": "Output only. The number of requests that failed to be processed.", - "type": "string", - "readOnly": true, - "format": "int64" + "unreachable": { + "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.", + "items": { + "type": "string" + }, + "type": "array" } - } + }, + "type": "object" }, - "VideoFileMetadata": { - "description": "Metadata for a video `File`.", + "GoogleMaps": { "type": "object", + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", "properties": { - "videoDuration": { - "format": "google-duration", - "description": "Duration of the video.", - "type": "string" + "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" } } }, - "TransferOwnershipResponse": { - "description": "Response from `TransferOwnership`.", - "type": "object", - "properties": {} + "ListFilesResponse": { + "description": "Response for `ListFiles`.", + "properties": { + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "type": "string" + }, + "files": { + "type": "array", + "description": "The list of `File`s.", + "items": { + "$ref": "#/components/schemas/File" + } + } + }, + "type": "object" }, - "InlinedEmbedContentRequest": { - "description": "The request to be processed in the batch.", + "BatchEmbedContentsResponse": { "type": "object", + "description": "The response to a `BatchEmbedContentsRequest`.", "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "readOnly": true }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." + "embeddings": { + "type": "array", + "readOnly": true, + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", + "items": { + "$ref": "#/components/schemas/ContentEmbedding" } } } }, - "EmbedContentResponse": { - "description": "The response to an `EmbedContentRequest`.", + "InlinedResponse": { "type": "object", + "description": "The response to a single request in the batch.", "properties": { - "embedding": { + "metadata": { "readOnly": true, - "description": "Output only. The embedding generated from the input content.", - "$ref": "#/components/schemas/ContentEmbedding" + "description": "Output only. The metadata associated with the request.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "error": { + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status", "readOnly": true + }, + "response": { + "readOnly": true, + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/GenerateContentResponse" } } }, - "ListCorporaResponse": { - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", - "type": "object", + "AsyncBatchEmbedContentRequest": { + "description": "Request for an `AsyncBatchEmbedContent` operation.", "properties": { - "corpora": { - "items": { - "$ref": "#/components/schemas/Corpus" + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/EmbedContentBatch" + } + }, + "type": "object" + }, + "FunctionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "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" + }, + "args": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." }, - "description": "The returned corpora.", - "type": "array" + "description": "Optional. The function parameters and values in JSON object format." }, - "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.", + "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" } - } + }, + "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.", - "type": "object", + "ImageResponseFormat": { + "description": "Configuration for image output format.", "properties": { - "retirementTime": { - "description": "The time at which the model will be retired.", - "type": "string", - "format": "google-datetime" - }, - "modelStage": { - "type": "string", - "description": "The stage of the underlying model.", - "enumDeprecated": [ - false, - true, - false, - false, - false, - false, - true, - false - ], + "imageSize": { + "description": "Optional. The size of the image output.", "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." + "Default value. This value is unused.", + "512px image size.", + "1K image size.", + "2K image size.", + "4K image size." ], + "type": "string", "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" + "IMAGE_SIZE_UNSPECIFIED", + "IMAGE_SIZE_FIVE_TWELVE", + "IMAGE_SIZE_ONE_K", + "IMAGE_SIZE_TWO_K", + "IMAGE_SIZE_FOUR_K" ] }, - "message": { - "description": "A message explaining the model status.", + "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.", + "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": "string" - } - } - }, - "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": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" - } - } - }, - "LogprobsResult": { - "description": "Logprobs Result", - "type": "object", - "properties": { - "logProbabilitySum": { - "format": "float", - "description": "Sum of log probabilities for all tokens.", - "type": "number" }, - "topCandidates": { - "items": { - "$ref": "#/components/schemas/TopCandidates" - }, - "description": "Length = total number of decoding steps.", - "type": "array" + "mimeType": { + "type": "string", + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "IMAGE_JPEG" + ], + "description": "Optional. The MIME type of the image output.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "JPEG image format." + ] }, - "chosenCandidates": { - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", - "type": "array", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - } + "delivery": { + "enum": [ + "DELIVERY_UNSPECIFIED", + "INLINE", + "URI" + ], + "type": "string", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Image data is returned inline in the response.", + "Image data is returned as a URI." + ], + "description": "Optional. The delivery mode for the image output." } - } + }, + "type": "object" }, - "ReviewSnippet": { - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", - "type": "object", + "RetrievedContext": { + "description": "Chunk from context retrieved by the file search tool.", "properties": { - "reviewId": { - "description": "The ID of the review snippet.", + "mediaId": { + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", "type": "string" }, - "googleMapsUri": { - "description": "A link that corresponds to the user review on Google Maps.", + "text": { + "description": "Optional. Text of the chunk.", + "type": "string" + }, + "fileSearchStore": { + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", "type": "string" }, "title": { - "description": "Title of the review.", + "description": "Optional. Title of the document.", "type": "string" + }, + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", + "type": "string" + }, + "pageNumber": { + "format": "int32", + "description": "Optional. Page number of the retrieved context, if applicable.", + "type": "integer" + }, + "customMetadata": { + "description": "Optional. User-provided metadata about the retrieved context.", + "items": { + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + }, + "type": "array" } - } + }, + "type": "object" }, - "RetrievalConfig": { - "description": "Retrieval config.", + "ThinkingConfig": { "type": "object", + "description": "Config for thinking features.", "properties": { - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" + "includeThoughts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", + "type": "boolean" }, - "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).", + "thinkingBudget": { + "format": "int32", + "description": "The number of thoughts tokens that the model should generate.", + "type": "integer" + }, + "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.", + "enum": [ + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" + ], "type": "string" } } }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", + "PromptFeedback": { "type": "object", + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", "properties": { - "values": { - "description": "The string values of the metadata to store.", + "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." + ], + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "enum": [ + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ], + "type": "string" + }, + "safetyRatings": { "type": "array", + "description": "Ratings for safety of the prompt. There is at most one rating per category.", "items": { - "type": "string" + "$ref": "#/components/schemas/SafetyRating" } } } }, - "EmbedContentConfig": { - "description": "Configurations for the EmbedContent request.", + "GeneratedFile": { "type": "object", + "description": "A file generated on behalf of a user.", "properties": { - "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" - }, - "title": { - "description": "Optional. The title for the text.", + "mimeType": { + "description": "MIME type of the generatedFile.", "type": "string" }, - "audioTrackExtraction": { - "description": "Optional. Whether to extract audio from video content.", - "type": "boolean" - }, - "taskType": { - "description": "Optional. The task type of the embedding.", - "type": "string", + "state": { "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." + "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": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ] - }, - "documentOcr": { - "description": "Optional. Whether to enable OCR for document content.", - "type": "boolean" + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" + ], + "description": "Output only. The state of the GeneratedFile.", + "readOnly": true, + "type": "string" }, - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", - "type": "boolean" - } - } - }, - "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": { - "documents": { - "items": { - "$ref": "#/components/schemas/Document" - }, - "description": "The returned `Document`s.", - "type": "array" + "error": { + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "$ref": "#/components/schemas/Status" }, - "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.", + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", "type": "string" } } }, - "GenerateContentRequest": { - "description": "Request to generate a completion from the model.", - "type": "object", + "FileSearchStore": { + "description": "A `FileSearchStore` is a collection of `Document`s.", "properties": { - "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.", - "$ref": "#/components/schemas/ToolConfig" + "displayName": { + "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "type": "string" }, - "store": { - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", - "type": "boolean" + "updateTime": { + "type": "string", + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated." }, - "serviceTier": { - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ], - "description": "Optional. The service tier of the request.", + "name": { "type": "string", - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ] + "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", + "readOnly": true }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" + "activeDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", + "readOnly": true, + "format": "int64", + "type": "string" }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "failedDocumentsCount": { + "type": "string", + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "readOnly": true, + "format": "int64" + }, + "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" + }, + "sizeBytes": { + "type": "string", + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", + "readOnly": true, + "format": "int64" + }, + "createTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "readOnly": true, + "format": "google-datetime", "type": "string" }, - "safetySettings": { - "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", - "items": { - "$ref": "#/components/schemas/SafetySetting" - } - }, - "cachedContent": { - "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", + "pendingDocumentsCount": { + "readOnly": true, + "format": "int64", + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", "type": "string" + } + }, + "type": "object" + }, + "GenerateContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", + "properties": { + "responsesFile": { + "type": "string", + "readOnly": true, + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." }, - "contents": { - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", + "inlinedResponses": { + "readOnly": true, + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "$ref": "#/components/schemas/InlinedResponses" + } + }, + "type": "object" + }, + "Web": { + "description": "Chunk from the web.", + "properties": { + "uri": { + "type": "string", + "readOnly": true, + "description": "Output only. URI reference of the chunk." + }, + "title": { + "type": "string", + "readOnly": true, + "description": "Output only. Title of the chunk." + } + }, + "type": "object" + }, + "ContentEmbedding": { + "description": "A list of floats representing an embedding.", + "properties": { + "values": { "type": "array", + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", "items": { - "$ref": "#/components/schemas/Content" + "format": "float", + "type": "number" } }, - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" - }, - "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.", + "shape": { "type": "array", + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", "items": { - "$ref": "#/components/schemas/Tool" + "type": "integer", + "format": "int32" } } - } + }, + "type": "object" }, - "BatchEmbedContentsRequest": { - "description": "Batch request to get embeddings from the model for a list of prompts.", - "type": "object", + "ListCorporaResponse": { + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", "properties": { - "requests": { - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" + }, + "corpora": { "type": "array", + "description": "The returned corpora.", "items": { - "$ref": "#/components/schemas/EmbedContentRequest" + "$ref": "#/components/schemas/Corpus" } } - } + }, + "type": "object" }, - "UrlMetadata": { - "description": "Context of the a single url retrieval.", + "CreateFileResponse": { + "description": "Response for `CreateFile`.", + "properties": { + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" + } + }, + "type": "object" + }, + "GenerationConfig": { "type": "object", + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "properties": { - "retrievedUrl": { - "description": "Retrieved url by the tool.", + "responseFormat": { + "description": "Optional. Configuration for the response output format. Allows specifying output configuration per modality (text, audio, image) in a flat structure.", + "$ref": "#/components/schemas/ResponseFormatConfig" + }, + "stopSequences": { + "type": "array", + "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", + "items": { + "type": "string" + } + }, + "topK": { + "type": "integer", + "format": "int32", + "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests." + }, + "responseMimeType": { + "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types.", "type": "string" }, - "urlRetrievalStatus": { - "description": "Status of the url retrieval.", - "type": "string", + "imageConfig": { + "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", + "$ref": "#/components/schemas/ImageConfig" + }, + "seed": { + "type": "integer", + "format": "int32", + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed." + }, + "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.", + "format": "int32", + "type": "integer" + }, + "translationConfig": { + "description": "Optional. Config for translation.", + "$ref": "#/components/schemas/TranslationConfig" + }, + "responseSchema": { + "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", + "$ref": "#/components/schemas/Schema" + }, + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + }, + "mediaResolution": { + "description": "Optional. If specified, the media resolution specified will be used.", "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." + "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)." ], + "type": "string", "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" + "MEDIA_RESOLUTION_UNSPECIFIED", + "MEDIA_RESOLUTION_LOW", + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" ] - } - } - }, - "UrlContext": { - "description": "Tool to support URL context retrieval.", - "type": "object", - "properties": {} - }, - "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": { - "usageMetadata": { - "description": "Output only. Metadata on the generation requests' token usage.", - "$ref": "#/components/schemas/UsageMetadata", - "readOnly": true }, - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", + "type": "boolean" }, - "candidates": { + "topP": { + "type": "number", + "format": "float", + "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." + }, + "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.", "items": { - "$ref": "#/components/schemas/Candidate" + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "VIDEO" + ], + "type": "string", + "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." + ] }, - "description": "Candidate responses from the model.", "type": "array" }, - "responseId": { - "readOnly": true, - "description": "Output only. response_id is used to identify each response.", - "type": "string" + "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].", + "format": "float", + "type": "number" }, - "modelVersion": { - "description": "Output only. The model version used to generate the response.", - "type": "string", - "readOnly": true + "presencePenalty": { + "format": "float", + "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" + }, + "frequencyPenalty": { + "type": "number", + "format": "float", + "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." + }, + "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" + }, + "candidateCount": { + "type": "integer", + "format": "int32", + "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)" + }, + "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].", + "format": "int32", + "type": "integer" + }, + "responseLogprobs": { + "description": "Optional. If true, export the logprobs results in response.", + "type": "boolean" + }, + "speechConfig": { + "description": "Optional. The speech generation config.", + "$ref": "#/components/schemas/SpeechConfig" + } + } + }, + "ListDocumentsResponse": { + "type": "object", + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "properties": { + "documents": { + "description": "The returned `Document`s.", + "items": { + "$ref": "#/components/schemas/Document" + }, + "type": "array" }, - "modelStatus": { - "description": "Output only. The current model status of this model.", - "$ref": "#/components/schemas/ModelStatus", - "readOnly": true + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } } }, - "ChunkingConfig": { - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", + "FunctionResponseBlob": { "type": "object", + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" + "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" + }, + "data": { + "type": "string", + "description": "Raw bytes for media formats.", + "format": "byte" } } }, - "GroundingChunkStringList": { - "description": "A list of string values.", - "type": "object", + "Hyperparameters": { + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", "properties": { - "values": { - "description": "The string values of the list.", - "type": "array", - "items": { - "type": "string" - } + "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.", + "format": "float", + "type": "number" + }, + "epochCount": { + "type": "integer", + "format": "int32", + "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." + }, + "batchSize": { + "format": "int32", + "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" + }, + "learningRateMultiplier": { + "type": "number", + "format": "float", + "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": "object" }, - "GoogleMaps": { - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", + "FunctionResponsePart": { "type": "object", + "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.", "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" + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/FunctionResponseBlob" } } }, - "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", + "TextResponseFormat": { + "description": "Configuration for text output format.", "properties": { - "category": { - "description": "Required. The category for this rating.", - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], - "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." - ], - "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" - ], - "type": "string" - }, - "blocked": { - "description": "Was this content blocked because of this rating?", - "type": "boolean" - }, - "probability": { + "mimeType": { + "type": "string", "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", - "LOW", - "MEDIUM", - "HIGH" + "MIME_TYPE_UNSPECIFIED", + "APPLICATION_JSON", + "TEXT_PLAIN" ], + "description": "Optional. The MIME type of the text output.", "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" + "Default value. This value is unused.", + "JSON output format.", + "Plain text output format." + ] + }, + "schema": { + "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." } - } + }, + "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.", + "ListFileSearchStoresResponse": { "type": "object", + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "properties": { - "latitude": { - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", - "type": "number", - "format": "double" + "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" }, - "longitude": { - "format": "double", - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", - "type": "number" + "fileSearchStores": { + "description": "The returned rag_stores.", + "items": { + "$ref": "#/components/schemas/FileSearchStore" + }, + "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", - "type": "object", + "BatchStats": { + "description": "Stats about the batch.", "properties": { - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" - }, - "functionDeclarations": { - "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", - "type": "array", - "items": { - "$ref": "#/components/schemas/FunctionDeclaration" - } - }, - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" - }, - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", + "readOnly": true, + "format": "int64", + "type": "string" }, - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" + "requestCount": { + "readOnly": true, + "format": "int64", + "description": "Output only. The number of requests in the batch.", + "type": "string" }, - "googleMaps": { - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", - "$ref": "#/components/schemas/GoogleMaps" + "successfulRequestCount": { + "type": "string", + "description": "Output only. The number of requests that were successfully processed.", + "readOnly": true, + "format": "int64" }, - "mcpServers": { - "description": "Optional. MCP Servers to connect to.", - "type": "array", + "pendingRequestCount": { + "type": "string", + "description": "Output only. The number of requests that are still pending processing.", + "readOnly": true, + "format": "int64" + } + }, + "type": "object" + }, + "TuningExamples": { + "type": "object", + "description": "A set of tuning examples. Can be training or validation data.", + "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.", "items": { - "$ref": "#/components/schemas/McpServer" - } - }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" + "$ref": "#/components/schemas/TuningExample" + }, + "type": "array" + } + } + }, + "ListTunedModelsResponse": { + "type": "object", + "description": "Response from `ListTunedModels` containing a paginated list of Models.", + "properties": { + "tunedModels": { + "description": "The returned Models.", + "items": { + "$ref": "#/components/schemas/TunedModel" + }, + "type": "array" }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } } }, - "GenerateContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", + "ReviewSnippet": { "type": "object", + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", "properties": { - "responsesFile": { - "readOnly": true, - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "reviewId": { + "description": "The ID of the review snippet.", "type": "string" }, - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "$ref": "#/components/schemas/InlinedResponses", - "readOnly": true + "googleMapsUri": { + "description": "A link that corresponds to the user review on Google Maps.", + "type": "string" + }, + "title": { + "description": "Title of the review.", + "type": "string" } } }, - "GroundingChunkCustomMetadata": { - "description": "User provided metadata about the GroundingFact.", - "type": "object", + "CustomMetadata": { + "description": "User provided metadata stored as key-value pairs.", "properties": { "stringValue": { - "description": "Optional. The string value of the metadata.", + "description": "The string value of the metadata to store.", "type": "string" }, "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" }, "numericValue": { - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", "type": "number", + "description": "The numeric value of the metadata to store.", "format": "float" }, "key": { - "description": "The key of the metadata.", + "description": "Required. The key of the metadata to store.", "type": "string" } - } + }, + "type": "object" }, - "Web": { - "description": "Chunk from the web.", + "GoogleAiGenerativelanguageV1betaGroundingSupport": { "type": "object", + "description": "Grounding support.", "properties": { - "uri": { - "description": "Output only. URI reference of the chunk.", - "type": "string", - "readOnly": true + "groundingChunkIndices": { + "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).", + "items": { + "type": "integer", + "format": "int32" + }, + "type": "array" }, - "title": { + "segment": { + "description": "Segment of the content this support belongs to.", + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + }, + "confidenceScores": { + "type": "array", + "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", + "items": { + "format": "float", + "type": "number" + } + }, + "renderedParts": { "readOnly": true, - "description": "Output only. Title of the chunk.", - "type": "string" + "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", + "items": { + "format": "int32", + "type": "integer" + }, + "type": "array" } } }, - "GoogleSearchRetrieval": { - "description": "Tool to retrieve public web data for grounding, powered by Google.", - "type": "object", + "ToolResponse": { + "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" + "id": { + "description": "Optional. The identifier of the tool call this response is for.", + "type": "string" + }, + "response": { + "description": "Optional. The tool response.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + }, + "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." + ], + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], + "type": "string" } - } + }, + "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", - "type": "object", + "InlinedEmbedContentResponse": { + "description": "The response to a single request in the batch.", "properties": { - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" + "error": { + "readOnly": true, + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status" }, - "name": { - "description": "The name of the MCPServer.", + "response": { + "readOnly": true, + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/EmbedContentResponse" + }, + "metadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "readOnly": true, + "description": "Output only. The metadata associated with the request." + } + }, + "type": "object" + }, + "Image": { + "description": "Chunk from image search.", + "properties": { + "sourceUri": { + "description": "The web page URI for attribution.", + "type": "string" + }, + "imageUri": { + "description": "The image asset URL.", + "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\".", "type": "string" } - } + }, + "type": "object" }, - "CustomMetadata": { - "description": "User provided metadata stored as key-value pairs.", + "WhiteSpaceConfig": { "type": "object", + "description": "Configuration for a white space chunking algorithm [white space delimited].", "properties": { - "stringValue": { - "description": "The string value of the metadata to store.", + "maxOverlapTokens": { + "type": "integer", + "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "format": "int32" + }, + "maxTokensPerChunk": { + "type": "integer", + "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.", + "format": "int32" + } + } + }, + "VideoFileMetadata": { + "description": "Metadata for a video `File`.", + "properties": { + "videoDuration": { + "description": "Duration of the video.", + "format": "google-duration", "type": "string" + } + }, + "type": "object" + }, + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", + "properties": { + "urlMetadata": { + "description": "List of url context.", + "items": { + "$ref": "#/components/schemas/UrlMetadata" + }, + "type": "array" + } + }, + "type": "object" + }, + "ComputerUse": { + "type": "object", + "description": "Computer Use tool type.", + "properties": { + "environment": { + "description": "Required. The environment being operated.", + "x-enum-descriptions": [ + "Defaults to browser.", + "Operates in a web browser.", + "Operates in a mobile environment.", + "Operates in a desktop environment." + ], + "type": "string", + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER", + "ENVIRONMENT_MOBILE", + "ENVIRONMENT_DESKTOP" + ] }, - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" + "enablePromptInjectionDetection": { + "description": "Optional. Whether enable the prompt injection detection check on computer-use request.", + "type": "boolean" }, - "numericValue": { - "description": "The numeric value of the metadata to store.", - "type": "number", - "format": "float" + "excludedPredefinedFunctions": { + "type": "array", + "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.", + "items": { + "type": "string" + } }, - "key": { - "description": "Required. The key of the metadata to store.", - "type": "string" + "disabledSafetyPolicies": { + "description": "Optional. Disabled safety policies for computer use.", + "items": { + "enum": [ + "SAFETY_POLICY_UNSPECIFIED", + "FINANCIAL_TRANSACTIONS", + "SENSITIVE_DATA_MODIFICATION", + "COMMUNICATION_TOOL", + "ACCOUNT_CREATION", + "DATA_MODIFICATION", + "USER_CONSENT_MANAGEMENT", + "LEGAL_TERMS_AND_AGREEMENTS" + ], + "type": "string", + "x-enum-descriptions": [ + "Unspecified safety policy.", + "Safety policy for financial transactions.", + "Safety policy for sensitive data modification.", + "Safety policy for communication tools (e.g. Gmail, Chat, Meet).", + "Safety policy for account creation.", + "Safety policy for data modification.", + "Safety policy for user consent management.", + "Safety policy for legal terms and agreements." + ] + }, + "type": "array" } } }, - "RetrievedContext": { - "description": "Chunk from context retrieved by the file search tool.", - "type": "object", + "SpeechConfig": { + "description": "Config for speech generation and transcription.", "properties": { - "customMetadata": { - "description": "Optional. User-provided metadata about the retrieved context.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" - } - }, - "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" - }, - "title": { - "description": "Optional. Title of the document.", - "type": "string" + "multiSpeakerVoiceConfig": { + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" }, - "fileSearchStore": { - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", + "languageCode": { + "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", "type": "string" }, - "text": { - "description": "Optional. Text of the chunk.", - "type": "string" + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" } - } + }, + "type": "object" }, - "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.", + "TuningTask": { "type": "object", + "description": "Tuning tasks that create tuned models.", "properties": { - "reviewSnippets": { - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "trainingData": { + "description": "Required. Input only. Immutable. The model training data.", + "$ref": "#/components/schemas/Dataset" + }, + "snapshots": { "type": "array", + "description": "Output only. Metrics collected during tuning.", "items": { - "$ref": "#/components/schemas/ReviewSnippet" - } + "$ref": "#/components/schemas/TuningSnapshot" + }, + "readOnly": true + }, + "hyperparameters": { + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", + "$ref": "#/components/schemas/Hyperparameters" + }, + "startTime": { + "type": "string", + "description": "Output only. The timestamp when tuning this model started.", + "readOnly": true, + "format": "google-datetime" + }, + "completeTime": { + "type": "string", + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The timestamp when tuning this model completed." } } }, - "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": {} + "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", + "properties": { + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" + } + }, + "type": "object" }, - "ListCachedContentsResponse": { - "description": "Response with CachedContents list.", - "type": "object", + "CachedContentUsageMetadata": { + "description": "Metadata on the usage of the cached content.", "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", - "type": "string" - }, - "cachedContents": { - "items": { - "$ref": "#/components/schemas/CachedContent" - }, - "description": "List of cached contents.", - "type": "array" + "totalTokenCount": { + "type": "integer", + "format": "int32", + "description": "Total number of tokens that the cached content consumes." } - } + }, + "type": "object" }, - "RegisterFilesRequest": { - "description": "Request for `RegisterFiles`.", - "type": "object", + "InlinedEmbedContentRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "properties": { - "uris": { + "requests": { + "description": "Required. The requests to be processed in the batch.", "items": { - "type": "string" + "$ref": "#/components/schemas/InlinedEmbedContentRequest" }, - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", "type": "array" } - } - }, - "BatchStats": { - "description": "Stats about the batch.", - "type": "object", - "properties": { - "pendingRequestCount": { - "readOnly": true, - "format": "int64", - "description": "Output only. The number of requests that are still pending processing.", - "type": "string" - }, - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "type": "string", - "readOnly": true, - "format": "int64" - }, - "failedRequestCount": { - "readOnly": true, - "format": "int64", - "description": "Output only. The number of requests that failed to be processed.", - "type": "string" - }, - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", - "type": "string", - "readOnly": true, - "format": "int64" - } - } + }, + "type": "object" }, "GenerateContentBatch": { "description": "A resource representing a batch of `GenerateContent` requests.", - "type": "object", "properties": { - "name": { - "readOnly": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "type": "string" + "output": { + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/GenerateContentBatchOutput", + "readOnly": true }, - "updateTime": { - "description": "Output only. The time at which the batch was last updated.", - "type": "string", + "batchStats": { "readOnly": true, - "format": "google-datetime" + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/BatchStats" }, "createTime": { "description": "Output only. The time at which the batch was created.", - "type": "string", "readOnly": true, - "format": "google-datetime" - }, - "endTime": { - "description": "Output only. The time at which the batch processing completed.", - "type": "string", - "readOnly": true, - "format": "google-datetime" - }, - "displayName": { - "description": "Required. The user-defined name of this batch.", + "format": "google-datetime", "type": "string" }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" - }, "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", "description": "Output only. The state of the batch.", + "readOnly": true, "enum": [ "BATCH_STATE_UNSPECIFIED", "BATCH_STATE_PENDING", @@ -4930,46 +4797,125 @@ "BATCH_STATE_CANCELLED", "BATCH_STATE_EXPIRED" ], + "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." + ] + }, + "endTime": { + "type": "string", + "description": "Output only. The time at which the batch processing completed.", "readOnly": true, + "format": "google-datetime" + }, + "displayName": { + "description": "Required. The user-defined name of this batch.", "type": "string" }, "model": { "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" }, - "output": { - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/GenerateContentBatchOutput", - "readOnly": true + "updateTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated.", + "type": "string" }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/BatchStats", - "readOnly": true + "name": { + "readOnly": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "type": "string" + }, + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputConfig" }, "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" + "format": "int64", + "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": "object" + }, + "Status": { + "type": "object", + "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).", + "properties": { + "code": { + "description": "The status code, which should be an enum value of google.rpc.Code.", + "format": "int32", + "type": "integer" + }, + "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" + }, + "details": { + "type": "array", + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", + "items": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + } } } }, - "CreateFileRequest": { - "description": "Request for `CreateFile`.", - "type": "object", + "EmbedContentResponse": { + "description": "The response to an `EmbedContentRequest`.", "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" + "embedding": { + "readOnly": true, + "description": "Output only. The embedding generated from the input content.", + "$ref": "#/components/schemas/ContentEmbedding" + }, + "usageMetadata": { + "readOnly": true, + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata" } - } + }, + "type": "object" + }, + "TransferOwnershipRequest": { + "description": "Request to transfer the ownership of the tuned model.", + "properties": { + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + "type": "string" + } + }, + "type": "object" }, "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", + "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", "properties": { "category": { "type": "string", + "description": "Required. The category for this setting.", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ], "enum": [ "HARM_CATEGORY_UNSPECIFIED", "HARM_CATEGORY_DEROGATORY", @@ -4997,34 +4943,10 @@ "**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": "Required. The category for this setting.", - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true ] }, "threshold": { - "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" - ], "description": "Required. Controls the probability threshold at which harm is blocked.", - "type": "string", "x-enum-descriptions": [ "Threshold is unspecified.", "Content with NEGLIGIBLE will be allowed.", @@ -5032,810 +4954,902 @@ "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", "All content will be allowed.", "Turn off the safety filter." + ], + "type": "string", + "enum": [ + "HARM_BLOCK_THRESHOLD_UNSPECIFIED", + "BLOCK_LOW_AND_ABOVE", + "BLOCK_MEDIUM_AND_ABOVE", + "BLOCK_ONLY_HIGH", + "BLOCK_NONE", + "OFF" ] } } }, - "LogprobsResultCandidate": { - "description": "Candidate for the logprobs token and score.", + "InlinedEmbedContentRequest": { "type": "object", + "description": "The request to be processed in the batch.", "properties": { - "tokenId": { - "description": "The candidate\u2019s token id value.", - "type": "integer", - "format": "int32" - }, - "logProbability": { - "description": "The candidate's log probability.", - "type": "number", - "format": "float" + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } }, - "token": { - "description": "The candidate\u2019s token string value.", - "type": "string" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/EmbedContentRequest" } } }, - "InputEmbedContentConfig": { - "description": "Configures the input to the batch request.", + "InlinedRequests": { "type": "object", + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" - }, "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" + "type": "array", + "description": "Required. The requests to be processed in the batch.", + "items": { + "$ref": "#/components/schemas/InlinedRequest" + } } } }, - "GroundingPassageId": { - "description": "Identifier for a part within a `GroundingPassage`.", - "type": "object", + "Part": { + "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "properties": { - "passageId": { - "readOnly": true, - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", - "type": "string" + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" }, - "partIndex": { - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", - "type": "integer", - "readOnly": true, - "format": "int32" - } - } - }, - "EmbedContentBatch": { - "description": "A resource representing a batch of `EmbedContent` requests.", - "type": "object", - "properties": { - "displayName": { - "description": "Required. The user-defined name of this batch.", + "thoughtSignature": { + "type": "string", + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "format": "byte" + }, + "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." + } + }, + "text": { + "description": "Inline text.", "type": "string" }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" }, - "state": { - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ], - "description": "Output only. The state of the batch.", - "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 + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" }, - "name": { - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "type": "string", - "readOnly": true + "executableCode": { + "description": "Code generated by the model that is meant to be executed.", + "$ref": "#/components/schemas/ExecutableCode" }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The time at which the batch was last updated.", - "type": "string" + "functionResponse": { + "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", + "$ref": "#/components/schemas/FunctionResponse" }, - "createTime": { - "description": "Output only. The time at which the batch was created.", - "type": "string", - "readOnly": true, - "format": "google-datetime" + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" }, - "endTime": { - "description": "Output only. The time at which the batch processing completed.", - "type": "string", - "readOnly": true, - "format": "google-datetime" + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" + }, + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" + }, + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" + }, + "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`.", + "$ref": "#/components/schemas/ToolResponse" + }, + "toolCall": { + "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", + "$ref": "#/components/schemas/ToolCall" + } + }, + "type": "object" + }, + "GroundingMetadata": { + "type": "object", + "description": "Metadata returned to client when grounding is enabled.", + "properties": { + "groundingSupports": { + "description": "List of grounding support.", + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + }, + "type": "array" + }, + "retrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "$ref": "#/components/schemas/RetrievalMetadata" + }, + "groundingChunks": { + "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.", + "items": { + "$ref": "#/components/schemas/GroundingChunk" + }, + "type": "array" }, - "priority": { - "format": "int64", - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "type": "string" + "webSearchQueries": { + "description": "Web search queries for the following-up web search.", + "items": { + "type": "string" + }, + "type": "array" }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" + "searchEntryPoint": { + "description": "Optional. Google search entry for the following-up web searches.", + "$ref": "#/components/schemas/SearchEntryPoint" }, - "output": { - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/EmbedContentBatchOutput", - "readOnly": true + "imageSearchQueries": { + "type": "array", + "description": "Image search queries used for grounding.", + "items": { + "type": "string" + } }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/EmbedContentBatchStats", - "readOnly": true - } - } - }, - "BatchGenerateContentRequest": { - "description": "Request for a `BatchGenerateContent` operation.", - "type": "object", - "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/GenerateContentBatch" + "googleMapsWidgetContextToken": { + "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", + "type": "string" } } }, - "DynamicRetrievalConfig": { - "description": "Describes the options to customize dynamic retrieval.", + "CountTokensRequest": { "type": "object", + "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", "properties": { - "mode": { - "enum": [ - "MODE_UNSPECIFIED", - "MODE_DYNAMIC" - ], - "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." - ], - "description": "The mode of the predictor to be used in dynamic retrieval.", - "type": "string" + "contents": { + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", + "items": { + "$ref": "#/components/schemas/Content" + }, + "type": "array" }, - "dynamicThreshold": { - "format": "float", - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "type": "number" + "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.", + "$ref": "#/components/schemas/GenerateContentRequest" } } }, - "AsyncBatchEmbedContentRequest": { - "description": "Request for an `AsyncBatchEmbedContent` operation.", + "GoogleSearch": { "type": "object", + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" + "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).", + "$ref": "#/components/schemas/Interval" + }, + "searchTypes": { + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", + "$ref": "#/components/schemas/SearchTypes" } } }, - "InlinedEmbedContentRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "CreateFileRequest": { "type": "object", + "description": "Request for `CreateFile`.", "properties": { - "requests": { - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" - }, - "description": "Required. The requests to be processed in the batch.", - "type": "array" + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" } } }, - "ComputerUse": { - "description": "Computer Use tool type.", - "type": "object", + "CodeExecutionResult": { + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", "properties": { - "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" - }, - "enablePromptInjectionDetection": { - "description": "Optional. Whether enable the prompt injection detection check on computer-use request.", - "type": "boolean" - }, - "environment": { - "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser.", - "Operates in a mobile environment.", - "Operates in a desktop environment." + "outcome": { + "enum": [ + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" ], - "description": "Required. The environment being operated.", "type": "string", - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER", - "ENVIRONMENT_MOBILE", - "ENVIRONMENT_DESKTOP" - ] + "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." }, - "disabledSafetyPolicies": { - "items": { - "enum": [ - "SAFETY_POLICY_UNSPECIFIED", - "FINANCIAL_TRANSACTIONS", - "SENSITIVE_DATA_MODIFICATION", - "COMMUNICATION_TOOL", - "ACCOUNT_CREATION", - "DATA_MODIFICATION", - "USER_CONSENT_MANAGEMENT", - "LEGAL_TERMS_AND_AGREEMENTS" - ], - "type": "string", - "x-enum-descriptions": [ - "Unspecified safety policy.", - "Safety policy for financial transactions.", - "Safety policy for sensitive data modification.", - "Safety policy for communication tools (e.g. Gmail, Chat, Meet).", - "Safety policy for account creation.", - "Safety policy for data modification.", - "Safety policy for user consent management.", - "Safety policy for legal terms and agreements." - ] - }, - "description": "Optional. Disabled safety policies for computer use.", - "type": "array" + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "type": "string" + }, + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "type": "string" } - } + }, + "type": "object" }, - "File": { - "description": "A file uploaded to the API. Next ID: 15", + "GroundingPassageId": { "type": "object", + "description": "Identifier for a part within a `GroundingPassage`.", "properties": { - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` was last updated.", - "type": "string" - }, - "createTime": { - "description": "Output only. The timestamp of when the `File` was created.", - "type": "string", - "readOnly": true, - "format": "google-datetime" - }, - "expirationTime": { - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "passageId": { "type": "string", "readOnly": true, - "format": "google-datetime" - }, - "mimeType": { - "description": "Output only. MIME type of the file.", - "type": "string", - "readOnly": true - }, - "downloadUri": { - "description": "Output only. The download uri of the `File`.", - "type": "string", - "readOnly": true - }, - "videoMetadata": { - "description": "Output only. Metadata for a video.", - "$ref": "#/components/schemas/VideoFileMetadata", - "readOnly": true - }, - "source": { - "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" - ], - "description": "Source of the File.", - "type": "string", - "x-enum-descriptions": [ - "Used if source is not specified.", - "Indicates the file is uploaded by the user.", - "Indicates the file is generated by Google.", - "Indicates the file is a registered, i.e. a Google Cloud Storage file." - ] + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`." }, - "uri": { + "partIndex": { + "type": "integer", + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", "readOnly": true, - "description": "Output only. The uri of the `File`.", + "format": "int32" + } + } + }, + "SpeakerVoiceConfig": { + "description": "The configuration for a single speaker in a multi speaker setup.", + "properties": { + "speaker": { + "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", "type": "string" }, - "name": { - "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", + "voiceConfig": { + "description": "Required. The configuration for the voice to use.", + "$ref": "#/components/schemas/VoiceConfig" + } + }, + "type": "object" + }, + "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.", + "properties": { + "code": { + "description": "Required. The code to be executed.", "type": "string" }, - "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\"", + "id": { + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", "type": "string" }, - "state": { - "readOnly": true, - "type": "string", + "language": { "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" + "LANGUAGE_UNSPECIFIED", + "PYTHON" ], + "type": "string", "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." + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." + ], + "description": "Required. Programming language of the `code`." + } + }, + "type": "object" + }, + "AudioResponseFormat": { + "type": "object", + "description": "Configuration for audio output format.", + "properties": { + "mimeType": { + "description": "Optional. The MIME type of the audio output.", + "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." ], - "description": "Output only. Processing state of the File." + "type": "string", + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "AUDIO_MP3", + "AUDIO_OGG_OPUS", + "AUDIO_L16", + "AUDIO_WAV", + "AUDIO_ALAW", + "AUDIO_MULAW" + ] }, - "sizeBytes": { - "description": "Output only. Size of the file in bytes.", + "delivery": { + "enum": [ + "DELIVERY_UNSPECIFIED", + "INLINE", + "URI" + ], "type": "string", - "readOnly": true, - "format": "int64" + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Audio data is returned inline in the response.", + "Audio data is returned as a URI." + ], + "description": "Optional. The delivery mode for the audio output." }, - "error": { - "readOnly": true, - "description": "Output only. Error status if File processing failed.", - "$ref": "#/components/schemas/Status" + "sampleRate": { + "description": "Optional. Sample rate in Hz.", + "format": "int32", + "type": "integer" }, - "sha256Hash": { - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "type": "string", - "readOnly": true, - "format": "byte" + "bitRate": { + "format": "int32", + "description": "Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).", + "type": "integer" } } }, - "GroundingChunk": { - "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", + "ListModelsResponse": { "type": "object", + "description": "Response from `ListModel` containing a paginated list of Models.", "properties": { - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" - }, - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" - }, - "maps": { - "description": "Optional. Grounding chunk from Google Maps.", - "$ref": "#/components/schemas/Maps" + "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" }, - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" + "models": { + "description": "The returned Models.", + "items": { + "$ref": "#/components/schemas/Model" + }, + "type": "array" } } }, - "CustomLongRunningOperation": { + "Operation": { "type": "object", + "description": "This resource represents a long-running operation that is the result of a network API call.", "properties": { - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" + "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" }, "response": { + "type": "object", "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" - }, - "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" + "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`." }, "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": { + "type": "object", "additionalProperties": { "description": "Properties of the object. Contains field @type with type URL." }, - "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" + "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." + }, + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" } } }, - "TuningExample": { - "description": "A single example for tuning.", - "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.", "properties": { - "textInput": { - "description": "Optional. Text model input.", - "type": "string" + "latitude": { + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "format": "double", + "type": "number" }, - "output": { - "description": "Required. The expected model output.", - "type": "string" + "longitude": { + "format": "double", + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "type": "number" } - } + }, + "type": "object" }, - "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", + "GroundingChunkStringList": { + "description": "A list of string values.", "properties": { - "parts": { + "values": { + "type": "array", + "description": "The string values of the list.", "items": { - "$ref": "#/components/schemas/Part" - }, - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", - "type": "array" - }, - "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" + "type": "string" + } } - } + }, + "type": "object" }, - "ModalityTokenCount": { - "description": "Represents token counting info for a single modality.", - "type": "object", + "ImageSearch": { + "description": "Image search for grounding and related configurations.", + "properties": {}, + "type": "object" + }, + "CitationSource": { + "description": "A citation to a source for a portion of a specific response.", "properties": { - "tokenCount": { - "description": "Number of tokens.", + "endIndex": { + "format": "int32", + "description": "Optional. End of the attributed segment, exclusive.", + "type": "integer" + }, + "startIndex": { "type": "integer", - "format": "int32" + "format": "int32", + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes." }, - "modality": { - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ], - "description": "The modality associated with this token count.", - "type": "string", - "x-enum-descriptions": [ - "Unspecified modality.", - "Plain text.", - "Image.", - "Video.", - "Audio.", - "Document, e.g. PDF." - ] - } - } - }, - "EmbedContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", - "type": "object", - "properties": { - "responsesFile": { - "readOnly": true, - "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.", + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", "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/InlinedEmbedContentResponses" + "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" } - } + }, + "type": "object" }, - "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", + "SearchEntryPoint": { + "description": "Google search entry point.", "properties": { - "id": { - "description": "Optional. The identifier of the tool call this response is for.", + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", "type": "string" }, - "response": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The tool response.", - "type": "object" - }, - "toolType": { - "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", - "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." - ] + "sdkBlob": { + "format": "byte", + "description": "Optional. Base64 encoded JSON representing array of tuple.", + "type": "string" } - } + }, + "type": "object" }, - "EmbeddingUsageMetadata": { - "description": "Metadata on the usage of the embedding request.", - "type": "object", + "EmbedContentBatchStats": { + "description": "Stats about the batch.", "properties": { - "promptTokenCount": { + "requestCount": { + "type": "string", "readOnly": true, - "format": "int32", - "description": "Output only. Number of tokens in the prompt.", - "type": "integer" + "format": "int64", + "description": "Output only. The number of requests in the batch." }, - "promptTokenDetails": { - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array", + "successfulRequestCount": { + "type": "string", + "description": "Output only. The number of requests that were successfully processed.", "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "format": "int64" + }, + "pendingRequestCount": { + "readOnly": true, + "format": "int64", + "description": "Output only. The number of requests that are still pending processing.", + "type": "string" + }, + "failedRequestCount": { + "type": "string", + "description": "Output only. The number of requests that failed to be processed.", + "readOnly": true, + "format": "int64" } - } + }, + "type": "object" }, - "CountTokensRequest": { - "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", - "type": "object", + "FunctionCallingConfig": { + "description": "Configuration for specifying function calling behavior.", "properties": { - "contents": { - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Content" - } + "mode": { + "enum": [ + "MODE_UNSPECIFIED", + "AUTO", + "ANY", + "NONE", + "VALIDATED" + ], + "type": "string", + "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\"." + ], + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO." }, - "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.", - "$ref": "#/components/schemas/GenerateContentRequest" + "allowedFunctionNames": { + "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", + "items": { + "type": "string" + }, + "type": "array" } - } + }, + "type": "object" }, - "Document": { - "description": "A `Document` is a collection of `Chunk`s.", - "type": "object", + "FunctionResponse": { + "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", "properties": { - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Document` was last updated.", - "type": "string" + "response": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model. Multimedia can be included by using a subobject containing a single \"$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." }, - "sizeBytes": { - "readOnly": true, - "format": "int64", - "description": "Output only. The size of raw bytes ingested into the Document.", + "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" + }, + "scheduling": { + "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." + ], + "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.", + "enum": [ + "SCHEDULING_UNSPECIFIED", + "SILENT", + "WHEN_IDLE", + "INTERRUPT" + ], "type": "string" }, "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`", + "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" }, - "mimeType": { - "readOnly": true, - "description": "Output only. The mime type of the Document.", + "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" }, - "customMetadata": { - "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", + "parts": { "type": "array", + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", "items": { - "$ref": "#/components/schemas/CustomMetadata" + "$ref": "#/components/schemas/FunctionResponsePart" } + } + }, + "type": "object" + }, + "StreamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "properties": { + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "type": "string" }, - "createTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Document` was created.", + "timeout": { + "format": "google-duration", + "description": "HTTP timeout for regular operations.", "type": "string" }, - "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\"", + "headers": { + "type": "object", + "additionalProperties": { + "type": "string" + }, + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed." + }, + "sseReadTimeout": { + "format": "google-duration", + "description": "Timeout for SSE read operations.", "type": "string" }, - "state": { - "description": "Output only. Current state of the `Document`.", - "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" - ], - "type": "string", - "readOnly": true + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" } - } + }, + "type": "object" }, - "ImageResponseFormat": { - "description": "Configuration for image output format.", + "LogprobsResultCandidate": { "type": "object", + "description": "Candidate for the logprobs token and score.", "properties": { - "aspectRatio": { - "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" - ], - "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." - ] + "logProbability": { + "type": "number", + "description": "The candidate's log probability.", + "format": "float" }, - "imageSize": { - "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." - ], - "description": "Optional. The size of the image output.", + "token": { + "description": "The candidate\u2019s token string value.", + "type": "string" + }, + "tokenId": { + "type": "integer", + "description": "The candidate\u2019s token id value.", + "format": "int32" + } + } + }, + "PlaceAnswerSources": { + "type": "object", + "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.", + "properties": { + "reviewSnippets": { + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "items": { + "$ref": "#/components/schemas/ReviewSnippet" + }, + "type": "array" + } + } + }, + "VideoMetadata": { + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "type": "object", + "deprecated": true, + "properties": { + "startOffset": { + "description": "Optional. The start offset of the video.", + "format": "google-duration", "type": "string" }, - "delivery": { - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Image data is returned inline in the response.", - "Image data is returned as a URI." - ], - "description": "Optional. The delivery mode for the image output.", + "endOffset": { "type": "string", - "enum": [ - "DELIVERY_UNSPECIFIED", - "INLINE", - "URI" - ] + "format": "google-duration", + "description": "Optional. The end offset of the video." }, - "mimeType": { - "description": "Optional. The MIME type of the image output.", - "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "JPEG image format." - ], - "enum": [ - "MIME_TYPE_UNSPECIFIED", - "IMAGE_JPEG" - ] + "fps": { + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", + "format": "double", + "type": "number" } } }, - "ListModelsResponse": { - "description": "Response from `ListModel` containing a paginated list of Models.", - "type": "object", + "RegisterFilesResponse": { + "description": "Response for `RegisterFiles`.", "properties": { - "models": { + "files": { + "description": "The registered files to be used when calling GenerateContent.", "items": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/File" }, - "description": "The returned Models.", "type": "array" + } + }, + "type": "object" + }, + "McpServer": { + "type": "object", + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", + "properties": { + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" }, - "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.", + "name": { + "description": "The name of the MCPServer.", "type": "string" } } }, - "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.", + "FunctionDeclaration": { "type": "object", + "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.", "properties": { - "id": { - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", - "type": "string" - }, - "code": { - "description": "Required. The code to be executed.", - "type": "string" - }, - "language": { + "behavior": { "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" ], - "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." - ] + "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." + }, + "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" + }, + "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.", + "type": "string" + }, + "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.", + "$ref": "#/components/schemas/Schema" + }, + "response": { + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", + "$ref": "#/components/schemas/Schema" + }, + "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`." } } }, - "CodeExecutionResult": { - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", + "RetrievalConfig": { "type": "object", + "description": "Retrieval config.", "properties": { - "id": { - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "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" }, - "outcome": { + "latLng": { + "description": "Optional. The location of the user.", + "$ref": "#/components/schemas/LatLng" + } + } + }, + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", + "properties": { + "speakerVoiceConfigs": { + "description": "Required. All the enabled speaker voices.", + "items": { + "$ref": "#/components/schemas/SpeakerVoiceConfig" + }, + "type": "array" + } + }, + "type": "object" + }, + "RegisterFilesRequest": { + "description": "Request for `RegisterFiles`.", + "properties": { + "uris": { + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "items": { + "type": "string" + }, + "type": "array" + } + }, + "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); }", + "properties": {}, + "type": "object" + }, + "InputEmbedContentConfig": { + "description": "Configures the input to the batch request.", + "properties": { + "fileName": { + "description": "The name of the `File` containing the input requests.", + "type": "string" + }, + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" + } + }, + "type": "object" + }, + "GenerateContentRequest": { + "type": "object", + "description": "Request to generate a completion from the model.", + "properties": { + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "contents": { + "type": "array", + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", + "items": { + "$ref": "#/components/schemas/Content" + } + }, + "generationConfig": { + "description": "Optional. Configuration options for model generation and outputs.", + "$ref": "#/components/schemas/GenerationConfig" + }, + "store": { + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", + "type": "boolean" + }, + "safetySettings": { + "type": "array", + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", + "items": { + "$ref": "#/components/schemas/SafetySetting" + } + }, + "serviceTier": { + "type": "string", "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" + "unspecified", + "standard", + "flex", + "priority" ], + "description": "Optional. The service tier of the request.", "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" + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ] }, - "output": { - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "systemInstruction": { + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", + "$ref": "#/components/schemas/Content" + }, + "tools": { + "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", + "items": { + "$ref": "#/components/schemas/Tool" + }, + "type": "array" + }, + "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.", + "$ref": "#/components/schemas/ToolConfig" + }, + "cachedContent": { + "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", "type": "string" } } }, - "FileSearch": { - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", + "EmbedContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", + "properties": { + "responsesFile": { + "type": "string", + "readOnly": true, + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." + }, + "inlinedResponses": { + "readOnly": true, + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "$ref": "#/components/schemas/InlinedEmbedContentResponses" + } + }, + "type": "object" + }, + "TuningSnapshot": { "type": "object", + "description": "Record for a single tuning step.", "properties": { - "metadataFilter": { - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "computeTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The timestamp when this metric was computed.", "type": "string" }, - "topK": { - "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "step": { + "readOnly": true, + "format": "int32", + "description": "Output only. The tuning step.", + "type": "integer" + }, + "epoch": { "type": "integer", - "format": "int32" + "readOnly": true, + "format": "int32", + "description": "Output only. The epoch this step was part of." }, - "fileSearchStoreNames": { - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", - "type": "array", - "items": { - "type": "string" - } + "meanLoss": { + "readOnly": true, + "format": "float", + "description": "Output only. The mean loss of the training examples for this step.", + "type": "number" } } }, "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", + "description": "Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality.", "properties": { "text": { "description": "Optional. Text output format configuration.", @@ -5851,1078 +5865,1064 @@ } } }, - "PrebuiltVoiceConfig": { - "description": "The configuration for the prebuilt speaker to use.", + "UrlContext": { + "type": "object", + "description": "Tool to support URL context retrieval.", + "properties": {} + }, + "InputConfig": { "type": "object", + "description": "Configures the input to the batch request.", "properties": { - "voiceName": { - "description": "The name of the preset voice to use.", + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" + }, + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedRequests" } } }, - "ToolConfig": { - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "FileData": { "type": "object", + "description": "URI based data.", "properties": { - "functionCallingConfig": { - "description": "Optional. Function calling config.", - "$ref": "#/components/schemas/FunctionCallingConfig" - }, - "retrievalConfig": { - "description": "Optional. Retrieval config.", - "$ref": "#/components/schemas/RetrievalConfig" + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", + "type": "string" }, - "includeServerSideToolInvocations": { - "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", - "type": "boolean" + "fileUri": { + "description": "Required. URI.", + "type": "string" } } }, - "ListPermissionsResponse": { - "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "Content": { "type": "object", + "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", "properties": { - "permissions": { + "role": { + "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "type": "string" + }, + "parts": { + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", "items": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Part" }, - "description": "Returned permissions.", "type": "array" - }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" } } }, - "ListTunedModelsResponse": { - "description": "Response from `ListTunedModels` containing a paginated list of Models.", + "TopCandidates": { "type": "object", + "description": "Candidates with top log probabilities at each decoding step.", "properties": { - "tunedModels": { - "description": "The returned Models.", + "candidates": { "type": "array", + "description": "Sorted by log probability in descending order.", "items": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/LogprobsResultCandidate" } - }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" } } }, - "SearchTypes": { - "description": "Different types of search that can be enabled on the GoogleSearch tool.", + "Model": { "type": "object", + "description": "Information about a Generative Language Model.", "properties": { - "webSearch": { - "description": "Optional. Enables web search. Only text results are returned.", - "$ref": "#/components/schemas/WebSearch" + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "type": "string" }, - "imageSearch": { - "description": "Optional. Enables image search. Image bytes are returned.", - "$ref": "#/components/schemas/ImageSearch" - } - } - }, - "Candidate": { - "description": "A response candidate generated from the model.", - "type": "object", - "properties": { - "tokenCount": { - "description": "Output only. Token count for this candidate.", + "thinking": { + "description": "Whether the model supports thinking.", + "type": "boolean" + }, + "outputTokenLimit": { "type": "integer", - "readOnly": true, + "description": "Maximum number of output tokens available for this model.", "format": "int32" }, - "avgLogprobs": { - "description": "Output only. Average log probability score of the candidate.", - "type": "number", - "readOnly": true, - "format": "double" + "displayName": { + "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", + "type": "string" }, - "citationMetadata": { - "readOnly": true, - "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", - "$ref": "#/components/schemas/CitationMetadata" + "description": { + "description": "A short description of the model.", + "type": "string" }, - "logprobsResult": { - "readOnly": true, - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", - "$ref": "#/components/schemas/LogprobsResult" + "topK": { + "type": "integer", + "format": "int32", + "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter." }, - "urlContextMetadata": { - "description": "Output only. Metadata related to url context retrieval tool.", - "$ref": "#/components/schemas/UrlContextMetadata", - "readOnly": true + "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" }, - "content": { - "description": "Output only. Generated content returned from the model.", - "$ref": "#/components/schemas/Content", - "readOnly": true + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "type": "string" }, - "finishMessage": { - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", - "type": "string", - "readOnly": true + "maxTemperature": { + "format": "float", + "description": "The maximum temperature this model can use.", + "type": "number" }, - "finishReason": { - "type": "string", - "readOnly": true, - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", - "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." - ], - "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" - ] + "inputTokenLimit": { + "type": "integer", + "description": "Maximum number of input tokens allowed for this model.", + "format": "int32" }, - "groundingMetadata": { - "readOnly": true, - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", - "$ref": "#/components/schemas/GroundingMetadata" + "topP": { + "type": "number", + "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.", + "format": "float" }, - "safetyRatings": { + "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.", + "format": "float", + "type": "number" + }, + "supportedGenerationMethods": { + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", "items": { - "$ref": "#/components/schemas/SafetyRating" + "type": "string" }, - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", "type": "array" - }, - "index": { + } + } + }, + "CodeExecution": { + "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", + "properties": {}, + "type": "object" + }, + "GroundingAttribution": { + "type": "object", + "description": "Attribution for a source that contributed to an answer.", + "properties": { + "sourceId": { "readOnly": true, - "format": "int32", - "description": "Output only. Index of the candidate in the list of response candidates.", - "type": "integer" + "description": "Output only. Identifier for the source contributing to this attribution.", + "$ref": "#/components/schemas/AttributionSourceId" }, - "groundingAttributions": { - "readOnly": true, - "items": { - "$ref": "#/components/schemas/GroundingAttribution" - }, - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", - "type": "array" + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" } } }, - "SearchEntryPoint": { - "description": "Google search entry point.", + "UrlMetadata": { "type": "object", + "description": "Context of the a single url retrieval.", "properties": { - "renderedContent": { - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", + "retrievedUrl": { + "description": "Retrieved url by the tool.", "type": "string" }, - "sdkBlob": { - "format": "byte", - "description": "Optional. Base64 encoded JSON representing array of tuple.", - "type": "string" + "urlRetrievalStatus": { + "enum": [ + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" + ], + "type": "string", + "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." + ], + "description": "Status of the url retrieval." } } }, - "InlinedEmbedContentResponses": { - "description": "The responses to the requests in the batch.", - "type": "object", + "CitationMetadata": { + "description": "A collection of source attributions for a piece of content.", "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", + "citationSources": { "type": "array", - "readOnly": true, + "description": "Citations to sources for a specific response.", "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" + "$ref": "#/components/schemas/CitationSource" } } - } + }, + "type": "object" }, - "InlinedResponses": { - "description": "The responses to the requests in the batch.", + "BatchEmbedContentsRequest": { + "description": "Batch request to get embeddings from the model for a list of prompts.", + "properties": { + "requests": { + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", + "items": { + "$ref": "#/components/schemas/EmbedContentRequest" + }, + "type": "array" + } + }, + "type": "object" + }, + "CountTokensResponse": { "type": "object", + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", "properties": { - "inlinedResponses": { + "cacheTokensDetails": { + "type": "array", "readOnly": true, + "description": "Output only. List of modalities that were processed in the cached content.", "items": { - "$ref": "#/components/schemas/InlinedResponse" + "$ref": "#/components/schemas/ModalityTokenCount" + } + }, + "totalTokens": { + "type": "integer", + "format": "int32", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative." + }, + "promptTokensDetails": { + "readOnly": true, + "description": "Output only. List of modalities that were processed in the request input.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "Output only. The responses to the requests in the batch.", "type": "array" + }, + "cachedContentTokenCount": { + "type": "integer", + "format": "int32", + "description": "Number of tokens in the cached part of the prompt (the cached content)." } } }, - "TuningExamples": { - "description": "A set of tuning examples. Can be training or validation data.", + "PrebuiltVoiceConfig": { "type": "object", + "description": "The configuration for the prebuilt speaker to use.", "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.", + "voiceName": { + "description": "The name of the preset voice to use.", + "type": "string" + } + } + }, + "ListCachedContentsResponse": { + "description": "Response with CachedContents list.", + "properties": { + "cachedContents": { "type": "array", + "description": "List of cached contents.", "items": { - "$ref": "#/components/schemas/TuningExample" + "$ref": "#/components/schemas/CachedContent" } + }, + "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" } - } + }, + "type": "object" }, - "TuningTask": { - "description": "Tuning tasks that create tuned models.", - "type": "object", + "TunedModel": { + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", "properties": { - "startTime": { - "description": "Output only. The timestamp when tuning this model started.", + "tuningTask": { + "description": "Required. The tuning task that creates the tuned model.", + "$ref": "#/components/schemas/TuningTask" + }, + "readerProjectNumbers": { + "description": "Optional. List of project numbers that have read access to the tuned model.", + "items": { + "type": "string", + "format": "int64" + }, + "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.", + "format": "float", + "type": "number" + }, + "temperature": { + "type": "number", + "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.", + "format": "float" + }, + "baseModel": { + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "type": "string" + }, + "state": { + "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" + ], + "readOnly": true, + "description": "Output only. The state of the tuned model.", + "type": "string" + }, + "createTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The timestamp when this model was created.", + "type": "string" + }, + "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" + }, + "description": { + "description": "Optional. A short description of this model.", + "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.", + "format": "int32", + "type": "integer" + }, + "name": { "type": "string", "readOnly": true, - "format": "google-datetime" + "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`" }, - "completeTime": { - "description": "Output only. The timestamp when tuning this model completed.", + "updateTime": { "type": "string", + "description": "Output only. The timestamp when this model was updated.", "readOnly": true, "format": "google-datetime" }, - "snapshots": { + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" + } + }, + "type": "object" + }, + "TunedModelSource": { + "type": "object", + "description": "Tuned model as a source for training a new model.", + "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": { + "type": "string", "readOnly": true, - "items": { - "$ref": "#/components/schemas/TuningSnapshot" - }, - "description": "Output only. Metrics collected during tuning.", - "type": "array" + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`" + } + } + }, + "EmbedContentConfig": { + "type": "object", + "description": "Configurations for the EmbedContent request.", + "properties": { + "documentOcr": { + "description": "Optional. Whether to enable OCR for document content.", + "type": "boolean" + }, + "audioTrackExtraction": { + "description": "Optional. Whether to extract audio from video content.", + "type": "boolean" + }, + "title": { + "description": "Optional. The title for the text.", + "type": "string" + }, + "taskType": { + "description": "Optional. The task type of the embedding.", + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ], + "type": "string", + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ] }, - "hyperparameters": { - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", - "$ref": "#/components/schemas/Hyperparameters" + "outputDimensionality": { + "format": "int32", + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", + "type": "integer" }, - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" + "autoTruncate": { + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", + "type": "boolean" } } }, - "TunedModelSource": { - "description": "Tuned model as a source for training a new model.", + "TuningExample": { "type": "object", + "description": "A single example for tuning.", "properties": { - "baseModel": { - "readOnly": true, - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", + "textInput": { + "description": "Optional. Text model input.", "type": "string" }, - "tunedModel": { - "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", + "output": { + "description": "Required. The expected model output.", "type": "string" } } }, - "BatchEmbedContentsResponse": { - "description": "The response to a `BatchEmbedContentsRequest`.", - "type": "object", + "ImportFileRequest": { + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", "properties": { - "embeddings": { - "readOnly": true, + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "type": "string" + }, + "customMetadata": { + "type": "array", + "description": "Custom metadata to be associated with the file.", "items": { - "$ref": "#/components/schemas/ContentEmbedding" - }, - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", - "type": "array" + "$ref": "#/components/schemas/CustomMetadata" + } }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata", - "readOnly": true + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" } - } + }, + "type": "object" }, - "InlinedEmbedContentResponse": { - "description": "The response to a single request in the batch.", + "ToolCall": { "type": "object", + "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", "properties": { - "error": { - "readOnly": true, - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status" + "id": { + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "type": "string" }, - "response": { - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/EmbedContentResponse", - "readOnly": true + "toolType": { + "type": "string", + "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.", + "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." + ] }, - "metadata": { - "description": "Output only. The metadata associated with the request.", + "args": { "type": "object", - "readOnly": true, "additionalProperties": { "description": "Properties of the object." - } + }, + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}" } } }, - "WhiteSpaceConfig": { - "description": "Configuration for a white space chunking algorithm [white space delimited].", + "DynamicRetrievalConfig": { "type": "object", + "description": "Describes the options to customize dynamic retrieval.", "properties": { - "maxTokensPerChunk": { - "format": "int32", - "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" + "mode": { + "enum": [ + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" + ], + "type": "string", + "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." }, - "maxOverlapTokens": { - "format": "int32", - "description": "Maximum number of overlapping tokens between two adjacent chunks.", - "type": "integer" + "dynamicThreshold": { + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", + "format": "float", + "type": "number" } } }, - "CitationMetadata": { - "description": "A collection of source attributions for a piece of content.", + "StringList": { "type": "object", + "description": "User provided string values assigned to a single metadata key.", "properties": { - "citationSources": { + "values": { + "description": "The string values of the metadata to store.", "items": { - "$ref": "#/components/schemas/CitationSource" + "type": "string" }, - "description": "Citations to sources for a specific response.", "type": "array" } } }, - "ImageConfig": { - "description": "Config for image generation features.", - "type": "object", + "InlinedRequest": { + "description": "The request to be processed in the batch.", "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" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" }, - "imageSize": { - "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", - "type": "string" + "metadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The metadata to be associated with the request." } - } + }, + "type": "object" }, - "InputConfig": { - "description": "Configures the input to the batch request.", - "type": "object", + "File": { + "description": "A file uploaded to the API. Next ID: 15", "properties": { - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedRequests" + "downloadUri": { + "type": "string", + "description": "Output only. The download uri of the `File`.", + "readOnly": true }, - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" - } - } - }, - "Image": { - "description": "Chunk from image search.", - "type": "object", - "properties": { - "imageUri": { - "description": "The image asset URL.", - "type": "string" + "error": { + "description": "Output only. Error status if File processing failed.", + "$ref": "#/components/schemas/Status", + "readOnly": true }, - "sourceUri": { - "description": "The web page URI for attribution.", - "type": "string" + "mimeType": { + "type": "string", + "readOnly": true, + "description": "Output only. MIME type of the file." }, - "title": { - "description": "The title of the web page that the image is from.", - "type": "string" + "expirationTime": { + "type": "string", + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "readOnly": true, + "format": "google-datetime" }, - "domain": { - "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "sha256Hash": { + "description": "Output only. SHA-256 hash of the uploaded bytes.", + "readOnly": true, + "format": "byte", "type": "string" - } - } - }, - "TunedModel": { - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", - "type": "object", - "properties": { - "readerProjectNumbers": { - "items": { - "type": "string", - "format": "int64" - }, - "description": "Optional. List of project numbers that have read access to the tuned model.", - "type": "array" + }, + "videoMetadata": { + "readOnly": true, + "description": "Output only. Metadata for a video.", + "$ref": "#/components/schemas/VideoFileMetadata" }, "updateTime": { + "description": "Output only. The timestamp of when the `File` was last updated.", "readOnly": true, "format": "google-datetime", - "description": "Output only. The timestamp when this model was updated.", "type": "string" }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" - }, - "description": { - "description": "Optional. A short description of this model.", - "type": "string" - }, - "createTime": { - "description": "Output only. The timestamp when this model was created.", + "sizeBytes": { "type": "string", "readOnly": true, - "format": "google-datetime" + "format": "int64", + "description": "Output only. Size of the file in bytes." }, - "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", - "type": "string" + "uri": { + "type": "string", + "readOnly": true, + "description": "Output only. The uri of the `File`." }, - "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" + "source": { + "description": "Source of the File.", + "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." + ], + "type": "string", + "enum": [ + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" + ] }, "state": { "type": "string", "readOnly": true, + "description": "Output only. Processing state of the File.", "enum": [ "STATE_UNSPECIFIED", - "CREATING", + "PROCESSING", "ACTIVE", "FAILED" ], - "description": "Output only. The state of the tuned model.", "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." + "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": { + "createTime": { "readOnly": 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`", + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` was created.", "type": "string" }, - "temperature": { - "format": "float", - "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" - }, - "topK": { - "format": "int32", - "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" - }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" + "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" }, - "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" - } - } - }, - "WebSearch": { - "description": "Standard web search for grounding and related configurations.", - "type": "object", - "properties": {} - }, - "RetrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "type": "object", - "properties": { - "googleSearchDynamicRetrievalScore": { - "format": "float", - "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" + "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" } - } + }, + "type": "object" }, - "InlinedResponse": { - "description": "The response to a single request in the batch.", + "TranslationConfig": { "type": "object", + "description": "Config for translation features.", "properties": { - "metadata": { - "description": "Output only. The metadata associated with the request.", - "type": "object", - "readOnly": true, - "additionalProperties": { - "description": "Properties of the object." - } - }, - "error": { - "readOnly": true, - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status" + "targetLanguageCode": { + "description": "Required. The target language for translation. Supported values are BCP-47 language codes (e.g. \"en\", \"es\", \"fr\").", + "type": "string" }, - "response": { - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/GenerateContentResponse", - "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" } } }, - "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.", + "TransferOwnershipResponse": { "type": "object", + "description": "Response from `TransferOwnership`.", + "properties": {} + }, + "Maps": { + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", "properties": { - "name": { - "readOnly": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "type": "string" - }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. When the cache entry was last updated in UTC time.", + "uri": { + "description": "URI reference of the place.", "type": "string" }, - "createTime": { - "description": "Output only. Creation time of the cache entry.", - "type": "string", - "readOnly": true, - "format": "google-datetime" - }, - "displayName": { - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "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" }, - "tools": { - "items": { - "$ref": "#/components/schemas/Tool" - }, - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", - "type": "array" - }, - "contents": { - "items": { - "$ref": "#/components/schemas/Content" - }, - "description": "Optional. Input only. Immutable. The content to cache.", - "type": "array" - }, - "model": { - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", - "type": "string" + "placeAnswerSources": { + "description": "Sources that provide answers about the features of a given place in Google Maps.", + "$ref": "#/components/schemas/PlaceAnswerSources" }, - "expireTime": { - "format": "google-datetime", - "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", + "text": { + "description": "Text description of the place answer.", "type": "string" }, - "usageMetadata": { - "readOnly": true, - "description": "Output only. Metadata on the usage of the cached content.", - "$ref": "#/components/schemas/CachedContentUsageMetadata" - }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" - }, - "ttl": { - "format": "google-duration", - "description": "Input only. New TTL for this resource, input only.", + "title": { + "description": "Title of the place.", "type": "string" + } + }, + "type": "object" + }, + "SearchTypes": { + "type": "object", + "description": "Different types of search that can be enabled on the GoogleSearch tool.", + "properties": { + "imageSearch": { + "description": "Optional. Enables image search. Image bytes are returned.", + "$ref": "#/components/schemas/ImageSearch" }, - "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" + "webSearch": { + "description": "Optional. Enables web search. Only text results are returned.", + "$ref": "#/components/schemas/WebSearch" } } }, - "Model": { - "description": "Information about a Generative Language Model.", + "Interval": { "type": "object", + "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.", "properties": { - "inputTokenLimit": { - "description": "Maximum number of input tokens allowed for this model.", - "type": "integer", - "format": "int32" - }, - "baseModelId": { - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", - "type": "string" - }, - "version": { - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", - "type": "string" - }, - "outputTokenLimit": { - "description": "Maximum number of output tokens available for this model.", - "type": "integer", - "format": "int32" - }, - "supportedGenerationMethods": { - "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", - "items": { - "type": "string" - } - }, - "description": { - "description": "A short description of the model.", + "endTime": { + "format": "google-datetime", + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", "type": "string" }, - "topP": { - "format": "float", - "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" - }, - "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" - }, - "temperature": { - "format": "float", - "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" - }, - "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`", + "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.", + "format": "google-datetime", "type": "string" + } + } + }, + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "properties": { + "functionCallingConfig": { + "description": "Optional. Function calling config.", + "$ref": "#/components/schemas/FunctionCallingConfig" }, - "thinking": { - "description": "Whether the model supports thinking.", + "includeServerSideToolInvocations": { + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", "type": "boolean" }, - "displayName": { - "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", - "type": "string" - }, - "maxTemperature": { - "format": "float", - "description": "The maximum temperature this model can use.", - "type": "number" + "retrievalConfig": { + "description": "Optional. Retrieval config.", + "$ref": "#/components/schemas/RetrievalConfig" } - } + }, + "type": "object" }, - "Blob": { - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", + "GroundingChunkCustomMetadata": { "type": "object", + "description": "User provided metadata about the GroundingFact.", "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). //", + "stringValue": { + "description": "Optional. The string value of the metadata.", "type": "string" }, - "data": { - "format": "byte", - "description": "Raw bytes for media formats.", + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" + }, + "numericValue": { + "type": "number", + "format": "float", + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used." + }, + "key": { + "description": "The key of the metadata.", "type": "string" } } }, - "MultiSpeakerVoiceConfig": { - "description": "The configuration for the multi-speaker setup.", - "type": "object", + "InlinedEmbedContentResponses": { + "description": "The responses to the requests in the batch.", "properties": { - "speakerVoiceConfigs": { - "description": "Required. All the enabled speaker voices.", - "type": "array", + "inlinedResponses": { + "readOnly": true, + "description": "Output only. The responses to the requests in the batch.", "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" - } - } - } - }, - "GoogleSearch": { - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "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).", - "$ref": "#/components/schemas/Interval" - }, - "searchTypes": { - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", - "$ref": "#/components/schemas/SearchTypes" + "$ref": "#/components/schemas/InlinedEmbedContentResponse" + }, + "type": "array" } - } + }, + "type": "object" }, - "FileSearchStore": { - "description": "A `FileSearchStore` is a collection of `Document`s.", + "Candidate": { "type": "object", + "description": "A response candidate generated from the model.", "properties": { - "updateTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", - "type": "string", - "readOnly": true, - "format": "google-datetime" - }, - "name": { + "index": { + "type": "integer", + "description": "Output only. Index of the candidate in the list of response candidates.", "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" + "format": "int32" }, - "failedDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", - "type": "string", + "tokenCount": { + "type": "integer", "readOnly": true, - "format": "int64" + "format": "int32", + "description": "Output only. Token count for this candidate." }, - "createTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", - "type": "string", + "avgLogprobs": { + "type": "number", + "description": "Output only. Average log probability score of the candidate.", "readOnly": true, - "format": "google-datetime" + "format": "double" }, - "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" + "groundingMetadata": { + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "$ref": "#/components/schemas/GroundingMetadata", + "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" + "logprobsResult": { + "readOnly": true, + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "$ref": "#/components/schemas/LogprobsResult" }, - "pendingDocumentsCount": { + "finishMessage": { "readOnly": true, - "format": "int64", - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", "type": "string" }, - "sizeBytes": { + "citationMetadata": { "readOnly": true, - "format": "int64", - "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", - "type": "string" + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", + "$ref": "#/components/schemas/CitationMetadata" }, - "activeDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", - "type": "string", + "content": { + "description": "Output only. Generated content returned from the model.", + "$ref": "#/components/schemas/Content", + "readOnly": true + }, + "groundingAttributions": { "readOnly": true, - "format": "int64" - } - } - }, - "Empty": { - "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", - "type": "object", - "properties": {} - }, - "ListOperationsResponse": { - "description": "The response message for Operations.ListOperations.", - "type": "object", - "properties": { - "operations": { - "description": "A list of operations that matches the specified filter in the request.", - "type": "array", + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", "items": { - "$ref": "#/components/schemas/Operation" - } + "$ref": "#/components/schemas/GroundingAttribution" + }, + "type": "array" }, - "nextPageToken": { - "description": "The standard List next-page token.", - "type": "string" + "urlContextMetadata": { + "readOnly": true, + "description": "Output only. Metadata related to url context retrieval tool.", + "$ref": "#/components/schemas/UrlContextMetadata" }, - "unreachable": { + "safetyRatings": { + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", "items": { - "type": "string" + "$ref": "#/components/schemas/SafetyRating" }, - "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" + }, + "finishReason": { + "type": "string", + "readOnly": true, + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", + "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." + ] } } }, - "GroundingMetadata": { - "description": "Metadata returned to client when grounding is enabled.", - "type": "object", + "LogprobsResult": { + "description": "Logprobs Result", "properties": { - "imageSearchQueries": { - "description": "Image search queries used for grounding.", + "topCandidates": { "type": "array", + "description": "Length = total number of decoding steps.", "items": { - "type": "string" + "$ref": "#/components/schemas/TopCandidates" } }, - "webSearchQueries": { - "items": { - "type": "string" - }, - "description": "Web search queries for the following-up web search.", - "type": "array" - }, - "groundingChunks": { - "items": { - "$ref": "#/components/schemas/GroundingChunk" - }, - "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", - "type": "array" - }, - "googleMapsWidgetContextToken": { - "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", - "type": "string" - }, - "groundingSupports": { + "chosenCandidates": { + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + "$ref": "#/components/schemas/LogprobsResultCandidate" }, - "description": "List of grounding support.", "type": "array" - }, - "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" - }, - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" - } - } - }, - "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": { - "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" - }, - "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" - }, - "args": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The function parameters and values in JSON object format.", - "type": "object" + }, + "logProbabilitySum": { + "description": "Sum of log probabilities for all tokens.", + "format": "float", + "type": "number" } - } + }, + "type": "object" }, - "GeneratedFile": { - "description": "A file generated on behalf of a user.", - "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.", "properties": { - "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "message": { + "description": "A message explaining the model status.", "type": "string" }, - "mimeType": { - "description": "MIME type of the generatedFile.", - "type": "string" + "retirementTime": { + "type": "string", + "description": "The time at which the model will be retired.", + "format": "google-datetime" }, - "state": { - "description": "Output only. The state of the GeneratedFile.", + "modelStage": { "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." + "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." ], "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" ], - "type": "string", - "readOnly": true - }, - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" + "description": "The stage of the underlying model.", + "enumDeprecated": [ + false, + true, + false, + false, + false, + false, + true, + false + ], + "type": "string" } - } + }, + "type": "object" }, - "VoiceConfig": { - "description": "The configuration for the voice to use.", + "WebSearch": { "type": "object", - "properties": { - "prebuiltVoiceConfig": { - "description": "The configuration for the prebuilt voice to use.", - "$ref": "#/components/schemas/PrebuiltVoiceConfig" - } - } + "description": "Standard web search for grounding and related configurations.", + "properties": {} }, - "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`.", + "GenerateContentResponse": { "type": "object", + "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`.", "properties": { - "toolType": { - "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.", + "modelVersion": { "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." - ] - }, - "args": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", - "type": "object" - }, - "id": { - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", - "type": "string" - } - } - }, - "CountTokensResponse": { - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", - "type": "object", - "properties": { - "promptTokensDetails": { "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array" + "description": "Output only. The model version used to generate the response." }, - "totalTokens": { - "format": "int32", - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", - "type": "integer" + "modelStatus": { + "readOnly": true, + "description": "Output only. The current model status of this model.", + "$ref": "#/components/schemas/ModelStatus" }, - "cacheTokensDetails": { - "description": "Output only. List of modalities that were processed in the cached content.", + "candidates": { "type": "array", - "readOnly": true, + "description": "Candidate responses from the model.", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/Candidate" } }, - "cachedContentTokenCount": { - "format": "int32", - "description": "Number of tokens in the cached part of the prompt (the cached content).", - "type": "integer" - } - } - }, - "GroundingAttribution": { - "description": "Attribution for a source that contributed to an answer.", - "type": "object", - "properties": { - "sourceId": { - "readOnly": true, - "description": "Output only. Identifier for the source contributing to this attribution.", - "$ref": "#/components/schemas/AttributionSourceId" + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" }, - "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" - } - } - }, - "InlinedRequest": { - "description": "The request to be processed in the batch.", - "type": "object", - "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" + "usageMetadata": { + "description": "Output only. Metadata on the generation requests' token usage.", + "$ref": "#/components/schemas/UsageMetadata", + "readOnly": true }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "responseId": { + "type": "string", + "description": "Output only. response_id is used to identify each response.", + "readOnly": true } } }, - "TopCandidates": { - "description": "Candidates with top log probabilities at each decoding step.", + "BatchGenerateContentRequest": { "type": "object", + "description": "Request for a `BatchGenerateContent` operation.", "properties": { - "candidates": { - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - }, - "description": "Sorted by log probability in descending order.", - "type": "array" + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/GenerateContentBatch" } } }, - "ListGeneratedFilesResponse": { - "description": "Response for `ListGeneratedFiles`.", - "type": "object", + "Corpus": { + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "properties": { - "generatedFiles": { - "items": { - "$ref": "#/components/schemas/GeneratedFile" - }, - "description": "The list of `GeneratedFile`s.", - "type": "array" + "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" }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "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" + }, + "updateTime": { + "type": "string", + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Corpus` was last updated." + }, + "createTime": { + "type": "string", + "description": "Output only. The Timestamp of when the `Corpus` was created.", + "readOnly": true, + "format": "google-datetime" } - } + }, + "type": "object" }, - "GoogleAiGenerativelanguageV1betaSegment": { - "description": "Segment of the content.", + "ListPermissionsResponse": { "type": "object", + "description": "Response from `ListPermissions` containing a paginated list of permissions.", "properties": { - "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" - }, - "partIndex": { - "description": "The index of a Part object within its parent Content object.", - "type": "integer", - "format": "int32" + "permissions": { + "type": "array", + "description": "Returned permissions.", + "items": { + "$ref": "#/components/schemas/Permission" + } }, - "text": { - "description": "The text corresponding to the segment from the 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" - }, - "startIndex": { - "format": "int32", - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", - "type": "integer" } } }