From 46aa79466c7c3ba1104539d9a54556408f5e3187 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 4 May 2026 19:27:27 +0000 Subject: [PATCH] feat: Updated OpenAPI spec --- ...Client.BatchesUpdateEmbedContentBatch.g.cs | 28 +- ...ent.BatchesUpdateGenerateContentBatch.g.cs | 28 +- ...ini.GeminiClient.CachedContentsCreate.g.cs | 48 +- ...mini.GeminiClient.CachedContentsPatch.g.cs | 48 +- ...i.GeminiClient.DynamicGenerateContent.g.cs | 56 +- ...niClient.DynamicStreamGenerateContent.g.cs | 56 +- ....DynamicStreamGenerateContentAsStream.g.cs | 56 +- ...miniClient.FileSearchStoresImportFile.g.cs | 10 +- ...niClient.MediaUploadToFileSearchStore.g.cs | 16 +- ...Gemini.GeminiClient.ModelsCountTokens.g.cs | 10 +- ...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 | 48 +- ...miniClient.TunedModelsGenerateContent.g.cs | 56 +- ....Gemini.GeminiClient.TunedModelsPatch.g.cs | 48 +- ...ient.TunedModelsStreamGenerateContent.g.cs | 56 +- ...edModelsStreamGenerateContentAsStream.g.cs | 56 +- ...Client.BatchesUpdateEmbedContentBatch.g.cs | 22 +- ...ent.BatchesUpdateGenerateContentBatch.g.cs | 22 +- ...ni.IGeminiClient.CachedContentsCreate.g.cs | 38 +- ...ini.IGeminiClient.CachedContentsPatch.g.cs | 38 +- ....IGeminiClient.DynamicGenerateContent.g.cs | 44 +- ...niClient.DynamicStreamGenerateContent.g.cs | 44 +- ....DynamicStreamGenerateContentAsStream.g.cs | 44 +- ...miniClient.FileSearchStoresImportFile.g.cs | 8 +- ...niClient.MediaUploadToFileSearchStore.g.cs | 12 +- ...emini.IGeminiClient.ModelsCountTokens.g.cs | 8 +- ...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 | 38 +- ...miniClient.TunedModelsGenerateContent.g.cs | 44 +- ...Gemini.IGeminiClient.TunedModelsPatch.g.cs | 38 +- ...ient.TunedModelsStreamGenerateContent.g.cs | 44 +- ...edModelsStreamGenerateContentAsStream.g.cs | 44 +- .../Google.Gemini.JsonSerializerContext.g.cs | 560 +- ...gle.Gemini.JsonSerializerContextTypes.g.cs | 558 +- .../Google.Gemini.Models.BatchStats.g.cs | 40 +- .../Generated/Google.Gemini.Models.Blob.g.cs | 24 +- .../Google.Gemini.Models.CachedContent.g.cs | 158 +- .../Google.Gemini.Models.Candidate.g.cs | 146 +- .../Google.Gemini.Models.CitationSource.g.cs | 46 +- ...gle.Gemini.Models.CodeExecutionResult.g.cs | 24 +- .../Google.Gemini.Models.ComputerUse.g.cs | 24 +- .../Google.Gemini.Models.Content.g.cs | 24 +- .../Google.Gemini.Models.Corpus.g.cs | 28 +- ...ogle.Gemini.Models.CountTokensRequest.g.cs | 24 +- ...gle.Gemini.Models.CountTokensResponse.g.cs | 48 +- ...ini.Models.CustomLongRunningOperation.g.cs | 22 +- .../Google.Gemini.Models.Document.g.cs | 74 +- ...oogle.Gemini.Models.EmbedContentBatch.g.cs | 132 +- ....Gemini.Models.EmbedContentBatchStats.g.cs | 50 +- ...ogle.Gemini.Models.EmbedContentConfig.g.cs | 68 +- ...gle.Gemini.Models.EmbedContentRequest.g.cs | 44 +- ....Gemini.Models.EmbeddingUsageMetadata.g.cs | 26 +- .../Google.Gemini.Models.ExecutableCode.g.cs | 24 +- .../Generated/Google.Gemini.Models.File.g.cs | 160 +- .../Google.Gemini.Models.FileSearch.g.cs | 24 +- .../Google.Gemini.Models.FileSearchStore.g.cs | 62 +- .../Google.Gemini.Models.FunctionCall.g.cs | 24 +- ...e.Gemini.Models.FunctionCallingConfig.g.cs | 24 +- ...gle.Gemini.Models.FunctionDeclaration.g.cs | 78 +- ...Google.Gemini.Models.FunctionResponse.g.cs | 60 +- ...le.Gemini.Models.FunctionResponseBlob.g.cs | 24 +- ...le.Gemini.Models.GenerateContentBatch.g.cs | 132 +- ....Gemini.Models.GenerateContentRequest.g.cs | 120 +- ...Gemini.Models.GenerateContentResponse.g.cs | 70 +- ...Google.Gemini.Models.GenerationConfig.g.cs | 242 +- ...erativelanguageV1betaGroundingSupport.g.cs | 38 +- ...ogleAiGenerativelanguageV1betaSegment.g.cs | 38 +- ...le.Gemini.Models.GroundingAttribution.g.cs | 24 +- .../Google.Gemini.Models.GroundingChunk.g.cs | 28 +- ...i.Models.GroundingChunkCustomMetadata.g.cs | 24 +- ...oogle.Gemini.Models.GroundingMetadata.g.cs | 60 +- .../Google.Gemini.Models.Hyperparameters.g.cs | 28 +- .../Generated/Google.Gemini.Models.Image.g.cs | 24 +- ...oogle.Gemini.Models.ImportFileRequest.g.cs | 24 +- ...ini.Models.InlinedEmbedContentRequest.g.cs | 24 +- ...ni.Models.InlinedEmbedContentResponse.g.cs | 22 +- ...Gemini.Models.InputEmbedContentConfig.g.cs | 24 +- .../Google.Gemini.Models.Interval.g.cs | 24 +- .../Google.Gemini.Models.LatLng.g.cs | 24 +- ...ini.Models.ListCachedContentsResponse.g.cs | 24 +- ...gle.Gemini.Models.ListCorporaResponse.g.cs | 24 +- ...i.Models.ListFileSearchStoresResponse.g.cs | 24 +- ...oogle.Gemini.Models.ListFilesResponse.g.cs | 24 +- ...ogle.Gemini.Models.ListModelsResponse.g.cs | 24 +- ....Gemini.Models.ListOperationsResponse.g.cs | 24 +- ...Gemini.Models.ListPermissionsResponse.g.cs | 24 +- ...Gemini.Models.LogprobsResultCandidate.g.cs | 24 +- .../Generated/Google.Gemini.Models.Maps.g.cs | 58 +- ...ogle.Gemini.Models.ModalityTokenCount.g.cs | 24 +- .../Generated/Google.Gemini.Models.Model.g.cs | 112 +- .../Google.Gemini.Models.ModelStatus.g.cs | 22 +- .../Google.Gemini.Models.Operation.g.cs | 28 +- .../Generated/Google.Gemini.Models.Part.g.cs | 118 +- .../Google.Gemini.Models.PromptFeedback.g.cs | 24 +- .../Google.Gemini.Models.RetrievalConfig.g.cs | 24 +- ...Google.Gemini.Models.RetrievedContext.g.cs | 62 +- .../Google.Gemini.Models.ReviewSnippet.g.cs | 22 +- .../Google.Gemini.Models.SafetyRating.g.cs | 24 +- .../Google.Gemini.Models.Schema.g.cs | 248 +- ...Google.Gemini.Models.SearchEntryPoint.g.cs | 24 +- ....Gemini.Models.SemanticRetrieverChunk.g.cs | 26 +- ...ogle.Gemini.Models.SpeakerVoiceConfig.g.cs | 24 +- .../Google.Gemini.Models.SpeechConfig.g.cs | 28 +- ...Gemini.Models.StreamableHttpTransport.g.cs | 38 +- .../Google.Gemini.Models.ThinkingConfig.g.cs | 24 +- .../Generated/Google.Gemini.Models.Tool.g.cs | 80 +- .../Google.Gemini.Models.ToolCall.g.cs | 22 +- .../Google.Gemini.Models.ToolConfig.g.cs | 22 +- .../Google.Gemini.Models.ToolResponse.g.cs | 26 +- .../Google.Gemini.Models.TunedModel.g.cs | 146 +- ...Google.Gemini.Models.TunedModelSource.g.cs | 24 +- .../Google.Gemini.Models.TuningExample.g.cs | 24 +- .../Google.Gemini.Models.TuningSnapshot.g.cs | 28 +- .../Google.Gemini.Models.TuningTask.g.cs | 48 +- ...Models.UploadToFileSearchStoreRequest.g.cs | 28 +- .../Google.Gemini.Models.UrlMetadata.g.cs | 24 +- .../Google.Gemini.Models.UsageMetadata.g.cs | 94 +- .../Google.Gemini.Models.VideoMetadata.g.cs | 28 +- .../Generated/Google.Gemini.Models.Web.g.cs | 26 +- src/libs/Google.Gemini/openapi.json | 7762 ++++++++--------- 126 files changed, 7250 insertions(+), 7250 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 4475e9b0..2430f6ae 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 @@ -397,47 +397,47 @@ 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. /// /// /// Configures the input to the batch request. /// - /// - /// Stats about the batch. - /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Stats about the batch. + /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// Required. The user-defined name of this batch. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - string? displayName = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, string? model = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? priority = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { - DisplayName = displayName, - InputConfig = inputConfig, - BatchStats = batchStats, Output = output, + InputConfig = inputConfig, Model = model, + BatchStats = batchStats, Priority = priority, + DisplayName = displayName, }; return await BatchesUpdateEmbedContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs index c04ac184..7f00c51f 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 @@ -397,47 +397,47 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// + /// + /// Required. The user-defined name of this batch. + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// /// Stats about the batch. /// - /// - /// 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. /// /// /// Configures the input to the batch request. /// + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, + string? displayName = default, string? model = default, - string? priority = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.BatchStats? batchStats = default, - string? displayName = default, + string? priority = default, global::Google.Gemini.InputConfig? inputConfig = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { + DisplayName = displayName, Model = model, - Priority = priority, - Output = output, BatchStats = batchStats, - DisplayName = displayName, + Priority = priority, InputConfig = inputConfig, + Output = output, }; return await BatchesUpdateGenerateContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs index bedb3d18..47100d41 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 @@ -380,60 +380,60 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Creates CachedContent resource. /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// Optional. Input only. Immutable. The content to cache. /// + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// /// /// Input only. New TTL for this resource, input only. /// - /// - /// Metadata on the usage of the cached content. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Metadata on the usage of the cached content. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CachedContentsCreateAsync( + string? expireTime = default, + string? model = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + string? displayName = default, string? ttl = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::Google.Gemini.Content? systemInstruction = default, - string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? model = default, - string? expireTime = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { + ExpireTime = expireTime, + Model = model, Contents = contents, + Tools = tools, + DisplayName = displayName, Ttl = ttl, - UsageMetadata = usageMetadata, SystemInstruction = systemInstruction, - DisplayName = displayName, + UsageMetadata = usageMetadata, ToolConfig = toolConfig, - Tools = tools, - Model = model, - ExpireTime = expireTime, }; 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 682e0d42..25982576 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 @@ -397,62 +397,62 @@ 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. + /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// Optional. Input only. Immutable. The content to cache. /// + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// /// /// Input only. New TTL for this resource, input only. /// - /// - /// Metadata on the usage of the cached content. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Metadata on the usage of the cached content. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, + string? expireTime = default, + string? model = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + string? displayName = default, string? ttl = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::Google.Gemini.Content? systemInstruction = default, - string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? model = default, - string? expireTime = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { + ExpireTime = expireTime, + Model = model, Contents = contents, + Tools = tools, + DisplayName = displayName, Ttl = ttl, - UsageMetadata = usageMetadata, SystemInstruction = systemInstruction, - DisplayName = displayName, + UsageMetadata = usageMetadata, ToolConfig = toolConfig, - Tools = tools, - Model = model, - ExpireTime = expireTime, }; return await CachedContentsPatchAsync( 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 92ea6334..53d0e676 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 @@ -387,66 +387,66 @@ 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. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 { - CachedContent = cachedContent, - SystemInstruction = systemInstruction, - ToolConfig = toolConfig, - ServiceTier = serviceTier, - Contents = contents, GenerationConfig = generationConfig, - Model = model, + Contents = contents, Tools = tools, + CachedContent = cachedContent, + Model = model, SafetySettings = safetySettings, + SystemInstruction = systemInstruction, Store = store, + ToolConfig = toolConfig, + 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 29619917..bd357351 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 @@ -387,66 +387,66 @@ 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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 { - CachedContent = cachedContent, - SystemInstruction = systemInstruction, - ToolConfig = toolConfig, - ServiceTier = serviceTier, - Contents = contents, GenerationConfig = generationConfig, - Model = model, + Contents = contents, Tools = tools, + CachedContent = cachedContent, + Model = model, SafetySettings = safetySettings, + SystemInstruction = systemInstruction, Store = store, + ToolConfig = toolConfig, + 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 1fab1e60..9a859894 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 @@ -360,66 +360,66 @@ 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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 { - CachedContent = cachedContent, - SystemInstruction = systemInstruction, - ToolConfig = toolConfig, - ServiceTier = serviceTier, - Contents = contents, GenerationConfig = generationConfig, - Model = model, + Contents = contents, Tools = tools, + CachedContent = cachedContent, + Model = model, SafetySettings = safetySettings, + SystemInstruction = systemInstruction, Store = store, + ToolConfig = toolConfig, + 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 79399530..a7fd48eb 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 @@ -387,31 +387,31 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// Imports a `File` from File Service to a `FileSearchStore`. /// /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// /// /// 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 - /// /// 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, + global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? fileName = default, global::System.Collections.Generic.IList? customMetadata = default, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.ImportFileRequest { + ChunkingConfig = chunkingConfig, FileName = fileName, CustomMetadata = customMetadata, - ChunkingConfig = chunkingConfig, }; return await FileSearchStoresImportFileAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs index 7b2ca122..37f956e0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs @@ -387,8 +387,8 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Custom metadata to be associated with the data. + /// + /// Optional. Display name of the created document. /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto @@ -396,27 +396,27 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// - /// - /// Optional. Display name of the created document. + /// + /// Custom metadata to be associated with the data. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - global::System.Collections.Generic.IList? customMetadata = default, + string? displayName = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? mimeType = default, - string? displayName = default, + global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.UploadToFileSearchStoreRequest { - CustomMetadata = customMetadata, + DisplayName = displayName, ChunkingConfig = chunkingConfig, MimeType = mimeType, - DisplayName = displayName, + CustomMetadata = customMetadata, }; return await MediaUploadToFileSearchStoreAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsCountTokens.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsCountTokens.g.cs index 13706064..293eab14 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsCountTokens.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsCountTokens.g.cs @@ -387,26 +387,26 @@ partial void ProcessModelsCountTokensResponseContent( /// 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. /// /// - /// - /// Request to generate a completion from the model. - /// /// /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. /// + /// + /// Request to generate a completion from the model. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsCountTokensAsync( string modelsId, - global::Google.Gemini.GenerateContentRequest? generateContentRequest = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerateContentRequest? generateContentRequest = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CountTokensRequest { - GenerateContentRequest = generateContentRequest, Contents = contents, + GenerateContentRequest = generateContentRequest, }; return await ModelsCountTokensAsync( 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 b831ed90..2fc245da 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 @@ -389,31 +389,31 @@ 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 804d60de..60aede81 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 @@ -387,66 +387,66 @@ 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. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 { - CachedContent = cachedContent, - SystemInstruction = systemInstruction, - ToolConfig = toolConfig, - ServiceTier = serviceTier, - Contents = contents, GenerationConfig = generationConfig, - Model = model, + Contents = contents, Tools = tools, + CachedContent = cachedContent, + Model = model, SafetySettings = safetySettings, + SystemInstruction = systemInstruction, Store = store, + ToolConfig = toolConfig, + 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 d70ba1b7..51ac31bd 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 @@ -387,66 +387,66 @@ 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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 { - CachedContent = cachedContent, - SystemInstruction = systemInstruction, - ToolConfig = toolConfig, - ServiceTier = serviceTier, - Contents = contents, GenerationConfig = generationConfig, - Model = model, + Contents = contents, Tools = tools, + CachedContent = cachedContent, + Model = model, SafetySettings = safetySettings, + SystemInstruction = systemInstruction, Store = store, + ToolConfig = toolConfig, + 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 68fd5950..f97be1af 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 @@ -360,66 +360,66 @@ 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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 { - CachedContent = cachedContent, - SystemInstruction = systemInstruction, - ToolConfig = toolConfig, - ServiceTier = serviceTier, - Contents = contents, GenerationConfig = generationConfig, - Model = model, + Contents = contents, Tools = tools, + CachedContent = cachedContent, + Model = model, SafetySettings = safetySettings, + SystemInstruction = systemInstruction, Store = store, + ToolConfig = toolConfig, + 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 8ab3aa25..2e2fb567 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 @@ -390,61 +390,61 @@ 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 /// /// - /// - /// Tuned model as a source for training a new model. - /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Tuning tasks that create tuned models. + /// + /// 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. + /// + /// + /// 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. 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. 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. 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. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. A short description of this model. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, string? baseModel = default, - global::Google.Gemini.TuningTask? tuningTask = default, - float? temperature = default, - int? topK = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, string? displayName = default, - string? description = default, float? topP = default, + int? topK = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? temperature = default, + global::Google.Gemini.TuningTask? tuningTask = default, + string? description = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - TunedModelSource = tunedModelSource, BaseModel = baseModel, - TuningTask = tuningTask, - Temperature = temperature, - TopK = topK, ReaderProjectNumbers = readerProjectNumbers, DisplayName = displayName, - Description = description, TopP = topP, + TopK = topK, + TunedModelSource = tunedModelSource, + Temperature = temperature, + TuningTask = tuningTask, + Description = description, }; 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 1fabfea7..76cd2239 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 @@ -387,66 +387,66 @@ 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. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 { - CachedContent = cachedContent, - SystemInstruction = systemInstruction, - ToolConfig = toolConfig, - ServiceTier = serviceTier, - Contents = contents, GenerationConfig = generationConfig, - Model = model, + Contents = contents, Tools = tools, + CachedContent = cachedContent, + Model = model, SafetySettings = safetySettings, + SystemInstruction = systemInstruction, Store = store, + ToolConfig = toolConfig, + 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 142710bc..b1127c51 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 @@ -397,62 +397,62 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// /// - /// - /// Tuned model as a source for training a new model. - /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Tuning tasks that create tuned models. + /// + /// 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. + /// + /// + /// 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. 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. 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. 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. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. A short description of this model. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, string? baseModel = default, - global::Google.Gemini.TuningTask? tuningTask = default, - float? temperature = default, - int? topK = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, string? displayName = default, - string? description = default, float? topP = default, + int? topK = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? temperature = default, + global::Google.Gemini.TuningTask? tuningTask = default, + string? description = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - TunedModelSource = tunedModelSource, BaseModel = baseModel, - TuningTask = tuningTask, - Temperature = temperature, - TopK = topK, ReaderProjectNumbers = readerProjectNumbers, DisplayName = displayName, - Description = description, TopP = topP, + TopK = topK, + TunedModelSource = tunedModelSource, + Temperature = temperature, + TuningTask = tuningTask, + Description = description, }; return await TunedModelsPatchAsync( 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 c99fa8d2..2326e1fb 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 @@ -387,66 +387,66 @@ 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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 { - CachedContent = cachedContent, - SystemInstruction = systemInstruction, - ToolConfig = toolConfig, - ServiceTier = serviceTier, - Contents = contents, GenerationConfig = generationConfig, - Model = model, + Contents = contents, Tools = tools, + CachedContent = cachedContent, + Model = model, SafetySettings = safetySettings, + SystemInstruction = systemInstruction, Store = store, + ToolConfig = toolConfig, + 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 56fc0ab4..513c3143 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 @@ -360,66 +360,66 @@ 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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 { - CachedContent = cachedContent, - SystemInstruction = systemInstruction, - ToolConfig = toolConfig, - ServiceTier = serviceTier, - Contents = contents, GenerationConfig = generationConfig, - Model = model, + Contents = contents, Tools = tools, + CachedContent = cachedContent, + Model = model, SafetySettings = safetySettings, + SystemInstruction = systemInstruction, Store = store, + ToolConfig = toolConfig, + 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 f6026515..92f72444 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 @@ -25,36 +25,36 @@ 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. /// /// /// Configures the input to the batch request. /// - /// - /// Stats about the batch. - /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Stats about the batch. + /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// Required. The user-defined name of this batch. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - string? displayName = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, string? model = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? priority = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 408a79b0..a00f1a2a 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 @@ -25,36 +25,36 @@ public partial interface IGeminiClient /// /// /// + /// + /// Required. The user-defined name of this batch. + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// /// Stats about the batch. /// - /// - /// 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. /// /// /// Configures the input to the batch request. /// + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, + string? displayName = default, string? model = default, - string? priority = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.BatchStats? batchStats = default, - string? displayName = default, + string? priority = default, global::Google.Gemini.InputConfig? inputConfig = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs index 43041b47..44a896e4 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 @@ -19,46 +19,46 @@ public partial interface IGeminiClient /// /// Creates CachedContent resource. /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// Optional. Input only. Immutable. The content to cache. /// + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// /// /// Input only. New TTL for this resource, input only. /// - /// - /// Metadata on the usage of the cached content. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Metadata on the usage of the cached content. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CachedContentsCreateAsync( + string? expireTime = default, + string? model = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + string? displayName = default, string? ttl = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::Google.Gemini.Content? systemInstruction = default, - string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? model = default, - string? expireTime = 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 43354ded..3d1e97dc 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 @@ -25,48 +25,48 @@ 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. + /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// Optional. Input only. Immutable. The content to cache. /// + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// /// /// Input only. New TTL for this resource, input only. /// - /// - /// Metadata on the usage of the cached content. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Metadata on the usage of the cached content. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, + string? expireTime = default, + string? model = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + string? displayName = default, string? ttl = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::Google.Gemini.Content? systemInstruction = default, - string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? model = default, - string? expireTime = 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 d4d60f06..1db2473e 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 @@ -22,51 +22,51 @@ 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. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 1ded16e7..22b47bbd 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 @@ -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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 5e7b379f..74e3c54c 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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 30e4cb8e..1f5210df 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 @@ -22,23 +22,23 @@ public partial interface IGeminiClient /// Imports a `File` from File Service to a `FileSearchStore`. /// /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// /// /// 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 - /// /// 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, + global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? fileName = default, global::System.Collections.Generic.IList? customMetadata = default, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs index 585d330b..acf7cc33 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs @@ -22,8 +22,8 @@ public partial interface IGeminiClient /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Custom metadata to be associated with the data. + /// + /// Optional. Display name of the created document. /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto @@ -31,18 +31,18 @@ public partial interface IGeminiClient /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// - /// - /// Optional. Display name of the created document. + /// + /// Custom metadata to be associated with the data. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - global::System.Collections.Generic.IList? customMetadata = default, + string? displayName = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? mimeType = default, - string? displayName = default, + global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsCountTokens.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsCountTokens.g.cs index 5fd7ed15..3de073d1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsCountTokens.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsCountTokens.g.cs @@ -22,19 +22,19 @@ public partial interface IGeminiClient /// 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. /// /// - /// - /// Request to generate a completion from the model. - /// /// /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. /// + /// + /// Request to generate a completion from the model. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsCountTokensAsync( string modelsId, - global::Google.Gemini.GenerateContentRequest? generateContentRequest = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerateContentRequest? generateContentRequest = 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 a329c35c..e1ba59ba 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 @@ -24,23 +24,23 @@ 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 6dc0e869..9c3b567a 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 @@ -22,51 +22,51 @@ 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. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 ada1e7fd..f716191f 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 @@ -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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 9a136d28..fdcd8769 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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 e56ad430..9f602a9f 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 @@ -22,47 +22,47 @@ 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 /// /// - /// - /// Tuned model as a source for training a new model. - /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Tuning tasks that create tuned models. + /// + /// 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. + /// + /// + /// 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. 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. 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. 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. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. A short description of this model. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, string? baseModel = default, - global::Google.Gemini.TuningTask? tuningTask = default, - float? temperature = default, - int? topK = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, string? displayName = default, - string? description = default, float? topP = default, + int? topK = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? temperature = default, + global::Google.Gemini.TuningTask? tuningTask = default, + string? description = 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 796ce1a4..f4095a66 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 @@ -22,51 +22,51 @@ 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. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 834f9648..f1644178 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 @@ -25,48 +25,48 @@ public partial interface IGeminiClient /// /// /// - /// - /// Tuned model as a source for training a new model. - /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Tuning tasks that create tuned models. + /// + /// 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. + /// + /// + /// 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. 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. 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. 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. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. A short description of this model. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, string? baseModel = default, - global::Google.Gemini.TuningTask? tuningTask = default, - float? temperature = default, - int? topK = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, string? displayName = default, - string? description = default, float? topP = default, + int? topK = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? temperature = default, + global::Google.Gemini.TuningTask? tuningTask = default, + string? description = 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 e0021be7..f4018064 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 @@ -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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 7e8087c8..71270486 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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// 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, - string? cachedContent = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - string? model = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 a7a8e3ab..433db32c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -17,421 +17,421 @@ namespace Google.Gemini typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), 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.ListTunedModelsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningTask))] - [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.TuningSnapshot))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Hyperparameters))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Dataset))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchStats))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelSource))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ContentEmbedding))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbeddingUsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchOutput))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCount))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponses))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PrebuiltVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.McpServer))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StreamableHttpTransport))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequests))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequest))] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StringList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResult))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationSource))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputEmbedContentConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkStringList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatusModelStage), TypeInfoPropertyName = "ModelStatusModelStage2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContentUsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCachedContentsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContent))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Part))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCode))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Blob))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponse))] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Empty))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingCategory), TypeInfoPropertyName = "SafetyRatingCategory2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingProbability), TypeInfoPropertyName = "SafetyRatingProbability2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfigMode), TypeInfoPropertyName = "FunctionCallingConfigMode2")] + [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 362907c4..bce74956 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,956 +28,956 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type0 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type0 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type1 { get; set; } + public global::System.Collections.Generic.IList? Type1 { get; set; } /// /// /// - public float? Type2 { get; set; } + public global::Google.Gemini.TunedModel? Type2 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type3 { get; set; } + public string? Type3 { get; set; } /// /// /// - public string? Type4 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type4 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type5 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type5 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type6 { get; set; } + public float? Type6 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type7 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type7 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type8 { get; set; } + public int? Type8 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type9 { get; set; } + public global::System.Collections.Generic.IList? Type9 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type10 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type10 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type11 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type11 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type12 { get; set; } + public global::System.Collections.Generic.IList? Type12 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type13 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type13 { get; set; } /// /// /// - public int? Type14 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type14 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type15 { get; set; } + public global::Google.Gemini.File? Type15 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type16 { get; set; } + public global::Google.Gemini.McpServer? Type16 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type17 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type17 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type18 { get; set; } + public global::Google.Gemini.InlinedRequests? Type18 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type19 { get; set; } + public global::System.Collections.Generic.IList? Type19 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type20 { get; set; } + public global::Google.Gemini.InlinedRequest? Type20 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type21 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type21 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type22 { get; set; } + public global::System.Collections.Generic.IList? Type22 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type23 { get; set; } + public global::Google.Gemini.Content? Type23 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type24 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type24 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type25 { get; set; } + public global::Google.Gemini.LatLng? Type25 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type26 { get; set; } + public double? Type26 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type27 { get; set; } + public object? Type27 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type28 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type28 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type29 { get; set; } + public global::System.Collections.Generic.IList? Type29 { get; set; } /// /// /// - public bool? Type30 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type30 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type31 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type31 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type32 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type32 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type33 { get; set; } + public global::System.Collections.Generic.IList? Type33 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type34 { get; set; } + public global::Google.Gemini.CachedContent? Type34 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type35 { get; set; } + public global::Google.Gemini.FileData? Type35 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type36 { get; set; } + public global::Google.Gemini.WebSearch? Type36 { get; set; } /// /// /// - public byte[]? Type37 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type37 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type38 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type38 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type39 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type39 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type40 { get; set; } + public global::System.Collections.Generic.Dictionary? Type40 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type41 { get; set; } + public bool? Type41 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type42 { get; set; } + public global::Google.Gemini.GenerationConfig? Type42 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type43 { get; set; } + public global::System.Collections.Generic.IList? Type43 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type44 { get; set; } + public global::Google.Gemini.Tool? Type44 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type45 { get; set; } + public global::System.Collections.Generic.IList? Type45 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type46 { get; set; } + public global::Google.Gemini.SafetySetting? Type46 { get; set; } /// /// /// - public object? Type47 { get; set; } + public global::Google.Gemini.ToolConfig? Type47 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type48 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type48 { get; set; } /// /// /// - public global::Google.Gemini.File? Type49 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type49 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type50 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type50 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type51 { get; set; } + public global::Google.Gemini.UrlMetadata? Type51 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type52 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type52 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type53 { get; set; } + public global::Google.Gemini.Corpus? Type53 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type54 { get; set; } + public global::Google.Gemini.Schema? Type54 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type55 { get; set; } + public global::System.Collections.Generic.IList? Type55 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type56 { get; set; } + public global::System.Collections.Generic.Dictionary? Type56 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type57 { get; set; } + public global::System.Collections.Generic.IList? Type57 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type58 { get; set; } + public global::Google.Gemini.SchemaType? Type58 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type59 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type59 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type60 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type60 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type61 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type61 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type62 { get; set; } + public byte[]? Type62 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type63 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type63 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type64 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type64 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type65 { get; set; } + public global::System.Collections.Generic.IList? Type65 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type66 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type66 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type67 { get; set; } + public global::Google.Gemini.InlinedResponses? Type67 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type68 { get; set; } + public global::System.Collections.Generic.IList? Type68 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type69 { get; set; } + public global::Google.Gemini.InlinedResponse? Type69 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type70 { get; set; } + public global::Google.Gemini.LogprobsResult? Type70 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type71 { get; set; } + public global::System.Collections.Generic.IList? Type71 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type72 { get; set; } + public global::Google.Gemini.TopCandidates? Type72 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type73 { get; set; } + public global::System.Collections.Generic.IList? Type73 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type74 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type74 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type75 { get; set; } + public global::Google.Gemini.ModelStatus? Type75 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type76 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type76 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type77 { get; set; } + public global::Google.Gemini.CustomMetadata? Type77 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type78 { get; set; } + public global::Google.Gemini.StringList? Type78 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type79 { get; set; } + public global::Google.Gemini.TuningExample? Type79 { get; set; } /// /// /// - public double? Type80 { get; set; } + public global::Google.Gemini.ToolCall? Type80 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type81 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type81 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type82 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type82 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type83 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type83 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type84 { get; set; } + public global::System.Collections.Generic.IList? Type84 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type85 { get; set; } + public global::Google.Gemini.Part? Type85 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type86 { get; set; } + public global::Google.Gemini.FunctionCall? Type86 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type87 { get; set; } + public global::Google.Gemini.ExecutableCode? Type87 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type88 { get; set; } + public global::Google.Gemini.Blob? Type88 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type89 { get; set; } + public global::Google.Gemini.VideoMetadata? Type89 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type90 { get; set; } + public global::Google.Gemini.FunctionResponse? Type90 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type91 { get; set; } + public global::Google.Gemini.ToolResponse? Type91 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type92 { get; set; } + public global::Google.Gemini.Candidate? Type92 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type93 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type93 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type94 { get; set; } + public global::Google.Gemini.CitationMetadata? Type94 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type95 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type95 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type96 { get; set; } + public global::System.Collections.Generic.IList? Type96 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type97 { get; set; } + public global::Google.Gemini.SafetyRating? Type97 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type98 { get; set; } + public global::System.Collections.Generic.IList? Type98 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type99 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type99 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type100 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type100 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type101 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type101 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type102 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type102 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type103 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type103 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type104 { get; set; } + public global::Google.Gemini.Status? Type104 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type105 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type105 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type106 { get; set; } + public global::Google.Gemini.FileState? Type106 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type107 { get; set; } + public global::Google.Gemini.FileSource? Type107 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type108 { get; set; } + public global::Google.Gemini.UsageMetadata? Type108 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type109 { get; set; } + public global::Google.Gemini.BatchStats? Type109 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type110 { get; set; } + public global::Google.Gemini.GoogleSearch? Type110 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type111 { get; set; } + public global::Google.Gemini.Interval? Type111 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type112 { get; set; } + public global::Google.Gemini.SearchTypes? Type112 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type113 { get; set; } + public global::System.Collections.Generic.IList? Type113 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type114 { get; set; } + public global::Google.Gemini.GroundingChunk? Type114 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type115 { get; set; } + public global::System.Collections.Generic.IList? Type115 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type116 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type116 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type117 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type117 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type118 { get; set; } + public global::System.Collections.Generic.IList? Type118 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type119 { get; set; } + public global::Google.Gemini.FileSearchStore? Type119 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type120 { get; set; } + public global::Google.Gemini.Dataset? Type120 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type121 { get; set; } + public global::Google.Gemini.TuningExamples? Type121 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type122 { get; set; } + public global::Google.Gemini.TunedModelSource? Type122 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type123 { get; set; } + public global::Google.Gemini.ComputerUse? Type123 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type124 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type124 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type125 { get; set; } + public global::System.Collections.Generic.IList? Type125 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type126 { get; set; } + public global::Google.Gemini.ImageSearch? Type126 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type127 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type127 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type128 { get; set; } + public global::Google.Gemini.VoiceConfig? Type128 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type129 { get; set; } + public global::Google.Gemini.Document? Type129 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type130 { get; set; } + public global::Google.Gemini.DocumentState? Type130 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type131 { get; set; } + public global::System.Collections.Generic.IList? Type131 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type132 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type132 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type133 { get; set; } + public global::Google.Gemini.GeneratedFile? Type133 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type134 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type134 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type135 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type135 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type136 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type136 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type137 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type137 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type138 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type138 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type139 { get; set; } + public global::Google.Gemini.Maps? Type139 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type140 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type140 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type141 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type141 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type142 { get; set; } + public global::Google.Gemini.FileSearch? Type142 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type143 { get; set; } + public global::Google.Gemini.InputConfig? Type143 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type144 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type144 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type145 { get; set; } + public global::System.Collections.Generic.IList? Type145 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type146 { get; set; } + public global::Google.Gemini.Permission? Type146 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type147 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type147 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type148 { get; set; } + public global::Google.Gemini.PermissionRole? Type148 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type149 { get; set; } + public global::System.Collections.Generic.IList? Type149 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type150 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type150 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type151 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type151 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type152 { get; set; } + public global::Google.Gemini.Model? Type152 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type153 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type153 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type154 { get; set; } + public global::Google.Gemini.TuningTask? Type154 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type155 { get; set; } + public global::System.Collections.Generic.IList? Type155 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type156 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type156 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type157 { get; set; } + public global::Google.Gemini.Hyperparameters? Type157 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type158 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type158 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type159 { get; set; } + public global::System.Collections.Generic.IList? Type159 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type160 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type160 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type161 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type161 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type162 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type162 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type163 { get; set; } + public global::Google.Gemini.UrlContext? Type163 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type164 { get; set; } + public global::System.Collections.Generic.IList? Type164 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type165 { get; set; } + public global::System.Collections.Generic.IList? Type165 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type166 { get; set; } + public global::Google.Gemini.CodeExecution? Type166 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type167 { get; set; } + public global::Google.Gemini.GoogleMaps? Type167 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type168 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type168 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type169 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type169 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type170 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type170 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type171 { get; set; } + public global::Google.Gemini.Web? Type171 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type172 { get; set; } + public global::Google.Gemini.Operation? Type172 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type173 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type173 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type174 { get; set; } + public global::Google.Gemini.CitationSource? Type174 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type175 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type175 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type176 { get; set; } + public global::System.Collections.Generic.IList? Type176 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type177 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type177 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type178 { get; set; } + public global::System.Collections.Generic.IList? Type178 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type179 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type179 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type180 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type180 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type181 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type181 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type182 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type182 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type183 { get; set; } + public global::System.Collections.Generic.IList? Type183 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type184 { get; set; } + public global::Google.Gemini.RetrievedContext? Type184 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type185 { get; set; } + public global::Google.Gemini.Image? Type185 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type186 { get; set; } + public global::Google.Gemini.ImageConfig? Type186 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type187 { get; set; } + public global::Google.Gemini.TunedModelState? Type187 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type188 { get; set; } + public global::System.Collections.Generic.IList? Type188 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type189 { get; set; } + public global::System.Collections.Generic.IList? Type189 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type190 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type190 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type191 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type191 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type192 { get; set; } + public global::System.Collections.Generic.IList? Type192 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type193 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type193 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type194 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type194 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type195 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type195 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type196 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type196 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type197 { get; set; } + public global::System.Collections.Generic.IList? Type197 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type198 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type198 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type199 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type199 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type200 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type200 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type201 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type201 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type202 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type202 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type203 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type203 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type204 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type204 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type205 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type205 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type206 { get; set; } + public global::System.Collections.Generic.IList? Type206 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type207 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type207 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type208 { get; set; } + public global::System.Collections.Generic.IList? Type208 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type209 { get; set; } + public global::Google.Gemini.SpeechConfig? Type209 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type210 { get; set; } + public global::Google.Gemini.PromptFeedback? Type210 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type211 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type211 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type212 { get; set; } + public global::System.Collections.Generic.IList? Type212 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type213 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type213 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type214 { get; set; } + public global::System.Collections.Generic.IList? Type214 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type215 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type215 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type216 { get; set; } + public global::System.Collections.Generic.IList? Type216 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type217 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type217 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type218 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type218 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type219 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type219 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type220 { get; set; } + public global::System.Collections.Generic.IList? Type220 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type221 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type221 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type222 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type222 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type223 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type223 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type224 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type224 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type225 { get; set; } + public global::System.Collections.Generic.IList? Type225 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type226 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type226 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type227 { get; set; } + public global::System.Collections.Generic.IList? Type227 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type228 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type228 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type229 { get; set; } + public global::Google.Gemini.Empty? Type229 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type230 { get; set; } + public global::System.Collections.Generic.IList? Type230 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type231 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type231 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type232 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type232 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type233 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type233 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type234 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type234 { 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; } /// /// /// @@ -985,166 +985,166 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType7 { get; set; } + public global::System.Collections.Generic.List? ListType7 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType8 { get; set; } + public global::System.Collections.Generic.List? ListType8 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType9 { get; set; } + public global::System.Collections.Generic.List? ListType9 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType10 { get; set; } + public global::System.Collections.Generic.List? ListType10 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType11 { get; set; } + public global::System.Collections.Generic.List? ListType11 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType12 { get; set; } + public global::System.Collections.Generic.List? ListType12 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType13 { get; set; } + public global::System.Collections.Generic.List? ListType13 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType14 { get; set; } + public global::System.Collections.Generic.List? ListType14 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType15 { get; set; } + public global::System.Collections.Generic.List? ListType15 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType16 { get; set; } + public global::System.Collections.Generic.List? ListType16 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType17 { get; set; } + public global::System.Collections.Generic.List? ListType17 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType18 { get; set; } + public global::System.Collections.Generic.List? ListType18 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType19 { get; set; } + public global::System.Collections.Generic.List? ListType19 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType20 { get; set; } + public global::System.Collections.Generic.List? ListType20 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType21 { get; set; } + public global::System.Collections.Generic.List? ListType21 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType22 { get; set; } + public global::System.Collections.Generic.List? ListType22 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType23 { get; set; } + public global::System.Collections.Generic.List? ListType23 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType24 { get; set; } + public global::System.Collections.Generic.List? ListType24 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType25 { get; set; } + public global::System.Collections.Generic.List? ListType25 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType26 { get; set; } + public global::System.Collections.Generic.List? ListType26 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType27 { get; set; } + public global::System.Collections.Generic.List? ListType27 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType28 { get; set; } + public global::System.Collections.Generic.List? ListType28 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType29 { get; set; } + public global::System.Collections.Generic.List? ListType29 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType30 { get; set; } + public global::System.Collections.Generic.List? ListType30 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType31 { get; set; } + public global::System.Collections.Generic.List? ListType31 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType32 { get; set; } + public global::System.Collections.Generic.List? ListType32 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType33 { get; set; } + public global::System.Collections.Generic.List? ListType33 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType34 { get; set; } + public global::System.Collections.Generic.List? ListType34 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType35 { get; set; } + public global::System.Collections.Generic.List? ListType35 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType36 { get; set; } + public global::System.Collections.Generic.List? ListType36 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType37 { get; set; } + public global::System.Collections.Generic.List? ListType37 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType38 { get; set; } + public global::System.Collections.Generic.List? ListType38 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType39 { get; set; } + public global::System.Collections.Generic.List? ListType39 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType40 { get; set; } + public global::System.Collections.Generic.List? ListType40 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType41 { get; set; } + public global::System.Collections.Generic.List? ListType41 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType42 { get; set; } + public global::System.Collections.Generic.List? ListType42 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType43 { get; set; } + public global::System.Collections.Generic.List? ListType43 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType44 { get; set; } + public global::System.Collections.Generic.List? ListType44 { get; set; } } } \ No newline at end of file diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs index f371d261..aa6dfe2a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class BatchStats { /// - /// Output only. The number of requests 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; } /// /// Output only. The number of requests that are still pending processing.
@@ -23,18 +23,18 @@ public sealed partial class BatchStats public string? PendingRequestCount { get; set; } /// - /// Output only. The number of requests that failed to be processed.
+ /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] + public string? SuccessfulRequestCount { get; set; } /// - /// Output only. The number of requests that were successfully processed.
+ /// Output only. The number of requests in the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } + [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 BatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests in the batch.
+ /// + /// Output only. The number of requests that failed to be 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 that failed to be processed.
- /// Included only in responses - /// /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// + /// + /// Output only. The number of requests in the batch.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( - string? requestCount, - string? pendingRequestCount, string? failedRequestCount, - string? successfulRequestCount) + string? pendingRequestCount, + string? successfulRequestCount, + string? requestCount) { - this.RequestCount = requestCount; - this.PendingRequestCount = pendingRequestCount; this.FailedRequestCount = failedRequestCount; + this.PendingRequestCount = pendingRequestCount; this.SuccessfulRequestCount = successfulRequestCount; + this.RequestCount = requestCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs index 99565cee..b67ea927 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Blob { - /// - /// Raw bytes for media formats. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("data")] - public byte[]? Data { get; set; } - /// /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // /// [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Raw bytes for media formats. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("data")] + public byte[]? Data { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Blob /// /// Initializes a new instance of the class. /// - /// - /// Raw bytes for media formats. - /// /// /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // /// + /// + /// Raw bytes for media formats. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Blob( - byte[]? data, - string? mimeType) + string? mimeType, + byte[]? data) { - this.Data = data; this.MimeType = mimeType; + this.Data = data; } /// 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 cf0657c7..6c9d8008 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 @@ -9,42 +9,35 @@ namespace Google.Gemini public sealed partial class CachedContent { /// - /// Optional. Input only. Immutable. The content to cache. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } - - /// - /// Input only. New TTL for this resource, input only. + /// Output only. Creation time of the cache entry.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] + public string? ExpireTime { get; set; } /// - /// Metadata on the usage of the cached content. + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Output only. When the cache entry was last updated in UTC time.
- /// Included only in responses + /// Optional. Input only. Immutable. The content to cache. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. @@ -53,35 +46,42 @@ public sealed partial class CachedContent public string? DisplayName { get; set; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// Input only. New TTL for this resource, input only. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] + public string? Ttl { get; set; } /// - /// Output only. Creation time of the cache entry.
- /// Included only in responses + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// Metadata on the usage of the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] - public string? ExpireTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -92,74 +92,74 @@ public sealed partial class CachedContent /// /// Initializes a new instance of the class. /// + /// + /// Output only. Creation time of the cache entry.
+ /// Included only in responses + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Metadata on the usage of the cached content. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Output only. When the cache entry was last updated in UTC time.
/// Included only in responses /// + /// + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// /// 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. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Metadata on the usage of the cached content. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Output only. Creation time of the cache entry.
- /// Included only in responses - /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( + string? createTime, + string? expireTime, + string? model, global::System.Collections.Generic.IList? contents, - string? ttl, - string? name, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, + global::System.Collections.Generic.IList? tools, + string? displayName, string? updateTime, + string? name, + string? ttl, global::Google.Gemini.Content? systemInstruction, - string? displayName, - global::Google.Gemini.ToolConfig? toolConfig, - global::System.Collections.Generic.IList? tools, - string? model, - string? createTime, - string? expireTime) + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, + global::Google.Gemini.ToolConfig? toolConfig) { + this.CreateTime = createTime; + this.ExpireTime = expireTime; + this.Model = model; this.Contents = contents; - this.Ttl = ttl; - this.Name = name; - this.UsageMetadata = usageMetadata; + this.Tools = tools; + this.DisplayName = displayName; this.UpdateTime = updateTime; + this.Name = name; + this.Ttl = ttl; this.SystemInstruction = systemInstruction; - this.DisplayName = displayName; + this.UsageMetadata = usageMetadata; this.ToolConfig = toolConfig; - this.Tools = tools; - this.Model = model; - this.CreateTime = createTime; - this.ExpireTime = expireTime; } /// 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 46f138ad..1d48b5c6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs @@ -9,38 +9,44 @@ namespace Google.Gemini public sealed partial class Candidate { /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// Metadata returned to client when grounding is enabled. /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] + public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } /// - /// Output only. Index of the candidate in the list of response candidates.
+ /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
- /// Included only in responses + /// A collection of source attributions for a piece of content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] - public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] + public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Output only. Token count for this candidate.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] - public string? FinishMessage { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] + public int? TokenCount { get; set; } /// - /// Output only. Average log probability score of the 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 /// - [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] - public double? AvgLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishReason")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] + public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } + + /// + /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { 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. @@ -49,31 +55,31 @@ public sealed partial class Candidate public global::Google.Gemini.Content? Content { get; set; } /// - /// A collection of source attributions for a piece of content. + /// 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("citationMetadata")] - public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] + public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } /// - /// Output only. Token count for this candidate.
- /// Included only in responses + /// Metadata related to url context retrieval tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] - public int? TokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] + public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// - /// Metadata returned to client when grounding is enabled. + /// Output only. Index of the candidate in the list of response candidates.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] - public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("index")] + public int? Index { get; set; } /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
+ /// Output only. Average log probability score of the candidate.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishReason")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] - public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] + public double? AvgLogprobs { get; set; } /// /// Logprobs Result @@ -81,12 +87,6 @@ public sealed partial class Candidate [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } - /// - /// Metadata related to url context retrieval tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] - public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -96,28 +96,13 @@ public sealed partial class Candidate /// /// Initializes a new instance of the class. /// - /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. - /// - /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses - /// - /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
- /// 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 /// - /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses - /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// A collection of source attributions for a piece of content. /// @@ -125,48 +110,63 @@ public sealed partial class Candidate /// Output only. Token count for this candidate.
/// Included only in responses /// - /// - /// Metadata returned to client when grounding is enabled. - /// /// /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// - /// - /// Logprobs Result + /// + /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// Included only in responses /// /// /// Metadata related to url context retrieval tool. /// + /// + /// Output only. Index of the candidate in the list of response candidates.
+ /// Included only in responses + /// + /// + /// Output only. Average log probability score of the candidate.
+ /// Included only in responses + /// + /// + /// Logprobs Result + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( - global::System.Collections.Generic.IList? safetyRatings, - int? index, - global::System.Collections.Generic.IList? groundingAttributions, + global::Google.Gemini.GroundingMetadata? groundingMetadata, string? finishMessage, - double? avgLogprobs, - global::Google.Gemini.Content? content, global::Google.Gemini.CitationMetadata? citationMetadata, int? tokenCount, - global::Google.Gemini.GroundingMetadata? groundingMetadata, global::Google.Gemini.CandidateFinishReason? finishReason, - global::Google.Gemini.LogprobsResult? logprobsResult, - global::Google.Gemini.UrlContextMetadata? urlContextMetadata) + global::System.Collections.Generic.IList? safetyRatings, + global::Google.Gemini.Content? content, + global::System.Collections.Generic.IList? groundingAttributions, + global::Google.Gemini.UrlContextMetadata? urlContextMetadata, + int? index, + double? avgLogprobs, + global::Google.Gemini.LogprobsResult? logprobsResult) { - this.SafetyRatings = safetyRatings; - this.Index = index; - this.GroundingAttributions = groundingAttributions; + this.GroundingMetadata = groundingMetadata; this.FinishMessage = finishMessage; - this.AvgLogprobs = avgLogprobs; - this.Content = content; this.CitationMetadata = citationMetadata; this.TokenCount = tokenCount; - this.GroundingMetadata = groundingMetadata; this.FinishReason = finishReason; - this.LogprobsResult = logprobsResult; + this.SafetyRatings = safetyRatings; + this.Content = content; + this.GroundingAttributions = groundingAttributions; this.UrlContextMetadata = urlContextMetadata; + this.Index = index; + this.AvgLogprobs = avgLogprobs; + this.LogprobsResult = logprobsResult; } /// 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 05425f01..f32f66c4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs @@ -8,30 +8,30 @@ namespace Google.Gemini /// public sealed partial class CitationSource { - /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("license")] - public string? License { get; set; } - /// /// 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] - public int? StartIndex { get; set; } - /// /// Optional. URI that is attributed as a source for a portion of the text. /// [global::System.Text.Json.Serialization.JsonPropertyName("uri")] 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("license")] + public string? License { get; set; } + + /// + /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] + public int? StartIndex { get; set; } + /// /// 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. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. - /// /// /// Optional. End of the attributed segment, exclusive. /// - /// - /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. - /// /// /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( - string? license, int? endIndex, - int? startIndex, - string? uri) + string? uri, + string? license, + int? startIndex) { - this.License = license; this.EndIndex = endIndex; - this.StartIndex = startIndex; this.Uri = uri; + this.License = license; + this.StartIndex = startIndex; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs index ed77a91d..8af2a76f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class CodeExecutionResult { - /// - /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. /// @@ -27,6 +21,12 @@ public sealed partial class CodeExecutionResult [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter))] public global::Google.Gemini.CodeExecutionResultOutcome? Outcome { get; set; } + /// + /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class CodeExecutionResult /// /// Initializes a new instance of the class. /// - /// - /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. - /// /// /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. /// /// /// Required. Outcome of the code execution. /// + /// + /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CodeExecutionResult( - string? id, string? output, - global::Google.Gemini.CodeExecutionResultOutcome? outcome) + global::Google.Gemini.CodeExecutionResultOutcome? outcome, + string? id) { - this.Id = id; this.Output = output; this.Outcome = outcome; + this.Id = id; } /// 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 ee375068..391e4a13 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 +8,12 @@ namespace Google.Gemini /// public sealed partial class ComputerUse { + /// + /// Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("excludedPredefinedFunctions")] + public global::System.Collections.Generic.IList? ExcludedPredefinedFunctions { get; set; } + /// /// Required. The environment being operated. /// @@ -15,12 +21,6 @@ public sealed partial class ComputerUse [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter))] public global::Google.Gemini.ComputerUseEnvironment? Environment { get; set; } - /// - /// Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("excludedPredefinedFunctions")] - public global::System.Collections.Generic.IList? ExcludedPredefinedFunctions { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class ComputerUse /// /// Initializes a new instance of the class. /// - /// - /// Required. The environment being operated. - /// /// /// Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. /// + /// + /// Required. The environment being operated. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ComputerUse( - global::Google.Gemini.ComputerUseEnvironment? environment, - global::System.Collections.Generic.IList? excludedPredefinedFunctions) + global::System.Collections.Generic.IList? excludedPredefinedFunctions, + global::Google.Gemini.ComputerUseEnvironment? environment) { - this.Environment = environment; this.ExcludedPredefinedFunctions = excludedPredefinedFunctions; + this.Environment = environment; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs index 37c75a47..2c1f1bec 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Content { - /// - /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("parts")] - public global::System.Collections.Generic.IList? Parts { get; set; } - /// /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. /// [global::System.Text.Json.Serialization.JsonPropertyName("role")] public string? Role { get; set; } + /// + /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parts")] + public global::System.Collections.Generic.IList? Parts { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Content /// /// Initializes a new instance of the class. /// - /// - /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. - /// /// /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. /// + /// + /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Content( - global::System.Collections.Generic.IList? parts, - string? role) + string? role, + global::System.Collections.Generic.IList? parts) { - this.Parts = parts; this.Role = role; + this.Parts = parts; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs index 8cea29e5..78e59839 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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class Corpus { - /// - /// Output only. The Timestamp of when the `Corpus` was last updated.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } - /// /// 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 @@ -35,6 +28,13 @@ public sealed partial class Corpus [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 + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,10 +44,6 @@ public sealed partial class Corpus /// /// Initializes a new instance of the class. /// - /// - /// Output only. The Timestamp of when the `Corpus` was last updated.
- /// Included only in responses - /// /// /// 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 @@ -59,19 +55,23 @@ public sealed partial class Corpus /// 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 + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( - string? updateTime, string? name, string? displayName, - string? createTime) + string? createTime, + string? updateTime) { - this.UpdateTime = updateTime; this.Name = name; this.DisplayName = displayName; this.CreateTime = createTime; + this.UpdateTime = updateTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensRequest.g.cs index aae3f863..f287bd8a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class CountTokensRequest { - /// - /// Request to generate a completion from the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("generateContentRequest")] - public global::Google.Gemini.GenerateContentRequest? GenerateContentRequest { get; set; } - /// /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. /// [global::System.Text.Json.Serialization.JsonPropertyName("contents")] public global::System.Collections.Generic.IList? Contents { get; set; } + /// + /// Request to generate a completion from the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("generateContentRequest")] + public global::Google.Gemini.GenerateContentRequest? GenerateContentRequest { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class CountTokensRequest /// /// Initializes a new instance of the class. /// - /// - /// Request to generate a completion from the model. - /// /// /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. /// + /// + /// Request to generate a completion from the model. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensRequest( - global::Google.Gemini.GenerateContentRequest? generateContentRequest, - global::System.Collections.Generic.IList? contents) + global::System.Collections.Generic.IList? contents, + global::Google.Gemini.GenerateContentRequest? generateContentRequest) { - this.GenerateContentRequest = generateContentRequest; this.Contents = contents; + this.GenerateContentRequest = generateContentRequest; } /// 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 387bd46b..af9906bc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class CountTokensResponse { - /// - /// 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; } - /// /// Number of tokens in the cached part of the prompt (the cached content). /// @@ -21,18 +15,24 @@ public sealed partial class CountTokensResponse public int? CachedContentTokenCount { get; set; } /// - /// Output only. List of modalities that were processed in the request input.
+ /// Output only. List of modalities that were processed in the cached content.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } /// - /// Output only. List of modalities that were processed in the cached content.
+ /// 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 request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// /// 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 - /// /// /// Output only. List of modalities that were processed in the cached content.
/// Included only in responses /// + /// + /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// + /// + /// Output only. List of modalities that were processed in the request input.
+ /// Included only in responses + /// #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) + global::System.Collections.Generic.IList? cacheTokensDetails, + int? totalTokens, + global::System.Collections.Generic.IList? promptTokensDetails) { - this.TotalTokens = totalTokens; this.CachedContentTokenCount = cachedContentTokenCount; - this.PromptTokensDetails = promptTokensDetails; this.CacheTokensDetails = cacheTokensDetails; + this.TotalTokens = totalTokens; + this.PromptTokensDetails = promptTokensDetails; } /// 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 7c58de00..08c5efed 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 @@ -14,6 +14,12 @@ public sealed partial class CustomLongRunningOperation [global::System.Text.Json.Serialization.JsonPropertyName("response")] public object? Response { get; set; } + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { 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}`. /// @@ -26,12 +32,6 @@ public sealed partial class CustomLongRunningOperation [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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { 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. /// @@ -50,15 +50,15 @@ 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`. /// + /// + /// 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}`. /// /// /// 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. - /// /// /// 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. /// @@ -67,15 +67,15 @@ public sealed partial class CustomLongRunningOperation #endif public CustomLongRunningOperation( object? response, + bool? done, string? name, global::Google.Gemini.Status? error, - bool? done, object? metadata) { this.Response = response; + this.Done = done; this.Name = name; this.Error = error; - this.Done = done; this.Metadata = metadata; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs index 079fa254..2767ae31 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs @@ -9,11 +9,17 @@ namespace Google.Gemini public sealed partial class Document { /// - /// Output only. The Timestamp of when the `Document` was last updated.
+ /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Output only. The mime type of the Document.
/// Included only in responses /// - [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. Current state of the `Document`.
@@ -30,24 +36,18 @@ public sealed partial class Document public string? DisplayName { 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. The size of raw bytes ingested into the Document.
+ /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } - - /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. @@ -56,11 +56,11 @@ public sealed partial class Document public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// - /// Output only. The mime type of the Document.
+ /// Output only. The size of raw bytes ingested into the Document.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,8 +71,11 @@ public sealed partial class Document /// /// Initializes a new instance of the class. /// - /// - /// Output only. The Timestamp of when the `Document` was last updated.
+ /// + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// + /// + /// Output only. The mime type of the Document.
/// Included only in responses /// /// @@ -82,45 +85,42 @@ public sealed partial class Document /// /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" /// - /// - /// Output only. The Timestamp of when the `Document` was created.
+ /// + /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// - /// - /// Output only. The size of raw bytes ingested into the Document.
+ /// + /// Output only. The Timestamp of when the `Document` was created.
/// 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 mime type of the Document.
+ /// + /// Output only. The size of raw bytes ingested into the Document.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - string? updateTime, + string? name, + string? mimeType, global::Google.Gemini.DocumentState? state, string? displayName, + string? updateTime, string? createTime, - string? sizeBytes, - string? name, global::System.Collections.Generic.IList? customMetadata, - string? mimeType) + string? sizeBytes) { - this.UpdateTime = updateTime; + this.Name = name; + this.MimeType = mimeType; this.State = state; this.DisplayName = displayName; + this.UpdateTime = updateTime; this.CreateTime = createTime; - this.SizeBytes = sizeBytes; - this.Name = name; this.CustomMetadata = customMetadata; - this.MimeType = mimeType; + this.SizeBytes = sizeBytes; } /// 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 9d3e798a..cb593d3f 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 @@ -9,29 +9,29 @@ namespace Google.Gemini public sealed partial class EmbedContentBatch { /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } /// - /// Configures the input to the batch request. + /// Output only. The time at which the batch was created.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Stats about the batch. + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// Output only. The state of the batch.
@@ -42,43 +42,43 @@ public sealed partial class EmbedContentBatch public global::Google.Gemini.EmbedContentBatchState? State { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { 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; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [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. + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. The time at which the batch processing completed.
+ /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,27 +89,6 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Required. The user-defined name of this batch. - /// - /// - /// Configures the input to the batch request. - /// - /// - /// Stats about the batch. - /// - /// - /// 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 - /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses - /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// @@ -117,9 +96,19 @@ public sealed partial class EmbedContentBatch /// Output only. The time at which the batch was created.
/// Included only in responses /// + /// + /// Configures the input to the batch request. + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Output only. The state of the batch.
+ /// Included only in responses + /// + /// + /// Stats about the batch. + /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// @@ -127,33 +116,44 @@ public sealed partial class EmbedContentBatch /// Output only. The time at which the batch processing completed.
/// Included only in responses /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// 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 + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( - string? displayName, - global::Google.Gemini.InputEmbedContentConfig? inputConfig, - global::Google.Gemini.EmbedContentBatchStats? batchStats, - string? updateTime, - global::Google.Gemini.EmbedContentBatchState? state, - string? name, global::Google.Gemini.EmbedContentBatchOutput? output, string? createTime, + global::Google.Gemini.InputEmbedContentConfig? inputConfig, string? model, + global::Google.Gemini.EmbedContentBatchState? state, + global::Google.Gemini.EmbedContentBatchStats? batchStats, string? priority, - string? endTime) + string? endTime, + string? displayName, + string? updateTime, + string? name) { - this.DisplayName = displayName; - this.InputConfig = inputConfig; - this.BatchStats = batchStats; - this.UpdateTime = updateTime; - this.State = state; - this.Name = name; this.Output = output; this.CreateTime = createTime; + this.InputConfig = inputConfig; this.Model = model; + this.State = state; + this.BatchStats = batchStats; this.Priority = priority; this.EndTime = endTime; + this.DisplayName = displayName; + this.UpdateTime = updateTime; + this.Name = name; } /// 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 4250e8e1..ed4da121 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 @@ -9,32 +9,32 @@ namespace Google.Gemini public sealed partial class EmbedContentBatchStats { /// - /// Output only. The number of requests in the batch.
+ /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { 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 failed to be processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] - public string? PendingRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } /// - /// Output only. The number of requests that were successfully processed.
+ /// Output only. The number of requests in the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] + public string? RequestCount { get; set; } /// - /// Output only. The number of requests that failed to be processed.
+ /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] + public string? SuccessfulRequestCount { get; set; } /// /// 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 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 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 + /// + /// + /// Output only. The number of requests that were successfully processed.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchStats( - string? requestCount, string? pendingRequestCount, - string? successfulRequestCount, - string? failedRequestCount) + string? failedRequestCount, + string? requestCount, + string? successfulRequestCount) { - this.RequestCount = requestCount; this.PendingRequestCount = pendingRequestCount; - this.SuccessfulRequestCount = successfulRequestCount; this.FailedRequestCount = failedRequestCount; + this.RequestCount = requestCount; + this.SuccessfulRequestCount = successfulRequestCount; } /// 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 db199829..a83a5050 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 +9,16 @@ namespace Google.Gemini public sealed partial class EmbedContentConfig { /// - /// Optional. Whether to enable OCR for document content. + /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// - [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] - public bool? DocumentOcr { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] + public bool? AutoTruncate { get; set; } /// - /// Optional. The task type of the embedding. + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// - [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; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + public int? OutputDimensionality { get; set; } /// /// Optional. The title for the text. @@ -28,22 +27,23 @@ public sealed partial class EmbedContentConfig public string? Title { get; set; } /// - /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. + /// Optional. The task type of the embedding. /// - [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] - public bool? AutoTruncate { get; set; } + [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. Whether to extract audio from video content. + /// Optional. Whether to enable OCR for document content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] - public bool? AudioTrackExtraction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] + public bool? DocumentOcr { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - public int? OutputDimensionality { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] + public bool? AudioTrackExtraction { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -54,41 +54,41 @@ public sealed partial class EmbedContentConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. Whether to enable OCR for document content. + /// + /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// - /// - /// Optional. The task type of the embedding. + /// + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// /// /// Optional. The title for the text. /// - /// - /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. + /// + /// Optional. The task type of the embedding. + /// + /// + /// Optional. Whether to enable OCR for document content. /// /// /// 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. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentConfig( - bool? documentOcr, - global::Google.Gemini.EmbedContentConfigTaskType? taskType, - string? title, bool? autoTruncate, - bool? audioTrackExtraction, - int? outputDimensionality) + int? outputDimensionality, + string? title, + global::Google.Gemini.EmbedContentConfigTaskType? taskType, + bool? documentOcr, + bool? audioTrackExtraction) { - this.DocumentOcr = documentOcr; - this.TaskType = taskType; - this.Title = title; this.AutoTruncate = autoTruncate; - this.AudioTrackExtraction = audioTrackExtraction; this.OutputDimensionality = outputDimensionality; + this.Title = title; + this.TaskType = taskType; + this.DocumentOcr = documentOcr; + this.AudioTrackExtraction = audioTrackExtraction; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs index 83bf9c42..421c9870 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs @@ -10,12 +10,6 @@ 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { 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. /// @@ -23,12 +17,6 @@ public sealed partial class EmbedContentRequest [global::System.Obsolete("This property marked as deprecated.")] public string? Title { get; set; } - /// - /// Configurations for the EmbedContent request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("embedContentConfig")] - public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { 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`). /// @@ -38,11 +26,10 @@ public sealed partial class EmbedContentRequest public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } /// - /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). + /// Configurations for the EmbedContent request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - [global::System.Obsolete("This property marked as deprecated.")] - public int? OutputDimensionality { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("embedContentConfig")] + public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { get; set; } /// /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` @@ -50,6 +37,19 @@ public sealed partial class EmbedContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("model")] public string? Model { get; set; } + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } + + /// + /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + [global::System.Obsolete("This property marked as deprecated.")] + public int? OutputDimensionality { get; set; } + /// /// 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.EmbeddingUsageMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs index 3be926cd..5c161b4e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class EmbeddingUsageMetadata { /// - /// Output only. List of modalities that were processed in the request input.
+ /// Output only. Number of tokens in the prompt.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenDetails")] - public global::System.Collections.Generic.IList? PromptTokenDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } /// - /// Output only. Number of tokens in the prompt.
+ /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] - public int? PromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenDetails")] + public global::System.Collections.Generic.IList? PromptTokenDetails { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class EmbeddingUsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses - /// /// /// Output only. Number of tokens in the prompt.
/// Included only in responses /// + /// + /// Output only. List of modalities that were processed in the request input.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbeddingUsageMetadata( - global::System.Collections.Generic.IList? promptTokenDetails, - int? promptTokenCount) + int? promptTokenCount, + global::System.Collections.Generic.IList? promptTokenDetails) { - this.PromptTokenDetails = promptTokenDetails; this.PromptTokenCount = promptTokenCount; + this.PromptTokenDetails = promptTokenDetails; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs index 4f2c65f2..d55de6aa 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs @@ -14,12 +14,6 @@ public sealed partial class ExecutableCode [global::System.Text.Json.Serialization.JsonPropertyName("code")] public string? Code { get; set; } - /// - /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Required. Programming language of the `code`. /// @@ -27,6 +21,12 @@ public sealed partial class ExecutableCode [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter))] public global::Google.Gemini.ExecutableCodeLanguage? Language { get; set; } + /// + /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,23 +39,23 @@ public sealed partial class ExecutableCode /// /// Required. The code to be executed. /// - /// - /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. - /// /// /// Required. Programming language of the `code`. /// + /// + /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ExecutableCode( string? code, - string? id, - global::Google.Gemini.ExecutableCodeLanguage? language) + global::Google.Gemini.ExecutableCodeLanguage? language, + string? id) { this.Code = code; - this.Id = id; this.Language = language; + this.Id = id; } /// 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 b41638f7..92e3de13 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 @@ -9,25 +9,24 @@ namespace Google.Gemini public sealed partial class File { /// - /// Output only. MIME type 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("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Source of the File. + /// Output only. The timestamp of when the `File` was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter))] - public global::Google.Gemini.FileSource? Source { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. Size of the file in bytes.
+ /// Output only. MIME type of the file.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } /// /// Output only. The uri of the `File`.
@@ -37,37 +36,36 @@ public sealed partial class File 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" + /// 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("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// - /// Output only. The download uri of the `File`.
+ /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] - public string? DownloadUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Output only. Size of the file in bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] - public byte[]? Sha256Hash { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { 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. The timestamp of when the `File` was created.
- /// Included only in responses + /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
@@ -77,23 +75,18 @@ public sealed partial class File public string? ExpirationTime { 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` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Metadata for a video `File`. + /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] + public byte[]? Sha256Hash { get; set; } /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// Output only. The download uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { get; set; } /// /// Output only. Processing state of the File.
@@ -103,6 +96,13 @@ public sealed partial class File [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] public global::Google.Gemini.FileState? State { get; set; } + /// + /// 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -112,32 +112,21 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// - /// - /// Output only. MIME type 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. + /// + /// Output only. The timestamp of when the `File` was last updated.
+ /// Included only in responses /// - /// - /// Output only. Size of the file in bytes.
+ /// + /// Output only. MIME type of the file.
/// Included only in responses /// /// /// Output only. The 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" - /// - /// - /// Output only. The download uri of the `File`.
- /// Included only in responses - /// - /// - /// Output only. SHA-256 hash of the uploaded 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). /// @@ -145,57 +134,68 @@ public sealed partial class File /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// + /// Output only. Size of the file in bytes.
/// Included only in responses /// + /// + /// Metadata for a video `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` /// - /// - /// Metadata for a video `File`. + /// + /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Included only in responses /// - /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// + /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Included only in responses + /// + /// + /// Output only. The download uri of the `File`.
/// Included only in responses /// /// /// Output only. Processing state of the File.
/// Included only in responses /// + /// + /// Source of the File. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( + string? displayName, + string? updateTime, string? mimeType, - global::Google.Gemini.FileSource? source, - string? sizeBytes, string? uri, - string? displayName, - string? downloadUri, - byte[]? sha256Hash, global::Google.Gemini.Status? error, string? createTime, - string? expirationTime, - string? name, + string? sizeBytes, global::Google.Gemini.VideoFileMetadata? videoMetadata, - string? updateTime, - global::Google.Gemini.FileState? state) + string? name, + string? expirationTime, + byte[]? sha256Hash, + string? downloadUri, + global::Google.Gemini.FileState? state, + global::Google.Gemini.FileSource? source) { + this.DisplayName = displayName; + this.UpdateTime = updateTime; this.MimeType = mimeType; - this.Source = source; - this.SizeBytes = sizeBytes; this.Uri = uri; - this.DisplayName = displayName; - this.DownloadUri = downloadUri; - this.Sha256Hash = sha256Hash; this.Error = error; this.CreateTime = createTime; - this.ExpirationTime = expirationTime; - this.Name = name; + this.SizeBytes = sizeBytes; this.VideoMetadata = videoMetadata; - this.UpdateTime = updateTime; + this.Name = name; + this.ExpirationTime = expirationTime; + this.Sha256Hash = sha256Hash; + this.DownloadUri = downloadUri; this.State = state; + this.Source = source; } /// 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 1dbcfc10..4f1999e3 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FileSearch { - /// - /// 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. /// @@ -26,6 +20,12 @@ public sealed partial class FileSearch [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStoreNames")] public global::System.Collections.Generic.IList? FileSearchStoreNames { get; set; } + /// + /// Optional. The number of semantic retrieval chunks to retrieve. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FileSearch /// /// Initializes a new instance of the class. /// - /// - /// Optional. The number of semantic retrieval chunks to retrieve. - /// /// /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// + /// + /// Optional. The number of semantic retrieval chunks to retrieve. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( - int? topK, string? metadataFilter, - global::System.Collections.Generic.IList? fileSearchStoreNames) + global::System.Collections.Generic.IList? fileSearchStoreNames, + int? topK) { - this.TopK = topK; this.MetadataFilter = metadataFilter; this.FileSearchStoreNames = fileSearchStoreNames; + this.TopK = topK; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs index 4a6b3c7f..3ec9011a 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 @@ -16,18 +16,18 @@ public sealed partial class FileSearchStore public string? Name { get; set; } /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] + public string? ActiveDocumentsCount { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] - public string? PendingDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// /// 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" @@ -43,25 +43,25 @@ public sealed partial class FileSearchStore public string? CreateTime { 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; } /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] - public string? ActiveDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] + public string? PendingDocumentsCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -76,12 +76,12 @@ public sealed partial class FileSearchStore /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
/// Included only in responses /// - /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// + /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// /// @@ -91,16 +91,16 @@ public sealed partial class FileSearchStore /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - /// - /// 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 last updated.
/// Included only in responses /// - /// - /// 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 + /// + /// + /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// #if NET7_0_OR_GREATER @@ -108,22 +108,22 @@ public sealed partial class FileSearchStore #endif public FileSearchStore( string? name, + string? activeDocumentsCount, string? sizeBytes, - string? pendingDocumentsCount, string? displayName, string? createTime, - string? failedDocumentsCount, string? updateTime, - string? activeDocumentsCount) + string? failedDocumentsCount, + string? pendingDocumentsCount) { this.Name = name; + this.ActiveDocumentsCount = activeDocumentsCount; this.SizeBytes = sizeBytes; - this.PendingDocumentsCount = pendingDocumentsCount; this.DisplayName = displayName; this.CreateTime = createTime; - this.FailedDocumentsCount = failedDocumentsCount; this.UpdateTime = updateTime; - this.ActiveDocumentsCount = activeDocumentsCount; + this.FailedDocumentsCount = failedDocumentsCount; + this.PendingDocumentsCount = pendingDocumentsCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs index e2ad38ad..f79aead3 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class FunctionCall { + /// + /// Optional. The function parameters and values in JSON object format. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("args")] + public object? Args { 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. /// @@ -20,12 +26,6 @@ public sealed partial class FunctionCall [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } - /// - /// Optional. The function parameters and values in JSON object format. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("args")] - public object? Args { get; set; } - /// /// 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. /// + /// + /// Optional. The function parameters and values in JSON object format. + /// /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// /// /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. /// - /// - /// Optional. The function parameters and values in JSON object format. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( + object? args, string? name, - string? id, - object? args) + string? id) { + this.Args = args; this.Name = name; this.Id = id; - this.Args = args; } /// 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 34bb1ab5..4f2fd763 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FunctionCallingConfig { - /// - /// Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("allowedFunctionNames")] - public global::System.Collections.Generic.IList? AllowedFunctionNames { get; set; } - /// /// Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO. /// @@ -21,6 +15,12 @@ public sealed partial class FunctionCallingConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter))] public global::Google.Gemini.FunctionCallingConfigMode? Mode { get; set; } + /// + /// Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("allowedFunctionNames")] + public global::System.Collections.Generic.IList? AllowedFunctionNames { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class FunctionCallingConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names. - /// /// /// Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO. /// + /// + /// Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCallingConfig( - global::System.Collections.Generic.IList? allowedFunctionNames, - global::Google.Gemini.FunctionCallingConfigMode? mode) + global::Google.Gemini.FunctionCallingConfigMode? mode, + global::System.Collections.Generic.IList? allowedFunctionNames) { - this.AllowedFunctionNames = allowedFunctionNames; this.Mode = mode; + this.AllowedFunctionNames = allowedFunctionNames; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs index 989a3ae6..c4c90c5d 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 @@ -9,22 +9,16 @@ namespace Google.Gemini public sealed partial class FunctionDeclaration { /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] - public global::Google.Gemini.Schema? Parameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] + public object? ParametersJsonSchema { get; set; } /// - /// 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`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). @@ -40,16 +34,22 @@ public sealed partial class FunctionDeclaration public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { 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`. + /// Required. A brief description of the function. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] - public object? ParametersJsonSchema { get; set; } + [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`. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] + public global::Google.Gemini.Schema? Parameters { get; set; } + + /// + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -60,14 +60,11 @@ public sealed partial class FunctionDeclaration /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. - /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. /// - /// - /// 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`. /// /// /// 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). @@ -75,31 +72,34 @@ public sealed partial class FunctionDeclaration /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// - /// - /// 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`. + /// + /// 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`. + /// + /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( - string? name, - global::Google.Gemini.Schema? parameters, - string? description, + object? parametersJsonSchema, + object? responseJsonSchema, global::Google.Gemini.Schema? response, global::Google.Gemini.FunctionDeclarationBehavior? behavior, - object? parametersJsonSchema, - object? responseJsonSchema) + string? description, + global::Google.Gemini.Schema? parameters, + string? name) { - this.Name = name; - this.Parameters = parameters; - this.Description = description; - this.Response = response; - this.Behavior = behavior; this.ParametersJsonSchema = parametersJsonSchema; this.ResponseJsonSchema = responseJsonSchema; + this.Response = response; + this.Behavior = behavior; + this.Description = description; + this.Parameters = parameters; + this.Name = name; } /// 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 954b2c3d..27685cf2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs @@ -9,10 +9,16 @@ namespace Google.Gemini public sealed partial class FunctionResponse { /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parts")] - public global::System.Collections.Generic.IList? Parts { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } + + /// + /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } /// /// 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`. @@ -20,6 +26,12 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] public bool? WillContinue { get; set; } + /// + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// + [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. /// @@ -33,18 +45,6 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } - /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - - /// - /// 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -54,41 +54,41 @@ public sealed partial class FunctionResponse /// /// Initializes a new instance of the class. /// - /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// + /// 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. + /// + /// + /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// /// /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// + /// + /// Optional. 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. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// - /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. - /// - /// - /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( - global::System.Collections.Generic.IList? parts, + object? response, + string? id, bool? willContinue, + global::System.Collections.Generic.IList? parts, string? name, - global::Google.Gemini.FunctionResponseScheduling? scheduling, - string? id, - object? response) + global::Google.Gemini.FunctionResponseScheduling? scheduling) { - this.Parts = parts; + this.Response = response; + this.Id = id; this.WillContinue = willContinue; + this.Parts = parts; this.Name = name; this.Scheduling = scheduling; - this.Id = id; - this.Response = response; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs index d727aa3e..68b61c64 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FunctionResponseBlob { - /// - /// Raw bytes for media formats. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("data")] - public byte[]? Data { get; set; } - /// /// The IANA standard MIME type of the source data. Examples: - 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). /// [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Raw bytes for media formats. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("data")] + public byte[]? Data { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class FunctionResponseBlob /// /// Initializes a new instance of the class. /// - /// - /// Raw bytes for media formats. - /// /// /// 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). /// + /// + /// Raw bytes for media formats. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponseBlob( - byte[]? data, - string? mimeType) + string? mimeType, + byte[]? data) { - this.Data = data; this.MimeType = mimeType; + this.Data = data; } /// 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 a7a897f5..a3e70bb9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs @@ -9,43 +9,45 @@ namespace Google.Gemini public sealed partial class GenerateContentBatch { /// - /// Output only. The time at which the batch processing completed.
+ /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [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. + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// Output only. The time at which the batch processing completed.
+ /// 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("endTime")] + public string? EndTime { get; set; } /// - /// Output only. The time at which the batch was created.
- /// 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("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// 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.GenerateContentBatchStateJsonConverter))] + public global::Google.Gemini.GenerateContentBatchState? State { get; set; } /// /// Stats about the batch. @@ -54,25 +56,17 @@ public sealed partial class GenerateContentBatch public global::Google.Gemini.BatchStats? BatchStats { get; set; } /// - /// Output only. The time at which the batch was last updated.
- /// 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("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } /// - /// Output only. The state of the batch.
+ /// Output only. The time at which the batch was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] - public global::Google.Gemini.GenerateContentBatchState? State { get; set; } - - /// - /// Required. The user-defined name of this batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Configures the input to the batch request. @@ -80,6 +74,12 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] public global::Google.Gemini.InputConfig? InputConfig { get; set; } + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -89,6 +89,17 @@ public sealed partial class GenerateContentBatch /// /// Initializes a new instance of the class. /// + /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses + /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses + /// /// /// Output only. The time at which the batch processing completed.
/// Included only in responses @@ -96,64 +107,53 @@ public sealed partial class GenerateContentBatch /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// - /// - /// Output only. The time at which the batch was created.
- /// Included only in responses - /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// + /// Output only. The state of the batch.
/// Included only in responses /// /// /// Stats about the batch. /// - /// - /// Output only. The time at which the batch was last updated.
- /// 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 state of the batch.
+ /// + /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// Required. The user-defined name of this batch. - /// /// /// Configures the input to the batch request. /// + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( + string? name, + string? displayName, + string? updateTime, string? endTime, string? model, + global::Google.Gemini.GenerateContentBatchState? state, + global::Google.Gemini.BatchStats? batchStats, string? priority, - global::Google.Gemini.GenerateContentBatchOutput? output, string? createTime, - string? name, - global::Google.Gemini.BatchStats? batchStats, - string? updateTime, - global::Google.Gemini.GenerateContentBatchState? state, - string? displayName, - global::Google.Gemini.InputConfig? inputConfig) + global::Google.Gemini.InputConfig? inputConfig, + global::Google.Gemini.GenerateContentBatchOutput? output) { + this.Name = name; + this.DisplayName = displayName; + this.UpdateTime = updateTime; this.EndTime = endTime; this.Model = model; + this.State = state; + this.BatchStats = batchStats; this.Priority = priority; - this.Output = output; this.CreateTime = createTime; - this.Name = name; - this.BatchStats = batchStats; - this.UpdateTime = updateTime; - this.State = state; - this.DisplayName = displayName; this.InputConfig = inputConfig; + this.Output = output; } /// 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 22b9304d..26645257 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 @@ -9,29 +9,10 @@ namespace Google.Gemini public sealed partial class GenerateContentRequest { /// - /// 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("cachedContent")] - public string? CachedContent { 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; } - - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } - - /// - /// Optional. The service tier of the request. + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] - public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] + public global::Google.Gemini.GenerationConfig? GenerationConfig { 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 +21,22 @@ public sealed partial class GenerateContentRequest public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] - public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// 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("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] + public string? CachedContent { 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. + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + 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. @@ -63,12 +44,31 @@ public sealed partial class GenerateContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] public global::System.Collections.Generic.IList? SafetySettings { 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. 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("store")] public bool? Store { get; set; } + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { 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. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// The 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. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. The service tier of the request. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. 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}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// The 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. 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. + /// + /// + /// Optional. The service tier of the request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( - string? cachedContent, - global::Google.Gemini.Content? systemInstruction, - global::Google.Gemini.ToolConfig? toolConfig, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, - global::System.Collections.Generic.IList? contents, global::Google.Gemini.GenerationConfig? generationConfig, - string? model, + global::System.Collections.Generic.IList? contents, global::System.Collections.Generic.IList? tools, + string? cachedContent, + string? model, global::System.Collections.Generic.IList? safetySettings, - bool? store) + global::Google.Gemini.Content? systemInstruction, + bool? store, + global::Google.Gemini.ToolConfig? toolConfig, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier) { - this.CachedContent = cachedContent; - this.SystemInstruction = systemInstruction; - this.ToolConfig = toolConfig; - this.ServiceTier = serviceTier; - this.Contents = contents; this.GenerationConfig = generationConfig; - this.Model = model; + this.Contents = contents; this.Tools = tools; + this.CachedContent = cachedContent; + this.Model = model; this.SafetySettings = safetySettings; + this.SystemInstruction = systemInstruction; this.Store = store; + this.ToolConfig = toolConfig; + 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 a45cf8c5..55185458 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 @@ -9,23 +9,29 @@ namespace Google.Gemini public sealed partial class GenerateContentResponse { /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] - public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] + public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } /// - /// Output only. response_id is used to identify each response.
+ /// Metadata on the generation request's token usage. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } + + /// + /// Output only. The model version used to generate the response.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] - public string? ResponseId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] + public string? ModelVersion { 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. + /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] - public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] + public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } /// /// Candidate responses from the model. @@ -34,17 +40,11 @@ public sealed partial class GenerateContentResponse public global::System.Collections.Generic.IList? Candidates { get; set; } /// - /// Metadata on the generation request's token usage. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } - - /// - /// Output only. The model version used to generate the response.
+ /// Output only. response_id is used to identify each response.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] - public string? ModelVersion { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] + public string? ResponseId { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -55,19 +55,9 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// - /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. - /// - /// - /// Output only. response_id is used to identify each response.
- /// Included only in responses - /// /// /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// - /// - /// Candidate responses from the model. - /// /// /// Metadata on the generation request's token usage. /// @@ -75,23 +65,33 @@ public sealed partial class GenerateContentResponse /// Output only. The model version used to generate the response.
/// Included only in responses /// + /// + /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// + /// + /// Candidate responses from the model. + /// + /// + /// Output only. response_id is used to identify each response.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( - global::Google.Gemini.PromptFeedback? promptFeedback, - string? responseId, global::Google.Gemini.ModelStatus? modelStatus, - global::System.Collections.Generic.IList? candidates, global::Google.Gemini.UsageMetadata? usageMetadata, - string? modelVersion) + string? modelVersion, + global::Google.Gemini.PromptFeedback? promptFeedback, + global::System.Collections.Generic.IList? candidates, + string? responseId) { - this.PromptFeedback = promptFeedback; - this.ResponseId = responseId; this.ModelStatus = modelStatus; - this.Candidates = candidates; this.UsageMetadata = usageMetadata; this.ModelVersion = modelVersion; + this.PromptFeedback = promptFeedback; + this.Candidates = candidates; + this.ResponseId = responseId; } /// 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 bf7e7d4c..748d9a6a 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 @@ -9,34 +9,22 @@ namespace Google.Gemini public sealed partial class GenerationConfig { /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] - public float? FrequencyPenalty { get; set; } - - /// - /// Optional. If true, export the logprobs results in response. - /// - [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. + /// 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("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { 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. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] - public string? ResponseMimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { get; set; } /// - /// Config for image generation features. + /// 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("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] + public float? PresencePenalty { get; set; } /// /// Config for thinking features. @@ -45,29 +33,22 @@ public sealed partial class GenerationConfig public global::Google.Gemini.ThinkingConfig? ThinkingConfig { 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("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { get; set; } - - /// - /// Optional. If specified, the media resolution specified will be used. + /// 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("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("responseMimeType")] + public string? ResponseMimeType { 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. If true, export the logprobs results in response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] + public bool? ResponseLogprobs { get; set; } /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// Optional. 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("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. @@ -76,16 +57,10 @@ public sealed partial class GenerationConfig public int? TopK { get; set; } /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] - public int? Logprobs { get; set; } - - /// - /// Optional. 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. 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("presencePenalty")] - public float? PresencePenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] + public global::System.Collections.Generic.IList? StopSequences { 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. @@ -94,22 +69,29 @@ public sealed partial class GenerationConfig public global::System.Collections.Generic.IList? ResponseModalities { get; set; } /// - /// 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]. /// - [global::System.Text.Json.Serialization.JsonPropertyName("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] + public int? CandidateCount { get; set; } /// - /// Optional. 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 image generation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] - public global::System.Collections.Generic.IList? StopSequences { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + + /// + /// Optional. If specified, the media resolution specified will be used. + /// + [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; } /// /// Config for speech generation and transcription. @@ -118,10 +100,10 @@ public sealed partial class GenerationConfig public global::Google.Gemini.SpeechConfig? SpeechConfig { 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) + /// 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("candidateCount")] - public int? CandidateCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] + public global::Google.Gemini.Schema? ResponseSchema { get; set; } /// /// Optional. Enables enhanced civic answers. It may not be available for all models. @@ -129,6 +111,24 @@ public sealed partial class GenerationConfig [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] public bool? EnableEnhancedCivicAnswers { get; set; } + /// + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] + public int? MaxOutputTokens { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] + public float? FrequencyPenalty { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -138,111 +138,111 @@ public sealed partial class GenerationConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. - /// - /// - /// Optional. If true, export the logprobs results in response. - /// - /// - /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// Optional. 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. /// - /// - /// Config for image generation features. + /// + /// 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 thinking features. /// - /// - /// 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. If specified, the media resolution specified will be used. + /// + /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// - /// - /// Optional. The maximum number of tokens to 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. 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. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// /// /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - /// - /// Optional. 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. 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. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. /// /// /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// - /// - /// 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. An internal detail. Use `responseJsonSchema` rather than this field. + /// + /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - /// - /// Optional. 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 image generation features. + /// + /// + /// Optional. If specified, the media resolution specified will be used. /// /// /// Config for speech generation and transcription. /// - /// - /// 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) + /// + /// 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. Enables enhanced civic answers. It may not be available for all models. /// + /// + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// + /// + /// 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. 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - float? frequencyPenalty, + float? temperature, + int? seed, + float? presencePenalty, + global::Google.Gemini.ThinkingConfig? thinkingConfig, + string? responseMimeType, bool? responseLogprobs, float? topP, - string? responseMimeType, - global::Google.Gemini.ImageConfig? imageConfig, - global::Google.Gemini.ThinkingConfig? thinkingConfig, - global::Google.Gemini.Schema? responseSchema, - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, - int? maxOutputTokens, - float? temperature, int? topK, - int? logprobs, - float? presencePenalty, - global::System.Collections.Generic.IList? responseModalities, - int? seed, - object? responseJsonSchema, global::System.Collections.Generic.IList? stopSequences, - global::Google.Gemini.SpeechConfig? speechConfig, + global::System.Collections.Generic.IList? responseModalities, + int? logprobs, int? candidateCount, - bool? enableEnhancedCivicAnswers) + global::Google.Gemini.ImageConfig? imageConfig, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, + global::Google.Gemini.SpeechConfig? speechConfig, + global::Google.Gemini.Schema? responseSchema, + bool? enableEnhancedCivicAnswers, + object? responseJsonSchema, + int? maxOutputTokens, + float? frequencyPenalty) { - this.FrequencyPenalty = frequencyPenalty; + this.Temperature = temperature; + this.Seed = seed; + this.PresencePenalty = presencePenalty; + this.ThinkingConfig = thinkingConfig; + this.ResponseMimeType = responseMimeType; this.ResponseLogprobs = responseLogprobs; this.TopP = topP; - this.ResponseMimeType = responseMimeType; - this.ImageConfig = imageConfig; - this.ThinkingConfig = thinkingConfig; - this.ResponseSchema = responseSchema; - this.MediaResolution = mediaResolution; - this.MaxOutputTokens = maxOutputTokens; - this.Temperature = temperature; this.TopK = topK; - this.Logprobs = logprobs; - this.PresencePenalty = presencePenalty; - this.ResponseModalities = responseModalities; - this.Seed = seed; - this.ResponseJsonSchema = responseJsonSchema; this.StopSequences = stopSequences; - this.SpeechConfig = speechConfig; + this.ResponseModalities = responseModalities; + this.Logprobs = logprobs; this.CandidateCount = candidateCount; + this.ImageConfig = imageConfig; + this.MediaResolution = mediaResolution; + this.SpeechConfig = speechConfig; + this.ResponseSchema = responseSchema; this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; + this.ResponseJsonSchema = responseJsonSchema; + this.MaxOutputTokens = maxOutputTokens; + this.FrequencyPenalty = frequencyPenalty; } /// 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 53b770ea..f87dfcfd 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport { + /// + /// Segment of the content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("segment")] + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { 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. /// @@ -15,10 +21,10 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } /// - /// 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). /// - [global::System.Text.Json.Serialization.JsonPropertyName("segment")] - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] + public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } /// /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
@@ -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 /// @@ -42,32 +42,32 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Initializes a new instance of the class. /// + /// + /// Segment of the content. + /// /// /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// - /// - /// Segment of the content. + /// + /// 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). /// /// /// 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::System.Collections.Generic.IList? confidenceScores, global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, - global::System.Collections.Generic.IList? renderedParts, - global::System.Collections.Generic.IList? groundingChunkIndices) + global::System.Collections.Generic.IList? confidenceScores, + global::System.Collections.Generic.IList? groundingChunkIndices, + global::System.Collections.Generic.IList? renderedParts) { - this.ConfidenceScores = confidenceScores; this.Segment = segment; - this.RenderedParts = renderedParts; + this.ConfidenceScores = confidenceScores; this.GroundingChunkIndices = groundingChunkIndices; + this.RenderedParts = renderedParts; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs index f34adfe3..8a2acbcb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaSegment { - /// - /// The index of a Part object within its parent Content object. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] - public int? PartIndex { get; set; } - /// /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. /// @@ -21,10 +15,10 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment public int? StartIndex { get; set; } /// - /// The text corresponding to the segment from the response. + /// The index of a Part object within its parent Content object. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] + public int? PartIndex { get; set; } /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. @@ -32,6 +26,12 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] public int? EndIndex { get; set; } + /// + /// The text corresponding to the segment from the response. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// Initializes a new instance of the class. /// - /// - /// 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. /// - /// - /// The text corresponding to the segment from the response. + /// + /// The index of a Part object within its parent Content object. /// /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// + /// + /// The text corresponding to the segment from the response. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( - int? partIndex, int? startIndex, - string? text, - int? endIndex) + int? partIndex, + int? endIndex, + string? text) { - this.PartIndex = partIndex; this.StartIndex = startIndex; - this.Text = text; + this.PartIndex = partIndex; this.EndIndex = endIndex; + this.Text = text; } /// 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 26223c8f..fadfe83a 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 { - /// - /// 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; } + /// + /// Identifier for the source contributing to this attribution. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sourceId")] + public global::Google.Gemini.AttributionSourceId? SourceId { 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. /// - /// - /// 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. /// + /// + /// Identifier for the source contributing to this attribution. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingAttribution( - global::Google.Gemini.AttributionSourceId? sourceId, - global::Google.Gemini.Content? content) + global::Google.Gemini.Content? content, + global::Google.Gemini.AttributionSourceId? sourceId) { - this.SourceId = sourceId; this.Content = content; + this.SourceId = sourceId; } /// 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 3ee594d4..459391e7 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 @@ -15,10 +15,10 @@ public sealed partial class GroundingChunk public global::Google.Gemini.Web? Web { get; set; } /// - /// Chunk from image search. + /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("image")] - public global::Google.Gemini.Image? Image { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maps")] + public global::Google.Gemini.Maps? Maps { get; set; } /// /// Chunk from context retrieved by the file search tool. @@ -27,10 +27,10 @@ public sealed partial class GroundingChunk public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } /// - /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. + /// Chunk from image search. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maps")] - public global::Google.Gemini.Maps? Maps { get; set; } + [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 the web. /// - /// - /// Chunk from image search. + /// + /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// /// /// Chunk from context retrieved by the file search tool. /// - /// - /// 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.Web? web, - global::Google.Gemini.Image? image, + global::Google.Gemini.Maps? maps, global::Google.Gemini.RetrievedContext? retrievedContext, - global::Google.Gemini.Maps? maps) + global::Google.Gemini.Image? image) { this.Web = web; - this.Image = image; - this.RetrievedContext = retrievedContext; this.Maps = maps; + this.RetrievedContext = retrievedContext; + 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 08249261..5a9830d1 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 @@ -14,12 +14,6 @@ public sealed partial class GroundingChunkCustomMetadata [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; } - /// /// A list of string values. /// @@ -32,6 +26,12 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] public float? NumericValue { 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 /// @@ -44,28 +44,28 @@ public sealed partial class GroundingChunkCustomMetadata /// /// The key of the metadata. /// - /// - /// Optional. The string value of the metadata. - /// /// /// A list of string values. /// /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// + /// + /// Optional. The string value of the metadata. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( string? key, - string? stringValue, global::Google.Gemini.GroundingChunkStringList? stringListValue, - float? numericValue) + float? numericValue, + string? stringValue) { this.Key = key; - this.StringValue = stringValue; this.StringListValue = stringListValue; this.NumericValue = numericValue; + 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 60b84800..28d2d6cc 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; } - /// /// Metadata related to retrieval in the grounding flow. /// @@ -21,10 +15,16 @@ public sealed partial class GroundingMetadata public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } /// - /// Image search queries used for grounding. + /// Web search queries for the following-up web search. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] - public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] + public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } + + /// + /// Google search entry point. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] + public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } /// /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. @@ -39,16 +39,16 @@ public sealed partial class GroundingMetadata public global::System.Collections.Generic.IList? GroundingChunks { get; set; } /// - /// List of grounding support. + /// Image search queries used for grounding. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] - public global::System.Collections.Generic.IList? GroundingSupports { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] + public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } /// - /// Web search queries for the following-up web search. + /// List of grounding support. /// - [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] - public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] + public global::System.Collections.Generic.IList? GroundingSupports { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,14 +59,14 @@ public sealed partial class GroundingMetadata /// /// Initializes a new instance of the class. /// - /// - /// Google search entry point. - /// /// /// Metadata related to retrieval in the grounding flow. /// - /// - /// Image search queries used for grounding. + /// + /// Web search queries for the following-up web search. + /// + /// + /// Google search entry point. /// /// /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. @@ -74,31 +74,31 @@ public sealed partial class GroundingMetadata /// /// 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. + /// /// /// List of grounding support. /// - /// - /// Web search queries for the following-up web search. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::Google.Gemini.SearchEntryPoint? searchEntryPoint, global::Google.Gemini.RetrievalMetadata? retrievalMetadata, - global::System.Collections.Generic.IList? imageSearchQueries, + global::System.Collections.Generic.IList? webSearchQueries, + global::Google.Gemini.SearchEntryPoint? searchEntryPoint, string? googleMapsWidgetContextToken, global::System.Collections.Generic.IList? groundingChunks, - global::System.Collections.Generic.IList? groundingSupports, - global::System.Collections.Generic.IList? webSearchQueries) + global::System.Collections.Generic.IList? imageSearchQueries, + global::System.Collections.Generic.IList? groundingSupports) { - this.SearchEntryPoint = searchEntryPoint; this.RetrievalMetadata = retrievalMetadata; - this.ImageSearchQueries = imageSearchQueries; + this.WebSearchQueries = webSearchQueries; + this.SearchEntryPoint = searchEntryPoint; this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; this.GroundingChunks = groundingChunks; + this.ImageSearchQueries = imageSearchQueries; this.GroundingSupports = groundingSupports; - this.WebSearchQueries = webSearchQueries; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs index 65cfa899..9264e6ba 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 @@ -15,10 +15,10 @@ public sealed partial class Hyperparameters 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. + /// 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("learningRateMultiplier")] - public float? LearningRateMultiplier { get; set; } + [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 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("epochCount")] - public int? EpochCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] + public float? LearningRateMultiplier { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -44,28 +44,28 @@ public sealed partial class Hyperparameters /// /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// - /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// + /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. /// /// /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// - /// - /// 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 multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( float? learningRate, - float? learningRateMultiplier, + int? epochCount, int? batchSize, - int? epochCount) + float? learningRateMultiplier) { this.LearningRate = learningRate; - this.LearningRateMultiplier = learningRateMultiplier; - this.BatchSize = batchSize; this.EpochCount = epochCount; + this.BatchSize = batchSize; + this.LearningRateMultiplier = learningRateMultiplier; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs index 99411bd9..b4add7f1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class Image { + /// + /// 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 /// @@ -41,6 +41,9 @@ public sealed partial class Image /// /// Initializes a new instance of the class. /// + /// + /// 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". /// @@ -50,22 +53,19 @@ public sealed partial class Image /// /// 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? title, string? domain, string? sourceUri, - string? imageUri, - string? title) + string? imageUri) { + this.Title = title; this.Domain = domain; this.SourceUri = sourceUri; this.ImageUri = imageUri; - this.Title = title; } /// 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 99bdd63d..2f4a44ca 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ImportFileRequest { + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] + public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } + /// /// Required. The name of the `File` to import. Example: `files/abc-123` /// @@ -20,12 +26,6 @@ public sealed partial class ImportFileRequest [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 - /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] - public global::Google.Gemini.ChunkingConfig? ChunkingConfig { 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. /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// /// /// 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 - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImportFileRequest( + global::Google.Gemini.ChunkingConfig? chunkingConfig, string? fileName, - global::System.Collections.Generic.IList? customMetadata, - global::Google.Gemini.ChunkingConfig? chunkingConfig) + global::System.Collections.Generic.IList? customMetadata) { + this.ChunkingConfig = chunkingConfig; this.FileName = fileName; this.CustomMetadata = customMetadata; - this.ChunkingConfig = chunkingConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs index c70f6aa2..a3b4bba3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentRequest { - /// - /// Request containing the `Content` for the model to embed. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("request")] - public global::Google.Gemini.EmbedContentRequest? Request { get; set; } - /// /// Optional. The metadata to be associated with the request. /// [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// Request containing the `Content` for the model to embed. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("request")] + public global::Google.Gemini.EmbedContentRequest? Request { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedEmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Request containing the `Content` for the model to embed. - /// /// /// Optional. The metadata to be associated with the request. /// + /// + /// Request containing the `Content` for the model to embed. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentRequest( - global::Google.Gemini.EmbedContentRequest? request, - object? metadata) + object? metadata, + global::Google.Gemini.EmbedContentRequest? request) { - this.Request = request; this.Metadata = metadata; + this.Request = request; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs index ca0840b5..a5d69c3b 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 +8,12 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentResponse { + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -15,12 +21,6 @@ public sealed partial class InlinedEmbedContentResponse [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). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } - /// /// The response to an `EmbedContentRequest`. /// @@ -36,13 +36,13 @@ public sealed partial class InlinedEmbedContentResponse /// /// Initializes a new instance of the class. /// + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// /// /// 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`. /// @@ -50,12 +50,12 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentResponse( - object? metadata, global::Google.Gemini.Status? error, + object? metadata, global::Google.Gemini.EmbedContentResponse? response) { - this.Metadata = metadata; this.Error = error; + this.Metadata = metadata; 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 d91125c9..acc98cfe 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 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; } + /// + /// The name of the `File` containing the input requests. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { 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 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. /// + /// + /// The name of the `File` containing the input requests. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InputEmbedContentConfig( - string? fileName, - global::Google.Gemini.InlinedEmbedContentRequests? requests) + global::Google.Gemini.InlinedEmbedContentRequests? requests, + string? fileName) { - this.FileName = fileName; this.Requests = requests; + this.FileName = fileName; } /// 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 d5800e1d..0ba65b3e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Interval { - /// - /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] - public string? StartTime { get; set; } - /// /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. /// [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] public string? EndTime { get; set; } + /// + /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] + public string? StartTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Interval /// /// Initializes a new instance of the class. /// - /// - /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. - /// /// /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. /// + /// + /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Interval( - string? startTime, - string? endTime) + string? endTime, + string? startTime) { - this.StartTime = startTime; this.EndTime = endTime; + this.StartTime = startTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs index 8f9cc3b2..d5408471 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class LatLng { - /// - /// The longitude in degrees. It must be in the range [-180.0, +180.0]. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("longitude")] - public double? Longitude { get; set; } - /// /// The latitude in degrees. It must be in the range [-90.0, +90.0]. /// [global::System.Text.Json.Serialization.JsonPropertyName("latitude")] public double? Latitude { get; set; } + /// + /// The longitude in degrees. It must be in the range [-180.0, +180.0]. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("longitude")] + public double? Longitude { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class LatLng /// /// Initializes a new instance of the class. /// - /// - /// The longitude in degrees. It must be in the range [-180.0, +180.0]. - /// /// /// The latitude in degrees. It must be in the range [-90.0, +90.0]. /// + /// + /// The longitude in degrees. It must be in the range [-180.0, +180.0]. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LatLng( - double? longitude, - double? latitude) + double? latitude, + double? longitude) { - this.Longitude = longitude; this.Latitude = latitude; + this.Longitude = longitude; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs index 6b112b84..d8960e0a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListCachedContentsResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// List of cached contents. /// [global::System.Text.Json.Serialization.JsonPropertyName("cachedContents")] public global::System.Collections.Generic.IList? CachedContents { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListCachedContentsResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. - /// /// /// List of cached contents. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListCachedContentsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? cachedContents) + global::System.Collections.Generic.IList? cachedContents, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.CachedContents = cachedContents; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs index f5cb7585..53b78dd6 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.ListFileSearchStoresResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs index b64b02eb..841ed885 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFileSearchStoresResponse { - /// - /// 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 rag_stores. /// [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStores")] public global::System.Collections.Generic.IList? FileSearchStores { 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 ListFileSearchStoresResponse /// /// 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 rag_stores. /// + /// + /// 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 ListFileSearchStoresResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? fileSearchStores) + global::System.Collections.Generic.IList? fileSearchStores, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.FileSearchStores = fileSearchStores; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs index 00f5c2a1..7b51e54b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFilesResponse { - /// - /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The list of `File`s. /// [global::System.Text.Json.Serialization.JsonPropertyName("files")] public global::System.Collections.Generic.IList? Files { get; set; } + /// + /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListFilesResponse /// /// Initializes a new instance of the class. /// - /// - /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. - /// /// /// The list of `File`s. /// + /// + /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFilesResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? files) + global::System.Collections.Generic.IList? files, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Files = files; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs index 040a93da..1c374808 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListModelsResponse { - /// - /// The returned Models. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("models")] - public global::System.Collections.Generic.IList? Models { get; set; } - /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// The returned Models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("models")] + public global::System.Collections.Generic.IList? Models { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListModelsResponse /// /// Initializes a new instance of the class. /// - /// - /// The returned Models. - /// /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// + /// + /// The returned Models. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListModelsResponse( - global::System.Collections.Generic.IList? models, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? models) { - this.Models = models; this.NextPageToken = nextPageToken; + this.Models = models; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs index a2f8d432..35553f7f 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ListOperationsResponse { - /// - /// 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("unreachable")] - public global::System.Collections.Generic.IList? Unreachable { get; set; } - /// /// A list of operations that matches the specified filter in the request. /// @@ -26,6 +20,12 @@ public sealed partial class ListOperationsResponse [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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("unreachable")] + public global::System.Collections.Generic.IList? Unreachable { 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. /// - /// - /// 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. /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( - global::System.Collections.Generic.IList? unreachable, global::System.Collections.Generic.IList? operations, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? unreachable) { - this.Unreachable = unreachable; this.Operations = operations; this.NextPageToken = nextPageToken; + this.Unreachable = unreachable; } /// 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 a07e2cf3..d4ed378b 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.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index 0d7b8952..1c4558c4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class LogprobsResultCandidate { - /// - /// The candidate's log probability. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] - public float? LogProbability { get; set; } - /// /// The candidate’s token string value. /// @@ -26,6 +20,12 @@ public sealed partial class LogprobsResultCandidate [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] public int? TokenId { get; set; } + /// + /// The candidate's log probability. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] + public float? LogProbability { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class LogprobsResultCandidate /// /// Initializes a new instance of the class. /// - /// - /// The candidate's log probability. - /// /// /// The candidate’s token string value. /// /// /// The candidate’s token id value. /// + /// + /// The candidate's log probability. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( - float? logProbability, string? token, - int? tokenId) + int? tokenId, + float? logProbability) { - this.LogProbability = logProbability; 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 e92f50b1..6951fee2 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 @@ -8,24 +8,18 @@ namespace Google.Gemini /// public sealed partial class Maps { - /// - /// URI reference of the place. - /// - [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; } + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] + public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + /// /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// @@ -33,10 +27,16 @@ public sealed partial class Maps public string? PlaceId { get; set; } /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// URI reference of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] - public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + [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; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class Maps /// /// Initializes a new instance of the class. /// - /// - /// URI reference of the place. - /// - /// - /// Title of the place. - /// /// /// Text description of the place answer. /// + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// /// /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// + /// URI reference of the place. + /// + /// + /// Title of the place. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( - string? uri, - string? title, string? text, + global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, string? placeId, - global::Google.Gemini.PlaceAnswerSources? placeAnswerSources) + string? uri, + string? title) { - this.Uri = uri; - this.Title = title; this.Text = text; - this.PlaceId = placeId; this.PlaceAnswerSources = placeAnswerSources; + this.PlaceId = placeId; + this.Uri = uri; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs index f9e614fa..b9c043c1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ModalityTokenCount { - /// - /// Number of tokens. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] - public int? TokenCount { get; set; } - /// /// The modality associated with this token count. /// @@ -21,6 +15,12 @@ public sealed partial class ModalityTokenCount [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter))] public global::Google.Gemini.ModalityTokenCountModality? Modality { get; set; } + /// + /// Number of tokens. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] + public int? TokenCount { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class ModalityTokenCount /// /// Initializes a new instance of the class. /// - /// - /// Number of tokens. - /// /// /// The modality associated with this token count. /// + /// + /// Number of tokens. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModalityTokenCount( - int? tokenCount, - global::Google.Gemini.ModalityTokenCountModality? modality) + global::Google.Gemini.ModalityTokenCountModality? modality, + int? tokenCount) { - this.TokenCount = tokenCount; this.Modality = modality; + this.TokenCount = tokenCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs index 1890fd67..74829f68 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 @@ -21,16 +21,16 @@ public sealed partial class Model public float? TopP { get; set; } /// - /// A short description of the model. + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// The maximum temperature this model can use. + /// A short description of the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] - public float? MaxTemperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// /// 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. @@ -39,16 +39,16 @@ public sealed partial class Model public float? Temperature { 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. + /// 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("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { get; set; } /// /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` @@ -57,34 +57,34 @@ public sealed partial class Model public string? BaseModelId { get; set; } /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// Whether the model supports thinking. /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] + public bool? Thinking { get; set; } /// - /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` + /// Maximum number of input tokens allowed for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] + public int? InputTokenLimit { get; set; } /// - /// Maximum number of output tokens available for this model. + /// The maximum temperature this model can use. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] - public int? OutputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { get; set; } /// - /// Whether the model supports thinking. + /// Maximum number of output tokens available for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] - public bool? Thinking { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { get; set; } /// - /// 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`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -101,32 +101,23 @@ public sealed partial class Model /// /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. /// + /// + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. + /// /// /// A short description of the model. /// - /// - /// The maximum temperature this model can use. - /// /// /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - /// - /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. - /// - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. - /// - /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// + /// 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` /// /// /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - /// - /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` - /// - /// - /// Maximum number of output tokens available for this model. + /// + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// /// /// Whether the model supports thinking. @@ -134,37 +125,46 @@ public sealed partial class Model /// /// Maximum number of input tokens allowed for this model. /// + /// + /// The maximum temperature this model can use. + /// + /// + /// Maximum number of output tokens available for this model. + /// + /// + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( string? displayName, float? topP, + int? topK, string? description, - float? maxTemperature, float? temperature, - int? topK, - global::System.Collections.Generic.IList? supportedGenerationMethods, - string? baseModelId, - string? version, string? name, - int? outputTokenLimit, + string? version, + string? baseModelId, bool? thinking, - int? inputTokenLimit) + int? inputTokenLimit, + float? maxTemperature, + int? outputTokenLimit, + global::System.Collections.Generic.IList? supportedGenerationMethods) { this.DisplayName = displayName; this.TopP = topP; + this.TopK = topK; this.Description = description; - this.MaxTemperature = maxTemperature; this.Temperature = temperature; - this.TopK = topK; - this.SupportedGenerationMethods = supportedGenerationMethods; - this.BaseModelId = baseModelId; - this.Version = version; this.Name = name; - this.OutputTokenLimit = outputTokenLimit; + this.Version = version; + this.BaseModelId = baseModelId; this.Thinking = thinking; this.InputTokenLimit = inputTokenLimit; + this.MaxTemperature = maxTemperature; + this.OutputTokenLimit = outputTokenLimit; + this.SupportedGenerationMethods = supportedGenerationMethods; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs index 0da3ec08..bb3395ca 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 24d52307..21b95401 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class Operation { /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. @@ -33,10 +33,10 @@ public sealed partial class Operation 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. + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,8 +47,8 @@ public sealed partial class Operation /// /// Initializes a new instance of the class. /// - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. @@ -59,24 +59,24 @@ public sealed partial class Operation /// /// 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}`. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Operation( - string? name, + bool? done, object? response, object? metadata, global::Google.Gemini.Status? error, - bool? done) + string? name) { - this.Name = name; + this.Done = done; this.Response = response; this.Metadata = metadata; this.Error = error; - this.Done = done; + this.Name = name; } /// 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 b7f83bed..bbeb52ad 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs @@ -10,12 +10,6 @@ namespace Google.Gemini /// public sealed partial class Part { - /// - /// URI based data. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] - public global::Google.Gemini.FileData? FileData { get; set; } - /// /// Optional. Indicates if the part is thought from the model. /// @@ -29,35 +23,34 @@ public sealed partial class Part public object? PartMetadata { 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. + /// URI based data. /// - [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] - public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] + public global::Google.Gemini.FileData? FileData { get; set; } /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// 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("codeExecutionResult")] - public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } /// - /// Inline text. + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] + public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } /// - /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. + /// 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("videoMetadata")] - [global::System.Obsolete("This property marked as deprecated.")] - public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] + public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] + public global::Google.Gemini.Blob? InlineData { 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`. @@ -66,16 +59,11 @@ public sealed partial class Part public global::Google.Gemini.ToolCall? ToolCall { get; set; } /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] - public global::Google.Gemini.Blob? InlineData { 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`. + /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] - public global::Google.Gemini.ToolResponse? ToolResponse { 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; } /// /// 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. @@ -89,6 +77,18 @@ public sealed partial class Part [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] public byte[]? ThoughtSignature { get; set; } + /// + /// Inline text. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } + + /// + /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] + public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -98,35 +98,29 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// - /// - /// URI based data. - /// /// /// Optional. Indicates if the part is thought from the model. /// /// /// 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. /// - /// - /// 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. - /// - /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. - /// - /// - /// Inline text. + /// + /// URI based data. /// /// /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - /// - /// 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`. + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// + /// + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// /// /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - /// - /// 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`. /// /// /// 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. @@ -134,35 +128,41 @@ public sealed partial class Part /// /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// + /// + /// 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`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( - global::Google.Gemini.FileData? fileData, bool? thought, object? partMetadata, - global::Google.Gemini.ExecutableCode? executableCode, - global::Google.Gemini.CodeExecutionResult? codeExecutionResult, - string? text, + global::Google.Gemini.FileData? fileData, global::Google.Gemini.FunctionCall? functionCall, - global::Google.Gemini.ToolCall? toolCall, + global::Google.Gemini.CodeExecutionResult? codeExecutionResult, + global::Google.Gemini.ExecutableCode? executableCode, global::Google.Gemini.Blob? inlineData, - global::Google.Gemini.ToolResponse? toolResponse, + global::Google.Gemini.ToolCall? toolCall, global::Google.Gemini.FunctionResponse? functionResponse, - byte[]? thoughtSignature) + byte[]? thoughtSignature, + string? text, + global::Google.Gemini.ToolResponse? toolResponse) { - this.FileData = fileData; this.Thought = thought; this.PartMetadata = partMetadata; - this.ExecutableCode = executableCode; - this.CodeExecutionResult = codeExecutionResult; - this.Text = text; + this.FileData = fileData; this.FunctionCall = functionCall; - this.ToolCall = toolCall; + this.CodeExecutionResult = codeExecutionResult; + this.ExecutableCode = executableCode; this.InlineData = inlineData; - this.ToolResponse = toolResponse; + this.ToolCall = toolCall; this.FunctionResponse = functionResponse; this.ThoughtSignature = thoughtSignature; + this.Text = text; + this.ToolResponse = toolResponse; } /// 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 f7e526d8..458cc7a7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class PromptFeedback { - /// - /// Ratings for safety of the prompt. There is at most one rating per category. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } - /// /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. /// @@ -21,6 +15,12 @@ public sealed partial class PromptFeedback [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter))] public global::Google.Gemini.PromptFeedbackBlockReason? BlockReason { get; set; } + /// + /// Ratings for safety of the prompt. There is at most one rating per category. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class PromptFeedback /// /// Initializes a new instance of the class. /// - /// - /// Ratings for safety of the prompt. There is at most one rating per category. - /// /// /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. /// + /// + /// Ratings for safety of the prompt. There is at most one rating per category. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public PromptFeedback( - global::System.Collections.Generic.IList? safetyRatings, - global::Google.Gemini.PromptFeedbackBlockReason? blockReason) + global::Google.Gemini.PromptFeedbackBlockReason? blockReason, + global::System.Collections.Generic.IList? safetyRatings) { - this.SafetyRatings = safetyRatings; this.BlockReason = blockReason; + this.SafetyRatings = safetyRatings; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs index 3dcf1c7b..1d723d03 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class RetrievalConfig { - /// - /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] - public string? LanguageCode { get; set; } - /// /// An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. /// [global::System.Text.Json.Serialization.JsonPropertyName("latLng")] public global::Google.Gemini.LatLng? LatLng { get; set; } + /// + /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] + public string? LanguageCode { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class RetrievalConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). - /// /// /// An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. /// + /// + /// 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). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievalConfig( - string? languageCode, - global::Google.Gemini.LatLng? latLng) + global::Google.Gemini.LatLng? latLng, + string? languageCode) { - this.LanguageCode = languageCode; this.LatLng = latLng; + this.LanguageCode = languageCode; } /// 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 b41a45c3..0ab7bb26 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class RetrievedContext { + /// + /// Optional. URI reference of the semantic retrieval document. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } + /// /// Optional. Title of the document. /// @@ -21,22 +27,22 @@ public sealed partial class RetrievedContext public string? Text { get; set; } /// - /// Optional. User-provided metadata about the retrieved context. + /// Optional. Page number of the retrieved context, if applicable. /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] + public int? PageNumber { get; set; } /// - /// Optional. URI reference of the semantic retrieval document. + /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] + public string? MediaId { get; set; } /// - /// Optional. Page number of the retrieved context, if applicable. + /// Optional. User-provided metadata about the retrieved context. /// - [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] - public int? PageNumber { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` @@ -44,12 +50,6 @@ public sealed partial class RetrievedContext [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] public string? FileSearchStore { get; set; } - /// - /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] - public string? MediaId { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -59,46 +59,46 @@ public sealed partial class RetrievedContext /// /// Initializes a new instance of the class. /// + /// + /// Optional. URI reference of the semantic retrieval document. + /// /// /// Optional. Title of the document. /// /// /// Optional. Text of the chunk. /// - /// - /// Optional. User-provided metadata about the retrieved context. - /// - /// - /// Optional. URI reference of the semantic retrieval document. - /// /// /// Optional. Page number of the retrieved context, if applicable. /// - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` - /// /// /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} /// + /// + /// Optional. User-provided metadata about the retrieved context. + /// + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( + string? uri, string? title, string? text, - global::System.Collections.Generic.IList? customMetadata, - string? uri, int? pageNumber, - string? fileSearchStore, - string? mediaId) + string? mediaId, + global::System.Collections.Generic.IList? customMetadata, + string? fileSearchStore) { + this.Uri = uri; this.Title = title; this.Text = text; - this.CustomMetadata = customMetadata; - this.Uri = uri; this.PageNumber = pageNumber; - this.FileSearchStore = fileSearchStore; this.MediaId = mediaId; + this.CustomMetadata = customMetadata; + this.FileSearchStore = fileSearchStore; } /// 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 550780da..db35d025 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 @@ -8,18 +8,18 @@ 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. /// [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsUri")] public string? GoogleMapsUri { get; set; } + /// + /// The ID of the review snippet. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] + public string? ReviewId { get; set; } + /// /// Title of the review. /// @@ -35,12 +35,12 @@ 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. /// + /// + /// The ID of the review snippet. + /// /// /// Title of the review. /// @@ -48,12 +48,12 @@ public sealed partial class ReviewSnippet [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ReviewSnippet( - string? reviewId, string? googleMapsUri, + string? reviewId, string? title) { - this.ReviewId = reviewId; this.GoogleMapsUri = googleMapsUri; + this.ReviewId = reviewId; this.Title = title; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs index 92d47abf..d173960d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class SafetyRating { - /// - /// Required. The probability of harm for this content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("probability")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter))] - public global::Google.Gemini.SafetyRatingProbability? Probability { get; set; } - /// /// Required. The category for this rating. /// @@ -22,6 +15,13 @@ public sealed partial class SafetyRating [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter))] public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } + /// + /// Required. The probability of harm for this content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("probability")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter))] + public global::Google.Gemini.SafetyRatingProbability? Probability { get; set; } + /// /// Was this content blocked because of this rating? /// @@ -37,12 +37,12 @@ public sealed partial class SafetyRating /// /// Initializes a new instance of the class. /// - /// - /// Required. The probability of harm for this content. - /// /// /// Required. The category for this rating. /// + /// + /// Required. The probability of harm for this content. + /// /// /// Was this content blocked because of this rating? /// @@ -50,12 +50,12 @@ public sealed partial class SafetyRating [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( - global::Google.Gemini.SafetyRatingProbability? probability, global::Google.Gemini.SafetyRatingCategory? category, + global::Google.Gemini.SafetyRatingProbability? probability, bool? blocked) { - this.Probability = probability; this.Category = category; + this.Probability = probability; this.Blocked = blocked; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs index 77ca9289..28236634 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 { /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { get; set; } - - /// - /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} - /// - [global::System.Text.Json.Serialization.JsonPropertyName("enum")] - public global::System.Collections.Generic.IList? Enum { get; set; } - - /// - /// Optional. Maximum length of the Type.STRING + /// Optional. Required properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// Optional. Maximum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] - public string? Pattern { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] + public string? MaxProperties { get; set; } /// /// Optional. Indicates if the value may be null. @@ -38,12 +26,6 @@ public sealed partial class Schema [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] public bool? Nullable { get; set; } - /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER - /// - [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] - public double? Minimum { get; set; } - /// /// Optional. Minimum number of the elements for Type.ARRAY. /// @@ -51,22 +33,28 @@ public sealed partial class Schema public string? MinItems { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. Example of the object. Will only populated when the object is the root. /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("example")] + public object? Example { get; set; } /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// Optional. The title of the schema. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] - public string? MaxProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// Optional. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] - public string? MinLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } + + /// + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] + public double? Maximum { get; set; } /// /// Optional. The value should be validated against any (one or more) of the subschemas in the list. @@ -81,11 +69,16 @@ public sealed partial class Schema public string? Format { get; set; } /// - /// Required. Data type. + /// Optional. Minimum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("type")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] - public global::Google.Gemini.SchemaType? Type { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { get; set; } + + /// + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + /// + [global::System.Text.Json.Serialization.JsonPropertyName("enum")] + public global::System.Collections.Generic.IList? Enum { get; set; } /// /// Optional. Maximum number of the elements for Type.ARRAY. @@ -94,52 +87,59 @@ public sealed partial class Schema public string? MaxItems { get; set; } /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] - public double? Maximum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] + public global::System.Collections.Generic.IList? PropertyOrdering { 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. Example of the object. Will only populated when the object is the root. + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - [global::System.Text.Json.Serialization.JsonPropertyName("example")] - public object? Example { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { get; set; } /// - /// Optional. The title of the schema. + /// 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("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Optional. Required properties of Type.OBJECT. + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - [global::System.Text.Json.Serialization.JsonPropertyName("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { 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. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("items")] - public global::Google.Gemini.Schema? Items { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] + public string? MinLength { get; set; } /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// Optional. Maximum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] + public string? MaxLength { 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. + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] - public global::System.Collections.Generic.IList? PropertyOrdering { 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; } + + /// + /// 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; } /// /// Additional properties that are not explicitly defined in the schema @@ -150,35 +150,29 @@ public sealed partial class Schema /// /// Initializes a new instance of the class. /// - /// - /// 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. 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. Required properties of Type.OBJECT. /// - /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// + /// Optional. Maximum number of the properties for Type.OBJECT. /// /// /// Optional. Indicates if the value may be null. /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER - /// /// /// Optional. Minimum number of the elements for Type.ARRAY. /// + /// + /// Optional. Example of the object. Will only populated when the object is the root. + /// + /// + /// Optional. The title of the schema. + /// /// /// Optional. Properties of Type.OBJECT. /// - /// - /// Optional. Maximum number of the properties for Type.OBJECT. - /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// /// /// Optional. The value should be validated against any (one or more) of the subschemas in the list. @@ -186,85 +180,91 @@ public sealed partial class Schema /// /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - /// - /// Required. Data type. + /// + /// Optional. Minimum number of the properties for Type.OBJECT. + /// + /// + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} /// /// /// Optional. Maximum number of the elements for Type.ARRAY. /// - /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// + /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. + /// + /// + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// + /// + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// /// /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// + /// 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. The title of the schema. + /// + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - /// - /// Optional. Required properties of Type.OBJECT. + /// + /// Optional. Maximum length of the Type.STRING + /// + /// + /// Required. Data type. /// /// /// 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. Minimum 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. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - object? @default, - global::System.Collections.Generic.IList? @enum, - string? maxLength, - string? pattern, + global::System.Collections.Generic.IList? required, + string? maxProperties, bool? nullable, - double? minimum, string? minItems, + object? example, + string? title, global::System.Collections.Generic.Dictionary? properties, - string? maxProperties, - string? minLength, + double? maximum, global::System.Collections.Generic.IList? anyOf, string? format, - global::Google.Gemini.SchemaType? type, + string? minProperties, + global::System.Collections.Generic.IList? @enum, string? maxItems, - double? maximum, + global::System.Collections.Generic.IList? propertyOrdering, + double? minimum, + string? pattern, string? description, - object? example, - string? title, - global::System.Collections.Generic.IList? required, - global::Google.Gemini.Schema? items, - string? minProperties, - global::System.Collections.Generic.IList? propertyOrdering) + object? @default, + string? minLength, + string? maxLength, + global::Google.Gemini.SchemaType? type, + global::Google.Gemini.Schema? items) { - this.Default = @default; - this.Enum = @enum; - this.MaxLength = maxLength; - this.Pattern = pattern; + this.Required = required; + this.MaxProperties = maxProperties; this.Nullable = nullable; - this.Minimum = minimum; this.MinItems = minItems; + this.Example = example; + this.Title = title; this.Properties = properties; - this.MaxProperties = maxProperties; - this.MinLength = minLength; + this.Maximum = maximum; this.AnyOf = anyOf; this.Format = format; - this.Type = type; + this.MinProperties = minProperties; + this.Enum = @enum; this.MaxItems = maxItems; - this.Maximum = maximum; + this.PropertyOrdering = propertyOrdering; + this.Minimum = minimum; + this.Pattern = pattern; this.Description = description; - this.Example = example; - this.Title = title; - this.Required = required; + this.Default = @default; + this.MinLength = minLength; + this.MaxLength = maxLength; + this.Type = type; this.Items = items; - this.MinProperties = minProperties; - this.PropertyOrdering = propertyOrdering; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs index 7e6808c3..3d9a8e71 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SearchEntryPoint { - /// - /// Optional. Base64 encoded JSON representing array of tuple. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sdkBlob")] - public byte[]? SdkBlob { get; set; } - /// /// Optional. Web content snippet that can be embedded in a web page or an app webview. /// [global::System.Text.Json.Serialization.JsonPropertyName("renderedContent")] public string? RenderedContent { get; set; } + /// + /// Optional. Base64 encoded JSON representing array of tuple. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sdkBlob")] + public byte[]? SdkBlob { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SearchEntryPoint /// /// Initializes a new instance of the class. /// - /// - /// Optional. Base64 encoded JSON representing array of tuple. - /// /// /// Optional. Web content snippet that can be embedded in a web page or an app webview. /// + /// + /// Optional. Base64 encoded JSON representing array of tuple. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SearchEntryPoint( - byte[]? sdkBlob, - string? renderedContent) + string? renderedContent, + byte[]? sdkBlob) { - this.SdkBlob = sdkBlob; this.RenderedContent = renderedContent; + this.SdkBlob = sdkBlob; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs index 24d94e40..45f30e57 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class SemanticRetrieverChunk { /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - public string? Source { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] + public string? Chunk { get; set; } /// - /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
+ /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] - public string? Chunk { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("source")] + public string? Source { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class SemanticRetrieverChunk /// /// Initializes a new instance of the class. /// - /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
- /// Included only in responses - /// /// /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// + /// + /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SemanticRetrieverChunk( - string? source, - string? chunk) + string? chunk, + string? source) { - this.Source = source; this.Chunk = chunk; + this.Source = source; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs index f1ef065a..370880fa 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SpeakerVoiceConfig { - /// - /// Required. The name of the speaker to use. Should be the same as in the prompt. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("speaker")] - public string? Speaker { get; set; } - /// /// The configuration for the voice to use. /// [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } + /// + /// Required. The name of the speaker to use. Should be the same as in the prompt. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("speaker")] + public string? Speaker { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SpeakerVoiceConfig /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the speaker to use. Should be the same as in the prompt. - /// /// /// The configuration for the voice to use. /// + /// + /// Required. The name of the speaker to use. Should be the same as in the prompt. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeakerVoiceConfig( - string? speaker, - global::Google.Gemini.VoiceConfig? voiceConfig) + global::Google.Gemini.VoiceConfig? voiceConfig, + string? speaker) { - this.Speaker = speaker; this.VoiceConfig = voiceConfig; + this.Speaker = speaker; } /// 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 44773a7b..bef80e26 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class SpeechConfig { /// - /// The configuration for the multi-speaker setup. + /// The configuration for the voice to use. /// - [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] - public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } + [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`. @@ -21,10 +21,10 @@ public sealed partial class SpeechConfig public string? LanguageCode { get; set; } /// - /// The configuration for the voice to use. + /// The configuration for the multi-speaker setup. /// - [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] - public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] + public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class SpeechConfig /// /// Initializes a new instance of the class. /// - /// - /// The configuration for the multi-speaker setup. + /// + /// The configuration for the voice to use. /// /// /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// - /// - /// The configuration for the voice to use. + /// + /// The configuration for the multi-speaker setup. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( - global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, + global::Google.Gemini.VoiceConfig? voiceConfig, string? languageCode, - global::Google.Gemini.VoiceConfig? voiceConfig) + global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig) { - this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; - this.LanguageCode = languageCode; this.VoiceConfig = voiceConfig; + this.LanguageCode = languageCode; + this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; } /// 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 1455e842..0f1d78cd 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class StreamableHttpTransport { /// - /// Whether to close the client session when the transport closes. + /// Timeout for SSE read operations. /// - [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] - public bool? TerminateOnClose { get; set; } + [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" @@ -26,18 +26,18 @@ public sealed partial class StreamableHttpTransport [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] public string? Timeout { 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; } + /// + /// Whether to close the client session when the transport closes. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] + public bool? TerminateOnClose { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,8 +47,8 @@ public sealed partial class StreamableHttpTransport /// /// Initializes a new instance of the class. /// - /// - /// Whether to close the client session when the transport closes. + /// + /// Timeout for SSE read operations. /// /// /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" @@ -56,27 +56,27 @@ public sealed partial class StreamableHttpTransport /// /// HTTP timeout for regular operations. /// - /// - /// Timeout for SSE read operations. - /// /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// + /// + /// Whether to close the client session when the transport closes. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( - bool? terminateOnClose, + string? sseReadTimeout, string? url, string? timeout, - string? sseReadTimeout, - global::System.Collections.Generic.Dictionary? headers) + global::System.Collections.Generic.Dictionary? headers, + bool? terminateOnClose) { - this.TerminateOnClose = terminateOnClose; + this.SseReadTimeout = sseReadTimeout; this.Url = url; this.Timeout = timeout; - this.SseReadTimeout = sseReadTimeout; this.Headers = headers; + this.TerminateOnClose = terminateOnClose; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs index 0f2df624..b3cdd8f3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs @@ -14,6 +14,12 @@ public sealed partial class ThinkingConfig [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] public int? ThinkingBudget { get; set; } + /// + /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] + public bool? IncludeThoughts { get; set; } + /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error. /// @@ -21,12 +27,6 @@ public sealed partial class ThinkingConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter))] public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } - /// - /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] - public bool? IncludeThoughts { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,23 +39,23 @@ public sealed partial class ThinkingConfig /// /// 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. If not specified, the default is HIGH. 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. /// + /// + /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. 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( int? thinkingBudget, - global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel, - bool? includeThoughts) + bool? includeThoughts, + global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel) { this.ThinkingBudget = thinkingBudget; - this.ThinkingLevel = thinkingLevel; this.IncludeThoughts = includeThoughts; + 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 6e153052..839b1ea1 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 @@ -14,30 +14,18 @@ public sealed partial class Tool [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] - public global::Google.Gemini.GoogleMaps? GoogleMaps { 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] - public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } - - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] - public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } - /// /// Tool to retrieve public web data for grounding, powered by Google. /// [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] + public global::Google.Gemini.FileSearch? FileSearch { get; set; } + /// /// Tool to support URL context retrieval. /// @@ -57,10 +45,22 @@ public sealed partial class Tool public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// 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("fileSearch")] - public global::Google.Gemini.FileSearch? FileSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] + public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } + + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] + public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } + + /// + /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] + public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -74,18 +74,12 @@ public sealed partial class Tool /// /// Computer Use tool type. /// - /// - /// 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. - /// - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// /// /// Tool to retrieve public web data for grounding, powered by Google. /// + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// /// /// Tool to support URL context retrieval. /// @@ -95,32 +89,38 @@ public sealed partial class Tool /// /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// - /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// + /// 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. + /// + /// + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// #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.CodeExecution? codeExecution, - global::Google.Gemini.GoogleSearch? googleSearch, global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, + global::Google.Gemini.FileSearch? fileSearch, global::Google.Gemini.UrlContext? urlContext, global::System.Collections.Generic.IList? mcpServers, global::System.Collections.Generic.IList? functionDeclarations, - global::Google.Gemini.FileSearch? fileSearch) + global::Google.Gemini.CodeExecution? codeExecution, + global::Google.Gemini.GoogleSearch? googleSearch, + global::Google.Gemini.GoogleMaps? googleMaps) { this.ComputerUse = computerUse; - this.GoogleMaps = googleMaps; - this.CodeExecution = codeExecution; - this.GoogleSearch = googleSearch; this.GoogleSearchRetrieval = googleSearchRetrieval; + this.FileSearch = fileSearch; this.UrlContext = urlContext; this.McpServers = mcpServers; this.FunctionDeclarations = functionDeclarations; - this.FileSearch = fileSearch; + this.CodeExecution = codeExecution; + this.GoogleSearch = googleSearch; + this.GoogleMaps = googleMaps; } /// 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 4fcef779..74dded94 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 @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ToolCall { - /// - /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} - /// - [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; } + /// + /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} + /// + [global::System.Text.Json.Serialization.JsonPropertyName("args")] + public object? Args { get; set; } + /// /// Required. The type of tool that was called. /// @@ -36,12 +36,12 @@ public sealed partial class ToolCall /// /// Initializes a new instance of the class. /// - /// - /// 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`. /// + /// + /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} + /// /// /// Required. The type of tool that was called. /// @@ -49,12 +49,12 @@ public sealed partial class ToolCall [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolCall( - object? args, string? id, + object? args, global::Google.Gemini.ToolCallToolType? toolType) { - this.Args = args; this.Id = id; + this.Args = args; this.ToolType = toolType; } 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 78771bbc..066ff4f1 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 @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ToolConfig { - /// - /// Configuration for specifying function calling behavior. - /// - [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; } + /// + /// Configuration for specifying function calling behavior. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] + public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } + /// /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// @@ -35,12 +35,12 @@ public sealed partial class ToolConfig /// /// Initializes a new instance of the class. /// - /// - /// Configuration for specifying function calling behavior. - /// /// /// Retrieval config. /// + /// + /// Configuration for specifying function calling behavior. + /// /// /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// @@ -48,12 +48,12 @@ public sealed partial class ToolConfig [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( - global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, global::Google.Gemini.RetrievalConfig? retrievalConfig, + global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, bool? includeServerSideToolInvocations) { - this.FunctionCallingConfig = functionCallingConfig; this.RetrievalConfig = retrievalConfig; + this.FunctionCallingConfig = functionCallingConfig; this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs index 1a5f51ec..8a47cf0e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class ToolResponse { - /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] - public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } - /// /// Optional. The identifier of the tool call this response is for. /// @@ -27,6 +20,13 @@ public sealed partial class ToolResponse [global::System.Text.Json.Serialization.JsonPropertyName("response")] public object? Response { get; set; } + /// + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] + public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ToolResponse /// /// Initializes a new instance of the class. /// - /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. - /// /// /// Optional. The identifier of the tool call this response is for. /// /// /// Optional. The tool response. /// + /// + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolResponse( - global::Google.Gemini.ToolResponseToolType? toolType, string? id, - object? response) + object? response, + global::Google.Gemini.ToolResponseToolType? toolType) { - this.ToolType = toolType; this.Id = id; this.Response = response; + this.ToolType = toolType; } /// 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 e30f908c..105369d0 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 @@ -9,17 +9,11 @@ namespace Google.Gemini public sealed partial class TunedModel { /// - /// Output only. The timestamp when this model was created.
+ /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { 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; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` @@ -27,6 +21,12 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] public string? BaseModel { get; set; } + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] + public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } + /// /// Output only. The state of the tuned model.
/// Included only in responses @@ -35,6 +35,24 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] public global::Google.Gemini.TunedModelState? State { get; set; } + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Optional. For 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. 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 @@ -43,17 +61,17 @@ public sealed partial class TunedModel public string? UpdateTime { get; set; } /// - /// Tuning tasks that create tuned models. + /// Tuned model as a source for training a new model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] + public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// Output only. The timestamp when this model was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// 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. @@ -62,22 +80,10 @@ public sealed partial class TunedModel public float? Temperature { get; set; } /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } - - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] - public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } - - /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } /// /// Optional. A short description of this model. @@ -85,12 +91,6 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonPropertyName("description")] public string? Description { get; set; } - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -100,80 +100,80 @@ public sealed partial class TunedModel /// /// Initializes a new instance of the class. /// - /// - /// Output only. The timestamp when this model was created.
+ /// + /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
/// Included only in responses /// - /// - /// Tuned model as a source for training a new model. - /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// /// /// Output only. The state of the tuned model.
/// Included only in responses /// + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// + /// Optional. For 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. 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. + /// + /// Tuned model as a source for training a new model. /// - /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// + /// Output only. The timestamp when this model was created.
/// Included only in responses /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. List of project numbers that have read access to the tuned 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. /// /// /// Optional. A short description of this model. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( - string? createTime, - global::Google.Gemini.TunedModelSource? tunedModelSource, + string? name, string? baseModel, + global::System.Collections.Generic.IList? readerProjectNumbers, global::Google.Gemini.TunedModelState? state, + string? displayName, + float? topP, + int? topK, string? updateTime, - global::Google.Gemini.TuningTask? tuningTask, - string? name, + global::Google.Gemini.TunedModelSource? tunedModelSource, + string? createTime, float? temperature, - int? topK, - global::System.Collections.Generic.IList? readerProjectNumbers, - string? displayName, - string? description, - float? topP) + global::Google.Gemini.TuningTask? tuningTask, + string? description) { - this.CreateTime = createTime; - this.TunedModelSource = tunedModelSource; + this.Name = name; this.BaseModel = baseModel; + this.ReaderProjectNumbers = readerProjectNumbers; this.State = state; + this.DisplayName = displayName; + this.TopP = topP; + this.TopK = topK; this.UpdateTime = updateTime; - this.TuningTask = tuningTask; - this.Name = name; + this.TunedModelSource = tunedModelSource; + this.CreateTime = createTime; this.Temperature = temperature; - this.TopK = topK; - this.ReaderProjectNumbers = readerProjectNumbers; - this.DisplayName = displayName; + this.TuningTask = tuningTask; this.Description = description; - this.TopP = topP; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs index 8d81afc5..9f62ece2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class TunedModelSource { + /// + /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModel")] + public string? TunedModel { get; set; } + /// /// Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`
/// Included only in responses @@ -15,12 +21,6 @@ public sealed partial class TunedModelSource [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] public string? BaseModel { get; set; } - /// - /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModel")] - public string? TunedModel { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class TunedModelSource /// /// Initializes a new instance of the class. /// + /// + /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` + /// /// /// Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`
/// Included only in responses /// - /// - /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModelSource( - string? baseModel, - string? tunedModel) + string? tunedModel, + string? baseModel) { - this.BaseModel = baseModel; this.TunedModel = tunedModel; + this.BaseModel = baseModel; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningExample.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningExample.g.cs index 4b05ee7f..d503fa2c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningExample.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningExample.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class TuningExample { - /// - /// Optional. Text model input. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("textInput")] - public string? TextInput { get; set; } - /// /// Required. The expected model output. /// [global::System.Text.Json.Serialization.JsonPropertyName("output")] public string? Output { get; set; } + /// + /// Optional. Text model input. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("textInput")] + public string? TextInput { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class TuningExample /// /// Initializes a new instance of the class. /// - /// - /// Optional. Text model input. - /// /// /// Required. The expected model output. /// + /// + /// Optional. Text model input. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningExample( - string? textInput, - string? output) + string? output, + string? textInput) { - this.TextInput = textInput; this.Output = output; + this.TextInput = textInput; } /// 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 c17a4118..a4bf94ba 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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class TuningSnapshot { - /// - /// Output only. The tuning step.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("step")] - public int? Step { get; set; } - /// /// Output only. The mean loss of the training examples for this step.
/// Included only in responses @@ -36,6 +29,13 @@ public sealed partial class TuningSnapshot [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] public string? ComputeTime { get; set; } + /// + /// Output only. The tuning step.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("step")] + public int? Step { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -45,10 +45,6 @@ public sealed partial class TuningSnapshot /// /// Initializes a new instance of the class. /// - /// - /// Output only. The tuning step.
- /// Included only in responses - /// /// /// Output only. The mean loss of the training examples for this step.
/// Included only in responses @@ -61,19 +57,23 @@ public sealed partial class TuningSnapshot /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// + /// + /// Output only. The tuning step.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( - int? step, float? meanLoss, int? epoch, - string? computeTime) + string? computeTime, + int? step) { - this.Step = step; this.MeanLoss = meanLoss; this.Epoch = epoch; this.ComputeTime = computeTime; + this.Step = step; } /// 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 f35cdbca..dccf0ecb 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 @@ -16,24 +16,18 @@ public sealed partial class TuningTask public string? StartTime { get; set; } /// - /// Output only. Metrics collected during tuning.
+ /// Output only. The timestamp when tuning this model completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] - public global::System.Collections.Generic.IList? Snapshots { 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; } + [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] + public string? CompleteTime { get; set; } /// - /// Output only. The timestamp when tuning this model completed.
+ /// Output only. Metrics collected during tuning.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] - public string? CompleteTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] + public global::System.Collections.Generic.IList? Snapshots { get; set; } /// /// Dataset for training or validation. @@ -41,6 +35,12 @@ 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -54,35 +54,35 @@ public sealed partial class TuningTask /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// - /// - /// Output only. Metrics collected during tuning.
- /// Included only in responses - /// - /// - /// 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.
+ /// 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 + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( string? startTime, - global::System.Collections.Generic.IList? snapshots, - global::Google.Gemini.Hyperparameters? hyperparameters, string? completeTime, - global::Google.Gemini.Dataset? trainingData) + global::System.Collections.Generic.IList? snapshots, + global::Google.Gemini.Dataset? trainingData, + global::Google.Gemini.Hyperparameters? hyperparameters) { this.StartTime = startTime; - this.Snapshots = snapshots; - this.Hyperparameters = hyperparameters; this.CompleteTime = completeTime; + this.Snapshots = snapshots; this.TrainingData = trainingData; + this.Hyperparameters = hyperparameters; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs index cc5c6a9b..0db85dc4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class UploadToFileSearchStoreRequest { /// - /// Custom metadata to be associated with the data. + /// Optional. Display name of the created document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto @@ -27,10 +27,10 @@ public sealed partial class UploadToFileSearchStoreRequest public string? MimeType { get; set; } /// - /// Optional. Display name of the created document. + /// Custom metadata to be associated with the data. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,8 +41,8 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// Initializes a new instance of the class. /// - /// - /// Custom metadata to be associated with the data. + /// + /// Optional. Display name of the created document. /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto @@ -50,22 +50,22 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// - /// - /// Optional. Display name of the created document. + /// + /// Custom metadata to be associated with the data. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UploadToFileSearchStoreRequest( - global::System.Collections.Generic.IList? customMetadata, + string? displayName, global::Google.Gemini.ChunkingConfig? chunkingConfig, string? mimeType, - string? displayName) + global::System.Collections.Generic.IList? customMetadata) { - this.CustomMetadata = customMetadata; + this.DisplayName = displayName; this.ChunkingConfig = chunkingConfig; this.MimeType = mimeType; - this.DisplayName = displayName; + this.CustomMetadata = customMetadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs index 961d09f9..d2fe110f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class UrlMetadata { + /// + /// Retrieved url by the tool. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retrievedUrl")] + public string? RetrievedUrl { get; set; } + /// /// Status of the url retrieval. /// @@ -15,12 +21,6 @@ public sealed partial class UrlMetadata [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter))] public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? UrlRetrievalStatus { get; set; } - /// - /// Retrieved url by the tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievedUrl")] - public string? RetrievedUrl { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class UrlMetadata /// /// Initializes a new instance of the class. /// - /// - /// Status of the url retrieval. - /// /// /// Retrieved url by the tool. /// + /// + /// Status of the url retrieval. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UrlMetadata( - global::Google.Gemini.UrlMetadataUrlRetrievalStatus? urlRetrievalStatus, - string? retrievedUrl) + string? retrievedUrl, + global::Google.Gemini.UrlMetadataUrlRetrievalStatus? urlRetrievalStatus) { - this.UrlRetrievalStatus = urlRetrievalStatus; this.RetrievedUrl = retrievedUrl; + this.UrlRetrievalStatus = urlRetrievalStatus; } /// 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 23b46226..061e6f24 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class UsageMetadata { + /// + /// Output only. List of modalities of the cached content in the request input.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + /// /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses @@ -16,10 +23,11 @@ public sealed partial class UsageMetadata public int? ToolUsePromptTokenCount { get; set; } /// - /// Total token count for the generation request (prompt + response candidates). + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] - public int? TotalTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] + public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } /// /// Output only. List of modalities that were processed in the request input.
@@ -29,11 +37,11 @@ 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.
+ /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] + public int? ThoughtsTokenCount { get; set; } /// /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. @@ -41,19 +49,6 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] public int? PromptTokenCount { 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) /// @@ -61,11 +56,10 @@ public sealed partial class UsageMetadata public int? CachedContentTokenCount { get; set; } /// - /// Output only. Number of tokens of thoughts for thinking models.
- /// Included only in responses + /// Total number of tokens across all the generated response candidates. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] - public int? ThoughtsTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { get; set; } /// /// Output only. List of modalities that were returned in the response.
@@ -74,6 +68,12 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } + /// + /// Total token count for the generation request (prompt + response candidates). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] + public int? TotalTokenCount { 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 @@ -97,42 +97,42 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// + /// + /// 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 + response candidates). + /// + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - /// - /// Output only. List of modalities of the cached content in the request input.
+ /// + /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// /// /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. /// - /// - /// 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) /// - /// - /// 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 returned in the response.
/// Included only in responses /// + /// + /// Total token count for the generation request (prompt + response candidates). + /// /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
/// Included only in responses @@ -145,29 +145,29 @@ public sealed partial class UsageMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UsageMetadata( + global::System.Collections.Generic.IList? cacheTokensDetails, int? toolUsePromptTokenCount, - int? totalTokenCount, + global::System.Collections.Generic.IList? toolUsePromptTokensDetails, global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? cacheTokensDetails, + int? thoughtsTokenCount, int? promptTokenCount, - global::System.Collections.Generic.IList? toolUsePromptTokensDetails, - int? candidatesTokenCount, int? cachedContentTokenCount, - int? thoughtsTokenCount, + int? candidatesTokenCount, global::System.Collections.Generic.IList? candidatesTokensDetails, + int? totalTokenCount, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { + this.CacheTokensDetails = cacheTokensDetails; this.ToolUsePromptTokenCount = toolUsePromptTokenCount; - this.TotalTokenCount = totalTokenCount; + this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; this.PromptTokensDetails = promptTokensDetails; - this.CacheTokensDetails = cacheTokensDetails; + this.ThoughtsTokenCount = thoughtsTokenCount; this.PromptTokenCount = promptTokenCount; - this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; - this.CandidatesTokenCount = candidatesTokenCount; this.CachedContentTokenCount = cachedContentTokenCount; - this.ThoughtsTokenCount = thoughtsTokenCount; + this.CandidatesTokenCount = candidatesTokenCount; this.CandidatesTokensDetails = candidatesTokensDetails; + this.TotalTokenCount = totalTokenCount; 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 3719af7e..96e74ccb 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 @@ -10,11 +10,11 @@ namespace Google.Gemini public sealed partial class VideoMetadata { /// - /// Optional. The start offset of the video. + /// Optional. The end offset of the video. /// - [global::System.Text.Json.Serialization.JsonPropertyName("startOffset")] + [global::System.Text.Json.Serialization.JsonPropertyName("endOffset")] [global::System.Obsolete("This property marked as deprecated.")] - public string? StartOffset { get; set; } + public string? EndOffset { 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]. @@ -24,11 +24,11 @@ public sealed partial class VideoMetadata public double? Fps { get; set; } /// - /// Optional. The end offset of the video. + /// Optional. The start offset of the video. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endOffset")] + [global::System.Text.Json.Serialization.JsonPropertyName("startOffset")] [global::System.Obsolete("This property marked as deprecated.")] - public string? EndOffset { get; set; } + public string? StartOffset { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -39,26 +39,26 @@ public sealed partial class VideoMetadata /// /// Initializes a new instance of the class. /// - /// - /// Optional. The start offset of the video. + /// + /// Optional. The end offset of the video. /// /// /// Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. /// - /// - /// Optional. The 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, + string? endOffset, double? fps, - string? endOffset) + string? startOffset) { - this.StartOffset = startOffset; - this.Fps = fps; this.EndOffset = endOffset; + this.Fps = fps; + this.StartOffset = startOffset; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs index 31d654f1..76dde679 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class Web { /// - /// Output only. Title of the chunk.
+ /// Output only. URI reference of the chunk.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Output only. URI reference of the chunk.
+ /// Output only. Title of the chunk.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class Web /// /// Initializes a new instance of the class. /// - /// - /// Output only. Title of the chunk.
- /// Included only in responses - /// /// /// Output only. URI reference of the chunk.
/// Included only in responses /// + /// + /// Output only. Title of the chunk.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Web( - string? title, - string? uri) + string? uri, + string? title) { - this.Title = title; this.Uri = uri; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index b860c85f..c5c18bed 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,19 +11,19 @@ } ], "paths": { - "/files/{filesId}": { + "/fileSearchStores/{fileSearchStoresId}": { "get": { - "description": "Gets the metadata for the given `File`.", - "operationId": "files.get", + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "filesId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -33,7 +33,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -41,17 +41,25 @@ } }, "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "filesId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -69,50 +77,27 @@ } } }, - "/files": { - "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + "/fileSearchStores/{fileSearchStoresId}:importFile": { + "post": { + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { - "type": "string" + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListFilesResponse" - } - } - } - } - } - }, - "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileRequest" + "$ref": "#/components/schemas/ImportFileRequest" } } } @@ -123,7 +108,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -131,15 +116,15 @@ } } }, - "/files:register": { + "/fileSearchStores": { "post": { - "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", - "operationId": "files.register", + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesRequest" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -150,55 +135,42 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesResponse" + "$ref": "#/components/schemas/FileSearchStore" } } } } } - } - }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + }, + "get": { + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ { - "name": "batchesId", - "in": "path", - "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "type": "integer", + "format": "int32" } }, { - "name": "updateMask", + "name": "pageToken", "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", "schema": { - "type": "string", - "format": "google-fieldmask" + "type": "string" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" } } } @@ -206,19 +178,27 @@ } } }, - "/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", + "/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": "batchesId", + "name": "operationsId", "in": "path", "required": true, - "description": "The name of the operation resource to be deleted.", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], @@ -228,25 +208,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "batches.get", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "batchesId", + "name": "operationsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], @@ -264,19 +254,35 @@ } } }, - "/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", + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { + "delete": { + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.delete", "parameters": [ { - "name": "batchesId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "schema": { + "type": "string" + } + }, + { + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], @@ -292,49 +298,37 @@ } } } - } - }, - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + }, + "get": { + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "batchesId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "type": "string" } }, { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "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/Document" } } } @@ -342,23 +336,15 @@ } } }, - "/batches": { + "/fileSearchStores/{fileSearchStoresId}/documents": { "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "batches.list", + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. 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" @@ -367,17 +353,19 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", "schema": { "type": "string" } }, { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", "schema": { - "type": "boolean" + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -387,7 +375,82 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListDocumentsResponse" + } + } + } + } + } + } + }, + "/generatedFiles": { + "get": { + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListGeneratedFilesResponse" + } + } + } + } + } + } + }, + "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "generatedFiles.operations.get", + "parameters": [ + { + "name": "operationsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "generatedFilesId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", + "schema": { + "type": "string", + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" } } } @@ -458,23 +521,15 @@ } }, "/corpora/{corporaId}": { - "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.delete", + "get": { + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", "parameters": [ - { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, { "name": "corporaId", "in": "path", "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", "pattern": "^corpora/[^/]+$" @@ -487,22 +542,30 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Corpus" } } } } } }, - "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", + "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 name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", "pattern": "^corpora/[^/]+$" @@ -515,7 +578,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/Empty" } } } @@ -523,13 +586,13 @@ } } }, - "/corpora/{corporaId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "corpora.operations.get", + "/corpora/{corporaId}/permissions/{permissionsId}": { + "delete": { + "description": "Deletes the permission.", + "operationId": "corpora.permissions.delete", "parameters": [ { - "name": "operationsId", + "name": "permissionsId", "in": "path", "required": true, "schema": { @@ -540,10 +603,10 @@ "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -553,15 +616,13 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/corpora/{corporaId}/permissions/{permissionsId}": { + }, "patch": { "description": "Updates the permission.", "operationId": "corpora.permissions.patch", @@ -616,42 +677,6 @@ } } }, - "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", - "parameters": [ - { - "name": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } - } - } - } - } - }, "get": { "description": "Gets information about a specific Permission.", "operationId": "corpora.permissions.get", @@ -773,6 +798,44 @@ } } }, + "/corpora/{corporaId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "corpora.operations.get", + "parameters": [ + { + "name": "operationsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+/operations/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + } + }, "/dynamic/{dynamicId}:generateContent": { "post": { "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", @@ -856,66 +919,50 @@ } } }, - "/models/{modelsId}:countTokens": { - "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", + "/files": { + "get": { + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", "parameters": [ { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { - "type": "string", - "pattern": "^models/[^/]+$" + "type": "integer", + "format": "int32" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CountTokensRequest" - } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListFiles` call.", + "schema": { + "type": "string" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/ListFilesResponse" } } } } } - } - }, - "/models/{modelsId}:streamGenerateContent": { + }, "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", - "parameters": [ - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - } - ], + "description": "Creates a `File`.", + "operationId": "media.upload", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/CreateFileRequest" } } } @@ -926,12 +973,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/CreateFileResponse" } } } @@ -939,27 +981,15 @@ } } }, - "/models/{modelsId}:embedContent": { + "/files:register": { "post": { - "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", - "operationId": "models.embedContent", - "parameters": [ - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - } - ], + "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", + "operationId": "files.register", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" + "$ref": "#/components/schemas/RegisterFilesRequest" } } } @@ -970,7 +1000,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/RegisterFilesResponse" } } } @@ -978,77 +1008,57 @@ } } }, - "/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", + "/files/{filesId}": { + "get": { + "description": "Gets the metadata for the given `File`.", + "operationId": "files.get", "parameters": [ { - "name": "modelsId", + "name": "filesId", "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 `File` to get. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^files/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/File" } } } } } - } - }, - "/models/{modelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", + }, + "delete": { + "description": "Deletes the `File`.", + "operationId": "files.delete", "parameters": [ { - "name": "modelsId", + "name": "filesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^files/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -1056,19 +1066,28 @@ } } }, - "/models/{modelsId}:batchEmbedContents": { - "post": { - "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", - "operationId": "models.batchEmbedContents", + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", "parameters": [ { - "name": "modelsId", + "name": "batchesId", "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": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -1076,7 +1095,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -1087,7 +1106,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -1095,19 +1114,42 @@ } } }, - "/models/{modelsId}": { + "/batches": { "get": { - "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", - "operationId": "models.get", + "description": "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": "modelsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "name": "filter", + "in": "query", + "description": "The standard list filter.", "schema": { - "type": "string", - "pattern": "^models/[^/]+$" + "type": "string" + } + }, + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } ], @@ -1117,7 +1159,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -1125,38 +1167,29 @@ } } }, - "/models/{modelsId}:batchGenerateContent": { + "/batches/{batchesId}:cancel": { "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", "parameters": [ { - "name": "modelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -1164,26 +1197,19 @@ } } }, - "/models": { - "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + "/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", "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.", + "name": "batchesId", + "in": "path", + "required": true, + "description": "The name of the operation resource to be deleted.", "schema": { - "type": "string" + "type": "string", + "pattern": "^batches/[^/]+$" } } ], @@ -1193,60 +1219,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/models/{modelsId}/operations": { + }, "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "models.operations.list", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "batches.get", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "modelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "The name of the operation's parent resource.", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" - } - }, - { - "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": "^batches/[^/]+$" } } ], @@ -1256,7 +1247,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1264,37 +1255,47 @@ } } }, - "/models/{modelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "models.operations.get", + "/batches/{batchesId}:updateGenerateContentBatch": { + "patch": { + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", "parameters": [ { - "name": "operationsId", + "name": "batchesId", "in": "path", "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^batches/[^/]+$" } }, { - "name": "modelsId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", "schema": { "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentBatch" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -1303,6 +1304,31 @@ } }, "/cachedContents": { + "post": { + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } + } + } + }, "get": { "description": "Lists CachedContents.", "operationId": "cachedContents.list", @@ -1337,43 +1363,18 @@ } } } - }, - "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } - } - } - } } }, "/cachedContents/{cachedContentsId}": { - "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.get", + "delete": { + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", "parameters": [ { "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", "schema": { "type": "string", "pattern": "^cachedContents/[^/]+$" @@ -1386,7 +1387,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Empty" } } } @@ -1439,15 +1440,15 @@ } } }, - "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", + "get": { + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.get", "parameters": [ { "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { "type": "string", "pattern": "^cachedContents/[^/]+$" @@ -1460,7 +1461,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1468,19 +1469,19 @@ } } }, - "/tunedModels/{tunedModelsId}:streamGenerateContent": { + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { "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", + "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -1488,7 +1489,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" } } } @@ -1499,12 +1500,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } @@ -1512,56 +1508,19 @@ } } }, - "/tunedModels/{tunedModelsId}": { - "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } - } - } - } - } - }, - "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + "/models/{modelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "models.streamGenerateContent", "parameters": [ { - "name": "tunedModelsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^models/[^/]+$" } } ], @@ -1569,7 +1528,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1580,25 +1539,32 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, + } + }, + "/models/{modelsId}": { "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.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": "tunedModelsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1608,7 +1574,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Model" } } } @@ -1616,19 +1582,19 @@ } } }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "/models/{modelsId}: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": "models.generateContent", "parameters": [ { - "name": "tunedModelsId", + "name": "modelsId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1636,7 +1602,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1647,7 +1613,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1655,19 +1621,19 @@ } } }, - "/tunedModels/{tunedModelsId}:generateContent": { + "/models/{modelsId}:asyncBatchEmbedContent": { "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", + "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": "tunedModelsId", + "name": "modelsId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1675,7 +1641,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -1686,7 +1652,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1694,58 +1660,15 @@ } } }, - "/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", + "/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": "tunedModelId", + "name": "pageSize", "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": "Lists created tuned models.", - "operationId": "tunedModels.list", - "parameters": [ - { - "name": "filter", - "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", - "schema": { - "type": "string" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "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" @@ -1754,7 +1677,7 @@ { "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": "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" } @@ -1766,7 +1689,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" + "$ref": "#/components/schemas/ListModelsResponse" } } } @@ -1774,19 +1697,19 @@ } } }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "/models/{modelsId}:batchEmbedContents": { "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + "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": "tunedModelsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1794,7 +1717,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/BatchEmbedContentsRequest" } } } @@ -1805,7 +1728,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } @@ -1813,19 +1736,19 @@ } } }, - "/tunedModels/{tunedModelsId}:transferOwnership": { + "/models/{modelsId}:embedContent": { "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 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": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "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": "^tunedModels/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1833,7 +1756,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" + "$ref": "#/components/schemas/EmbedContentRequest" } } } @@ -1844,7 +1767,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -1852,85 +1775,91 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "/models/{modelsId}:countTokens": { + "post": { + "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", + "operationId": "models.countTokens", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", + "name": "modelsId", "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 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": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CountTokensRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/CountTokensResponse" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + } + }, + "/models/{modelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + } + }, + "/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, "schema": { @@ -1938,41 +1867,23 @@ } }, { - "name": "permissionsId", + "name": "modelsId", "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/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "The name of the operation resource.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } @@ -1980,15 +1891,33 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions": { + "/models/{modelsId}/operations": { "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "models.operations.list", "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -1997,19 +1926,17 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "description": "The standard list 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}`", + "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": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "boolean" } } ], @@ -2019,22 +1946,24 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } } } - }, + } + }, + "/tunedModels/{tunedModelsId}:streamGenerateContent": { "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "tunedModels.streamGenerateContent", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^tunedModels/[^/]+$" @@ -2045,7 +1974,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -2056,7 +1985,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -2064,27 +1998,19 @@ } } }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "/tunedModels/{tunedModelsId}": { "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "tunedModels.operations.get", + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { - "type": "string" - } - }, - { - "name": "operationsId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], @@ -2094,109 +2020,81 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/TunedModel" } } } } } - } - }, - "/tunedModels/{tunedModelsId}/operations": { - "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "tunedModels.operations.list", + }, + "patch": { + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, { "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation's parent resource.", + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", "schema": { "type": "string", "pattern": "^tunedModels/[^/]+$" } }, { - "name": "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", + "name": "updateMask", "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.", + "description": "Optional. The list of fields to update.", "schema": { - "type": "boolean" + "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/ListOperationsResponse" + "$ref": "#/components/schemas/TunedModel" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { - "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", + }, + "delete": { + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/Empty" } } } @@ -2204,36 +2102,38 @@ } } }, - "/generatedFiles": { - "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.list", + "/tunedModels/{tunedModelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -2241,30 +2141,31 @@ } } }, - "/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", + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "generatedFilesId", + "name": "tunedModelsId", "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": "^generatedFiles/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", @@ -2279,15 +2180,27 @@ } } }, - "/fileSearchStores": { + "/tunedModels/{tunedModelsId}:transferOwnership": { "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", + "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", + "operationId": "tunedModels.transferOwnership", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/TransferOwnershipRequest" } } } @@ -2298,21 +2211,31 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } } } - }, + } + }, + "/tunedModels": { "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + "description": "Lists created tuned models.", + "operationId": "tunedModels.list", "parameters": [ + { + "name": "filter", + "in": "query", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", + "schema": { + "type": "string" + } + }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `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. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -2321,7 +2244,7 @@ { "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, 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" } @@ -2333,73 +2256,81 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}": { - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", + }, + "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": "force", + "name": "tunedModelId", "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": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "type": "string" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + } + }, + "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Operation" } } } @@ -2407,38 +2338,62 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { - "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", + "/tunedModels/{tunedModelsId}/operations": { + "get": { + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "tunedModels.operations.list", "parameters": [ { - "name": "fileSearchStoresId", + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "The name of the operation's parent resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ImportFileRequest" - } + }, + { + "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": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -2446,13 +2401,13 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "/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": "fileSearchStores.upload.operations.get", + "operationId": "tunedModels.operations.get", "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -2460,13 +2415,13 @@ } }, { - "name": "fileSearchStoresId", + "name": "operationsId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" } } ], @@ -2484,13 +2439,13 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", "parameters": [ { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -2498,21 +2453,13 @@ } }, { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "documentsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -2522,19 +2469,19 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Permission" } } } } } }, - "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "parameters": [ { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -2542,13 +2489,13 @@ } }, { - "name": "documentsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -2558,54 +2505,61 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}/documents": { - "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + }, + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", + "name": "tunedModelsId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `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": "permissionsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } }, { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/Permission" } } } @@ -2613,27 +2567,73 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", + "/tunedModels/{tunedModelsId}/permissions": { + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + } + } + }, + "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": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -2643,7 +2643,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -2654,10 +2654,28 @@ }, "components": { "schemas": { - "DynamicRetrievalConfig": { + "ListTunedModelsResponse": { "type": "object", + "description": "Response from `ListTunedModels` containing a paginated list of Models.", + "properties": { + "tunedModels": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TunedModel" + }, + "description": "The returned Models." + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" + } + } + }, + "DynamicRetrievalConfig": { + "description": "Describes the options to customize dynamic retrieval.", "properties": { "mode": { + "type": "string", "description": "The mode of the predictor to be used in dynamic retrieval.", "x-enum-descriptions": [ "Always trigger retrieval.", @@ -2666,8 +2684,7 @@ "enum": [ "MODE_UNSPECIFIED", "MODE_DYNAMIC" - ], - "type": "string" + ] }, "dynamicThreshold": { "type": "number", @@ -2675,1356 +2692,1289 @@ "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used." } }, - "description": "Describes the options to customize dynamic retrieval." + "type": "object" }, - "TuningTask": { + "CountTokensResponse": { + "type": "object", + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", "properties": { - "startTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp when tuning this model started.", - "readOnly": true + "cachedContentTokenCount": { + "description": "Number of tokens in the cached part of the prompt (the cached content).", + "type": "integer", + "format": "int32" }, - "snapshots": { - "type": "array", + "cacheTokensDetails": { + "description": "Output only. List of modalities that were processed in the cached content.", "items": { - "$ref": "#/components/schemas/TuningSnapshot" + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "Output only. Metrics collected during tuning.", - "readOnly": true + "readOnly": true, + "type": "array" }, - "hyperparameters": { - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", - "$ref": "#/components/schemas/Hyperparameters" + "totalTokens": { + "type": "integer", + "format": "int32", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative." }, - "completeTime": { - "description": "Output only. The timestamp when tuning this model completed.", + "promptTokensDetails": { "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input." } - }, - "type": "object", - "description": "Tuning tasks that create tuned models." + } }, - "BatchStats": { - "type": "object", + "InlinedEmbedContentResponses": { + "description": "The responses to the requests in the batch.", "properties": { - "requestCount": { - "type": "string", - "format": "int64", - "description": "Output only. The number of requests in the batch.", - "readOnly": true - }, - "pendingRequestCount": { - "description": "Output only. The number of requests that are still pending processing.", - "readOnly": true, - "type": "string", - "format": "int64" - }, - "failedRequestCount": { - "type": "string", - "format": "int64", - "description": "Output only. The number of requests that failed to be processed.", - "readOnly": true - }, - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", + "inlinedResponses": { + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentResponse" + }, + "description": "Output only. The responses to the requests in the batch.", "readOnly": true, - "type": "string", - "format": "int64" + "type": "array" } }, - "description": "Stats about the batch." - }, - "ImageSearch": { - "description": "Image search for grounding and related configurations.", - "properties": {}, "type": "object" }, - "TunedModel": { + "CreateFileResponse": { + "type": "object", + "description": "Response for `CreateFile`.", "properties": { - "createTime": { - "description": "Output only. The timestamp when this model was created.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" - }, - "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", - "type": "string" - }, - "state": { - "description": "Output only. The state of the tuned model.", - "readOnly": true, - "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" - ], - "type": "string" - }, - "updateTime": { - "description": "Output only. The timestamp when this model was updated.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" + } + } + }, + "McpServer": { + "type": "object", + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", + "properties": { + "streamableHttpTransport": { + "$ref": "#/components/schemas/StreamableHttpTransport", + "description": "A transport that can stream HTTP requests and responses." }, "name": { - "type": "string", - "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 - }, - "temperature": { - "type": "number", - "format": "float", - "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model." - }, - "topK": { - "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", - "type": "integer", - "format": "int32" - }, - "readerProjectNumbers": { - "type": "array", - "items": { - "type": "string", - "format": "int64" - }, - "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." - }, - "description": { - "description": "Optional. A short description of this model.", + "description": "The name of the MCPServer.", "type": "string" - }, - "topP": { - "type": "number", - "format": "float", - "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." } - }, + } + }, + "InlinedRequests": { "type": "object", - "description": "A fine-tuned model created using ModelService.CreateTunedModel." + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "properties": { + "requests": { + "items": { + "$ref": "#/components/schemas/InlinedRequest" + }, + "description": "Required. The requests to be processed in the batch.", + "type": "array" + } + } }, - "BatchEmbedContentsResponse": { + "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": { - "embeddings": { + "contents": { "type": "array", "items": { - "$ref": "#/components/schemas/ContentEmbedding" + "$ref": "#/components/schemas/Content" }, - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", - "readOnly": true + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set." }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata" + "generateContentRequest": { + "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", + "$ref": "#/components/schemas/GenerateContentRequest" } - }, - "description": "The response to a `BatchEmbedContentsRequest`." + } }, - "EmbedContentBatchOutput": { + "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": { - "responsesFile": { - "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.", - "readOnly": true + "latitude": { + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "type": "number", + "format": "double" }, - "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, - "$ref": "#/components/schemas/InlinedEmbedContentResponses" + "longitude": { + "type": "number", + "format": "double", + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0]." } }, - "type": "object", - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field." + "type": "object" }, - "VoiceConfig": { + "InlinedRequest": { + "description": "The request to be processed in the batch.", "properties": { - "prebuiltVoiceConfig": { - "description": "The configuration for the prebuilt voice to use.", - "$ref": "#/components/schemas/PrebuiltVoiceConfig" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" + }, + "metadata": { + "type": "object", + "description": "Optional. The metadata to be associated with the request.", + "additionalProperties": { + "description": "Properties of the object." + } } }, - "type": "object", - "description": "The configuration for the voice to use." + "type": "object" }, - "InlinedRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "BatchEmbedContentsResponse": { + "description": "The response to a `BatchEmbedContentsRequest`.", "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", + "embeddings": { + "readOnly": true, "type": "array", + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", "items": { - "$ref": "#/components/schemas/InlinedRequest" + "$ref": "#/components/schemas/ContentEmbedding" } + }, + "usageMetadata": { + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "description": "Output only. The usage metadata for the request.", + "readOnly": true } }, "type": "object" }, - "ToolConfig": { - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "ListCachedContentsResponse": { + "type": "object", + "description": "Response with CachedContents list.", "properties": { - "functionCallingConfig": { - "description": "Optional. Function calling config.", - "$ref": "#/components/schemas/FunctionCallingConfig" - }, - "retrievalConfig": { - "description": "Optional. Retrieval config.", - "$ref": "#/components/schemas/RetrievalConfig" + "cachedContents": { + "items": { + "$ref": "#/components/schemas/CachedContent" + }, + "description": "List of cached contents.", + "type": "array" }, - "includeServerSideToolInvocations": { - "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", - "type": "boolean" + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", + "type": "string" } - }, - "type": "object" + } }, - "SpeechConfig": { - "description": "Config for speech generation and transcription.", + "FileData": { + "description": "URI based data.", "properties": { - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" - }, - "languageCode": { - "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", "type": "string" }, - "voiceConfig": { - "description": "The configuration in case of single-voice output.", - "$ref": "#/components/schemas/VoiceConfig" + "fileUri": { + "description": "Required. URI.", + "type": "string" } }, "type": "object" }, - "InlinedEmbedContentRequests": { + "WebSearch": { "type": "object", + "description": "Standard web search for grounding and related configurations.", + "properties": {} + }, + "GoogleSearchRetrieval": { + "description": "Tool to retrieve public web data for grounding, powered by Google.", "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" - } + "dynamicRetrievalConfig": { + "description": "Specifies the dynamic retrieval configuration for the given source.", + "$ref": "#/components/schemas/DynamicRetrievalConfig" } }, - "description": "The requests to be processed in the batch if provided as part of the batch creation request." + "type": "object" }, - "FunctionResponseBlob": { - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "RetrievalMetadata": { + "type": "object", + "description": "Metadata related to retrieval in the grounding flow.", "properties": { - "data": { - "description": "Raw bytes for media formats.", + "googleSearchDynamicRetrievalScore": { + "type": "number", + "format": "float", + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search." + } + } + }, + "TransferOwnershipRequest": { + "type": "object", + "description": "Request to transfer the ownership of the tuned model.", + "properties": { + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + "type": "string" + } + } + }, + "StreamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "properties": { + "sseReadTimeout": { "type": "string", - "format": "byte" + "format": "google-duration", + "description": "Timeout for SSE read operations." }, - "mimeType": { + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "type": "string" + }, + "timeout": { + "description": "HTTP timeout for regular operations.", "type": "string", - "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)." + "format": "google-duration" + }, + "headers": { + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "additionalProperties": { + "type": "string" + }, + "type": "object" + }, + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" } }, "type": "object" }, - "ThinkingConfig": { - "description": "Config for thinking features.", + "GenerateContentRequest": { + "description": "Request to generate a completion from the model.", "properties": { - "thinkingBudget": { - "description": "The number of thoughts tokens that the model should generate.", - "type": "integer", - "format": "int32" + "generationConfig": { + "$ref": "#/components/schemas/GenerationConfig", + "description": "Optional. Configuration options for model generation and outputs." }, - "thinkingLevel": { + "contents": { + "items": { + "$ref": "#/components/schemas/Content" + }, + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", + "type": "array" + }, + "tools": { + "items": { + "$ref": "#/components/schemas/Tool" + }, + "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", + "type": "array" + }, + "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" + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "safetySettings": { + "items": { + "$ref": "#/components/schemas/SafetySetting" + }, + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", + "type": "array" + }, + "systemInstruction": { + "$ref": "#/components/schemas/Content", + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only." + }, + "store": { + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", + "type": "boolean" + }, + "toolConfig": { + "$ref": "#/components/schemas/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." + }, + "serviceTier": { "type": "string", - "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", + "description": "Optional. The service tier of the request.", "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." ], "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" + "unspecified", + "standard", + "flex", + "priority" ] + } + }, + "type": "object" + }, + "CodeExecutionResult": { + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", + "properties": { + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "type": "string" }, - "includeThoughts": { - "type": "boolean", - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available." + "outcome": { + "type": "string", + "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" + ] + }, + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "type": "string" } }, "type": "object" }, - "Document": { + "UrlMetadata": { "type": "object", + "description": "Context of the a single url retrieval.", "properties": { - "updateTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Document` was last updated.", - "readOnly": true + "retrievedUrl": { + "description": "Retrieved url by the tool.", + "type": "string" }, - "state": { + "urlRetrievalStatus": { "type": "string", + "description": "Status of the url retrieval.", "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." + "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": [ - "STATE_UNSPECIFIED", - "STATE_PENDING", - "STATE_ACTIVE", - "STATE_FAILED" - ], - "description": "Output only. Current state of the `Document`.", - "readOnly": true + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" + ] + } + } + }, + "Corpus": { + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", + "properties": { + "name": { + "readOnly": true, + "type": "string", + "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`" }, "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\"", + "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", "type": "string" }, "createTime": { - "description": "Output only. The Timestamp of when the `Document` was created.", + "description": "Output only. The Timestamp of when the `Corpus` was created.", "readOnly": true, "type": "string", "format": "google-datetime" }, - "sizeBytes": { - "type": "string", - "format": "int64", - "description": "Output only. The size of raw bytes ingested into the Document.", - "readOnly": true - }, - "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`" - }, - "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" - } - }, - "mimeType": { - "description": "Output only. The mime type of the Document.", + "updateTime": { + "description": "Output only. The Timestamp of when the `Corpus` was last updated.", "readOnly": true, - "type": "string" + "type": "string", + "format": "google-datetime" } }, - "description": "A `Document` is a collection of `Chunk`s." + "type": "object" }, - "InlinedResponse": { + "Schema": { + "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", "properties": { - "response": { - "description": "Output only. The response to the request.", - "readOnly": true, - "$ref": "#/components/schemas/GenerateContentResponse" + "required": { + "type": "array", + "description": "Optional. Required properties of Type.OBJECT.", + "items": { + "type": "string" + } }, - "error": { - "description": "Output only. The error encountered while processing the request.", - "readOnly": true, - "$ref": "#/components/schemas/Status" + "maxProperties": { + "description": "Optional. Maximum number of the properties for Type.OBJECT.", + "type": "string", + "format": "int64" }, - "metadata": { - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object", - "description": "Output only. The metadata associated with the request.", - "readOnly": true - } - }, - "type": "object", - "description": "The response to a single request in the batch." - }, - "CreateFileResponse": { - "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" - } - }, - "type": "object", - "description": "Response for `CreateFile`." - }, - "PlaceAnswerSources": { - "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", - "properties": { - "reviewSnippets": { - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" + }, + "minItems": { + "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "type": "string", + "format": "int64" + }, + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." + }, + "title": { + "description": "Optional. The title of the schema.", + "type": "string" + }, + "properties": { + "description": "Optional. Properties of Type.OBJECT.", + "additionalProperties": { + "$ref": "#/components/schemas/Schema" + }, + "type": "object" + }, + "maximum": { + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", + "type": "number", + "format": "double" + }, + "anyOf": { + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "items": { + "$ref": "#/components/schemas/Schema" + }, + "type": "array" + }, + "format": { + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", + "type": "string" + }, + "minProperties": { + "description": "Optional. Minimum number of the properties for Type.OBJECT.", + "type": "string", + "format": "int64" + }, + "enum": { "type": "array", "items": { - "$ref": "#/components/schemas/ReviewSnippet" + "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\"]}" + }, + "maxItems": { + "description": "Optional. Maximum number of the elements for Type.ARRAY.", + "type": "string", + "format": "int64" + }, + "propertyOrdering": { + "type": "array", + "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", + "items": { + "type": "string" } + }, + "minimum": { + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", + "type": "number", + "format": "double" + }, + "pattern": { + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", + "type": "string" + }, + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + "type": "string" + }, + "default": { + "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." + }, + "minLength": { + "type": "string", + "format": "int64", + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING" + }, + "maxLength": { + "type": "string", + "format": "int64", + "description": "Optional. Maximum length of the Type.STRING" + }, + "type": { + "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" + ], + "type": "string" + }, + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" } }, "type": "object" }, - "LogprobsResult": { - "type": "object", + "FunctionDeclaration": { + "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", "properties": { - "logProbabilitySum": { - "type": "number", - "format": "float", - "description": "Sum of log probabilities for all tokens." + "parametersJsonSchema": { + "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." }, - "topCandidates": { - "description": "Length = total number of decoding steps.", - "type": "array", - "items": { - "$ref": "#/components/schemas/TopCandidates" - } + "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`." }, - "chosenCandidates": { - "type": "array", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - }, - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates." + "response": { + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", + "$ref": "#/components/schemas/Schema" + }, + "behavior": { + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", + "x-enum-descriptions": [ + "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" + ], + "type": "string" + }, + "description": { + "description": "Required. A brief description of the function.", + "type": "string" + }, + "parameters": { + "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", + "$ref": "#/components/schemas/Schema" + }, + "name": { + "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", + "type": "string" } }, - "description": "Logprobs Result" + "type": "object" }, - "ListCorporaResponse": { + "SearchEntryPoint": { + "type": "object", + "description": "Google search entry point.", "properties": { - "corpora": { - "description": "The returned corpora.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Corpus" - } - }, - "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.", + "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." } - }, + } + }, + "EmbedContentResponse": { "type": "object", - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`." + "description": "The response to an `EmbedContentRequest`.", + "properties": { + "embedding": { + "readOnly": true, + "description": "Output only. The embedding generated from the input content.", + "$ref": "#/components/schemas/ContentEmbedding" + }, + "usageMetadata": { + "readOnly": true, + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata" + } + } }, - "MultiSpeakerVoiceConfig": { - "description": "The configuration for the multi-speaker setup.", + "InlinedEmbedContentRequests": { "type": "object", + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "properties": { - "speakerVoiceConfigs": { - "description": "Required. All the enabled speaker voices.", + "requests": { "type": "array", "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" - } + "$ref": "#/components/schemas/InlinedEmbedContentRequest" + }, + "description": "Required. The requests to be processed in the batch." } } }, - "GoogleMaps": { - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", + "InlinedResponses": { "type": "object", + "description": "The responses to the requests in the batch.", "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" + "inlinedResponses": { + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedResponse" + }, + "description": "Output only. The responses to the requests in the batch." } } }, - "ListTunedModelsResponse": { + "LogprobsResult": { + "description": "Logprobs Result", "properties": { - "tunedModels": { - "description": "The returned Models.", + "logProbabilitySum": { + "description": "Sum of log probabilities for all tokens.", + "type": "number", + "format": "float" + }, + "topCandidates": { "type": "array", "items": { - "$ref": "#/components/schemas/TunedModel" - } + "$ref": "#/components/schemas/TopCandidates" + }, + "description": "Length = total number of decoding steps." }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + "chosenCandidates": { + "type": "array", + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + } } }, - "type": "object", - "description": "Response from `ListTunedModels` containing a paginated list of Models." + "type": "object" }, - "EmbedContentConfig": { - "description": "Configurations for the EmbedContent request.", + "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": { - "documentOcr": { - "type": "boolean", - "description": "Optional. Whether to enable OCR for document content." - }, - "taskType": { - "description": "Optional. The task type of the embedding.", - "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." - ], + "modelStage": { "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" + ], + "enumDeprecated": [ + false, + true, + false, + false, + false, + false, + true, + false ], - "type": "string" - }, - "title": { "type": "string", - "description": "Optional. The title for the text." - }, - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", - "type": "boolean" + "description": "The stage of the underlying model.", + "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." + ] }, - "audioTrackExtraction": { - "type": "boolean", - "description": "Optional. Whether to extract audio from video content." + "retirementTime": { + "description": "The time at which the model will be retired.", + "type": "string", + "format": "google-datetime" }, - "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." + "message": { + "description": "A message explaining the model status.", + "type": "string" } } }, - "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.", + "CustomMetadata": { "type": "object", - "properties": {} - }, - "EmbedContentRequest": { + "description": "User provided metadata stored as key-value pairs.", "properties": { - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" - }, - "title": { - "type": "string", - "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", - "deprecated": true - }, - "embedContentConfig": { - "description": "Optional. Configuration for the EmbedContent request.", - "$ref": "#/components/schemas/EmbedContentConfig" + "stringValue": { + "description": "The string value of the metadata to store.", + "type": "string" }, - "taskType": { - "type": "string", - "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." - ], - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ], - "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 + "stringListValue": { + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" }, - "outputDimensionality": { - "type": "integer", - "format": "int32", - "deprecated": true, - "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`)." + "numericValue": { + "type": "number", + "format": "float", + "description": "The numeric value of the metadata to store." }, - "model": { - "type": "string", - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`" + "key": { + "description": "Required. The key of the metadata to store.", + "type": "string" } - }, - "type": "object", - "description": "Request containing the `Content` for the model to embed." + } }, - "ListPermissionsResponse": { - "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "TuningExample": { "type": "object", + "description": "A single example for tuning.", "properties": { - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "output": { + "description": "Required. The expected model output.", + "type": "string" }, - "permissions": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Permission" - }, - "description": "Returned permissions." + "textInput": { + "description": "Optional. Text model input.", + "type": "string" } } }, - "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", + "ToolCall": { + "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", "properties": { - "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" - }, - "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.", + "id": { + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", "type": "string" }, - "name": { - "type": "string", - "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 + "args": { + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object" }, - "role": { - "type": "string", - "description": "Required. The role granted by this permission.", + "toolType": { + "description": "Required. The type of tool that was called.", "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." + "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": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" - ] + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], + "type": "string" } }, "type": "object" }, - "GoogleSearchRetrieval": { - "description": "Tool to retrieve public web data for grounding, powered by Google.", + "CreateFileRequest": { + "type": "object", + "description": "Request for `CreateFile`.", "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" + "file": { + "$ref": "#/components/schemas/File", + "description": "Optional. Metadata for the file to create." } - }, - "type": "object" + } }, - "FileData": { + "ListCorporaResponse": { "type": "object", + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", "properties": { - "mimeType": { - "description": "Optional. The IANA standard MIME type of the source data.", + "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" }, - "fileUri": { - "type": "string", - "description": "Required. URI." + "corpora": { + "description": "The returned corpora.", + "items": { + "$ref": "#/components/schemas/Corpus" + }, + "type": "array" } - }, - "description": "URI based data." + } }, - "Schema": { + "Part": { + "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "properties": { - "default": { - "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" }, - "enum": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}" + "partMetadata": { + "type": "object", + "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", + "additionalProperties": { + "description": "Properties of the object." + } }, - "maxLength": { - "description": "Optional. Maximum length of the Type.STRING", - "type": "string", - "format": "int64" + "fileData": { + "$ref": "#/components/schemas/FileData", + "description": "URI based data." }, - "pattern": { - "type": "string", - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression." + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" }, - "nullable": { - "type": "boolean", - "description": "Optional. Indicates if the value may be null." + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" }, - "minimum": { - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" + "codeExecutionResult": { + "$ref": "#/components/schemas/CodeExecutionResult", + "description": "Result of executing the `ExecutableCode`." }, - "minItems": { - "type": "string", - "format": "int64", - "description": "Optional. Minimum number of the elements for Type.ARRAY." + "executableCode": { + "$ref": "#/components/schemas/ExecutableCode", + "description": "Code generated by the model that is meant to be executed." }, - "properties": { - "description": "Optional. Properties of Type.OBJECT.", - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/Schema" - } + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" }, - "maxProperties": { - "description": "Optional. Maximum number of the properties for Type.OBJECT.", - "type": "string", - "format": "int64" + "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.", + "$ref": "#/components/schemas/ToolCall" }, - "minLength": { - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", - "type": "string", - "format": "int64" + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" }, - "anyOf": { - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Schema" - } + "functionResponse": { + "$ref": "#/components/schemas/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." }, - "format": { + "thoughtSignature": { "type": "string", - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality." + "format": "byte", + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests." }, - "type": { - "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" - ], + "text": { + "description": "Inline text.", "type": "string" }, - "maxItems": { + "toolResponse": { + "$ref": "#/components/schemas/ToolResponse", + "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`." + } + }, + "type": "object" + }, + "Candidate": { + "description": "A response candidate generated from the model.", + "properties": { + "groundingMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/GroundingMetadata", + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls." + }, + "finishMessage": { + "readOnly": true, "type": "string", - "format": "int64", - "description": "Optional. Maximum number of the elements for Type.ARRAY." + "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set." }, - "maximum": { - "type": "number", - "format": "double", - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER" + "citationMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/CitationMetadata", + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data." }, - "description": { - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", - "type": "string" + "tokenCount": { + "readOnly": true, + "type": "integer", + "format": "int32", + "description": "Output only. Token count for this candidate." }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." + "finishReason": { + "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." + ], + "type": "string", + "enum": [ + "FINISH_REASON_UNSPECIFIED", + "STOP", + "MAX_TOKENS", + "SAFETY", + "RECITATION", + "LANGUAGE", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "SPII", + "MALFORMED_FUNCTION_CALL", + "IMAGE_SAFETY", + "IMAGE_PROHIBITED_CONTENT", + "IMAGE_OTHER", + "NO_IMAGE", + "IMAGE_RECITATION", + "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", + "MISSING_THOUGHT_SIGNATURE", + "MALFORMED_RESPONSE" + ], + "readOnly": true }, - "title": { - "description": "Optional. The title of the schema.", - "type": "string" + "safetyRatings": { + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", + "items": { + "$ref": "#/components/schemas/SafetyRating" + }, + "type": "array" }, - "required": { + "content": { + "readOnly": true, + "description": "Output only. Generated content returned from the model.", + "$ref": "#/components/schemas/Content" + }, + "groundingAttributions": { + "readOnly": true, "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/GroundingAttribution" }, - "description": "Optional. Required properties of Type.OBJECT." + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls." }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" + "urlContextMetadata": { + "$ref": "#/components/schemas/UrlContextMetadata", + "description": "Output only. Metadata related to url context retrieval tool.", + "readOnly": true }, - "minProperties": { - "description": "Optional. Minimum number of the properties for Type.OBJECT.", - "type": "string", - "format": "int64" + "index": { + "description": "Output only. Index of the candidate in the list of response candidates.", + "readOnly": true, + "type": "integer", + "format": "int32" }, - "propertyOrdering": { - "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", - "type": "array", - "items": { - "type": "string" - } - } - }, - "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)." - }, - "InlinedResponses": { - "type": "object", - "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", + "avgLogprobs": { "readOnly": true, - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedResponse" - } + "type": "number", + "format": "double", + "description": "Output only. Average log probability score of the candidate." + }, + "logprobsResult": { + "$ref": "#/components/schemas/LogprobsResult", + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "readOnly": true } }, - "description": "The responses to the requests in the batch." + "type": "object" }, - "ModalityTokenCount": { + "TransferOwnershipResponse": { "type": "object", + "description": "Response from `TransferOwnership`.", + "properties": {} + }, + "ThinkingConfig": { + "description": "Config for thinking features.", "properties": { - "tokenCount": { - "description": "Number of tokens.", + "thinkingBudget": { + "description": "The number of thoughts tokens that the model should generate.", "type": "integer", "format": "int32" }, - "modality": { - "description": "The modality associated with this token count.", + "includeThoughts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", + "type": "boolean" + }, + "thinkingLevel": { + "type": "string", + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", "x-enum-descriptions": [ - "Unspecified modality.", - "Plain text.", - "Image.", - "Video.", - "Audio.", - "Document, e.g. PDF." + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." ], "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ], - "type": "string" + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" + ] } }, - "description": "Represents token counting info for a single modality." + "type": "object" }, - "Web": { - "description": "Chunk from the web.", + "File": { + "description": "A file uploaded to the API. Next ID: 15", "properties": { - "title": { - "description": "Output only. Title of the chunk.", + "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" + }, + "updateTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` was last updated." + }, + "mimeType": { + "description": "Output only. MIME type of the file.", "readOnly": true, "type": "string" }, "uri": { - "description": "Output only. URI reference of the chunk.", + "description": "Output only. The uri of the `File`.", "readOnly": true, "type": "string" - } - }, - "type": "object" - }, - "EmbeddingUsageMetadata": { - "type": "object", - "properties": { - "promptTokenDetails": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true }, - "promptTokenCount": { - "type": "integer", - "format": "int32", - "description": "Output only. Number of tokens in the prompt.", + "error": { + "description": "Output only. Error status if File processing failed.", + "$ref": "#/components/schemas/Status", "readOnly": true - } - }, - "description": "Metadata on the usage of the embedding request." - }, - "GroundingChunk": { - "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", - "properties": { - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" }, - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" + "createTime": { + "description": "Output only. The timestamp of when the `File` was created.", + "readOnly": true, + "type": "string", + "format": "google-datetime" }, - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" + "sizeBytes": { + "readOnly": true, + "type": "string", + "format": "int64", + "description": "Output only. Size of the file in bytes." + }, + "videoMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/VideoFileMetadata", + "description": "Output only. Metadata for a video." }, - "maps": { - "description": "Optional. Grounding chunk from Google Maps.", - "$ref": "#/components/schemas/Maps" - } - }, - "type": "object" - }, - "GeneratedFile": { - "description": "A file generated on behalf of a user.", - "properties": { "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", "type": "string" }, - "mimeType": { + "expirationTime": { + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "sha256Hash": { + "description": "Output only. SHA-256 hash of the uploaded bytes.", + "readOnly": true, "type": "string", - "description": "MIME type of the generatedFile." + "format": "byte" + }, + "downloadUri": { + "description": "Output only. The download uri of the `File`.", + "readOnly": true, + "type": "string" }, "state": { - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Being generated.", - "Generated and is ready for download.", - "Failed to generate the GeneratedFile." - ], + "readOnly": true, "enum": [ "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", + "PROCESSING", + "ACTIVE", "FAILED" ], "type": "string", - "description": "Output only. The state of the GeneratedFile.", - "readOnly": true - }, - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" - } - }, - "type": "object" - }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", - "properties": { - "values": { - "type": "array", - "items": { - "type": "string" - }, - "description": "The string values of the metadata to store." - } - }, - "type": "object" - }, - "CodeExecutionResult": { - "properties": { - "id": { - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", - "type": "string" + "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." + ] }, - "output": { + "source": { "type": "string", - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise." - }, - "outcome": { - "description": "Required. Outcome of the code execution.", + "description": "Source of the File.", "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." + "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": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" - ], - "type": "string" - } - }, - "type": "object", - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used." - }, - "CitationSource": { - "properties": { - "license": { - "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", - "type": "string" - }, - "endIndex": { - "type": "integer", - "format": "int32", - "description": "Optional. End of the attributed segment, exclusive." - }, - "startIndex": { - "type": "integer", - "format": "int32", - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes." - }, - "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", - "type": "string" - } - }, - "type": "object", - "description": "A citation to a source for a portion of a specific response." - }, - "LogprobsResultCandidate": { - "type": "object", - "properties": { - "logProbability": { - "description": "The candidate's log probability.", - "type": "number", - "format": "float" - }, - "token": { - "description": "The candidate\u2019s token string value.", - "type": "string" - }, - "tokenId": { - "type": "integer", - "format": "int32", - "description": "The candidate\u2019s token id value." + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" + ] } }, - "description": "Candidate for the logprobs token and score." + "type": "object" }, - "InputEmbedContentConfig": { - "description": "Configures the input to the batch request.", + "UsageMetadata": { "type": "object", + "description": "Metadata on the generation request's token usage.", "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" - }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" - } - } - }, - "GroundingChunkStringList": { - "properties": { - "values": { - "type": "array", + "cacheTokensDetails": { "items": { - "type": "string" + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "The string values of the list." - } - }, - "type": "object", - "description": "A list of string values." - }, - "ModelStatus": { - "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", - "type": "object", - "properties": { - "retirementTime": { - "type": "string", - "format": "google-datetime", - "description": "The time at which the model will be retired." - }, - "modelStage": { - "enumDeprecated": [ - false, - true, - false, - false, - false, - false, - true, - false - ], - "x-enum-descriptions": [ - "Unspecified model stage.", - "The underlying model is subject to lots of tunings.", - "Models in this stage are for experimental purposes only.", - "Models in this stage are more mature than experimental models.", - "Models in this stage are considered stable and ready for production use.", - "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", - "Models in this stage are deprecated. These models cannot be used.", - "Models in this stage are retired. These models cannot be used." - ], - "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" - ], - "type": "string", - "description": "The stage of the underlying model." + "description": "Output only. List of modalities of the cached content in the request input.", + "readOnly": true, + "type": "array" }, - "message": { - "type": "string", - "description": "A message explaining the model status." - } - } - }, - "CachedContentUsageMetadata": { - "type": "object", - "properties": { - "totalTokenCount": { - "description": "Total number of tokens that the cached content consumes.", + "toolUsePromptTokenCount": { + "description": "Output only. Number of tokens present in tool-use prompt(s).", + "readOnly": true, "type": "integer", "format": "int32" - } - }, - "description": "Metadata on the usage of the cached content." - }, - "InputConfig": { - "properties": { - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedRequests" }, - "fileName": { - "type": "string", - "description": "The name of the `File` containing the input requests." - } - }, - "type": "object", - "description": "Configures the input to the batch request." - }, - "ListCachedContentsResponse": { - "type": "object", - "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", - "type": "string" + "toolUsePromptTokensDetails": { + "description": "Output only. List of modalities that were processed for tool-use request inputs.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "readOnly": true, + "type": "array" }, - "cachedContents": { + "promptTokensDetails": { + "readOnly": true, "type": "array", "items": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "List of cached contents." - } - }, - "description": "Response with CachedContents list." - }, - "ToolResponse": { - "properties": { - "toolType": { - "type": "string", - "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" - ] + "description": "Output only. List of modalities that were processed in the request input." }, - "id": { - "type": "string", - "description": "Optional. The identifier of the tool call this response is for." + "thoughtsTokenCount": { + "readOnly": true, + "type": "integer", + "format": "int32", + "description": "Output only. Number of tokens of thoughts for thinking models." }, - "response": { - "description": "Optional. The tool response.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } - } - }, - "type": "object", - "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`." - }, - "Candidate": { - "description": "A response candidate generated from the model.", - "type": "object", - "properties": { - "safetyRatings": { - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetyRating" - } + "promptTokenCount": { + "type": "integer", + "format": "int32", + "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content." }, - "index": { + "cachedContentTokenCount": { "type": "integer", "format": "int32", - "description": "Output only. Index of the candidate in the list of response candidates.", - "readOnly": true + "description": "Number of tokens in the cached part of the prompt (the cached content)" }, - "groundingAttributions": { - "type": "array", + "candidatesTokenCount": { + "description": "Total number of tokens across all the generated response candidates.", + "type": "integer", + "format": "int32" + }, + "candidatesTokensDetails": { "items": { - "$ref": "#/components/schemas/GroundingAttribution" + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", - "readOnly": true + "description": "Output only. List of modalities that were returned in the response.", + "readOnly": true, + "type": "array" }, - "finishMessage": { - "type": "string", - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", - "readOnly": true + "totalTokenCount": { + "description": "Total token count for the generation request (prompt + response candidates).", + "type": "integer", + "format": "int32" }, - "avgLogprobs": { - "description": "Output only. Average log probability score of the candidate.", - "readOnly": true, - "type": "number", - "format": "double" + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", + "readOnly": true }, - "content": { - "description": "Output only. Generated content returned from the model.", + "responseTokensDetails": { + "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + "type": "array", "readOnly": true, - "$ref": "#/components/schemas/Content" - }, - "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.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } + } + } + }, + "BatchStats": { + "description": "Stats about the batch.", + "properties": { + "failedRequestCount": { "readOnly": true, - "$ref": "#/components/schemas/CitationMetadata" + "type": "string", + "format": "int64", + "description": "Output only. The number of requests that failed to be processed." }, - "tokenCount": { - "description": "Output only. Token count for this candidate.", + "pendingRequestCount": { "readOnly": true, - "type": "integer", - "format": "int32" + "type": "string", + "format": "int64", + "description": "Output only. The number of requests that are still pending processing." }, - "groundingMetadata": { - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "successfulRequestCount": { "readOnly": true, - "$ref": "#/components/schemas/GroundingMetadata" - }, - "finishReason": { "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Natural stop point of the model or provided stop sequence.", - "The maximum number of tokens as specified in the request was reached.", - "The response candidate content was flagged for safety reasons.", - "The response candidate content was flagged for recitation reasons.", - "The response candidate content was flagged for using an unsupported language.", - "Unknown reason.", - "Token generation stopped because the content contains forbidden terms.", - "Token generation stopped for potentially containing prohibited content.", - "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", - "The function call generated by the model is invalid.", - "Token generation stopped because generated images contain safety violations.", - "Image generation stopped because generated images has other prohibited content.", - "Image generation stopped because of other miscellaneous issue.", - "The model was expected to generate an image, but none was generated.", - "Image generation stopped due to recitation.", - "Model generated a tool call but no tools were enabled in the request.", - "Model called too many tools consecutively, thus the system exited execution.", - "Request has at least one thought signature missing.", - "Finished due to malformed response." - ], - "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" - ], - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", - "readOnly": true + "format": "int64", + "description": "Output only. The number of requests that were successfully processed." }, - "logprobsResult": { - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "requestCount": { "readOnly": true, - "$ref": "#/components/schemas/LogprobsResult" + "type": "string", + "format": "int64", + "description": "Output only. The number of requests in the batch." + } + }, + "type": "object" + }, + "GoogleSearch": { + "type": "object", + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "properties": { + "timeRangeFilter": { + "$ref": "#/components/schemas/Interval", + "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa)." }, - "urlContextMetadata": { - "description": "Output only. Metadata related to url context retrieval tool.", - "readOnly": true, - "$ref": "#/components/schemas/UrlContextMetadata" + "searchTypes": { + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", + "$ref": "#/components/schemas/SearchTypes" } } }, "GroundingMetadata": { + "description": "Metadata returned to client when grounding is enabled.", "properties": { - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" - }, "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" + "$ref": "#/components/schemas/RetrievalMetadata", + "description": "Metadata related to retrieval in the grounding flow." }, - "imageSearchQueries": { - "type": "array", + "webSearchQueries": { "items": { "type": "string" }, - "description": "Image search queries used for grounding." + "description": "Web search queries for the following-up web search.", + "type": "array" + }, + "searchEntryPoint": { + "$ref": "#/components/schemas/SearchEntryPoint", + "description": "Optional. Google search entry for the following-up web searches." }, "googleMapsWidgetContextToken": { "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", @@ -4037,921 +3987,896 @@ }, "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses." }, - "groundingSupports": { - "description": "List of grounding support.", + "imageSearchQueries": { "type": "array", + "description": "Image search queries used for grounding.", "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + "type": "string" } }, - "webSearchQueries": { - "type": "array", + "groundingSupports": { + "description": "List of grounding support.", "items": { - "type": "string" + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" }, - "description": "Web search queries for the following-up web search." + "type": "array" } }, - "type": "object", - "description": "Metadata returned to client when grounding is enabled." + "type": "object" }, - "GenerateContentBatch": { - "description": "A resource representing a batch of `GenerateContent` requests.", + "ListFileSearchStoresResponse": { + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "properties": { - "endTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch processing completed.", - "readOnly": true - }, - "model": { - "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." - }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "type": "string", - "format": "int64" - }, - "output": { - "description": "Output only. The output of the batch request.", - "readOnly": true, - "$ref": "#/components/schemas/GenerateContentBatchOutput" - }, - "createTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch was created.", - "readOnly": true - }, - "name": { - "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "readOnly": true + "fileSearchStores": { + "description": "The returned rag_stores.", + "items": { + "$ref": "#/components/schemas/FileSearchStore" + }, + "type": "array" }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "readOnly": true, - "$ref": "#/components/schemas/BatchStats" + "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" + }, + "Dataset": { + "type": "object", + "description": "Dataset for training or validation.", + "properties": { + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" + } + } + }, + "TunedModelSource": { + "description": "Tuned model as a source for training a new model.", + "properties": { + "tunedModel": { + "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", + "type": "string" }, - "updateTime": { - "description": "Output only. The time at which the batch was last updated.", + "baseModel": { + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", "readOnly": true, - "type": "string", - "format": "google-datetime" + "type": "string" + } + }, + "type": "object" + }, + "ComputerUse": { + "description": "Computer Use tool type.", + "properties": { + "excludedPredefinedFunctions": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions." }, - "state": { - "description": "Output only. The state of the batch.", - "readOnly": true, - "type": "string", + "environment": { + "description": "Required. The environment being operated.", "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." + "Defaults to browser.", + "Operates in a web browser." + ], + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER" ], - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ] - }, - "displayName": { - "description": "Required. The user-defined name of this batch.", "type": "string" - }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" } }, "type": "object" }, - "RetrievalConfig": { - "type": "object", + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", "properties": { - "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)." - }, - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" + "urlMetadata": { + "items": { + "$ref": "#/components/schemas/UrlMetadata" + }, + "description": "List of url context.", + "type": "array" } }, - "description": "Retrieval config." + "type": "object" }, - "InlinedEmbedContentResponse": { - "type": "object", + "SearchTypes": { + "description": "Different types of search that can be enabled on the GoogleSearch tool.", "properties": { - "metadata": { - "description": "Output only. The metadata associated with the request.", - "readOnly": true, - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } - }, - "error": { - "description": "Output only. The error encountered while processing the request.", - "readOnly": true, - "$ref": "#/components/schemas/Status" + "webSearch": { + "$ref": "#/components/schemas/WebSearch", + "description": "Optional. Enables web search. Only text results are returned." }, - "response": { - "description": "Output only. The response to the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentResponse" + "imageSearch": { + "description": "Optional. Enables image search. Image bytes are returned.", + "$ref": "#/components/schemas/ImageSearch" } }, - "description": "The response to a single request in the batch." + "type": "object" }, - "GenerateContentRequest": { + "SpeakerVoiceConfig": { + "type": "object", + "description": "The configuration for a single speaker in a multi speaker setup.", "properties": { - "cachedContent": { - "type": "string", - "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}`" + "voiceConfig": { + "$ref": "#/components/schemas/VoiceConfig", + "description": "Required. The configuration for the voice to use." }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" + "speaker": { + "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", + "type": "string" + } + } + }, + "Document": { + "type": "object", + "description": "A `Document` is a collection of `Chunk`s.", + "properties": { + "name": { + "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`", + "type": "string" }, - "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.", - "$ref": "#/components/schemas/ToolConfig" + "mimeType": { + "description": "Output only. The mime type of the Document.", + "readOnly": true, + "type": "string" }, - "serviceTier": { - "description": "Optional. The service tier of the request.", + "state": { + "description": "Output only. Current state of the `Document`.", "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." + "The default value. This value is used if the state is omitted.", + "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", + "All `Chunks` of the `Document` is processed and available for querying.", + "Some `Chunks` of the `Document` failed processing." ], + "type": "string", "enum": [ - "unspecified", - "standard", - "flex", - "priority" + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" ], - "type": "string" - }, - "contents": { - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Content" - } - }, - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" + "readOnly": true }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "displayName": { + "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", "type": "string" }, - "tools": { - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" - } + "updateTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was last updated." }, - "safetySettings": { - "type": "array", + "createTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was created." + }, + "customMetadata": { "items": { - "$ref": "#/components/schemas/SafetySetting" + "$ref": "#/components/schemas/CustomMetadata" }, - "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": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", + "type": "array" }, - "store": { - "type": "boolean", - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config." + "sizeBytes": { + "readOnly": true, + "type": "string", + "format": "int64", + "description": "Output only. The size of raw bytes ingested into the Document." } - }, - "type": "object", - "description": "Request to generate a completion from the model." + } }, - "SafetySetting": { - "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", + "ToolResponse": { + "type": "object", + "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": { - "category": { - "description": "Required. The category for this setting.", + "id": { + "description": "Optional. The identifier of the tool call this response is for.", + "type": "string" + }, + "response": { + "description": "Optional. The tool response.", + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object" + }, + "toolType": { "type": "string", + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", "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." + "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": [ - "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 + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" ] + } + } + }, + "GeneratedFile": { + "description": "A file generated on behalf of a user.", + "properties": { + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "type": "string" }, - "threshold": { - "description": "Required. Controls the probability threshold at which harm is blocked.", + "mimeType": { + "description": "MIME type of the generatedFile.", + "type": "string" + }, + "state": { + "description": "Output only. The state of the GeneratedFile.", "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." + "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." + ], + "type": "string", + "enum": [ + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" + ], + "readOnly": true + }, + "error": { + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "$ref": "#/components/schemas/Status" + } + }, + "type": "object" + }, + "EmbedContentRequest": { + "type": "object", + "description": "Request containing the `Content` for the model to embed.", + "properties": { + "title": { + "deprecated": true, + "type": "string", + "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval." + }, + "taskType": { + "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." ], + "type": "string", "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" ], + "deprecated": true + }, + "embedContentConfig": { + "description": "Optional. Configuration for the EmbedContent request.", + "$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" + }, + "content": { + "$ref": "#/components/schemas/Content", + "description": "Required. The content to embed. Only the `parts.text` fields will be counted." + }, + "outputDimensionality": { + "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", + "deprecated": true, + "type": "integer", + "format": "int32" } - }, - "type": "object" + } }, - "CachedContent": { - "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for.", + "VideoFileMetadata": { + "description": "Metadata for a video `File`.", "properties": { - "contents": { - "description": "Optional. Input only. Immutable. The content to cache.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Content" - } - }, - "ttl": { + "videoDuration": { "type": "string", "format": "google-duration", - "description": "Input only. New TTL for this resource, input only." - }, - "name": { - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "readOnly": true, + "description": "Duration of the video." + } + }, + "type": "object" + }, + "VoiceConfig": { + "description": "The configuration for the voice to use.", + "properties": { + "prebuiltVoiceConfig": { + "description": "The configuration for the prebuilt voice to use.", + "$ref": "#/components/schemas/PrebuiltVoiceConfig" + } + }, + "type": "object" + }, + "Maps": { + "type": "object", + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", + "properties": { + "text": { + "description": "Text description of the place answer.", "type": "string" }, - "usageMetadata": { - "description": "Output only. Metadata on the usage of the cached content.", - "readOnly": true, - "$ref": "#/components/schemas/CachedContentUsageMetadata" - }, - "updateTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. When the cache entry was last updated in UTC time.", - "readOnly": true - }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" + "placeAnswerSources": { + "$ref": "#/components/schemas/PlaceAnswerSources", + "description": "Sources that provide answers about the features of a given place in Google Maps." }, - "displayName": { - "type": "string", - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters." + "placeId": { + "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", + "type": "string" }, - "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" + "uri": { + "description": "URI reference of the place.", + "type": "string" }, - "tools": { + "title": { + "description": "Title of the place.", + "type": "string" + } + } + }, + "GroundingChunkStringList": { + "type": "object", + "description": "A list of string values.", + "properties": { + "values": { "type": "array", + "description": "The string values of the list.", "items": { - "$ref": "#/components/schemas/Tool" - }, - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response" - }, - "model": { - "type": "string", - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`" - }, - "createTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. Creation time of the cache entry.", - "readOnly": true - }, - "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." + "type": "string" + } } - }, - "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.", "properties": { - "topK": { - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "type": "integer", - "format": "int32" - }, "metadataFilter": { - "type": "string", - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks." + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "type": "string" }, "fileSearchStoreNames": { - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", "type": "array", "items": { "type": "string" - } + }, + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`" + }, + "topK": { + "type": "integer", + "format": "int32", + "description": "Optional. The number of semantic retrieval chunks to retrieve." } }, "type": "object" }, - "EmbedContentResponse": { - "description": "The response to an `EmbedContentRequest`.", - "type": "object", + "InputConfig": { + "description": "Configures the input to the batch request.", "properties": { - "embedding": { - "description": "Output only. The embedding generated from the input content.", - "readOnly": true, - "$ref": "#/components/schemas/ContentEmbedding" + "requests": { + "$ref": "#/components/schemas/InlinedRequests", + "description": "The requests to be processed in the batch." }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata" - } - } - }, - "GenerateContentBatchOutput": { - "type": "object", - "properties": { - "responsesFile": { - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "readOnly": true, + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" - }, - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "readOnly": true, - "$ref": "#/components/schemas/InlinedResponses" } }, - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field." + "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", + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", "properties": { - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" - }, - "googleMaps": { - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", - "$ref": "#/components/schemas/GoogleMaps" - }, - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" - }, - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" - }, - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" - }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" - }, - "mcpServers": { - "type": "array", - "items": { - "$ref": "#/components/schemas/McpServer" - }, - "description": "Optional. MCP Servers to connect to." - }, - "functionDeclarations": { - "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", + "speakerVoiceConfigs": { "type": "array", + "description": "Required. All the enabled speaker voices.", "items": { - "$ref": "#/components/schemas/FunctionDeclaration" + "$ref": "#/components/schemas/SpeakerVoiceConfig" } - }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" } - } + }, + "type": "object" }, - "TransferOwnershipRequest": { - "description": "Request to transfer the ownership of the tuned model.", + "Blob": { "type": "object", + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", "properties": { - "emailAddress": { + "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", - "description": "Required. The email address of the user to whom the tuned model is being transferred to." + "format": "byte", + "description": "Raw bytes for media formats." } } }, - "ComputerUse": { - "description": "Computer Use tool type.", + "Permission": { "type": "object", + "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", "properties": { - "environment": { + "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" + }, + "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" + }, + "name": { + "readOnly": true, "type": "string", - "description": "Required. The environment being operated.", + "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." + }, + "role": { + "type": "string", + "description": "Required. The role granted by this permission.", "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser." + "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": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER" + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" ] - }, - "excludedPredefinedFunctions": { - "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", - "type": "array", - "items": { - "type": "string" - } } } }, - "AttributionSourceId": { - "description": "Identifier for the source contributing to this attribution.", - "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.", "properties": { - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" + "reviewSnippets": { + "items": { + "$ref": "#/components/schemas/ReviewSnippet" + }, + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "type": "array" + } + }, + "type": "object" + }, + "InputEmbedContentConfig": { + "description": "Configures the input to the batch request.", + "properties": { + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" }, - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" + "fileName": { + "description": "The name of the `File` containing the input requests.", + "type": "string" } - } + }, + "type": "object" }, - "StreamableHttpTransport": { + "Model": { + "type": "object", + "description": "Information about a Generative Language Model.", "properties": { - "terminateOnClose": { - "description": "Whether to close the client session when the transport closes.", + "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" + }, + "topP": { + "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", + "type": "number", + "format": "float" + }, + "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." + }, + "description": { + "description": "A short description of the model.", + "type": "string" + }, + "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." + }, + "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" + }, + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "type": "string" + }, + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "type": "string" + }, + "thinking": { + "description": "Whether the model supports thinking.", "type": "boolean" }, - "url": { - "type": "string", - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"" + "inputTokenLimit": { + "type": "integer", + "format": "int32", + "description": "Maximum number of input tokens allowed for this model." }, - "timeout": { - "type": "string", - "format": "google-duration", - "description": "HTTP timeout for regular operations." + "maxTemperature": { + "type": "number", + "format": "float", + "description": "The maximum temperature this model can use." }, - "sseReadTimeout": { - "description": "Timeout for SSE read operations.", - "type": "string", - "format": "google-duration" + "outputTokenLimit": { + "description": "Maximum number of output tokens available for this model.", + "type": "integer", + "format": "int32" }, - "headers": { - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "type": "object", - "additionalProperties": { + "supportedGenerationMethods": { + "type": "array", + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", + "items": { "type": "string" } } - }, - "type": "object", - "description": "A transport that can stream HTTP requests and responses. Next ID: 6" + } }, - "FunctionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "CustomLongRunningOperation": { "properties": { + "response": { + "type": "object", + "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`.", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" + }, "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.", + "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" }, - "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`." + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" }, - "args": { - "description": "Optional. The function parameters and values in JSON object format.", + "metadata": { + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", "additionalProperties": { - "description": "Properties of the object." + "description": "Properties of the object. Contains field @type with type URL." }, "type": "object" } }, "type": "object" }, - "CitationMetadata": { - "description": "A collection of source attributions for a piece of content.", - "properties": { - "citationSources": { - "type": "array", - "items": { - "$ref": "#/components/schemas/CitationSource" - }, - "description": "Citations to sources for a specific response." - } - }, - "type": "object" - }, - "ListFilesResponse": { + "TuningTask": { "type": "object", + "description": "Tuning tasks that create tuned models.", "properties": { - "nextPageToken": { + "startTime": { + "readOnly": true, "type": "string", - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call." + "format": "google-datetime", + "description": "Output only. The timestamp when tuning this model started." }, - "files": { + "completeTime": { + "description": "Output only. The timestamp when tuning this model completed.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "snapshots": { + "readOnly": true, "type": "array", + "description": "Output only. Metrics collected during tuning.", "items": { - "$ref": "#/components/schemas/File" - }, - "description": "The list of `File`s." - } - }, - "description": "Response for `ListFiles`." - }, - "TunedModelSource": { - "description": "Tuned model as a source for training a new model.", - "properties": { - "baseModel": { - "type": "string", - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", - "readOnly": true + "$ref": "#/components/schemas/TuningSnapshot" + } }, - "tunedModel": { - "type": "string", - "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`" - } - }, - "type": "object" - }, - "TuningExample": { - "description": "A single example for tuning.", - "properties": { - "textInput": { - "type": "string", - "description": "Optional. Text model input." + "trainingData": { + "description": "Required. Input only. Immutable. The model training data.", + "$ref": "#/components/schemas/Dataset" }, - "output": { - "type": "string", - "description": "Required. The expected model output." + "hyperparameters": { + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", + "$ref": "#/components/schemas/Hyperparameters" } - }, - "type": "object" + } }, - "GroundingAttribution": { - "description": "Attribution for a source that contributed to an answer.", + "ListGeneratedFilesResponse": { "type": "object", + "description": "Response for `ListGeneratedFiles`.", "properties": { - "sourceId": { - "description": "Output only. Identifier for the source contributing to this attribution.", - "readOnly": true, - "$ref": "#/components/schemas/AttributionSourceId" + "generatedFiles": { + "items": { + "$ref": "#/components/schemas/GeneratedFile" + }, + "description": "The list of `GeneratedFile`s.", + "type": "array" }, - "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "type": "string" } } }, - "TopCandidates": { - "description": "Candidates with top log probabilities at each decoding step.", - "type": "object", + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", "properties": { - "candidates": { - "type": "array", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - }, - "description": "Sorted by log probability in descending order." + "retrievalConfig": { + "$ref": "#/components/schemas/RetrievalConfig", + "description": "Optional. Retrieval config." + }, + "functionCallingConfig": { + "description": "Optional. Function calling config.", + "$ref": "#/components/schemas/FunctionCallingConfig" + }, + "includeServerSideToolInvocations": { + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", + "type": "boolean" } - } + }, + "type": "object" }, - "Operation": { - "description": "This resource represents a long-running operation that is the result of a network API call.", + "InlinedResponse": { "type": "object", + "description": "The response to a single request in the batch.", "properties": { - "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", - "type": "string" - }, "response": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "type": "object", - "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`." + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/GenerateContentResponse", + "readOnly": true + }, + "error": { + "$ref": "#/components/schemas/Status", + "description": "Output only. The error encountered while processing the request.", + "readOnly": true }, "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.", + "readOnly": true, "type": "object", + "description": "Output only. The metadata associated with the request.", "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." + "description": "Properties of the object." } - }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" - }, - "done": { - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", - "type": "boolean" } } }, - "InlinedEmbedContentRequest": { - "description": "The request to be processed in the batch.", + "Tool": { + "type": "object", + "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" + "computerUse": { + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", + "$ref": "#/components/schemas/ComputerUse" }, - "metadata": { - "additionalProperties": { - "description": "Properties of the object." + "googleSearchRetrieval": { + "$ref": "#/components/schemas/GoogleSearchRetrieval", + "description": "Optional. Retrieval tool that is powered by Google search." + }, + "fileSearch": { + "$ref": "#/components/schemas/FileSearch", + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora." + }, + "urlContext": { + "$ref": "#/components/schemas/UrlContext", + "description": "Optional. Tool to support URL context retrieval." + }, + "mcpServers": { + "items": { + "$ref": "#/components/schemas/McpServer" }, - "type": "object", - "description": "Optional. The metadata to be associated with the request." + "description": "Optional. MCP Servers to connect to.", + "type": "array" + }, + "functionDeclarations": { + "type": "array", + "items": { + "$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." + }, + "codeExecution": { + "description": "Optional. Enables the model to execute code as part of generation.", + "$ref": "#/components/schemas/CodeExecution" + }, + "googleSearch": { + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "$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" } - }, - "type": "object" - }, - "Empty": { - "type": "object", - "properties": {}, - "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); }" + } }, - "File": { - "type": "object", + "GenerateContentBatch": { + "description": "A resource representing a batch of `GenerateContent` requests.", "properties": { - "mimeType": { + "name": { + "readOnly": true, "type": "string", - "description": "Output only. MIME type of the file.", - "readOnly": true + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." }, - "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" - ], + "displayName": { + "description": "Required. The user-defined name of this batch.", "type": "string" }, - "sizeBytes": { - "type": "string", - "format": "int64", - "description": "Output only. Size of the file in bytes.", - "readOnly": true - }, - "uri": { - "description": "Output only. The uri of the `File`.", + "updateTime": { "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\"" - }, - "downloadUri": { "type": "string", - "description": "Output only. The download uri of the `File`.", - "readOnly": true + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated." }, - "sha256Hash": { - "description": "Output only. SHA-256 hash of the uploaded bytes.", + "endTime": { + "description": "Output only. The time at which the batch processing completed.", "readOnly": true, "type": "string", - "format": "byte" + "format": "google-datetime" }, - "error": { - "description": "Output only. Error status if File processing failed.", - "readOnly": true, - "$ref": "#/components/schemas/Status" + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" }, - "createTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` was created.", - "readOnly": true + "state": { + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ], + "readOnly": true, + "description": "Output only. The state of the batch.", + "x-enum-descriptions": [ + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." + ], + "type": "string" }, - "expirationTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "batchStats": { + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/BatchStats", "readOnly": true }, - "name": { + "priority": { "type": "string", - "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`" + "format": "int64", + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0." }, - "videoMetadata": { - "description": "Output only. Metadata for a video.", + "createTime": { + "description": "Output only. The time at which the batch was created.", "readOnly": true, - "$ref": "#/components/schemas/VideoFileMetadata" - }, - "updateTime": { "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` was last updated.", - "readOnly": true + "format": "google-datetime" }, - "state": { - "description": "Output only. Processing state of the File.", + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputConfig" + }, + "output": { "readOnly": true, - "type": "string", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "File is being processed and cannot be used for inference yet.", - "File is processed and available for inference.", - "File failed processing." - ], - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ] - } - }, - "description": "A file uploaded to the API. Next ID: 15" - }, - "BatchGenerateContentRequest": { - "description": "Request for a `BatchGenerateContent` operation.", - "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/GenerateContentBatch" + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/GenerateContentBatchOutput" } }, "type": "object" }, - "RetrievedContext": { - "description": "Chunk from context retrieved by the file search tool.", + "Web": { + "description": "Chunk from the web.", "properties": { - "title": { - "type": "string", - "description": "Optional. Title of the document." - }, - "text": { - "description": "Optional. Text of the chunk.", - "type": "string" - }, - "customMetadata": { - "type": "array", - "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" - }, - "description": "Optional. User-provided metadata about the retrieved context." - }, "uri": { - "description": "Optional. URI reference of the semantic retrieval document.", + "description": "Output only. URI reference of the chunk.", + "readOnly": true, "type": "string" }, - "pageNumber": { - "type": "integer", - "format": "int32", - "description": "Optional. Page number of the retrieved context, if applicable." - }, - "fileSearchStore": { - "type": "string", - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`" - }, - "mediaId": { - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", + "title": { + "description": "Output only. Title of the chunk.", + "readOnly": true, "type": "string" } }, "type": "object" }, - "TuningExamples": { - "properties": { - "examples": { - "type": "array", - "items": { - "$ref": "#/components/schemas/TuningExample" - }, - "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type." - } - }, + "CodeExecution": { "type": "object", - "description": "A set of tuning examples. Can be training or validation data." + "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", + "properties": {} }, - "CustomLongRunningOperation": { - "type": "object", + "Operation": { + "description": "This resource represents a long-running operation that is the result of a network API call.", "properties": { - "response": { - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "type": "object" - }, - "name": { - "type": "string", - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`." - }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" - }, "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." + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" + }, + "response": { + "type": "object", + "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`.", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } }, "metadata": { - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", "type": "object", + "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." } - } - } - }, - "ListDocumentsResponse": { - "properties": { - "documents": { - "description": "The returned `Document`s.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Document" - } }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" + }, + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", "type": "string" } }, - "type": "object", - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`." - }, - "RetrievalMetadata": { - "properties": { - "googleSearchDynamicRetrievalScore": { - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", - "type": "number", - "format": "float" - } - }, - "type": "object", - "description": "Metadata related to retrieval in the grounding flow." + "type": "object" }, "WhiteSpaceConfig": { - "type": "object", + "description": "Configuration for a white space chunking algorithm [white space delimited].", "properties": { "maxTokensPerChunk": { + "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", "type": "integer", - "format": "int32", - "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" }, "maxOverlapTokens": { "type": "integer", @@ -4959,137 +4884,207 @@ "description": "Maximum number of overlapping tokens between two adjacent chunks." } }, - "description": "Configuration for a white space chunking algorithm [white space delimited]." + "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`.", + "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": { - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" + "googleMapsUri": { + "description": "A link that corresponds to the user review on Google Maps.", + "type": "string" }, - "responseId": { - "description": "Output only. response_id is used to identify each response.", - "readOnly": true, + "reviewId": { + "description": "The ID of the review snippet.", "type": "string" }, - "modelStatus": { - "description": "Output only. The current model status of this model.", - "readOnly": true, - "$ref": "#/components/schemas/ModelStatus" + "title": { + "description": "Title of the review.", + "type": "string" + } + } + }, + "CitationSource": { + "type": "object", + "description": "A citation to a source for a portion of a specific response.", + "properties": { + "endIndex": { + "description": "Optional. End of the attributed segment, exclusive.", + "type": "integer", + "format": "int32" }, - "candidates": { - "description": "Candidate responses from the model.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Candidate" - } + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", + "type": "string" }, - "usageMetadata": { - "description": "Output only. Metadata on the generation requests' token usage.", - "readOnly": true, - "$ref": "#/components/schemas/UsageMetadata" + "license": { + "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", + "type": "string" }, - "modelVersion": { - "type": "string", - "description": "Output only. The model version used to generate the response.", - "readOnly": true + "startIndex": { + "type": "integer", + "format": "int32", + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes." } - }, - "type": "object" + } }, - "VideoMetadata": { + "RegisterFilesResponse": { + "type": "object", + "description": "Response for `RegisterFiles`.", "properties": { - "startOffset": { - "description": "Optional. The start offset of the video.", - "type": "string", - "format": "google-duration" - }, - "fps": { - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", - "type": "number", - "format": "double" - }, - "endOffset": { - "description": "Optional. The end offset of the video.", - "type": "string", - "format": "google-duration" + "files": { + "description": "The registered files to be used when calling GenerateContent.", + "items": { + "$ref": "#/components/schemas/File" + }, + "type": "array" + } + } + }, + "PrebuiltVoiceConfig": { + "description": "The configuration for the prebuilt speaker to use.", + "properties": { + "voiceName": { + "description": "The name of the preset voice to use.", + "type": "string" } }, - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", - "deprecated": true, "type": "object" }, - "Status": { + "EmbedContentBatchOutput": { + "type": "object", + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", "properties": { - "code": { - "description": "The status code, which should be an enum value of google.rpc.Code.", - "type": "integer", - "format": "int32" - }, - "message": { - "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", + "responsesFile": { + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "readOnly": true, "type": "string" }, - "details": { - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", - "type": "array", - "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - } + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "$ref": "#/components/schemas/InlinedEmbedContentResponses", + "readOnly": true } - }, - "type": "object", - "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors)." + } }, - "ImportFileRequest": { - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", + "FunctionResponse": { "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.", "properties": { - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "response": { + "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model.", + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object" + }, + "id": { + "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", "type": "string" }, - "customMetadata": { - "type": "array", + "willContinue": { + "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", + "type": "boolean" + }, + "parts": { + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", "items": { - "$ref": "#/components/schemas/CustomMetadata" + "$ref": "#/components/schemas/FunctionResponsePart" }, - "description": "Custom metadata to be associated with the file." + "type": "array" }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "name": { + "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" + }, + "scheduling": { + "type": "string", + "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" + ] } } }, - "SafetyRating": { - "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", - "type": "object", + "FileSearchStore": { + "description": "A `FileSearchStore` is a collection of `Document`s.", "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." - ], + "name": { + "readOnly": true, + "type": "string", + "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." + }, + "activeDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "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`.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "displayName": { + "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "type": "string" + }, + "createTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "updateTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "failedDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "pendingDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "readOnly": true, + "type": "string", + "format": "int64" + } + }, + "type": "object" + }, + "SafetySetting": { + "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", + "properties": { + "category": { "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", - "LOW", - "MEDIUM", - "HIGH" + "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" - }, - "category": { - "description": "Required. The category for this rating.", + "description": "Required. The category for this setting.", "x-enum-descriptions": [ "Category is unspecified.", "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", @@ -5104,20 +5099,6 @@ "**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, @@ -5134,1534 +5115,1553 @@ ], "type": "string" }, - "blocked": { - "type": "boolean", - "description": "Was this content blocked because of this rating?" + "threshold": { + "type": "string", + "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": "object" }, - "InlinedEmbedContentResponses": { - "type": "object", + "Status": { + "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", "properties": { - "inlinedResponses": { + "code": { + "type": "integer", + "format": "int32", + "description": "The status code, which should be an enum value of google.rpc.Code." + }, + "message": { + "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", + "type": "string" + }, + "details": { "type": "array", "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } }, - "description": "Output only. The responses to the requests in the batch.", - "readOnly": true + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use." } }, - "description": "The responses to the requests in the batch." + "type": "object" }, - "VideoFileMetadata": { + "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": { - "videoDuration": { - "description": "Duration of the video.", - "type": "string", - "format": "google-duration" + "web": { + "$ref": "#/components/schemas/Web", + "description": "Grounding chunk from the web." + }, + "maps": { + "description": "Optional. Grounding chunk from Google Maps.", + "$ref": "#/components/schemas/Maps" + }, + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" + }, + "image": { + "$ref": "#/components/schemas/Image", + "description": "Optional. Grounding chunk from image search." } - }, - "description": "Metadata for a video `File`." + } }, "ImageConfig": { + "description": "Config for image generation features.", "properties": { "aspectRatio": { - "type": "string", - "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." + "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": { - "type": "string", - "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`." + "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" } }, - "type": "object", - "description": "Config for image generation features." + "type": "object" }, - "Corpus": { + "TunedModel": { + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", "properties": { - "updateTime": { - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, "name": { - "type": "string", - "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 + "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" }, - "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\"", + "baseModel": { + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", "type": "string" }, - "createTime": { - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - } - }, - "type": "object", - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora." - }, - "FunctionCallingConfig": { - "type": "object", - "properties": { - "allowedFunctionNames": { - "type": "array", + "readerProjectNumbers": { "items": { - "type": "string" + "type": "string", + "format": "int64" }, - "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." + "description": "Optional. List of project numbers that have read access to the tuned model.", + "type": "array" }, - "mode": { - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", - "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\"." - ], + "state": { "enum": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" ], - "type": "string" - } - }, - "description": "Configuration for specifying function calling behavior." - }, - "PromptFeedback": { - "properties": { - "safetyRatings": { - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetyRating" - }, - "description": "Ratings for safety of the prompt. There is at most one rating per category." - }, - "blockReason": { - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "readOnly": true, + "description": "Output only. The state of the tuned model.", "x-enum-descriptions": [ - "Default value. This value is unused.", - "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", - "Prompt was blocked due to unknown reasons.", - "Prompt was blocked due to the terms which are included from the terminology blocklist.", - "Prompt was blocked due to prohibited content.", - "Candidates blocked due to unsafe image generation content." - ], - "enum": [ - "BLOCK_REASON_UNSPECIFIED", - "SAFETY", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "IMAGE_SAFETY" + "The default value. This value is unused.", + "The model is being created.", + "The model is ready to be used.", + "The model failed to be created." ], "type": "string" - } - }, - "type": "object", - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`." - }, - "ListModelsResponse": { - "description": "Response from `ListModel` containing a paginated list of Models.", - "type": "object", - "properties": { - "models": { - "description": "The returned Models.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Model" - } }, - "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." - } - } - }, - "SemanticRetrieverChunk": { - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", - "type": "object", - "properties": { - "source": { - "type": "string", - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", - "readOnly": true + "displayName": { + "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", + "type": "string" }, - "chunk": { + "topP": { + "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", + "type": "number", + "format": "float" + }, + "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": { + "readOnly": true, "type": "string", - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", - "readOnly": true - } - } - }, - "TransferOwnershipResponse": { - "type": "object", - "properties": {}, - "description": "Response from `TransferOwnership`." - }, - "Image": { - "description": "Chunk from image search.", - "type": "object", - "properties": { - "domain": { + "format": "google-datetime", + "description": "Output only. The timestamp when this model was updated." + }, + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" + }, + "createTime": { + "description": "Output only. The timestamp when this model was created.", + "readOnly": true, "type": "string", - "description": "The root domain of the web page that the image is from, e.g. \"example.com\"." + "format": "google-datetime" }, - "sourceUri": { - "description": "The web page URI for attribution.", - "type": "string" + "temperature": { + "type": "number", + "format": "float", + "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model." }, - "imageUri": { - "type": "string", - "description": "The image asset URL." + "tuningTask": { + "$ref": "#/components/schemas/TuningTask", + "description": "Required. The tuning task that creates the tuned model." }, - "title": { - "type": "string", - "description": "The title of the web page that the image is from." + "description": { + "description": "Optional. A short description of this model.", + "type": "string" } - } + }, + "type": "object" }, - "Content": { + "ContentEmbedding": { + "description": "A list of floats representing an embedding.", "properties": { - "parts": { + "values": { "type": "array", "items": { - "$ref": "#/components/schemas/Part" + "type": "number", + "format": "float" }, - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types." + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls." }, - "role": { - "type": "string", - "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset." + "shape": { + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", + "items": { + "type": "integer", + "format": "int32" + }, + "type": "array" } }, - "type": "object", - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn." + "type": "object" }, - "FunctionDeclaration": { + "EmbedContentConfig": { + "type": "object", + "description": "Configurations for the EmbedContent request.", "properties": { - "name": { - "type": "string", - "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128." + "autoTruncate": { + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", + "type": "boolean" }, - "parameters": { - "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", - "$ref": "#/components/schemas/Schema" + "outputDimensionality": { + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", + "type": "integer", + "format": "int32" }, - "description": { - "description": "Required. A brief description of the function.", + "title": { + "description": "Optional. The title for the text.", "type": "string" }, - "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": { + "taskType": { "type": "string", - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", + "description": "Optional. The task type of the embedding.", "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." + "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": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" ] }, - "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`." + "documentOcr": { + "description": "Optional. Whether to enable OCR for document content.", + "type": "boolean" }, - "responseJsonSchema": { - "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." - } - }, - "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." - }, - "UrlContextMetadata": { - "description": "Metadata related to url context retrieval tool.", - "properties": { - "urlMetadata": { - "type": "array", - "items": { - "$ref": "#/components/schemas/UrlMetadata" - }, - "description": "List of url context." + "audioTrackExtraction": { + "description": "Optional. Whether to extract audio from video content.", + "type": "boolean" } - }, - "type": "object" + } }, - "ListGeneratedFilesResponse": { - "description": "Response for `ListGeneratedFiles`.", + "ListDocumentsResponse": { "type": "object", + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", "properties": { - "generatedFiles": { + "documents": { "type": "array", + "description": "The returned `Document`s.", "items": { - "$ref": "#/components/schemas/GeneratedFile" - }, - "description": "The list of `GeneratedFile`s." + "$ref": "#/components/schemas/Document" + } }, "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "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" } } }, - "RegisterFilesRequest": { + "AsyncBatchEmbedContentRequest": { "type": "object", + "description": "Request for an `AsyncBatchEmbedContent` operation.", "properties": { - "uris": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`." + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/EmbedContentBatch" } - }, - "description": "Request for `RegisterFiles`." + } }, - "GenerationConfig": { - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", - "type": "object", + "GenerateContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", "properties": { - "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." - }, - "responseLogprobs": { - "type": "boolean", - "description": "Optional. If true, export the logprobs results in response." - }, - "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." - }, - "responseMimeType": { + "responsesFile": { + "readOnly": true, "type": "string", - "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." - }, - "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" - }, - "thinkingConfig": { - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", - "$ref": "#/components/schemas/ThinkingConfig" - }, - "responseSchema": { - "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", - "$ref": "#/components/schemas/Schema" - }, - "mediaResolution": { - "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" - ], - "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." - }, - "temperature": { - "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", - "type": "number", - "format": "float" - }, - "topK": { - "type": "integer", - "format": "int32", - "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests." - }, - "logprobs": { - "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", - "type": "integer", - "format": "int32" + "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." }, - "presencePenalty": { - "type": "number", - "format": "float", - "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary." - }, - "responseModalities": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "$ref": "#/components/schemas/InlinedResponses", + "readOnly": true + } + }, + "type": "object" + }, + "ChunkingConfig": { + "type": "object", + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", + "properties": { + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" + } + } + }, + "ListOperationsResponse": { + "description": "The response message for Operations.ListOperations.", + "properties": { + "operations": { "type": "array", + "description": "A list of operations that matches the specified filter in the request.", "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." - }, - "seed": { - "type": "integer", - "format": "int32", - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed." - }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + "$ref": "#/components/schemas/Operation" + } }, - "stopSequences": { - "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", - "type": "array", + "nextPageToken": { + "description": "The standard List next-page token.", + "type": "string" + }, + "unreachable": { + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", "items": { "type": "string" - } + }, + "type": "array" + } + }, + "type": "object" + }, + "AttributionSourceId": { + "description": "Identifier for the source contributing to this attribution.", + "properties": { + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" + "groundingPassage": { + "$ref": "#/components/schemas/GroundingPassageId", + "description": "Identifier for an inline passage." + } + }, + "type": "object" + }, + "FunctionResponseBlob": { + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "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).", + "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)", + "data": { + "type": "string", + "format": "byte", + "description": "Raw bytes for media formats." + } + }, + "type": "object" + }, + "GroundingAttribution": { + "description": "Attribution for a source that contributed to an answer.", + "properties": { + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" + }, + "sourceId": { + "description": "Output only. Identifier for the source contributing to this attribution.", + "$ref": "#/components/schemas/AttributionSourceId", + "readOnly": true + } + }, + "type": "object" + }, + "CachedContentUsageMetadata": { + "type": "object", + "description": "Metadata on the usage of the cached content.", + "properties": { + "totalTokenCount": { + "description": "Total number of tokens that the cached content consumes.", "type": "integer", "format": "int32" - }, - "enableEnhancedCivicAnswers": { - "type": "boolean", - "description": "Optional. Enables enhanced civic answers. It may not be available for all models." } } }, - "Part": { + "EmbedContentBatch": { "type": "object", + "description": "A resource representing a batch of `EmbedContent` requests.", "properties": { - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" - }, - "thought": { - "description": "Optional. Indicates if the part is thought from the model.", - "type": "boolean" - }, - "partMetadata": { - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "output": { + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/EmbedContentBatchOutput", + "readOnly": true }, - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" + "createTime": { + "description": "Output only. The time at which the batch was created.", + "readOnly": true, + "type": "string", + "format": "google-datetime" }, - "codeExecutionResult": { - "description": "Result of executing the `ExecutableCode`.", - "$ref": "#/components/schemas/CodeExecutionResult" + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" }, - "text": { - "description": "Inline text.", + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" - }, - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" - }, - "toolCall": { - "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", - "$ref": "#/components/schemas/ToolCall" + "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." + ], + "type": "string", + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ], + "readOnly": true }, - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" + "batchStats": { + "readOnly": true, + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/EmbedContentBatchStats" }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" + "priority": { + "type": "string", + "format": "int64", + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0." }, - "toolResponse": { - "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", - "$ref": "#/components/schemas/ToolResponse" + "endTime": { + "description": "Output only. The time at which the batch processing completed.", + "readOnly": true, + "type": "string", + "format": "google-datetime" }, - "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.", - "$ref": "#/components/schemas/FunctionResponse" + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" }, - "thoughtSignature": { + "updateTime": { + "readOnly": true, "type": "string", - "format": "byte", - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests." + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated." + }, + "name": { + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "readOnly": true, + "type": "string" } - }, - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes." + } }, - "CountTokensRequest": { - "type": "object", + "InlinedEmbedContentResponse": { + "description": "The response to a single request in the batch.", "properties": { - "generateContentRequest": { - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", - "$ref": "#/components/schemas/GenerateContentRequest" + "error": { + "readOnly": true, + "$ref": "#/components/schemas/Status", + "description": "Output only. The error encountered while processing the request." }, - "contents": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Content" + "metadata": { + "description": "Output only. The metadata associated with the request.", + "additionalProperties": { + "description": "Properties of the object." }, - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set." + "readOnly": true, + "type": "object" + }, + "response": { + "readOnly": true, + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/EmbedContentResponse" } }, - "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`." + "type": "object" }, - "ReviewSnippet": { - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", + "LogprobsResultCandidate": { "type": "object", + "description": "Candidate for the logprobs token and score.", "properties": { - "reviewId": { - "description": "The ID of the review snippet.", + "token": { + "description": "The candidate\u2019s token string value.", "type": "string" }, - "googleMapsUri": { - "description": "A link that corresponds to the user review on Google Maps.", - "type": "string" + "tokenId": { + "description": "The candidate\u2019s token id value.", + "type": "integer", + "format": "int32" }, - "title": { - "description": "Title of the review.", - "type": "string" + "logProbability": { + "type": "number", + "format": "float", + "description": "The candidate's log probability." } } }, - "GroundingChunkCustomMetadata": { + "ImportFileRequest": { + "type": "object", + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", "properties": { - "key": { - "description": "The key of the metadata.", - "type": "string" + "chunkingConfig": { + "$ref": "#/components/schemas/ChunkingConfig", + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters." }, - "stringValue": { - "description": "Optional. The string value of the metadata.", + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", "type": "string" }, - "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" - }, - "numericValue": { - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", - "type": "number", - "format": "float" + "customMetadata": { + "type": "array", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + }, + "description": "Custom metadata to be associated with the file." } - }, - "type": "object", - "description": "User provided metadata about the GroundingFact." + } }, - "Model": { - "properties": { - "displayName": { - "type": "string", - "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." - }, - "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." - }, - "description": { - "description": "A short description of the model.", - "type": "string" - }, - "maxTemperature": { - "description": "The maximum temperature this model can use.", - "type": "number", - "format": "float" - }, - "temperature": { - "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", - "type": "number", - "format": "float" - }, - "topK": { - "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", - "type": "integer", - "format": "int32" - }, - "supportedGenerationMethods": { + "TuningExamples": { + "type": "object", + "description": "A set of tuning examples. Can be training or validation data.", + "properties": { + "examples": { "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.", "items": { - "type": "string" + "$ref": "#/components/schemas/TuningExample" + } + } + } + }, + "ListPermissionsResponse": { + "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "properties": { + "permissions": { + "items": { + "$ref": "#/components/schemas/Permission" }, - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`." + "description": "Returned permissions.", + "type": "array" }, - "baseModelId": { - "type": "string", - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`" - }, - "version": { - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "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" + }, + "SpeechConfig": { + "description": "Config for speech generation and transcription.", + "properties": { + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" }, - "name": { - "description": "Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * \"{base_model_id}-{version}\" Examples: * `models/gemini-1.5-flash-001`", + "languageCode": { + "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", "type": "string" }, - "outputTokenLimit": { - "type": "integer", - "format": "int32", - "description": "Maximum number of output tokens available for this model." - }, - "thinking": { - "type": "boolean", - "description": "Whether the model supports thinking." - }, - "inputTokenLimit": { - "type": "integer", - "format": "int32", - "description": "Maximum number of input tokens allowed for this model." + "multiSpeakerVoiceConfig": { + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" } }, - "type": "object", - "description": "Information about a Generative Language Model." + "type": "object" }, - "WebSearch": { - "description": "Standard web search for grounding and related configurations.", + "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": { + "$ref": "#/components/schemas/FunctionResponseBlob", + "description": "Inline media bytes." + } + }, + "type": "object" + }, + "ImageSearch": { + "description": "Image search for grounding and related configurations.", + "properties": {}, + "type": "object" + }, + "EmbeddingUsageMetadata": { "type": "object", - "properties": {} + "description": "Metadata on the usage of the embedding request.", + "properties": { + "promptTokenCount": { + "readOnly": true, + "type": "integer", + "format": "int32", + "description": "Output only. Number of tokens in the prompt." + }, + "promptTokenDetails": { + "readOnly": true, + "type": "array", + "description": "Output only. List of modalities that were processed in the request input.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } + } + } }, - "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.", + "Hyperparameters": { "type": "object", + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", "properties": { - "longitude": { + "learningRate": { + "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", "type": "number", - "format": "double", - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0]." + "format": "float" }, - "latitude": { + "epochCount": { + "type": "integer", + "format": "int32", + "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used." + }, + "batchSize": { + "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", + "type": "integer", + "format": "int32" + }, + "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": "double", - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0]." + "format": "float" } } }, - "FunctionResponse": { + "GroundingPassageId": { "type": "object", + "description": "Identifier for a part within a `GroundingPassage`.", "properties": { - "parts": { - "type": "array", - "items": { - "$ref": "#/components/schemas/FunctionResponsePart" - }, - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types." - }, - "willContinue": { - "type": "boolean", - "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`." - }, - "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.", + "passageId": { + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", + "readOnly": true, "type": "string" }, - "scheduling": { - "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", + "partIndex": { + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", + "readOnly": true, + "type": "integer", + "format": "int32" + } + } + }, + "PromptFeedback": { + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", + "properties": { + "blockReason": { + "type": "string", + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", "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." + "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": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" - ], - "type": "string" - }, - "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`." + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ] }, - "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." + "safetyRatings": { + "type": "array", + "description": "Ratings for safety of the prompt. There is at most one rating per category.", + "items": { + "$ref": "#/components/schemas/SafetyRating" + } } }, - "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" }, - "PrebuiltVoiceConfig": { - "description": "The configuration for the prebuilt speaker to use.", + "GoogleMaps": { "type": "object", + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", "properties": { - "voiceName": { - "description": "The name of the preset voice to use.", - "type": "string" + "enableWidget": { + "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", + "type": "boolean" } } }, - "ChunkingConfig": { + "TopCandidates": { + "type": "object", + "description": "Candidates with top log probabilities at each decoding step.", "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" + "candidates": { + "description": "Sorted by log probability in descending order.", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + }, + "type": "array" + } + } + }, + "InlinedEmbedContentRequest": { + "description": "The request to be processed in the batch.", + "properties": { + "metadata": { + "type": "object", + "description": "Optional. The metadata to be associated with the request.", + "additionalProperties": { + "description": "Properties of the object." + } + }, + "request": { + "$ref": "#/components/schemas/EmbedContentRequest", + "description": "Required. The request to be processed in the batch." } }, - "type": "object", - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto" + "type": "object" }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "RetrievedContext": { + "type": "object", + "description": "Chunk from context retrieved by the file search tool.", "properties": { - "confidenceScores": { - "type": "array", - "items": { - "type": "number", - "format": "float" - }, - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices." + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", + "type": "string" }, - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + "title": { + "description": "Optional. Title of the document.", + "type": "string" }, - "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" - } + "text": { + "description": "Optional. Text of the chunk.", + "type": "string" }, - "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).", + "pageNumber": { + "description": "Optional. Page number of the retrieved context, if applicable.", + "type": "integer", + "format": "int32" + }, + "mediaId": { + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", + "type": "string" + }, + "customMetadata": { "type": "array", "items": { - "type": "integer", - "format": "int32" - } + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + }, + "description": "Optional. User-provided metadata about the retrieved context." + }, + "fileSearchStore": { + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", + "type": "string" } - }, - "type": "object", - "description": "Grounding support." + } }, - "AsyncBatchEmbedContentRequest": { - "description": "Request for an `AsyncBatchEmbedContent` operation.", + "SemanticRetrieverChunk": { "type": "object", + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" + "chunk": { + "readOnly": true, + "type": "string", + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`" + }, + "source": { + "readOnly": true, + "type": "string", + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`" } } }, - "ToolCall": { + "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": { - "args": { - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object", - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}" + "createTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. Creation time of the cache entry." }, - "id": { + "expireTime": { "type": "string", - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`." + "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." }, - "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" - ], + "model": { + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", "type": "string" - } - }, - "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`." - }, - "BatchEmbedContentsRequest": { - "properties": { - "requests": { + }, + "contents": { "type": "array", + "description": "Optional. Input only. Immutable. The content to cache.", "items": { - "$ref": "#/components/schemas/EmbedContentRequest" - }, - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`." - } - }, - "type": "object", - "description": "Batch request to get embeddings from the model for a list of prompts." - }, - "TuningSnapshot": { - "type": "object", - "properties": { - "step": { - "type": "integer", - "format": "int32", - "description": "Output only. The tuning step.", - "readOnly": true + "$ref": "#/components/schemas/Content" + } }, - "meanLoss": { - "type": "number", - "format": "float", - "description": "Output only. The mean loss of the training examples for this step.", - "readOnly": true + "tools": { + "items": { + "$ref": "#/components/schemas/Tool" + }, + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", + "type": "array" }, - "epoch": { - "type": "integer", - "format": "int32", - "description": "Output only. The epoch this step was part of.", - "readOnly": true + "displayName": { + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "type": "string" }, - "computeTime": { + "updateTime": { + "readOnly": true, "type": "string", "format": "google-datetime", - "description": "Output only. The timestamp when this metric was computed.", + "description": "Output only. When the cache entry was last updated in UTC time." + }, + "name": { + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "readOnly": true, + "type": "string" + }, + "ttl": { + "description": "Input only. New TTL for this resource, input only.", + "type": "string", + "format": "google-duration" + }, + "systemInstruction": { + "$ref": "#/components/schemas/Content", + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only." + }, + "usageMetadata": { + "description": "Output only. Metadata on the usage of the cached content.", + "$ref": "#/components/schemas/CachedContentUsageMetadata", "readOnly": true + }, + "toolConfig": { + "$ref": "#/components/schemas/ToolConfig", + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools." } }, - "description": "Record for a single tuning step." + "type": "object" }, - "UrlMetadata": { - "description": "Context of the a single url retrieval.", + "CitationMetadata": { "type": "object", + "description": "A collection of source attributions for a piece of content.", "properties": { - "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" - }, - "retrievedUrl": { - "type": "string", - "description": "Retrieved url by the tool." + "citationSources": { + "type": "array", + "items": { + "$ref": "#/components/schemas/CitationSource" + }, + "description": "Citations to sources for a specific response." } } }, "GoogleAiGenerativelanguageV1betaSegment": { "type": "object", + "description": "Segment of the content.", "properties": { - "partIndex": { - "description": "The index of a Part object within its parent Content object.", - "type": "integer", - "format": "int32" - }, "startIndex": { - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", "type": "integer", - "format": "int32" + "format": "int32", + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero." }, - "text": { - "type": "string", - "description": "The text corresponding to the segment from the response." + "partIndex": { + "type": "integer", + "format": "int32", + "description": "The index of a Part object within its parent Content object." }, "endIndex": { - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", "type": "integer", - "format": "int32" + "format": "int32", + "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero." + }, + "text": { + "description": "The text corresponding to the segment from the response.", + "type": "string" } - }, - "description": "Segment of the content." + } }, - "CustomMetadata": { + "TuningSnapshot": { + "type": "object", + "description": "Record for a single tuning step.", "properties": { - "stringValue": { - "description": "The string value of the metadata to store.", - "type": "string" - }, - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" - }, - "numericValue": { - "description": "The numeric value of the metadata to store.", + "meanLoss": { + "description": "Output only. The mean loss of the training examples for this step.", + "readOnly": true, "type": "number", "format": "float" }, - "key": { - "type": "string", - "description": "Required. The key of the metadata to store." - } - }, - "type": "object", - "description": "User provided metadata stored as key-value pairs." - }, - "EmbedContentBatch": { - "description": "A resource representing a batch of `EmbedContent` requests.", - "properties": { - "displayName": { - "description": "Required. The user-defined name of this batch.", - "type": "string" - }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" - }, - "batchStats": { - "description": "Output only. Stats about the batch.", + "epoch": { + "description": "Output only. The epoch this step was part of.", "readOnly": true, - "$ref": "#/components/schemas/EmbedContentBatchStats" + "type": "integer", + "format": "int32" }, - "updateTime": { - "description": "Output only. The time at which the batch was last updated.", + "computeTime": { "readOnly": true, "type": "string", - "format": "google-datetime" + "format": "google-datetime", + "description": "Output only. The timestamp when this metric was computed." }, - "state": { - "description": "Output only. The state of the batch.", + "step": { + "description": "Output only. The tuning step.", "readOnly": true, - "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" - ], - "type": "string" + "type": "integer", + "format": "int32" + } + } + }, + "GenerationConfig": { + "type": "object", + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", + "properties": { + "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]." }, - "name": { - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "readOnly": true, - "type": "string" + "seed": { + "type": "integer", + "format": "int32", + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed." }, - "output": { - "description": "Output only. The output of the batch request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentBatchOutput" + "presencePenalty": { + "type": "number", + "format": "float", + "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary." }, - "createTime": { - "description": "Output only. The time at which the batch was created.", - "readOnly": true, - "type": "string", - "format": "google-datetime" + "thinkingConfig": { + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", + "$ref": "#/components/schemas/ThinkingConfig" }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "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" }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "type": "string", - "format": "int64" + "responseLogprobs": { + "description": "Optional. If true, export the logprobs results in response.", + "type": "boolean" }, - "endTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch processing completed.", - "readOnly": true - } - }, - "type": "object" - }, - "UsageMetadata": { - "properties": { - "toolUsePromptTokenCount": { - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "readOnly": true, - "type": "integer", - "format": "int32" + "topP": { + "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "type": "number", + "format": "float" }, - "totalTokenCount": { - "description": "Total token count for the generation request (prompt + response candidates).", + "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" }, - "promptTokensDetails": { - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "cacheTokensDetails": { - "type": "array", + "stopSequences": { + "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "string" }, - "description": "Output only. List of modalities of the cached content in the request input.", - "readOnly": true + "type": "array" }, - "promptTokenCount": { - "type": "integer", - "format": "int32", - "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." - }, - "toolUsePromptTokensDetails": { + "responseModalities": { "type": "array", + "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed for tool-use request inputs.", - "readOnly": true + "type": "string", + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ], + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "VIDEO" + ] + } }, - "candidatesTokenCount": { - "description": "Total number of tokens across all the generated response candidates.", + "logprobs": { + "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", "type": "integer", "format": "int32" }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content)", + "candidateCount": { + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", "type": "integer", "format": "int32" }, - "thoughtsTokenCount": { - "type": "integer", - "format": "int32", - "description": "Output only. Number of tokens of thoughts for thinking models.", - "readOnly": true + "imageConfig": { + "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", + "$ref": "#/components/schemas/ImageConfig" }, - "candidatesTokensDetails": { - "description": "Output only. List of modalities that were returned in the response.", - "readOnly": true, - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "mediaResolution": { + "type": "string", + "description": "Optional. If specified, the media resolution specified will be used.", + "x-enum-descriptions": [ + "Media resolution has not been set.", + "Media resolution set to low (64 tokens).", + "Media resolution set to medium (256 tokens).", + "Media resolution set to high (zoomed reframing with 256 tokens)." + ], + "enum": [ + "MEDIA_RESOLUTION_UNSPECIFIED", + "MEDIA_RESOLUTION_LOW", + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" + ] }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "speechConfig": { + "$ref": "#/components/schemas/SpeechConfig", + "description": "Optional. The speech generation config." + }, + "responseSchema": { + "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", + "$ref": "#/components/schemas/Schema" + }, + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", + "type": "boolean" + }, + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + }, + "maxOutputTokens": { "type": "integer", "format": "int32", - "readOnly": true + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function." }, - "responseTokensDetails": { - "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "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." } - }, - "type": "object", - "description": "Metadata on the generation request's token usage." + } }, - "Maps": { + "Image": { + "description": "Chunk from image search.", "properties": { - "uri": { - "type": "string", - "description": "URI reference of the place." - }, "title": { - "type": "string", - "description": "Title of the place." + "description": "The title of the web page that the image is from.", + "type": "string" }, - "text": { - "type": "string", - "description": "Text description of the place answer." + "domain": { + "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "type": "string" }, - "placeId": { - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", + "sourceUri": { + "description": "The web page URI for attribution.", "type": "string" }, - "placeAnswerSources": { - "description": "Sources that provide answers about the features of a given place in Google Maps.", - "$ref": "#/components/schemas/PlaceAnswerSources" - } - }, - "type": "object", - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place." - }, - "CreateFileRequest": { - "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" + "imageUri": { + "description": "The image asset URL.", + "type": "string" } }, - "type": "object", - "description": "Request for `CreateFile`." + "type": "object" }, - "RegisterFilesResponse": { + "GroundingChunkCustomMetadata": { "type": "object", + "description": "User provided metadata about the GroundingFact.", "properties": { - "files": { - "type": "array", - "items": { - "$ref": "#/components/schemas/File" - }, - "description": "The registered files to be used when calling GenerateContent." - } - }, - "description": "Response for `RegisterFiles`." - }, - "GoogleSearch": { - "properties": { - "timeRangeFilter": { - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", - "$ref": "#/components/schemas/Interval" + "key": { + "description": "The key of the metadata.", + "type": "string" }, - "searchTypes": { - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", - "$ref": "#/components/schemas/SearchTypes" + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" + }, + "numericValue": { + "type": "number", + "format": "float", + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used." + }, + "stringValue": { + "description": "Optional. The string value of the metadata.", + "type": "string" } - }, - "type": "object", - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." + } }, - "UrlContext": { + "BatchEmbedContentsRequest": { "type": "object", - "properties": {}, - "description": "Tool to support URL context retrieval." - }, - "ListOperationsResponse": { + "description": "Batch request to get embeddings from the model for a list of prompts.", "properties": { - "unreachable": { + "requests": { "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/EmbedContentRequest" }, - "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations." - }, - "operations": { - "description": "A list of operations that matches the specified filter in the request.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Operation" - } - }, - "nextPageToken": { - "type": "string", - "description": "The standard List next-page token." - } - }, - "type": "object", - "description": "The response message for Operations.ListOperations." - }, - "EmbedContentBatchStats": { - "properties": { - "requestCount": { - "type": "string", - "format": "int64", - "description": "Output only. The number of requests in the batch.", - "readOnly": true - }, - "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 + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`." } - }, + } + }, + "UrlContext": { + "description": "Tool to support URL context retrieval.", + "properties": {}, + "type": "object" + }, + "RetrievalConfig": { "type": "object", - "description": "Stats about the batch." + "description": "Retrieval config.", + "properties": { + "latLng": { + "$ref": "#/components/schemas/LatLng", + "description": "Optional. The location of the user." + }, + "languageCode": { + "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", + "type": "string" + } + } }, - "CountTokensResponse": { - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "GoogleAiGenerativelanguageV1betaGroundingSupport": { "type": "object", + "description": "Grounding support.", "properties": { - "totalTokens": { - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", - "type": "integer", - "format": "int32" + "segment": { + "description": "Segment of the content this support belongs to.", + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content).", - "type": "integer", - "format": "int32" + "confidenceScores": { + "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.", + "type": "array" }, - "promptTokensDetails": { - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, + "groundingChunkIndices": { "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "type": "integer", + "format": "int32" + }, + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order)." }, - "cacheTokensDetails": { + "renderedParts": { + "readOnly": true, "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "integer", + "format": "int32" }, - "description": "Output only. List of modalities that were processed in the cached content.", - "readOnly": true + "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." } } }, - "Hyperparameters": { - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "ListFilesResponse": { + "description": "Response for `ListFiles`.", "properties": { - "learningRate": { - "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", - "type": "number", - "format": "float" - }, - "learningRateMultiplier": { - "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.", - "type": "number", - "format": "float" + "files": { + "type": "array", + "items": { + "$ref": "#/components/schemas/File" + }, + "description": "The list of `File`s." }, - "batchSize": { - "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", - "type": "integer", - "format": "int32" + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "type": "string" + } + }, + "type": "object" + }, + "ModalityTokenCount": { + "type": "object", + "description": "Represents token counting info for a single modality.", + "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" + ], + "type": "string" }, - "epochCount": { - "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used.", + "tokenCount": { "type": "integer", - "format": "int32" + "format": "int32", + "description": "Number of tokens." + } + } + }, + "RegisterFilesRequest": { + "description": "Request for `RegisterFiles`.", + "properties": { + "uris": { + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "items": { + "type": "string" + }, + "type": "array" } }, "type": "object" }, - "FileSearchStore": { - "description": "A `FileSearchStore` is a collection of `Document`s.", - "type": "object", + "ListModelsResponse": { + "description": "Response from `ListModel` containing a paginated list of Models.", "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, + "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" }, - "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`.", + "models": { + "items": { + "$ref": "#/components/schemas/Model" + }, + "description": "The returned Models.", + "type": "array" + } + }, + "type": "object" + }, + "EmbedContentBatchStats": { + "type": "object", + "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" }, - "pendingDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "failedRequestCount": { "readOnly": true, "type": "string", - "format": "int64" - }, - "displayName": { - "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", - "type": "string" - }, - "createTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", - "readOnly": true + "format": "int64", + "description": "Output only. The number of requests that failed to be processed." }, - "failedDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "requestCount": { "readOnly": true, "type": "string", - "format": "int64" + "format": "int64", + "description": "Output only. The number of requests in the batch." }, - "updateTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "successfulRequestCount": { "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "activeDocumentsCount": { "type": "string", "format": "int64", - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", - "readOnly": true + "description": "Output only. The number of requests that were successfully processed." } } }, - "Interval": { - "properties": { - "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." - }, - "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." - } - }, - "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." - }, - "Dataset": { + "BatchGenerateContentRequest": { "type": "object", + "description": "Request for a `BatchGenerateContent` operation.", "properties": { - "examples": { - "description": "Optional. Inline examples with simple input/output text.", - "$ref": "#/components/schemas/TuningExamples" + "batch": { + "$ref": "#/components/schemas/GenerateContentBatch", + "description": "Required. The batch to create." } - }, - "description": "Dataset for training or validation." + } }, - "SearchEntryPoint": { - "description": "Google search entry point.", + "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": { - "sdkBlob": { - "description": "Optional. Base64 encoded JSON representing array of tuple.", - "type": "string", - "format": "byte" + "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" }, - "renderedContent": { - "type": "string", - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview." + "parts": { + "type": "array", + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", + "items": { + "$ref": "#/components/schemas/Part" + } } } }, - "McpServer": { - "type": "object", + "VideoMetadata": { + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", "properties": { - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" + "endOffset": { + "description": "Optional. The end offset of the video.", + "type": "string", + "format": "google-duration" }, - "name": { + "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" + }, + "startOffset": { "type": "string", - "description": "The name of the MCPServer." + "format": "google-duration", + "description": "Optional. The start offset of the video." } }, - "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" - }, - "ListFileSearchStoresResponse": { "type": "object", - "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." - }, - "fileSearchStores": { - "type": "array", - "items": { - "$ref": "#/components/schemas/FileSearchStore" - }, - "description": "The returned rag_stores." - } - }, - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`." + "deprecated": true }, - "InlinedRequest": { + "ExecutableCode": { + "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" + "code": { + "description": "Required. The code to be executed.", + "type": "string" + }, + "language": { + "description": "Required. Programming language of the `code`.", + "x-enum-descriptions": [ + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." + ], + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ], + "type": "string" }, - "metadata": { - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object", - "description": "Optional. The metadata to be associated with the request." + "id": { + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", + "type": "string" } }, - "type": "object", - "description": "The request to be processed in the batch." + "type": "object" }, - "GroundingPassageId": { - "description": "Identifier for a part within a `GroundingPassage`.", + "Interval": { + "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", "properties": { - "passageId": { + "endTime": { + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", "type": "string", - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", - "readOnly": true + "format": "google-datetime" }, - "partIndex": { - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", - "readOnly": true, - "type": "integer", - "format": "int32" + "startTime": { + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", + "type": "string", + "format": "google-datetime" } }, "type": "object" }, - "FunctionResponsePart": { + "StringList": { + "type": "object", + "description": "User provided string values assigned to a single metadata key.", "properties": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" + "values": { + "description": "The string values of the metadata to store.", + "items": { + "type": "string" + }, + "type": "array" } - }, - "type": "object", - "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes." + } }, - "SpeakerVoiceConfig": { + "Empty": { + "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", + "properties": {}, + "type": "object" + }, + "FunctionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", "properties": { - "speaker": { - "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", + "args": { + "type": "object", + "description": "Optional. The function parameters and values in JSON object format.", + "additionalProperties": { + "description": "Properties of the object." + } + }, + "name": { + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", "type": "string" }, - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" + "id": { + "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", + "type": "string" } }, - "type": "object", - "description": "The configuration for a single speaker in a multi speaker setup." + "type": "object" }, - "UploadToFileSearchStoreRequest": { + "GenerateContentResponse": { + "type": "object", + "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", "properties": { - "customMetadata": { - "type": "array", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the data." + "modelStatus": { + "description": "Output only. The current model status of this model.", + "$ref": "#/components/schemas/ModelStatus", + "readOnly": true }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "usageMetadata": { + "description": "Output only. Metadata on the generation requests' token usage.", + "$ref": "#/components/schemas/UsageMetadata", + "readOnly": true }, - "mimeType": { + "modelVersion": { + "readOnly": true, "type": "string", - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content." + "description": "Output only. The model version used to generate the response." }, - "displayName": { - "description": "Optional. Display name of the created document.", - "type": "string" + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" + }, + "candidates": { + "type": "array", + "description": "Candidate responses from the model.", + "items": { + "$ref": "#/components/schemas/Candidate" + } + }, + "responseId": { + "readOnly": true, + "type": "string", + "description": "Output only. response_id is used to identify each response." } - }, - "type": "object", - "description": "Request for `UploadToFileSearchStore`." + } }, - "Blob": { - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", + "UploadToFileSearchStoreRequest": { + "type": "object", + "description": "Request for `UploadToFileSearchStore`.", "properties": { - "data": { - "type": "string", - "format": "byte", - "description": "Raw bytes for media formats." + "displayName": { + "description": "Optional. Display name of the created document.", + "type": "string" + }, + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" }, "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", "type": "string" - } - }, - "type": "object" - }, - "SearchTypes": { - "type": "object", - "properties": { - "webSearch": { - "description": "Optional. Enables web search. Only text results are returned.", - "$ref": "#/components/schemas/WebSearch" }, - "imageSearch": { - "description": "Optional. Enables image search. Image bytes are returned.", - "$ref": "#/components/schemas/ImageSearch" - } - }, - "description": "Different types of search that can be enabled on the GoogleSearch tool." - }, - "ContentEmbedding": { - "type": "object", - "properties": { - "values": { - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", + "customMetadata": { "type": "array", + "description": "Custom metadata to be associated with the data.", "items": { - "type": "number", - "format": "float" + "$ref": "#/components/schemas/CustomMetadata" } + } + } + }, + "SafetyRating": { + "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", + "properties": { + "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 + ], + "type": "string", + "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" + ] }, - "shape": { - "type": "array", - "items": { - "type": "integer", - "format": "int32" - }, - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048])." + "probability": { + "type": "string", + "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" + ] + }, + "blocked": { + "description": "Was this content blocked because of this rating?", + "type": "boolean" } }, - "description": "A list of floats representing an embedding." + "type": "object" }, - "ExecutableCode": { - "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", + "FunctionCallingConfig": { "type": "object", + "description": "Configuration for specifying function calling behavior.", "properties": { - "code": { - "description": "Required. The code to be executed.", - "type": "string" - }, - "id": { - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", - "type": "string" - }, - "language": { + "mode": { "type": "string", - "description": "Required. Programming language of the `code`.", + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." + "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": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" + "MODE_UNSPECIFIED", + "AUTO", + "ANY", + "NONE", + "VALIDATED" ] + }, + "allowedFunctionNames": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names." } } }