From 85e15f6bd25e70a69ea4bd83745ff2c86c279dd4 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Wed, 24 Jun 2026 09:25:35 +0000 Subject: [PATCH] feat: Updated OpenAPI spec --- ...Client.BatchesUpdateEmbedContentBatch.g.cs | 26 +- ...ent.BatchesUpdateGenerateContentBatch.g.cs | 18 +- ...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 | 56 +- ...niClient.DynamicStreamGenerateContent.g.cs | 56 +- ....DynamicStreamGenerateContentAsStream.g.cs | 56 +- ...miniClient.FileSearchStoresImportFile.g.cs | 16 +- ...emini.GeminiClient.ModelsEmbedContent.g.cs | 10 +- ...ni.GeminiClient.ModelsGenerateContent.g.cs | 56 +- ...iniClient.ModelsStreamGenerateContent.g.cs | 56 +- ...t.ModelsStreamGenerateContentAsStream.g.cs | 56 +- ...Gemini.GeminiClient.TunedModelsCreate.g.cs | 52 +- ...miniClient.TunedModelsGenerateContent.g.cs | 56 +- ....Gemini.GeminiClient.TunedModelsPatch.g.cs | 52 +- ...niClient.TunedModelsPermissionsCreate.g.cs | 10 +- ...iniClient.TunedModelsPermissionsPatch.g.cs | 10 +- ...ient.TunedModelsStreamGenerateContent.g.cs | 56 +- ...edModelsStreamGenerateContentAsStream.g.cs | 56 +- ...Client.BatchesUpdateEmbedContentBatch.g.cs | 20 +- ...ent.BatchesUpdateGenerateContentBatch.g.cs | 14 +- ...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 | 44 +- ...niClient.DynamicStreamGenerateContent.g.cs | 44 +- ....DynamicStreamGenerateContentAsStream.g.cs | 44 +- ...miniClient.FileSearchStoresImportFile.g.cs | 12 +- ...mini.IGeminiClient.ModelsEmbedContent.g.cs | 8 +- ...i.IGeminiClient.ModelsGenerateContent.g.cs | 44 +- ...iniClient.ModelsStreamGenerateContent.g.cs | 44 +- ...t.ModelsStreamGenerateContentAsStream.g.cs | 44 +- ...emini.IGeminiClient.TunedModelsCreate.g.cs | 40 +- ...miniClient.TunedModelsGenerateContent.g.cs | 44 +- ...Gemini.IGeminiClient.TunedModelsPatch.g.cs | 40 +- ...niClient.TunedModelsPermissionsCreate.g.cs | 8 +- ...iniClient.TunedModelsPermissionsPatch.g.cs | 8 +- ...ient.TunedModelsStreamGenerateContent.g.cs | 44 +- ...edModelsStreamGenerateContentAsStream.g.cs | 44 +- .../Google.Gemini.JsonSerializerContext.g.cs | 646 +- ...gle.Gemini.JsonSerializerContextTypes.g.cs | 584 +- ...gle.Gemini.Models.AttributionSourceId.g.cs | 24 +- ...ini.Models.BatchEmbedContentsResponse.g.cs | 24 +- .../Google.Gemini.Models.BatchStats.g.cs | 52 +- .../Google.Gemini.Models.CachedContent.g.cs | 94 +- .../Google.Gemini.Models.Candidate.g.cs | 144 +- .../Google.Gemini.Models.CitationSource.g.cs | 50 +- .../Google.Gemini.Models.ComputerUse.g.cs | 26 +- ...Google.Gemini.Models.ContentEmbedding.g.cs | 24 +- .../Google.Gemini.Models.Corpus.g.cs | 28 +- ...gle.Gemini.Models.CountTokensResponse.g.cs | 38 +- ...ini.Models.CustomLongRunningOperation.g.cs | 46 +- .../Google.Gemini.Models.CustomMetadata.g.cs | 36 +- .../Google.Gemini.Models.Document.g.cs | 96 +- ...oogle.Gemini.Models.EmbedContentBatch.g.cs | 124 +- ...Gemini.Models.EmbedContentBatchOutput.g.cs | 24 +- ....Gemini.Models.EmbedContentBatchStats.g.cs | 42 +- ...ogle.Gemini.Models.EmbedContentConfig.g.cs | 60 +- ...gle.Gemini.Models.EmbedContentRequest.g.cs | 42 +- ...le.Gemini.Models.EmbedContentResponse.g.cs | 24 +- .../Generated/Google.Gemini.Models.File.g.cs | 184 +- .../Google.Gemini.Models.FileData.g.cs | 24 +- .../Google.Gemini.Models.FileSearch.g.cs | 24 +- .../Google.Gemini.Models.FileSearchStore.g.cs | 102 +- .../Google.Gemini.Models.FunctionCall.g.cs | 24 +- ...e.Gemini.Models.FunctionCallingConfig.g.cs | 24 +- ...gle.Gemini.Models.FunctionDeclaration.g.cs | 74 +- ...Google.Gemini.Models.FunctionResponse.g.cs | 22 +- ...le.Gemini.Models.GenerateContentBatch.g.cs | 122 +- ...ini.Models.GenerateContentBatchOutput.g.cs | 24 +- ....Gemini.Models.GenerateContentRequest.g.cs | 112 +- ...Gemini.Models.GenerateContentResponse.g.cs | 60 +- ...Google.Gemini.Models.GenerationConfig.g.cs | 262 +- ...erativelanguageV1betaGroundingSupport.g.cs | 24 +- ...ogleAiGenerativelanguageV1betaSegment.g.cs | 24 +- .../Google.Gemini.Models.GoogleSearch.g.cs | 24 +- ...le.Gemini.Models.GroundingAttribution.g.cs | 24 +- .../Google.Gemini.Models.GroundingChunk.g.cs | 24 +- ...i.Models.GroundingChunkCustomMetadata.g.cs | 38 +- ...oogle.Gemini.Models.GroundingMetadata.g.cs | 74 +- .../Google.Gemini.Models.Hyperparameters.g.cs | 36 +- .../Generated/Google.Gemini.Models.Image.g.cs | 24 +- ...gle.Gemini.Models.ImageResponseFormat.g.cs | 26 +- ...oogle.Gemini.Models.ImportFileRequest.g.cs | 28 +- ...ni.Models.InlinedEmbedContentResponse.g.cs | 28 +- .../Google.Gemini.Models.InlinedResponse.g.cs | 24 +- ...Gemini.Models.InputEmbedContentConfig.g.cs | 24 +- .../Google.Gemini.Models.Interval.g.cs | 24 +- ...gle.Gemini.Models.ListCorporaResponse.g.cs | 24 +- ...e.Gemini.Models.ListDocumentsResponse.g.cs | 24 +- ....Gemini.Models.ListOperationsResponse.g.cs | 24 +- ...Gemini.Models.ListPermissionsResponse.g.cs | 24 +- .../Google.Gemini.Models.LogprobsResult.g.cs | 22 +- ...Gemini.Models.LogprobsResultCandidate.g.cs | 22 +- .../Generated/Google.Gemini.Models.Maps.g.cs | 46 +- .../Generated/Google.Gemini.Models.Model.g.cs | 150 +- .../Google.Gemini.Models.ModelStatus.g.cs | 22 +- .../Google.Gemini.Models.Operation.g.cs | 46 +- .../Generated/Google.Gemini.Models.Part.g.cs | 158 +- .../Google.Gemini.Models.Permission.g.cs | 32 +- .../Google.Gemini.Models.PromptFeedback.g.cs | 24 +- ...le.Gemini.Models.ResponseFormatConfig.g.cs | 28 +- ...Google.Gemini.Models.RetrievedContext.g.cs | 38 +- .../Google.Gemini.Models.ReviewSnippet.g.cs | 24 +- .../Google.Gemini.Models.SafetyRating.g.cs | 26 +- .../Google.Gemini.Models.SafetySetting.g.cs | 26 +- .../Google.Gemini.Models.Schema.g.cs | 264 +- .../Google.Gemini.Models.SpeechConfig.g.cs | 24 +- ...Gemini.Models.StreamableHttpTransport.g.cs | 46 +- .../Google.Gemini.Models.ThinkingConfig.g.cs | 26 +- .../Generated/Google.Gemini.Models.Tool.g.cs | 108 +- .../Google.Gemini.Models.ToolCall.g.cs | 24 +- .../Google.Gemini.Models.ToolConfig.g.cs | 24 +- .../Google.Gemini.Models.TunedModel.g.cs | 150 +- ...Google.Gemini.Models.TunedModelSource.g.cs | 24 +- .../Google.Gemini.Models.TuningSnapshot.g.cs | 26 +- .../Google.Gemini.Models.TuningTask.g.cs | 50 +- .../Google.Gemini.Models.UsageMetadata.g.cs | 120 +- .../Google.Gemini.Models.VideoMetadata.g.cs | 26 +- src/libs/Google.Gemini/openapi.json | 8560 ++++++++--------- 123 files changed, 7704 insertions(+), 7704 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 514f57b6..a2ae1169 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 @@ -448,11 +448,14 @@ 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}`. /// - /// - /// Configures the input to the batch request. + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// /// /// Stats about the batch. @@ -460,11 +463,8 @@ 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. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// Configures the input to the batch request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -472,23 +472,23 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, + string? priority = default, string? model = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + global::Google.Gemini.EmbedContentBatchOutput? output = default, global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? displayName = default, - global::Google.Gemini.EmbedContentBatchOutput? output = default, - string? priority = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { + Priority = priority, Model = model, - InputConfig = inputConfig, + Output = output, BatchStats = batchStats, DisplayName = displayName, - Output = output, - Priority = priority, + InputConfig = inputConfig, }; return await BatchesUpdateEmbedContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs index e100ef6c..585306ee 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 @@ -448,11 +448,14 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// + /// + /// Configures the input to the batch request. + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Configures the input to the batch request. + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// /// /// Stats about the batch. @@ -460,9 +463,6 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// Required. The user-defined name of this batch. /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// /// 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? model = 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, - global::Google.Gemini.GenerateContentBatchOutput? output = default, string? priority = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { - Model = model, InputConfig = inputConfig, + Model = model, + Output = output, BatchStats = batchStats, DisplayName = displayName, - Output = output, 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 157cba4a..9be7f869 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 @@ -425,20 +425,23 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Creates CachedContent resource. /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// 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. /// - /// - /// 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. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// + /// 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. /// /// /// Metadata on the usage of the cached content. @@ -446,39 +449,36 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Input only. Immutable. The content to cache. /// /// 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( - global::System.Collections.Generic.IList? contents = default, + string? displayName = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? ttl = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - string? model = default, - string? ttl = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, string? expireTime = default, - string? displayName = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - Contents = contents, + DisplayName = displayName, + ToolConfig = toolConfig, + Ttl = ttl, + Model = model, Tools = tools, SystemInstruction = systemInstruction, - Model = model, - Ttl = ttl, UsageMetadata = usageMetadata, ExpireTime = expireTime, - DisplayName = displayName, - ToolConfig = toolConfig, + Contents = contents, }; 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 90cac7c5..d139ca8c 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 @@ -448,20 +448,23 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// 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. /// - /// - /// 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. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// + /// 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. /// /// /// Metadata on the usage of the cached content. @@ -469,11 +472,8 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Input only. Immutable. The content to cache. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -481,29 +481,29 @@ partial void ProcessCachedContentsPatchResponseContent( public async global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - global::System.Collections.Generic.IList? contents = default, + string? displayName = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? ttl = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - string? model = default, - string? ttl = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, string? expireTime = default, - string? displayName = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - Contents = contents, + DisplayName = displayName, + ToolConfig = toolConfig, + Ttl = ttl, + Model = model, Tools = tools, SystemInstruction = systemInstruction, - Model = model, - Ttl = ttl, UsageMetadata = usageMetadata, ExpireTime = expireTime, - DisplayName = displayName, - ToolConfig = toolConfig, + Contents = contents, }; return await CachedContentsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs index 0167d56a..6961b234 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 5b7d23da..a64bbbc9 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 f8f85288..5817bdd6 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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 DynamicGenerateContentAsync( string dynamicId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ToolConfig = toolConfig, + CachedContent = cachedContent, GenerationConfig = generationConfig, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Contents = contents, - Tools = tools, - CachedContent = cachedContent, Store = store, - Model = model, SafetySettings = safetySettings, + ToolConfig = toolConfig, + Model = model, + Tools = tools, + SystemInstruction = systemInstruction, + ServiceTier = serviceTier, }; 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 f0eb14aa..3628edda 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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 DynamicStreamGenerateContentAsync( string dynamicId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ToolConfig = toolConfig, + CachedContent = cachedContent, GenerationConfig = generationConfig, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Contents = contents, - Tools = tools, - CachedContent = cachedContent, Store = store, - Model = model, SafetySettings = safetySettings, + ToolConfig = toolConfig, + Model = model, + Tools = tools, + SystemInstruction = systemInstruction, + ServiceTier = serviceTier, }; 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 7a809070..3276d2cb 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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, + CachedContent = cachedContent, GenerationConfig = generationConfig, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Contents = contents, - Tools = tools, - CachedContent = cachedContent, Store = store, - Model = model, SafetySettings = safetySettings, + ToolConfig = toolConfig, + Model = model, + Tools = tools, + SystemInstruction = systemInstruction, + ServiceTier = serviceTier, }; var __enumerable = DynamicStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs index 05ef9bc7..84aaacd5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs @@ -435,31 +435,31 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// Custom metadata to be associated with the file. /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// - /// - /// Custom metadata to be associated with the file. + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - string? fileName = default, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::System.Collections.Generic.IList? customMetadata = default, + global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + string? fileName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.ImportFileRequest { - FileName = fileName, - ChunkingConfig = chunkingConfig, CustomMetadata = customMetadata, + ChunkingConfig = chunkingConfig, + FileName = fileName, }; return await FileSearchStoresImportFileAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs index 9181ee76..0c05e1f5 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). /// /// - /// - /// 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. - /// /// /// 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. + /// /// 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.Content? content = default, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, string? model = default, + global::Google.Gemini.Content? content = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentRequest { - Content = content, EmbedContentConfig = embedContentConfig, Model = model, + Content = content, }; 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 338b9c58..312abb35 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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 ModelsGenerateContentAsync( string modelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ToolConfig = toolConfig, + CachedContent = cachedContent, GenerationConfig = generationConfig, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Contents = contents, - Tools = tools, - CachedContent = cachedContent, Store = store, - Model = model, SafetySettings = safetySettings, + ToolConfig = toolConfig, + Model = model, + Tools = tools, + SystemInstruction = systemInstruction, + ServiceTier = serviceTier, }; 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 2786e5dc..a28df0c9 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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 ModelsStreamGenerateContentAsync( string modelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ToolConfig = toolConfig, + CachedContent = cachedContent, GenerationConfig = generationConfig, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Contents = contents, - Tools = tools, - CachedContent = cachedContent, Store = store, - Model = model, SafetySettings = safetySettings, + ToolConfig = toolConfig, + Model = model, + Tools = tools, + SystemInstruction = systemInstruction, + ServiceTier = serviceTier, }; 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 773dde77..8804a305 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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, + CachedContent = cachedContent, GenerationConfig = generationConfig, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Contents = contents, - Tools = tools, - CachedContent = cachedContent, Store = store, - Model = model, SafetySettings = safetySettings, + ToolConfig = toolConfig, + Model = model, + Tools = tools, + SystemInstruction = systemInstruction, + ServiceTier = serviceTier, }; 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 b9544adb..91038314 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 @@ -438,61 +438,61 @@ 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. + /// + /// Tuned model as a source for training a new 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. + /// + /// 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` + /// + /// 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. List of project numbers that have read access to the tuned model. /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// /// 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. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Tuning tasks that create tuned models. /// /// 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::Google.Gemini.TuningTask? tuningTask = default, - int? topK = default, - string? baseModel = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - float? topP = default, - string? description = default, float? temperature = default, + float? topP = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, string? displayName = default, + string? baseModel = default, + string? description = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - TuningTask = tuningTask, - TopK = topK, - BaseModel = baseModel, - ReaderProjectNumbers = readerProjectNumbers, TunedModelSource = tunedModelSource, - TopP = topP, - Description = description, Temperature = temperature, + TopP = topP, + ReaderProjectNumbers = readerProjectNumbers, DisplayName = displayName, + BaseModel = baseModel, + Description = description, + TopK = topK, + TuningTask = tuningTask, }; 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 39a9095d..8e303d62 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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 TunedModelsGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ToolConfig = toolConfig, + CachedContent = cachedContent, GenerationConfig = generationConfig, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Contents = contents, - Tools = tools, - CachedContent = cachedContent, Store = store, - Model = model, SafetySettings = safetySettings, + ToolConfig = toolConfig, + Model = model, + Tools = tools, + SystemInstruction = systemInstruction, + ServiceTier = serviceTier, }; 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 ca375d4d..c1cd35d2 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 @@ -448,32 +448,32 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// /// - /// - /// Tuning tasks that create tuned models. + /// + /// Tuned model as a source for training a new 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. + /// + /// 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` + /// + /// 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. List of project numbers that have read access to the tuned model. /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// /// 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. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Tuning tasks that create tuned models. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -481,29 +481,29 @@ partial void ProcessTunedModelsPatchResponseContent( public async global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - global::Google.Gemini.TuningTask? tuningTask = default, - int? topK = default, - string? baseModel = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - float? topP = default, - string? description = default, float? temperature = default, + float? topP = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, string? displayName = default, + string? baseModel = default, + string? description = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - TuningTask = tuningTask, - TopK = topK, - BaseModel = baseModel, - ReaderProjectNumbers = readerProjectNumbers, TunedModelSource = tunedModelSource, - TopP = topP, - Description = description, Temperature = temperature, + TopP = topP, + ReaderProjectNumbers = readerProjectNumbers, DisplayName = displayName, + BaseModel = baseModel, + Description = description, + TopK = topK, + TuningTask = tuningTask, }; return await TunedModelsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs index 58eaf040..2f74e3cc 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 36931011..d4207544 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 f6de896f..1495e6f8 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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 TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ToolConfig = toolConfig, + CachedContent = cachedContent, GenerationConfig = generationConfig, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Contents = contents, - Tools = tools, - CachedContent = cachedContent, Store = store, - Model = model, SafetySettings = safetySettings, + ToolConfig = toolConfig, + Model = model, + Tools = tools, + SystemInstruction = systemInstruction, + ServiceTier = serviceTier, }; 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 201973fc..c741cb43 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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, + CachedContent = cachedContent, GenerationConfig = generationConfig, - ServiceTier = serviceTier, - SystemInstruction = systemInstruction, Contents = contents, - Tools = tools, - CachedContent = cachedContent, Store = store, - Model = model, SafetySettings = safetySettings, + ToolConfig = toolConfig, + Model = model, + Tools = tools, + SystemInstruction = systemInstruction, + ServiceTier = serviceTier, }; 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 e199921c..1703f917 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 @@ -41,11 +41,14 @@ 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}`. /// - /// - /// Configures the input to the batch request. + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// /// /// Stats about the batch. @@ -53,11 +56,8 @@ 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. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// Configures the input to the batch request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -65,12 +65,12 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, + string? priority = default, string? model = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + global::Google.Gemini.EmbedContentBatchOutput? output = default, global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? displayName = default, - global::Google.Gemini.EmbedContentBatchOutput? output = default, - string? priority = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 2001d139..e606db5a 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 @@ -41,11 +41,14 @@ public partial interface IGeminiClient /// /// /// + /// + /// Configures the input to the batch request. + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Configures the input to the batch request. + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// /// /// Stats about the batch. @@ -53,9 +56,6 @@ public partial interface IGeminiClient /// /// Required. The user-defined name of this batch. /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// /// 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? model = 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, - global::Google.Gemini.GenerateContentBatchOutput? output = 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 68ba3077..8273986d 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 @@ -31,20 +31,23 @@ public partial interface IGeminiClient /// /// Creates CachedContent resource. /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// 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. /// - /// - /// 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. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// + /// 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. /// /// /// Metadata on the usage of the cached content. @@ -52,25 +55,22 @@ public partial interface IGeminiClient /// /// 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Input only. Immutable. The content to cache. /// /// 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( - global::System.Collections.Generic.IList? contents = default, + string? displayName = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? ttl = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - string? model = default, - string? ttl = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, string? expireTime = default, - string? displayName = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = 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 f0b793a6..e86e9743 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 @@ -41,20 +41,23 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// 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. /// - /// - /// 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. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// + /// 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. /// /// /// Metadata on the usage of the cached content. @@ -62,11 +65,8 @@ public partial interface IGeminiClient /// /// 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Input only. Immutable. The content to cache. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -74,15 +74,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - global::System.Collections.Generic.IList? contents = default, + string? displayName = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? ttl = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - string? model = default, - string? ttl = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, string? expireTime = default, - string? displayName = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs index 6862024b..d00a997c 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 23ae22ac..61d0e8e4 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 b881f3d0..0c4d9056 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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 DynamicGenerateContentAsync( string dynamicId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 ab5f7ee0..1ea7bddb 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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 DynamicStreamGenerateContentAsync( string dynamicId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 07922251..26d0a572 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of the request. /// /// 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, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs index 95c834be..e0b568c2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs @@ -36,23 +36,23 @@ public partial interface IGeminiClient /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// Custom metadata to be associated with the file. /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// - /// - /// Custom metadata to be associated with the file. + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - string? fileName = default, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::System.Collections.Generic.IList? customMetadata = default, + global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + string? fileName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs index a0ce1945..39678846 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). /// /// - /// - /// 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. - /// /// /// 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. + /// /// 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.Content? content = default, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, string? model = default, + global::Google.Gemini.Content? content = 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 941b9128..f662dffc 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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 ModelsGenerateContentAsync( string modelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 a7bec00c..c9b96994 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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 ModelsStreamGenerateContentAsync( string modelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 0722d1eb..7ce2153c 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of the request. /// /// 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, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 fa8a5a24..4b2e48b5 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 @@ -36,47 +36,47 @@ 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. + /// + /// Tuned model as a source for training a new 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. + /// + /// 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` + /// + /// 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. List of project numbers that have read access to the tuned model. /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// /// 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. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Tuning tasks that create tuned models. /// /// 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::Google.Gemini.TuningTask? tuningTask = default, - int? topK = default, - string? baseModel = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - float? topP = default, - string? description = default, float? temperature = default, + float? topP = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, string? displayName = default, + string? baseModel = default, + string? description = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = 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 dd37b772..7f3c5e12 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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 TunedModelsGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 72ef37d2..2c045652 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 @@ -41,32 +41,32 @@ public partial interface IGeminiClient /// /// /// - /// - /// Tuning tasks that create tuned models. + /// + /// Tuned model as a source for training a new 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. + /// + /// 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` + /// + /// 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. List of project numbers that have read access to the tuned model. /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// /// 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. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Tuning tasks that create tuned models. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -74,15 +74,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - global::Google.Gemini.TuningTask? tuningTask = default, - int? topK = default, - string? baseModel = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - float? topP = default, - string? description = default, float? temperature = default, + float? topP = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, string? displayName = default, + string? baseModel = default, + string? description = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs index 2eced6f5..201791e7 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 b9a1f31c..e32f3684 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 3a4a6dfc..438e8e22 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of 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 TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.ToolConfig? toolConfig = default, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 c29f9678..0b168af8 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of the request. /// /// 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, + string? cachedContent = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, bool? store = default, - string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 3227c0ea..093ba1cd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -21,45 +21,49 @@ namespace Google.Gemini typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter), typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), @@ -69,421 +73,417 @@ namespace Google.Gemini typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), 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.RetrievedContext))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkCustomMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeakerVoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomLongRunningOperation))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationSource))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormat))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormatMimeType), TypeInfoPropertyName = "AudioResponseFormatMimeType2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormatDelivery), TypeInfoPropertyName = "AudioResponseFormatDelivery2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponsePart))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseScheduling), TypeInfoPropertyName = "FunctionResponseScheduling2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkStringList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchStats))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningSnapshot))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ResponseFormatConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormat))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListDocumentsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Document))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunk))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievedContext))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Web))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Maps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContextMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadata))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TextResponseFormat))] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFileState), TypeInfoPropertyName = "GeneratedFileState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCountModality), TypeInfoPropertyName = "ModalityTokenCountModality2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclarationBehavior), TypeInfoPropertyName = "FunctionDeclarationBehavior2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCodeLanguage), TypeInfoPropertyName = "ExecutableCodeLanguage2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImportFileRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingThreshold), TypeInfoPropertyName = "SafetySettingThreshold2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingCategory), TypeInfoPropertyName = "SafetySettingCategory2")] - [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.PromptFeedback))] - [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.PromptFeedbackBlockReason), TypeInfoPropertyName = "PromptFeedbackBlockReason2")] - [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::Google.Gemini.CustomLongRunningOperation))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadataUrlRetrievalStatus), TypeInfoPropertyName = "UrlMetadataUrlRetrievalStatus2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelSource))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DocumentState), TypeInfoPropertyName = "DocumentState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CandidateFinishReason), TypeInfoPropertyName = "CandidateFinishReason2")] + [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.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] + [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.ListFileSearchStoresResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [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 7d459c9d..e73251f8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,19 +28,19 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.RetrievedContext? Type0 { get; set; } + public global::Google.Gemini.CitationMetadata? Type0 { get; set; } /// /// /// - public string? Type1 { get; set; } + public global::System.Collections.Generic.IList? Type1 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type2 { get; set; } + public global::Google.Gemini.CitationSource? Type2 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type3 { get; set; } + public global::Google.Gemini.AudioResponseFormat? Type3 { get; set; } /// /// /// @@ -48,1024 +48,1024 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type5 { get; set; } + public global::Google.Gemini.AudioResponseFormatMimeType? Type5 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type6 { get; set; } + public global::Google.Gemini.AudioResponseFormatDelivery? Type6 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type7 { get; set; } + public global::Google.Gemini.InlinedResponse? Type7 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type8 { get; set; } + public object? Type8 { get; set; } /// /// /// - public object? Type9 { get; set; } + public global::Google.Gemini.Status? Type9 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type10 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type10 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type11 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type11 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type12 { get; set; } + public global::System.Collections.Generic.IList? Type12 { get; set; } /// /// /// - public bool? Type13 { get; set; } + public global::Google.Gemini.Document? Type13 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type14 { get; set; } + public string? Type14 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormat? Type15 { get; set; } + public global::Google.Gemini.GroundingChunk? Type15 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormatMimeType? Type16 { get; set; } + public global::Google.Gemini.RetrievedContext? Type16 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormatDelivery? Type17 { get; set; } + public global::Google.Gemini.Image? Type17 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type18 { get; set; } + public global::Google.Gemini.Web? Type18 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type19 { get; set; } + public global::Google.Gemini.Maps? Type19 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type20 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type20 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type21 { get; set; } + public global::System.Collections.Generic.IList? Type21 { get; set; } /// /// /// - public float? Type22 { get; set; } + public global::Google.Gemini.UrlMetadata? Type22 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type23 { get; set; } + public global::Google.Gemini.TextResponseFormat? Type23 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type24 { get; set; } + public global::Google.Gemini.TextResponseFormatMimeType? Type24 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type25 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type25 { get; set; } /// /// /// - public global::Google.Gemini.ResponseFormatConfig? Type26 { get; set; } + public global::System.Collections.Generic.IList? Type26 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormat? Type27 { get; set; } + public global::Google.Gemini.GeneratedFile? Type27 { get; set; } /// /// /// - public global::Google.Gemini.TextResponseFormat? Type28 { get; set; } + public global::Google.Gemini.TopCandidates? Type28 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type29 { get; set; } + public global::System.Collections.Generic.IList? Type29 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type30 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type30 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type31 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type31 { get; set; } /// /// /// - public global::Google.Gemini.TextResponseFormatMimeType? Type32 { get; set; } + public bool? Type32 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type33 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type33 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type34 { get; set; } + public global::Google.Gemini.ToolCall? Type34 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type35 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type35 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type36 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type36 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type37 { get; set; } + public global::Google.Gemini.GenerationConfig? Type37 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type38 { get; set; } + public global::System.Collections.Generic.IList? Type38 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type39 { get; set; } + public global::Google.Gemini.Content? Type39 { get; set; } /// /// /// - public byte[]? Type40 { get; set; } + public global::System.Collections.Generic.IList? Type40 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type41 { get; set; } + public global::Google.Gemini.SafetySetting? Type41 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type42 { get; set; } + public global::Google.Gemini.ToolConfig? Type42 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type43 { get; set; } + public global::System.Collections.Generic.IList? Type43 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type44 { get; set; } + public global::Google.Gemini.Tool? Type44 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type45 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type45 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type46 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type46 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type47 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type47 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type48 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type48 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type49 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type49 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type50 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type50 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type51 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type51 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type52 { get; set; } + public global::System.Collections.Generic.IList? Type52 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type53 { get; set; } + public global::Google.Gemini.CustomMetadata? Type53 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type54 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type54 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type55 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type55 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type56 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type56 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type57 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type57 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type58 { get; set; } + public float? Type58 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type59 { get; set; } + public global::Google.Gemini.SafetyRating? Type59 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type60 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type60 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type61 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type61 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type62 { get; set; } + public global::Google.Gemini.UsageMetadata? Type62 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type63 { get; set; } + public global::System.Collections.Generic.IList? Type63 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type64 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type64 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type65 { get; set; } + public global::Google.Gemini.UsageMetadataServiceTier? Type65 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type66 { get; set; } + public global::Google.Gemini.TuningExamples? Type66 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type67 { get; set; } + public global::System.Collections.Generic.IList? Type67 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type68 { get; set; } + public global::Google.Gemini.TuningExample? Type68 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type69 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type69 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type70 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type70 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type71 { get; set; } + public global::Google.Gemini.VoiceConfig? Type71 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type72 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type72 { get; set; } /// /// /// - public double? Type73 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type73 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type74 { get; set; } + public global::Google.Gemini.InlinedResponses? Type74 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type75 { get; set; } + public global::Google.Gemini.FunctionResponse? Type75 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type76 { get; set; } + public global::System.Collections.Generic.IList? Type76 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type77 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type77 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type78 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type78 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type79 { get; set; } + public global::Google.Gemini.Schema? Type79 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type80 { get; set; } + public global::Google.Gemini.ImageConfig? Type80 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type81 { get; set; } + public global::Google.Gemini.ResponseFormatConfig? Type81 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type82 { get; set; } + public global::System.Collections.Generic.IList? Type82 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type83 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type83 { get; set; } /// /// /// - public global::Google.Gemini.File? Type84 { get; set; } + public global::System.Collections.Generic.IList? Type84 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type85 { get; set; } + public global::Google.Gemini.TranslationConfig? Type85 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type86 { get; set; } + public global::Google.Gemini.SpeechConfig? Type86 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type87 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type87 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type88 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type88 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type89 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type89 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type90 { get; set; } + public global::System.Collections.Generic.IList? Type90 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type91 { get; set; } + public global::Google.Gemini.Operation? Type91 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type92 { get; set; } + public global::Google.Gemini.Empty? Type92 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type93 { get; set; } + public global::Google.Gemini.ExecutableCode? Type93 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type94 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type94 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type95 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type95 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type96 { get; set; } + public global::Google.Gemini.Permission? Type96 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type97 { get; set; } + public global::Google.Gemini.PermissionRole? Type97 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type98 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type98 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type99 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type99 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type100 { get; set; } + public global::System.Collections.Generic.IList? Type100 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type101 { get; set; } + public global::Google.Gemini.Corpus? Type101 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type102 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type102 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type103 { get; set; } + public global::System.Collections.Generic.IList? Type103 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type104 { get; set; } + public global::Google.Gemini.File? Type104 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type105 { get; set; } + public global::Google.Gemini.FunctionCall? Type105 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type106 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type106 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type107 { get; set; } + public global::Google.Gemini.LatLng? Type107 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type108 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type108 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type109 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type109 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type110 { get; set; } + public byte[]? Type110 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type111 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type111 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type112 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type112 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type113 { get; set; } + public global::System.Collections.Generic.IList? Type113 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type114 { get; set; } + public global::Google.Gemini.TunedModel? Type114 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type115 { get; set; } + public global::Google.Gemini.InlinedRequest? Type115 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type116 { get; set; } + public global::Google.Gemini.CodeExecution? Type116 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatMimeType? Type117 { get; set; } + public global::Google.Gemini.ModelStatus? Type117 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatDelivery? Type118 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type118 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatImageSize? Type119 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type119 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatAspectRatio? Type120 { get; set; } + public global::System.Collections.Generic.IList? Type120 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type121 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type121 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type122 { get; set; } + public global::Google.Gemini.Part? Type122 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type123 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type123 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type124 { get; set; } + public global::Google.Gemini.FileData? Type124 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type125 { get; set; } + public global::Google.Gemini.VideoMetadata? Type125 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type126 { get; set; } + public global::Google.Gemini.ToolResponse? Type126 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type127 { get; set; } + public global::Google.Gemini.Blob? Type127 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type128 { get; set; } + public global::Google.Gemini.InputConfig? Type128 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type129 { get; set; } + public global::Google.Gemini.InlinedRequests? Type129 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type130 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type130 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type131 { get; set; } + public global::Google.Gemini.Model? Type131 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type132 { get; set; } + public double? Type132 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type133 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type133 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type134 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type134 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type135 { get; set; } + public global::System.Collections.Generic.IList? Type135 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type136 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type136 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type137 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type137 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type138 { get; set; } + public global::System.Collections.Generic.IList? Type138 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type139 { get; set; } + public global::System.Collections.Generic.IList? Type139 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type140 { get; set; } + public global::Google.Gemini.PromptFeedback? Type140 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type141 { get; set; } + public global::System.Collections.Generic.IList? Type141 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type142 { get; set; } + public global::Google.Gemini.Candidate? Type142 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type143 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type143 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type144 { get; set; } + public global::System.Collections.Generic.IList? Type144 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type145 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type145 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type146 { get; set; } + public global::Google.Gemini.McpServer? Type146 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type147 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type147 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type148 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type148 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type149 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type149 { get; set; } /// /// /// - public global::Google.Gemini.TranslationConfig? Type150 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type150 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type151 { get; set; } + public global::Google.Gemini.StringList? Type151 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type152 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type152 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type153 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type153 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type154 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type154 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type155 { get; set; } + public global::System.Collections.Generic.IList? Type155 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type156 { get; set; } + public global::Google.Gemini.CachedContent? Type156 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type157 { get; set; } + public global::Google.Gemini.ImageResponseFormat? Type157 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type158 { get; set; } + public global::Google.Gemini.ImageResponseFormatMimeType? Type158 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type159 { get; set; } + public global::Google.Gemini.ImageResponseFormatDelivery? Type159 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type160 { get; set; } + public global::Google.Gemini.ImageResponseFormatAspectRatio? Type160 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type161 { get; set; } + public global::Google.Gemini.ImageResponseFormatImageSize? Type161 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type162 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type162 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type163 { get; set; } + public global::System.Collections.Generic.IList? Type163 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type164 { get; set; } + public global::Google.Gemini.ComputerUse? Type164 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type165 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type165 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type166 { get; set; } + public global::System.Collections.Generic.IList? Type166 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type167 { get; set; } + public global::Google.Gemini.ComputerUseDisabledSafetyPolicie? Type167 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type168 { get; set; } + public global::Google.Gemini.BatchStats? Type168 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type169 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type169 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type170 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type170 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type171 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type171 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type172 { get; set; } + public global::System.Collections.Generic.IList? Type172 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type173 { get; set; } + public global::Google.Gemini.SearchTypes? Type173 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type174 { get; set; } + public global::Google.Gemini.ImageSearch? Type174 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type175 { get; set; } + public global::Google.Gemini.WebSearch? Type175 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type176 { get; set; } + public global::Google.Gemini.LogprobsResult? Type176 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type177 { get; set; } + public global::System.Collections.Generic.IList? Type177 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type178 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type178 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type179 { get; set; } + public global::System.Collections.Generic.IList? Type179 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type180 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type180 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type181 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type181 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type182 { get; set; } + public global::System.Collections.Generic.IList? Type182 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type183 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type183 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type184 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type184 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type185 { get; set; } + public global::Google.Gemini.TuningTask? Type185 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type186 { get; set; } + public global::Google.Gemini.Hyperparameters? Type186 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type187 { get; set; } + public global::System.Collections.Generic.IList? Type187 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type188 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type188 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type189 { get; set; } + public global::Google.Gemini.Dataset? Type189 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type190 { get; set; } + public global::System.Collections.Generic.IList? Type190 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type191 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type191 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type192 { get; set; } + public global::System.Collections.Generic.IList? Type192 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type193 { get; set; } + public global::System.Collections.Generic.Dictionary? Type193 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type194 { get; set; } + public global::Google.Gemini.SchemaType? Type194 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type195 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type195 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type196 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type196 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type197 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type197 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type198 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type198 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type199 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type199 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type200 { get; set; } + public global::Google.Gemini.Interval? Type200 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type201 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type201 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type202 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type202 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type203 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type203 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type204 { get; set; } + public global::System.Collections.Generic.IList? Type204 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type205 { get; set; } + public global::System.Collections.Generic.IList? Type205 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type206 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type206 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type207 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type207 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type208 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type208 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type209 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type209 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type210 { get; set; } + public global::System.Collections.Generic.IList? Type210 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type211 { get; set; } + public global::Google.Gemini.GoogleSearch? Type211 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type212 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type212 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type213 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type213 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type214 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type214 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type215 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type215 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type216 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type216 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type217 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type217 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type218 { get; set; } + public global::System.Collections.Generic.IList? Type218 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type219 { get; set; } + public global::Google.Gemini.UrlContext? Type219 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type220 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type220 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type221 { get; set; } + public global::Google.Gemini.FileState? Type221 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type222 { get; set; } + public global::Google.Gemini.FileSource? Type222 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type223 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type223 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type224 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type224 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type225 { get; set; } + public global::System.Collections.Generic.IList? Type225 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseDisabledSafetyPolicie? Type226 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type226 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type227 { get; set; } + public global::System.Collections.Generic.IList? Type227 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type228 { get; set; } + public global::System.Collections.Generic.IList? Type228 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type229 { get; set; } + public global::Google.Gemini.GoogleMaps? Type229 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type230 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type230 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type231 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type231 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type232 { get; set; } + public global::System.Collections.Generic.IList? Type232 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type233 { get; set; } + public global::Google.Gemini.FileSearch? Type233 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type234 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type234 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type235 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type235 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type236 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type236 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type237 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type237 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type238 { get; set; } + public global::Google.Gemini.TunedModelState? Type238 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type239 { get; set; } + public global::Google.Gemini.TunedModelSource? Type239 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type240 { get; set; } + public global::Google.Gemini.DocumentState? Type240 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type241 { get; set; } + public global::System.Collections.Generic.Dictionary? Type241 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type242 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type242 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type243 { get; set; } + public global::System.Collections.Generic.IList? Type243 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type244 { get; set; } + public global::Google.Gemini.FileSearchStore? Type244 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type245 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type245 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type246 { get; set; } + public global::System.Collections.Generic.IList? Type246 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type247 { get; set; } + public global::System.Collections.Generic.IList? Type247 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadataServiceTier? Type248 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type248 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? 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; } /// /// /// - public global::System.Collections.Generic.List? ListType3 { get; set; } + public global::System.Collections.Generic.List? ListType3 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType7 { get; set; } + public global::System.Collections.Generic.List? ListType7 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType8 { get; set; } + public global::System.Collections.Generic.List? ListType8 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType9 { get; set; } + public global::System.Collections.Generic.List? ListType9 { get; set; } /// /// /// @@ -1073,31 +1073,31 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - 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; } /// /// /// @@ -1105,51 +1105,51 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - 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 31aabb54..5f9a1bf9 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 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; } + /// + /// Identifier for a part within a `GroundingPassage`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingPassage")] + public global::Google.Gemini.GroundingPassageId? GroundingPassage { 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 part within a `GroundingPassage`. - /// /// /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. /// + /// + /// Identifier for a part within a `GroundingPassage`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public AttributionSourceId( - global::Google.Gemini.GroundingPassageId? groundingPassage, - global::Google.Gemini.SemanticRetrieverChunk? semanticRetrieverChunk) + global::Google.Gemini.SemanticRetrieverChunk? semanticRetrieverChunk, + global::Google.Gemini.GroundingPassageId? groundingPassage) { - this.GroundingPassage = groundingPassage; this.SemanticRetrieverChunk = semanticRetrieverChunk; + this.GroundingPassage = groundingPassage; } /// 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 40ebd66a..1c2ea192 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 @@ -9,32 +9,32 @@ namespace Google.Gemini public sealed partial class BatchStats { /// - /// Output only. The number of requests that failed to be processed.
+ /// Output only. The number of requests in the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] + public string? RequestCount { 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; } /// - /// Output only. The number of requests that are still pending processing.
+ /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] - public string? PendingRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] + public string? SuccessfulRequestCount { get; set; } /// - /// Output only. The number of requests in the batch.
+ /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { 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 failed to be processed.
- /// Included only in responses - /// - /// - /// Output only. The number of requests that were successfully processed.
+ /// + /// Output only. The number of requests in the batch.
/// Included only in responses /// /// /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - /// - /// Output only. The number of requests in the batch.
+ /// + /// Output only. The number of requests that were successfully processed.
+ /// Included only in responses + /// + /// + /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( - string? failedRequestCount, - string? successfulRequestCount, + string? requestCount, string? pendingRequestCount, - string? requestCount) + string? successfulRequestCount, + string? failedRequestCount) { - this.FailedRequestCount = failedRequestCount; - this.SuccessfulRequestCount = successfulRequestCount; - this.PendingRequestCount = pendingRequestCount; this.RequestCount = requestCount; + this.PendingRequestCount = pendingRequestCount; + this.SuccessfulRequestCount = successfulRequestCount; + this.FailedRequestCount = failedRequestCount; } /// 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 c0ceeab7..29b49a37 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 @@ -9,22 +9,22 @@ namespace Google.Gemini public sealed partial class CachedContent { /// - /// Optional. Input only. Immutable. The content to cache. + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { 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. + /// Input only. New TTL for this resource, input only. /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] + public string? Ttl { get; set; } /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` @@ -32,6 +32,18 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("model")] public string? Model { get; set; } + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } + + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } + /// /// Output only. When the cache entry was last updated in UTC time.
/// Included only in responses @@ -53,12 +65,6 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { get; set; } - /// - /// Input only. New TTL for this resource, input only. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { get; set; } - /// /// Metadata on the usage of the cached content. /// @@ -72,16 +78,10 @@ public sealed partial class CachedContent public string? ExpireTime { get; set; } /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// Optional. Input only. Immutable. The content to cache. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -92,8 +92,17 @@ public sealed partial class CachedContent /// /// Initializes a new instance of the class. /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response @@ -101,9 +110,6 @@ public sealed partial class CachedContent /// /// 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. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// /// /// Output only. When the cache entry was last updated in UTC time.
/// Included only in responses @@ -116,50 +122,44 @@ public sealed partial class CachedContent /// Output only. Creation time of the cache entry.
/// Included only in responses /// - /// - /// Input only. New TTL for this resource, input only. - /// /// /// Metadata on the usage of the cached content. /// /// /// 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Input only. Immutable. The content to cache. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( - global::System.Collections.Generic.IList? contents, + string? displayName, + global::Google.Gemini.ToolConfig? toolConfig, + string? ttl, + string? model, global::System.Collections.Generic.IList? tools, global::Google.Gemini.Content? systemInstruction, - string? model, string? updateTime, string? name, string? createTime, - string? ttl, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, string? expireTime, - string? displayName, - global::Google.Gemini.ToolConfig? toolConfig) + global::System.Collections.Generic.IList? contents) { - this.Contents = contents; + this.DisplayName = displayName; + this.ToolConfig = toolConfig; + this.Ttl = ttl; + this.Model = model; this.Tools = tools; this.SystemInstruction = systemInstruction; - this.Model = model; this.UpdateTime = updateTime; this.Name = name; this.CreateTime = createTime; - this.Ttl = ttl; this.UsageMetadata = usageMetadata; this.ExpireTime = expireTime; - this.DisplayName = displayName; - this.ToolConfig = toolConfig; + this.Contents = contents; } /// 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 73d35fa8..26750210 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 @@ -17,37 +17,10 @@ public sealed partial class Candidate public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] - public double? AvgLogprobs { get; set; } - - /// - /// Logprobs Result - /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] - public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } - - /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } - - /// - /// Metadata returned to client when grounding is enabled. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] - public global::Google.Gemini.GroundingMetadata? GroundingMetadata { 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 + /// Metadata related to url context retrieval tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] - public string? FinishMessage { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] + public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// /// Output only. Token count for this candidate.
@@ -63,11 +36,11 @@ public sealed partial class Candidate public global::Google.Gemini.Content? Content { get; set; } /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// 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("groundingAttributions")] - public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } /// /// A collection of source attributions for a piece of content. @@ -76,10 +49,10 @@ public sealed partial class Candidate public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } /// - /// Metadata related to url context retrieval tool. + /// Logprobs Result /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] - public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] + public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } /// /// List of ratings for the safety of a response candidate. There is at most one rating per category. @@ -87,6 +60,33 @@ public sealed partial class Candidate [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + /// + /// Metadata returned to client when grounding is enabled. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] + public global::Google.Gemini.GroundingMetadata? GroundingMetadata { 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.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] + public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } + + /// + /// Output only. Average log probability score of the candidate.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] + public double? AvgLogprobs { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -100,23 +100,8 @@ public sealed partial class Candidate /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// - /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses - /// - /// - /// Logprobs Result - /// - /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses - /// - /// - /// Metadata returned to client when grounding is enabled. - /// - /// - /// 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 + /// + /// Metadata related to url context retrieval tool. /// /// /// Output only. Token count for this candidate.
@@ -125,48 +110,63 @@ public sealed partial class Candidate /// /// 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.
+ /// + /// 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 /// /// /// A collection of source attributions for a piece of content. /// - /// - /// Metadata related to url context retrieval tool. + /// + /// Logprobs Result /// /// /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// + /// + /// Metadata returned to client when grounding is enabled. + /// + /// + /// 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.
+ /// Included only in responses + /// + /// + /// Output only. Average log probability score of the candidate.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( global::Google.Gemini.CandidateFinishReason? finishReason, - double? avgLogprobs, - global::Google.Gemini.LogprobsResult? logprobsResult, - int? index, - global::Google.Gemini.GroundingMetadata? groundingMetadata, - string? finishMessage, + global::Google.Gemini.UrlContextMetadata? urlContextMetadata, int? tokenCount, global::Google.Gemini.Content? content, - global::System.Collections.Generic.IList? groundingAttributions, + string? finishMessage, global::Google.Gemini.CitationMetadata? citationMetadata, - global::Google.Gemini.UrlContextMetadata? urlContextMetadata, - global::System.Collections.Generic.IList? safetyRatings) + global::Google.Gemini.LogprobsResult? logprobsResult, + global::System.Collections.Generic.IList? safetyRatings, + global::Google.Gemini.GroundingMetadata? groundingMetadata, + int? index, + global::System.Collections.Generic.IList? groundingAttributions, + double? avgLogprobs) { this.FinishReason = finishReason; - this.AvgLogprobs = avgLogprobs; - this.LogprobsResult = logprobsResult; - this.Index = index; - this.GroundingMetadata = groundingMetadata; - this.FinishMessage = finishMessage; + this.UrlContextMetadata = urlContextMetadata; this.TokenCount = tokenCount; this.Content = content; - this.GroundingAttributions = groundingAttributions; + this.FinishMessage = finishMessage; this.CitationMetadata = citationMetadata; - this.UrlContextMetadata = urlContextMetadata; + this.LogprobsResult = logprobsResult; this.SafetyRatings = safetyRatings; + this.GroundingMetadata = groundingMetadata; + this.Index = index; + this.GroundingAttributions = groundingAttributions; + this.AvgLogprobs = avgLogprobs; } /// 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 38c4e4b1..faa62191 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class CitationSource { /// - /// Optional. End of the attributed segment, exclusive. - /// - [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. + /// 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("startIndex")] - public int? StartIndex { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("license")] + public string? License { get; set; } /// /// Optional. URI that is attributed as a source for a portion of the text. @@ -27,10 +21,16 @@ public sealed partial class CitationSource public string? Uri { get; set; } /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. + /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. /// - [global::System.Text.Json.Serialization.JsonPropertyName("license")] - public string? License { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] + public int? StartIndex { get; set; } + + /// + /// Optional. End of the attributed segment, exclusive. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class CitationSource /// /// Initializes a new instance of the class. /// - /// - /// 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. + /// + /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. /// /// /// Optional. URI that is attributed as a source for a portion of the text. /// - /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. + /// + /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. + /// + /// + /// Optional. End of the attributed segment, exclusive. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( - int? endIndex, - int? startIndex, + string? license, string? uri, - string? license) + int? startIndex, + int? endIndex) { - this.EndIndex = endIndex; - this.StartIndex = startIndex; - this.Uri = uri; this.License = license; + this.Uri = uri; + this.StartIndex = startIndex; + this.EndIndex = endIndex; } /// 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 07cc01bb..e99db76e 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 @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class ComputerUse { + /// + /// Required. The environment being operated. + /// + [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. /// @@ -26,13 +33,6 @@ public sealed partial class ComputerUse [global::System.Text.Json.Serialization.JsonPropertyName("excludedPredefinedFunctions")] public global::System.Collections.Generic.IList? ExcludedPredefinedFunctions { get; set; } - /// - /// Required. The environment being operated. - /// - [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; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -42,6 +42,9 @@ public sealed partial class ComputerUse /// /// Initializes a new instance of the class. /// + /// + /// Required. The environment being operated. + /// /// /// Optional. Whether enable the prompt injection detection check on computer-use request. /// @@ -51,22 +54,19 @@ 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. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ComputerUse( + global::Google.Gemini.ComputerUseEnvironment? environment, bool? enablePromptInjectionDetection, global::System.Collections.Generic.IList? disabledSafetyPolicies, - global::System.Collections.Generic.IList? excludedPredefinedFunctions, - global::Google.Gemini.ComputerUseEnvironment? environment) + global::System.Collections.Generic.IList? excludedPredefinedFunctions) { + this.Environment = environment; this.EnablePromptInjectionDetection = enablePromptInjectionDetection; this.DisabledSafetyPolicies = disabledSafetyPolicies; this.ExcludedPredefinedFunctions = excludedPredefinedFunctions; - this.Environment = environment; } /// 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.Corpus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs index cd6f9195..803c44e9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs @@ -14,6 +14,13 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } + /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses @@ -28,13 +35,6 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } - /// - /// Output only. The Timestamp of when the `Corpus` was created.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,6 +47,10 @@ public sealed partial class Corpus /// /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// + /// + /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Included only in responses + /// /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses @@ -55,23 +59,19 @@ public sealed partial class Corpus /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `Corpus` was created.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( string? displayName, + string? createTime, string? updateTime, - string? name, - string? createTime) + string? name) { this.DisplayName = displayName; + this.CreateTime = createTime; this.UpdateTime = updateTime; this.Name = name; - this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs index f96a5986..609093fd 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class CountTokensResponse { /// - /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// Number of tokens in the cached part of the prompt (the cached content). /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] - public int? TotalTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// /// Output only. List of modalities that were processed in the request input.
@@ -21,6 +21,12 @@ public sealed partial class CountTokensResponse [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + /// + /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] + public int? TotalTokens { get; set; } + /// /// Output only. List of modalities that were processed in the cached content.
/// Included only in responses @@ -28,12 +34,6 @@ public sealed partial class CountTokensResponse [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } - /// - /// Number of tokens in the cached part of the prompt (the cached content). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -43,33 +43,33 @@ public sealed partial class CountTokensResponse /// /// Initializes a new instance of the class. /// - /// - /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// + /// Number of tokens in the cached part of the prompt (the cached content). /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// + /// + /// 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.
/// Included only in responses /// - /// - /// Number of tokens in the cached part of the prompt (the cached content). - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( - int? totalTokens, + int? cachedContentTokenCount, global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? cacheTokensDetails, - int? cachedContentTokenCount) + int? totalTokens, + global::System.Collections.Generic.IList? cacheTokensDetails) { - this.TotalTokens = totalTokens; + this.CachedContentTokenCount = cachedContentTokenCount; this.PromptTokensDetails = promptTokensDetails; + this.TotalTokens = totalTokens; this.CacheTokensDetails = cacheTokensDetails; - 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 fcaac99b..a9dd0222 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 @@ -15,16 +15,10 @@ public sealed partial class CustomLongRunningOperation public object? Response { 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}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// 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("metadata")] - public object? Metadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { 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. @@ -33,10 +27,16 @@ public sealed partial class CustomLongRunningOperation public bool? Done { get; set; } /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -50,33 +50,33 @@ public sealed partial class CustomLongRunningOperation /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// /// /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// /// /// 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 CustomLongRunningOperation( object? response, - string? name, - object? metadata, + global::Google.Gemini.Status? error, bool? done, - global::Google.Gemini.Status? error) + string? name, + object? metadata) { this.Response = response; + this.Error = error; + this.Done = done; this.Name = name; this.Metadata = metadata; - this.Done = done; - this.Error = error; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs index d30ea6b0..1ff420e8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class CustomMetadata { /// - /// Required. The key of the metadata to store. + /// The numeric value of the metadata to store. /// - [global::System.Text.Json.Serialization.JsonPropertyName("key")] - public string? Key { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] + public float? NumericValue { get; set; } /// - /// User provided string values assigned to a single metadata key. + /// Required. The key of the metadata to store. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.StringList? StringListValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("key")] + public string? Key { get; set; } /// /// The string value of the metadata to store. @@ -27,10 +27,10 @@ public sealed partial class CustomMetadata public string? StringValue { get; set; } /// - /// The numeric value of the metadata to store. + /// User provided string values assigned to a single metadata key. /// - [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] - public float? NumericValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] + public global::Google.Gemini.StringList? StringListValue { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class CustomMetadata /// /// Initializes a new instance of the class. /// + /// + /// The numeric value of the metadata to store. + /// /// /// Required. The key of the metadata to store. /// - /// - /// User provided string values assigned to a single metadata key. - /// /// /// The string value of the metadata to store. /// - /// - /// The numeric value of the metadata to store. + /// + /// User provided string values assigned to a single metadata key. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( + float? numericValue, string? key, - global::Google.Gemini.StringList? stringListValue, string? stringValue, - float? numericValue) + global::Google.Gemini.StringList? stringListValue) { + this.NumericValue = numericValue; this.Key = key; - this.StringListValue = stringListValue; this.StringValue = stringValue; - this.NumericValue = numericValue; + this.StringListValue = stringListValue; } /// 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 825cba89..8089778a 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 @@ -9,24 +9,17 @@ namespace Google.Gemini public sealed partial class Document { /// - /// Output only. The size of raw bytes ingested into the Document.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } - - /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// 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("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { 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; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Output only. Current state of the `Document`.
@@ -37,10 +30,11 @@ public sealed partial class Document public global::Google.Gemini.DocumentState? State { get; set; } /// - /// 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 mime type of the Document.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { 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" @@ -49,18 +43,24 @@ public sealed partial class Document public string? DisplayName { get; set; } /// - /// Output only. The mime type of the Document.
+ /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. The Timestamp of when the `Document` was last updated.
+ /// Output only. The size of raw bytes ingested into the Document.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [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; } /// /// 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 size of raw bytes ingested into the Document.
- /// Included only in responses - /// - /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. /// - /// - /// Output only. The Timestamp of when the `Document` was created.
+ /// + /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// /// /// Output only. Current state 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`. + /// + /// Output only. The mime type of the Document.
+ /// 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. The mime type of the Document.
+ /// + /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `Document` was last updated.
+ /// + /// 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` + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - string? sizeBytes, - string? name, - string? createTime, - global::Google.Gemini.DocumentState? state, global::System.Collections.Generic.IList? customMetadata, - string? displayName, + string? updateTime, + global::Google.Gemini.DocumentState? state, string? mimeType, - string? updateTime) + string? displayName, + string? createTime, + string? sizeBytes, + string? name) { - this.SizeBytes = sizeBytes; - this.Name = name; - this.CreateTime = createTime; - this.State = state; this.CustomMetadata = customMetadata; - this.DisplayName = displayName; - this.MimeType = mimeType; this.UpdateTime = updateTime; + this.State = state; + this.MimeType = mimeType; + this.DisplayName = displayName; + this.CreateTime = createTime; + this.SizeBytes = sizeBytes; + this.Name = name; } /// 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 d24f558c..9c078b60 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 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; } - - /// - /// 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 time at which the batch was last updated.
/// Included only in responses @@ -28,19 +16,22 @@ public sealed partial class EmbedContentBatch public string? UpdateTime { get; set; } /// - /// Output only. The state of the batch.
- /// Included only in responses + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] - public global::Google.Gemini.EmbedContentBatchState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } + + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } /// /// Stats about the batch. @@ -55,11 +46,18 @@ public sealed partial class EmbedContentBatch public string? DisplayName { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// 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 /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] + public global::Google.Gemini.EmbedContentBatchState? State { get; set; } /// /// Output only. The time at which the batch was created.
@@ -69,16 +67,18 @@ public sealed partial class EmbedContentBatch public string? CreateTime { 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; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,23 +89,18 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Configures the input to the batch request. - /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - /// - /// Output only. The state of the batch.
- /// Included only in responses + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Output only. The time at which the batch processing completed.
- /// 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 `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// /// /// Stats about the batch. @@ -113,47 +108,52 @@ public sealed partial class EmbedContentBatch /// /// Required. The user-defined name of this batch. /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// + /// Configures the input to the batch request. + /// + /// + /// Output only. The state of the batch.
/// Included only in responses /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( - string? model, - global::Google.Gemini.InputEmbedContentConfig? inputConfig, string? updateTime, - global::Google.Gemini.EmbedContentBatchState? state, - string? endTime, + string? priority, + string? model, + global::Google.Gemini.EmbedContentBatchOutput? output, global::Google.Gemini.EmbedContentBatchStats? batchStats, string? displayName, - string? name, + global::Google.Gemini.InputEmbedContentConfig? inputConfig, + global::Google.Gemini.EmbedContentBatchState? state, string? createTime, - global::Google.Gemini.EmbedContentBatchOutput? output, - string? priority) + string? name, + string? endTime) { - this.Model = model; - this.InputConfig = inputConfig; this.UpdateTime = updateTime; - this.State = state; - this.EndTime = endTime; + this.Priority = priority; + this.Model = model; + this.Output = output; this.BatchStats = batchStats; this.DisplayName = displayName; - this.Name = name; + this.InputConfig = inputConfig; + this.State = state; this.CreateTime = createTime; - this.Output = output; - this.Priority = priority; + this.Name = name; + this.EndTime = endTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs index de6eaccb..f4312aaa 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatchOutput { - /// - /// The responses to the requests in the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] - public global::Google.Gemini.InlinedEmbedContentResponses? InlinedResponses { get; set; } - /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses @@ -21,6 +15,12 @@ public sealed partial class EmbedContentBatchOutput [global::System.Text.Json.Serialization.JsonPropertyName("responsesFile")] public string? ResponsesFile { get; set; } + /// + /// The responses to the requests in the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] + public global::Google.Gemini.InlinedEmbedContentResponses? InlinedResponses { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class EmbedContentBatchOutput /// /// Initializes a new instance of the class. /// - /// - /// The responses to the requests in the batch. - /// /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses /// + /// + /// The responses to the requests in the batch. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchOutput( - global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses, - string? responsesFile) + string? responsesFile, + global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses) { - this.InlinedResponses = inlinedResponses; this.ResponsesFile = responsesFile; + this.InlinedResponses = inlinedResponses; } /// 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..97b3e201 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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatchStats { - /// - /// Output only. The number of requests that were successfully processed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } - /// /// Output only. The number of requests that are still pending processing.
/// Included only in responses @@ -23,11 +16,11 @@ public sealed partial class EmbedContentBatchStats public string? PendingRequestCount { get; set; } /// - /// Output only. The number of requests in the batch.
+ /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] + public string? SuccessfulRequestCount { get; set; } /// /// Output only. The number of requests that failed to be processed.
@@ -36,6 +29,13 @@ public sealed partial class EmbedContentBatchStats [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] public string? FailedRequestCount { 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -45,35 +45,35 @@ public sealed partial class EmbedContentBatchStats /// /// Initializes a new instance of the class. /// - /// - /// 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 /// - /// - /// Output only. The number of requests in the batch.
+ /// + /// Output only. The number of requests that were successfully processed.
/// 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 in the batch.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchStats( - string? successfulRequestCount, string? pendingRequestCount, - string? requestCount, - string? failedRequestCount) + string? successfulRequestCount, + string? failedRequestCount, + string? requestCount) { - this.SuccessfulRequestCount = successfulRequestCount; this.PendingRequestCount = pendingRequestCount; - this.RequestCount = requestCount; + this.SuccessfulRequestCount = successfulRequestCount; this.FailedRequestCount = failedRequestCount; + this.RequestCount = requestCount; } /// 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 9f35a7de..10fcfce9 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 @@ -9,17 +9,10 @@ namespace Google.Gemini public sealed partial class EmbedContentConfig { /// - /// Optional. The task type of the embedding. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter))] - public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } - - /// - /// Optional. The title for the text. + /// 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("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + public int? OutputDimensionality { get; set; } /// /// Optional. Whether to extract audio from video content. @@ -27,18 +20,25 @@ public sealed partial class EmbedContentConfig [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] public bool? AudioTrackExtraction { get; set; } - /// - /// 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. Whether to enable OCR for document content. /// [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] public bool? DocumentOcr { get; set; } + /// + /// Optional. The task type of the embedding. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter))] + public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } + + /// + /// Optional. The title for the text. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + /// /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// @@ -54,21 +54,21 @@ public sealed partial class EmbedContentConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. The task type of the embedding. - /// - /// - /// Optional. The title for the text. + /// + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// /// /// Optional. Whether to extract audio from video content. /// - /// - /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. - /// /// /// Optional. Whether to enable OCR for document content. /// + /// + /// Optional. The task type of the embedding. + /// + /// + /// Optional. The title for the text. + /// /// /// 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( - global::Google.Gemini.EmbedContentConfigTaskType? taskType, - string? title, - bool? audioTrackExtraction, int? outputDimensionality, + bool? audioTrackExtraction, bool? documentOcr, + global::Google.Gemini.EmbedContentConfigTaskType? taskType, + string? title, bool? autoTruncate) { - this.TaskType = taskType; - this.Title = title; - this.AudioTrackExtraction = audioTrackExtraction; this.OutputDimensionality = outputDimensionality; + this.AudioTrackExtraction = audioTrackExtraction; this.DocumentOcr = documentOcr; + this.TaskType = taskType; + this.Title = title; 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 9b28e081..be8018bc 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 @@ -11,10 +11,12 @@ namespace Google.Gemini public sealed partial class EmbedContentRequest { /// - /// 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. 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("content")] - public global::Google.Gemini.Content? Content { get; set; } + [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. @@ -22,6 +24,13 @@ public sealed partial class EmbedContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("embedContentConfig")] public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { get; set; } + /// + /// Optional. Deprecated: Please use EmbedContentConfig.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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + [global::System.Obsolete("This property marked as deprecated.")] + public string? Title { 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}` /// @@ -36,19 +45,10 @@ public sealed partial class EmbedContentRequest public int? OutputDimensionality { 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - [global::System.Obsolete("This property marked as deprecated.")] - public string? Title { 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`). + /// 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("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; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { 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. /// - /// - /// 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. - /// /// /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentRequest( - global::Google.Gemini.Content? content, global::Google.Gemini.EmbedContentConfig? embedContentConfig, - string? model) + string? model, + global::Google.Gemini.Content? content) { - this.Content = content; this.EmbedContentConfig = embedContentConfig; this.Model = model; + this.Content = content; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs index 6b1b3f35..ced79a0c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class EmbedContentResponse { - /// - /// A list of floats representing an embedding. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("embedding")] - public global::Google.Gemini.ContentEmbedding? Embedding { get; set; } - /// /// Metadata on the usage of the embedding request. /// [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] public global::Google.Gemini.EmbeddingUsageMetadata? UsageMetadata { get; set; } + /// + /// A list of floats representing an embedding. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("embedding")] + public global::Google.Gemini.ContentEmbedding? Embedding { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class EmbedContentResponse /// /// Initializes a new instance of the class. /// - /// - /// A list of floats representing an embedding. - /// /// /// Metadata on the usage of the embedding request. /// + /// + /// A list of floats representing an embedding. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentResponse( - global::Google.Gemini.ContentEmbedding? embedding, - global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata) + global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata, + global::Google.Gemini.ContentEmbedding? embedding) { - this.Embedding = embedding; this.UsageMetadata = usageMetadata; + this.Embedding = embedding; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs index 6e97e648..9c3d0c7f 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 @@ -9,67 +9,72 @@ namespace Google.Gemini public sealed partial class File { /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Output only. The download uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] - public byte[]? Sha256Hash { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { get; set; } /// - /// Output only. Processing state of the File.
- /// Included only in responses + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] - public global::Google.Gemini.FileState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// Output only. MIME type 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("mimeType")] + public string? MimeType { get; set; } /// - /// Output only. The uri of the `File`.
+ /// Output only. Processing state of the File.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] + public global::Google.Gemini.FileState? State { get; set; } /// - /// Output only. The download uri of the `File`.
- /// Included only in responses + /// 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("downloadUri")] - public string? DownloadUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. Size of the file in bytes.
+ /// Source of the File. + /// + [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. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// Metadata for a video `File`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } /// - /// Output only. MIME type of the file.
+ /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Source of the File. + /// Output only. Size of the file in bytes.
+ /// 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("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` @@ -78,30 +83,25 @@ public sealed partial class File public string? Name { get; set; } /// - /// Output only. The timestamp of when the `File` was created.
+ /// Output only. The uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - - /// - /// Metadata for a video `File`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - public global::Google.Gemini.VideoFileMetadata? VideoMetadata { 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" + /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] + public byte[]? Sha256Hash { get; set; } /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -112,30 +112,10 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// - /// - /// Output only. SHA-256 hash of the uploaded bytes.
- /// Included only in responses - /// - /// - /// Output only. Processing state of the File.
- /// Included only in responses - /// - /// - /// Output only. The timestamp of when the `File` was last updated.
- /// Included only in responses - /// - /// - /// Output only. The uri of the `File`.
- /// Included only in responses - /// /// /// Output only. The download uri of the `File`.
/// Included only in responses /// - /// - /// Output only. Size of the file in bytes.
- /// 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). /// @@ -143,59 +123,79 @@ public sealed partial class File /// Output only. MIME type of the file.
/// Included only in responses /// + /// + /// Output only. Processing state of the File.
+ /// Included only in responses + /// + /// + /// 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. /// - /// - /// 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 timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Included only in responses + /// + /// + /// Metadata for a video `File`. /// /// /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - /// - /// Metadata for a video `File`. + /// + /// Output only. Size of the file in bytes.
+ /// Included only in responses /// - /// - /// 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" + /// + /// 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 timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// + /// Output only. The uri of the `File`.
+ /// Included only in responses + /// + /// + /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Included only in responses + /// + /// + /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - byte[]? sha256Hash, - global::Google.Gemini.FileState? state, - string? updateTime, - string? uri, string? downloadUri, - string? sizeBytes, global::Google.Gemini.Status? error, string? mimeType, + global::Google.Gemini.FileState? state, + string? displayName, global::Google.Gemini.FileSource? source, - string? name, - string? createTime, + string? expirationTime, global::Google.Gemini.VideoFileMetadata? videoMetadata, - string? displayName, - string? expirationTime) + string? createTime, + string? sizeBytes, + string? name, + string? uri, + byte[]? sha256Hash, + string? updateTime) { - this.Sha256Hash = sha256Hash; - this.State = state; - this.UpdateTime = updateTime; - this.Uri = uri; this.DownloadUri = downloadUri; - this.SizeBytes = sizeBytes; this.Error = error; this.MimeType = mimeType; - this.Source = source; - this.Name = name; - this.CreateTime = createTime; - this.VideoMetadata = videoMetadata; + this.State = state; this.DisplayName = displayName; + this.Source = source; this.ExpirationTime = expirationTime; + this.VideoMetadata = videoMetadata; + this.CreateTime = createTime; + this.SizeBytes = sizeBytes; + this.Name = name; + this.Uri = uri; + this.Sha256Hash = sha256Hash; + this.UpdateTime = updateTime; } /// 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 b879641a..fc8fdc8c 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 { - /// - /// 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; } + /// + /// Optional. The IANA standard MIME type of the source data. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class FileData /// /// Initializes a new instance of the class. /// - /// - /// Optional. The IANA standard MIME type of the source data. - /// /// /// Required. URI. /// + /// + /// Optional. The IANA standard MIME type of the source data. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileData( - string? mimeType, - string? fileUri) + string? fileUri, + string? mimeType) { - this.MimeType = mimeType; this.FileUri = fileUri; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs index a5f4c4de..9d971733 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs @@ -14,18 +14,18 @@ public sealed partial class FileSearch [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStoreNames")] public global::System.Collections.Generic.IList? FileSearchStoreNames { get; set; } - /// - /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] - public string? MetadataFilter { get; set; } - /// /// Optional. The number of semantic retrieval chunks to retrieve. /// [global::System.Text.Json.Serialization.JsonPropertyName("topK")] public int? TopK { get; set; } + /// + /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] + public string? MetadataFilter { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class FileSearch /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// - /// - /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. - /// /// /// Optional. The number of semantic retrieval chunks to retrieve. /// + /// + /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( global::System.Collections.Generic.IList? fileSearchStoreNames, - string? metadataFilter, - int? topK) + int? topK, + string? metadataFilter) { this.FileSearchStoreNames = fileSearchStoreNames; - this.MetadataFilter = metadataFilter; this.TopK = topK; + this.MetadataFilter = metadataFilter; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs index 35e2d22d..b7b46b83 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs @@ -9,11 +9,18 @@ namespace Google.Gemini public sealed partial class FileSearchStore { /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// 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 /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { 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. @@ -29,45 +36,38 @@ public sealed partial class FileSearchStore public string? SizeBytes { get; set; } /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] - public string? ActiveDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { get; set; } /// - /// 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 + /// 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("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] + public string? PendingDocumentsCount { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// 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("pendingDocumentsCount")] - public string? PendingDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] + public string? ActiveDocumentsCount { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] - public string? FailedDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -78,8 +78,12 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// + /// 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 Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// /// @@ -89,52 +93,48 @@ public sealed partial class FileSearchStore /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
- /// Included only in responses - /// - /// - /// 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.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
- /// Included only in responses + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// /// /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - /// - /// 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 last updated.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? updateTime, + string? name, + string? createTime, string? embeddingModel, string? sizeBytes, + string? failedDocumentsCount, string? displayName, - string? activeDocumentsCount, - string? name, - string? createTime, string? pendingDocumentsCount, - string? failedDocumentsCount) + string? activeDocumentsCount, + string? updateTime) { - this.UpdateTime = updateTime; + this.Name = name; + this.CreateTime = createTime; this.EmbeddingModel = embeddingModel; this.SizeBytes = sizeBytes; + this.FailedDocumentsCount = failedDocumentsCount; this.DisplayName = displayName; - this.ActiveDocumentsCount = activeDocumentsCount; - this.Name = name; - this.CreateTime = createTime; this.PendingDocumentsCount = pendingDocumentsCount; - this.FailedDocumentsCount = failedDocumentsCount; + this.ActiveDocumentsCount = activeDocumentsCount; + this.UpdateTime = updateTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs index aeca76b6..90e693fe 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FunctionCall { - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Optional. The function parameters and values in JSON object format. /// @@ -26,6 +20,12 @@ public sealed partial class FunctionCall [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FunctionCall /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// /// /// Optional. The function parameters and values in JSON object format. /// /// /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. /// + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( - string? name, object? args, - string? id) + string? id, + string? name) { - this.Name = name; this.Args = args; this.Id = id; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs index a03827d5..7f933512 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 @@ -8,6 +8,12 @@ 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. /// @@ -15,12 +21,6 @@ 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. 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. /// + /// + /// Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCallingConfig( - global::Google.Gemini.FunctionCallingConfigMode? mode, - global::System.Collections.Generic.IList? allowedFunctionNames) + global::System.Collections.Generic.IList? allowedFunctionNames, + global::Google.Gemini.FunctionCallingConfigMode? mode) { - this.Mode = mode; this.AllowedFunctionNames = allowedFunctionNames; + this.Mode = mode; } /// 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 dc3519de..437d3524 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 @@ -9,11 +9,16 @@ namespace Google.Gemini public sealed partial class FunctionDeclaration { /// - /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. + /// 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("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("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; } /// /// 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`. @@ -24,20 +29,21 @@ 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). /// - [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] - public global::Google.Gemini.Schema? Parameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.Schema? Response { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.Schema? Response { 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; } /// - /// 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("parameters")] + public global::Google.Gemini.Schema? Parameters { get; set; } /// /// Required. A brief description of the function. @@ -45,12 +51,6 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonPropertyName("description")] public string? Description { 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. /// - /// - /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. + /// + /// 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`. /// /// /// 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`. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// 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. 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. A brief description of the function. /// - /// - /// 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.FunctionDeclarationBehavior? behavior, + string? name, + object? responseJsonSchema, object? parametersJsonSchema, - global::Google.Gemini.Schema? parameters, global::Google.Gemini.Schema? response, - string? name, - string? description, - object? responseJsonSchema) + global::Google.Gemini.FunctionDeclarationBehavior? behavior, + global::Google.Gemini.Schema? parameters, + string? description) { - this.Behavior = behavior; + this.Name = name; + this.ResponseJsonSchema = responseJsonSchema; this.ParametersJsonSchema = parametersJsonSchema; - this.Parameters = parameters; this.Response = response; - this.Name = name; + this.Behavior = behavior; + this.Parameters = parameters; this.Description = description; - this.ResponseJsonSchema = responseJsonSchema; } /// 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 15c3ad8d..3d0a27a0 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 @@ -14,6 +14,12 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// 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 "$ref" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal. /// @@ -26,12 +32,6 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonPropertyName("parts")] public global::System.Collections.Generic.IList? Parts { get; set; } - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// @@ -57,15 +57,15 @@ public sealed partial class FunctionResponse /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// /// /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. Multimedia can be included by using a subobject containing a single "$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. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - /// - /// 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. 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`. /// @@ -77,16 +77,16 @@ public sealed partial class FunctionResponse #endif public FunctionResponse( string? id, + string? name, object? response, global::System.Collections.Generic.IList? parts, - string? name, bool? willContinue, global::Google.Gemini.FunctionResponseScheduling? scheduling) { this.Id = id; + this.Name = name; this.Response = response; this.Parts = parts; - this.Name = name; this.WillContinue = willContinue; this.Scheduling = scheduling; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs index 31b298b5..cfb8d610 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class GenerateContentBatch { - /// - /// 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; } - /// /// Configures the input to the batch request. /// @@ -21,26 +15,16 @@ public sealed partial class GenerateContentBatch public global::Google.Gemini.InputConfig? InputConfig { 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 state of the batch.
- /// Included only in responses + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] - public global::Google.Gemini.GenerateContentBatchState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Output only. The time at which the batch processing completed.
- /// 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("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } /// /// Stats about the batch. @@ -54,6 +38,19 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { 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; } + /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses @@ -62,23 +59,26 @@ public sealed partial class GenerateContentBatch public string? Name { get; set; } /// - /// Output only. The time at which the batch was created.
+ /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// - /// 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 created.
+ /// 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("createTime")] + public string? CreateTime { get; set; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// Output only. The state of the batch.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] + public global::Google.Gemini.GenerateContentBatchState? State { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,23 +89,14 @@ public sealed partial class GenerateContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// Configures the input to the batch request. /// - /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses - /// - /// - /// 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}`. /// - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// /// /// Stats about the batch. @@ -113,47 +104,56 @@ public sealed partial class GenerateContentBatch /// /// Required. The user-defined name of this batch. /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// + /// Output only. The time at which the batch was last updated.
+ /// 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 processing completed.
+ /// Included only in responses + /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// - /// - /// 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 state of the batch.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( - string? model, global::Google.Gemini.InputConfig? inputConfig, - string? updateTime, - global::Google.Gemini.GenerateContentBatchState? state, - string? endTime, + string? model, + global::Google.Gemini.GenerateContentBatchOutput? output, global::Google.Gemini.BatchStats? batchStats, string? displayName, + string? priority, + string? updateTime, string? name, + string? endTime, string? createTime, - global::Google.Gemini.GenerateContentBatchOutput? output, - string? priority) + global::Google.Gemini.GenerateContentBatchState? state) { - this.Model = model; this.InputConfig = inputConfig; - this.UpdateTime = updateTime; - this.State = state; - this.EndTime = endTime; + this.Model = model; + this.Output = output; this.BatchStats = batchStats; this.DisplayName = displayName; + this.Priority = priority; + this.UpdateTime = updateTime; this.Name = name; + this.EndTime = endTime; this.CreateTime = createTime; - this.Output = output; - this.Priority = priority; + this.State = state; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs index bb020165..c34eb311 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GenerateContentBatchOutput { + /// + /// The responses to the requests in the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] + public global::Google.Gemini.InlinedResponses? InlinedResponses { get; set; } + /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses @@ -15,12 +21,6 @@ public sealed partial class GenerateContentBatchOutput [global::System.Text.Json.Serialization.JsonPropertyName("responsesFile")] public string? ResponsesFile { get; set; } - /// - /// The responses to the requests in the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] - public global::Google.Gemini.InlinedResponses? InlinedResponses { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class GenerateContentBatchOutput /// /// Initializes a new instance of the class. /// + /// + /// The responses to the requests in the batch. + /// /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses /// - /// - /// The responses to the requests in the batch. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatchOutput( - string? responsesFile, - global::Google.Gemini.InlinedResponses? inlinedResponses) + global::Google.Gemini.InlinedResponses? inlinedResponses, + string? responsesFile) { - this.ResponsesFile = responsesFile; this.InlinedResponses = inlinedResponses; + this.ResponsesFile = responsesFile; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs index 85252d19..c20f25d3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class GenerateContentRequest { /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] + public string? CachedContent { get; set; } /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -20,19 +20,6 @@ public sealed partial class GenerateContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } - /// - /// Optional. The service tier of the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] - public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } - - /// - /// 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("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { 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. /// @@ -40,22 +27,22 @@ public sealed partial class GenerateContentRequest public global::System.Collections.Generic.IList? Contents { 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. + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("store")] + public bool? Store { 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}` + /// 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("cachedContent")] - public string? CachedContent { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] + public global::System.Collections.Generic.IList? SafetySettings { get; set; } /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("store")] - public bool? Store { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -64,10 +51,23 @@ public sealed partial class GenerateContentRequest public string? Model { 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. + /// 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("safetySettings")] - public global::System.Collections.Generic.IList? SafetySettings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } + + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } + + /// + /// Optional. The service tier of the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] + public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } /// /// 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. + /// + /// 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}` /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// 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 content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Optional. 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. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// Optional. 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. + /// + /// + /// 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}`. /// - /// - /// 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. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. The service tier of the request. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( - global::Google.Gemini.ToolConfig? toolConfig, + string? cachedContent, global::Google.Gemini.GenerationConfig? generationConfig, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, - global::Google.Gemini.Content? systemInstruction, global::System.Collections.Generic.IList? contents, - global::System.Collections.Generic.IList? tools, - string? cachedContent, bool? store, + global::System.Collections.Generic.IList? safetySettings, + global::Google.Gemini.ToolConfig? toolConfig, string? model, - global::System.Collections.Generic.IList? safetySettings) + global::System.Collections.Generic.IList? tools, + global::Google.Gemini.Content? systemInstruction, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier) { - this.ToolConfig = toolConfig; + this.CachedContent = cachedContent; this.GenerationConfig = generationConfig; - this.ServiceTier = serviceTier; - this.SystemInstruction = systemInstruction; this.Contents = contents; - this.Tools = tools; - this.CachedContent = cachedContent; this.Store = store; - this.Model = model; this.SafetySettings = safetySettings; + this.ToolConfig = toolConfig; + this.Model = model; + this.Tools = tools; + this.SystemInstruction = systemInstruction; + this.ServiceTier = serviceTier; } /// 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 d3d811e0..cca280aa 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 { /// - /// Candidate responses from the model. + /// Metadata on the generation request's token usage. /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] - public global::System.Collections.Generic.IList? Candidates { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// Output only. The model version used to generate the response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] - public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] + public string? ModelVersion { get; set; } /// /// Output only. response_id is used to identify each response.
@@ -28,10 +29,10 @@ public sealed partial class GenerateContentResponse public string? ResponseId { get; set; } /// - /// Metadata on the generation request's token usage. + /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] + public global::Google.Gemini.PromptFeedback? PromptFeedback { 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. @@ -40,11 +41,10 @@ public sealed partial class GenerateContentResponse public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } /// - /// Output only. The model version used to generate the response.
- /// Included only in responses + /// Candidate responses from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] - public string? ModelVersion { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] + public global::System.Collections.Generic.IList? Candidates { 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. /// - /// - /// Candidate responses from the model. + /// + /// Metadata on the generation request's token usage. /// - /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// + /// Output only. The model version used to generate the response.
+ /// Included only in responses /// /// /// Output only. response_id is used to identify each response.
/// Included only in responses /// - /// - /// Metadata on the generation request's token usage. + /// + /// 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. /// - /// - /// Output only. The model version used to generate the response.
- /// Included only in responses + /// + /// Candidate responses from the model. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( - global::System.Collections.Generic.IList? candidates, - global::Google.Gemini.PromptFeedback? promptFeedback, - string? responseId, global::Google.Gemini.UsageMetadata? usageMetadata, + string? modelVersion, + string? responseId, + global::Google.Gemini.PromptFeedback? promptFeedback, global::Google.Gemini.ModelStatus? modelStatus, - string? modelVersion) + global::System.Collections.Generic.IList? candidates) { - this.Candidates = candidates; - this.PromptFeedback = promptFeedback; - this.ResponseId = responseId; this.UsageMetadata = usageMetadata; - this.ModelStatus = modelStatus; this.ModelVersion = modelVersion; + this.ResponseId = responseId; + this.PromptFeedback = promptFeedback; + this.ModelStatus = modelStatus; + this.Candidates = candidates; } /// 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 5705409e..37fbf6e0 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 @@ -9,28 +9,34 @@ namespace Google.Gemini public sealed partial class GenerationConfig { /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] + public bool? EnableEnhancedCivicAnswers { get; set; } /// - /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. + /// Optional. 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("responseMimeType")] - public string? ResponseMimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] + public int? CandidateCount { get; set; } /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// Optional. If true, export the logprobs results in response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] + public bool? ResponseLogprobs { get; set; } /// - /// Optional. 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. + /// 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("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] + public global::Google.Gemini.Schema? ResponseSchema { get; set; } + + /// + /// Config for thinking features. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] + public global::Google.Gemini.ThinkingConfig? ThinkingConfig { 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. @@ -39,40 +45,40 @@ public sealed partial class GenerationConfig public float? FrequencyPenalty { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] - public bool? EnableEnhancedCivicAnswers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + 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. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] - public global::System.Collections.Generic.IList? StopSequences { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { 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. 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("candidateCount")] - public int? CandidateCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { 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. + /// 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("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } + [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. + /// 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("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] + public float? PresencePenalty { get; set; } /// - /// Config for thinking features. + /// Config for image generation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] - public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } /// /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. @@ -81,22 +87,16 @@ public sealed partial class GenerationConfig public global::Google.Gemini.ResponseFormatConfig? ResponseFormat { get; set; } /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] - public float? PresencePenalty { get; set; } - - /// - /// Config for speech generation and transcription. + /// 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("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Config for translation features. + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("translationConfig")] - public global::Google.Gemini.TranslationConfig? TranslationConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { 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]. @@ -105,41 +105,41 @@ public sealed partial class GenerationConfig public int? Logprobs { 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. 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("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { 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. + /// Config for translation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] - public bool? ResponseLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("translationConfig")] + public global::Google.Gemini.TranslationConfig? TranslationConfig { get; set; } /// - /// Config for image generation features. + /// Config for speech generation and transcription. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// Optional. If specified, the media resolution specified will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { 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; } /// - /// 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. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] + public int? MaxOutputTokens { get; set; } /// - /// Optional. If specified, the media resolution specified will be used. + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// - [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("responseJsonSchema")] + public object? ResponseJsonSchema { 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. 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. 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. Seed used in decoding. If not set, the request uses a randomly generated seed. - /// - /// - /// 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. 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. - /// /// /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - /// - /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. - /// /// /// 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. 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. 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. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// /// /// Config for thinking features. /// - /// - /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. - /// - /// - /// 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 speech generation and transcription. + /// + /// 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. /// - /// - /// Config for translation features. + /// + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - /// - /// 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. 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. 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. If true, export the logprobs results in response. + /// + /// 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. /// /// /// Config for image generation features. /// - /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// + /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. + /// + /// + /// 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. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// + /// + /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// + /// + /// Config for translation features. + /// + /// + /// Config for speech generation and transcription. + /// /// /// Optional. If specified, the media resolution specified will be used. /// + /// + /// 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. An internal detail. Use `responseJsonSchema` rather than this field. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - float? temperature, - string? responseMimeType, - int? seed, - float? topP, - float? frequencyPenalty, bool? enableEnhancedCivicAnswers, - global::System.Collections.Generic.IList? stopSequences, int? candidateCount, - int? maxOutputTokens, - int? topK, + bool? responseLogprobs, + global::Google.Gemini.Schema? responseSchema, global::Google.Gemini.ThinkingConfig? thinkingConfig, - global::Google.Gemini.ResponseFormatConfig? responseFormat, + float? frequencyPenalty, + float? topP, + int? seed, + float? temperature, + string? responseMimeType, float? presencePenalty, - global::Google.Gemini.SpeechConfig? speechConfig, - global::Google.Gemini.TranslationConfig? translationConfig, - int? logprobs, - global::Google.Gemini.Schema? responseSchema, - bool? responseLogprobs, global::Google.Gemini.ImageConfig? imageConfig, - object? responseJsonSchema, + global::Google.Gemini.ResponseFormatConfig? responseFormat, + int? topK, global::System.Collections.Generic.IList? responseModalities, - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution) + int? logprobs, + global::System.Collections.Generic.IList? stopSequences, + global::Google.Gemini.TranslationConfig? translationConfig, + global::Google.Gemini.SpeechConfig? speechConfig, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, + int? maxOutputTokens, + object? responseJsonSchema) { - this.Temperature = temperature; - this.ResponseMimeType = responseMimeType; - this.Seed = seed; - this.TopP = topP; - this.FrequencyPenalty = frequencyPenalty; this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; - this.StopSequences = stopSequences; this.CandidateCount = candidateCount; - this.MaxOutputTokens = maxOutputTokens; - this.TopK = topK; + this.ResponseLogprobs = responseLogprobs; + this.ResponseSchema = responseSchema; this.ThinkingConfig = thinkingConfig; - this.ResponseFormat = responseFormat; + this.FrequencyPenalty = frequencyPenalty; + this.TopP = topP; + this.Seed = seed; + this.Temperature = temperature; + this.ResponseMimeType = responseMimeType; this.PresencePenalty = presencePenalty; - this.SpeechConfig = speechConfig; - this.TranslationConfig = translationConfig; - this.Logprobs = logprobs; - this.ResponseSchema = responseSchema; - this.ResponseLogprobs = responseLogprobs; this.ImageConfig = imageConfig; - this.ResponseJsonSchema = responseJsonSchema; + this.ResponseFormat = responseFormat; + this.TopK = topK; this.ResponseModalities = responseModalities; + this.Logprobs = logprobs; + this.StopSequences = stopSequences; + this.TranslationConfig = translationConfig; + this.SpeechConfig = speechConfig; this.MediaResolution = mediaResolution; + this.MaxOutputTokens = maxOutputTokens; + this.ResponseJsonSchema = responseJsonSchema; } /// 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 b34f6556..73704ede 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs @@ -14,6 +14,12 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("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. /// @@ -27,12 +33,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] public global::System.Collections.Generic.IList? RenderedParts { get; set; } - /// - /// Optional. 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; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -45,6 +45,9 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// 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. /// @@ -52,22 +55,19 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
/// Included only in responses /// - /// - /// Optional. 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). - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, + global::System.Collections.Generic.IList? groundingChunkIndices, global::System.Collections.Generic.IList? confidenceScores, - global::System.Collections.Generic.IList? renderedParts, - global::System.Collections.Generic.IList? groundingChunkIndices) + global::System.Collections.Generic.IList? renderedParts) { this.Segment = segment; + this.GroundingChunkIndices = groundingChunkIndices; this.ConfidenceScores = confidenceScores; this.RenderedParts = renderedParts; - this.GroundingChunkIndices = groundingChunkIndices; } /// 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 dec5fe8c..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 @@ -14,6 +14,12 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] public int? PartIndex { get; set; } + /// + /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] + public int? StartIndex { get; set; } + /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// @@ -26,12 +32,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [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; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,28 +44,28 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// The index of a Part object within its parent Content object. /// + /// + /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. + /// /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// /// /// 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. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( int? partIndex, + int? startIndex, int? endIndex, - string? text, - int? startIndex) + string? text) { this.PartIndex = partIndex; + this.StartIndex = startIndex; this.EndIndex = endIndex; this.Text = text; - this.StartIndex = startIndex; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs index 72c07004..74828ec0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GoogleSearch { - /// - /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("timeRangeFilter")] - public global::Google.Gemini.Interval? TimeRangeFilter { get; set; } - /// /// Different types of search that can be enabled on the GoogleSearch tool. /// [global::System.Text.Json.Serialization.JsonPropertyName("searchTypes")] public global::Google.Gemini.SearchTypes? SearchTypes { get; set; } + /// + /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("timeRangeFilter")] + public global::Google.Gemini.Interval? TimeRangeFilter { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class GoogleSearch /// /// Initializes a new instance of the class. /// - /// - /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. - /// /// /// Different types of search that can be enabled on the GoogleSearch tool. /// + /// + /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleSearch( - global::Google.Gemini.Interval? timeRangeFilter, - global::Google.Gemini.SearchTypes? searchTypes) + global::Google.Gemini.SearchTypes? searchTypes, + global::Google.Gemini.Interval? timeRangeFilter) { - this.TimeRangeFilter = timeRangeFilter; this.SearchTypes = searchTypes; + this.TimeRangeFilter = timeRangeFilter; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs index 5f952188..87cb92d8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GroundingAttribution { - /// - /// 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; } - /// /// Identifier for the source contributing to this attribution. /// [global::System.Text.Json.Serialization.JsonPropertyName("sourceId")] public global::Google.Gemini.AttributionSourceId? SourceId { 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class GroundingAttribution /// /// Initializes a new instance of the class. /// - /// - /// 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. - /// /// /// Identifier for the source contributing to this attribution. /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingAttribution( - global::Google.Gemini.Content? content, - global::Google.Gemini.AttributionSourceId? sourceId) + global::Google.Gemini.AttributionSourceId? sourceId, + global::Google.Gemini.Content? content) { - this.Content = content; this.SourceId = sourceId; + this.Content = content; } /// 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..8197caca 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 @@ -14,6 +14,12 @@ public sealed partial class GroundingChunk [global::System.Text.Json.Serialization.JsonPropertyName("retrievedContext")] public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } + /// + /// Chunk from image search. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("image")] + public global::Google.Gemini.Image? Image { get; set; } + /// /// Chunk from the web. /// @@ -26,12 +32,6 @@ public sealed partial class GroundingChunk [global::System.Text.Json.Serialization.JsonPropertyName("maps")] public global::Google.Gemini.Maps? Maps { get; set; } - /// - /// Chunk from image search. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("image")] - public global::Google.Gemini.Image? Image { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,28 +44,28 @@ public sealed partial class GroundingChunk /// /// Chunk from context retrieved by the file search tool. /// + /// + /// Chunk from image search. + /// /// /// Chunk from the web. /// /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// - /// - /// Chunk from image search. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( global::Google.Gemini.RetrievedContext? retrievedContext, + global::Google.Gemini.Image? image, global::Google.Gemini.Web? web, - global::Google.Gemini.Maps? maps, - global::Google.Gemini.Image? image) + global::Google.Gemini.Maps? maps) { this.RetrievedContext = retrievedContext; + this.Image = image; this.Web = web; this.Maps = maps; - this.Image = image; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs index 406aef06..6de11c0e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class GroundingChunkCustomMetadata { /// - /// Optional. The string value of the metadata. + /// A list of string values. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] - public string? StringValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] + public global::Google.Gemini.GroundingChunkStringList? StringListValue { get; set; } /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. @@ -20,18 +20,18 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] public float? NumericValue { get; set; } - /// - /// A list of string values. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.GroundingChunkStringList? StringListValue { get; set; } - /// /// The key of the metadata. /// [global::System.Text.Json.Serialization.JsonPropertyName("key")] public string? Key { get; set; } + /// + /// Optional. The string value of the metadata. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] + public string? StringValue { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// Optional. The string value of the metadata. + /// + /// A list of string values. /// /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// - /// - /// A list of string values. - /// /// /// The key of the metadata. /// + /// + /// Optional. The string value of the metadata. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( - string? stringValue, - float? numericValue, global::Google.Gemini.GroundingChunkStringList? stringListValue, - string? key) + float? numericValue, + string? key, + string? stringValue) { - this.StringValue = stringValue; - this.NumericValue = numericValue; this.StringListValue = stringListValue; + this.NumericValue = numericValue; this.Key = key; + this.StringValue = stringValue; } /// 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 562bba31..a595d8a4 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class GroundingMetadata { - /// - /// Google search entry point. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] - public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } - /// /// Web search queries for the following-up web search. /// @@ -21,28 +15,28 @@ public sealed partial class GroundingMetadata 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; } /// - /// Image search queries used for grounding. + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] - public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] + public global::System.Collections.Generic.IList? GroundingChunks { 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; } /// - /// 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. + /// List of grounding support. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] - public global::System.Collections.Generic.IList? GroundingChunks { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] + public global::System.Collections.Generic.IList? GroundingSupports { 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. @@ -50,6 +44,12 @@ public sealed partial class GroundingMetadata [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] public string? GoogleMapsWidgetContextToken { get; set; } + /// + /// Metadata related to retrieval in the grounding flow. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] + public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { 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. /// - /// - /// Google search entry point. - /// /// /// Web search queries for the following-up web search. /// - /// - /// List of grounding support. + /// + /// Google search entry point. + /// + /// + /// 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. /// /// /// Image search queries used for grounding. /// - /// - /// 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. + /// + /// List of grounding support. /// /// /// 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. /// + /// + /// Metadata related to retrieval in the grounding flow. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::Google.Gemini.SearchEntryPoint? searchEntryPoint, global::System.Collections.Generic.IList? webSearchQueries, - global::System.Collections.Generic.IList? groundingSupports, - global::System.Collections.Generic.IList? imageSearchQueries, - global::Google.Gemini.RetrievalMetadata? retrievalMetadata, + global::Google.Gemini.SearchEntryPoint? searchEntryPoint, global::System.Collections.Generic.IList? groundingChunks, - string? googleMapsWidgetContextToken) + global::System.Collections.Generic.IList? imageSearchQueries, + global::System.Collections.Generic.IList? groundingSupports, + string? googleMapsWidgetContextToken, + global::Google.Gemini.RetrievalMetadata? retrievalMetadata) { - this.SearchEntryPoint = searchEntryPoint; this.WebSearchQueries = webSearchQueries; - this.GroundingSupports = groundingSupports; - this.ImageSearchQueries = imageSearchQueries; - this.RetrievalMetadata = retrievalMetadata; + this.SearchEntryPoint = searchEntryPoint; this.GroundingChunks = groundingChunks; + this.ImageSearchQueries = imageSearchQueries; + this.GroundingSupports = groundingSupports; this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; + this.RetrievalMetadata = retrievalMetadata; } /// 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 a49435d1..d3e86773 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 @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Hyperparameters { - /// - /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] - public float? LearningRate { get; set; } - /// /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] public float? LearningRateMultiplier { get; set; } + /// + /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("epochCount")] + public int? EpochCount { 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. /// @@ -27,10 +27,10 @@ public sealed partial class Hyperparameters public int? BatchSize { 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. + /// 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("epochCount")] - public int? EpochCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] + public float? LearningRate { 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 hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. - /// /// /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// + /// + /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. + /// /// /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// - /// - /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( - float? learningRate, float? learningRateMultiplier, + int? epochCount, int? batchSize, - int? epochCount) + float? learningRate) { - this.LearningRate = learningRate; this.LearningRateMultiplier = learningRateMultiplier; - this.BatchSize = batchSize; this.EpochCount = epochCount; + this.BatchSize = batchSize; + this.LearningRate = learningRate; } /// 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 39c18fbf..242f184c 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 @@ -14,6 +14,12 @@ public sealed partial class Image [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] public string? SourceUri { get; set; } + /// + /// The title of the web page that the image is from. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + /// /// The root domain of the web page that the image is from, e.g. "example.com". /// @@ -26,12 +32,6 @@ public sealed partial class Image [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] public string? ImageUri { get; set; } - /// - /// The title of the web page that the image is from. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,28 +44,28 @@ public sealed partial class Image /// /// The web page URI for attribution. /// + /// + /// The title of the web page that the image is from. + /// /// /// The root domain of the web page that the image is from, e.g. "example.com". /// /// /// The image asset URL. /// - /// - /// The title of the web page that the image is from. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( string? sourceUri, + string? title, string? domain, - string? imageUri, - string? title) + string? imageUri) { this.SourceUri = sourceUri; + this.Title = title; this.Domain = domain; this.ImageUri = imageUri; - this.Title = title; } /// 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 e876f9ed..7f21751e 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 @@ -22,13 +22,6 @@ public sealed partial class ImageResponseFormat [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter))] public global::Google.Gemini.ImageResponseFormatDelivery? Delivery { get; set; } - /// - /// Optional. The size of the image output. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSize")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter))] - public global::Google.Gemini.ImageResponseFormatImageSize? ImageSize { get; set; } - /// /// Optional. The aspect ratio for the image output. /// @@ -36,6 +29,13 @@ public sealed partial class ImageResponseFormat [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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("imageSize")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter))] + public global::Google.Gemini.ImageResponseFormatImageSize? ImageSize { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -51,25 +51,25 @@ public sealed partial class ImageResponseFormat /// /// Optional. The delivery mode for the image output. /// - /// - /// Optional. The size of the image output. - /// /// /// Optional. The aspect ratio for the image output. /// + /// + /// Optional. The size of the image output. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImageResponseFormat( global::Google.Gemini.ImageResponseFormatMimeType? mimeType, global::Google.Gemini.ImageResponseFormatDelivery? delivery, - global::Google.Gemini.ImageResponseFormatImageSize? imageSize, - global::Google.Gemini.ImageResponseFormatAspectRatio? aspectRatio) + global::Google.Gemini.ImageResponseFormatAspectRatio? aspectRatio, + global::Google.Gemini.ImageResponseFormatImageSize? imageSize) { this.MimeType = mimeType; this.Delivery = delivery; - this.ImageSize = imageSize; this.AspectRatio = aspectRatio; + this.ImageSize = imageSize; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs index 5cc69875..4f2df00f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class ImportFileRequest { /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// Custom metadata to be associated with the file. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] - public string? FileName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto @@ -21,10 +21,10 @@ public sealed partial class ImportFileRequest public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } /// - /// Custom metadata to be associated with the file. + /// Required. The name of the `File` to import. Example: `files/abc-123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class ImportFileRequest /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// Custom metadata to be associated with the file. /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// - /// - /// Custom metadata to be associated with the file. + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImportFileRequest( - string? fileName, + global::System.Collections.Generic.IList? customMetadata, global::Google.Gemini.ChunkingConfig? chunkingConfig, - global::System.Collections.Generic.IList? customMetadata) + string? fileName) { - this.FileName = fileName; - this.ChunkingConfig = chunkingConfig; this.CustomMetadata = customMetadata; + this.ChunkingConfig = chunkingConfig; + this.FileName = fileName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs index c4006720..9234a532 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentResponse { + /// + /// Output only. The metadata associated with the request.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { 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). /// @@ -20,13 +27,6 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("response")] public global::Google.Gemini.EmbedContentResponse? Response { get; set; } - /// - /// Output only. The metadata associated with the request.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,27 +36,27 @@ public sealed partial class InlinedEmbedContentResponse /// /// Initializes a new instance of the class. /// + /// + /// Output only. The metadata associated with the request.
+ /// 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). /// /// /// The response to an `EmbedContentRequest`. /// - /// - /// Output only. The metadata associated with the request.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentResponse( + object? metadata, global::Google.Gemini.Status? error, - global::Google.Gemini.EmbedContentResponse? response, - object? metadata) + global::Google.Gemini.EmbedContentResponse? response) { + this.Metadata = metadata; this.Error = error; this.Response = response; - this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs index 291135b2..1eefda6a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class InlinedResponse { - /// - /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.GenerateContentResponse? Response { get; set; } - /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -27,6 +21,12 @@ public sealed partial class InlinedResponse [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } + /// + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.GenerateContentResponse? Response { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,9 +36,6 @@ public sealed partial class InlinedResponse /// /// Initializes a new instance of the class. /// - /// - /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. - /// /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -46,17 +43,20 @@ public sealed partial class InlinedResponse /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// + /// + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedResponse( - global::Google.Gemini.GenerateContentResponse? response, object? metadata, - global::Google.Gemini.Status? error) + global::Google.Gemini.Status? error, + global::Google.Gemini.GenerateContentResponse? response) { - this.Response = response; this.Metadata = metadata; this.Error = error; + this.Response = response; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs index 05a50bda..2ca5e4b2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InputEmbedContentConfig { - /// - /// 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.InlinedEmbedContentRequests? 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.InlinedEmbedContentRequests? Requests { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InputEmbedContentConfig /// /// 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 InputEmbedContentConfig( - global::Google.Gemini.InlinedEmbedContentRequests? requests, - string? fileName) + string? fileName, + global::Google.Gemini.InlinedEmbedContentRequests? requests) { - this.Requests = requests; this.FileName = fileName; + this.Requests = requests; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs index afe10fd0..5ce34e69 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Interval { - /// - /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } - /// /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. /// [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] public string? StartTime { get; set; } + /// + /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Interval /// /// Initializes a new instance of the class. /// - /// - /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. - /// /// /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. /// + /// + /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Interval( - string? endTime, - string? startTime) + string? startTime, + string? endTime) { - this.EndTime = endTime; this.StartTime = startTime; + this.EndTime = endTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.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.ListDocumentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs index 305a1062..ba11d1ec 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListDocumentsResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned `Document`s. /// [global::System.Text.Json.Serialization.JsonPropertyName("documents")] public global::System.Collections.Generic.IList? Documents { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListDocumentsResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// /// /// The returned `Document`s. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListDocumentsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? documents) + global::System.Collections.Generic.IList? documents, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Documents = documents; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs index 1c44b2be..63edd676 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ListOperationsResponse { + /// + /// The standard List next-page token. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { 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. /// @@ -20,12 +26,6 @@ public sealed partial class ListOperationsResponse [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; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ListOperationsResponse /// /// Initializes a new instance of the class. /// + /// + /// The standard List next-page token. + /// /// /// 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. /// /// /// A list of operations that matches the specified filter in the request. /// - /// - /// The standard List next-page token. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( + string? nextPageToken, global::System.Collections.Generic.IList? unreachable, - global::System.Collections.Generic.IList? operations, - string? nextPageToken) + global::System.Collections.Generic.IList? operations) { + this.NextPageToken = nextPageToken; this.Unreachable = unreachable; this.Operations = operations; - this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs index fb6d6f43..800f4e39 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListPermissionsResponse { - /// - /// 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; } - /// /// Returned permissions. /// [global::System.Text.Json.Serialization.JsonPropertyName("permissions")] public global::System.Collections.Generic.IList? Permissions { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListPermissionsResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// /// /// Returned permissions. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListPermissionsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? permissions) + global::System.Collections.Generic.IList? permissions, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Permissions = permissions; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs index 926abc0e..1c8dd068 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 @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class LogprobsResult { - /// - /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. - /// - [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; } + /// + /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("chosenCandidates")] + public global::System.Collections.Generic.IList? ChosenCandidates { get; set; } + /// /// Length = total number of decoding steps. /// @@ -35,12 +35,12 @@ public sealed partial class LogprobsResult /// /// Initializes a new instance of the class. /// - /// - /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. - /// /// /// Sum of log probabilities for all tokens. /// + /// + /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. + /// /// /// Length = total number of decoding steps. /// @@ -48,12 +48,12 @@ public sealed partial class LogprobsResult [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResult( - global::System.Collections.Generic.IList? chosenCandidates, float? logProbabilitySum, + global::System.Collections.Generic.IList? chosenCandidates, global::System.Collections.Generic.IList? topCandidates) { - this.ChosenCandidates = chosenCandidates; this.LogProbabilitySum = logProbabilitySum; + this.ChosenCandidates = chosenCandidates; this.TopCandidates = topCandidates; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index f52a493c..6ae18c56 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 @@ -8,18 +8,18 @@ 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 token string value. /// [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; } + /// /// The candidate's log probability. /// @@ -35,12 +35,12 @@ public sealed partial class LogprobsResultCandidate /// /// Initializes a new instance of the class. /// - /// - /// The candidate’s token id value. - /// /// /// The candidate’s token string value. /// + /// + /// The candidate’s token id value. + /// /// /// The candidate's log probability. /// @@ -48,12 +48,12 @@ public sealed partial class LogprobsResultCandidate [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( - int? tokenId, string? token, + int? tokenId, float? logProbability) { - this.TokenId = tokenId; this.Token = token; + this.TokenId = tokenId; this.LogProbability = logProbability; } 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 fb5f551c..dd4698f7 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 @@ -8,6 +8,18 @@ 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + /// /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// @@ -26,18 +38,6 @@ public sealed partial class Maps [global::System.Text.Json.Serialization.JsonPropertyName("uri")] public string? Uri { get; set; } - /// - /// Title of the place. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - - /// - /// Text description of the place answer. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,6 +47,12 @@ public sealed partial class Maps /// /// Initializes a new instance of the class. /// + /// + /// Text description of the place answer. + /// + /// + /// Title of the place. + /// /// /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// @@ -56,27 +62,21 @@ public sealed partial class Maps /// /// URI reference of the place. /// - /// - /// Title of the place. - /// - /// - /// Text description of the place answer. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( + string? text, + string? title, string? placeId, global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, - string? uri, - string? title, - string? text) + string? uri) { + this.Text = text; + this.Title = title; this.PlaceId = placeId; this.PlaceAnswerSources = placeAnswerSources; this.Uri = uri; - this.Title = title; - this.Text = text; } /// 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 5a72279b..f73abec8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs @@ -9,16 +9,28 @@ namespace Google.Gemini public sealed partial class 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` + /// 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("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Maximum number of input tokens allowed for this model. + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } + + /// + /// Maximum number of output tokens available for this model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { get; set; } + + /// + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] + public string? BaseModelId { 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. @@ -27,10 +39,16 @@ public sealed partial class Model public string? DisplayName { get; set; } /// - /// Whether the model supports thinking. + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] - public bool? Thinking { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { get; set; } + + /// + /// Maximum number of input tokens allowed for this model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] + public int? InputTokenLimit { get; set; } /// /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. @@ -45,28 +63,16 @@ public sealed partial class Model 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; } - - /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) - /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } - - /// - /// The maximum temperature this model can use. + /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] - public float? MaxTemperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { 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. + /// Whether the model supports thinking. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] + public bool? Thinking { 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. @@ -75,16 +81,10 @@ public sealed partial class Model public int? TopK { get; set; } /// - /// Maximum number of output tokens available for this model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] - public int? OutputTokenLimit { get; set; } - - /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// The maximum temperature this model can use. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] - public string? BaseModelId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -95,17 +95,26 @@ public sealed partial class Model /// /// Initializes a new instance of the class. /// - /// - /// 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` + /// + /// 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. /// - /// - /// Maximum number of input tokens allowed for this model. + /// + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// + /// + /// Maximum number of output tokens available for this model. + /// + /// + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// /// /// 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. /// - /// - /// Whether the model supports thinking. + /// + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// + /// + /// Maximum number of input tokens allowed for this model. /// /// /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. @@ -113,58 +122,49 @@ public sealed partial class Model /// /// 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. - /// - /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) - /// - /// - /// The maximum temperature this model can use. + /// + /// 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` /// - /// - /// 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. + /// + /// Whether the model supports thinking. /// /// /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - /// - /// Maximum number of output tokens available for this model. - /// - /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// + /// The maximum temperature this model can use. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - string? name, - int? inputTokenLimit, + float? topP, + float? temperature, + int? outputTokenLimit, + string? baseModelId, string? displayName, - bool? thinking, + string? version, + int? inputTokenLimit, global::System.Collections.Generic.IList? supportedGenerationMethods, string? description, - float? topP, - string? version, - float? maxTemperature, - float? temperature, + string? name, + bool? thinking, int? topK, - int? outputTokenLimit, - string? baseModelId) + float? maxTemperature) { - this.Name = name; - this.InputTokenLimit = inputTokenLimit; - this.DisplayName = displayName; - this.Thinking = thinking; - this.SupportedGenerationMethods = supportedGenerationMethods; - this.Description = description; this.TopP = topP; - this.Version = version; - this.MaxTemperature = maxTemperature; this.Temperature = temperature; - this.TopK = topK; this.OutputTokenLimit = outputTokenLimit; this.BaseModelId = baseModelId; + this.DisplayName = displayName; + this.Version = version; + this.InputTokenLimit = inputTokenLimit; + this.SupportedGenerationMethods = supportedGenerationMethods; + this.Description = description; + this.Name = name; + this.Thinking = thinking; + this.TopK = topK; + this.MaxTemperature = maxTemperature; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs index d5fc3303..75612d76 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ModelStatus { - /// - /// The time at which the model will be retired. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retirementTime")] - public string? RetirementTime { get; set; } - /// /// The stage of the underlying model. /// @@ -21,6 +15,12 @@ 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; } + /// + /// The time at which the model will be retired. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retirementTime")] + public string? RetirementTime { get; set; } + /// /// A message explaining the model status. /// @@ -36,12 +36,12 @@ public sealed partial class ModelStatus /// /// Initializes a new instance of the class. /// - /// - /// The time at which the model will be retired. - /// /// /// The stage of the underlying model. /// + /// + /// The time at which the model will be retired. + /// /// /// A message explaining the model status. /// @@ -49,12 +49,12 @@ public sealed partial class ModelStatus [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( - string? retirementTime, global::Google.Gemini.ModelStatusModelStage? modelStage, + string? retirementTime, string? message) { - this.RetirementTime = retirementTime; this.ModelStage = modelStage; + this.RetirementTime = retirementTime; 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 5e2194d6..e1d43934 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 @@ -14,18 +14,6 @@ public sealed partial class Operation [global::System.Text.Json.Serialization.JsonPropertyName("response")] public object? Response { 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}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } - /// /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// @@ -38,6 +26,18 @@ public sealed partial class Operation [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}`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -50,33 +50,33 @@ public sealed partial class Operation /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. - /// - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. - /// /// /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// + /// + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Operation( object? response, - string? name, - object? metadata, bool? done, - global::Google.Gemini.Status? error) + global::Google.Gemini.Status? error, + string? name, + object? metadata) { this.Response = response; - this.Name = name; - this.Metadata = metadata; this.Done = done; this.Error = error; + this.Name = name; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs index df03455e..a86917db 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 @@ -11,83 +11,83 @@ namespace Google.Gemini public sealed partial class Part { /// - /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. + /// 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("videoMetadata")] - [global::System.Obsolete("This property marked as deprecated.")] - public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } /// - /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. + /// Optional. Indicates if the part is thought from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] - public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thought")] + public bool? Thought { get; set; } /// - /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// - [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] - public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] + public object? PartMetadata { get; set; } /// - /// Optional. Indicates if the part is thought from the model. + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thought")] - public bool? Thought { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] + public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { 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`. + /// 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("toolResponse")] - public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] + public global::Google.Gemini.ToolCall? ToolCall { get; set; } /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// URI based data. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] - public global::Google.Gemini.Blob? InlineData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] + public global::Google.Gemini.FileData? FileData { get; set; } /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] - public byte[]? ThoughtSignature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + [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. + /// 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("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] + public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } /// - /// Inline text. + /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] + public global::Google.Gemini.ToolResponse? ToolResponse { 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; } /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// - [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] - public object? PartMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] + public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } /// - /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] - public global::Google.Gemini.ToolCall? ToolCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] + public global::Google.Gemini.Blob? InlineData { get; set; } /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] - public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] + public byte[]? ThoughtSignature { 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. /// - /// - /// 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. - /// - /// - /// 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. + /// + /// 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. /// - /// - /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// - /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// + /// 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`. /// - /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// + /// URI based data. + /// + /// + /// 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 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`. /// /// /// Inline text. /// - /// - /// URI based data. - /// - /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// + /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// - /// - /// 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`. + /// + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( - global::Google.Gemini.FunctionResponse? functionResponse, - global::Google.Gemini.ExecutableCode? executableCode, - bool? thought, - global::Google.Gemini.ToolResponse? toolResponse, - global::Google.Gemini.Blob? inlineData, - byte[]? thoughtSignature, global::Google.Gemini.FunctionCall? functionCall, - string? text, - global::Google.Gemini.FileData? fileData, + bool? thought, object? partMetadata, + global::Google.Gemini.CodeExecutionResult? codeExecutionResult, global::Google.Gemini.ToolCall? toolCall, - global::Google.Gemini.CodeExecutionResult? codeExecutionResult) + global::Google.Gemini.FileData? fileData, + global::Google.Gemini.ExecutableCode? executableCode, + global::Google.Gemini.ToolResponse? toolResponse, + string? text, + global::Google.Gemini.FunctionResponse? functionResponse, + global::Google.Gemini.Blob? inlineData, + byte[]? thoughtSignature) { - this.FunctionResponse = functionResponse; - this.ExecutableCode = executableCode; + this.FunctionCall = functionCall; this.Thought = thought; + this.PartMetadata = partMetadata; + this.CodeExecutionResult = codeExecutionResult; + this.ToolCall = toolCall; + this.FileData = fileData; + this.ExecutableCode = executableCode; this.ToolResponse = toolResponse; + this.Text = text; + this.FunctionResponse = functionResponse; this.InlineData = inlineData; this.ThoughtSignature = thoughtSignature; - this.FunctionCall = functionCall; - this.Text = text; - this.FileData = fileData; - this.PartMetadata = partMetadata; - this.ToolCall = toolCall; - this.CodeExecutionResult = codeExecutionResult; } /// 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 6749cc78..853a7614 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class Permission { /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// 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("emailAddress")] - public string? EmailAddress { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Required. The role granted by this permission. @@ -29,11 +30,10 @@ public sealed partial class Permission public global::Google.Gemini.PermissionGranteeType? GranteeType { 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 + /// 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("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] + public string? EmailAddress { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -44,8 +44,9 @@ public sealed partial class Permission /// /// Initializes a new instance of the class. /// - /// - /// 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 /// /// /// Required. The role granted by this permission. @@ -53,23 +54,22 @@ public sealed partial class Permission /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
- /// Included only in responses + /// + /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( - string? emailAddress, + string? name, global::Google.Gemini.PermissionRole? role, global::Google.Gemini.PermissionGranteeType? granteeType, - string? name) + string? emailAddress) { - this.EmailAddress = emailAddress; + this.Name = name; this.Role = role; this.GranteeType = granteeType; - this.Name = name; + this.EmailAddress = emailAddress; } /// 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.ResponseFormatConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs index fafacf58..7fd83425 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class ResponseFormatConfig { /// - /// Configuration for audio output format. + /// Configuration for text output format. /// - [global::System.Text.Json.Serialization.JsonPropertyName("audio")] - public global::Google.Gemini.AudioResponseFormat? Audio { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public global::Google.Gemini.TextResponseFormat? Text { get; set; } /// /// Configuration for image output format. @@ -21,10 +21,10 @@ public sealed partial class ResponseFormatConfig public global::Google.Gemini.ImageResponseFormat? Image { get; set; } /// - /// Configuration for text output format. + /// Configuration for audio output format. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public global::Google.Gemini.TextResponseFormat? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("audio")] + public global::Google.Gemini.AudioResponseFormat? Audio { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class ResponseFormatConfig /// /// Initializes a new instance of the class. /// - /// - /// Configuration for audio output format. + /// + /// Configuration for text output format. /// /// /// Configuration for image output format. /// - /// - /// Configuration for text output format. + /// + /// Configuration for audio output format. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ResponseFormatConfig( - global::Google.Gemini.AudioResponseFormat? audio, + global::Google.Gemini.TextResponseFormat? text, global::Google.Gemini.ImageResponseFormat? image, - global::Google.Gemini.TextResponseFormat? text) + global::Google.Gemini.AudioResponseFormat? audio) { - this.Audio = audio; - this.Image = image; this.Text = text; + this.Image = image; + this.Audio = audio; } /// 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 987acdfc..9fa30e36 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 @@ -15,10 +15,10 @@ public sealed partial class RetrievedContext public string? FileSearchStore { get; set; } /// - /// Optional. User-provided metadata about the retrieved context. + /// Optional. Page number of the retrieved context, if applicable. /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] + public int? PageNumber { get; set; } /// /// Optional. Title of the document. @@ -32,6 +32,12 @@ public sealed partial class RetrievedContext [global::System.Text.Json.Serialization.JsonPropertyName("text")] public string? Text { 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; } + /// /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} /// @@ -44,12 +50,6 @@ public sealed partial class RetrievedContext [global::System.Text.Json.Serialization.JsonPropertyName("uri")] public string? Uri { get; set; } - /// - /// Optional. Page number of the retrieved context, if applicable. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] - public int? PageNumber { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -62,8 +62,8 @@ public sealed partial class RetrievedContext /// /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// - /// - /// Optional. User-provided metadata about the retrieved context. + /// + /// Optional. Page number of the retrieved context, if applicable. /// /// /// Optional. Title of the document. @@ -71,34 +71,34 @@ public sealed partial class RetrievedContext /// /// Optional. Text of the chunk. /// + /// + /// Optional. User-provided metadata about the retrieved context. + /// /// /// 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. Page number of the retrieved context, if applicable. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( string? fileSearchStore, - global::System.Collections.Generic.IList? customMetadata, + int? pageNumber, string? title, string? text, + global::System.Collections.Generic.IList? customMetadata, string? mediaId, - string? uri, - int? pageNumber) + string? uri) { this.FileSearchStore = fileSearchStore; - this.CustomMetadata = customMetadata; + this.PageNumber = pageNumber; this.Title = title; this.Text = text; + this.CustomMetadata = customMetadata; this.MediaId = mediaId; this.Uri = uri; - this.PageNumber = pageNumber; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs index 19c4fb32..8761eef3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ReviewSnippet { - /// - /// The ID of the review snippet. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] - public string? ReviewId { get; set; } - /// /// A link that corresponds to the user review on Google Maps. /// @@ -26,6 +20,12 @@ public sealed partial class ReviewSnippet [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } + /// + /// The ID of the review snippet. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] + public string? ReviewId { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ReviewSnippet /// /// Initializes a new instance of the class. /// - /// - /// The ID of the review snippet. - /// /// /// A link that corresponds to the user review on Google Maps. /// /// /// Title of the review. /// + /// + /// The ID of the review snippet. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ReviewSnippet( - string? reviewId, string? googleMapsUri, - string? title) + string? title, + string? reviewId) { - this.ReviewId = reviewId; this.GoogleMapsUri = googleMapsUri; this.Title = title; + this.ReviewId = reviewId; } /// 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 7eb80d6f..a27d7d79 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; } - /// /// Required. The probability of harm for this content. /// @@ -28,6 +21,13 @@ public sealed partial class SafetyRating [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] public bool? Blocked { 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. - /// /// /// Required. The probability of harm for this content. /// /// /// Was this content blocked because of this rating? /// + /// + /// Required. The category for this rating. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( - global::Google.Gemini.SafetyRatingCategory? category, global::Google.Gemini.SafetyRatingProbability? probability, - bool? blocked) + bool? blocked, + global::Google.Gemini.SafetyRatingCategory? category) { - this.Category = category; this.Probability = probability; this.Blocked = blocked; + this.Category = category; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs index 8a3dac69..1c981d0c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class SafetySetting { - /// - /// Required. Controls the probability threshold at which harm is blocked. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("threshold")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter))] - public global::Google.Gemini.SafetySettingThreshold? Threshold { get; set; } - /// /// Required. The category for this setting. /// @@ -22,6 +15,13 @@ public sealed partial class SafetySetting [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter))] public global::Google.Gemini.SafetySettingCategory? Category { get; set; } + /// + /// Required. Controls the probability threshold at which harm is blocked. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("threshold")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter))] + public global::Google.Gemini.SafetySettingThreshold? Threshold { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -31,21 +31,21 @@ public sealed partial class SafetySetting /// /// Initializes a new instance of the class. /// - /// - /// Required. Controls the probability threshold at which harm is blocked. - /// /// /// Required. The category for this setting. /// + /// + /// Required. Controls the probability threshold at which harm is blocked. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetySetting( - global::Google.Gemini.SafetySettingThreshold? threshold, - global::Google.Gemini.SafetySettingCategory? category) + global::Google.Gemini.SafetySettingCategory? category, + global::Google.Gemini.SafetySettingThreshold? threshold) { - this.Threshold = threshold; this.Category = category; + this.Threshold = threshold; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs index b1c611b3..d9c5ec28 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs @@ -9,28 +9,16 @@ namespace Google.Gemini public sealed partial class Schema { /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("items")] - public global::Google.Gemini.Schema? Items { get; set; } - - /// - /// Optional. Maximum length of the Type.STRING - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } - - /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] - public string? MaxProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enum")] + public global::System.Collections.Generic.IList? Enum { get; set; } /// - /// Optional. The title of the schema. + /// Optional. Example of the object. Will only populated when the object is the root. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("example")] + public object? Example { get; set; } /// /// Optional. Maximum number of the elements for Type.ARRAY. @@ -39,28 +27,28 @@ public sealed partial class Schema public string? MaxItems { get; set; } /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// Optional. Maximum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] - public double? Maximum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] + public string? MaxProperties { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// Optional. 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("minLength")] - public string? MinLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] + public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. The title of the schema. /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// Optional. Minimum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] + public string? MinItems { get; set; } /// /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. @@ -68,6 +56,12 @@ public sealed partial class Schema [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] public string? Pattern { 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. The value should be validated against any (one or more) of the subschemas in the list. /// @@ -75,71 +69,77 @@ public sealed partial class Schema public global::System.Collections.Generic.IList? AnyOf { 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. 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("default")] - public object? Default { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Optional. Required properties of Type.OBJECT. + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] + public string? MinLength { get; set; } /// - /// Required. Data type. + /// Optional. Maximum length of the Type.STRING /// - [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("maxLength")] + public string? MaxLength { get; set; } /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// Optional. Indicates if the value may be null. /// - [global::System.Text.Json.Serialization.JsonPropertyName("example")] - public object? Example { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] + public bool? Nullable { 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. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] - public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// Optional. Minimum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] - public double? Minimum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { get; set; } /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// 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("format")] - public string? Format { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { get; set; } /// - /// Optional. Indicates if the value may be null. + /// Optional. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] - public bool? Nullable { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// Optional. Required properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] - public string? MinItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] + public double? Minimum { 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"]} + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enum")] - public global::System.Collections.Generic.IList? Enum { 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. Maximum value of the Type.INTEGER and Type.NUMBER + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] + public double? Maximum { 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. /// - /// - /// 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. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} /// - /// - /// Optional. Maximum length of the Type.STRING + /// + /// Optional. Example of the object. Will only populated when the object is the root. + /// + /// + /// Optional. Maximum number of the elements for Type.ARRAY. /// /// /// Optional. Maximum number of the properties for 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. + /// /// /// Optional. The title of the schema. /// - /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// + /// Optional. Minimum number of the elements for Type.ARRAY. /// - /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// + /// + /// 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. The value should be validated against any (one or more) of the subschemas in the list. + /// + /// + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// /// /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - /// - /// Optional. Properties of Type.OBJECT. + /// + /// Optional. Maximum length of the Type.STRING /// - /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// + /// Optional. Indicates if the value may be null. /// - /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// + /// Optional. Minimum number of the properties for Type.OBJECT. /// /// /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// + /// + /// Optional. Properties of Type.OBJECT. + /// /// /// Optional. Required properties of Type.OBJECT. /// - /// - /// Required. Data type. - /// - /// - /// Optional. Example of the object. Will only populated when the object is the root. - /// - /// - /// 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. 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. - /// - /// - /// Optional. Indicates if the value may be null. - /// - /// - /// Optional. Minimum number of the elements for Type.ARRAY. - /// - /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// + /// Required. Data type. /// - /// - /// 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 value of the Type.INTEGER and Type.NUMBER /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - global::Google.Gemini.Schema? items, - string? maxLength, + global::System.Collections.Generic.IList? @enum, + object? example, + string? maxItems, string? maxProperties, + global::System.Collections.Generic.IList? propertyOrdering, string? title, - string? maxItems, - double? maximum, - string? minLength, - global::System.Collections.Generic.Dictionary? properties, - string? minProperties, + string? minItems, string? pattern, + global::Google.Gemini.Schema? items, global::System.Collections.Generic.IList? anyOf, + string? description, + string? minLength, + string? maxLength, + bool? nullable, + string? format, + string? minProperties, object? @default, + global::System.Collections.Generic.Dictionary? properties, global::System.Collections.Generic.IList? required, - global::Google.Gemini.SchemaType? type, - object? example, - global::System.Collections.Generic.IList? propertyOrdering, double? minimum, - string? format, - bool? nullable, - string? minItems, - string? description, - global::System.Collections.Generic.IList? @enum) + global::Google.Gemini.SchemaType? type, + double? maximum) { - this.Items = items; - this.MaxLength = maxLength; + this.Enum = @enum; + this.Example = example; + this.MaxItems = maxItems; this.MaxProperties = maxProperties; + this.PropertyOrdering = propertyOrdering; this.Title = title; - this.MaxItems = maxItems; - this.Maximum = maximum; - this.MinLength = minLength; - this.Properties = properties; - this.MinProperties = minProperties; + this.MinItems = minItems; this.Pattern = pattern; + this.Items = items; this.AnyOf = anyOf; + this.Description = description; + this.MinLength = minLength; + this.MaxLength = maxLength; + this.Nullable = nullable; + this.Format = format; + this.MinProperties = minProperties; this.Default = @default; + this.Properties = properties; this.Required = required; - this.Type = type; - this.Example = example; - this.PropertyOrdering = propertyOrdering; this.Minimum = minimum; - this.Format = format; - this.Nullable = nullable; - this.MinItems = minItems; - this.Description = description; - this.Enum = @enum; + this.Type = type; + this.Maximum = maximum; } /// 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 c880cd80..4d41ca9d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs @@ -14,18 +14,18 @@ public sealed partial class SpeechConfig [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } - /// - /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] - public string? LanguageCode { get; set; } - /// /// The configuration for the 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class SpeechConfig /// /// The configuration for the voice to use. /// - /// - /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. - /// /// /// The configuration for the 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`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( global::Google.Gemini.VoiceConfig? voiceConfig, - string? languageCode, - global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig) + global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, + string? languageCode) { this.VoiceConfig = voiceConfig; - this.LanguageCode = languageCode; this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; + this.LanguageCode = languageCode; } /// 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 c519c72e..36811286 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 @@ -8,6 +8,18 @@ namespace Google.Gemini /// public sealed partial class StreamableHttpTransport { + /// + /// Timeout for SSE read operations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] + public string? SseReadTimeout { get; set; } + + /// + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("url")] + public string? Url { get; set; } + /// /// HTTP timeout for regular operations. /// @@ -20,24 +32,12 @@ public sealed partial class StreamableHttpTransport [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] public bool? TerminateOnClose { get; set; } - /// - /// Timeout for SSE read operations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] - public string? SseReadTimeout { get; set; } - /// /// 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" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("url")] - public string? Url { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class StreamableHttpTransport /// /// Initializes a new instance of the class. /// + /// + /// Timeout for SSE read operations. + /// + /// + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// /// /// HTTP timeout for regular operations. /// /// /// Whether to close the client session when the transport closes. /// - /// - /// Timeout for SSE read operations. - /// /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// - /// - /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( + string? sseReadTimeout, + string? url, string? timeout, bool? terminateOnClose, - string? sseReadTimeout, - global::System.Collections.Generic.Dictionary? headers, - string? url) + global::System.Collections.Generic.Dictionary? headers) { + this.SseReadTimeout = sseReadTimeout; + this.Url = url; this.Timeout = timeout; this.TerminateOnClose = terminateOnClose; - this.SseReadTimeout = sseReadTimeout; this.Headers = headers; - this.Url = url; } /// 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 6470d5f7..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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class ThinkingConfig { - /// - /// 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingLevel")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter))] - public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } - /// /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. /// @@ -27,6 +20,13 @@ public sealed partial class ThinkingConfig [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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingLevel")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter))] + public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ThinkingConfig /// /// Initializes a new instance of the class. /// - /// - /// 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. - /// /// /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ThinkingConfig( - global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel, bool? includeThoughts, - int? thinkingBudget) + int? thinkingBudget, + global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel) { - this.ThinkingLevel = thinkingLevel; 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 595773de..dd461442 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs @@ -9,34 +9,28 @@ namespace Google.Gemini public sealed partial class Tool { /// - /// Tool to retrieve public web data for grounding, powered by Google. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] - public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } - - /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// Computer Use tool type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] - public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] + public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } /// - /// Tool to support URL context retrieval. + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] - public global::Google.Gemini.UrlContext? UrlContext { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] + public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// Tool to retrieve public web data for grounding, powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] - public global::Google.Gemini.FileSearch? FileSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] + public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { 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. + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] - public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] + public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } /// /// Optional. MCP Servers to connect to. @@ -45,22 +39,28 @@ public sealed partial class Tool public global::System.Collections.Generic.IList? McpServers { get; set; } /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// Tool to support URL context retrieval. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] - public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] + public global::Google.Gemini.UrlContext? UrlContext { get; set; } /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// 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("googleMaps")] - public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] + public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } /// - /// Computer Use tool type. + /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] - public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] + public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } + + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] + public global::Google.Gemini.FileSearch? FileSearch { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,56 +71,56 @@ public sealed partial class Tool /// /// Initializes a new instance of the class. /// + /// + /// Computer Use tool type. + /// + /// + /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// /// /// Tool to retrieve public web data for grounding, powered by Google. /// - /// - /// 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. + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + /// + /// 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. /// - /// - /// Optional. MCP Servers to connect to. - /// - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. /// - /// - /// Computer Use tool type. + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( + global::Google.Gemini.ComputerUse? computerUse, + global::Google.Gemini.GoogleMaps? googleMaps, global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, - global::Google.Gemini.CodeExecution? codeExecution, + global::Google.Gemini.GoogleSearch? googleSearch, + global::System.Collections.Generic.IList? mcpServers, global::Google.Gemini.UrlContext? urlContext, - global::Google.Gemini.FileSearch? fileSearch, global::System.Collections.Generic.IList? functionDeclarations, - global::System.Collections.Generic.IList? mcpServers, - global::Google.Gemini.GoogleSearch? googleSearch, - global::Google.Gemini.GoogleMaps? googleMaps, - global::Google.Gemini.ComputerUse? computerUse) + global::Google.Gemini.CodeExecution? codeExecution, + global::Google.Gemini.FileSearch? fileSearch) { + this.ComputerUse = computerUse; + this.GoogleMaps = googleMaps; this.GoogleSearchRetrieval = googleSearchRetrieval; - this.CodeExecution = codeExecution; + this.GoogleSearch = googleSearch; + this.McpServers = mcpServers; this.UrlContext = urlContext; - this.FileSearch = fileSearch; this.FunctionDeclarations = functionDeclarations; - this.McpServers = mcpServers; - this.GoogleSearch = googleSearch; - this.GoogleMaps = googleMaps; - this.ComputerUse = computerUse; + this.CodeExecution = codeExecution; + this.FileSearch = fileSearch; } /// 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 5cbd66dc..6da5f988 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 @@ -8,12 +8,6 @@ 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. /// @@ -27,6 +21,12 @@ 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) + object? args, + string? id) { - 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 1abb4355..e9a35041 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ToolConfig { + /// + /// 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. /// @@ -20,12 +26,6 @@ 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; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ToolConfig /// /// Initializes a new instance of the class. /// + /// + /// Retrieval config. + /// /// /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// /// /// Configuration for specifying function calling behavior. /// - /// - /// Retrieval config. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( + global::Google.Gemini.RetrievalConfig? retrievalConfig, bool? includeServerSideToolInvocations, - global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, - global::Google.Gemini.RetrievalConfig? retrievalConfig) + global::Google.Gemini.FunctionCallingConfig? functionCallingConfig) { + this.RetrievalConfig = retrievalConfig; this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; this.FunctionCallingConfig = functionCallingConfig; - this.RetrievalConfig = retrievalConfig; } /// 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 706bb21c..ef790a52 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 @@ -17,29 +17,22 @@ public sealed partial class TunedModel public global::Google.Gemini.TunedModelState? State { get; set; } /// - /// Tuning tasks that create tuned models. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { 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. + /// Tuned model as a source for training a new model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] + public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] - public string? BaseModel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { 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; } /// /// Optional. List of project numbers that have read access to the tuned model. @@ -48,28 +41,16 @@ public sealed partial class TunedModel public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } /// - /// Tuned model as a source for training a new model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] - public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } - - /// - /// 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; } - - /// - /// Optional. A short description of this model. + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { 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. + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] + public string? BaseModel { 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`
@@ -86,10 +67,29 @@ public sealed partial class TunedModel 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. + /// Optional. A short description of this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { 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 timestamp when this model was updated.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + + /// + /// Tuning tasks that create tuned models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -104,33 +104,23 @@ public sealed partial class TunedModel /// Output only. The state of the tuned model.
/// Included only in responses /// - /// - /// Tuning tasks that create tuned models. - /// - /// - /// 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. - /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// - /// - /// Output only. The timestamp when this model was updated.
- /// Included only in responses - /// - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// /// /// Tuned model as a source for training a new 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. + /// /// /// 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. List of project numbers that have read access to the tuned 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. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// /// 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`
@@ -140,40 +130,50 @@ public sealed partial class TunedModel /// Output only. The timestamp when this model was created.
/// Included only in responses /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Optional. 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 timestamp when this model was updated.
+ /// Included only in responses + /// + /// + /// Tuning tasks that create tuned models. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( global::Google.Gemini.TunedModelState? state, - global::Google.Gemini.TuningTask? tuningTask, - int? topK, - string? baseModel, - string? updateTime, - global::System.Collections.Generic.IList? readerProjectNumbers, global::Google.Gemini.TunedModelSource? tunedModelSource, - float? topP, - string? description, float? temperature, + float? topP, + global::System.Collections.Generic.IList? readerProjectNumbers, + string? displayName, + string? baseModel, string? name, string? createTime, - string? displayName) + string? description, + int? topK, + string? updateTime, + global::Google.Gemini.TuningTask? tuningTask) { this.State = state; - this.TuningTask = tuningTask; - this.TopK = topK; - this.BaseModel = baseModel; - this.UpdateTime = updateTime; - this.ReaderProjectNumbers = readerProjectNumbers; this.TunedModelSource = tunedModelSource; - this.TopP = topP; - this.Description = description; this.Temperature = temperature; + this.TopP = topP; + this.ReaderProjectNumbers = readerProjectNumbers; + this.DisplayName = displayName; + this.BaseModel = baseModel; this.Name = name; this.CreateTime = createTime; - this.DisplayName = displayName; + this.Description = description; + this.TopK = topK; + this.UpdateTime = updateTime; + this.TuningTask = tuningTask; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs index bafee2ce..ceaaa53f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class TunedModelSource { - /// - /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModel")] - public string? TunedModel { get; set; } - /// /// Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`
/// Included only in responses @@ -21,6 +15,12 @@ public sealed partial class TunedModelSource [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] public string? BaseModel { get; set; } + /// + /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModel")] + public string? TunedModel { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class TunedModelSource /// /// Initializes a new instance of the class. /// - /// - /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` - /// /// /// Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`
/// Included only in responses /// + /// + /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModelSource( - string? tunedModel, - string? baseModel) + string? baseModel, + string? tunedModel) { - this.TunedModel = tunedModel; this.BaseModel = baseModel; + this.TunedModel = tunedModel; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs index 5c5e2375..0cb1717c 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 @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class TuningSnapshot { + /// + /// Output only. The epoch this step was part of.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] + public int? Epoch { get; set; } + /// /// Output only. The mean loss of the training examples for this step.
/// Included only in responses @@ -22,13 +29,6 @@ public sealed partial class TuningSnapshot [global::System.Text.Json.Serialization.JsonPropertyName("step")] public int? Step { get; set; } - /// - /// Output only. The epoch this step was part of.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] - public int? Epoch { get; set; } - /// /// Output only. The timestamp when this metric was computed.
/// Included only in responses @@ -45,6 +45,10 @@ public sealed partial class TuningSnapshot /// /// Initializes a new instance of the class. /// + /// + /// Output only. The epoch this step was part of.
+ /// Included only in responses + /// /// /// Output only. The mean loss of the training examples for this step.
/// Included only in responses @@ -53,10 +57,6 @@ public sealed partial class TuningSnapshot /// Output only. The tuning step.
/// Included only in responses /// - /// - /// Output only. The epoch this step was part of.
- /// Included only in responses - /// /// /// Output only. The timestamp when this metric was computed.
/// Included only in responses @@ -65,14 +65,14 @@ public sealed partial class TuningSnapshot [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( + int? epoch, float? meanLoss, int? step, - int? epoch, string? computeTime) { + this.Epoch = epoch; this.MeanLoss = meanLoss; this.Step = step; - this.Epoch = epoch; this.ComputeTime = computeTime; } 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 b5b0bd37..f9325909 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 @@ -9,11 +9,17 @@ namespace Google.Gemini public sealed partial class TuningTask { /// - /// Output only. The timestamp when tuning this model started.
+ /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// + [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] + public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } + + /// + /// Output only. Metrics collected during tuning.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] - public string? StartTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] + public global::System.Collections.Generic.IList? Snapshots { get; set; } /// /// Dataset for training or validation. @@ -21,12 +27,6 @@ public sealed partial class TuningTask [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] public global::Google.Gemini.Dataset? TrainingData { get; set; } - /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance - /// - [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] - public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } - /// /// Output only. The timestamp when tuning this model completed.
/// Included only in responses @@ -35,11 +35,11 @@ public sealed partial class TuningTask public string? CompleteTime { get; set; } /// - /// Output only. Metrics collected during tuning.
+ /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] - public global::System.Collections.Generic.IList? Snapshots { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] + public string? StartTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -50,39 +50,39 @@ public sealed partial class TuningTask /// /// Initializes a new instance of the class. /// - /// - /// Output only. The timestamp when tuning this model started.
+ /// + /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// + /// + /// Output only. Metrics collected during tuning.
/// Included only in responses /// /// /// Dataset for training or validation. /// - /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance - /// /// /// Output only. The timestamp when tuning this model completed.
/// Included only in responses /// - /// - /// Output only. Metrics collected during tuning.
+ /// + /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( - string? startTime, - global::Google.Gemini.Dataset? trainingData, global::Google.Gemini.Hyperparameters? hyperparameters, + global::System.Collections.Generic.IList? snapshots, + global::Google.Gemini.Dataset? trainingData, string? completeTime, - global::System.Collections.Generic.IList? snapshots) + string? startTime) { - this.StartTime = startTime; - this.TrainingData = trainingData; this.Hyperparameters = hyperparameters; - this.CompleteTime = completeTime; this.Snapshots = snapshots; + this.TrainingData = trainingData; + this.CompleteTime = completeTime; + this.StartTime = startTime; } /// 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 b1868692..7a9ceed6 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 @@ -16,36 +16,10 @@ public sealed partial class UsageMetadata public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// Output only. List of modalities of the cached content in the request input.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } - - /// - /// Total token count for the generation request (prompt + thoughts + response candidates). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] - public int? TotalTokenCount { 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; } - - /// - /// Total number of tokens across all the generated response candidates. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } - - /// - /// Number of tokens in the cached part of the prompt (the cached content) + /// 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("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } /// /// Output only. List of modalities that were returned in the response.
@@ -55,10 +29,11 @@ public sealed partial class UsageMetadata public global::System.Collections.Generic.IList? CandidatesTokensDetails { 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 of the cached content 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("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } /// /// Output only. Number of tokens present in tool-use prompt(s).
@@ -67,6 +42,18 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] public int? ToolUsePromptTokenCount { get; set; } + /// + /// Total token count for the generation request (prompt + thoughts + response candidates). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] + public int? TotalTokenCount { get; set; } + + /// + /// Number of tokens in the cached part of the prompt (the cached content) + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } + /// /// Output only. Service tier of the request.
/// Included only in responses @@ -82,6 +69,19 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] public int? ThoughtsTokenCount { 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 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 in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
/// Included only in responses @@ -109,34 +109,27 @@ public sealed partial class UsageMetadata /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - /// - /// Output only. List of modalities of the cached content in the request input.
- /// Included only in responses - /// - /// - /// Total token count for the generation request (prompt + thoughts + response candidates). - /// - /// - /// Output only. List of modalities that were processed for tool-use request inputs.
- /// Included only in responses - /// - /// - /// Total number of tokens across all the generated response candidates. - /// - /// - /// Number of tokens in the cached part of the prompt (the cached content) + /// + /// 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 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. + /// + /// Output only. List of modalities of the cached content in the request input.
+ /// Included only in responses /// /// /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses /// + /// + /// Total token count for the generation request (prompt + thoughts + response candidates). + /// + /// + /// Number of tokens in the cached part of the prompt (the cached content) + /// /// /// Output only. Service tier of the request.
/// Included only in responses @@ -145,6 +138,13 @@ public sealed partial class UsageMetadata /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// + /// + /// Total number of tokens across all the generated response candidates. + /// + /// + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses + /// /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
/// Included only in responses @@ -158,30 +158,30 @@ public sealed partial class UsageMetadata #endif public UsageMetadata( global::System.Collections.Generic.IList? promptTokensDetails, + int? promptTokenCount, + global::System.Collections.Generic.IList? candidatesTokensDetails, global::System.Collections.Generic.IList? cacheTokensDetails, + int? toolUsePromptTokenCount, int? totalTokenCount, - global::System.Collections.Generic.IList? toolUsePromptTokensDetails, - int? candidatesTokenCount, int? cachedContentTokenCount, - global::System.Collections.Generic.IList? candidatesTokensDetails, - int? promptTokenCount, - int? toolUsePromptTokenCount, global::Google.Gemini.UsageMetadataServiceTier? serviceTier, int? thoughtsTokenCount, + int? candidatesTokenCount, + global::System.Collections.Generic.IList? toolUsePromptTokensDetails, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { this.PromptTokensDetails = promptTokensDetails; + this.PromptTokenCount = promptTokenCount; + this.CandidatesTokensDetails = candidatesTokensDetails; this.CacheTokensDetails = cacheTokensDetails; + this.ToolUsePromptTokenCount = toolUsePromptTokenCount; this.TotalTokenCount = totalTokenCount; - this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; - this.CandidatesTokenCount = candidatesTokenCount; this.CachedContentTokenCount = cachedContentTokenCount; - this.CandidatesTokensDetails = candidatesTokensDetails; - this.PromptTokenCount = promptTokenCount; - this.ToolUsePromptTokenCount = toolUsePromptTokenCount; this.ServiceTier = serviceTier; this.ThoughtsTokenCount = thoughtsTokenCount; + this.CandidatesTokenCount = candidatesTokenCount; + this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; 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 6f022e26..a609aa97 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 @@ -9,13 +9,6 @@ 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 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]. /// @@ -30,6 +23,13 @@ public sealed partial class VideoMetadata [global::System.Obsolete("This property marked as deprecated.")] public string? EndOffset { 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 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 end offset of the video. /// + /// + /// Optional. The start offset of the video. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public VideoMetadata( - string? startOffset, double? fps, - string? endOffset) + string? endOffset, + string? startOffset) { - this.StartOffset = startOffset; this.Fps = fps; this.EndOffset = endOffset; + this.StartOffset = startOffset; } /// diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index f55aa53f..5f2b1cd8 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,52 +11,38 @@ } ], "paths": { - "/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", + "/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", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "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.", + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "boolean" + "type": "string", + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -64,47 +50,29 @@ } } }, - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + "/models/{modelsId}": { + "get": { + "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", + "operationId": "models.get", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^models/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/Model" } } } @@ -112,29 +80,38 @@ } } }, - "/batches/{batchesId}:cancel": { + "/models/{modelsId}:batchEmbedContents": { "post": { - "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", - "operationId": "batches.cancel", + "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", + "operationId": "models.batchEmbedContents", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchEmbedContentsRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } @@ -142,19 +119,26 @@ } } }, - "/batches/{batchesId}": { - "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", + "/models": { + "get": { + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", "parameters": [ { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource to be deleted.", + "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", - "pattern": "^batches/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "schema": { + "type": "string" } } ], @@ -164,35 +148,46 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListModelsResponse" } } } } } - }, - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "batches.get", + } + }, + "/models/{modelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "models.generateContent", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -200,28 +195,19 @@ } } }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + "/models/{modelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^models/[^/]+$" } } ], @@ -229,7 +215,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -240,7 +226,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/Operation" } } } @@ -248,56 +234,63 @@ } } }, - "/tunedModels/{tunedModelsId}": { - "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.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": "tunedModelsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "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" } } } } } - }, - "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + } + }, + "/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": "tunedModelsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^models/[^/]+$" } } ], @@ -305,7 +298,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/EmbedContentRequest" } } } @@ -316,35 +309,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" - } - } - } - } - } - }, - "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -352,17 +317,19 @@ } } }, - "/tunedModels": { + "/models/{modelsId}:countTokens": { "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": "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": "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": "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" + "type": "string", + "pattern": "^models/[^/]+$" } } ], @@ -370,7 +337,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/CountTokensRequest" } } } @@ -381,29 +348,41 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CountTokensResponse" } } } } } - }, + } + }, + "/models/{modelsId}/operations": { "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "models.operations.list", "parameters": [ { "name": "filter", "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", + "description": "The standard list filter.", "schema": { "type": "string" } }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `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.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -412,10 +391,18 @@ { "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.", + "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": { @@ -424,7 +411,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -432,31 +419,30 @@ } } }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + "/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": "tunedModelsId", + "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": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", @@ -471,19 +457,19 @@ } } }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "/dynamic/{dynamicId}:generateContent": { "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "dynamic.generateContent", "parameters": [ { - "name": "tunedModelsId", + "name": "dynamicId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -491,7 +477,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -502,7 +488,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -510,19 +496,19 @@ } } }, - "/tunedModels/{tunedModelsId}:transferOwnership": { + "/dynamic/{dynamicId}:streamGenerateContent": { "post": { - "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", - "operationId": "tunedModels.transferOwnership", + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", "parameters": [ { - "name": "tunedModelsId", + "name": "dynamicId", "in": "path", "required": true, - "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -530,7 +516,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -541,7 +527,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -549,27 +540,50 @@ } } }, - "/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", + "/corpora": { + "get": { + "description": "Lists all `Corpora` owned by the user.", + "operationId": "corpora.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", + "schema": { + "type": "string" } } ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListCorporaResponse" + } + } + } + } + } + }, + "post": { + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/Corpus" } } } @@ -580,7 +594,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Corpus" } } } @@ -588,96 +602,55 @@ } } }, - "/tunedModels/{tunedModelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "tunedModels.streamGenerateContent", + "/corpora/{corporaId}": { + "get": { + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", "parameters": [ { - "name": "tunedModelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], - "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/Corpus" } } } } } - } - }, - "/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", + }, + "delete": { + "description": "Deletes a `Corpus`.", + "operationId": "corpora.delete", "parameters": [ { - "name": "filter", + "name": "force", "in": "query", - "description": "The standard list filter.", + "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": "tunedModelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation's parent resource.", + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", - "schema": { - "type": "string" - } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" + "pattern": "^corpora/[^/]+$" } } ], @@ -687,7 +660,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -695,13 +668,13 @@ } } }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "/corpora/{corporaId}/permissions/{permissionsId}": { "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", + "description": "Gets information about a specific Permission.", + "operationId": "corpora.permissions.get", "parameters": [ { - "name": "tunedModelsId", + "name": "permissionsId", "in": "path", "required": true, "schema": { @@ -709,13 +682,13 @@ } }, { - "name": "operationsId", + "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -725,27 +698,42 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/tunedModels/{tunedModelsId}/permissions": { - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + }, + "patch": { + "description": "Updates the permission.", + "operationId": "corpora.permissions.patch", "parameters": [ { - "name": "tunedModelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "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": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -771,35 +759,26 @@ } } }, - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", + "delete": { + "description": "Deletes the permission.", + "operationId": "corpora.permissions.delete", "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.", + "name": "permissionsId", + "in": "path", + "required": true, "schema": { "type": "string" } }, { - "name": "tunedModelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -809,7 +788,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -817,27 +796,36 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + "/corpora/{corporaId}/permissions": { "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "description": "Lists permissions for the specific resource.", + "operationId": "corpora.permissions.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, + "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": "permissionsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -847,55 +835,58 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } } } }, - "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "corpora.permissions.create", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Permission" } } } } } - }, - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + } + }, + "/corpora/{corporaId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "corpora.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -903,41 +894,23 @@ } }, { - "name": "permissionsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "The name of the operation resource.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } @@ -945,19 +918,19 @@ } } }, - "/cachedContents/{cachedContentsId}": { + "/batches/{batchesId}": { "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.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": "cachedContentsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -967,71 +940,55 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Operation" } } } } } }, - "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", + "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": "cachedContentsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "The list of fields to update.", + "description": "The name of the operation resource to be deleted.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^batches/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Empty" } } } } } - }, - "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", + } + }, + "/batches/{batchesId}:cancel": { + "post": { + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", "parameters": [ { - "name": "cachedContentsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -1049,15 +1006,36 @@ } } }, - "/cachedContents": { - "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", + "/batches/{batchesId}:updateGenerateContentBatch": { + "patch": { + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -1068,42 +1046,55 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/GenerateContentBatch" } } } } } - }, - "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + } + }, + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", "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": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { - "type": "integer", - "format": "int32" + "type": "string", + "pattern": "^batches/[^/]+$" } }, { - "name": "pageToken", + "name": "updateMask", "in": "query", - "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "description": "Optional. The list of fields to update.", "schema": { - "type": "string" + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EmbedContentBatch" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -1111,15 +1102,23 @@ } } }, - "/generatedFiles": { + "/batches": { "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.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. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -1128,10 +1127,18 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "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": { @@ -1140,7 +1147,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -1148,27 +1155,69 @@ } } }, - "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { + "/tunedModels": { + "post": { + "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", + "operationId": "tunedModels.create", + "parameters": [ + { + "name": "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" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + }, "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", + "description": "Lists created tuned models.", + "operationId": "tunedModels.list", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, + "name": "filter", + "in": "query", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", "schema": { "type": "string" } }, { - "name": "generatedFilesId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", + "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": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "schema": { + "type": "string" } } ], @@ -1178,7 +1227,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } @@ -1186,19 +1235,19 @@ } } }, - "/models/{modelsId}:streamGenerateContent": { + "/tunedModels/{tunedModelsId}:generateContent": { "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1219,30 +1268,25 @@ "schema": { "$ref": "#/components/schemas/GenerateContentResponse" } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } } } } } } }, - "/models/{modelsId}:generateContent": { + "/tunedModels/{tunedModelsId}:batchGenerateContent": { "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "models.generateContent", + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1250,7 +1294,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -1261,7 +1305,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1269,134 +1313,93 @@ } } }, - "/models/{modelsId}": { - "get": { - "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", - "operationId": "models.get", + "/tunedModels/{tunedModelsId}": { + "patch": { + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/TunedModel" } } } } } - } - }, - "/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", + }, + "delete": { + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "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 model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/models/{modelsId}:embedContent": { - "post": { - "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", - "operationId": "models.embedContent", + }, + "get": { + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" - } - } - } - } - } - } - }, - "/models": { - "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", - "schema": { - "type": "string" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1406,7 +1409,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/TunedModel" } } } @@ -1414,19 +1417,19 @@ } } }, - "/models/{modelsId}:countTokens": { + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1434,7 +1437,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensRequest" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -1445,7 +1448,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1453,19 +1456,19 @@ } } }, - "/models/{modelsId}:batchGenerateContent": { + "/tunedModels/{tunedModelsId}:streamGenerateContent": { "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "tunedModels.streamGenerateContent", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1473,7 +1476,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1484,7 +1487,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1492,19 +1500,19 @@ } } }, - "/models/{modelsId}:batchEmbedContents": { + "/tunedModels/{tunedModelsId}:transferOwnership": { "post": { - "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", - "operationId": "models.batchEmbedContents", + "description": "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": "modelsId", + "name": "tunedModelsId", "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 resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1512,7 +1520,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" + "$ref": "#/components/schemas/TransferOwnershipRequest" } } } @@ -1523,7 +1531,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } @@ -1531,52 +1539,27 @@ } } }, - "/models/{modelsId}/operations": { + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { "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", + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", + "name": "tunedModelsId", + "in": "path", + "required": true, "schema": { "type": "string" } }, { - "name": "modelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "The name of the operation's parent resource.", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", - "schema": { - "type": "string" - } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -1586,21 +1569,19 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/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", + }, + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -1608,67 +1589,77 @@ } }, { - "name": "modelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "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": "^models/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/dynamic/{dynamicId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "dynamic.streamGenerateContent", + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "parameters": [ { - "name": "dynamicId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$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" + "$ref": "#/components/schemas/Empty" } } } @@ -1676,19 +1667,19 @@ } } }, - "/dynamic/{dynamicId}:generateContent": { + "/tunedModels/{tunedModelsId}/permissions": { "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "dynamic.generateContent", + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", "parameters": [ { - "name": "dynamicId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1696,7 +1687,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -1707,15 +1698,161 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/files/{filesId}": { + }, + "get": { + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "schema": { + "type": "string" + } + }, + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListPermissionsResponse" + } + } + } + } + } + } + }, + "/tunedModels/{tunedModelsId}/operations": { + "get": { + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "tunedModels.operations.list", + "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + }, + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListOperationsResponse" + } + } + } + } + } + } + }, + "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "tunedModels.operations.get", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "operationsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + } + }, + "/files/{filesId}": { "delete": { "description": "Deletes the `File`.", "operationId": "files.delete", @@ -1862,65 +1999,38 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}": { - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "post": { + "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", "parameters": [ - { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, { "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", "pattern": "^fileSearchStores/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" } } } - } - }, - "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", - "parameters": [ - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+$" - } - } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } @@ -1928,15 +2038,15 @@ } } }, - "/fileSearchStores": { + "/generatedFiles": { "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", "schema": { "type": "integer", "format": "int32" @@ -1945,7 +2055,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", "schema": { "type": "string" } @@ -1957,32 +2067,45 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" + "$ref": "#/components/schemas/ListGeneratedFilesResponse" } } } } } - }, - "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/FileSearchStore" - } + } + }, + "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "generatedFiles.operations.get", + "parameters": [ + { + "name": "operationsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "generatedFilesId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", + "schema": { + "type": "string", + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Operation" } } } @@ -1990,13 +2113,79 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { - "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", - "parameters": [ - { - "name": "fileSearchStoresId", + "/fileSearchStores/{fileSearchStoresId}": { + "get": { + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", + "parameters": [ + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" + } + } + } + } + } + }, + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", + "parameters": [ + { + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } + } + } + } + }, + "/fileSearchStores/{fileSearchStoresId}:importFile": { + "post": { + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", + "parameters": [ + { + "name": "fileSearchStoresId", "in": "path", "required": true, "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", @@ -2029,27 +2218,26 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "/fileSearchStores": { "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", + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { - "type": "string" + "type": "integer", + "format": "int32" } }, { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", + "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.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "type": "string" } } ], @@ -2059,7 +2247,32 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" + } + } + } + } + } + }, + "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" } } } @@ -2067,15 +2280,24 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "/fileSearchStores/{fileSearchStoresId}/documents": { "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", + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", "schema": { "type": "string" } @@ -2084,10 +2306,10 @@ "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -2097,7 +2319,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } @@ -2187,24 +2409,15 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents": { + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", + "name": "operationsId", + "in": "path", + "required": true, "schema": { "type": "string" } @@ -2213,10 +2426,10 @@ "name": "fileSearchStoresId", "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/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], @@ -2226,7 +2439,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -2234,38 +2447,37 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { - "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", + "/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": "operationsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, { "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/Operation" } } } @@ -2273,15 +2485,15 @@ } } }, - "/corpora": { + "/cachedContents": { "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/CachedContent" } } } @@ -2292,7 +2504,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/CachedContent" } } } @@ -2300,13 +2512,13 @@ } }, "get": { - "description": "Lists all `Corpora` owned by the user.", - "operationId": "corpora.list", + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", + "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", "schema": { "type": "integer", "format": "int32" @@ -2315,7 +2527,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", "schema": { "type": "string" } @@ -2327,7 +2539,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCorporaResponse" + "$ref": "#/components/schemas/ListCachedContentsResponse" } } } @@ -2335,123 +2547,28 @@ } } }, - "/corpora/{corporaId}": { - "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", + "/cachedContents/{cachedContentsId}": { + "patch": { + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", "parameters": [ { - "name": "corporaId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Corpus" - } - } - } - } - } - }, - "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.delete", - "parameters": [ - { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } - } - } - } - } - } - }, - "/corpora/{corporaId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "corpora.operations.get", - "parameters": [ - { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } - } - } - } - } - }, - "/corpora/{corporaId}/permissions": { - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "corpora.permissions.create", - "parameters": [ - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^cachedContents/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -2459,7 +2576,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/CachedContent" } } } @@ -2470,90 +2587,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - } - } - }, - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "corpora.permissions.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "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": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" - } - } - } - } - } - } - }, - "/corpora/{corporaId}/permissions/{permissionsId}": { - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.permissions.get", - "parameters": [ - { - "name": "permissionsId", - "in": "path", - "required": true, - "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/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/CachedContent" } } } @@ -2561,25 +2595,17 @@ } }, "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], @@ -2596,54 +2622,28 @@ } } }, - "patch": { - "description": "Updates the permission.", - "operationId": "corpora.permissions.patch", + "get": { + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.get", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^cachedContents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/CachedContent" } } } @@ -2654,139 +2654,33 @@ }, "components": { "schemas": { - "RetrievedContext": { - "type": "object", + "CitationMetadata": { + "description": "A collection of source attributions for a piece of content.", "properties": { - "fileSearchStore": { - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", - "type": "string" - }, - "customMetadata": { + "citationSources": { + "description": "Citations to sources for a specific response.", "type": "array", "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" - }, - "description": "Optional. User-provided metadata about the retrieved context." - }, - "title": { - "description": "Optional. Title of the document.", - "type": "string" - }, - "text": { - "description": "Optional. Text of the chunk.", - "type": "string" - }, - "mediaId": { - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", - "type": "string" - }, - "uri": { - "description": "Optional. URI reference of the semantic retrieval document.", - "type": "string" - }, - "pageNumber": { - "type": "integer", - "description": "Optional. Page number of the retrieved context, if applicable.", - "format": "int32" - } - }, - "description": "Chunk from context retrieved by the file search tool." - }, - "SpeakerVoiceConfig": { - "properties": { - "speaker": { - "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", - "type": "string" - }, - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" - } - }, - "type": "object", - "description": "The configuration for a single speaker in a multi speaker setup." - }, - "InlinedEmbedContentRequest": { - "type": "object", - "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" - }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" - } - }, - "description": "The request to be processed in the batch." - }, - "InlinedRequest": { - "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" - }, - "metadata": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The metadata to be associated with the request." - } - }, - "type": "object", - "description": "The request to be processed in the batch." - }, - "CustomLongRunningOperation": { - "properties": { - "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`." - }, - "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": { - "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" - }, - "done": { - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", - "type": "boolean" - }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" + "$ref": "#/components/schemas/CitationSource" + } } }, "type": "object" }, "AudioResponseFormat": { "description": "Configuration for audio output format.", - "type": "object", "properties": { "bitRate": { "description": "Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).", - "format": "int32", - "type": "integer" + "type": "integer", + "format": "int32" }, "sampleRate": { "type": "integer", - "description": "Optional. Sample rate in Hz.", - "format": "int32" + "format": "int32", + "description": "Optional. Sample rate in Hz." }, "mimeType": { - "type": "string", "description": "Optional. The MIME type of the audio output.", "x-enum-descriptions": [ "Default value. This value is unused.", @@ -2805,9 +2699,11 @@ "AUDIO_WAV", "AUDIO_ALAW", "AUDIO_MULAW" - ] + ], + "type": "string" }, "delivery": { + "type": "string", "description": "Optional. The delivery mode for the audio output.", "x-enum-descriptions": [ "Default value. This value is unused.", @@ -2818,2807 +2714,2802 @@ "DELIVERY_UNSPECIFIED", "INLINE", "URI" - ], - "type": "string" + ] } - } + }, + "type": "object" }, - "FunctionResponse": { + "InlinedResponse": { + "type": "object", + "description": "The response to a single request in the batch.", "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`.", - "type": "string" - }, - "response": { + "metadata": { "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 \"$ref\" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal." + "description": "Output only. The metadata associated with the request.", + "readOnly": true }, - "parts": { + "error": { + "description": "Output only. The error encountered while processing the request.", + "readOnly": true, + "$ref": "#/components/schemas/Status" + }, + "response": { + "description": "Output only. The response to the request.", + "readOnly": true, + "$ref": "#/components/schemas/GenerateContentResponse" + } + } + }, + "ListDocumentsResponse": { + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "properties": { + "documents": { "type": "array", "items": { - "$ref": "#/components/schemas/FunctionResponsePart" + "$ref": "#/components/schemas/Document" }, - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types." - }, - "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", - "type": "string" - }, - "willContinue": { - "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", - "type": "boolean" + "description": "The returned `Document`s." }, - "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.", - "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" - ], + "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" } }, - "type": "object", - "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction." + "type": "object" }, - "GroundingChunkCustomMetadata": { + "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": { - "stringValue": { - "description": "Optional. The string value of the metadata.", - "type": "string" + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" }, - "numericValue": { - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", - "format": "float", - "type": "number" + "image": { + "description": "Optional. Grounding chunk from image search.", + "$ref": "#/components/schemas/Image" }, - "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" + "web": { + "description": "Grounding chunk from the web.", + "$ref": "#/components/schemas/Web" }, - "key": { - "description": "The key of the metadata.", - "type": "string" + "maps": { + "description": "Optional. Grounding chunk from Google Maps.", + "$ref": "#/components/schemas/Maps" + } + } + }, + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", + "properties": { + "urlMetadata": { + "description": "List of url context.", + "type": "array", + "items": { + "$ref": "#/components/schemas/UrlMetadata" + } } }, - "type": "object", - "description": "User provided metadata about the GroundingFact." + "type": "object" }, - "BatchStats": { + "TextResponseFormat": { "type": "object", + "description": "Configuration for text output format.", "properties": { - "failedRequestCount": { - "readOnly": true, - "type": "string", - "description": "Output only. The number of requests that failed to be processed.", - "format": "int64" - }, - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", - "format": "int64", - "readOnly": true, + "mimeType": { + "description": "Optional. The MIME type of the text output.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "JSON output format.", + "Plain text output format." + ], + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "APPLICATION_JSON", + "TEXT_PLAIN" + ], "type": "string" }, - "pendingRequestCount": { - "readOnly": true, - "type": "string", - "description": "Output only. The number of requests that are still pending processing.", - "format": "int64" - }, - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "format": "int64", - "readOnly": true, - "type": "string" + "schema": { + "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." } - }, - "description": "Stats about the batch." + } }, - "TuningSnapshot": { - "description": "Record for a single tuning step.", - "type": "object", + "ListGeneratedFilesResponse": { + "description": "Response for `ListGeneratedFiles`.", "properties": { - "meanLoss": { - "description": "Output only. The mean loss of the training examples for this step.", - "format": "float", - "readOnly": true, - "type": "number" - }, - "step": { - "description": "Output only. The tuning step.", - "format": "int32", - "readOnly": true, - "type": "integer" + "generatedFiles": { + "type": "array", + "items": { + "$ref": "#/components/schemas/GeneratedFile" + }, + "description": "The list of `GeneratedFile`s." }, - "epoch": { - "readOnly": true, + "nextPageToken": { + "type": "string", + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call." + } + }, + "type": "object" + }, + "TopCandidates": { + "type": "object", + "description": "Candidates with top log probabilities at each decoding step.", + "properties": { + "candidates": { + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + }, + "type": "array", + "description": "Sorted by log probability in descending order." + } + } + }, + "ThinkingConfig": { + "description": "Config for thinking features.", + "properties": { + "includeThoughts": { + "type": "boolean", + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available." + }, + "thinkingBudget": { + "description": "The number of thoughts tokens that the model should generate.", "type": "integer", - "description": "Output only. The epoch this step was part of.", "format": "int32" }, - "computeTime": { - "description": "Output only. The timestamp when this metric was computed.", - "format": "google-datetime", - "readOnly": true, + "thinkingLevel": { + "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.", + "x-enum-descriptions": [ + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." + ], + "enum": [ + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" + ], "type": "string" } - } + }, + "type": "object" }, - "ResponseFormatConfig": { + "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": { - "audio": { - "description": "Optional. Audio output format configuration.", - "$ref": "#/components/schemas/AudioResponseFormat" + "toolType": { + "type": "string", + "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." + ], + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ] }, - "image": { - "description": "Optional. Image output format configuration.", - "$ref": "#/components/schemas/ImageResponseFormat" + "args": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}" }, - "text": { - "description": "Optional. Text output format configuration.", - "$ref": "#/components/schemas/TextResponseFormat" + "id": { + "type": "string", + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`." } - }, - "description": "Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality." + } }, - "GroundingChunkStringList": { + "GenerateContentRequest": { + "description": "Request to generate a completion from the model.", "properties": { - "values": { - "description": "The string values of the list.", + "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" + }, + "generationConfig": { + "description": "Optional. Configuration options for model generation and outputs.", + "$ref": "#/components/schemas/GenerationConfig" + }, + "contents": { "type": "array", "items": { - "type": "string" - } - } - }, - "type": "object", - "description": "A list of string values." - }, - "BatchEmbedContentsRequest": { - "description": "Batch request to get embeddings from the model for a list of prompts.", - "properties": { - "requests": { - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", + "$ref": "#/components/schemas/Content" + }, + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request." + }, + "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": { + "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": { - "$ref": "#/components/schemas/EmbedContentRequest" + "$ref": "#/components/schemas/SafetySetting" } - } - }, - "type": "object" - }, - "TextResponseFormat": { - "properties": { - "mimeType": { - "description": "Optional. The MIME type of the text output.", + }, + "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.", + "$ref": "#/components/schemas/ToolConfig" + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "tools": { + "items": { + "$ref": "#/components/schemas/Tool" + }, + "type": "array", + "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." + }, + "systemInstruction": { + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", + "$ref": "#/components/schemas/Content" + }, + "serviceTier": { + "type": "string", + "description": "Optional. The service tier of the request.", "x-enum-descriptions": [ - "Default value. This value is unused.", - "JSON output format.", - "Plain text output format." + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." ], "enum": [ - "MIME_TYPE_UNSPECIFIED", - "APPLICATION_JSON", - "TEXT_PLAIN" - ], - "type": "string" - }, - "schema": { - "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." + "unspecified", + "standard", + "flex", + "priority" + ] } }, - "type": "object", - "description": "Configuration for text output format." + "type": "object" }, - "UrlMetadata": { + "EmbedContentResponse": { "type": "object", + "description": "The response to an `EmbedContentRequest`.", "properties": { - "retrievedUrl": { - "description": "Retrieved url by the tool.", - "type": "string" + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbeddingUsageMetadata" }, - "urlRetrievalStatus": { - "description": "Status of the url retrieval.", - "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." - ], - "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" - ], - "type": "string" + "embedding": { + "description": "Output only. The embedding generated from the input content.", + "readOnly": true, + "$ref": "#/components/schemas/ContentEmbedding" } - }, - "description": "Context of the a single url retrieval." + } }, "EmbedContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", "properties": { + "responsesFile": { + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "readOnly": true, + "type": "string" + }, "inlinedResponses": { "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "$ref": "#/components/schemas/InlinedEmbedContentResponses", - "readOnly": true - }, - "responsesFile": { "readOnly": true, - "type": "string", - "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." + "$ref": "#/components/schemas/InlinedEmbedContentResponses" } }, - "type": "object", - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field." + "type": "object" }, - "UrlContextMetadata": { + "ImportFileRequest": { "type": "object", + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", "properties": { - "urlMetadata": { - "type": "array", + "customMetadata": { "items": { - "$ref": "#/components/schemas/UrlMetadata" + "$ref": "#/components/schemas/CustomMetadata" }, - "description": "List of url context." - } - }, - "description": "Metadata related to url context retrieval tool." - }, - "Blob": { - "type": "object", - "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", - "type": "string" + "type": "array", + "description": "Custom metadata to be associated with the file." }, - "data": { - "description": "Raw bytes for media formats.", - "format": "byte", + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" + }, + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", "type": "string" } - }, - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field." + } }, - "GenerateContentBatch": { + "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.", + "$ref": "#/components/schemas/WhiteSpaceConfig" + } + }, + "type": "object" + }, + "GroundingChunkCustomMetadata": { "type": "object", + "description": "User provided metadata about the GroundingFact.", "properties": { - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" + }, + "numericValue": { + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "type": "number", + "format": "float" + }, + "key": { + "type": "string", + "description": "The key of the metadata." + }, + "stringValue": { + "description": "Optional. The string value of the metadata.", + "type": "string" + } + } + }, + "SafetyRating": { + "type": "object", + "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": { + "probability": { + "description": "Required. The probability of harm for this content.", + "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." + ], + "enum": [ + "HARM_PROBABILITY_UNSPECIFIED", + "NEGLIGIBLE", + "LOW", + "MEDIUM", + "HIGH" + ], "type": "string" }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" + "blocked": { + "description": "Was this content blocked because of this rating?", + "type": "boolean" }, - "updateTime": { - "description": "Output only. The time at which the batch was last updated.", - "format": "google-datetime", - "readOnly": true, + "category": { + "description": "Required. The category for this rating.", + "x-enum-descriptions": [ + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ], + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ], + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], "type": "string" + } + } + }, + "UsageMetadata": { + "type": "object", + "description": "Metadata on the generation request's token usage.", + "properties": { + "promptTokensDetails": { + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input.", + "readOnly": true }, - "state": { + "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" + }, + "candidatesTokensDetails": { + "description": "Output only. List of modalities that were returned in the response.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } + }, + "cacheTokensDetails": { + "description": "Output only. List of modalities of the cached content in the request input.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } + }, + "toolUsePromptTokenCount": { + "description": "Output only. Number of tokens present in tool-use prompt(s).", "readOnly": true, + "type": "integer", + "format": "int32" + }, + "totalTokenCount": { + "type": "integer", + "format": "int32", + "description": "Total token count for the generation request (prompt + thoughts + response candidates)." + }, + "cachedContentTokenCount": { + "type": "integer", + "format": "int32", + "description": "Number of tokens in the cached part of the prompt (the cached content)" + }, + "serviceTier": { "type": "string", - "description": "Output only. The state of the batch.", + "readOnly": true, + "description": "Output only. Service tier of the request.", "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." + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." ], "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" + "unspecified", + "standard", + "flex", + "priority" ] }, - "endTime": { - "readOnly": true, - "type": "string", - "description": "Output only. The time at which the batch processing completed.", - "format": "google-datetime" - }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/BatchStats", + "thoughtsTokenCount": { + "type": "integer", + "format": "int32", + "description": "Output only. Number of tokens of thoughts for thinking models.", "readOnly": true }, - "displayName": { - "description": "Required. The user-defined name of this batch.", - "type": "string" - }, - "name": { - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "readOnly": true, - "type": "string" + "candidatesTokenCount": { + "description": "Total number of tokens across all the generated response candidates.", + "type": "integer", + "format": "int32" }, - "createTime": { - "description": "Output only. The time at which the batch was created.", - "format": "google-datetime", + "toolUsePromptTokensDetails": { + "description": "Output only. List of modalities that were processed for tool-use request inputs.", "readOnly": true, - "type": "string" + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } }, - "output": { - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/GenerateContentBatchOutput", + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", "readOnly": true }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "format": "int64", - "type": "string" + "responseTokensDetails": { + "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } } - }, - "description": "A resource representing a batch of `GenerateContent` requests." + } }, - "SearchEntryPoint": { - "description": "Google search entry point.", + "TuningExamples": { + "description": "A set of tuning examples. Can be training or validation data.", "properties": { - "renderedContent": { - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", - "type": "string" - }, - "sdkBlob": { - "type": "string", - "description": "Optional. Base64 encoded JSON representing array of tuple.", - "format": "byte" + "examples": { + "items": { + "$ref": "#/components/schemas/TuningExample" + }, + "type": "array", + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type." } }, "type": "object" }, - "AttributionSourceId": { - "type": "object", + "BatchGenerateContentRequest": { + "description": "Request for a `BatchGenerateContent` operation.", "properties": { - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" - }, - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/GenerateContentBatch" } }, - "description": "Identifier for the source contributing to this attribution." + "type": "object" }, - "Document": { - "description": "A `Document` is a collection of `Chunk`s.", + "VoiceConfig": { + "type": "object", + "description": "The configuration for the voice to use.", "properties": { - "sizeBytes": { + "prebuiltVoiceConfig": { + "description": "The configuration for the prebuilt voice to use.", + "$ref": "#/components/schemas/PrebuiltVoiceConfig" + } + } + }, + "GenerateContentBatchOutput": { + "type": "object", + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", + "properties": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", "readOnly": true, + "$ref": "#/components/schemas/InlinedResponses" + }, + "responsesFile": { "type": "string", - "description": "Output only. The size of raw bytes ingested into the Document.", - "format": "int64" + "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.", + "readOnly": true + } + } + }, + "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": { + "id": { + "type": "string", + "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`." }, "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" }, - "createTime": { - "readOnly": true, - "type": "string", - "description": "Output only. The Timestamp of when the `Document` was created.", - "format": "google-datetime" + "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 \"$ref\" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal." }, - "state": { - "description": "Output only. Current state of the `Document`.", + "parts": { + "items": { + "$ref": "#/components/schemas/FunctionResponsePart" + }, + "type": "array", + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types." + }, + "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": { + "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.", "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." + "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": [ - "STATE_UNSPECIFIED", - "STATE_PENDING", - "STATE_ACTIVE", - "STATE_FAILED" + "SCHEDULING_UNSPECIFIED", + "SILENT", + "WHEN_IDLE", + "INTERRUPT" ], - "readOnly": true, - "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`.", - "type": "array", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - } - }, - "displayName": { - "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", - "type": "string" - }, - "mimeType": { - "description": "Output only. The mime type of the Document.", - "readOnly": true, - "type": "string" - }, - "updateTime": { - "description": "Output only. The Timestamp of when the `Document` was last updated.", - "format": "google-datetime", - "readOnly": true, "type": "string" } }, "type": "object" }, - "Part": { - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "GenerationConfig": { + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "properties": { - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" + "enableEnhancedCivicAnswers": { + "type": "boolean", + "description": "Optional. Enables enhanced civic answers. It may not be available for all models." }, - "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.", - "$ref": "#/components/schemas/FunctionResponse" + "candidateCount": { + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", + "type": "integer", + "format": "int32" }, - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" + "responseLogprobs": { + "type": "boolean", + "description": "Optional. If true, export the logprobs results in response." }, - "thought": { - "description": "Optional. Indicates if the part is thought from the model.", - "type": "boolean" + "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.", + "$ref": "#/components/schemas/Schema" }, - "toolResponse": { - "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", - "$ref": "#/components/schemas/ToolResponse" + "thinkingConfig": { + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", + "$ref": "#/components/schemas/ThinkingConfig" }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" + "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." }, - "thoughtSignature": { - "type": "string", - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", - "format": "byte" + "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." }, - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" + "seed": { + "type": "integer", + "format": "int32", + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed." }, - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" + "temperature": { + "type": "number", + "format": "float", + "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]." }, - "text": { - "description": "Inline text.", + "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" }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" + "presencePenalty": { + "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", + "type": "number", + "format": "float" }, - "partMetadata": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", - "type": "object" + "imageConfig": { + "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", + "$ref": "#/components/schemas/ImageConfig" }, - "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.", - "$ref": "#/components/schemas/ToolCall" + "responseFormat": { + "description": "Optional. Configuration for the response output format. Allows specifying output configuration per modality (text, audio, image) in a flat structure.", + "$ref": "#/components/schemas/ResponseFormatConfig" }, - "codeExecutionResult": { - "description": "Result of executing the `ExecutableCode`.", - "$ref": "#/components/schemas/CodeExecutionResult" - } - }, - "type": "object" - }, - "EmbeddingUsageMetadata": { - "type": "object", - "properties": { - "promptTokenCount": { - "description": "Output only. Number of tokens in the prompt.", + "topK": { + "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "type": "integer", + "format": "int32" + }, + "responseModalities": { + "type": "array", + "items": { + "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." + ], + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "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." + }, + "logprobs": { + "type": "integer", "format": "int32", - "readOnly": true, - "type": "integer" + "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]." }, - "promptTokenDetails": { - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, + "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": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "string" } - } - }, - "description": "Metadata on the usage of the embedding request." - }, - "FunctionCallingConfig": { - "properties": { - "mode": { - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", + }, + "translationConfig": { + "description": "Optional. Config for translation.", + "$ref": "#/components/schemas/TranslationConfig" + }, + "speechConfig": { + "description": "Optional. The speech generation config.", + "$ref": "#/components/schemas/SpeechConfig" + }, + "mediaResolution": { + "description": "Optional. If specified, the media resolution specified will be used.", "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\"." + "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": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" + "MEDIA_RESOLUTION_UNSPECIFIED", + "MEDIA_RESOLUTION_LOW", + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" ], "type": "string" }, - "allowedFunctionNames": { - "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", - "type": "array", - "items": { - "type": "string" - } + "maxOutputTokens": { + "type": "integer", + "format": "int32", + "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." + }, + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." } }, + "type": "object" + }, + "EmbedContentBatchStats": { "type": "object", - "description": "Configuration for specifying function calling behavior." + "description": "Stats about the batch.", + "properties": { + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "successfulRequestCount": { + "type": "string", + "format": "int64", + "description": "Output only. The number of requests that were successfully processed.", + "readOnly": true + }, + "failedRequestCount": { + "type": "string", + "format": "int64", + "description": "Output only. The number of requests that failed to be processed.", + "readOnly": true + }, + "requestCount": { + "type": "string", + "format": "int64", + "description": "Output only. The number of requests in the batch.", + "readOnly": true + } + } }, - "GoogleSearchRetrieval": { - "description": "Tool to retrieve public web data for grounding, powered by Google.", + "ListOperationsResponse": { + "description": "The response message for Operations.ListOperations.", "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" + "nextPageToken": { + "type": "string", + "description": "The standard List next-page token." + }, + "unreachable": { + "items": { + "type": "string" + }, + "type": "array", + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations." + }, + "operations": { + "description": "A list of operations that matches the specified filter in the request.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Operation" + } } }, "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.", + "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" + }, + "ExecutableCode": { "type": "object", + "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": { - "retirementTime": { - "description": "The time at which the model will be retired.", - "format": "google-datetime", - "type": "string" + "id": { + "type": "string", + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`." }, - "modelStage": { - "enumDeprecated": [ - false, - true, - false, - false, - false, - false, - true, - false - ], - "description": "The stage of the underlying model.", + "language": { + "description": "Required. Programming language of the `code`.", "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." + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." ], "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" + "LANGUAGE_UNSPECIFIED", + "PYTHON" ], "type": "string" }, - "message": { - "description": "A message explaining the model status.", - "type": "string" + "code": { + "type": "string", + "description": "Required. The code to be executed." } } }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", - "type": "object", + "GroundingChunkStringList": { + "description": "A list of string values.", "properties": { "values": { - "description": "The string values of the metadata to store.", - "type": "array", + "description": "The string values of the list.", "items": { "type": "string" - } + }, + "type": "array" + } + }, + "type": "object" + }, + "VideoFileMetadata": { + "type": "object", + "description": "Metadata for a video `File`.", + "properties": { + "videoDuration": { + "description": "Duration of the video.", + "type": "string", + "format": "google-duration" } } }, - "Candidate": { - "description": "A response candidate generated from the model.", + "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", "properties": { - "finishReason": { - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", + "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.", + "readOnly": true, + "type": "string" + }, + "role": { + "description": "Required. The role granted by this permission.", "x-enum-descriptions": [ - "Default value. This value is unused.", - "Natural stop point of the model or provided stop sequence.", - "The maximum number of tokens as specified in the request was reached.", - "The response candidate content was flagged for safety reasons.", - "The response candidate content was flagged for recitation reasons.", - "The response candidate content was flagged for using an unsupported language.", - "Unknown reason.", - "Token generation stopped because the content contains forbidden terms.", - "Token generation stopped for potentially containing prohibited content.", - "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", - "The function call generated by the model is invalid.", - "Token generation stopped because generated images contain safety violations.", - "Image generation stopped because generated images has other prohibited content.", - "Image generation stopped because of other miscellaneous issue.", - "The model was expected to generate an image, but none was generated.", - "Image generation stopped due to recitation.", - "Model generated a tool call but no tools were enabled in the request.", - "Model called too many tools consecutively, thus the system exited execution.", - "Request has at least one thought signature missing.", - "Finished due to malformed response.", - "Request was filtered by an escalation rule." + "The 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." ], "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" + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" ], - "readOnly": true, "type": "string" }, - "avgLogprobs": { - "description": "Output only. Average log probability score of the candidate.", - "format": "double", - "readOnly": true, - "type": "number" - }, - "logprobsResult": { - "readOnly": true, - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", - "$ref": "#/components/schemas/LogprobsResult" - }, - "index": { - "description": "Output only. Index of the candidate in the list of response candidates.", - "format": "int32", - "readOnly": true, - "type": "integer" - }, - "groundingMetadata": { - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", - "$ref": "#/components/schemas/GroundingMetadata", - "readOnly": true - }, - "finishMessage": { - "readOnly": true, + "granteeType": { "type": "string", - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set." - }, - "tokenCount": { - "description": "Output only. Token count for this candidate.", - "format": "int32", - "readOnly": true, - "type": "integer" + "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." + ], + "enum": [ + "GRANTEE_TYPE_UNSPECIFIED", + "USER", + "GROUP", + "EVERYONE" + ] }, - "content": { - "description": "Output only. Generated content returned from the model.", - "$ref": "#/components/schemas/Content", - "readOnly": true - }, - "groundingAttributions": { - "readOnly": true, - "type": "array", - "items": { - "$ref": "#/components/schemas/GroundingAttribution" - }, - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls." - }, - "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.", - "$ref": "#/components/schemas/CitationMetadata" - }, - "urlContextMetadata": { - "description": "Output only. Metadata related to url context retrieval tool.", - "$ref": "#/components/schemas/UrlContextMetadata", - "readOnly": true + "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" + } + }, + "type": "object" + }, + "ListCorporaResponse": { + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", + "properties": { + "nextPageToken": { + "type": "string", + "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." }, - "safetyRatings": { + "corpora": { "type": "array", "items": { - "$ref": "#/components/schemas/SafetyRating" + "$ref": "#/components/schemas/Corpus" }, - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category." + "description": "The returned corpora." } }, "type": "object" }, "RegisterFilesResponse": { "description": "Response for `RegisterFiles`.", - "type": "object", "properties": { "files": { - "type": "array", "items": { "$ref": "#/components/schemas/File" }, + "type": "array", "description": "The registered files to be used when calling GenerateContent." } - } - }, - "FunctionResponsePart": { - "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", - "properties": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" - } }, "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", + "FunctionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", "properties": { - "reviewId": { - "description": "The ID of the review snippet.", - "type": "string" + "args": { + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object", + "description": "Optional. The function parameters and values in JSON object format." }, - "googleMapsUri": { - "description": "A link that corresponds to the user review on Google Maps.", - "type": "string" + "id": { + "type": "string", + "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`." }, - "title": { - "description": "Title of the review.", + "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" } - } + }, + "type": "object" }, - "CustomMetadata": { - "description": "User provided metadata stored as key-value pairs.", - "type": "object", + "RetrievalConfig": { + "description": "Retrieval config.", "properties": { - "key": { - "description": "Required. The key of the metadata to store.", - "type": "string" - }, - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" - }, - "stringValue": { - "description": "The string value of the metadata to store.", - "type": "string" + "languageCode": { + "type": "string", + "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)." }, - "numericValue": { - "description": "The numeric value of the metadata to store.", - "format": "float", - "type": "number" + "latLng": { + "description": "Optional. The location of the user.", + "$ref": "#/components/schemas/LatLng" } - } + }, + "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", + "GeneratedFile": { + "description": "A file generated on behalf of a user.", "properties": { - "id": { - "description": "Optional. The identifier of the tool call this response is for.", - "type": "string" + "name": { + "type": "string", + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`" }, - "toolType": { + "mimeType": { "type": "string", - "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "description": "MIME type of the generatedFile." + }, + "state": { + "readOnly": true, + "type": "string", + "description": "Output only. The state of the GeneratedFile.", "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." + "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": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" ] }, - "response": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." + "error": { + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "$ref": "#/components/schemas/Status" + } + }, + "type": "object" + }, + "SearchEntryPoint": { + "description": "Google search entry point.", + "properties": { + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", + "type": "string" + }, + "sdkBlob": { + "type": "string", + "format": "byte", + "description": "Optional. Base64 encoded JSON representing array of tuple." + } + }, + "type": "object" + }, + "CountTokensResponse": { + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "properties": { + "cachedContentTokenCount": { + "type": "integer", + "format": "int32", + "description": "Number of tokens in the cached part of the prompt (the cached content)." + }, + "promptTokensDetails": { + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "type": "array", + "description": "Output only. List of modalities that were processed in the request input.", + "readOnly": true + }, + "totalTokens": { + "type": "integer", + "format": "int32", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative." + }, + "cacheTokensDetails": { + "description": "Output only. List of modalities that were processed in the cached content.", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "Optional. The tool response." + "type": "array" } - } + }, + "type": "object" }, - "TuningExamples": { - "description": "A set of tuning examples. Can be training or validation data.", + "ListTunedModelsResponse": { "type": "object", + "description": "Response from `ListTunedModels` containing a paginated list of Models.", "properties": { - "examples": { - "type": "array", + "tunedModels": { + "description": "The returned Models.", "items": { - "$ref": "#/components/schemas/TuningExample" + "$ref": "#/components/schemas/TunedModel" }, - "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type." + "type": "array" + }, + "nextPageToken": { + "type": "string", + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." } } }, - "Web": { - "description": "Chunk from the web.", + "InlinedRequest": { "type": "object", + "description": "The request to be processed in the batch.", "properties": { - "uri": { - "readOnly": true, - "type": "string", - "description": "Output only. URI reference of the chunk." + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" }, - "title": { - "readOnly": true, - "type": "string", - "description": "Output only. Title of the chunk." + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object" } } }, - "TunedModel": { - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", + "CodeExecution": { + "type": "object", + "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": {} + }, + "ModelStatus": { + "type": "object", + "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": { - "state": { - "readOnly": true, + "modelStage": { "type": "string", - "description": "Output only. The state of the tuned model.", + "description": "The stage of the underlying 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." + "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." + ], + "enumDeprecated": [ + false, + true, + false, + false, + false, + false, + true, + false ], "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" - ] - }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" - }, - "topK": { - "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", - "format": "int32", - "type": "integer" - }, - "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", - "type": "string" + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" + ] }, - "updateTime": { - "description": "Output only. The timestamp when this model was updated.", - "format": "google-datetime", - "readOnly": true, - "type": "string" + "retirementTime": { + "description": "The time at which the model will be retired.", + "type": "string", + "format": "google-datetime" }, - "readerProjectNumbers": { + "message": { + "type": "string", + "description": "A message explaining the model status." + } + } + }, + "InlinedEmbedContentRequests": { + "type": "object", + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "properties": { + "requests": { "type": "array", "items": { - "type": "string", - "format": "int64" + "$ref": "#/components/schemas/InlinedEmbedContentRequest" }, - "description": "Optional. List of project numbers that have read access to the tuned model." + "description": "Required. The requests to be processed in the batch." + } + } + }, + "Part": { + "type": "object", + "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": { + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" }, - "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" + "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." + } }, - "description": { - "description": "Optional. A short description of this model.", - "type": "string" + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" }, - "temperature": { - "type": "number", - "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", - "format": "float" + "toolCall": { + "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", + "$ref": "#/components/schemas/ToolCall" }, - "name": { - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", - "readOnly": true, + "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" + }, + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" + }, + "executableCode": { + "description": "Code generated by the model that is meant to be executed.", + "$ref": "#/components/schemas/ExecutableCode" + }, + "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`.", + "$ref": "#/components/schemas/ToolResponse" + }, + "text": { + "description": "Inline text.", "type": "string" }, - "createTime": { - "readOnly": true, + "functionResponse": { + "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", + "$ref": "#/components/schemas/FunctionResponse" + }, + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" + }, + "thoughtSignature": { + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", "type": "string", - "description": "Output only. The timestamp when this model was created.", - "format": "google-datetime" + "format": "byte" + } + } + }, + "InputConfig": { + "description": "Configures the input to the batch request.", + "properties": { + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedRequests" }, - "displayName": { - "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" } }, "type": "object" }, - "Dataset": { + "Image": { + "description": "Chunk from image search.", "properties": { - "examples": { - "description": "Optional. Inline examples with simple input/output text.", - "$ref": "#/components/schemas/TuningExamples" + "sourceUri": { + "type": "string", + "description": "The web page URI for attribution." + }, + "title": { + "type": "string", + "description": "The title of the web page that the image is from." + }, + "domain": { + "type": "string", + "description": "The root domain of the web page that the image is from, e.g. \"example.com\"." + }, + "imageUri": { + "type": "string", + "description": "The image asset URL." } }, - "type": "object", - "description": "Dataset for training or validation." + "type": "object" }, - "TransferOwnershipRequest": { - "description": "Request to transfer the ownership of the tuned model.", - "type": "object", + "CreateFileRequest": { + "description": "Request for `CreateFile`.", "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", - "type": "string" + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" } - } + }, + "type": "object" }, - "Corpus": { + "Model": { + "type": "object", + "description": "Information about a Generative Language Model.", "properties": { + "topP": { + "type": "number", + "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." + }, + "temperature": { + "type": "number", + "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." + }, + "outputTokenLimit": { + "type": "integer", + "format": "int32", + "description": "Maximum number of output tokens available for this model." + }, + "baseModelId": { + "type": "string", + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`" + }, "displayName": { - "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "description": "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" }, - "updateTime": { - "readOnly": true, + "version": { "type": "string", - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "format": "google-datetime" + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)" }, - "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`", - "readOnly": true, - "type": "string" + "inputTokenLimit": { + "type": "integer", + "format": "int32", + "description": "Maximum number of input tokens allowed for this model." }, - "createTime": { - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "format": "google-datetime", - "readOnly": true, - "type": "string" - } - }, - "type": "object", - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora." - }, - "ListOperationsResponse": { - "description": "The response message for Operations.ListOperations.", - "properties": { - "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.", - "type": "array", + "supportedGenerationMethods": { "items": { "type": "string" - } - }, - "operations": { - "description": "A list of operations that matches the specified filter in the request.", + }, "type": "array", - "items": { - "$ref": "#/components/schemas/Operation" - } + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`." }, - "nextPageToken": { - "description": "The standard List next-page token.", - "type": "string" - } - }, - "type": "object" - }, - "SemanticRetrieverChunk": { - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", - "type": "object", - "properties": { - "source": { - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", - "readOnly": true, + "description": { + "description": "A short description of the model.", "type": "string" }, - "chunk": { - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", - "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" + }, + "thinking": { + "type": "boolean", + "description": "Whether the model supports thinking." + }, + "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." + }, + "maxTemperature": { + "description": "The maximum temperature this model can use.", + "type": "number", + "format": "float" } } }, - "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", + "VideoMetadata": { "type": "object", "properties": { - "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" - }, - "role": { - "description": "Required. The role granted by this permission.", - "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." - ], - "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" - ], - "type": "string" - }, - "granteeType": { - "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." - ], - "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" - ], - "type": "string" + "fps": { + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", + "type": "number", + "format": "double" }, - "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.", - "readOnly": true, - "type": "string" - } - } - }, - "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": { - "longitude": { - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", - "format": "double", - "type": "number" + "endOffset": { + "description": "Optional. The end offset of the video.", + "type": "string", + "format": "google-duration" }, - "latitude": { - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", - "format": "double", - "type": "number" + "startOffset": { + "description": "Optional. The start offset of the video.", + "type": "string", + "format": "google-duration" } }, - "type": "object" + "deprecated": true, + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content." }, - "ListCachedContentsResponse": { - "type": "object", + "FunctionCallingConfig": { + "description": "Configuration for specifying function calling behavior.", "properties": { - "cachedContents": { - "description": "List of cached contents.", - "type": "array", + "allowedFunctionNames": { "items": { - "$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" - } - }, - "description": "Response with CachedContents list." - }, - "ToolConfig": { - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", - "type": "object", - "properties": { - "includeServerSideToolInvocations": { - "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", - "type": "boolean" - }, - "functionCallingConfig": { - "description": "Optional. Function calling config.", - "$ref": "#/components/schemas/FunctionCallingConfig" - }, - "retrievalConfig": { - "description": "Optional. Retrieval config.", - "$ref": "#/components/schemas/RetrievalConfig" - } - } - }, - "EmbedContentRequest": { - "description": "Request containing the `Content` for the model to embed.", - "properties": { - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" - }, - "embedContentConfig": { - "description": "Optional. Configuration for the EmbedContent request.", - "$ref": "#/components/schemas/EmbedContentConfig" - }, - "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" - }, - "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`).", - "format": "int32", - "deprecated": true, - "type": "integer" - }, - "title": { - "deprecated": true, - "type": "string", - "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" + }, + "type": "array", + "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." }, - "taskType": { - "deprecated": true, + "mode": { "type": "string", - "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`).", + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", "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." + "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\"." ], "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" + "MODE_UNSPECIFIED", + "AUTO", + "ANY", + "NONE", + "VALIDATED" ] } }, "type": "object" }, - "Model": { - "description": "Information about a Generative Language Model.", + "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": { - "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" - }, - "inputTokenLimit": { - "type": "integer", - "description": "Maximum number of input tokens allowed for this model.", - "format": "int32" - }, - "displayName": { - "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", - "type": "string" - }, - "thinking": { - "description": "Whether the model supports thinking.", - "type": "boolean" - }, - "supportedGenerationMethods": { - "type": "array", + "parts": { + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", "items": { - "type": "string" + "$ref": "#/components/schemas/Part" }, - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`." - }, - "description": { - "description": "A short description of the model.", - "type": "string" - }, - "topP": { - "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", - "format": "float", - "type": "number" - }, - "version": { - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", - "type": "string" - }, - "maxTemperature": { - "type": "number", - "description": "The maximum temperature this model can use.", - "format": "float" - }, - "temperature": { - "type": "number", - "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" - }, - "topK": { - "type": "integer", - "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.", - "format": "int32" - }, - "outputTokenLimit": { - "type": "integer", - "description": "Maximum number of output tokens available for this model.", - "format": "int32" + "type": "array" }, - "baseModelId": { - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "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" } } }, - "ContentEmbedding": { - "type": "object", + "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "description": "Grounding support.", "properties": { - "shape": { - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", + "segment": { + "description": "Segment of the content this support belongs to.", + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + }, + "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).", "type": "array", "items": { "type": "integer", "format": "int32" } }, - "values": { - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", - "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.", "items": { "type": "number", "format": "float" + }, + "type": "array" + }, + "renderedParts": { + "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.", + "readOnly": true, + "type": "array", + "items": { + "type": "integer", + "format": "int32" } } }, - "description": "A list of floats representing an embedding." + "type": "object" }, - "ImageResponseFormat": { - "type": "object", + "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`.", "properties": { - "mimeType": { + "usageMetadata": { + "description": "Output only. Metadata on the generation requests' token usage.", + "readOnly": true, + "$ref": "#/components/schemas/UsageMetadata" + }, + "modelVersion": { "type": "string", - "description": "Optional. The MIME type of the image output.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "JPEG image format." - ], - "enum": [ - "MIME_TYPE_UNSPECIFIED", - "IMAGE_JPEG" - ] + "description": "Output only. The model version used to generate the response.", + "readOnly": true }, - "delivery": { - "description": "Optional. The delivery mode for the image output.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Image data is returned inline in the response.", - "Image data is returned as a URI." - ], - "enum": [ - "DELIVERY_UNSPECIFIED", - "INLINE", - "URI" - ], - "type": "string" - }, - "imageSize": { - "type": "string", - "description": "Optional. The size of the image output.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "512px image size.", - "1K image size.", - "2K image size.", - "4K image size." - ], - "enum": [ - "IMAGE_SIZE_UNSPECIFIED", - "IMAGE_SIZE_FIVE_TWELVE", - "IMAGE_SIZE_ONE_K", - "IMAGE_SIZE_TWO_K", - "IMAGE_SIZE_FOUR_K" - ] - }, - "aspectRatio": { - "description": "Optional. The aspect ratio for the image output.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "1:1 aspect ratio.", - "2:3 aspect ratio.", - "3:2 aspect ratio.", - "3:4 aspect ratio.", - "4:3 aspect ratio.", - "4:5 aspect ratio.", - "5:4 aspect ratio.", - "9:16 aspect ratio.", - "16:9 aspect ratio.", - "21:9 aspect ratio.", - "1:8 aspect ratio.", - "8:1 aspect ratio.", - "1:4 aspect ratio.", - "4:1 aspect ratio." - ], - "enum": [ - "ASPECT_RATIO_UNSPECIFIED", - "ASPECT_RATIO_ONE_BY_ONE", - "ASPECT_RATIO_TWO_BY_THREE", - "ASPECT_RATIO_THREE_BY_TWO", - "ASPECT_RATIO_THREE_BY_FOUR", - "ASPECT_RATIO_FOUR_BY_THREE", - "ASPECT_RATIO_FOUR_BY_FIVE", - "ASPECT_RATIO_FIVE_BY_FOUR", - "ASPECT_RATIO_NINE_BY_SIXTEEN", - "ASPECT_RATIO_SIXTEEN_BY_NINE", - "ASPECT_RATIO_TWENTY_ONE_BY_NINE", - "ASPECT_RATIO_ONE_BY_EIGHT", - "ASPECT_RATIO_EIGHT_BY_ONE", - "ASPECT_RATIO_ONE_BY_FOUR", - "ASPECT_RATIO_FOUR_BY_ONE" - ], + "responseId": { + "description": "Output only. response_id is used to identify each response.", + "readOnly": true, "type": "string" - } - }, - "description": "Configuration for image output format." - }, - "RetrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "properties": { - "googleSearchDynamicRetrievalScore": { - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", - "format": "float", - "type": "number" - } - }, - "type": "object" - }, - "Tool": { - "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", - "type": "object", - "properties": { - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" - }, - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" - }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" }, - "functionDeclarations": { - "type": "array", - "items": { - "$ref": "#/components/schemas/FunctionDeclaration" - }, - "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn." + "modelStatus": { + "description": "Output only. The current model status of this model.", + "readOnly": true, + "$ref": "#/components/schemas/ModelStatus" }, - "mcpServers": { - "description": "Optional. MCP Servers to connect to.", + "candidates": { + "description": "Candidate responses from the model.", "type": "array", "items": { - "$ref": "#/components/schemas/McpServer" + "$ref": "#/components/schemas/Candidate" } - }, - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" - }, - "googleMaps": { - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", - "$ref": "#/components/schemas/GoogleMaps" - }, - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" } - } + }, + "type": "object" }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { - "description": "Grounding support.", + "PromptFeedback": { + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", "properties": { - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" - }, - "confidenceScores": { - "type": "array", - "items": { - "type": "number", - "format": "float" - }, - "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." + "blockReason": { + "type": "string", + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", + "Prompt was blocked due to unknown reasons.", + "Prompt was blocked due to the terms which are included from the terminology blocklist.", + "Prompt was blocked due to prohibited content.", + "Candidates blocked due to unsafe image generation content." + ], + "enum": [ + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ] }, - "renderedParts": { - "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.", - "readOnly": true, + "safetyRatings": { + "description": "Ratings for safety of the prompt. There is at most one rating per category.", "type": "array", "items": { - "type": "integer", - "format": "int32" + "$ref": "#/components/schemas/SafetyRating" } - }, - "groundingChunkIndices": { - "type": "array", - "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": "object" }, - "EmbedContentBatchStats": { - "description": "Stats about the batch.", + "CachedContentUsageMetadata": { + "description": "Metadata on the usage of the cached content.", "properties": { - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", - "format": "int64", - "readOnly": true, - "type": "string" - }, - "pendingRequestCount": { - "readOnly": true, - "type": "string", - "description": "Output only. The number of requests that are still pending processing.", - "format": "int64" - }, - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "format": "int64", - "readOnly": true, - "type": "string" - }, - "failedRequestCount": { - "readOnly": true, - "type": "string", - "description": "Output only. The number of requests that failed to be processed.", - "format": "int64" + "totalTokenCount": { + "description": "Total number of tokens that the cached content consumes.", + "type": "integer", + "format": "int32" } }, "type": "object" }, - "StreamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "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": { - "timeout": { - "type": "string", - "description": "HTTP timeout for regular operations.", - "format": "google-duration" - }, - "terminateOnClose": { - "description": "Whether to close the client session when the transport closes.", - "type": "boolean" + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" }, - "sseReadTimeout": { + "name": { "type": "string", - "description": "Timeout for SSE read operations.", - "format": "google-duration" - }, - "headers": { - "type": "object", - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "additionalProperties": { - "type": "string" - } - }, - "url": { - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", - "type": "string" + "description": "The name of the MCPServer." } } }, - "ToolCall": { + "RetrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", "properties": { - "id": { - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", - "type": "string" + "googleSearchDynamicRetrievalScore": { + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", + "type": "number", + "format": "float" + } + }, + "type": "object" + }, + "InlinedEmbedContentRequest": { + "description": "The request to be processed in the batch.", + "properties": { + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/EmbedContentRequest" }, - "toolType": { - "description": "Required. The type of tool that was called.", - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ], - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ], - "type": "string" - }, - "args": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}" - } - }, - "type": "object", - "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`." - }, - "Maps": { - "properties": { - "placeId": { - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", - "type": "string" - }, - "placeAnswerSources": { - "description": "Sources that provide answers about the features of a given place in Google Maps.", - "$ref": "#/components/schemas/PlaceAnswerSources" - }, - "uri": { - "description": "URI reference of the place.", - "type": "string" - }, - "title": { - "description": "Title of the place.", - "type": "string" - }, - "text": { - "description": "Text description of the place answer.", - "type": "string" - } - }, - "type": "object", - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place." - }, - "EmbedContentBatch": { - "description": "A resource representing a batch of `EmbedContent` requests.", - "type": "object", - "properties": { - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" - }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" - }, - "updateTime": { - "readOnly": true, - "type": "string", - "description": "Output only. The time at which the batch was last updated.", - "format": "google-datetime" - }, - "state": { - "description": "Output only. The state of the batch.", - "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ], - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ], - "readOnly": true, - "type": "string" - }, - "endTime": { - "description": "Output only. The time at which the batch processing completed.", - "format": "google-datetime", - "readOnly": true, - "type": "string" - }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/EmbedContentBatchStats", - "readOnly": true - }, - "displayName": { - "description": "Required. The user-defined name of this batch.", - "type": "string" - }, - "name": { - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "readOnly": true, - "type": "string" - }, - "createTime": { - "readOnly": true, - "type": "string", - "description": "Output only. The time at which the batch was created.", - "format": "google-datetime" - }, - "output": { - "readOnly": true, - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/EmbedContentBatchOutput" - }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "format": "int64", - "type": "string" - } - } - }, - "File": { - "description": "A file uploaded to the API. Next ID: 15", - "type": "object", - "properties": { - "sha256Hash": { - "readOnly": true, - "type": "string", - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "format": "byte" - }, - "state": { - "readOnly": true, - "type": "string", - "description": "Output only. Processing state of the File.", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "File is being processed and cannot be used for inference yet.", - "File is processed and available for inference.", - "File failed processing." - ], - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ] - }, - "updateTime": { - "readOnly": true, - "type": "string", - "description": "Output only. The timestamp of when the `File` was last updated.", - "format": "google-datetime" - }, - "uri": { - "readOnly": true, - "type": "string", - "description": "Output only. The uri of the `File`." - }, - "downloadUri": { - "description": "Output only. The download uri of the `File`.", - "readOnly": true, - "type": "string" - }, - "sizeBytes": { - "description": "Output only. Size of the file in bytes.", - "format": "int64", - "readOnly": true, - "type": "string" - }, - "error": { - "readOnly": true, - "description": "Output only. Error status if File processing failed.", - "$ref": "#/components/schemas/Status" - }, - "mimeType": { - "readOnly": true, - "type": "string", - "description": "Output only. MIME type of the file." - }, - "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." - ], - "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" - ], - "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`", - "type": "string" - }, - "createTime": { - "description": "Output only. The timestamp of when the `File` was created.", - "format": "google-datetime", - "readOnly": true, - "type": "string" - }, - "videoMetadata": { - "description": "Output only. Metadata for a video.", - "$ref": "#/components/schemas/VideoFileMetadata", - "readOnly": true - }, - "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" - }, - "expirationTime": { - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", - "format": "google-datetime", - "readOnly": true, - "type": "string" - } - } - }, - "GenerationConfig": { - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", - "type": "object", - "properties": { - "temperature": { - "type": "number", - "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" - }, - "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" - }, - "seed": { - "type": "integer", - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", - "format": "int32" - }, - "topP": { - "type": "number", - "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.", - "format": "float" - }, - "frequencyPenalty": { - "type": "number", - "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.", - "format": "float" - }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" - }, - "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" - } - }, - "candidateCount": { - "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", - "format": "int32", - "type": "integer" - }, - "maxOutputTokens": { - "type": "integer", - "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" - }, - "topK": { - "type": "integer", - "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.", - "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" - }, - "responseFormat": { - "description": "Optional. Configuration for the response output format. Allows specifying output configuration per modality (text, audio, image) in a flat structure.", - "$ref": "#/components/schemas/ResponseFormatConfig" - }, - "presencePenalty": { - "type": "number", - "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", - "format": "float" - }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" - }, - "translationConfig": { - "description": "Optional. Config for translation.", - "$ref": "#/components/schemas/TranslationConfig" - }, - "logprobs": { - "type": "integer", - "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", - "format": "int32" - }, - "responseSchema": { - "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", - "$ref": "#/components/schemas/Schema" - }, - "responseLogprobs": { - "description": "Optional. If true, export the logprobs results in response.", - "type": "boolean" - }, - "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.", - "$ref": "#/components/schemas/ImageConfig" - }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." - }, - "responseModalities": { - "type": "array", - "items": { - "x-enum-descriptions": [ - "Default value.", - "Indicates the model should return text.", - "Indicates the model should return images.", - "Indicates the model should return audio.", - "Indicates the model should return video." - ], - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "AUDIO", - "VIDEO" - ], - "type": "string" - }, - "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text." - }, - "mediaResolution": { - "type": "string", - "description": "Optional. If specified, the media resolution specified will be used.", - "x-enum-descriptions": [ - "Media resolution has not been set.", - "Media resolution set to low (64 tokens).", - "Media resolution set to medium (256 tokens).", - "Media resolution set to high (zoomed reframing with 256 tokens)." - ], - "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ] - } - } - }, - "InlinedEmbedContentRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", - "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" - } + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object" } }, "type": "object" }, - "ListPermissionsResponse": { + "InlinedEmbedContentResponse": { "type": "object", + "description": "The response to a single request in the batch.", "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" + "metadata": { + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object", + "description": "Output only. The metadata associated with the request.", + "readOnly": true }, - "permissions": { - "description": "Returned permissions.", + "error": { + "description": "Output only. The error encountered while processing the request.", + "readOnly": true, + "$ref": "#/components/schemas/Status" + }, + "response": { + "description": "Output only. The response to the request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentResponse" + } + } + }, + "StringList": { + "type": "object", + "description": "User provided string values assigned to a single metadata key.", + "properties": { + "values": { "type": "array", "items": { - "$ref": "#/components/schemas/Permission" - } + "type": "string" + }, + "description": "The string values of the metadata to store." } - }, - "description": "Response from `ListPermissions` containing a paginated list of permissions." + } }, - "GenerateContentRequest": { + "PrebuiltVoiceConfig": { "type": "object", + "description": "The configuration for the prebuilt speaker to use.", "properties": { - "toolConfig": { - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", - "$ref": "#/components/schemas/ToolConfig" + "voiceName": { + "type": "string", + "description": "The name of the preset voice to use." + } + } + }, + "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.", + "properties": { + "name": { + "type": "string", + "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." }, - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" + "responseJsonSchema": { + "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." }, - "serviceTier": { - "description": "Optional. The service tier of the request.", + "parametersJsonSchema": { + "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." + }, + "response": { + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", + "$ref": "#/components/schemas/Schema" + }, + "behavior": { + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." + "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." ], "enum": [ - "unspecified", - "standard", - "flex", - "priority" + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" ], "type": "string" }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" - }, - "contents": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Content" - }, - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request." - }, - "tools": { - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" - } - }, - "cachedContent": { - "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", - "type": "string" - }, - "store": { - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", - "type": "boolean" - }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" + "parameters": { + "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", + "$ref": "#/components/schemas/Schema" }, - "safetySettings": { - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetySetting" - }, - "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications." + "description": { + "type": "string", + "description": "Required. A brief description of the function." } }, - "description": "Request to generate a completion from the model." + "type": "object" }, - "VideoFileMetadata": { + "ImageConfig": { "type": "object", + "description": "Config for image generation features.", "properties": { - "videoDuration": { - "type": "string", - "description": "Duration of the video.", - "format": "google-duration" + "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" + }, + "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" } - }, - "description": "Metadata for a video `File`." + } }, - "RegisterFilesRequest": { - "description": "Request for `RegisterFiles`.", + "ListCachedContentsResponse": { + "description": "Response with CachedContents list.", "properties": { - "uris": { - "type": "array", + "cachedContents": { "items": { - "type": "string" + "$ref": "#/components/schemas/CachedContent" }, - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`." + "type": "array", + "description": "List of cached contents." + }, + "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" }, - "UploadToFileSearchStoreRequest": { - "description": "Request for `UploadToFileSearchStore`.", + "ImageResponseFormat": { + "description": "Configuration for image output format.", "properties": { - "displayName": { - "description": "Optional. Display name of the created document.", + "mimeType": { + "description": "Optional. The MIME type of the image output.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "JPEG image format." + ], + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "IMAGE_JPEG" + ], "type": "string" }, - "customMetadata": { - "type": "array", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the data." + "delivery": { + "description": "Optional. The delivery mode for the image output.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Image data is returned inline in the response.", + "Image data is returned as a URI." + ], + "enum": [ + "DELIVERY_UNSPECIFIED", + "INLINE", + "URI" + ], + "type": "string" }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "aspectRatio": { + "type": "string", + "description": "Optional. The aspect ratio for the image output.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "1:1 aspect ratio.", + "2:3 aspect ratio.", + "3:2 aspect ratio.", + "3:4 aspect ratio.", + "4:3 aspect ratio.", + "4:5 aspect ratio.", + "5:4 aspect ratio.", + "9:16 aspect ratio.", + "16:9 aspect ratio.", + "21:9 aspect ratio.", + "1:8 aspect ratio.", + "8:1 aspect ratio.", + "1:4 aspect ratio.", + "4:1 aspect ratio." + ], + "enum": [ + "ASPECT_RATIO_UNSPECIFIED", + "ASPECT_RATIO_ONE_BY_ONE", + "ASPECT_RATIO_TWO_BY_THREE", + "ASPECT_RATIO_THREE_BY_TWO", + "ASPECT_RATIO_THREE_BY_FOUR", + "ASPECT_RATIO_FOUR_BY_THREE", + "ASPECT_RATIO_FOUR_BY_FIVE", + "ASPECT_RATIO_FIVE_BY_FOUR", + "ASPECT_RATIO_NINE_BY_SIXTEEN", + "ASPECT_RATIO_SIXTEEN_BY_NINE", + "ASPECT_RATIO_TWENTY_ONE_BY_NINE", + "ASPECT_RATIO_ONE_BY_EIGHT", + "ASPECT_RATIO_EIGHT_BY_ONE", + "ASPECT_RATIO_ONE_BY_FOUR", + "ASPECT_RATIO_FOUR_BY_ONE" + ] + }, + "imageSize": { + "type": "string", + "description": "Optional. The size of the image output.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "512px image size.", + "1K image size.", + "2K image size.", + "4K image size." + ], + "enum": [ + "IMAGE_SIZE_UNSPECIFIED", + "IMAGE_SIZE_FIVE_TWELVE", + "IMAGE_SIZE_ONE_K", + "IMAGE_SIZE_TWO_K", + "IMAGE_SIZE_FOUR_K" + ] + } + }, + "type": "object" + }, + "BatchEmbedContentsResponse": { + "description": "The response to a `BatchEmbedContentsRequest`.", + "properties": { + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbeddingUsageMetadata" }, - "mimeType": { - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", - "type": "string" + "embeddings": { + "items": { + "$ref": "#/components/schemas/ContentEmbedding" + }, + "type": "array", + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", + "readOnly": true } }, "type": "object" }, - "Hyperparameters": { - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "EmbeddingUsageMetadata": { "type": "object", + "description": "Metadata on the usage of the embedding request.", "properties": { - "learningRate": { - "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", - "format": "float", - "type": "number" - }, - "learningRateMultiplier": { - "type": "number", - "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.", - "format": "float" - }, - "batchSize": { + "promptTokenCount": { "type": "integer", - "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.", - "format": "int32" + "format": "int32", + "description": "Output only. Number of tokens in the prompt.", + "readOnly": true }, - "epochCount": { - "type": "integer", - "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.", - "format": "int32" - } - } - }, - "ImageSearch": { - "type": "object", - "properties": {}, - "description": "Image search for grounding and related configurations." - }, - "InlinedEmbedContentResponses": { - "description": "The responses to the requests in the batch.", - "type": "object", - "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", - "readOnly": true, + "promptTokenDetails": { "type": "array", "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" - } + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input.", + "readOnly": true } } }, - "ListModelsResponse": { - "type": "object", + "ComputerUse": { + "description": "Computer Use tool type.", "properties": { - "models": { - "description": "The returned Models.", + "environment": { + "type": "string", + "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." + ], + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER", + "ENVIRONMENT_MOBILE", + "ENVIRONMENT_DESKTOP" + ] + }, + "enablePromptInjectionDetection": { + "type": "boolean", + "description": "Optional. Whether enable the prompt injection detection check on computer-use request." + }, + "disabledSafetyPolicies": { + "description": "Optional. Disabled safety policies for computer use.", "type": "array", "items": { - "$ref": "#/components/schemas/Model" + "type": "string", + "x-enum-descriptions": [ + "Unspecified safety policy.", + "Safety policy for financial transactions.", + "Safety policy for sensitive data modification.", + "Safety policy for communication tools (e.g. Gmail, Chat, Meet).", + "Safety policy for account creation.", + "Safety policy for data modification.", + "Safety policy for user consent management.", + "Safety policy for legal terms and agreements." + ], + "enum": [ + "SAFETY_POLICY_UNSPECIFIED", + "FINANCIAL_TRANSACTIONS", + "SENSITIVE_DATA_MODIFICATION", + "COMMUNICATION_TOOL", + "ACCOUNT_CREATION", + "DATA_MODIFICATION", + "USER_CONSENT_MANAGEMENT", + "LEGAL_TERMS_AND_AGREEMENTS" + ] } }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + "excludedPredefinedFunctions": { + "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", + "items": { + "type": "string" + }, + "type": "array" } }, - "description": "Response from `ListModel` containing a paginated list of Models." + "type": "object" }, - "Schema": { + "GenerateContentBatch": { + "description": "A resource representing a batch of `GenerateContent` requests.", "properties": { - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" - }, - "maxLength": { - "type": "string", - "description": "Optional. Maximum length of the Type.STRING", - "format": "int64" + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputConfig" }, - "maxProperties": { - "description": "Optional. Maximum number of the properties for Type.OBJECT.", - "format": "int64", + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" }, - "title": { - "description": "Optional. The title of the schema.", - "type": "string" + "output": { + "description": "Output only. The output of the batch request.", + "readOnly": true, + "$ref": "#/components/schemas/GenerateContentBatchOutput" }, - "maxItems": { - "description": "Optional. Maximum number of the elements for Type.ARRAY.", - "format": "int64", - "type": "string" + "batchStats": { + "description": "Output only. Stats about the batch.", + "readOnly": true, + "$ref": "#/components/schemas/BatchStats" }, - "maximum": { - "type": "number", - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "format": "double" + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" }, - "minLength": { + "priority": { + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", "type": "string", - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", "format": "int64" }, - "properties": { - "description": "Optional. Properties of Type.OBJECT.", - "additionalProperties": { - "$ref": "#/components/schemas/Schema" - }, - "type": "object" - }, - "minProperties": { + "updateTime": { "type": "string", - "description": "Optional. Minimum number of the properties for Type.OBJECT.", - "format": "int64" - }, - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", - "type": "string" + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated.", + "readOnly": true }, - "anyOf": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Schema" - }, - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list." + "name": { + "type": "string", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "readOnly": true }, - "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." + "endTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch processing completed.", + "readOnly": true }, - "required": { - "description": "Optional. Required properties of Type.OBJECT.", - "type": "array", - "items": { - "type": "string" - } + "createTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch was created.", + "readOnly": true }, - "type": { - "description": "Required. Data type.", + "state": { + "description": "Output only. The state of the batch.", "x-enum-descriptions": [ - "Not specified, should not be used.", - "String type.", - "Number type.", - "Integer type.", - "Boolean type.", - "Array type.", - "Object type.", - "Null type." + "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." ], "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" ], - "type": "string" - }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." - }, - "propertyOrdering": { - "type": "array", - "items": { - "type": "string" - }, - "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." - }, - "minimum": { - "type": "number", - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", - "format": "double" - }, - "format": { - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", - "type": "string" - }, - "nullable": { - "description": "Optional. Indicates if the value may be null.", - "type": "boolean" - }, - "minItems": { "type": "string", - "description": "Optional. Minimum number of the elements for Type.ARRAY.", - "format": "int64" + "readOnly": true + } + }, + "type": "object" + }, + "FileData": { + "description": "URI based data.", + "properties": { + "fileUri": { + "description": "Required. URI.", + "type": "string" }, - "description": { - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", + "type": "string" + } + }, + "type": "object" + }, + "Web": { + "description": "Chunk from the web.", + "properties": { + "uri": { + "description": "Output only. URI reference of the chunk.", + "readOnly": true, "type": "string" }, - "enum": { - "type": "array", - "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\"]}" + "title": { + "description": "Output only. Title of the chunk.", + "readOnly": true, + "type": "string" } }, + "type": "object" + }, + "SpeakerVoiceConfig": { "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)." + "description": "The configuration for a single speaker in a multi speaker setup.", + "properties": { + "speaker": { + "type": "string", + "description": "Required. The name of the speaker to use. Should be the same as in the prompt." + }, + "voiceConfig": { + "description": "Required. The configuration for the voice to use.", + "$ref": "#/components/schemas/VoiceConfig" + } + } }, - "LogprobsResultCandidate": { - "description": "Candidate for the logprobs token and score.", + "ListModelsResponse": { + "description": "Response from `ListModel` containing a paginated list of Models.", "properties": { - "tokenId": { - "type": "integer", - "description": "The candidate\u2019s token id value.", - "format": "int32" + "models": { + "description": "The returned Models.", + "items": { + "$ref": "#/components/schemas/Model" + }, + "type": "array" }, - "token": { - "description": "The candidate\u2019s token string value.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" + } + }, + "type": "object" + }, + "SearchTypes": { + "description": "Different types of search that can be enabled on the GoogleSearch tool.", + "properties": { + "imageSearch": { + "description": "Optional. Enables image search. Image bytes are returned.", + "$ref": "#/components/schemas/ImageSearch" }, - "logProbability": { - "type": "number", - "description": "The candidate's log probability.", - "format": "float" + "webSearch": { + "description": "Optional. Enables web search. Only text results are returned.", + "$ref": "#/components/schemas/WebSearch" } }, "type": "object" }, - "GroundingAttribution": { + "LogprobsResult": { + "description": "Logprobs Result", "properties": { - "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" + "logProbabilitySum": { + "type": "number", + "format": "float", + "description": "Sum of log probabilities for all tokens." }, - "sourceId": { - "description": "Output only. Identifier for the source contributing to this attribution.", - "$ref": "#/components/schemas/AttributionSourceId", - "readOnly": true + "chosenCandidates": { + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + }, + "type": "array" + }, + "topCandidates": { + "description": "Length = total number of decoding steps.", + "type": "array", + "items": { + "$ref": "#/components/schemas/TopCandidates" + } } }, - "type": "object", - "description": "Attribution for a source that contributed to an answer." + "type": "object" }, - "GenerateContentBatchOutput": { + "ToolConfig": { + "type": "object", + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", "properties": { - "responsesFile": { - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "readOnly": true, - "type": "string" + "retrievalConfig": { + "description": "Optional. Retrieval config.", + "$ref": "#/components/schemas/RetrievalConfig" }, - "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.", - "$ref": "#/components/schemas/InlinedResponses" + "includeServerSideToolInvocations": { + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", + "type": "boolean" + }, + "functionCallingConfig": { + "description": "Optional. Function calling config.", + "$ref": "#/components/schemas/FunctionCallingConfig" + } + } + }, + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", + "properties": { + "speakerVoiceConfigs": { + "description": "Required. All the enabled speaker voices.", + "items": { + "$ref": "#/components/schemas/SpeakerVoiceConfig" + }, + "type": "array" } }, + "type": "object" + }, + "RegisterFilesRequest": { "type": "object", - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field." + "description": "Request for `RegisterFiles`.", + "properties": { + "uris": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`." + } + } }, - "FileSearchStore": { + "ListPermissionsResponse": { + "type": "object", + "description": "Response from `ListPermissions` containing a paginated list of permissions.", "properties": { - "updateTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", - "format": "google-datetime", - "readOnly": true, - "type": "string" - }, - "embeddingModel": { - "description": "Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used.", - "type": "string" + "permissions": { + "items": { + "$ref": "#/components/schemas/Permission" + }, + "type": "array", + "description": "Returned permissions." }, - "sizeBytes": { - "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", - "format": "int64", - "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" - }, + } + } + }, + "Corpus": { + "type": "object", + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", + "properties": { "displayName": { - "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", - "type": "string" - }, - "activeDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", - "format": "int64", - "readOnly": true, - "type": "string" - }, - "name": { - "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", - "readOnly": true, - "type": "string" + "type": "string", + "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\"" }, "createTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "type": "string", "format": "google-datetime", - "readOnly": true, - "type": "string" + "description": "Output only. The Timestamp of when the `Corpus` was created.", + "readOnly": true }, - "pendingDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", - "format": "int64", + "updateTime": { + "description": "Output only. The Timestamp of when the `Corpus` was last updated.", "readOnly": true, - "type": "string" + "type": "string", + "format": "google-datetime" }, - "failedDocumentsCount": { - "readOnly": true, + "name": { "type": "string", - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", - "format": "int64" + "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`", + "readOnly": true } - }, - "type": "object", - "description": "A `FileSearchStore` is a collection of `Document`s." + } }, - "Image": { - "description": "Chunk from image search.", - "type": "object", + "EmbedContentConfig": { + "description": "Configurations for the EmbedContent request.", "properties": { - "sourceUri": { - "description": "The web page URI for attribution.", - "type": "string" + "outputDimensionality": { + "type": "integer", + "format": "int32", + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end." }, - "domain": { - "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", - "type": "string" + "audioTrackExtraction": { + "type": "boolean", + "description": "Optional. Whether to extract audio from video content." }, - "imageUri": { - "description": "The image asset URL.", - "type": "string" + "documentOcr": { + "description": "Optional. Whether to enable OCR for document content.", + "type": "boolean" }, - "title": { - "description": "The title of the web page that the image is from.", - "type": "string" - } - } - }, - "CreateFileRequest": { - "type": "object", - "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" + "taskType": { + "type": "string", + "description": "Optional. The task type of the embedding.", + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ], + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ] + }, + "title": { + "description": "Optional. The title for the text.", + "type": "string" + }, + "autoTruncate": { + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", + "type": "boolean" } }, - "description": "Request for `CreateFile`." + "type": "object" }, - "PlaceAnswerSources": { - "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", + "Blob": { "type": "object", + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", "properties": { - "reviewSnippets": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ReviewSnippet" - }, - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps." + "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" + }, + "data": { + "type": "string", + "format": "byte", + "description": "Raw bytes for media formats." } } }, - "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).", + "TuningTask": { + "description": "Tuning tasks that create tuned models.", "properties": { - "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" + "hyperparameters": { + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", + "$ref": "#/components/schemas/Hyperparameters" }, - "details": { + "snapshots": { "type": "array", "items": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "type": "object" + "$ref": "#/components/schemas/TuningSnapshot" }, - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use." + "description": "Output only. Metrics collected during tuning.", + "readOnly": true }, - "code": { - "type": "integer", - "description": "The status code, which should be an enum value of google.rpc.Code.", - "format": "int32" + "trainingData": { + "description": "Required. Input only. Immutable. The model training data.", + "$ref": "#/components/schemas/Dataset" + }, + "completeTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when tuning this model completed.", + "readOnly": true + }, + "startTime": { + "description": "Output only. The timestamp when tuning this model started.", + "readOnly": true, + "type": "string", + "format": "google-datetime" } }, "type": "object" }, - "TopCandidates": { - "description": "Candidates with top log probabilities at each decoding step.", + "InlinedEmbedContentResponses": { + "description": "The responses to the requests in the batch.", "properties": { - "candidates": { - "type": "array", + "inlinedResponses": { "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" + "$ref": "#/components/schemas/InlinedEmbedContentResponse" }, - "description": "Sorted by log probability in descending order." + "type": "array", + "description": "Output only. The responses to the requests in the batch.", + "readOnly": true } }, "type": "object" }, - "CitationSource": { - "description": "A citation to a source for a portion of a specific response.", + "TuningSnapshot": { + "type": "object", + "description": "Record for a single tuning step.", "properties": { - "endIndex": { + "epoch": { + "description": "Output only. The epoch this step was part of.", + "readOnly": true, "type": "integer", - "description": "Optional. End of the attributed segment, exclusive.", "format": "int32" }, - "startIndex": { + "meanLoss": { + "type": "number", + "format": "float", + "description": "Output only. The mean loss of the training examples for this step.", + "readOnly": true + }, + "step": { + "description": "Output only. The tuning step.", + "readOnly": true, "type": "integer", - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", "format": "int32" }, - "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", + "computeTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when this metric was computed.", + "readOnly": true + } + } + }, + "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": { + "id": { + "description": "Optional. The identifier of the tool call this response is for.", "type": "string" }, - "license": { - "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", + "toolType": { + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], + "type": "string" + }, + "response": { + "description": "Optional. The tool response.", + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object" + } + }, + "type": "object" + }, + "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": { + "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" + }, + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." + }, + "maxItems": { + "description": "Optional. Maximum number of the elements for Type.ARRAY.", + "type": "string", + "format": "int64" + }, + "maxProperties": { + "description": "Optional. Maximum number of the properties for Type.OBJECT.", + "type": "string", + "format": "int64" + }, + "propertyOrdering": { + "items": { + "type": "string" + }, + "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." + }, + "title": { + "type": "string", + "description": "Optional. The title of the schema." + }, + "minItems": { + "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "type": "string", + "format": "int64" + }, + "pattern": { + "type": "string", + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression." + }, + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" + }, + "anyOf": { + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "items": { + "$ref": "#/components/schemas/Schema" + }, + "type": "array" + }, + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + "type": "string" + }, + "minLength": { + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "type": "string", + "format": "int64" + }, + "maxLength": { + "type": "string", + "format": "int64", + "description": "Optional. Maximum length of the Type.STRING" + }, + "nullable": { + "type": "boolean", + "description": "Optional. Indicates if the value may be null." + }, + "format": { + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", "type": "string" + }, + "minProperties": { + "type": "string", + "format": "int64", + "description": "Optional. Minimum number of the properties for Type.OBJECT." + }, + "default": { + "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." + }, + "properties": { + "type": "object", + "additionalProperties": { + "$ref": "#/components/schemas/Schema" + }, + "description": "Optional. Properties of Type.OBJECT." + }, + "required": { + "items": { + "type": "string" + }, + "type": "array", + "description": "Optional. Required properties of Type.OBJECT." + }, + "minimum": { + "type": "number", + "format": "double", + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER" + }, + "type": { + "type": "string", + "description": "Required. Data type.", + "x-enum-descriptions": [ + "Not specified, should not be used.", + "String type.", + "Number type.", + "Integer type.", + "Boolean type.", + "Array type.", + "Object type.", + "Null type." + ], + "enum": [ + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" + ] + }, + "maximum": { + "type": "number", + "format": "double", + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER" } - }, - "type": "object" + } }, - "InlinedResponse": { + "Operation": { + "description": "This resource represents a long-running operation that is the result of a network API call.", "properties": { "response": { - "readOnly": true, - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/GenerateContentResponse" - }, - "metadata": { - "description": "Output only. The metadata associated with the request.", + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "type": "object", "additionalProperties": { - "description": "Properties of the object." - }, - "readOnly": true, - "type": "object" + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" }, "error": { - "readOnly": true, - "description": "Output only. The error encountered while processing the request.", + "description": "The error result of the operation in case of failure or cancellation.", "$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" + }, + "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." + } } }, - "type": "object", - "description": "The response to a single request in the batch." + "type": "object" }, - "Interval": { + "TransferOwnershipRequest": { + "type": "object", + "description": "Request to transfer the ownership of the tuned model.", "properties": { - "endTime": { - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", - "format": "google-datetime", - "type": "string" - }, - "startTime": { + "emailAddress": { "type": "string", - "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" + "description": "Required. The email address of the user to whom the tuned model is being transferred to." } - }, - "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." + } }, - "VideoMetadata": { + "InputEmbedContentConfig": { + "type": "object", + "description": "Configures the input to the batch request.", "properties": { - "startOffset": { - "type": "string", - "description": "Optional. The start offset of the video.", - "format": "google-duration" - }, - "fps": { - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", - "format": "double", - "type": "number" - }, - "endOffset": { - "description": "Optional. The end offset of the video.", - "format": "google-duration", + "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" } - }, - "deprecated": true, - "type": "object", - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content." + } }, - "WhiteSpaceConfig": { + "FunctionResponseBlob": { + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", "properties": { - "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" + "mimeType": { + "type": "string", + "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)." }, - "maxOverlapTokens": { - "description": "Maximum number of overlapping tokens between two adjacent chunks.", - "format": "int32", - "type": "integer" + "data": { + "type": "string", + "format": "byte", + "description": "Raw bytes for media formats." } }, - "type": "object", - "description": "Configuration for a white space chunking algorithm [white space delimited]." + "type": "object" }, - "PrebuiltVoiceConfig": { + "AsyncBatchEmbedContentRequest": { + "description": "Request for an `AsyncBatchEmbedContent` operation.", "properties": { - "voiceName": { - "description": "The name of the preset voice to use.", - "type": "string" + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/EmbedContentBatch" } }, - "type": "object", - "description": "The configuration for the prebuilt speaker to use." + "type": "object" }, - "ListTunedModelsResponse": { + "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": { - "tunedModels": { - "description": "The returned Models.", - "type": "array", - "items": { - "$ref": "#/components/schemas/TunedModel" - } + "startTime": { + "type": "string", + "format": "google-datetime", + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start." }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + "endTime": { + "type": "string", + "format": "google-datetime", + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end." } - }, - "description": "Response from `ListTunedModels` containing a paginated list of Models." + } }, - "EmbedContentResponse": { - "description": "The response to an `EmbedContentRequest`.", + "Hyperparameters": { + "type": "object", + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", "properties": { - "embedding": { - "readOnly": true, - "description": "Output only. The embedding generated from the input content.", - "$ref": "#/components/schemas/ContentEmbedding" + "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" }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata", - "readOnly": true - } - }, - "type": "object" - }, - "MultiSpeakerVoiceConfig": { - "description": "The configuration for the multi-speaker setup.", - "properties": { - "speakerVoiceConfigs": { - "type": "array", - "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" - }, - "description": "Required. All the enabled speaker voices." + "epochCount": { + "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used.", + "type": "integer", + "format": "int32" + }, + "batchSize": { + "type": "integer", + "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." + }, + "learningRate": { + "type": "number", + "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": "object" + } }, - "BatchGenerateContentRequest": { - "description": "Request for a `BatchGenerateContent` operation.", + "LogprobsResultCandidate": { + "type": "object", + "description": "Candidate for the logprobs token and score.", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/GenerateContentBatch" + "token": { + "type": "string", + "description": "The candidate\u2019s token string value." + }, + "tokenId": { + "type": "integer", + "format": "int32", + "description": "The candidate\u2019s token id value." + }, + "logProbability": { + "description": "The candidate's log probability.", + "type": "number", + "format": "float" } - }, - "type": "object" + } }, - "CodeExecutionResult": { + "SafetySetting": { + "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": { - "id": { - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", - "type": "string" - }, - "outcome": { - "description": "Required. Outcome of the code execution.", + "category": { + "type": "string", + "description": "Required. The category for this setting.", "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." + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ], + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true ], "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" + "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" + ] + }, + "threshold": { + "description": "Required. Controls the probability threshold at which harm is blocked.", + "x-enum-descriptions": [ + "Threshold is unspecified.", + "Content with NEGLIGIBLE will be allowed.", + "Content with NEGLIGIBLE and LOW will be allowed.", + "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", + "All content will be allowed.", + "Turn off the safety filter." + ], + "enum": [ + "HARM_BLOCK_THRESHOLD_UNSPECIFIED", + "BLOCK_LOW_AND_ABOVE", + "BLOCK_MEDIUM_AND_ABOVE", + "BLOCK_ONLY_HIGH", + "BLOCK_NONE", + "OFF" ], "type": "string" - }, - "output": { - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", - "type": "string" - } - }, - "type": "object", - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used." - }, - "CreateFileResponse": { - "description": "Response for `CreateFile`.", - "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" } - }, - "type": "object" + } }, - "SearchTypes": { - "description": "Different types of search that can be enabled on the GoogleSearch tool.", + "Dataset": { + "type": "object", + "description": "Dataset for training or validation.", "properties": { - "imageSearch": { - "description": "Optional. Enables image search. Image bytes are returned.", - "$ref": "#/components/schemas/ImageSearch" - }, - "webSearch": { - "description": "Optional. Enables web search. Only text results are returned.", - "$ref": "#/components/schemas/WebSearch" + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" } - }, - "type": "object" - }, - "CodeExecution": { - "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", - "properties": {}, - "type": "object" + } }, - "Operation": { - "type": "object", + "GroundingMetadata": { + "description": "Metadata returned to client when grounding is enabled.", "properties": { - "response": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." + "webSearchQueries": { + "description": "Web search queries for the following-up web search.", + "items": { + "type": "string" }, - "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": { - "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.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "type": "array" }, - "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" + "searchEntryPoint": { + "description": "Optional. Google search entry for the following-up web searches.", + "$ref": "#/components/schemas/SearchEntryPoint" }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" - } - }, - "description": "This resource represents a long-running operation that is the result of a network API call." - }, - "TuningTask": { - "description": "Tuning tasks that create tuned models.", - "type": "object", - "properties": { - "startTime": { - "description": "Output only. The timestamp when tuning this model started.", - "format": "google-datetime", - "readOnly": true, - "type": "string" + "groundingChunks": { + "type": "array", + "items": { + "$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." }, - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" + "imageSearchQueries": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Image search queries used for grounding." }, - "hyperparameters": { - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", - "$ref": "#/components/schemas/Hyperparameters" + "groundingSupports": { + "description": "List of grounding support.", + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + }, + "type": "array" }, - "completeTime": { - "description": "Output only. The timestamp when tuning this model completed.", - "format": "google-datetime", - "readOnly": true, - "type": "string" + "googleMapsWidgetContextToken": { + "type": "string", + "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled." }, - "snapshots": { - "description": "Output only. Metrics collected during tuning.", - "readOnly": true, - "type": "array", - "items": { - "$ref": "#/components/schemas/TuningSnapshot" - } + "retrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "$ref": "#/components/schemas/RetrievalMetadata" } - } + }, + "type": "object" }, - "FunctionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "CreateFileResponse": { + "description": "Response for `CreateFile`.", "properties": { - "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", - "type": "string" - }, - "args": { - "description": "Optional. The function parameters and values in JSON object format.", - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" - }, - "id": { - "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", - "type": "string" + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" } }, "type": "object" }, - "BatchEmbedContentsResponse": { - "description": "The response to a `BatchEmbedContentsRequest`.", + "GroundingPassageId": { "type": "object", + "description": "Identifier for a part within a `GroundingPassage`.", "properties": { - "embeddings": { - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", + "passageId": { + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", "readOnly": true, - "type": "array", - "items": { - "$ref": "#/components/schemas/ContentEmbedding" - } + "type": "string" }, - "usageMetadata": { - "readOnly": true, - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata" + "partIndex": { + "type": "integer", + "format": "int32", + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", + "readOnly": true } } }, - "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", + "GoogleAiGenerativelanguageV1betaSegment": { + "type": "object", + "description": "Segment of the content.", "properties": { - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "type": "integer", + "format": "int32" }, - "name": { - "description": "The name of the MCPServer.", + "startIndex": { + "type": "integer", + "format": "int32", + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero." + }, + "endIndex": { + "type": "integer", + "format": "int32", + "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero." + }, + "text": { + "description": "The text corresponding to the segment from the response.", "type": "string" } - }, - "type": "object" + } }, - "EmbedContentConfig": { - "description": "Configurations for the EmbedContent request.", + "EmbedContentRequest": { + "description": "Request containing the `Content` for the model to embed.", "properties": { "taskType": { - "description": "Optional. The task type of the embedding.", + "type": "string", + "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", + "deprecated": true, "x-enum-descriptions": [ "Unset value, which will default to one of the other enum values.", "Specifies the given text is a query in a search/retrieval setting.", @@ -5640,1291 +5531,1400 @@ "QUESTION_ANSWERING", "FACT_VERIFICATION", "CODE_RETRIEVAL_QUERY" - ], - "type": "string" + ] + }, + "embedContentConfig": { + "description": "Optional. Configuration for the EmbedContent request.", + "$ref": "#/components/schemas/EmbedContentConfig" }, "title": { - "description": "Optional. The title for the text.", - "type": "string" + "type": "string", + "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.", + "deprecated": true }, - "audioTrackExtraction": { - "description": "Optional. Whether to extract audio from video content.", - "type": "boolean" + "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" }, "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, "type": "integer", - "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", "format": "int32" }, - "documentOcr": { - "description": "Optional. Whether to enable OCR for document content.", - "type": "boolean" - }, - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", - "type": "boolean" + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" } }, "type": "object" }, - "ListCorporaResponse": { + "BatchEmbedContentsRequest": { + "description": "Batch request to get embeddings from the model for a list of prompts.", "properties": { - "corpora": { + "requests": { "type": "array", "items": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/EmbedContentRequest" }, - "description": "The returned corpora." - }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`." } }, - "type": "object", - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`." + "type": "object" }, - "FileData": { - "description": "URI based data.", - "type": "object", + "GoogleSearch": { + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", "properties": { - "mimeType": { - "description": "Optional. The IANA standard MIME type of the source data.", - "type": "string" + "searchTypes": { + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", + "$ref": "#/components/schemas/SearchTypes" }, - "fileUri": { - "description": "Required. URI.", - "type": "string" + "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).", + "$ref": "#/components/schemas/Interval" } - } + }, + "type": "object" }, "TuningExample": { - "type": "object", + "description": "A single example for tuning.", "properties": { "textInput": { - "description": "Optional. Text model input.", - "type": "string" + "type": "string", + "description": "Optional. Text model input." }, "output": { - "description": "Required. The expected model output.", - "type": "string" + "type": "string", + "description": "Required. The expected model output." } }, - "description": "A single example for tuning." + "type": "object" }, - "GoogleSearch": { + "GroundingAttribution": { "type": "object", + "description": "Attribution for a source that contributed to an answer.", "properties": { - "timeRangeFilter": { - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", - "$ref": "#/components/schemas/Interval" + "sourceId": { + "description": "Output only. Identifier for the source contributing to this attribution.", + "readOnly": true, + "$ref": "#/components/schemas/AttributionSourceId" }, - "searchTypes": { - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", - "$ref": "#/components/schemas/SearchTypes" + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" } - }, - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." + } }, - "CitationMetadata": { - "type": "object", + "ListFilesResponse": { + "description": "Response for `ListFiles`.", "properties": { - "citationSources": { - "description": "Citations to sources for a specific response.", - "type": "array", + "files": { "items": { - "$ref": "#/components/schemas/CitationSource" - } + "$ref": "#/components/schemas/File" + }, + "type": "array", + "description": "The list of `File`s." + }, + "nextPageToken": { + "type": "string", + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call." } }, - "description": "A collection of source attributions for a piece of content." + "type": "object" }, - "GoogleAiGenerativelanguageV1betaSegment": { - "description": "Segment of the content.", + "CustomMetadata": { "type": "object", + "description": "User provided metadata stored as key-value pairs.", "properties": { - "partIndex": { - "description": "The index of a Part object within its parent Content object.", - "format": "int32", - "type": "integer" + "numericValue": { + "description": "The numeric value of the metadata to store.", + "type": "number", + "format": "float" }, - "endIndex": { - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", - "format": "int32", - "type": "integer" + "key": { + "description": "Required. The key of the metadata to store.", + "type": "string" }, - "text": { - "description": "The text corresponding to the segment from the response.", + "stringValue": { + "description": "The string value of the metadata to store.", "type": "string" }, - "startIndex": { - "type": "integer", - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", - "format": "int32" + "stringListValue": { + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" } } }, - "GroundingChunk": { + "GoogleSearchRetrieval": { + "description": "Tool to retrieve public web data for grounding, powered by Google.", "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.", - "$ref": "#/components/schemas/Maps" - }, - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" + "dynamicRetrievalConfig": { + "description": "Specifies the dynamic retrieval configuration for the given source.", + "$ref": "#/components/schemas/DynamicRetrievalConfig" } }, - "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." + "type": "object" }, "TranslationConfig": { "type": "object", + "description": "Config for translation 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" + "type": "boolean", + "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." }, "targetLanguageCode": { "description": "Required. The target language for translation. Supported values are BCP-47 language codes (e.g. \"en\", \"es\", \"fr\").", "type": "string" } - }, - "description": "Config for translation features." - }, - "CachedContentUsageMetadata": { - "description": "Metadata on the usage of the cached content.", - "type": "object", - "properties": { - "totalTokenCount": { - "description": "Total number of tokens that the cached content consumes.", - "format": "int32", - "type": "integer" - } } }, - "Empty": { + "ImageSearch": { + "description": "Image search for grounding and related configurations.", "properties": {}, - "type": "object", - "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" }, - "Content": { + "UploadToFileSearchStoreRequest": { "type": "object", + "description": "Request for `UploadToFileSearchStore`.", "properties": { - "parts": { + "displayName": { + "type": "string", + "description": "Optional. Display name of the created document." + }, + "customMetadata": { "type": "array", "items": { - "$ref": "#/components/schemas/Part" + "$ref": "#/components/schemas/CustomMetadata" }, - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types." + "description": "Custom metadata to be associated with the data." }, - "role": { - "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" + }, + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", "type": "string" } - }, - "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." + } }, - "ListDocumentsResponse": { + "InlinedRequests": { + "type": "object", + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" - }, - "documents": { - "type": "array", + "requests": { + "description": "Required. The requests to be processed in the batch.", "items": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/InlinedRequest" }, - "description": "The returned `Document`s." + "type": "array" } - }, + } + }, + "UrlContext": { + "description": "Tool to support URL context retrieval.", + "properties": {}, + "type": "object" + }, + "SemanticRetrieverChunk": { "type": "object", - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`." + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", + "properties": { + "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" + }, + "chunk": { + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "readOnly": true, + "type": "string" + } + } }, - "TunedModelSource": { - "description": "Tuned model as a source for training a new model.", + "File": { + "description": "A file uploaded to the API. Next ID: 15", "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`", + "downloadUri": { + "type": "string", + "description": "Output only. The download uri of the `File`.", + "readOnly": true + }, + "error": { + "description": "Output only. Error status if File processing failed.", + "readOnly": true, + "$ref": "#/components/schemas/Status" + }, + "mimeType": { + "type": "string", + "description": "Output only. MIME type of the file.", + "readOnly": true + }, + "state": { + "description": "Output only. Processing state of the File.", + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "File is being processed and cannot be used for inference yet.", + "File is processed and available for inference.", + "File failed processing." + ], + "enum": [ + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" + ], + "readOnly": true, + "type": "string" + }, + "displayName": { + "type": "string", + "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: \"Welcome Image\"" + }, + "source": { + "type": "string", + "description": "Source of the File.", + "x-enum-descriptions": [ + "Used if source is not specified.", + "Indicates the file is uploaded by the user.", + "Indicates the file is generated by Google.", + "Indicates the file is a registered, i.e. a Google Cloud Storage file." + ], + "enum": [ + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" + ] + }, + "expirationTime": { + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "videoMetadata": { + "description": "Output only. Metadata for a video.", + "readOnly": true, + "$ref": "#/components/schemas/VideoFileMetadata" + }, + "createTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` was created.", + "readOnly": true + }, + "sizeBytes": { + "description": "Output only. Size of the file in bytes.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "name": { + "type": "string", + "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`" + }, + "uri": { + "description": "Output only. The uri of the `File`.", + "readOnly": true, "type": "string" }, - "baseModel": { + "sha256Hash": { + "type": "string", + "format": "byte", + "description": "Output only. SHA-256 hash of the uploaded bytes.", + "readOnly": true + }, + "updateTime": { + "description": "Output only. The timestamp of when the `File` was last updated.", "readOnly": true, "type": "string", - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`" - } - }, - "type": "object" - }, - "VoiceConfig": { - "description": "The configuration for the voice to use.", - "properties": { - "prebuiltVoiceConfig": { - "description": "The configuration for the prebuilt voice to use.", - "$ref": "#/components/schemas/PrebuiltVoiceConfig" - } - }, - "type": "object" - }, - "AsyncBatchEmbedContentRequest": { - "type": "object", - "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" - } - }, - "description": "Request for an `AsyncBatchEmbedContent` operation." - }, - "GoogleMaps": { - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", - "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" + "format": "google-datetime" } }, "type": "object" }, - "SpeechConfig": { - "description": "Config for speech generation and transcription.", + "EmbedContentBatch": { "type": "object", + "description": "A resource representing a batch of `EmbedContent` requests.", "properties": { - "voiceConfig": { - "description": "The configuration in case of single-voice output.", - "$ref": "#/components/schemas/VoiceConfig" - }, - "languageCode": { - "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", - "type": "string" + "updateTime": { + "description": "Output only. The time at which the batch was last updated.", + "readOnly": true, + "type": "string", + "format": "google-datetime" }, - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" - } - } - }, - "InputConfig": { - "type": "object", - "properties": { - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedRequests" + "priority": { + "type": "string", + "format": "int64", + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0." }, - "fileName": { - "description": "The name of the `File` containing the input requests.", + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" - } - }, - "description": "Configures the input to the batch request." - }, - "GroundingMetadata": { - "type": "object", - "properties": { - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" }, - "webSearchQueries": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Web search queries for the following-up web search." + "output": { + "description": "Output only. The output of the batch request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentBatchOutput" }, - "groundingSupports": { - "description": "List of grounding support.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" - } + "batchStats": { + "description": "Output only. Stats about the batch.", + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentBatchStats" }, - "imageSearchQueries": { - "description": "Image search queries used for grounding.", - "type": "array", - "items": { - "type": "string" - } + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" }, - "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" }, - "groundingChunks": { - "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GroundingChunk" - } + "state": { + "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." + ], + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ], + "readOnly": true, + "type": "string" }, - "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.", + "createTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch was created.", + "readOnly": true + }, + "name": { + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "readOnly": true, "type": "string" + }, + "endTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch processing completed.", + "readOnly": true } - }, - "description": "Metadata returned to client when grounding is enabled." + } }, - "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`.", + "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": { - "contents": { + "reviewSnippets": { "type": "array", "items": { - "$ref": "#/components/schemas/Content" + "$ref": "#/components/schemas/ReviewSnippet" }, - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set." - }, - "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.", - "$ref": "#/components/schemas/GenerateContentRequest" - } - }, - "type": "object" - }, - "WebSearch": { - "properties": {}, - "type": "object", - "description": "Standard web search for grounding and related configurations." - }, - "GroundingPassageId": { - "description": "Identifier for a part within a `GroundingPassage`.", - "type": "object", - "properties": { - "passageId": { - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", - "readOnly": true, - "type": "string" - }, - "partIndex": { - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", - "format": "int32", - "readOnly": true, - "type": "integer" + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps." } } }, - "ModalityTokenCount": { - "description": "Represents token counting info for a single modality.", + "Maps": { "type": "object", + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", "properties": { - "modality": { - "description": "The modality associated with this token count.", - "x-enum-descriptions": [ - "Unspecified modality.", - "Plain text.", - "Image.", - "Video.", - "Audio.", - "Document, e.g. PDF." - ], - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ], + "text": { + "type": "string", + "description": "Text description of the place answer." + }, + "title": { + "description": "Title of the place.", "type": "string" }, - "tokenCount": { - "description": "Number of tokens.", - "format": "int32", - "type": "integer" + "placeId": { + "type": "string", + "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place." + }, + "placeAnswerSources": { + "description": "Sources that provide answers about the features of a given place in Google Maps.", + "$ref": "#/components/schemas/PlaceAnswerSources" + }, + "uri": { + "description": "URI reference of the place.", + "type": "string" } } }, - "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.", - "$ref": "#/components/schemas/WhiteSpaceConfig" - } - }, - "type": "object" - }, - "InlinedRequests": { - "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedRequest" - } - } - }, - "type": "object", - "description": "The requests to be processed in the batch if provided as part of the batch creation request." - }, - "ListGeneratedFilesResponse": { + "RetrievedContext": { + "description": "Chunk from context retrieved by the file search tool.", "properties": { - "generatedFiles": { - "description": "The list of `GeneratedFile`s.", + "fileSearchStore": { + "type": "string", + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`" + }, + "pageNumber": { + "description": "Optional. Page number of the retrieved context, if applicable.", + "type": "integer", + "format": "int32" + }, + "title": { + "description": "Optional. Title of the document.", + "type": "string" + }, + "text": { + "description": "Optional. Text of the chunk.", + "type": "string" + }, + "customMetadata": { + "description": "Optional. User-provided metadata about the retrieved context.", "type": "array", "items": { - "$ref": "#/components/schemas/GeneratedFile" + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" } }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "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": { + "type": "string", + "description": "Optional. URI reference of the semantic retrieval document." } }, - "type": "object", - "description": "Response for `ListGeneratedFiles`." + "type": "object" }, - "ComputerUse": { - "description": "Computer Use tool type.", + "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).", "properties": { - "enablePromptInjectionDetection": { - "description": "Optional. Whether enable the prompt injection detection check on computer-use request.", - "type": "boolean" - }, - "disabledSafetyPolicies": { - "description": "Optional. Disabled safety policies for computer use.", - "type": "array", - "items": { - "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." - ], - "enum": [ - "SAFETY_POLICY_UNSPECIFIED", - "FINANCIAL_TRANSACTIONS", - "SENSITIVE_DATA_MODIFICATION", - "COMMUNICATION_TOOL", - "ACCOUNT_CREATION", - "DATA_MODIFICATION", - "USER_CONSENT_MANAGEMENT", - "LEGAL_TERMS_AND_AGREEMENTS" - ] - } + "message": { + "type": "string", + "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." }, - "excludedPredefinedFunctions": { - "type": "array", + "details": { + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", "items": { - "type": "string" + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "type": "object" }, - "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" }, - "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." - ], - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER", - "ENVIRONMENT_MOBILE", - "ENVIRONMENT_DESKTOP" - ], - "type": "string" + "code": { + "type": "integer", + "format": "int32", + "description": "The status code, which should be an enum value of google.rpc.Code." } }, "type": "object" }, - "CountTokensResponse": { - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", - "type": "object", + "ContentEmbedding": { + "description": "A list of floats representing an embedding.", "properties": { - "totalTokens": { - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", - "format": "int32", - "type": "integer" - }, - "promptTokensDetails": { - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, - "type": "array", + "values": { "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "type": "number", + "format": "float" + }, + "type": "array", + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls." }, - "cacheTokensDetails": { - "description": "Output only. List of modalities that were processed in the cached content.", - "readOnly": true, + "shape": { + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "integer", + "format": "int32" } - }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content).", - "format": "int32", - "type": "integer" } - } + }, + "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.", + "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": { - "category": { + "googleMapsUri": { "type": "string", - "description": "Required. The category for this rating.", - "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" - ], - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ] + "description": "A link that corresponds to the user review on Google Maps." }, - "probability": { + "title": { "type": "string", - "description": "Required. The probability of harm for this content.", + "description": "Title of the review." + }, + "reviewId": { + "description": "The ID of the review snippet.", + "type": "string" + } + } + }, + "GoogleMaps": { + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", + "properties": { + "enableWidget": { + "type": "boolean", + "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": "object" + }, + "DynamicRetrievalConfig": { + "type": "object", + "description": "Describes the options to customize dynamic retrieval.", + "properties": { + "mode": { + "type": "string", + "description": "The mode of the predictor to be used in dynamic retrieval.", "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." + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." ], "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", - "LOW", - "MEDIUM", - "HIGH" + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" ] }, - "blocked": { - "description": "Was this content blocked because of this rating?", - "type": "boolean" + "dynamicThreshold": { + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", + "type": "number", + "format": "float" } } }, - "ListFileSearchStoresResponse": { - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", + "ResponseFormatConfig": { "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": { - "fileSearchStores": { - "description": "The returned rag_stores.", - "type": "array", - "items": { - "$ref": "#/components/schemas/FileSearchStore" - } + "text": { + "description": "Optional. Text output format configuration.", + "$ref": "#/components/schemas/TextResponseFormat" + }, + "image": { + "description": "Optional. Image output format configuration.", + "$ref": "#/components/schemas/ImageResponseFormat" + }, + "audio": { + "description": "Optional. Audio output format configuration.", + "$ref": "#/components/schemas/AudioResponseFormat" + } + } + }, + "ModalityTokenCount": { + "description": "Represents token counting info for a single modality.", + "properties": { + "modality": { + "type": "string", + "description": "The modality associated with this token count.", + "x-enum-descriptions": [ + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." + ], + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" + ] }, - "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" + "tokenCount": { + "type": "integer", + "format": "int32", + "description": "Number of tokens." } - } + }, + "type": "object" }, "InlinedResponses": { "description": "The responses to the requests in the batch.", - "type": "object", "properties": { "inlinedResponses": { "description": "Output only. The responses to the requests in the batch.", "readOnly": true, - "type": "array", "items": { "$ref": "#/components/schemas/InlinedResponse" - } + }, + "type": "array" } - } + }, + "type": "object" }, - "ThinkingConfig": { - "description": "Config for thinking features.", + "WhiteSpaceConfig": { "type": "object", + "description": "Configuration for a white space chunking algorithm [white space delimited].", "properties": { - "thinkingLevel": { - "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.", - "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." - ], - "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" - ], - "type": "string" - }, - "includeThoughts": { - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", - "type": "boolean" + "maxTokensPerChunk": { + "type": "integer", + "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." }, - "thinkingBudget": { + "maxOverlapTokens": { "type": "integer", - "description": "The number of thoughts tokens that the model should generate.", - "format": "int32" + "format": "int32", + "description": "Maximum number of overlapping tokens between two adjacent chunks." } } }, - "DynamicRetrievalConfig": { - "description": "Describes the options to customize dynamic retrieval.", + "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": { - "mode": { - "description": "The mode of the predictor to be used in dynamic retrieval.", - "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." - ], - "enum": [ - "MODE_UNSPECIFIED", - "MODE_DYNAMIC" - ], - "type": "string" + "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" + } }, - "dynamicThreshold": { - "type": "number", - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "format": "float" + "topK": { + "type": "integer", + "format": "int32", + "description": "Optional. The number of semantic retrieval chunks to retrieve." + }, + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "type": "string" } } }, - "RetrievalConfig": { - "description": "Retrieval config.", + "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": { - "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" + "contents": { + "items": { + "$ref": "#/components/schemas/Content" + }, + "type": "array", + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set." }, - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" + "generateContentRequest": { + "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", + "$ref": "#/components/schemas/GenerateContentRequest" } - }, - "type": "object" + } }, - "GeneratedFile": { - "type": "object", + "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": { - "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "displayName": { + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", "type": "string" }, - "mimeType": { - "description": "MIME type of the generatedFile.", + "toolConfig": { + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", + "$ref": "#/components/schemas/ToolConfig" + }, + "ttl": { + "description": "Input only. New TTL for this resource, input only.", + "type": "string", + "format": "google-duration" + }, + "model": { + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", "type": "string" }, - "state": { + "tools": { + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", + "type": "array", + "items": { + "$ref": "#/components/schemas/Tool" + } + }, + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", + "$ref": "#/components/schemas/Content" + }, + "updateTime": { + "description": "Output only. When the cache entry was last updated in UTC time.", "readOnly": true, "type": "string", - "description": "Output only. The state of the GeneratedFile.", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Being generated.", - "Generated and is ready for download.", - "Failed to generate the GeneratedFile." - ], - "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" - ] + "format": "google-datetime" }, - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" + "name": { + "type": "string", + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "readOnly": true + }, + "createTime": { + "description": "Output only. Creation time of the cache entry.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "usageMetadata": { + "description": "Output only. Metadata on the usage of the cached content.", + "readOnly": true, + "$ref": "#/components/schemas/CachedContentUsageMetadata" + }, + "expireTime": { + "type": "string", + "format": "google-datetime", + "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input." + }, + "contents": { + "description": "Optional. Input only. Immutable. The content to cache.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + } } }, - "description": "A file generated on behalf of a user." + "type": "object" }, "TransferOwnershipResponse": { + "description": "Response from `TransferOwnership`.", "properties": {}, - "type": "object", - "description": "Response from `TransferOwnership`." + "type": "object" }, - "ImageConfig": { - "description": "Config for image generation features.", + "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": { - "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" - }, - "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" + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/FunctionResponseBlob" } } }, - "FunctionDeclaration": { + "CustomLongRunningOperation": { "properties": { - "behavior": { - "type": "string", - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", - "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." - ], - "enum": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" - ] - }, - "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`." + "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`." }, - "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" + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" }, - "response": { - "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", - "$ref": "#/components/schemas/Schema" + "done": { + "type": "boolean", + "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." }, "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" - }, - "description": { - "description": "Required. A brief description of the function.", + "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" }, - "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`." + "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": "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." - }, - "UrlContext": { - "type": "object", - "properties": {}, - "description": "Tool to support URL context retrieval." + "type": "object" }, - "ExecutableCode": { - "type": "object", + "UrlMetadata": { + "description": "Context of the a single url retrieval.", "properties": { - "id": { - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", - "type": "string" + "retrievedUrl": { + "type": "string", + "description": "Retrieved url by the tool." }, - "language": { - "description": "Required. Programming language of the `code`.", + "urlRetrievalStatus": { + "description": "Status of the url retrieval.", "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." + "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." ], "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" ], "type": "string" - }, - "code": { - "description": "Required. The code to be executed.", - "type": "string" } }, - "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated." + "type": "object" }, - "ImportFileRequest": { + "TunedModel": { + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", "properties": { - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", - "type": "string" + "state": { + "type": "string", + "readOnly": true, + "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." + ], + "enum": [ + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ] }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" }, - "customMetadata": { - "type": "array", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the file." - } - }, - "type": "object", - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`." - }, - "LogprobsResult": { - "description": "Logprobs Result", - "properties": { - "chosenCandidates": { - "type": "array", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - }, - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates." + "temperature": { + "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", + "type": "number", + "format": "float" }, - "logProbabilitySum": { + "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", - "description": "Sum of log probabilities for all tokens.", "format": "float" }, - "topCandidates": { - "type": "array", + "readerProjectNumbers": { "items": { - "$ref": "#/components/schemas/TopCandidates" + "type": "string", + "format": "int64" }, - "description": "Length = total number of decoding steps." - } - }, - "type": "object" - }, - "SafetySetting": { - "properties": { - "threshold": { - "description": "Required. Controls the probability threshold at which harm is blocked.", - "x-enum-descriptions": [ - "Threshold is unspecified.", - "Content with NEGLIGIBLE will be allowed.", - "Content with NEGLIGIBLE and LOW will be allowed.", - "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", - "All content will be allowed.", - "Turn off the safety filter." - ], - "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" - ], + "type": "array", + "description": "Optional. List of project numbers that have read access to the tuned model." + }, + "displayName": { + "type": "string", + "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces." + }, + "baseModel": { + "type": "string", + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`" + }, + "name": { + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "readOnly": true, "type": "string" }, - "category": { - "description": "Required. The category for this setting.", - "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" - ], + "createTime": { "type": "string", - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ] + "format": "google-datetime", + "description": "Output only. The timestamp when this model was created.", + "readOnly": true + }, + "description": { + "type": "string", + "description": "Optional. A short description of this model." + }, + "topK": { + "type": "integer", + "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." + }, + "updateTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when this model was updated.", + "readOnly": true + }, + "tuningTask": { + "description": "Required. The tuning task that creates the tuned model.", + "$ref": "#/components/schemas/TuningTask" } }, - "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." + "type": "object" }, - "ListFilesResponse": { - "description": "Response for `ListFiles`.", + "CitationSource": { "type": "object", + "description": "A citation to a source for a portion of a specific response.", "properties": { - "files": { - "type": "array", - "items": { - "$ref": "#/components/schemas/File" - }, - "description": "The list of `File`s." + "license": { + "type": "string", + "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations." }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", - "type": "string" + "uri": { + "type": "string", + "description": "Optional. URI that is attributed as a source for a portion of the text." + }, + "startIndex": { + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", + "type": "integer", + "format": "int32" + }, + "endIndex": { + "description": "Optional. End of the attributed segment, exclusive.", + "type": "integer", + "format": "int32" } } }, - "InlinedEmbedContentResponse": { + "BatchStats": { + "description": "Stats about the batch.", "properties": { - "error": { - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status", + "requestCount": { + "description": "Output only. The number of requests in the batch.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "pendingRequestCount": { + "type": "string", + "format": "int64", + "description": "Output only. The number of requests that are still pending processing.", "readOnly": true }, - "response": { - "readOnly": true, - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/EmbedContentResponse" + "successfulRequestCount": { + "type": "string", + "format": "int64", + "description": "Output only. The number of requests that were successfully processed.", + "readOnly": true }, - "metadata": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Output only. The metadata associated with the request.", - "readOnly": true, - "type": "object" + "failedRequestCount": { + "type": "string", + "format": "int64", + "description": "Output only. The number of requests that failed to be processed.", + "readOnly": true + } + }, + "type": "object" + }, + "TunedModelSource": { + "description": "Tuned model as a source for training a new model.", + "properties": { + "baseModel": { + "type": "string", + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", + "readOnly": true + }, + "tunedModel": { + "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", + "type": "string" } }, - "type": "object", - "description": "The response to a single request in the batch." + "type": "object" }, - "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`.", + "WebSearch": { + "description": "Standard web search for grounding and related configurations.", + "properties": {}, + "type": "object" + }, + "Document": { + "type": "object", + "description": "A `Document` is a collection of `Chunk`s.", "properties": { - "candidates": { - "description": "Candidate responses from the model.", + "customMetadata": { + "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", "type": "array", "items": { - "$ref": "#/components/schemas/Candidate" + "$ref": "#/components/schemas/CustomMetadata" } }, - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" - }, - "responseId": { - "description": "Output only. response_id is used to identify each response.", - "readOnly": true, - "type": "string" + "updateTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was last updated.", + "readOnly": true }, - "usageMetadata": { - "description": "Output only. Metadata on the generation requests' token usage.", - "$ref": "#/components/schemas/UsageMetadata", + "state": { + "description": "Output only. Current state of the `Document`.", + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", + "All `Chunks` of the `Document` is processed and available for querying.", + "Some `Chunks` of the `Document` failed processing." + ], + "enum": [ + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" + ], + "type": "string", "readOnly": true }, - "modelStatus": { - "description": "Output only. The current model status of this model.", - "$ref": "#/components/schemas/ModelStatus", + "mimeType": { + "type": "string", + "description": "Output only. The mime type of the Document.", "readOnly": true }, - "modelVersion": { - "description": "Output only. The model version used to generate the response.", + "displayName": { + "type": "string", + "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\"" + }, + "createTime": { + "description": "Output only. The Timestamp of when the `Document` was created.", "readOnly": true, - "type": "string" + "type": "string", + "format": "google-datetime" + }, + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the Document.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "name": { + "type": "string", + "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": "object" + } }, - "InputEmbedContentConfig": { + "StreamableHttpTransport": { + "type": "object", + "description": "A transport that can stream HTTP requests and responses. Next ID: 6", "properties": { - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" + "sseReadTimeout": { + "type": "string", + "format": "google-duration", + "description": "Timeout for SSE read operations." }, - "fileName": { - "description": "The name of the `File` containing the input requests.", + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", "type": "string" + }, + "timeout": { + "type": "string", + "format": "google-duration", + "description": "HTTP timeout for regular operations." + }, + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" + }, + "headers": { + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "type": "object", + "additionalProperties": { + "type": "string" + } } - }, + } + }, + "LatLng": { "type": "object", - "description": "Configures the input to the batch request." + "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", + "properties": { + "longitude": { + "type": "number", + "format": "double", + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0]." + }, + "latitude": { + "type": "number", + "format": "double", + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0]." + } + } }, - "UsageMetadata": { - "description": "Metadata on the generation request's token usage.", + "Candidate": { + "type": "object", + "description": "A response candidate generated from the model.", "properties": { - "promptTokensDetails": { + "finishReason": { + "type": "string", "readOnly": true, - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the request input." + "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" + ] }, - "cacheTokensDetails": { + "urlContextMetadata": { + "description": "Output only. Metadata related to url context retrieval tool.", "readOnly": true, - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities of the cached content in the request input." + "$ref": "#/components/schemas/UrlContextMetadata" }, - "totalTokenCount": { + "tokenCount": { "type": "integer", - "description": "Total token count for the generation request (prompt + thoughts + response candidates).", - "format": "int32" + "format": "int32", + "description": "Output only. Token count for this candidate.", + "readOnly": true }, - "toolUsePromptTokensDetails": { - "description": "Output only. List of modalities that were processed for tool-use request inputs.", + "content": { + "description": "Output only. Generated content returned from the model.", "readOnly": true, - "type": "array", + "$ref": "#/components/schemas/Content" + }, + "finishMessage": { + "type": "string", + "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", + "readOnly": true + }, + "citationMetadata": { + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", + "readOnly": true, + "$ref": "#/components/schemas/CitationMetadata" + }, + "logprobsResult": { + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "readOnly": true, + "$ref": "#/components/schemas/LogprobsResult" + }, + "safetyRatings": { "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "$ref": "#/components/schemas/SafetyRating" + }, + "type": "array", + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category." }, - "candidatesTokenCount": { - "description": "Total number of tokens across all the generated response candidates.", - "format": "int32", - "type": "integer" + "groundingMetadata": { + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "readOnly": true, + "$ref": "#/components/schemas/GroundingMetadata" }, - "cachedContentTokenCount": { + "index": { + "description": "Output only. Index of the candidate in the list of response candidates.", + "readOnly": true, "type": "integer", - "description": "Number of tokens in the cached part of the prompt (the cached content)", "format": "int32" }, - "candidatesTokensDetails": { - "description": "Output only. List of modalities that were returned in the response.", - "readOnly": true, + "groundingAttributions": { "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "$ref": "#/components/schemas/GroundingAttribution" + }, + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", + "readOnly": true + }, + "avgLogprobs": { + "type": "number", + "format": "double", + "description": "Output only. Average log probability score of the candidate.", + "readOnly": true + } + } + }, + "FileSearchStore": { + "type": "object", + "description": "A `FileSearchStore` is a collection of `Document`s.", + "properties": { + "name": { + "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", + "readOnly": true, + "type": "string" + }, + "createTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "readOnly": true }, - "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" + "embeddingModel": { + "type": "string", + "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." }, - "toolUsePromptTokenCount": { - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "format": "int32", - "readOnly": true, - "type": "integer" + "sizeBytes": { + "type": "string", + "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`.", + "readOnly": true }, - "serviceTier": { - "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" - ], + "failedDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", "readOnly": true, - "type": "string" + "type": "string", + "format": "int64" }, - "thoughtsTokenCount": { + "displayName": { + "type": "string", + "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\"" + }, + "pendingDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", "readOnly": true, - "type": "integer", - "description": "Output only. Number of tokens of thoughts for thinking models.", - "format": "int32" + "type": "string", + "format": "int64" }, - "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", + "activeDocumentsCount": { + "type": "string", + "format": "int64", + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", "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": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "updateTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "readOnly": true } - }, - "type": "object" + } }, - "FileSearch": { - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", - "type": "object", + "SpeechConfig": { + "description": "Config for speech generation and transcription.", "properties": { - "fileSearchStoreNames": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`" + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" }, - "metadataFilter": { - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", - "type": "string" + "multiSpeakerVoiceConfig": { + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" }, - "topK": { - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "format": "int32", - "type": "integer" + "languageCode": { + "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", + "type": "string" } - } + }, + "type": "object" }, - "PromptFeedback": { - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", + "AttributionSourceId": { + "description": "Identifier for the source contributing to this attribution.", "properties": { - "safetyRatings": { - "description": "Ratings for safety of the prompt. There is at most one rating per category.", - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetyRating" - } + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" }, - "blockReason": { - "type": "string", - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", - "Prompt was blocked due to unknown reasons.", - "Prompt was blocked due to the terms which are included from the terminology blocklist.", - "Prompt was blocked due to prohibited content.", - "Candidates blocked due to unsafe image generation content." - ], - "enum": [ - "BLOCK_REASON_UNSPECIFIED", - "SAFETY", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "IMAGE_SAFETY" - ] + "groundingPassage": { + "description": "Identifier for an inline passage.", + "$ref": "#/components/schemas/GroundingPassageId" } }, "type": "object" }, - "FunctionResponseBlob": { - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "CodeExecutionResult": { + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", "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).", + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", "type": "string" }, - "data": { + "outcome": { "type": "string", - "description": "Raw bytes for media formats.", - "format": "byte" + "description": "Required. Outcome of the code execution.", + "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." + ], + "enum": [ + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" + ] + }, + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "type": "string" } }, "type": "object" }, - "CachedContent": { + "Tool": { "type": "object", + "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": { - "contents": { - "description": "Optional. Input only. Immutable. The content to cache.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Content" - } - }, - "tools": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" - }, - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response" + "computerUse": { + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", + "$ref": "#/components/schemas/ComputerUse" }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" + "googleMaps": { + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", + "$ref": "#/components/schemas/GoogleMaps" }, - "model": { - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", - "type": "string" + "googleSearchRetrieval": { + "description": "Optional. Retrieval tool that is powered by Google search.", + "$ref": "#/components/schemas/GoogleSearchRetrieval" }, - "updateTime": { - "readOnly": true, - "type": "string", - "description": "Output only. When the cache entry was last updated in UTC time.", - "format": "google-datetime" + "googleSearch": { + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "$ref": "#/components/schemas/GoogleSearch" }, - "name": { - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "readOnly": true, - "type": "string" + "mcpServers": { + "items": { + "$ref": "#/components/schemas/McpServer" + }, + "type": "array", + "description": "Optional. MCP Servers to connect to." }, - "createTime": { - "readOnly": true, - "type": "string", - "description": "Output only. Creation time of the cache entry.", - "format": "google-datetime" + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" }, - "ttl": { - "type": "string", - "description": "Input only. New TTL for this resource, input only.", - "format": "google-duration" + "functionDeclarations": { + "type": "array", + "items": { + "$ref": "#/components/schemas/FunctionDeclaration" + }, + "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn." }, - "usageMetadata": { - "description": "Output only. Metadata on the usage of the cached content.", - "$ref": "#/components/schemas/CachedContentUsageMetadata", - "readOnly": true + "codeExecution": { + "description": "Optional. Enables the model to execute code as part of generation.", + "$ref": "#/components/schemas/CodeExecution" }, - "expireTime": { - "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", - "format": "google-datetime", - "type": "string" + "fileSearch": { + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", + "$ref": "#/components/schemas/FileSearch" + } + } + }, + "ListFileSearchStoresResponse": { + "type": "object", + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", + "properties": { + "fileSearchStores": { + "items": { + "$ref": "#/components/schemas/FileSearchStore" + }, + "type": "array", + "description": "The returned rag_stores." }, - "displayName": { - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "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" - }, - "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" } - }, - "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." + } } } }