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 4934e874a..1178447f0 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( /// /// /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Configures the input to the batch request. /// - /// - /// 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. + /// + /// 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}`. - /// /// 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? priority = default, + string? model = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? displayName = default, - string? priority = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, - string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { + Priority = priority, + Model = model, InputConfig = inputConfig, - BatchStats = batchStats, DisplayName = displayName, - Priority = priority, + BatchStats = batchStats, Output = output, - Model = model, }; 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 d66719414..243d67848 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 @@ -397,20 +397,20 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Configures the input to the batch request. /// - /// - /// 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. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Stats about the batch. /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. @@ -421,22 +421,22 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.InputConfig? inputConfig = default, - global::Google.Gemini.BatchStats? batchStats = default, - string? displayName = default, string? priority = default, string? model = default, + global::Google.Gemini.InputConfig? inputConfig = default, + string? displayName = default, + global::Google.Gemini.BatchStats? batchStats = 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 { - InputConfig = inputConfig, - BatchStats = batchStats, - DisplayName = displayName, Priority = priority, Model = model, + InputConfig = inputConfig, + DisplayName = displayName, + BatchStats = batchStats, Output = output, }; 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 9ec7524d9..2c495e808 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 @@ -383,57 +383,57 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// /// /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Input only. New TTL for this resource, input only. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// 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 CachedContentsCreateAsync( string? displayName = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, string? expireTime = default, string? ttl = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { DisplayName = displayName, - Contents = contents, UsageMetadata = usageMetadata, Tools = tools, - SystemInstruction = systemInstruction, ExpireTime = expireTime, Ttl = ttl, - ToolConfig = toolConfig, Model = model, + ToolConfig = toolConfig, + Contents = contents, + SystemInstruction = systemInstruction, }; 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 81ee8bb46..c18af9bc6 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 @@ -400,29 +400,29 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// /// /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Input only. New TTL for this resource, input only. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// 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 @@ -431,28 +431,28 @@ partial void ProcessCachedContentsPatchResponseContent( string cachedContentsId, string? updateMask = default, string? displayName = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, string? expireTime = default, string? ttl = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { DisplayName = displayName, - Contents = contents, UsageMetadata = usageMetadata, Tools = tools, - SystemInstruction = systemInstruction, ExpireTime = expireTime, Ttl = ttl, - ToolConfig = toolConfig, Model = model, + ToolConfig = toolConfig, + Contents = contents, + SystemInstruction = systemInstruction, }; return await CachedContentsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs index ebe07e6fc..c39125421 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs @@ -387,31 +387,31 @@ partial void ProcessCorporaPermissionsCreateResponseContent( /// Create a permission to a specific resource. /// /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, + string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { + EmailAddress = emailAddress, Role = role, GranteeType = granteeType, - EmailAddress = emailAddress, }; return await CorporaPermissionsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs index 4a40647fd..3b122d4dc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs @@ -404,15 +404,15 @@ partial void ProcessCorporaPermissionsPatchResponseContent( /// /// /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -420,17 +420,17 @@ partial void ProcessCorporaPermissionsPatchResponseContent( string permissionsId, string corporaId, string? updateMask = default, + string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { + EmailAddress = emailAddress, Role = role, GranteeType = granteeType, - EmailAddress = emailAddress, }; return await CorporaPermissionsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs index 236bdc456..710e2ce33 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. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, - Store = store, - Tools = tools, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, + CachedContent = cachedContent, + SafetySettings = safetySettings, ServiceTier = serviceTier, + Model = model, + ToolConfig = toolConfig, Contents = contents, - CachedContent = cachedContent, + GenerationConfig = generationConfig, + Tools = tools, + Store = store, }; 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 a465157e1..e6e947b87 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`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, - Store = store, - Tools = tools, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, + CachedContent = cachedContent, + SafetySettings = safetySettings, ServiceTier = serviceTier, + Model = model, + ToolConfig = toolConfig, Contents = contents, - CachedContent = cachedContent, + GenerationConfig = generationConfig, + Tools = tools, + Store = store, }; 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 b8c1f5023..99c37bdf8 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`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = 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 { - Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, - Store = store, - Tools = tools, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, + CachedContent = cachedContent, + SafetySettings = safetySettings, ServiceTier = serviceTier, + Model = model, + ToolConfig = toolConfig, Contents = contents, - CachedContent = cachedContent, + GenerationConfig = generationConfig, + Tools = tools, + Store = store, }; var __enumerable = DynamicStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs index b9714ddbd..32fa4016e 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 @@ -387,15 +387,15 @@ 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. 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. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -404,18 +404,18 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// public async global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - global::System.Collections.Generic.IList? customMetadata = default, string? mimeType = default, string? displayName = 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.UploadToFileSearchStoreRequest { - CustomMetadata = customMetadata, MimeType = mimeType, DisplayName = displayName, + CustomMetadata = customMetadata, ChunkingConfig = chunkingConfig, }; 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 12410de5a..5fd47aa9f 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. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, - Store = store, - Tools = tools, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, + CachedContent = cachedContent, + SafetySettings = safetySettings, ServiceTier = serviceTier, + Model = model, + ToolConfig = toolConfig, Contents = contents, - CachedContent = cachedContent, + GenerationConfig = generationConfig, + Tools = tools, + Store = store, }; 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 d9c0afacd..d4bfc9519 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`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, - Store = store, - Tools = tools, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, + CachedContent = cachedContent, + SafetySettings = safetySettings, ServiceTier = serviceTier, + Model = model, + ToolConfig = toolConfig, Contents = contents, - CachedContent = cachedContent, + GenerationConfig = generationConfig, + Tools = tools, + Store = store, }; 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 579c13c07..0da4b3b30 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`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = 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 { - Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, - Store = store, - Tools = tools, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, + CachedContent = cachedContent, + SafetySettings = safetySettings, ServiceTier = serviceTier, + Model = model, + ToolConfig = toolConfig, Contents = contents, - CachedContent = cachedContent, + GenerationConfig = generationConfig, + Tools = tools, + Store = store, }; 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 408d9428f..b94bb2c2d 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 /// /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. - /// - /// - /// 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. List of project numbers that have read access to the tuned model. - /// /// /// Optional. A short description of this model. /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// + /// Tuned model as a source for training a new model. + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Tuning tasks that create tuned models. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - string? baseModel = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, - global::Google.Gemini.TuningTask? tuningTask = default, string? displayName = default, + int? topK = default, float? topP = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, string? description = default, float? temperature = default, + string? baseModel = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - BaseModel = baseModel, - TunedModelSource = tunedModelSource, - TopK = topK, - TuningTask = tuningTask, DisplayName = displayName, + TopK = topK, TopP = topP, - ReaderProjectNumbers = readerProjectNumbers, Description = description, Temperature = temperature, + BaseModel = baseModel, + TunedModelSource = tunedModelSource, + ReaderProjectNumbers = readerProjectNumbers, + TuningTask = tuningTask, }; return await TunedModelsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs index 03799b2bd..af83a2902 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. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, - Store = store, - Tools = tools, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, + CachedContent = cachedContent, + SafetySettings = safetySettings, ServiceTier = serviceTier, + Model = model, + ToolConfig = toolConfig, Contents = contents, - CachedContent = cachedContent, + GenerationConfig = generationConfig, + Tools = tools, + Store = store, }; 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 25487bbd8..dd6e05763 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( /// /// /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. - /// - /// - /// 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. List of project numbers that have read access to the tuned model. - /// /// /// Optional. A short description of this model. /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// + /// Tuned model as a source for training a new model. + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Tuning tasks that create tuned models. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - string? baseModel = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, - global::Google.Gemini.TuningTask? tuningTask = default, string? displayName = default, + int? topK = default, float? topP = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, string? description = default, float? temperature = default, + string? baseModel = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - BaseModel = baseModel, - TunedModelSource = tunedModelSource, - TopK = topK, - TuningTask = tuningTask, DisplayName = displayName, + TopK = topK, TopP = topP, - ReaderProjectNumbers = readerProjectNumbers, Description = description, Temperature = temperature, + BaseModel = baseModel, + TunedModelSource = tunedModelSource, + ReaderProjectNumbers = readerProjectNumbers, + TuningTask = tuningTask, }; return await TunedModelsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs index aac136b8c..cf4e94768 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs @@ -387,31 +387,31 @@ partial void ProcessTunedModelsPermissionsCreateResponseContent( /// Create a permission to a specific resource. /// /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, + string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { + EmailAddress = emailAddress, Role = role, GranteeType = granteeType, - EmailAddress = emailAddress, }; return await TunedModelsPermissionsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs index 01045c521..190a30554 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs @@ -404,15 +404,15 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( /// /// /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -420,17 +420,17 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( string tunedModelsId, string permissionsId, string? updateMask = default, + string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { + EmailAddress = emailAddress, Role = role, GranteeType = granteeType, - EmailAddress = emailAddress, }; return await TunedModelsPermissionsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs index 287edc24e..786ef5745 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`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, - Store = store, - Tools = tools, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, + CachedContent = cachedContent, + SafetySettings = safetySettings, ServiceTier = serviceTier, + Model = model, + ToolConfig = toolConfig, Contents = contents, - CachedContent = cachedContent, + GenerationConfig = generationConfig, + Tools = tools, + Store = store, }; 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 1dda6be1f..42d1bb3c3 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`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = 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 { - Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, - Store = store, - Tools = tools, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, + CachedContent = cachedContent, + SafetySettings = safetySettings, ServiceTier = serviceTier, + Model = model, + ToolConfig = toolConfig, Contents = contents, - CachedContent = cachedContent, + GenerationConfig = generationConfig, + Tools = tools, + Store = store, }; 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 89f033161..3655ba30d 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 /// /// /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Configures the input to the batch request. /// - /// - /// 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. + /// + /// 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}`. - /// /// 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? priority = default, + string? model = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? displayName = default, - string? priority = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, - string? model = 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 74fec1669..ded18762a 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 @@ -25,20 +25,20 @@ public partial interface IGeminiClient /// /// /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Configures the input to the batch request. /// - /// - /// 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. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Stats about the batch. /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. @@ -49,11 +49,11 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.InputConfig? inputConfig = default, - global::Google.Gemini.BatchStats? batchStats = default, - string? displayName = default, string? priority = default, string? model = default, + global::Google.Gemini.InputConfig? inputConfig = default, + string? displayName = default, + global::Google.Gemini.BatchStats? batchStats = 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 24f9cd675..711cecb3c 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 @@ -22,43 +22,43 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// /// /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Input only. New TTL for this resource, input only. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// 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 CachedContentsCreateAsync( string? displayName = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, string? expireTime = default, string? ttl = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs index 3669bf4f8..a3a5c6c63 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 @@ -28,29 +28,29 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// /// /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Input only. New TTL for this resource, input only. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// 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 @@ -59,14 +59,14 @@ public partial interface IGeminiClient string cachedContentsId, string? updateMask = default, string? displayName = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, string? expireTime = default, string? ttl = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs index e6352a7d1..0edd5e102 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs @@ -22,23 +22,23 @@ public partial interface IGeminiClient /// Create a permission to a specific resource. /// /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, + string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs index f49f85df7..0d5f13e2f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs @@ -28,15 +28,15 @@ public partial interface IGeminiClient /// /// /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -44,9 +44,9 @@ public partial interface IGeminiClient string permissionsId, string corporaId, string? updateMask = default, + string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs index 2e2b8157a..ffb9e79df 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. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = 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 8222f8f5f..5de21560b 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`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = 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 c821c9dda..c97680f05 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`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = 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 11973150d..5c4ebe1d5 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 @@ -22,15 +22,15 @@ 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. 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. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -39,9 +39,9 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - global::System.Collections.Generic.IList? customMetadata = default, string? mimeType = default, string? displayName = 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.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs index 738db14e3..cba553415 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. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = 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 023301f1d..cacc5f1c3 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`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = 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 bcdec4370..fb6aed744 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`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = 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 d627f5c69..c16d5ded8 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 /// /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. - /// - /// - /// 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. List of project numbers that have read access to the tuned model. - /// /// /// Optional. A short description of this model. /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// + /// Tuned model as a source for training a new model. + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Tuning tasks that create tuned models. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - string? baseModel = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, - global::Google.Gemini.TuningTask? tuningTask = default, string? displayName = default, + int? topK = default, float? topP = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, string? description = default, float? temperature = default, + string? baseModel = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs index 69b9f2f67..a0ff8adc2 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. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = 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 2a4370075..2bdf1b994 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 /// /// /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. - /// - /// - /// 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. List of project numbers that have read access to the tuned model. - /// /// /// Optional. A short description of this model. /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// + /// Tuned model as a source for training a new model. + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Tuning tasks that create tuned models. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - string? baseModel = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, - global::Google.Gemini.TuningTask? tuningTask = default, string? displayName = default, + int? topK = default, float? topP = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, string? description = default, float? temperature = default, + string? baseModel = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs index 0b0f721be..837f32b19 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs @@ -22,23 +22,23 @@ public partial interface IGeminiClient /// Create a permission to a specific resource. /// /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, + string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs index 7becdff78..4404bb731 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs @@ -28,15 +28,15 @@ public partial interface IGeminiClient /// /// /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -44,9 +44,9 @@ public partial interface IGeminiClient string tunedModelsId, string permissionsId, string? updateMask = default, + string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs index db45425a5..e7a8b29ca 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`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = 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 86896b5b5..7140bed13 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`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// 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? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? contents = default, - string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, + bool? store = 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 95a119134..e033888a5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,425 +13,425 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), 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.EmbedContentBatchStats))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponseToolType), TypeInfoPropertyName = "ToolResponseToolType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Tool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclaration))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.McpServer))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecution))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearchRetrieval))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleMaps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContext))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Operation))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] + [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.TuningExample))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LatLng))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(double))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Hyperparameters))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationSource))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.MultiSpeakerVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WhiteSpaceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ChunkingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StringList))] + [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.VideoFileMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSource), TypeInfoPropertyName = "FileSource2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileState), TypeInfoPropertyName = "FileState2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(byte[]))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StreamableHttpTransport))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputEmbedContentConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchState), TypeInfoPropertyName = "EmbedContentBatchState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchOutput))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelSource))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContentUsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponseToolType), TypeInfoPropertyName = "ToolResponseToolType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PrebuiltVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Part))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Blob))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCode))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResult))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequestTaskType), TypeInfoPropertyName = "EmbedContentRequestTaskType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseBlob))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchStats))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchEntryPoint))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListGeneratedFilesResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFile))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AttributionSourceId))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SemanticRetrieverChunk))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningTask))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Dataset))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Hyperparameters))] - [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.CustomMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StringList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeakerVoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Permission))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PermissionRole), TypeInfoPropertyName = "PermissionRole2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PermissionGranteeType), TypeInfoPropertyName = "PermissionGranteeType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleMaps))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfigThinkingLevel), TypeInfoPropertyName = "ThinkingConfigThinkingLevel2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResult))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResultCandidate))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TopCandidates))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCode))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCodeLanguage), TypeInfoPropertyName = "ExecutableCodeLanguage2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Interval))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingPassageId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCountModality), TypeInfoPropertyName = "ModalityTokenCountModality2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PlaceAnswerSources))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchTypes))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListDocumentsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WebSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Candidate))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContextMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRating))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CandidateFinishReason), TypeInfoPropertyName = "CandidateFinishReason2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResult))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingAttribution))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Empty))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Document))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(double))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequests))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySetting))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Tool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequestServiceTier), TypeInfoPropertyName = "GenerateContentRequestServiceTier2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Model))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExample))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigMediaResolution), TypeInfoPropertyName = "GenerationConfigMediaResolution2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigResponseModalitie), TypeInfoPropertyName = "GenerationConfigResponseModalitie2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Part))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCall))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCall))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResult))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Blob))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.McpServer))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContent))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchGenerateContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DocumentState), TypeInfoPropertyName = "DocumentState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunk))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Maps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomLongRunningOperation))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadata))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFileSearchStoresResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearchStore))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListOperationsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCodeLanguage), TypeInfoPropertyName = "ExecutableCodeLanguage2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Interval))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchState), TypeInfoPropertyName = "GenerateContentBatchState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchStats))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchOutput))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Web))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievedContext))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Maps))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclarationBehavior), TypeInfoPropertyName = "FunctionDeclarationBehavior2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExamples))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] 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 87cd69ae0..e49a9845c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,7 +28,7 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type0 { get; set; } + public global::Google.Gemini.ToolResponse? Type0 { get; set; } /// /// /// @@ -36,1004 +36,1004 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type2 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type2 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type3 { get; set; } + public object? Type3 { get; set; } /// /// /// - public int? Type4 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type4 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type5 { get; set; } + public global::Google.Gemini.Tool? Type5 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type6 { get; set; } + public global::System.Collections.Generic.IList? Type6 { get; set; } /// /// /// - public float? Type7 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type7 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type8 { get; set; } + public global::System.Collections.Generic.IList? Type8 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type9 { get; set; } + public global::Google.Gemini.McpServer? Type9 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type10 { get; set; } + public global::Google.Gemini.GoogleSearch? Type10 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type11 { get; set; } + public global::Google.Gemini.CodeExecution? Type11 { get; set; } /// /// /// - public global::Google.Gemini.File? Type12 { get; set; } + public global::Google.Gemini.ComputerUse? Type12 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type13 { get; set; } + public global::Google.Gemini.FileSearch? Type13 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type14 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type14 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type15 { get; set; } + public global::Google.Gemini.GoogleMaps? Type15 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type16 { get; set; } + public global::Google.Gemini.UrlContext? Type16 { get; set; } /// /// /// - public byte[]? Type17 { get; set; } + public global::Google.Gemini.Operation? Type17 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type18 { get; set; } + public global::Google.Gemini.Status? Type18 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type19 { get; set; } + public bool? Type19 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type20 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type20 { get; set; } /// /// /// - public bool? Type21 { get; set; } + public global::System.Collections.Generic.IList? Type21 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type22 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type22 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type23 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type23 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type24 { get; set; } + public global::Google.Gemini.TuningExample? Type24 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type25 { get; set; } + public global::Google.Gemini.LatLng? Type25 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type26 { get; set; } + public double? Type26 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type27 { get; set; } + public global::Google.Gemini.Hyperparameters? Type27 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type28 { get; set; } + public float? Type28 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type29 { get; set; } + public int? Type29 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type30 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type30 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type31 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type31 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type32 { get; set; } + public global::System.Collections.Generic.IList? Type32 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type33 { get; set; } + public global::Google.Gemini.CustomMetadata? Type33 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type34 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type34 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type35 { get; set; } + public global::Google.Gemini.InlinedRequest? Type35 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type36 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type36 { get; set; } /// /// /// - public object? Type37 { get; set; } + public global::Google.Gemini.StringList? Type37 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type38 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type38 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type39 { get; set; } + public global::Google.Gemini.File? Type39 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type40 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type40 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type41 { get; set; } + public byte[]? Type41 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type42 { get; set; } + public global::Google.Gemini.FileState? Type42 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type43 { get; set; } + public global::Google.Gemini.FileSource? Type43 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type44 { get; set; } + public global::Google.Gemini.Corpus? Type44 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type45 { get; set; } + public global::Google.Gemini.UsageMetadata? Type45 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type46 { get; set; } + public global::System.Collections.Generic.IList? Type46 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type47 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type47 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type48 { get; set; } + public global::Google.Gemini.RetrievedContext? Type48 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type49 { get; set; } + public global::System.Collections.Generic.IList? Type49 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type50 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type50 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type51 { get; set; } + public global::Google.Gemini.CitationMetadata? Type51 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type52 { get; set; } + public global::System.Collections.Generic.IList? Type52 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type53 { get; set; } + public global::Google.Gemini.CitationSource? Type53 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type54 { get; set; } + public global::Google.Gemini.TopCandidates? Type54 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type55 { get; set; } + public global::System.Collections.Generic.IList? Type55 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type56 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type56 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type57 { get; set; } + public global::Google.Gemini.ImageSearch? Type57 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type58 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type58 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type59 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type59 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type60 { get; set; } + public global::System.Collections.Generic.IList? Type60 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type61 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type61 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type62 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type62 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type63 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type63 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type64 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type64 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type65 { get; set; } + public global::System.Collections.Generic.IList? Type65 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type66 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type66 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type67 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type67 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type68 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type68 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type69 { get; set; } + public global::Google.Gemini.Model? Type69 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type70 { get; set; } + public global::System.Collections.Generic.IList? Type70 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type71 { get; set; } + public global::Google.Gemini.Web? Type71 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type72 { get; set; } + public global::Google.Gemini.CachedContent? Type72 { get; set; } /// /// /// - public double? Type73 { get; set; } + public global::System.Collections.Generic.IList? Type73 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type74 { get; set; } + public global::Google.Gemini.ToolConfig? Type74 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type75 { get; set; } + public global::System.Collections.Generic.IList? Type75 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type76 { get; set; } + public global::Google.Gemini.Content? Type76 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type77 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type77 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type78 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type78 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type79 { get; set; } + public global::Google.Gemini.Part? Type79 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type80 { get; set; } + public global::Google.Gemini.ToolCall? Type80 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type81 { get; set; } + public global::Google.Gemini.Blob? Type81 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type82 { get; set; } + public global::Google.Gemini.ExecutableCode? Type82 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type83 { get; set; } + public global::Google.Gemini.FileData? Type83 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type84 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type84 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type85 { get; set; } + public global::Google.Gemini.FunctionResponse? Type85 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type86 { get; set; } + public global::Google.Gemini.FunctionCall? Type86 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type87 { get; set; } + public global::Google.Gemini.VideoMetadata? Type87 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type88 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type88 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type89 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type89 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type90 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type90 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type91 { get; set; } + public global::Google.Gemini.BatchStats? Type91 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type92 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type92 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type93 { get; set; } + public global::Google.Gemini.InlinedResponse? Type93 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type94 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type94 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type95 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type95 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type96 { get; set; } + public global::System.Collections.Generic.IList? Type96 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type97 { get; set; } + public global::Google.Gemini.GeneratedFile? Type97 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type98 { get; set; } + public global::Google.Gemini.VoiceConfig? Type98 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type99 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type99 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type100 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type100 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type101 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type101 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type102 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type102 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type103 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type103 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type104 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type104 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type105 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type105 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type106 { get; set; } + public global::System.Collections.Generic.IList? Type106 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type107 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type107 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type108 { get; set; } + public global::Google.Gemini.SearchTypes? Type108 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type109 { get; set; } + public global::Google.Gemini.WebSearch? Type109 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type110 { get; set; } + public global::Google.Gemini.Candidate? Type110 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type111 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type111 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type112 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type112 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type113 { get; set; } + public global::System.Collections.Generic.IList? Type113 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type114 { get; set; } + public global::Google.Gemini.SafetyRating? Type114 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type115 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type115 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type116 { get; set; } + public global::Google.Gemini.LogprobsResult? Type116 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type117 { get; set; } + public global::System.Collections.Generic.IList? Type117 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type118 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type118 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type119 { get; set; } + public global::Google.Gemini.Empty? Type119 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type120 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type120 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type121 { get; set; } + public global::Google.Gemini.Document? Type121 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type122 { get; set; } + public global::Google.Gemini.DocumentState? Type122 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type123 { get; set; } + public global::Google.Gemini.GroundingChunk? Type123 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type124 { get; set; } + public global::Google.Gemini.Image? Type124 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type125 { get; set; } + public global::Google.Gemini.Maps? Type125 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type126 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type126 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type127 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type127 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type128 { get; set; } + public global::System.Collections.Generic.IList? Type128 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type129 { get; set; } + public global::Google.Gemini.UrlMetadata? Type129 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type130 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type130 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type131 { get; set; } + public global::System.Collections.Generic.IList? Type131 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type132 { get; set; } + public global::Google.Gemini.FileSearchStore? Type132 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type133 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type133 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type134 { get; set; } + public global::System.Collections.Generic.IList? Type134 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type135 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type135 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type136 { get; set; } + public global::Google.Gemini.ImageConfig? Type136 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type137 { get; set; } + public global::Google.Gemini.Interval? Type137 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type138 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type138 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type139 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type139 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type140 { get; set; } + public global::Google.Gemini.Schema? Type140 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type141 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type141 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type142 { get; set; } + public global::System.Collections.Generic.IList? Type142 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type143 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type143 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type144 { get; set; } + public global::System.Collections.Generic.IList? Type144 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type145 { get; set; } + public global::Google.Gemini.TuningExamples? Type145 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type146 { get; set; } + public global::System.Collections.Generic.IList? Type146 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type147 { get; set; } + public global::Google.Gemini.SpeechConfig? Type147 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type148 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type148 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type149 { get; set; } + public global::Google.Gemini.InputConfig? Type149 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type150 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type150 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type151 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type151 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type152 { get; set; } + public global::Google.Gemini.TuningTask? Type152 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type153 { get; set; } + public global::Google.Gemini.Dataset? Type153 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type154 { get; set; } + public global::System.Collections.Generic.IList? Type154 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type155 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type155 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type156 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type156 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type157 { get; set; } + public global::System.Collections.Generic.IList? Type157 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type158 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type158 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type159 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type159 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type160 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type160 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type161 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type161 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type162 { get; set; } + public global::System.Collections.Generic.Dictionary? Type162 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type163 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type163 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type164 { get; set; } + public global::System.Collections.Generic.IList? Type164 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type165 { get; set; } + public global::Google.Gemini.TunedModel? Type165 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type166 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type166 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type167 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type167 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type168 { get; set; } + public global::System.Collections.Generic.IList? Type168 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type169 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type169 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type170 { get; set; } + public global::System.Collections.Generic.IList? Type170 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type171 { get; set; } + public global::Google.Gemini.GenerationConfig? Type171 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type172 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type172 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type173 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type173 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type174 { get; set; } + public global::System.Collections.Generic.IList? Type174 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type175 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type175 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type176 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type176 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type177 { get; set; } + public global::Google.Gemini.PromptFeedback? Type177 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type178 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type178 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type179 { get; set; } + public global::Google.Gemini.InlinedRequests? Type179 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type180 { get; set; } + public global::System.Collections.Generic.IList? Type180 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type181 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type181 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type182 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type182 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? 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.ModelStatus? Type184 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type185 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type185 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type186 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type186 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type187 { get; set; } + public global::Google.Gemini.TunedModelState? Type187 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type188 { get; set; } + public global::Google.Gemini.TunedModelSource? Type188 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type189 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type189 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type190 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type190 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type191 { get; set; } + public global::Google.Gemini.InlinedResponses? Type191 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type192 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type192 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type193 { get; set; } + public global::System.Collections.Generic.IList? Type193 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type194 { get; set; } + public global::Google.Gemini.Permission? Type194 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type195 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type195 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type196 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type196 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type197 { get; set; } + public global::System.Collections.Generic.IList? Type197 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type198 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type198 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type199 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type199 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type200 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type200 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type201 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type201 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type202 { get; set; } + public global::System.Collections.Generic.IList? Type202 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type203 { get; set; } + public global::Google.Gemini.SafetySetting? Type203 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type204 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type204 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type205 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type205 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type206 { get; set; } + public global::Google.Gemini.PermissionRole? Type206 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type207 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type207 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type208 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type208 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type209 { get; set; } + public global::System.Collections.Generic.IList? Type209 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type210 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type210 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type211 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type211 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type212 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type212 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type213 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? 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.TransferOwnershipRequest? Type215 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type215 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type216 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type216 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type217 { get; set; } + public global::System.Collections.Generic.IList? Type217 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type218 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type218 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type219 { get; set; } + public global::System.Collections.Generic.IList? Type219 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type220 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type220 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type221 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type221 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type222 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type222 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type223 { get; set; } + public global::System.Collections.Generic.IList? Type223 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type224 { get; set; } + public global::System.Collections.Generic.IList? Type224 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type225 { get; set; } + public global::System.Collections.Generic.IList? Type225 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type226 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type226 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type227 { get; set; } + public global::System.Collections.Generic.IList? Type227 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type228 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type228 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type229 { get; set; } + public global::System.Collections.Generic.IList? Type229 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type230 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type230 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type231 { get; set; } + public global::System.Collections.Generic.IList? Type231 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type232 { get; set; } + public global::System.Collections.Generic.IList? Type232 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type233 { get; set; } + public global::Google.Gemini.SchemaType? Type233 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type234 { get; set; } + public global::System.Collections.Generic.Dictionary? 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; } /// /// /// - public global::System.Collections.Generic.List? ListType3 { get; set; } + public global::System.Collections.Generic.List? ListType3 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType7 { get; set; } + public global::System.Collections.Generic.List? ListType7 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType8 { get; set; } + public global::System.Collections.Generic.List? ListType8 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType9 { get; set; } + public global::System.Collections.Generic.List? ListType9 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType10 { get; set; } + public global::System.Collections.Generic.List? ListType10 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType11 { get; set; } + public global::System.Collections.Generic.List? ListType11 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType12 { get; set; } + public global::System.Collections.Generic.List? ListType12 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType13 { get; set; } + public global::System.Collections.Generic.List? ListType13 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType14 { get; set; } + public global::System.Collections.Generic.List? ListType14 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType15 { get; set; } + public global::System.Collections.Generic.List? ListType15 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType16 { get; set; } + public global::System.Collections.Generic.List? ListType16 { get; set; } /// /// /// @@ -1041,110 +1041,110 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - 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.AttributionSourceId.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs index 2d96e6837..208866c41 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class AttributionSourceId { - /// - /// Identifier for a part within a `GroundingPassage`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingPassage")] - public global::Google.Gemini.GroundingPassageId? GroundingPassage { get; set; } - /// /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. /// [global::System.Text.Json.Serialization.JsonPropertyName("semanticRetrieverChunk")] public global::Google.Gemini.SemanticRetrieverChunk? SemanticRetrieverChunk { get; set; } + /// + /// Identifier for a part within a `GroundingPassage`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingPassage")] + public global::Google.Gemini.GroundingPassageId? GroundingPassage { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class AttributionSourceId /// /// Initializes a new instance of the class. /// - /// - /// Identifier for a part within a `GroundingPassage`. - /// /// /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. /// + /// + /// Identifier for a part within a `GroundingPassage`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public AttributionSourceId( - global::Google.Gemini.GroundingPassageId? groundingPassage, - global::Google.Gemini.SemanticRetrieverChunk? semanticRetrieverChunk) + global::Google.Gemini.SemanticRetrieverChunk? semanticRetrieverChunk, + global::Google.Gemini.GroundingPassageId? groundingPassage) { - this.GroundingPassage = groundingPassage; this.SemanticRetrieverChunk = semanticRetrieverChunk; + this.GroundingPassage = groundingPassage; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs index 195d98803..1ebf359da 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class BatchStats { /// - /// Output only. The number of requests that are still pending processing.
+ /// Output only. The number of requests in the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] - public string? PendingRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] + public string? RequestCount { get; set; } /// /// Output only. The number of requests that were successfully processed.
@@ -23,18 +23,18 @@ public sealed partial class BatchStats public string? SuccessfulRequestCount { get; set; } /// - /// Output only. The number of requests that failed to be processed.
+ /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] + public string? PendingRequestCount { get; set; } /// - /// Output only. The number of requests in the batch.
+ /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,35 +45,35 @@ public sealed partial class BatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that are still pending processing.
+ /// + /// 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 /// - /// - /// Output only. The number of requests that failed to be processed.
+ /// + /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - /// - /// Output only. The number of requests in the batch.
+ /// + /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( - string? pendingRequestCount, + string? requestCount, string? successfulRequestCount, - string? failedRequestCount, - string? requestCount) + string? pendingRequestCount, + string? failedRequestCount) { - this.PendingRequestCount = pendingRequestCount; + this.RequestCount = requestCount; this.SuccessfulRequestCount = successfulRequestCount; + this.PendingRequestCount = pendingRequestCount; this.FailedRequestCount = failedRequestCount; - this.RequestCount = requestCount; } /// 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 0af218939..f69739e5e 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 @@ -9,16 +9,17 @@ namespace Google.Gemini public sealed partial class CachedContent { /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// Output only. Creation time of the cache entry.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Optional. Input only. Immutable. The content to cache. + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Metadata on the usage of the cached content. @@ -27,23 +28,17 @@ public sealed partial class CachedContent public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } - - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. Creation time of the cache entry.
- /// Included only in responses + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { 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. @@ -57,12 +52,6 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] public string? Ttl { 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; } - /// /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
/// Included only in responses @@ -77,11 +66,22 @@ public sealed partial class CachedContent public string? Model { get; set; } /// - /// Output only. When the cache entry was last updated in UTC time.
- /// Included only in responses + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + + /// + /// Optional. Input only. Immutable. The content to cache. + /// + [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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -92,34 +92,29 @@ public sealed partial class CachedContent /// /// Initializes a new instance of the class. /// + /// + /// Output only. Creation time of the cache entry.
+ /// Included only in responses + /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// /// /// Metadata on the usage of the cached content. /// + /// + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses + /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// 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. /// /// /// Input only. New TTL for this resource, input only. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
/// Included only in responses @@ -127,39 +122,44 @@ public sealed partial class CachedContent /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Output only. When the cache entry was last updated in UTC time.
- /// Included only in responses + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// 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 CachedContent( + string? createTime, string? displayName, - global::System.Collections.Generic.IList? contents, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, + string? updateTime, global::System.Collections.Generic.IList? tools, - global::Google.Gemini.Content? systemInstruction, - string? createTime, string? expireTime, string? ttl, - global::Google.Gemini.ToolConfig? toolConfig, string? name, string? model, - string? updateTime) + global::Google.Gemini.ToolConfig? toolConfig, + global::System.Collections.Generic.IList? contents, + global::Google.Gemini.Content? systemInstruction) { + this.CreateTime = createTime; this.DisplayName = displayName; - this.Contents = contents; this.UsageMetadata = usageMetadata; + this.UpdateTime = updateTime; this.Tools = tools; - this.SystemInstruction = systemInstruction; - this.CreateTime = createTime; this.ExpireTime = expireTime; this.Ttl = ttl; - this.ToolConfig = toolConfig; this.Name = name; this.Model = model; - this.UpdateTime = updateTime; + this.ToolConfig = toolConfig; + this.Contents = contents; + this.SystemInstruction = systemInstruction; } /// 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 5b5cf90da..6fa49b070 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 @@ -22,11 +22,10 @@ public sealed partial class Candidate public int? TokenCount { get; set; } /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
- /// Included only in responses + /// Metadata related to url context retrieval tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] - public string? FinishMessage { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] + public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// /// Output only. Index of the candidate in the list of response candidates.
@@ -35,6 +34,18 @@ public sealed partial class Candidate [global::System.Text.Json.Serialization.JsonPropertyName("index")] public int? Index { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } + /// /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses @@ -44,11 +55,10 @@ public sealed partial class Candidate public global::Google.Gemini.CandidateFinishReason? FinishReason { 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; } /// /// Logprobs Result @@ -57,28 +67,18 @@ public sealed partial class Candidate 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; } - - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } - - /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// 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("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] + public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } /// - /// A collection of source attributions for a piece of content. + /// 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("citationMetadata")] - public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } /// /// Output only. Average log probability score of the candidate.
@@ -103,36 +103,36 @@ public sealed partial class Candidate /// Output only. Token count for this candidate.
/// Included only in responses /// - /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
- /// 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 /// + /// + /// 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. + /// /// /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// - /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
- /// Included only in responses + /// + /// A collection of source attributions for a piece of content. /// /// /// Logprobs Result /// - /// - /// Metadata related to url context retrieval tool. - /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// + /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// Included only in responses /// - /// - /// A collection of source attributions for a piece of content. + /// + /// 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.
@@ -144,28 +144,28 @@ public sealed partial class Candidate public Candidate( global::Google.Gemini.GroundingMetadata? groundingMetadata, int? tokenCount, - string? finishMessage, - int? index, - global::Google.Gemini.CandidateFinishReason? finishReason, - global::System.Collections.Generic.IList? groundingAttributions, - global::Google.Gemini.LogprobsResult? logprobsResult, global::Google.Gemini.UrlContextMetadata? urlContextMetadata, - global::Google.Gemini.Content? content, + int? index, global::System.Collections.Generic.IList? safetyRatings, + global::Google.Gemini.Content? content, + global::Google.Gemini.CandidateFinishReason? finishReason, global::Google.Gemini.CitationMetadata? citationMetadata, + global::Google.Gemini.LogprobsResult? logprobsResult, + global::System.Collections.Generic.IList? groundingAttributions, + string? finishMessage, double? avgLogprobs) { this.GroundingMetadata = groundingMetadata; this.TokenCount = tokenCount; - this.FinishMessage = finishMessage; - this.Index = index; - this.FinishReason = finishReason; - this.GroundingAttributions = groundingAttributions; - this.LogprobsResult = logprobsResult; this.UrlContextMetadata = urlContextMetadata; - this.Content = content; + this.Index = index; this.SafetyRatings = safetyRatings; + this.Content = content; + this.FinishReason = finishReason; this.CitationMetadata = citationMetadata; + this.LogprobsResult = logprobsResult; + this.GroundingAttributions = groundingAttributions; + this.FinishMessage = finishMessage; this.AvgLogprobs = avgLogprobs; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs index 44bb9760b..229e50dbe 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class CitationSource { + /// + /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] + public int? StartIndex { get; set; } + /// /// Optional. URI that is attributed as a source for a portion of the text. /// @@ -20,12 +26,6 @@ public sealed partial class CitationSource [global::System.Text.Json.Serialization.JsonPropertyName("license")] public string? License { get; set; } - /// - /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] - public int? StartIndex { get; set; } - /// /// Optional. End of the attributed segment, exclusive. /// @@ -41,15 +41,15 @@ public sealed partial class CitationSource /// /// Initializes a new instance of the class. /// + /// + /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. + /// /// /// Optional. URI that is attributed as a source for a portion of the text. /// /// /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. /// - /// - /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. - /// /// /// Optional. End of the attributed segment, exclusive. /// @@ -57,14 +57,14 @@ public sealed partial class CitationSource [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( + int? startIndex, string? uri, string? license, - int? startIndex, int? endIndex) { + this.StartIndex = startIndex; this.Uri = uri; this.License = license; - this.StartIndex = startIndex; this.EndIndex = endIndex; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs index ed77a91d9..c36154c68 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs @@ -14,12 +14,6 @@ public sealed partial class CodeExecutionResult [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } - /// - /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public string? Output { get; set; } - /// /// Required. Outcome of the code execution. /// @@ -27,6 +21,12 @@ public sealed partial class CodeExecutionResult [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter))] public global::Google.Gemini.CodeExecutionResultOutcome? Outcome { get; set; } + /// + /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public string? Output { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,23 +39,23 @@ public sealed partial class CodeExecutionResult /// /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. /// - /// - /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. - /// /// /// Required. Outcome of the code execution. /// + /// + /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CodeExecutionResult( string? id, - string? output, - global::Google.Gemini.CodeExecutionResultOutcome? outcome) + global::Google.Gemini.CodeExecutionResultOutcome? outcome, + string? output) { this.Id = id; - this.Output = output; this.Outcome = outcome; + this.Output = output; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs index 391e4a13c..ee3750682 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 @@ -8,12 +8,6 @@ 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. /// @@ -21,6 +15,12 @@ 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. /// - /// - /// Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. - /// /// /// Required. The environment being operated. /// + /// + /// Optional. 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ComputerUse( - global::System.Collections.Generic.IList? excludedPredefinedFunctions, - global::Google.Gemini.ComputerUseEnvironment? environment) + global::Google.Gemini.ComputerUseEnvironment? environment, + global::System.Collections.Generic.IList? excludedPredefinedFunctions) { - this.ExcludedPredefinedFunctions = excludedPredefinedFunctions; this.Environment = environment; + this.ExcludedPredefinedFunctions = excludedPredefinedFunctions; } /// 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 6c8ec1fd2..11fa487e0 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Corpus { - /// - /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { 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 @@ -22,11 +16,10 @@ public sealed partial class Corpus public string? Name { get; set; } /// - /// Output only. The Timestamp of when the `Corpus` was created.
- /// Included only in responses + /// 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" /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. The Timestamp of when the `Corpus` was last updated.
@@ -35,6 +28,13 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } + /// + /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,34 +44,34 @@ public sealed partial class Corpus /// /// Initializes a new instance of the class. /// - /// - /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// /// /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `Corpus` was created.
- /// Included only in responses + /// + /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses /// + /// + /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( - string? displayName, string? name, - string? createTime, - string? updateTime) + string? displayName, + string? updateTime, + string? createTime) { - this.DisplayName = displayName; this.Name = name; - this.CreateTime = createTime; + this.DisplayName = displayName; this.UpdateTime = updateTime; + this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs index af1b843b6..69b89560b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs @@ -9,30 +9,30 @@ namespace Google.Gemini public sealed partial class CountTokensResponse { /// - /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// Number of tokens in the cached part of the prompt (the cached content). /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] - public int? TotalTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// - /// Output only. List of modalities that were processed in the cached content.
+ /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// Number of tokens in the cached part of the prompt (the cached content). + /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] + public int? TotalTokens { 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; } /// /// Additional properties that are not explicitly defined in the schema @@ -43,13 +43,6 @@ 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. - /// - /// - /// Output only. List of modalities that were processed in the cached content.
- /// Included only in responses - /// /// /// Number of tokens in the cached part of the prompt (the cached content). /// @@ -57,19 +50,26 @@ public sealed partial class CountTokensResponse /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// + /// + /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// + /// + /// Output only. List of modalities that were processed in the cached content.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( - int? totalTokens, - global::System.Collections.Generic.IList? cacheTokensDetails, int? cachedContentTokenCount, - global::System.Collections.Generic.IList? promptTokensDetails) + global::System.Collections.Generic.IList? promptTokensDetails, + int? totalTokens, + global::System.Collections.Generic.IList? cacheTokensDetails) { - this.TotalTokens = totalTokens; - this.CacheTokensDetails = cacheTokensDetails; this.CachedContentTokenCount = cachedContentTokenCount; this.PromptTokensDetails = promptTokensDetails; + this.TotalTokens = totalTokens; + this.CacheTokensDetails = cacheTokensDetails; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs index bd33f154c..17caf89ac 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 @@ -21,10 +21,10 @@ public sealed partial class CustomLongRunningOperation public object? Response { get; set; } /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } /// /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. @@ -33,10 +33,10 @@ public sealed partial class CustomLongRunningOperation 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. + /// 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("metadata")] - public object? Metadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -53,14 +53,14 @@ public sealed partial class CustomLongRunningOperation /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// /// /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + /// The 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] @@ -68,15 +68,15 @@ public sealed partial class CustomLongRunningOperation public CustomLongRunningOperation( global::Google.Gemini.Status? error, object? response, - string? name, + object? metadata, bool? done, - object? metadata) + string? name) { this.Error = error; this.Response = response; - this.Name = name; - this.Done = done; this.Metadata = metadata; + this.Done = done; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs index 69be9a709..e3b9a1726 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class CustomMetadata { + /// + /// The string value of the metadata to store. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] + public string? StringValue { get; set; } + /// /// User provided string values assigned to a single metadata key. /// @@ -26,12 +32,6 @@ public sealed partial class CustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("key")] public string? Key { get; set; } - /// - /// The string value of the metadata to store. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] - public string? StringValue { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,6 +41,9 @@ public sealed partial class CustomMetadata /// /// Initializes a new instance of the class. /// + /// + /// The string value of the metadata to store. + /// /// /// User provided string values assigned to a single metadata key. /// @@ -50,22 +53,19 @@ public sealed partial class CustomMetadata /// /// Required. The key of the metadata to store. /// - /// - /// The string value of the metadata to store. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( + string? stringValue, global::Google.Gemini.StringList? stringListValue, float? numericValue, - string? key, - string? stringValue) + string? key) { + this.StringValue = stringValue; this.StringListValue = stringListValue; this.NumericValue = numericValue; this.Key = key; - this.StringValue = stringValue; } /// 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 ad84a9478..d4c3944de 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 @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class Document { /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// Output only. The Timestamp of when the `Document` was created.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Output only. Current state of the `Document`.
@@ -23,18 +24,10 @@ public sealed partial class Document public global::Google.Gemini.DocumentState? State { get; set; } /// - /// Output only. The Timestamp of when the `Document` was last updated.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } - - /// - /// Output only. The size of raw bytes ingested into the Document.
- /// Included only in responses + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. The mime type of the Document.
@@ -44,23 +37,30 @@ public sealed partial class Document public string? MimeType { get; set; } /// - /// Output only. The Timestamp of when the `Document` was created.
+ /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + + /// + /// Output only. The 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; } /// - /// 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" + /// 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("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// Output only. The size of raw bytes ingested into the Document.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,56 +71,56 @@ public sealed partial class Document /// /// Initializes a new instance of the class. /// - /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// + /// Output only. The Timestamp of when the `Document` was created.
+ /// Included only in responses /// /// /// Output only. Current state of the `Document`.
/// Included only in responses /// - /// - /// 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.
- /// Included only in responses + /// + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" /// /// /// Output only. The mime type of the Document.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `Document` was created.
+ /// + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// + /// + /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// - /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// + /// 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 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? name, - global::Google.Gemini.DocumentState? state, - string? updateTime, - string? sizeBytes, - string? mimeType, string? createTime, + global::Google.Gemini.DocumentState? state, string? displayName, - global::System.Collections.Generic.IList? customMetadata) + string? mimeType, + global::System.Collections.Generic.IList? customMetadata, + string? updateTime, + string? name, + string? sizeBytes) { - this.Name = name; - this.State = state; - this.UpdateTime = updateTime; - this.SizeBytes = sizeBytes; - this.MimeType = mimeType; this.CreateTime = createTime; + this.State = state; this.DisplayName = displayName; + this.MimeType = mimeType; this.CustomMetadata = customMetadata; + this.UpdateTime = updateTime; + this.Name = name; + this.SizeBytes = sizeBytes; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs index a57fba7a2..26462678a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class DynamicRetrievalConfig { + /// + /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("dynamicThreshold")] + public float? DynamicThreshold { get; set; } + /// /// The mode of the predictor to be used in dynamic retrieval. /// @@ -15,12 +21,6 @@ public sealed partial class DynamicRetrievalConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter))] public global::Google.Gemini.DynamicRetrievalConfigMode? Mode { get; set; } - /// - /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("dynamicThreshold")] - public float? DynamicThreshold { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class DynamicRetrievalConfig /// /// Initializes a new instance of the class. /// - /// - /// The mode of the predictor to be used in dynamic retrieval. - /// /// /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. /// + /// + /// The mode of the predictor to be used in dynamic retrieval. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public DynamicRetrievalConfig( - global::Google.Gemini.DynamicRetrievalConfigMode? mode, - float? dynamicThreshold) + float? dynamicThreshold, + global::Google.Gemini.DynamicRetrievalConfigMode? mode) { - this.Mode = mode; this.DynamicThreshold = dynamicThreshold; + this.Mode = mode; } /// 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 a34249643..010379d1e 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 @@ -9,76 +9,76 @@ namespace Google.Gemini public sealed partial class EmbedContentBatch { /// - /// Configures the input to the batch request. + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// - /// Output only. The time at which the batch was created.
- /// 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("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } /// - /// Stats about the batch. + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Required. The user-defined name of this batch. + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// 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 state of the batch.
+ /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] - public global::Google.Gemini.EmbedContentBatchState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Output only. The time at which the batch processing completed.
+ /// Output only. The time at which the batch was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// Output only. The state of the batch.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] + public global::Google.Gemini.EmbedContentBatchState? State { get; set; } /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,71 +89,71 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Configures the input to the batch request. - /// - /// - /// Output only. The time at which the batch was created.
+ /// + /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - /// - /// 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. /// - /// - /// Output only. The state of the batch.
- /// Included only in responses - /// - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// Configures the input to the batch request. /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses + /// + /// + /// Output only. The state of the batch.
+ /// Included only in responses + /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Stats about the batch. + /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( + string? endTime, + string? priority, + string? model, global::Google.Gemini.InputEmbedContentConfig? inputConfig, + string? updateTime, + string? name, string? createTime, - global::Google.Gemini.EmbedContentBatchStats? batchStats, - string? displayName, - string? priority, global::Google.Gemini.EmbedContentBatchState? state, - string? endTime, - global::Google.Gemini.EmbedContentBatchOutput? output, - string? updateTime, - string? model, - string? name) + string? displayName, + global::Google.Gemini.EmbedContentBatchStats? batchStats, + global::Google.Gemini.EmbedContentBatchOutput? output) { + this.EndTime = endTime; + this.Priority = priority; + this.Model = model; this.InputConfig = inputConfig; + this.UpdateTime = updateTime; + this.Name = name; this.CreateTime = createTime; - this.BatchStats = batchStats; - this.DisplayName = displayName; - this.Priority = priority; this.State = state; - this.EndTime = endTime; + this.DisplayName = displayName; + this.BatchStats = batchStats; this.Output = output; - this.UpdateTime = updateTime; - this.Model = model; - 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 4627a6103..750d5e598 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 @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class EmbedContentBatchStats { /// - /// Output only. The number of requests that were successfully processed.
+ /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } /// - /// Output only. The number of requests that failed to be processed.
+ /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] + public string? PendingRequestCount { get; set; } /// /// Output only. The number of requests in the batch.
@@ -30,11 +30,11 @@ public sealed partial class EmbedContentBatchStats public string? RequestCount { get; set; } /// - /// Output only. The number of requests that are still pending processing.
+ /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] - public string? PendingRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] + public string? SuccessfulRequestCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,35 +45,35 @@ public sealed partial class EmbedContentBatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that were successfully processed.
- /// Included only in responses - /// /// /// Output only. The number of requests that 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 in the batch.
/// Included only in responses /// - /// - /// Output only. The number of requests that are still pending processing.
+ /// + /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchStats( - string? successfulRequestCount, string? failedRequestCount, + string? pendingRequestCount, string? requestCount, - string? pendingRequestCount) + string? successfulRequestCount) { - this.SuccessfulRequestCount = successfulRequestCount; this.FailedRequestCount = failedRequestCount; - this.RequestCount = requestCount; this.PendingRequestCount = pendingRequestCount; + 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 17dfd2811..255676152 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 @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class EmbedContentConfig { /// - /// 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 enable OCR for document content. @@ -21,29 +22,28 @@ public sealed partial class EmbedContentConfig 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; } /// - /// Optional. The title for the text. + /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { 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. Whether to extract audio from video content. + /// Optional. The title for the text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] - public bool? AudioTrackExtraction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { 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 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. Whether to silently truncate the input content if it's longer than the maximum sequence length. + /// /// /// 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. The task type of the embedding. - /// - /// - /// Optional. Whether to extract audio from video content. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentConfig( - bool? autoTruncate, + global::Google.Gemini.EmbedContentConfigTaskType? taskType, bool? documentOcr, + bool? audioTrackExtraction, + bool? autoTruncate, int? outputDimensionality, - string? title, - global::Google.Gemini.EmbedContentConfigTaskType? taskType, - bool? audioTrackExtraction) + string? title) { - this.AutoTruncate = autoTruncate; + this.TaskType = taskType; this.DocumentOcr = documentOcr; + this.AudioTrackExtraction = audioTrackExtraction; + this.AutoTruncate = autoTruncate; this.OutputDimensionality = outputDimensionality; this.Title = title; - this.TaskType = taskType; - 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 08940b736..9c63d5649 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 @@ -10,6 +10,18 @@ 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; } + + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } + /// /// Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). /// @@ -18,13 +30,6 @@ public sealed partial class EmbedContentRequest [global::System.Obsolete("This property marked as deprecated.")] public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } - /// - /// Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - [global::System.Obsolete("This property marked as deprecated.")] - public string? Title { get; set; } - /// /// Optional. Deprecated: Please use EmbedContentConfig.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`). /// @@ -32,24 +37,19 @@ public sealed partial class EmbedContentRequest [global::System.Obsolete("This property marked as deprecated.")] public int? OutputDimensionality { get; set; } - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } - - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } - /// /// 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.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + [global::System.Obsolete("This property marked as deprecated.")] + public string? Title { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// 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 5c161b4e0..3be926cd7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class EmbeddingUsageMetadata { /// - /// Output only. Number of tokens in the prompt.
+ /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] - public int? PromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenDetails")] + public global::System.Collections.Generic.IList? PromptTokenDetails { get; set; } /// - /// Output only. List of modalities that were processed in the request input.
+ /// Output only. Number of tokens in the prompt.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenDetails")] - public global::System.Collections.Generic.IList? PromptTokenDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class EmbeddingUsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Output only. Number of tokens in the prompt.
- /// Included only in responses - /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// + /// + /// Output only. Number of tokens in the prompt.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbeddingUsageMetadata( - int? promptTokenCount, - global::System.Collections.Generic.IList? promptTokenDetails) + global::System.Collections.Generic.IList? promptTokenDetails, + int? promptTokenCount) { - this.PromptTokenCount = promptTokenCount; this.PromptTokenDetails = promptTokenDetails; + this.PromptTokenCount = promptTokenCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs index 1de5992ff..f9f4e11ff 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ExecutableCode { + /// + /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Required. Programming language of the `code`. /// @@ -21,12 +27,6 @@ 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; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ExecutableCode /// /// Initializes a new instance of the class. /// + /// + /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. + /// /// /// Required. Programming language of the `code`. /// /// /// Required. The code to be executed. /// - /// - /// 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? id, global::Google.Gemini.ExecutableCodeLanguage? language, - string? code, - string? id) + string? code) { + this.Id = id; this.Language = language; this.Code = code; - 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 c170eda4f..98b1088d7 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 @@ -9,44 +9,37 @@ namespace Google.Gemini public sealed partial class 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`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } /// - /// Output only. The download uri of the `File`.
+ /// Output only. The uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] - public string? DownloadUri { get; set; } - - /// - /// Metadata for a video `File`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Source of the File. + /// 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("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("error")] + public global::Google.Gemini.Status? Error { get; set; } /// - /// Output only. Size of the file in bytes.
+ /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// - /// Output only. The timestamp of when the `File` was created.
+ /// Output only. The download uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { get; set; } /// /// 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" @@ -55,10 +48,11 @@ public sealed partial class File public string? DisplayName { 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). + /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { 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.
@@ -68,25 +62,18 @@ public sealed partial class File public string? UpdateTime { get; set; } /// - /// Output only. MIME type of the file.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - - /// - /// Output only. The uri of the `File`.
+ /// Output only. Size of the file in bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Output only. Processing state of the File.
@@ -97,11 +84,24 @@ public sealed partial class File public global::Google.Gemini.FileState? State { get; set; } /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Output only. MIME type of the file.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] - public byte[]? Sha256Hash { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + + /// + /// 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; } + + /// + /// 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 @@ -112,90 +112,90 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// - /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` - /// - /// - /// Output only. The download uri of the `File`.
- /// Included only in responses - /// /// /// Metadata for a video `File`. /// - /// - /// Source of the File. + /// + /// Output only. The uri of the `File`.
+ /// Included only in responses /// - /// - /// Output only. Size of the file in bytes.
+ /// + /// 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 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 created.
+ /// + /// Output only. The download uri of the `File`.
/// Included only in responses /// /// /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Included only in responses /// /// /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// - /// - /// Output only. MIME type of the file.
- /// Included only in responses - /// - /// - /// Output only. The uri of the `File`.
+ /// + /// Output only. Size of the file in bytes.
/// 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. The timestamp of when the `File` was created.
/// Included only in responses /// /// /// Output only. Processing state of the File.
/// Included only in responses /// - /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// + /// Output only. MIME type of the file.
/// Included only in responses /// + /// + /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// + /// + /// Source of the File. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - string? name, - string? downloadUri, global::Google.Gemini.VideoFileMetadata? videoMetadata, - global::Google.Gemini.FileSource? source, - string? sizeBytes, - string? createTime, - string? displayName, - global::Google.Gemini.Status? error, - string? updateTime, - string? mimeType, string? uri, + global::Google.Gemini.Status? error, string? expirationTime, + string? downloadUri, + string? displayName, + byte[]? sha256Hash, + string? updateTime, + string? sizeBytes, + string? createTime, global::Google.Gemini.FileState? state, - byte[]? sha256Hash) + string? mimeType, + string? name, + global::Google.Gemini.FileSource? source) { - this.Name = name; - this.DownloadUri = downloadUri; this.VideoMetadata = videoMetadata; - this.Source = source; - this.SizeBytes = sizeBytes; - this.CreateTime = createTime; - this.DisplayName = displayName; - this.Error = error; - this.UpdateTime = updateTime; - this.MimeType = mimeType; this.Uri = uri; + this.Error = error; this.ExpirationTime = expirationTime; - this.State = state; + this.DownloadUri = downloadUri; + this.DisplayName = displayName; this.Sha256Hash = sha256Hash; + this.UpdateTime = updateTime; + this.SizeBytes = sizeBytes; + this.CreateTime = createTime; + this.State = state; + this.MimeType = mimeType; + this.Name = name; + this.Source = source; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs index 6b607719a..0f185b2c7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FileData { - /// - /// Required. URI. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileUri")] - public string? FileUri { get; set; } - /// /// Optional. The IANA standard MIME type of the source data. /// [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Required. URI. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileUri")] + public string? FileUri { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class FileData /// /// Initializes a new instance of the class. /// - /// - /// Required. URI. - /// /// /// Optional. The IANA standard MIME type of the source data. /// + /// + /// Required. URI. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileData( - string? fileUri, - string? mimeType) + string? mimeType, + string? fileUri) { - this.FileUri = fileUri; this.MimeType = mimeType; + this.FileUri = fileUri; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs index c1f5a4046..941bbd059 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 @@ -8,18 +8,18 @@ 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; } - /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStoreNames")] public global::System.Collections.Generic.IList? FileSearchStoreNames { get; set; } + /// + /// Optional. The number of semantic retrieval chunks to retrieve. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } + /// /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// @@ -35,12 +35,12 @@ public sealed partial class FileSearch /// /// Initializes a new instance of the class. /// - /// - /// Optional. The number of semantic retrieval chunks to retrieve. - /// /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// + /// + /// Optional. The number of semantic retrieval chunks to retrieve. + /// /// /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// @@ -48,12 +48,12 @@ public sealed partial class FileSearch [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( - int? topK, global::System.Collections.Generic.IList? fileSearchStoreNames, + int? topK, string? metadataFilter) { - this.TopK = topK; this.FileSearchStoreNames = fileSearchStoreNames; + this.TopK = topK; this.MetadataFilter = metadataFilter; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs index fa21ed56c..84d99438b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs @@ -9,17 +9,24 @@ namespace Google.Gemini public sealed partial class FileSearchStore { /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { 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" + /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
@@ -29,18 +36,18 @@ public sealed partial class FileSearchStore public string? Name { get; set; } /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// 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("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] - public string? ActiveDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Output only. The number of documents in the `FileSearchStore` that are being processed.
@@ -50,18 +57,11 @@ public sealed partial class FileSearchStore public string? PendingDocumentsCount { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] - public string? FailedDocumentsCount { get; set; } - - /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// 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; } /// /// Additional properties that are not explicitly defined in the schema @@ -72,58 +72,58 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + /// + /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// Included only in responses + /// /// /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// /// /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// + /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// + /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// /// /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
- /// 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 /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? createTime, string? displayName, + string? failedDocumentsCount, + string? createTime, string? name, + string? sizeBytes, string? updateTime, - string? activeDocumentsCount, string? pendingDocumentsCount, - string? failedDocumentsCount, - string? sizeBytes) + string? activeDocumentsCount) { - this.CreateTime = createTime; this.DisplayName = displayName; + this.FailedDocumentsCount = failedDocumentsCount; + this.CreateTime = createTime; this.Name = name; + this.SizeBytes = sizeBytes; this.UpdateTime = updateTime; - this.ActiveDocumentsCount = activeDocumentsCount; this.PendingDocumentsCount = pendingDocumentsCount; - this.FailedDocumentsCount = failedDocumentsCount; - this.SizeBytes = sizeBytes; + this.ActiveDocumentsCount = activeDocumentsCount; } /// 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 fe831c63d..5a7646f02 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class FunctionDeclaration { /// - /// 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; } /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.Schema? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] + public global::Google.Gemini.Schema? Parameters { get; set; } /// /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. @@ -27,10 +27,10 @@ public sealed partial class FunctionDeclaration 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). + /// 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("parameters")] - public global::Google.Gemini.Schema? Parameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. @@ -40,16 +40,16 @@ public sealed partial class FunctionDeclaration public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { get; set; } /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// 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("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] + public object? ParametersJsonSchema { get; set; } /// - /// Required. A brief description of the function. + /// 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("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.Schema? Response { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -60,46 +60,46 @@ public sealed partial class FunctionDeclaration /// /// Initializes a new instance of the class. /// - /// - /// Optional. 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. /// - /// + /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// /// /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. /// /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// - /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. /// - /// - /// Required. A brief description of the function. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( - object? parametersJsonSchema, - global::Google.Gemini.Schema? response, - object? responseJsonSchema, + string? description, global::Google.Gemini.Schema? parameters, - global::Google.Gemini.FunctionDeclarationBehavior? behavior, + object? responseJsonSchema, string? name, - string? description) + global::Google.Gemini.FunctionDeclarationBehavior? behavior, + object? parametersJsonSchema, + global::Google.Gemini.Schema? response) { - this.ParametersJsonSchema = parametersJsonSchema; - this.Response = response; - this.ResponseJsonSchema = responseJsonSchema; + this.Description = description; this.Parameters = parameters; - this.Behavior = behavior; + this.ResponseJsonSchema = responseJsonSchema; this.Name = name; - this.Description = description; + this.Behavior = behavior; + this.ParametersJsonSchema = parametersJsonSchema; + this.Response = response; } /// 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 af77644d1..e56358f46 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FunctionResponse { - /// - /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] - public bool? WillContinue { get; set; } - /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// @@ -27,10 +21,11 @@ public sealed partial class FunctionResponse public string? Name { get; set; } /// - /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. + /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("scheduling")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] + public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } /// /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. @@ -39,11 +34,16 @@ public sealed partial class FunctionResponse public global::System.Collections.Generic.IList? Parts { get; set; } /// - /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. + /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("scheduling")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] - public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] + public bool? WillContinue { 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. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. - /// /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// - /// - /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. + /// + /// 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. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - /// - /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. + /// + /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. + /// + /// + /// Required. The 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( - bool? willContinue, string? id, string? name, - object? response, + global::Google.Gemini.FunctionResponseScheduling? scheduling, global::System.Collections.Generic.IList? parts, - global::Google.Gemini.FunctionResponseScheduling? scheduling) + bool? willContinue, + object? response) { - this.WillContinue = willContinue; this.Id = id; this.Name = name; - this.Response = response; - this.Parts = parts; this.Scheduling = scheduling; + this.Parts = parts; + this.WillContinue = willContinue; + 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 68b61c647..d727aa3ec 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 { - /// - /// 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; } + /// + /// 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; } + /// /// 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. /// - /// - /// 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. /// + /// + /// 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). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponseBlob( - string? mimeType, - byte[]? data) + byte[]? data, + string? mimeType) { - this.MimeType = mimeType; this.Data = data; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs index af89fe441..7372f85a6 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 @@ -9,19 +9,16 @@ namespace Google.Gemini public sealed partial class GenerateContentBatch { /// - /// Output only. The state of the batch.
- /// Included only in responses + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] - public global::Google.Gemini.GenerateContentBatchState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// Configures the input to the batch request. @@ -29,6 +26,13 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] public global::Google.Gemini.InputConfig? InputConfig { get; set; } + /// + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses + /// + [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 @@ -37,10 +41,12 @@ public sealed partial class GenerateContentBatch public string? CreateTime { get; set; } /// - /// Stats about the batch. + /// Output only. The state of the batch.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.BatchStats? BatchStats { 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; } /// /// Required. The user-defined name of this batch. @@ -49,10 +55,16 @@ public sealed partial class GenerateContentBatch 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. + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.BatchStats? BatchStats { 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; } /// /// Output only. The time at which the batch was last updated.
@@ -61,12 +73,6 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } - /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses @@ -74,12 +80,6 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { 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 /// @@ -89,71 +89,71 @@ public sealed partial class GenerateContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Output only. The state of the batch.
- /// Included only in responses + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Configures the input to the batch request. /// + /// + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses + /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// Stats about the batch. + /// + /// Output only. The state of the batch.
+ /// Included only in responses /// /// /// 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. + /// + /// Stats about the batch. + /// + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - /// - /// 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( - global::Google.Gemini.GenerateContentBatchState? state, - string? endTime, + string? priority, + string? model, global::Google.Gemini.InputConfig? inputConfig, + string? endTime, string? createTime, - global::Google.Gemini.BatchStats? batchStats, + global::Google.Gemini.GenerateContentBatchState? state, string? displayName, - string? priority, + global::Google.Gemini.BatchStats? batchStats, + global::Google.Gemini.GenerateContentBatchOutput? output, string? updateTime, - string? model, - string? name, - global::Google.Gemini.GenerateContentBatchOutput? output) + string? name) { - this.State = state; - this.EndTime = endTime; + this.Priority = priority; + this.Model = model; this.InputConfig = inputConfig; + this.EndTime = endTime; this.CreateTime = createTime; - this.BatchStats = batchStats; + this.State = state; this.DisplayName = displayName; - this.Priority = priority; + this.BatchStats = batchStats; + this.Output = output; this.UpdateTime = updateTime; - this.Model = model; this.Name = name; - 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 0060fdf1a..0370890bf 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs @@ -9,10 +9,16 @@ namespace Google.Gemini public sealed partial class GenerateContentRequest { /// - /// Required. The name of the `Model` to use for generating the completion. 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } + + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] + public string? CachedContent { 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. @@ -21,28 +27,29 @@ public sealed partial class GenerateContentRequest public global::System.Collections.Generic.IList? SafetySettings { get; set; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// Optional. The service tier of the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [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; } /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("store")] - public bool? Store { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { 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. + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -51,23 +58,16 @@ public sealed partial class GenerateContentRequest public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } /// - /// Optional. The service tier of the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] - public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } - - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// Optional. 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("cachedContent")] - public string? CachedContent { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("store")] + public bool? Store { 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. 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. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The service tier of the request. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( - string? model, - global::System.Collections.Generic.IList? safetySettings, - global::Google.Gemini.ToolConfig? toolConfig, - bool? store, - global::System.Collections.Generic.IList? tools, global::Google.Gemini.Content? systemInstruction, - global::Google.Gemini.GenerationConfig? generationConfig, + string? cachedContent, + global::System.Collections.Generic.IList? safetySettings, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, + string? model, + global::Google.Gemini.ToolConfig? toolConfig, global::System.Collections.Generic.IList? contents, - string? cachedContent) + global::Google.Gemini.GenerationConfig? generationConfig, + global::System.Collections.Generic.IList? tools, + bool? store) { - this.Model = model; - this.SafetySettings = safetySettings; - this.ToolConfig = toolConfig; - this.Store = store; - this.Tools = tools; this.SystemInstruction = systemInstruction; - this.GenerationConfig = generationConfig; + this.CachedContent = cachedContent; + this.SafetySettings = safetySettings; this.ServiceTier = serviceTier; + this.Model = model; + this.ToolConfig = toolConfig; this.Contents = contents; - this.CachedContent = cachedContent; + this.GenerationConfig = generationConfig; + this.Tools = tools; + this.Store = store; } /// 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 07bcbf044..28815dbfe 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 @@ -9,22 +9,17 @@ namespace Google.Gemini public sealed partial class GenerateContentResponse { /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] - public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } - - /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// Candidate responses from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] - public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] + public global::System.Collections.Generic.IList? Candidates { get; set; } /// - /// Metadata on the generation request's token usage. + /// Output only. response_id is used to identify each response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] + public string? ResponseId { get; set; } /// /// Output only. The model version used to generate the response.
@@ -34,17 +29,22 @@ public sealed partial class GenerateContentResponse public string? ModelVersion { get; set; } /// - /// Candidate responses from the model. + /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] - public global::System.Collections.Generic.IList? Candidates { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] + public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } /// - /// Output only. response_id is used to identify each response.
- /// Included only in responses + /// Metadata on the generation request's token usage. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] - public string? ResponseId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } + + /// + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] + public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -55,43 +55,43 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// - /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. - /// - /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// + /// Candidate responses from the model. /// - /// - /// Metadata on the generation request's token usage. + /// + /// Output only. response_id is used to identify each response.
+ /// Included only in responses /// /// /// Output only. The model version used to generate the response.
/// Included only in responses /// - /// - /// Candidate responses from the model. + /// + /// 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 + /// + /// Metadata on the generation request's token usage. + /// + /// + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( + global::System.Collections.Generic.IList? candidates, + string? responseId, + string? modelVersion, global::Google.Gemini.PromptFeedback? promptFeedback, - global::Google.Gemini.ModelStatus? modelStatus, global::Google.Gemini.UsageMetadata? usageMetadata, - string? modelVersion, - global::System.Collections.Generic.IList? candidates, - string? responseId) + global::Google.Gemini.ModelStatus? modelStatus) { - this.PromptFeedback = promptFeedback; - this.ModelStatus = modelStatus; - this.UsageMetadata = usageMetadata; - this.ModelVersion = modelVersion; this.Candidates = candidates; this.ResponseId = responseId; + this.ModelVersion = modelVersion; + this.PromptFeedback = promptFeedback; + this.UsageMetadata = usageMetadata; + this.ModelStatus = modelStatus; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs index f29e7f9cc..91d9bac5c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs @@ -8,18 +8,20 @@ namespace Google.Gemini /// public sealed partial class GeneratedFile { - /// - /// MIME type of the generatedFile. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } + /// + /// Output only. The state of the GeneratedFile.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter))] + public global::Google.Gemini.GeneratedFileState? State { get; set; } + /// /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` /// @@ -27,12 +29,10 @@ public sealed partial class GeneratedFile public string? Name { get; set; } /// - /// Output only. The state of the GeneratedFile.
- /// Included only in responses + /// MIME type of the generatedFile. /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter))] - public global::Google.Gemini.GeneratedFileState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -43,32 +43,32 @@ public sealed partial class GeneratedFile /// /// Initializes a new instance of the class. /// - /// - /// MIME type of the generatedFile. - /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - /// - /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` - /// /// /// Output only. The state of the GeneratedFile.
/// Included only in responses /// + /// + /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` + /// + /// + /// MIME type of the generatedFile. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GeneratedFile( - string? mimeType, global::Google.Gemini.Status? error, + global::Google.Gemini.GeneratedFileState? state, string? name, - global::Google.Gemini.GeneratedFileState? state) + string? mimeType) { - this.MimeType = mimeType; this.Error = error; - this.Name = name; this.State = state; + this.Name = name; + this.MimeType = mimeType; } /// 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 3e09c235b..b3a43c5b0 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 @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class GenerationConfig { /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] + public bool? EnableEnhancedCivicAnswers { get; set; } /// - /// Config for speech generation and transcription. + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// - [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] + public int? MaxOutputTokens { get; set; } /// /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. @@ -27,107 +27,107 @@ public sealed partial class GenerationConfig public string? ResponseMimeType { get; set; } /// - /// Optional. If true, export the logprobs results in response. + /// Optional. If specified, the media resolution specified will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] - public bool? ResponseLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mediaResolution")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] + public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } /// - /// Optional. 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; } /// - /// Config for thinking features. + /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] - public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// Optional. 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("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } /// - /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// Optional. The 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("stopSequences")] - public global::System.Collections.Generic.IList? StopSequences { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { 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. + /// Config for speech generation and transcription. /// - [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] - public float? FrequencyPenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// 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("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] + public float? FrequencyPenalty { get; set; } /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] - public bool? EnableEnhancedCivicAnswers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { 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. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { get; set; } /// - /// Optional. If specified, the media resolution specified will be used. + /// Config for image generation features. /// - [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("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// Optional. If true, export the logprobs results in response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] + public bool? ResponseLogprobs { get; set; } /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// Optional. 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("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] + public float? PresencePenalty { get; set; } /// - /// Config for image generation features. + /// 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("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] + public int? CandidateCount { get; set; } /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Optional. 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("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] + public global::System.Collections.Generic.IList? StopSequences { 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]. + /// Config for thinking features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] + public global::Google.Gemini.ThinkingConfig? ThinkingConfig { 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 requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] - public float? PresencePenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { 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. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - /// - /// Config for speech generation and transcription. + /// + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// /// /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// - /// - /// Optional. If true, export the logprobs results in response. - /// - /// - /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) - /// - /// - /// Config for thinking features. - /// - /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. - /// - /// - /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// + /// Optional. If specified, the media resolution specified will be used. /// /// /// 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. 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. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// + /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. /// - /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// /// /// Optional. The maximum 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. If specified, the media resolution specified will be used. + /// + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// + /// Config for speech generation and transcription. + /// + /// + /// 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. An internal detail. Use `responseJsonSchema` rather than this field. /// - /// - /// 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. /// /// /// Config for image generation features. /// - /// - /// 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. If true, export the logprobs results in response. /// /// /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. /// + /// + /// 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 thinking features. + /// + /// + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - float? temperature, - global::Google.Gemini.SpeechConfig? speechConfig, - string? responseMimeType, - bool? responseLogprobs, - int? candidateCount, - global::Google.Gemini.ThinkingConfig? thinkingConfig, + bool? enableEnhancedCivicAnswers, int? maxOutputTokens, - global::System.Collections.Generic.IList? stopSequences, + string? responseMimeType, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, global::Google.Gemini.Schema? responseSchema, - float? frequencyPenalty, - int? seed, - bool? enableEnhancedCivicAnswers, + float? temperature, + int? logprobs, float? topP, - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, + int? topK, + global::Google.Gemini.SpeechConfig? speechConfig, + float? frequencyPenalty, object? responseJsonSchema, - global::System.Collections.Generic.IList? responseModalities, + int? seed, global::Google.Gemini.ImageConfig? imageConfig, - int? topK, - int? logprobs, - float? presencePenalty) + bool? responseLogprobs, + float? presencePenalty, + int? candidateCount, + global::System.Collections.Generic.IList? stopSequences, + global::Google.Gemini.ThinkingConfig? thinkingConfig, + global::System.Collections.Generic.IList? responseModalities) { - this.Temperature = temperature; - this.SpeechConfig = speechConfig; - this.ResponseMimeType = responseMimeType; - this.ResponseLogprobs = responseLogprobs; - this.CandidateCount = candidateCount; - this.ThinkingConfig = thinkingConfig; + this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; this.MaxOutputTokens = maxOutputTokens; - this.StopSequences = stopSequences; + this.ResponseMimeType = responseMimeType; + this.MediaResolution = mediaResolution; this.ResponseSchema = responseSchema; - this.FrequencyPenalty = frequencyPenalty; - this.Seed = seed; - this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; + this.Temperature = temperature; + this.Logprobs = logprobs; this.TopP = topP; - this.MediaResolution = mediaResolution; + this.TopK = topK; + this.SpeechConfig = speechConfig; + this.FrequencyPenalty = frequencyPenalty; this.ResponseJsonSchema = responseJsonSchema; - this.ResponseModalities = responseModalities; + this.Seed = seed; this.ImageConfig = imageConfig; - this.TopK = topK; - this.Logprobs = logprobs; + this.ResponseLogprobs = responseLogprobs; this.PresencePenalty = presencePenalty; + this.CandidateCount = candidateCount; + this.StopSequences = stopSequences; + this.ThinkingConfig = thinkingConfig; + this.ResponseModalities = responseModalities; } /// 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 efe6a782a..847818deb 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport { - /// - /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). - /// - [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.
/// Included only in responses @@ -21,6 +15,12 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] public global::System.Collections.Generic.IList? RenderedParts { get; set; } + /// + /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] + public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } + /// /// Segment of the content. /// @@ -28,10 +28,10 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport 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. + /// 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("confidenceScores")] - public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } + [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. /// - /// - /// 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. 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. 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. + /// + /// 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? groundingChunkIndices, global::System.Collections.Generic.IList? renderedParts, + global::System.Collections.Generic.IList? confidenceScores, global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, - global::System.Collections.Generic.IList? confidenceScores) + global::System.Collections.Generic.IList? groundingChunkIndices) { - this.GroundingChunkIndices = groundingChunkIndices; this.RenderedParts = renderedParts; - this.Segment = segment; this.ConfidenceScores = confidenceScores; + this.Segment = segment; + this.GroundingChunkIndices = groundingChunkIndices; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs index 2ad0d91c8..1983af1b9 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 @@ -8,6 +8,12 @@ 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; } + /// /// The text corresponding to the segment from the response. /// @@ -26,12 +32,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] public int? EndIndex { get; set; } - /// - /// The index of a Part object within its parent Content object. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] - public int? PartIndex { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,6 +41,9 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// Initializes a new instance of the class. /// + /// + /// The index of a Part object within its parent Content object. + /// /// /// The text corresponding to the segment from the response. /// @@ -50,22 +53,19 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// - /// - /// The index of a Part object within its parent Content object. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( + int? partIndex, string? text, int? startIndex, - int? endIndex, - int? partIndex) + int? endIndex) { + this.PartIndex = partIndex; this.Text = text; this.StartIndex = startIndex; this.EndIndex = endIndex; - this.PartIndex = partIndex; } /// 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 ca73d308e..0cb13ee1c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GroundingChunk { + /// + /// Chunk from image search. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("image")] + public global::Google.Gemini.Image? Image { get; set; } + /// /// Chunk from the web. /// @@ -26,12 +32,6 @@ public sealed partial class GroundingChunk [global::System.Text.Json.Serialization.JsonPropertyName("maps")] public global::Google.Gemini.Maps? Maps { get; set; } - /// - /// Chunk from image search. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("image")] - public global::Google.Gemini.Image? Image { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,6 +41,9 @@ public sealed partial class GroundingChunk /// /// Initializes a new instance of the class. /// + /// + /// Chunk from image search. + /// /// /// Chunk from the web. /// @@ -50,22 +53,19 @@ public sealed partial class GroundingChunk /// /// 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.Image? image, global::Google.Gemini.Web? web, global::Google.Gemini.RetrievedContext? retrievedContext, - global::Google.Gemini.Maps? maps, - global::Google.Gemini.Image? image) + global::Google.Gemini.Maps? maps) { + this.Image = image; this.Web = web; this.RetrievedContext = retrievedContext; this.Maps = maps; - this.Image = image; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs index cc267c58b..c0b6fa671 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class GroundingChunkCustomMetadata { - /// - /// Optional. The string value of the metadata. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] - public string? StringValue { get; set; } - - /// - /// A list of string values. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.GroundingChunkStringList? StringListValue { get; set; } - /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// @@ -32,6 +20,18 @@ 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] + public global::Google.Gemini.GroundingChunkStringList? StringListValue { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// Optional. The string value of the metadata. - /// - /// - /// A list of string values. - /// /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// /// /// The key of the metadata. /// + /// + /// Optional. The string value of the metadata. + /// + /// + /// A list of string values. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( - string? stringValue, - global::Google.Gemini.GroundingChunkStringList? stringListValue, float? numericValue, - string? key) + string? key, + string? stringValue, + global::Google.Gemini.GroundingChunkStringList? stringListValue) { - this.StringValue = stringValue; - this.StringListValue = stringListValue; this.NumericValue = numericValue; this.Key = key; + this.StringValue = stringValue; + this.StringListValue = stringListValue; } /// 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 4b2a2a47a..1ceeaafc4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class GroundingMetadata { /// - /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] - public string? GoogleMapsWidgetContextToken { get; set; } - - /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// Image search queries used for grounding. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] - public global::System.Collections.Generic.IList? GroundingChunks { 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. @@ -32,12 +26,6 @@ public sealed partial class GroundingMetadata [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } - /// - /// Image search queries used for grounding. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] - public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } - /// /// Metadata related to retrieval in the grounding flow. /// @@ -50,6 +38,18 @@ public sealed partial class GroundingMetadata [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] public global::System.Collections.Generic.IList? GroundingSupports { get; set; } + /// + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] + public global::System.Collections.Generic.IList? GroundingChunks { get; set; } + + /// + /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] + public string? GoogleMapsWidgetContextToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -59,11 +59,8 @@ public sealed partial class GroundingMetadata /// /// Initializes a new instance of the class. /// - /// - /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. - /// - /// - /// List of 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. /// /// /// Web search queries for the following-up web search. @@ -71,34 +68,37 @@ public sealed partial class GroundingMetadata /// /// Google search entry point. /// - /// - /// Image search queries used for grounding. - /// /// /// Metadata related to retrieval in the grounding flow. /// /// /// List of grounding support. /// + /// + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// + /// + /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - string? googleMapsWidgetContextToken, - global::System.Collections.Generic.IList? groundingChunks, + global::System.Collections.Generic.IList? imageSearchQueries, global::System.Collections.Generic.IList? webSearchQueries, global::Google.Gemini.SearchEntryPoint? searchEntryPoint, - global::System.Collections.Generic.IList? imageSearchQueries, global::Google.Gemini.RetrievalMetadata? retrievalMetadata, - global::System.Collections.Generic.IList? groundingSupports) + global::System.Collections.Generic.IList? groundingSupports, + global::System.Collections.Generic.IList? groundingChunks, + string? googleMapsWidgetContextToken) { - this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; - this.GroundingChunks = groundingChunks; + this.ImageSearchQueries = imageSearchQueries; this.WebSearchQueries = webSearchQueries; this.SearchEntryPoint = searchEntryPoint; - this.ImageSearchQueries = imageSearchQueries; this.RetrievalMetadata = retrievalMetadata; this.GroundingSupports = groundingSupports; + this.GroundingChunks = groundingChunks; + this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs index 9264e6ba5..9bc3820b2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs @@ -14,6 +14,12 @@ public sealed partial class Hyperparameters [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] public float? LearningRate { get; set; } + /// + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] + public float? LearningRateMultiplier { get; set; } + /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. /// @@ -26,12 +32,6 @@ public sealed partial class Hyperparameters [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] public int? BatchSize { get; set; } - /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] - public float? LearningRateMultiplier { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,28 +44,28 @@ public sealed partial class Hyperparameters /// /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// + /// + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. /// /// /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// - /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( float? learningRate, + float? learningRateMultiplier, int? epochCount, - int? batchSize, - float? learningRateMultiplier) + int? batchSize) { this.LearningRate = learningRate; + this.LearningRateMultiplier = learningRateMultiplier; this.EpochCount = epochCount; this.BatchSize = batchSize; - this.LearningRateMultiplier = learningRateMultiplier; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs index c483dabf9..3f6d85dec 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 web page URI for attribution. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] + public string? SourceUri { get; set; } + /// /// The image asset URL. /// @@ -20,12 +26,6 @@ public sealed partial class Image [global::System.Text.Json.Serialization.JsonPropertyName("domain")] public string? Domain { get; set; } - /// - /// The web page URI for attribution. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] - public string? SourceUri { get; set; } - /// /// The title of the web page that the image is from. /// @@ -41,15 +41,15 @@ public sealed partial class Image /// /// Initializes a new instance of the class. /// + /// + /// The web page URI for attribution. + /// /// /// The image asset URL. /// /// /// The root domain of the web page that the image is from, e.g. "example.com". /// - /// - /// The web page URI for attribution. - /// /// /// The title of the web page that the image is from. /// @@ -57,14 +57,14 @@ public sealed partial class Image [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( + string? sourceUri, string? imageUri, string? domain, - string? sourceUri, string? title) { + this.SourceUri = sourceUri; this.ImageUri = imageUri; this.Domain = domain; - this.SourceUri = sourceUri; this.Title = title; } 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 c70f6aa29..a3b4bba3f 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.InlinedRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs index 3815f3fd4..9a6afbda5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedRequest { - /// - /// Request to generate a completion from the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("request")] - public global::Google.Gemini.GenerateContentRequest? Request { get; set; } - /// /// Optional. The metadata to be associated with the request. /// [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// Request to generate a completion from the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("request")] + public global::Google.Gemini.GenerateContentRequest? Request { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedRequest /// /// Initializes a new instance of the class. /// - /// - /// Request to generate a completion from the model. - /// /// /// Optional. The metadata to be associated with the request. /// + /// + /// Request to generate a completion from the model. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedRequest( - global::Google.Gemini.GenerateContentRequest? request, - object? metadata) + object? metadata, + global::Google.Gemini.GenerateContentRequest? request) { - this.Request = request; this.Metadata = metadata; + this.Request = request; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs index c37f2158f..01a06fc30 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InputConfig { - /// - /// The requests to be processed in the batch if provided as part of the batch creation request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("requests")] - public global::Google.Gemini.InlinedRequests? Requests { get; set; } - /// /// The name of the `File` containing the input requests. /// [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] public string? FileName { get; set; } + /// + /// The requests to be processed in the batch if provided as part of the batch creation request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("requests")] + public global::Google.Gemini.InlinedRequests? Requests { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InputConfig /// /// Initializes a new instance of the class. /// - /// - /// The requests to be processed in the batch if provided as part of the batch creation request. - /// /// /// The name of the `File` containing the input requests. /// + /// + /// The requests to be processed in the batch if provided as part of the batch creation request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InputConfig( - global::Google.Gemini.InlinedRequests? requests, - string? fileName) + string? fileName, + global::Google.Gemini.InlinedRequests? requests) { - this.Requests = requests; this.FileName = fileName; + this.Requests = requests; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs index 6b112b840..d8960e0af 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.ListGeneratedFilesResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs index 3ac3fc7f6..761cfc987 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListGeneratedFilesResponse { - /// - /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The list of `GeneratedFile`s. /// [global::System.Text.Json.Serialization.JsonPropertyName("generatedFiles")] public global::System.Collections.Generic.IList? GeneratedFiles { get; set; } + /// + /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListGeneratedFilesResponse /// /// Initializes a new instance of the class. /// - /// - /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. - /// /// /// The list of `GeneratedFile`s. /// + /// + /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListGeneratedFilesResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? generatedFiles) + global::System.Collections.Generic.IList? generatedFiles, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.GeneratedFiles = generatedFiles; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs index ad5ab25bc..35553f7f9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ListOperationsResponse { + /// + /// A list of operations that matches the specified filter in the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("operations")] + public global::System.Collections.Generic.IList? Operations { get; set; } + /// /// The standard List next-page token. /// @@ -20,12 +26,6 @@ public sealed partial class ListOperationsResponse [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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("operations")] - public global::System.Collections.Generic.IList? Operations { 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. /// + /// + /// 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. /// - /// - /// A list of operations that matches the specified filter in the request. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( + global::System.Collections.Generic.IList? operations, string? nextPageToken, - global::System.Collections.Generic.IList? unreachable, - global::System.Collections.Generic.IList? operations) + global::System.Collections.Generic.IList? unreachable) { + this.Operations = operations; this.NextPageToken = nextPageToken; this.Unreachable = unreachable; - this.Operations = operations; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs index 296ff44e1..1429aa96a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class LogprobsResult { + /// + /// Length = total number of decoding steps. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topCandidates")] + public global::System.Collections.Generic.IList? TopCandidates { get; set; } + /// /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. /// @@ -20,12 +26,6 @@ public sealed partial class LogprobsResult [global::System.Text.Json.Serialization.JsonPropertyName("logProbabilitySum")] public float? LogProbabilitySum { get; set; } - /// - /// Length = total number of decoding steps. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topCandidates")] - public global::System.Collections.Generic.IList? TopCandidates { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class LogprobsResult /// /// Initializes a new instance of the class. /// + /// + /// Length = total number of decoding steps. + /// /// /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. /// /// /// Sum of log probabilities for all tokens. /// - /// - /// Length = total number of decoding steps. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResult( + global::System.Collections.Generic.IList? topCandidates, global::System.Collections.Generic.IList? chosenCandidates, - float? logProbabilitySum, - global::System.Collections.Generic.IList? topCandidates) + float? logProbabilitySum) { + this.TopCandidates = topCandidates; this.ChosenCandidates = chosenCandidates; this.LogProbabilitySum = logProbabilitySum; - this.TopCandidates = topCandidates; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index 1c4558c4e..5c9ddd1b0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs @@ -14,18 +14,18 @@ public sealed partial class LogprobsResultCandidate [global::System.Text.Json.Serialization.JsonPropertyName("token")] public string? Token { get; set; } - /// - /// The candidate’s token id value. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] - public int? TokenId { get; set; } - /// /// The candidate's log probability. /// [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] public float? LogProbability { get; set; } + /// + /// The candidate’s token id value. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] + public int? TokenId { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class LogprobsResultCandidate /// /// The candidate’s token string value. /// - /// - /// The candidate’s token id value. - /// /// /// The candidate's log probability. /// + /// + /// The candidate’s token id value. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( string? token, - int? tokenId, - float? logProbability) + float? logProbability, + int? tokenId) { this.Token = token; - this.TokenId = tokenId; this.LogProbability = logProbability; + this.TokenId = tokenId; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs index e2533cd03..71a9198b6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class Maps { /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// Title of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] - public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. + /// URI reference of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] - public string? PlaceId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// /// Text description of the place answer. @@ -27,16 +27,16 @@ public sealed partial class Maps public string? Text { get; set; } /// - /// URI reference of the place. + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] + public string? PlaceId { get; set; } /// - /// Title of the place. + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] + public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class Maps /// /// Initializes a new instance of the class. /// - /// - /// 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. + /// + /// Title of the place. /// - /// - /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. + /// + /// URI reference of the place. /// /// /// Text description of the place answer. /// - /// - /// URI reference of the place. + /// + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - /// - /// Title of the place. + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( - global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, - string? placeId, - string? text, + string? title, string? uri, - string? title) + string? text, + string? placeId, + global::Google.Gemini.PlaceAnswerSources? placeAnswerSources) { - this.PlaceAnswerSources = placeAnswerSources; - this.PlaceId = placeId; - this.Text = text; - this.Uri = uri; this.Title = title; + this.Uri = uri; + this.Text = text; + this.PlaceId = placeId; + this.PlaceAnswerSources = placeAnswerSources; } /// 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 f9e614fa1..b9c043c10 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 187f2d523..76ba2d063 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class Model { /// - /// Maximum number of input tokens allowed for this model. + /// Maximum number of output tokens available for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { get; set; } /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// The 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("baseModelId")] - public string? BaseModelId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { 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` @@ -26,24 +26,6 @@ public sealed partial class Model [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } - /// - /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } - - /// - /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// Maximum number of output tokens available for this model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] - public int? OutputTokenLimit { get; set; } - /// /// The maximum temperature this model can use. /// @@ -51,10 +33,10 @@ public sealed partial class Model public float? MaxTemperature { get; set; } /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// Maximum number of input tokens allowed for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] + public int? InputTokenLimit { get; set; } /// /// Whether the model supports thinking. @@ -69,10 +51,16 @@ public sealed partial class Model public string? Version { get; set; } /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } + + /// + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] + public string? BaseModelId { get; set; } /// /// A short description of the model. @@ -81,10 +69,22 @@ public sealed partial class Model 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. + /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } + + /// + /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -95,29 +95,20 @@ public sealed partial class Model /// /// Initializes a new instance of the class. /// - /// - /// Maximum number of input tokens allowed for this model. + /// + /// Maximum number of output tokens available for this model. /// - /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// /// /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` /// - /// - /// For 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 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. - /// - /// - /// Maximum number of output tokens available for this model. - /// /// /// The maximum temperature this model can use. /// - /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// + /// Maximum number of input tokens allowed for this model. /// /// /// Whether the model supports thinking. @@ -125,46 +116,55 @@ public sealed partial class Model /// /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// + /// + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// /// /// A short description of the model. /// - /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// + /// The 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. + /// + /// + /// 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. + /// + /// + /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - int? inputTokenLimit, - string? baseModelId, - string? name, - int? topK, - string? displayName, int? outputTokenLimit, + global::System.Collections.Generic.IList? supportedGenerationMethods, + string? name, float? maxTemperature, - float? topP, + int? inputTokenLimit, bool? thinking, string? version, - global::System.Collections.Generic.IList? supportedGenerationMethods, + float? temperature, + string? baseModelId, string? description, - float? temperature) + string? displayName, + int? topK, + float? topP) { - this.InputTokenLimit = inputTokenLimit; - this.BaseModelId = baseModelId; - this.Name = name; - this.TopK = topK; - this.DisplayName = displayName; this.OutputTokenLimit = outputTokenLimit; + this.SupportedGenerationMethods = supportedGenerationMethods; + this.Name = name; this.MaxTemperature = maxTemperature; - this.TopP = topP; + this.InputTokenLimit = inputTokenLimit; this.Thinking = thinking; this.Version = version; - this.SupportedGenerationMethods = supportedGenerationMethods; - this.Description = description; this.Temperature = temperature; + this.BaseModelId = baseModelId; + this.Description = description; + this.DisplayName = displayName; + this.TopK = topK; + this.TopP = topP; } /// 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 0da3ec088..bb3395ca6 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 c06e74ffd..0acbfcf9f 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class Operation { + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + [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). /// @@ -21,10 +27,10 @@ public sealed partial class Operation public object? Response { 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. + /// 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("metadata")] - public object? Metadata { get; set; } + [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}`. @@ -32,12 +38,6 @@ public sealed partial class Operation [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class Operation /// /// Initializes a new instance of the class. /// + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// /// /// 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`. /// - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// /// /// The 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. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Operation( + object? metadata, global::Google.Gemini.Status? error, object? response, - object? metadata, - string? name, - bool? done) + bool? done, + string? name) { + this.Metadata = metadata; this.Error = error; this.Response = response; - this.Metadata = metadata; - this.Name = name; 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 5eceeace0..093979ead 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 { - /// - /// Inline text. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { 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`. /// @@ -23,11 +17,10 @@ public sealed partial class Part public global::Google.Gemini.ToolCall? ToolCall { get; set; } /// - /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - [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("inlineData")] + public global::Google.Gemini.Blob? InlineData { 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. @@ -35,12 +28,6 @@ public sealed partial class Part [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } - /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] - public object? PartMetadata { get; set; } - /// /// URI based data. /// @@ -48,10 +35,10 @@ public sealed partial class Part public global::Google.Gemini.FileData? FileData { get; set; } /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] + public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } /// /// Optional. Indicates if the part is thought from the model. @@ -59,12 +46,6 @@ public sealed partial class Part [global::System.Text.Json.Serialization.JsonPropertyName("thought")] public bool? Thought { get; set; } - /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] - public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } - /// /// 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. /// @@ -84,10 +65,29 @@ public sealed partial class Part public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] - public global::Google.Gemini.Blob? InlineData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] + public object? PartMetadata { get; set; } + + /// + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + + /// + /// Inline text. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } + + /// + /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + [global::System.Obsolete("This property marked as deprecated.")] + public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -98,30 +98,24 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// - /// - /// Inline text. - /// /// /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. /// + /// + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// /// /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// - /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. - /// /// /// URI based data. /// - /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// /// /// Optional. Indicates if the part is thought from the model. /// - /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. - /// /// /// 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. /// @@ -131,38 +125,44 @@ public sealed partial class Part /// /// 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`. /// - /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// + /// + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// + /// + /// Inline text. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( - string? text, global::Google.Gemini.ToolCall? toolCall, + global::Google.Gemini.Blob? inlineData, global::Google.Gemini.ExecutableCode? executableCode, - object? partMetadata, global::Google.Gemini.FileData? fileData, - global::Google.Gemini.FunctionCall? functionCall, - bool? thought, global::Google.Gemini.CodeExecutionResult? codeExecutionResult, + bool? thought, global::Google.Gemini.FunctionResponse? functionResponse, byte[]? thoughtSignature, global::Google.Gemini.ToolResponse? toolResponse, - global::Google.Gemini.Blob? inlineData) + object? partMetadata, + global::Google.Gemini.FunctionCall? functionCall, + string? text) { - this.Text = text; this.ToolCall = toolCall; + this.InlineData = inlineData; this.ExecutableCode = executableCode; - this.PartMetadata = partMetadata; this.FileData = fileData; - this.FunctionCall = functionCall; - this.Thought = thought; this.CodeExecutionResult = codeExecutionResult; + this.Thought = thought; this.FunctionResponse = functionResponse; this.ThoughtSignature = thoughtSignature; this.ToolResponse = toolResponse; - this.InlineData = inlineData; + this.PartMetadata = partMetadata; + this.FunctionCall = functionCall; + this.Text = text; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs index be7e5da83..6ba64193b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs @@ -9,11 +9,10 @@ namespace Google.Gemini public sealed partial class Permission { /// - /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
- /// Included only in responses + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] + public string? EmailAddress { get; set; } /// /// Required. The role granted by this permission. @@ -22,6 +21,13 @@ public sealed partial class Permission [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter))] public global::Google.Gemini.PermissionRole? Role { get; set; } + /// + /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Optional. Immutable. The type of the grantee. /// @@ -29,12 +35,6 @@ public sealed partial class Permission [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter))] public global::Google.Gemini.PermissionGranteeType? GranteeType { get; set; } - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] - public string? EmailAddress { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,32 +44,32 @@ public sealed partial class Permission /// /// Initializes a new instance of the class. /// - /// - /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
- /// Included only in responses + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// /// Required. The role granted by this permission. /// + /// + /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
+ /// Included only in responses + /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( - string? name, + string? emailAddress, global::Google.Gemini.PermissionRole? role, - global::Google.Gemini.PermissionGranteeType? granteeType, - string? emailAddress) + string? name, + global::Google.Gemini.PermissionGranteeType? granteeType) { - this.Name = name; + this.EmailAddress = emailAddress; this.Role = role; + this.Name = name; this.GranteeType = granteeType; - this.EmailAddress = emailAddress; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs index 458cc7a70..f7e526d8a 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 @@ -8,6 +8,12 @@ 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. /// @@ -15,12 +21,6 @@ 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. /// - /// - /// 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. /// + /// + /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public PromptFeedback( - global::Google.Gemini.PromptFeedbackBlockReason? blockReason, - global::System.Collections.Generic.IList? safetyRatings) + global::System.Collections.Generic.IList? safetyRatings, + global::Google.Gemini.PromptFeedbackBlockReason? blockReason) { - this.BlockReason = blockReason; this.SafetyRatings = safetyRatings; + this.BlockReason = blockReason; } /// 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 c1b53fe93..f33dd5a61 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs @@ -9,10 +9,16 @@ namespace Google.Gemini public sealed partial class RetrievedContext { /// - /// Optional. Text of the chunk. + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [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; } /// /// Optional. User-provided metadata about the retrieved context. @@ -21,10 +27,10 @@ public sealed partial class RetrievedContext public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// - /// Optional. URI reference of the semantic retrieval document. + /// Optional. Page number of the retrieved context, if applicable. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] + public int? PageNumber { get; set; } /// /// Optional. Title of the document. @@ -33,22 +39,16 @@ public sealed partial class RetrievedContext public string? Title { get; set; } /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] - public string? FileSearchStore { get; set; } - - /// - /// Optional. Page number of the retrieved context, if applicable. + /// Optional. URI reference of the semantic retrieval document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] - public int? PageNumber { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} + /// Optional. Text of the chunk. /// - [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] - public string? MediaId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { 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. Text of the chunk. + /// + /// 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. URI reference of the semantic retrieval document. + /// + /// Optional. Page number of the retrieved context, if applicable. /// /// /// Optional. Title of the document. /// - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` - /// - /// - /// Optional. Page number of the retrieved context, if applicable. + /// + /// 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} + /// + /// Optional. Text of the chunk. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( - string? text, - global::System.Collections.Generic.IList? customMetadata, - string? uri, - string? title, string? fileSearchStore, + string? mediaId, + global::System.Collections.Generic.IList? customMetadata, int? pageNumber, - string? mediaId) + string? title, + string? uri, + string? text) { - this.Text = text; - this.CustomMetadata = customMetadata; - this.Uri = uri; - this.Title = title; this.FileSearchStore = fileSearchStore; - this.PageNumber = pageNumber; this.MediaId = mediaId; + this.CustomMetadata = customMetadata; + this.PageNumber = pageNumber; + this.Title = title; + this.Uri = uri; + this.Text = text; } /// 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 550780da3..dcbe94b62 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs @@ -14,18 +14,18 @@ public sealed partial class ReviewSnippet [global::System.Text.Json.Serialization.JsonPropertyName("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; } - /// /// Title of the review. /// [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ReviewSnippet /// /// The ID of the review snippet. /// - /// - /// A link that corresponds to the user review on Google Maps. - /// /// /// Title of the review. /// + /// + /// A link that corresponds to the user review on Google Maps. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ReviewSnippet( string? reviewId, - string? googleMapsUri, - string? title) + string? title, + string? googleMapsUri) { this.ReviewId = reviewId; - this.GoogleMapsUri = googleMapsUri; this.Title = title; + this.GoogleMapsUri = googleMapsUri; } /// 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 1575df9d2..92d47abf7 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 @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class SafetyRating { /// - /// Was this content blocked because of this rating? + /// Required. The probability of harm for this content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] - public bool? Blocked { get; set; } + [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. @@ -22,11 +23,10 @@ public sealed partial class SafetyRating public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } /// - /// Required. The probability of harm for this content. + /// Was this content blocked because of this rating? /// - [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; } + [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] + public bool? Blocked { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -37,26 +37,26 @@ public sealed partial class SafetyRating /// /// Initializes a new instance of the class. /// - /// - /// Was this content blocked because of this rating? + /// + /// 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? /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( - bool? blocked, + global::Google.Gemini.SafetyRatingProbability? probability, global::Google.Gemini.SafetyRatingCategory? category, - global::Google.Gemini.SafetyRatingProbability? probability) + bool? blocked) { - this.Blocked = blocked; - this.Category = category; this.Probability = probability; + this.Category = category; + this.Blocked = blocked; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs index 77c5a29f5..ba09cc052 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class SafetySetting { - /// - /// Required. Controls the probability threshold at which harm is blocked. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("threshold")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter))] - public global::Google.Gemini.SafetySettingThreshold? Threshold { get; set; } - /// /// Required. The category for this setting. /// @@ -22,6 +15,13 @@ public sealed partial class SafetySetting [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter))] public global::Google.Gemini.SafetySettingCategory? Category { get; set; } + /// + /// Required. Controls the probability threshold at which harm is blocked. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("threshold")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter))] + public global::Google.Gemini.SafetySettingThreshold? Threshold { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -31,21 +31,21 @@ public sealed partial class SafetySetting /// /// Initializes a new instance of the class. /// - /// - /// Required. Controls the probability threshold at which harm is blocked. - /// /// /// Required. The category for this setting. /// + /// + /// Required. Controls the probability threshold at which harm is blocked. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetySetting( - global::Google.Gemini.SafetySettingThreshold? threshold, - global::Google.Gemini.SafetySettingCategory? category) + global::Google.Gemini.SafetySettingCategory? category, + global::Google.Gemini.SafetySettingThreshold? threshold) { - this.Threshold = threshold; this.Category = category; + this.Threshold = threshold; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs index 80f616cfe..718d7d25f 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 @@ -9,35 +9,22 @@ namespace Google.Gemini public sealed partial class Schema { /// - /// Optional. Maximum number of the elements for Type.ARRAY. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] - public string? MaxItems { get; set; } - - /// - /// Optional. Indicates if the value may be null. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] - public bool? Nullable { get; set; } - - /// - /// Required. Data type. + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - [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("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. Maximum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("items")] - public global::Google.Gemini.Schema? Items { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] + public string? MaxProperties { get; set; } /// - /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] - public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { get; set; } /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER @@ -45,24 +32,18 @@ public sealed partial class Schema [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] public double? Minimum { get; set; } - /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("format")] - public string? Format { 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. Example of the object. Will only populated when the object is the root. /// [global::System.Text.Json.Serialization.JsonPropertyName("example")] public object? Example { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] + public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } + /// /// Optional. The title of the schema. /// @@ -70,22 +51,28 @@ public sealed partial class Schema public string? Title { get; set; } /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// Optional. Required properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] - public string? MaxProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// - /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + /// Optional. Indicates if the value may be null. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enum")] - public global::System.Collections.Generic.IList? Enum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] + public bool? Nullable { get; set; } /// - /// Optional. Required properties of Type.OBJECT. + /// 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("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("items")] + public global::Google.Gemini.Schema? Items { 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. @@ -94,10 +81,10 @@ public sealed partial class Schema public global::System.Collections.Generic.IList? AnyOf { get; set; } /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// Optional. Minimum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] - public string? MinItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { get; set; } /// /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING @@ -106,10 +93,10 @@ public sealed partial class Schema public string? MinLength { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. Minimum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] + public string? MinItems { get; set; } /// /// Optional. Maximum length of the Type.STRING @@ -118,28 +105,41 @@ public sealed partial class Schema public string? MaxLength { get; set; } /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] - public string? Pattern { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("type")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] + public global::Google.Gemini.SchemaType? Type { get; set; } /// - /// Optional. 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"]} /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enum")] + public global::System.Collections.Generic.IList? Enum { get; set; } /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// Optional. Maximum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + public string? MaxItems { get; set; } /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// Optional. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } + + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { get; set; } + + /// + /// 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("description")] + public string? Description { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -150,121 +150,121 @@ public sealed partial class Schema /// /// Initializes a new instance of the class. /// - /// - /// Optional. Maximum number of the elements for Type.ARRAY. - /// - /// - /// Optional. Indicates if the value may be null. - /// - /// - /// Required. Data type. + /// + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - /// - /// 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. Maximum number of the properties for Type.OBJECT. /// - /// - /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. + /// + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. - /// - /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER - /// /// /// Optional. Example of the object. Will only populated when the object is the root. /// + /// + /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. + /// /// /// Optional. The title of the schema. /// - /// - /// Optional. Maximum number of the properties for Type.OBJECT. - /// - /// - /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} - /// /// /// Optional. Required properties of Type.OBJECT. /// + /// + /// Optional. Indicates if the value may be null. + /// + /// + /// 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. 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. /// - /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// + /// Optional. Minimum number of the properties for Type.OBJECT. /// /// /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - /// - /// Optional. Properties of Type.OBJECT. + /// + /// Optional. Minimum number of the elements for Type.ARRAY. /// /// /// Optional. Maximum length of the Type.STRING /// - /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// + /// Required. Data type. /// - /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// + /// Optional. 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. Properties of Type.OBJECT. + /// + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// /// /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - /// - /// Optional. Minimum number of the properties for Type.OBJECT. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - string? maxItems, - bool? nullable, - global::Google.Gemini.SchemaType? type, - global::Google.Gemini.Schema? items, - global::System.Collections.Generic.IList? propertyOrdering, + object? @default, + string? maxProperties, + string? pattern, double? minimum, - string? format, - double? maximum, object? example, + global::System.Collections.Generic.IList? propertyOrdering, string? title, - string? maxProperties, - global::System.Collections.Generic.IList? @enum, global::System.Collections.Generic.IList? required, + bool? nullable, + global::Google.Gemini.Schema? items, + double? maximum, global::System.Collections.Generic.IList? anyOf, - string? minItems, + string? minProperties, string? minLength, - global::System.Collections.Generic.Dictionary? properties, + string? minItems, string? maxLength, - string? pattern, - object? @default, - string? description, - string? minProperties) + global::Google.Gemini.SchemaType? type, + global::System.Collections.Generic.IList? @enum, + string? maxItems, + global::System.Collections.Generic.Dictionary? properties, + string? format, + string? description) { - this.MaxItems = maxItems; - this.Nullable = nullable; - this.Type = type; - this.Items = items; - this.PropertyOrdering = propertyOrdering; + this.Default = @default; + this.MaxProperties = maxProperties; + this.Pattern = pattern; this.Minimum = minimum; - this.Format = format; - this.Maximum = maximum; this.Example = example; + this.PropertyOrdering = propertyOrdering; this.Title = title; - this.MaxProperties = maxProperties; - this.Enum = @enum; this.Required = required; + this.Nullable = nullable; + this.Items = items; + this.Maximum = maximum; this.AnyOf = anyOf; - this.MinItems = minItems; + this.MinProperties = minProperties; this.MinLength = minLength; - this.Properties = properties; + this.MinItems = minItems; this.MaxLength = maxLength; - this.Pattern = pattern; - this.Default = @default; + this.Type = type; + this.Enum = @enum; + this.MaxItems = maxItems; + this.Properties = properties; + this.Format = format; this.Description = description; - this.MinProperties = minProperties; } /// 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 24d94e406..45f30e57d 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.Status.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs index fcc62f1a6..08b874895 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class Status { + /// + /// The status code, which should be an enum value of google.rpc.Code. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("code")] + public int? Code { get; set; } + /// /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// @@ -20,12 +26,6 @@ public sealed partial class Status [global::System.Text.Json.Serialization.JsonPropertyName("details")] public global::System.Collections.Generic.IList? Details { get; set; } - /// - /// The status code, which should be an enum value of google.rpc.Code. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("code")] - public int? Code { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class Status /// /// Initializes a new instance of the class. /// + /// + /// The status code, which should be an enum value of google.rpc.Code. + /// /// /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// /// /// A list of messages that carry the error details. There is a common set of message types for APIs to use. /// - /// - /// The status code, which should be an enum value of google.rpc.Code. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Status( + int? code, string? message, - global::System.Collections.Generic.IList? details, - int? code) + global::System.Collections.Generic.IList? details) { + this.Code = code; this.Message = message; this.Details = details; - this.Code = code; } /// 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 9d4c28fd1..d5b7eb634 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class StreamableHttpTransport { - /// - /// Timeout for SSE read operations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] - public string? SseReadTimeout { get; set; } - - /// - /// 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. /// @@ -32,12 +20,24 @@ public sealed partial class StreamableHttpTransport [global::System.Text.Json.Serialization.JsonPropertyName("url")] public string? Url { 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; } + /// /// HTTP timeout for regular operations. /// [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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class StreamableHttpTransport /// /// Initializes a new instance of the class. /// - /// - /// Timeout for SSE read operations. - /// - /// - /// Optional: Fields for authentication headers, timeouts, etc., if needed. - /// /// /// Whether to close the client session when the transport closes. /// /// /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" /// + /// + /// Optional: Fields for authentication headers, timeouts, etc., if needed. + /// /// /// HTTP timeout for regular operations. /// + /// + /// Timeout for SSE read operations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( - string? sseReadTimeout, - global::System.Collections.Generic.Dictionary? headers, bool? terminateOnClose, string? url, - string? timeout) + global::System.Collections.Generic.Dictionary? headers, + string? timeout, + string? sseReadTimeout) { - this.SseReadTimeout = sseReadTimeout; - this.Headers = headers; this.TerminateOnClose = terminateOnClose; this.Url = url; + this.Headers = headers; this.Timeout = timeout; + this.SseReadTimeout = sseReadTimeout; } /// 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 02ca2d7a4..022196dc6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs @@ -9,40 +9,40 @@ namespace Google.Gemini public sealed partial class Tool { /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] - public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] + public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } /// - /// Computer Use tool type. + /// Optional. MCP Servers to connect to. /// - [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] - public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] + public global::System.Collections.Generic.IList? McpServers { get; set; } /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] - public global::Google.Gemini.FileSearch? FileSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] + public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } /// - /// Tool to support URL context retrieval. + /// 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("urlContext")] - public global::Google.Gemini.UrlContext? UrlContext { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] + public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } /// - /// Optional. MCP Servers to connect to. + /// Computer Use tool type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] - public global::System.Collections.Generic.IList? McpServers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] + public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] - public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] + public global::Google.Gemini.FileSearch? FileSearch { get; set; } /// /// Tool to retrieve public web data for grounding, powered by Google. @@ -51,16 +51,16 @@ public sealed partial class Tool public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } /// - /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] - public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] + public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } /// - /// 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. + /// Tool to support URL context retrieval. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] - public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] + public global::Google.Gemini.UrlContext? UrlContext { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,17 +71,8 @@ public sealed partial class Tool /// /// Initializes a new instance of the class. /// - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. - /// - /// - /// Computer Use tool type. - /// - /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. - /// - /// - /// Tool to support URL context retrieval. + /// + /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// /// /// Optional. MCP Servers to connect to. @@ -89,38 +80,47 @@ public sealed partial class Tool /// /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// + /// + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// + /// + /// Computer Use tool type. + /// + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// /// /// Tool to retrieve public web data for grounding, powered by Google. /// - /// - /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. + /// + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// - /// - /// 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. + /// + /// Tool to support URL context retrieval. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( - global::Google.Gemini.GoogleMaps? googleMaps, - global::Google.Gemini.ComputerUse? computerUse, - global::Google.Gemini.FileSearch? fileSearch, - global::Google.Gemini.UrlContext? urlContext, + global::System.Collections.Generic.IList? functionDeclarations, global::System.Collections.Generic.IList? mcpServers, global::Google.Gemini.GoogleSearch? googleSearch, + global::Google.Gemini.CodeExecution? codeExecution, + global::Google.Gemini.ComputerUse? computerUse, + global::Google.Gemini.FileSearch? fileSearch, global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, - global::System.Collections.Generic.IList? functionDeclarations, - global::Google.Gemini.CodeExecution? codeExecution) + global::Google.Gemini.GoogleMaps? googleMaps, + global::Google.Gemini.UrlContext? urlContext) { - this.GoogleMaps = googleMaps; - this.ComputerUse = computerUse; - this.FileSearch = fileSearch; - this.UrlContext = urlContext; + this.FunctionDeclarations = functionDeclarations; this.McpServers = mcpServers; this.GoogleSearch = googleSearch; - this.GoogleSearchRetrieval = googleSearchRetrieval; - this.FunctionDeclarations = functionDeclarations; this.CodeExecution = codeExecution; + this.ComputerUse = computerUse; + this.FileSearch = fileSearch; + this.GoogleSearchRetrieval = googleSearchRetrieval; + this.GoogleMaps = googleMaps; + this.UrlContext = urlContext; } /// 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 c04b49150..eb31d18b5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ToolCall { + /// + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Required. The type of tool that was called. /// @@ -21,12 +27,6 @@ public sealed partial class ToolCall [global::System.Text.Json.Serialization.JsonPropertyName("args")] public object? Args { get; set; } - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ToolCall /// /// Initializes a new instance of the class. /// + /// + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// /// /// Required. The type of tool that was called. /// /// /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} /// - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolCall( + string? id, global::Google.Gemini.ToolCallToolType? toolType, - object? args, - string? id) + object? args) { + this.Id = id; this.ToolType = toolType; this.Args = args; - this.Id = id; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs index 7590b7edb..9ead48d09 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 @@ -9,87 +9,87 @@ namespace Google.Gemini public sealed partial class TunedModel { /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] - public string? BaseModel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses + /// 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("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Tuned model as a source for training a new model. + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] - public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } + [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. + /// Optional. A short description of this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Tuning tasks that create tuned models. + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] + public string? BaseModel { 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. + /// Output only. The state of the tuned model.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] + public global::Google.Gemini.TunedModelState? State { get; set; } /// - /// Optional. List of project numbers that have read access to the tuned model. + /// Output only. The timestamp when this model was created.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] - public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. The timestamp when this model was updated.
+ /// 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("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Optional. A short description of this model. + /// Tuned model as a source for training a new model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] + public global::Google.Gemini.TunedModelSource? TunedModelSource { 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. + /// Optional. List of project numbers that have read access to the tuned model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [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 + /// Tuning tasks that create tuned models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] - public global::Google.Gemini.TunedModelState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { 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. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// - /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses - /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. - /// - /// - /// Output only. The timestamp when this model was created.
- /// Included only in responses - /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Optional. A short description of this model. /// /// /// Output only. The timestamp when this model was updated.
/// Included only in responses /// - /// - /// Optional. A short description of this model. - /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// /// /// Output only. The state of the tuned model.
/// Included only in responses /// + /// + /// Output only. The timestamp when this model was created.
+ /// Included only in responses + /// + /// + /// 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. + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Tuning tasks that create tuned models. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( - string? baseModel, - string? name, - global::Google.Gemini.TunedModelSource? tunedModelSource, - int? topK, - global::Google.Gemini.TuningTask? tuningTask, - string? createTime, string? displayName, + int? topK, float? topP, - global::System.Collections.Generic.IList? readerProjectNumbers, - string? updateTime, string? description, + string? updateTime, float? temperature, - global::Google.Gemini.TunedModelState? state) + string? baseModel, + global::Google.Gemini.TunedModelState? state, + string? createTime, + string? name, + global::Google.Gemini.TunedModelSource? tunedModelSource, + global::System.Collections.Generic.IList? readerProjectNumbers, + global::Google.Gemini.TuningTask? tuningTask) { - this.BaseModel = baseModel; - this.Name = name; - this.TunedModelSource = tunedModelSource; - this.TopK = topK; - this.TuningTask = tuningTask; - this.CreateTime = createTime; this.DisplayName = displayName; + this.TopK = topK; this.TopP = topP; - this.ReaderProjectNumbers = readerProjectNumbers; - this.UpdateTime = updateTime; this.Description = description; + this.UpdateTime = updateTime; this.Temperature = temperature; + this.BaseModel = baseModel; this.State = state; + this.CreateTime = createTime; + this.Name = name; + this.TunedModelSource = tunedModelSource; + this.ReaderProjectNumbers = readerProjectNumbers; + this.TuningTask = tuningTask; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs index 8d81afc5e..9f62ece27 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class TunedModelSource { + /// + /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModel")] + public string? TunedModel { get; set; } + /// /// Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`
/// Included only in responses @@ -15,12 +21,6 @@ public sealed partial class TunedModelSource [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] public string? BaseModel { get; set; } - /// - /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModel")] - public string? TunedModel { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class TunedModelSource /// /// Initializes a new instance of the class. /// + /// + /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` + /// /// /// Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`
/// Included only in responses /// - /// - /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModelSource( - string? baseModel, - string? tunedModel) + string? tunedModel, + string? baseModel) { - this.BaseModel = baseModel; this.TunedModel = tunedModel; + this.BaseModel = baseModel; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs index 2e6194855..a3475eb51 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class TuningSnapshot { /// - /// Output only. The tuning step.
+ /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("step")] - public int? Step { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] + public string? ComputeTime { get; set; } /// /// Output only. The mean loss of the training examples for this step.
@@ -23,11 +23,11 @@ public sealed partial class TuningSnapshot public float? MeanLoss { get; set; } /// - /// Output only. The timestamp when this metric was computed.
+ /// Output only. The tuning step.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] - public string? ComputeTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("step")] + public int? Step { get; set; } /// /// Output only. The epoch this step was part of.
@@ -45,16 +45,16 @@ public sealed partial class TuningSnapshot /// /// Initializes a new instance of the class. /// - /// - /// Output only. The tuning step.
+ /// + /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// /// /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// - /// - /// Output only. The timestamp when this metric was computed.
+ /// + /// Output only. The tuning step.
/// Included only in responses /// /// @@ -65,14 +65,14 @@ public sealed partial class TuningSnapshot [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( - int? step, - float? meanLoss, string? computeTime, + float? meanLoss, + int? step, int? epoch) { - this.Step = step; - this.MeanLoss = meanLoss; this.ComputeTime = computeTime; + this.MeanLoss = meanLoss; + this.Step = step; this.Epoch = epoch; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs index 9fda5370c..15425d222 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs @@ -8,25 +8,12 @@ namespace Google.Gemini /// public sealed partial class TuningTask { - /// - /// Output only. The timestamp when tuning this model completed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] - public string? CompleteTime { get; set; } - /// /// Dataset for training or validation. /// [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] public global::Google.Gemini.Dataset? TrainingData { get; set; } - /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance - /// - [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] - public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } - /// /// Output only. Metrics collected during tuning.
/// Included only in responses @@ -34,6 +21,12 @@ public sealed partial class TuningTask [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; } + /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses @@ -41,6 +34,13 @@ public sealed partial class TuningTask [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] public string? StartTime { get; set; } + /// + /// Output only. The timestamp when tuning this model completed.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] + public string? CompleteTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -50,39 +50,39 @@ public sealed partial class TuningTask /// /// Initializes a new instance of the class. /// - /// - /// Output only. The timestamp when tuning this model completed.
- /// Included only in responses - /// /// /// Dataset for training or validation. /// - /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance - /// /// /// Output only. Metrics collected during tuning.
/// Included only in responses /// + /// + /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// + /// + /// Output only. The timestamp when tuning this model completed.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( - string? completeTime, global::Google.Gemini.Dataset? trainingData, - global::Google.Gemini.Hyperparameters? hyperparameters, global::System.Collections.Generic.IList? snapshots, - string? startTime) + global::Google.Gemini.Hyperparameters? hyperparameters, + string? startTime, + string? completeTime) { - this.CompleteTime = completeTime; this.TrainingData = trainingData; - this.Hyperparameters = hyperparameters; this.Snapshots = snapshots; + this.Hyperparameters = hyperparameters; this.StartTime = startTime; + this.CompleteTime = completeTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs index 9e682db68..8020c6467 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class UploadToFileSearchStoreRequest { - /// - /// Custom metadata to be associated with the data. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// @@ -26,6 +20,12 @@ public sealed partial class UploadToFileSearchStoreRequest [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Custom metadata to be associated with the data. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -41,15 +41,15 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// Initializes a new instance of the class. /// - /// - /// Custom metadata to be associated with the data. - /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// /// /// Optional. Display name of the created document. /// + /// + /// Custom metadata to be associated with the data. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -57,14 +57,14 @@ public sealed partial class UploadToFileSearchStoreRequest [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UploadToFileSearchStoreRequest( - global::System.Collections.Generic.IList? customMetadata, string? mimeType, string? displayName, + global::System.Collections.Generic.IList? customMetadata, global::Google.Gemini.ChunkingConfig? chunkingConfig) { - this.CustomMetadata = customMetadata; this.MimeType = mimeType; this.DisplayName = displayName; + this.CustomMetadata = customMetadata; this.ChunkingConfig = chunkingConfig; } 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 868c642d9..52430b531 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class UsageMetadata { /// - /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] - public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { 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. @@ -22,17 +22,24 @@ public sealed partial class UsageMetadata public int? PromptTokenCount { get; set; } /// - /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Total number of tokens across all the generated response candidates. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { get; set; } + + /// + /// Output only. List of modalities that were returned in the response.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] - public int? ToolUsePromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] + public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } /// - /// Total number of tokens across all the generated response candidates. + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] + public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } /// /// Total token count for the generation request (prompt + response candidates). @@ -41,17 +48,18 @@ public sealed partial class UsageMetadata public int? TotalTokenCount { get; set; } /// - /// 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 /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// Output only. List of modalities that were returned in the response.
+ /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] - public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] + public int? ToolUsePromptTokenCount { get; set; } /// /// Output only. Number of tokens of thoughts for thinking models.
@@ -61,18 +69,10 @@ public sealed partial class UsageMetadata public int? ThoughtsTokenCount { get; set; } /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } - - /// - /// Output only. List of modalities of the cached content in the request input.
- /// Included only in responses + /// Number of tokens in the cached part of the prompt (the cached content) /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -97,42 +97,42 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// + /// Output only. List of modalities of the cached content in the request input.
/// 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. Number of tokens present in tool-use prompt(s).
- /// Included only in responses - /// /// /// Total number of tokens across all the generated response candidates. /// - /// - /// Total token count for the generation request (prompt + response candidates). - /// - /// - /// Number of tokens in the cached part of the prompt (the cached content) - /// /// /// Output only. List of modalities that were returned in the response.
/// Included only in responses /// - /// - /// Output only. Number of tokens of thoughts for thinking models.
+ /// + /// Output only. List of modalities that were processed for tool-use request inputs.
/// Included only in responses /// + /// + /// Total token count for the generation request (prompt + response candidates). + /// /// /// 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 present in tool-use prompt(s).
+ /// Included only in responses + /// + /// + /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// + /// + /// Number of tokens in the cached part of the prompt (the cached content) + /// /// /// 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? toolUsePromptTokensDetails, + global::System.Collections.Generic.IList? cacheTokensDetails, int? promptTokenCount, - int? toolUsePromptTokenCount, int? candidatesTokenCount, - int? totalTokenCount, - int? cachedContentTokenCount, global::System.Collections.Generic.IList? candidatesTokensDetails, - int? thoughtsTokenCount, + global::System.Collections.Generic.IList? toolUsePromptTokensDetails, + int? totalTokenCount, global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? cacheTokensDetails, + int? toolUsePromptTokenCount, + int? thoughtsTokenCount, + int? cachedContentTokenCount, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { - this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; + this.CacheTokensDetails = cacheTokensDetails; this.PromptTokenCount = promptTokenCount; - this.ToolUsePromptTokenCount = toolUsePromptTokenCount; this.CandidatesTokenCount = candidatesTokenCount; - this.TotalTokenCount = totalTokenCount; - this.CachedContentTokenCount = cachedContentTokenCount; this.CandidatesTokensDetails = candidatesTokensDetails; - this.ThoughtsTokenCount = thoughtsTokenCount; + this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; + this.TotalTokenCount = totalTokenCount; this.PromptTokensDetails = promptTokensDetails; - this.CacheTokensDetails = cacheTokensDetails; + this.ToolUsePromptTokenCount = toolUsePromptTokenCount; + this.ThoughtsTokenCount = thoughtsTokenCount; + this.CachedContentTokenCount = cachedContentTokenCount; 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 96e74ccb5..0745a5655 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 @@ -17,18 +17,18 @@ public sealed partial class VideoMetadata 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]. + /// Optional. The start offset of the video. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fps")] + [global::System.Text.Json.Serialization.JsonPropertyName("startOffset")] [global::System.Obsolete("This property marked as deprecated.")] - public double? Fps { get; set; } + public string? StartOffset { get; set; } /// - /// Optional. The start offset of the video. + /// Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. /// - [global::System.Text.Json.Serialization.JsonPropertyName("startOffset")] + [global::System.Text.Json.Serialization.JsonPropertyName("fps")] [global::System.Obsolete("This property marked as deprecated.")] - public string? StartOffset { get; set; } + public double? Fps { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -42,23 +42,23 @@ public sealed partial class VideoMetadata /// /// Optional. The end offset of the video. /// - /// - /// Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. - /// /// /// Optional. The start offset of the video. /// + /// + /// 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]. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public VideoMetadata( string? endOffset, - double? fps, - string? startOffset) + string? startOffset, + double? fps) { this.EndOffset = endOffset; - this.Fps = fps; this.StartOffset = startOffset; + this.Fps = fps; } /// diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index e7b176eef..1112f7e7c 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,47 +11,66 @@ } ], "paths": { - "/tunedModels/{tunedModelsId}": { - "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", + "/fileSearchStores/{fileSearchStoresId}:importFile": { + "post": { + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ImportFileRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", + } + }, + "/fileSearchStores/{fileSearchStoresId}": { + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -61,53 +80,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Empty" } } } } } }, - "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + "get": { + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^fileSearchStores/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -115,27 +116,15 @@ } } }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "/fileSearchStores": { "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -146,46 +135,42 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/FileSearchStore" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "tunedModels.generateContent", + }, + "get": { + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "integer", + "format": "int32" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "schema": { + "type": "string" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" } } } @@ -193,38 +178,37 @@ } } }, - "/tunedModels/{tunedModelsId}:transferOwnership": { - "post": { - "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", - "operationId": "tunedModels.transferOwnership", + "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -232,43 +216,37 @@ } } }, - "/tunedModels/{tunedModelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "tunedModels.streamGenerateContent", + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -276,97 +254,97 @@ } } }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { + "delete": { + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "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": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/tunedModels": { - "post": { - "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", - "operationId": "tunedModels.create", + }, + "get": { + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "tunedModelId", - "in": "query", - "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, "schema": { "type": "string" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" - } + }, + { + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Document" } } } } } - }, + } + }, + "/fileSearchStores/{fileSearchStoresId}/documents": { "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.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": "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" @@ -375,10 +353,20 @@ { "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": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", "schema": { "type": "string" } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" + } } ], "responses": { @@ -387,7 +375,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } @@ -395,19 +383,19 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions": { + "/dynamic/{dynamicId}:generateContent": { "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "dynamic.generateContent", "parameters": [ { - "name": "tunedModelsId", + "name": "dynamicId", "in": "path", "required": true, - "description": "Required. The 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/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -415,7 +403,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -426,21 +414,75 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, + } + }, + "/dynamic/{dynamicId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", + "parameters": [ + { + "name": "dynamicId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string", + "pattern": "^dynamic/[^/]+$" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" + } + } + } + } + } + } + }, + "/batches": { "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": "batches.list", "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `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" @@ -449,19 +491,17 @@ { "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/[^/]+$" + "type": "boolean" } } ], @@ -471,7 +511,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -479,27 +519,19 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + "/batches/{batchesId}": { "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "batches.get", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -509,7 +541,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } @@ -517,25 +549,17 @@ } }, "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", + "operationId": "batches.delete", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation resource to be deleted.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -551,33 +575,27 @@ } } } - }, + } + }, + "/batches/{batchesId}:updateGenerateContentBatch": { "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^batches/[^/]+$" } }, { "name": "updateMask", "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Optional. The list of fields to update.", "schema": { "type": "string", "format": "google-fieldmask" @@ -588,7 +606,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -599,7 +617,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -607,62 +625,77 @@ } } }, - "/tunedModels/{tunedModelsId}/operations": { - "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "tunedModels.operations.list", + "/batches/{batchesId}:cancel": { + "post": { + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "The name of the operation's parent resource.", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } } - }, + } + } + } + }, + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", + "parameters": [ { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", + "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/[^/]+$" } }, { - "name": "returnPartialSuccess", + "name": "updateMask", "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "description": "Optional. The list of fields to update.", "schema": { - "type": "boolean" + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EmbedContentBatch" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -670,27 +703,55 @@ } } }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "/corpora/{corporaId}": { "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 `Corpus`.", + "operationId": "corpora.get", "parameters": [ { - "name": "tunedModelsId", + "name": "corporaId", "in": "path", "required": true, + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { - "type": "string" + "type": "string", + "pattern": "^corpora/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Corpus" + } + } + } + } + } + }, + "delete": { + "description": "Deletes a `Corpus`.", + "operationId": "corpora.delete", + "parameters": [ + { + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", + "schema": { + "type": "boolean" } }, { - "name": "operationsId", + "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -700,7 +761,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -770,27 +831,27 @@ } } }, - "/corpora/{corporaId}": { - "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.delete", + "/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": "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.", + "name": "operationsId", + "in": "path", + "required": true, "schema": { - "type": "boolean" + "type": "string" } }, { "name": "corporaId", "in": "path", "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -800,25 +861,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", + } + }, + "/corpora/{corporaId}/permissions/{permissionsId}": { + "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 name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -828,15 +899,13 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/corpora/{corporaId}/permissions/{permissionsId}": { + }, "get": { "description": "Gets information about a specific Permission.", "operationId": "corpora.permissions.get", @@ -926,45 +995,46 @@ } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", + } + }, + "/corpora/{corporaId}/permissions": { + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "corpora.permissions.create", "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}`", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/corpora/{corporaId}/permissions": { + }, "get": { "description": "Lists permissions for the specific resource.", "operationId": "corpora.permissions.list", @@ -1009,38 +1079,38 @@ } } } - }, - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "corpora.permissions.create", + } + }, + "/generatedFiles": { + "get": { + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", "parameters": [ { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" + "type": "integer", + "format": "int32" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "schema": { + "type": "string" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListGeneratedFilesResponse" } } } @@ -1048,10 +1118,10 @@ } } }, - "/corpora/{corporaId}/operations/{operationsId}": { + "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "corpora.operations.get", + "operationId": "generatedFiles.operations.get", "parameters": [ { "name": "operationsId", @@ -1062,13 +1132,13 @@ } }, { - "name": "corporaId", + "name": "generatedFilesId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" } } ], @@ -1086,76 +1156,19 @@ } } }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { - "name": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", - "schema": { - "type": "string", - "format": "google-fieldmask" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" - } - } - } - } - } - } - }, - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", - "parameters": [ - { - "name": "batchesId", - "in": "path", - "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", - "schema": { - "type": "string", - "format": "google-fieldmask" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1163,7 +1176,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -1174,7 +1187,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/Operation" } } } @@ -1182,15 +1195,15 @@ } } }, - "/batches": { + "/tunedModels": { "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 created tuned models.", + "operationId": "tunedModels.list", "parameters": [ { "name": "filter", "in": "query", - "description": "The standard list filter.", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", "schema": { "type": "string" } @@ -1198,7 +1211,7 @@ { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -1207,18 +1220,10 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", "schema": { "type": "string" } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } } ], "responses": { @@ -1227,30 +1232,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } } } - } - }, - "/batches/{batchesId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "batches.get", + }, + "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": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", + "name": "tunedModelId", + "in": "query", + "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "type": "string" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" + } + } + } + }, "responses": { "200": { "description": "Successful response", @@ -1263,29 +1273,45 @@ } } } - }, - "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", + } + }, + "/tunedModels/{tunedModelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "tunedModels.streamGenerateContent", "parameters": [ { - "name": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource to be deleted.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1293,19 +1319,19 @@ } } }, - "/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", + "/tunedModels/{tunedModelsId}": { + "delete": { + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { - "name": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1321,79 +1347,103 @@ } } } - } - }, - "/files:register": { - "post": { - "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", - "operationId": "files.register", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/RegisterFilesRequest" - } + }, + "get": { + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesResponse" + "$ref": "#/components/schemas/TunedModel" } } } } } - } - }, - "/files": { - "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + }, + "patch": { + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", "schema": { - "type": "integer", - "format": "int32" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } }, { - "name": "pageToken", + "name": "updateMask", "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", + "description": "Optional. The list of fields to update.", "schema": { - "type": "string" + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFilesResponse" + "$ref": "#/components/schemas/TunedModel" } } } } } - }, + } + }, + "/tunedModels/{tunedModelsId}:transferOwnership": { "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", + "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/CreateFileRequest" + "$ref": "#/components/schemas/TransferOwnershipRequest" } } } @@ -1404,7 +1454,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } @@ -1412,57 +1462,77 @@ } } }, - "/files/{filesId}": { - "get": { - "description": "Gets the metadata for the given `File`.", - "operationId": "files.get", + "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { - "name": "filesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", + } + }, + "/tunedModels/{tunedModelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { - "name": "filesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1470,26 +1540,27 @@ } } }, - "/generatedFiles": { + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.list", + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", + "name": "tunedModelsId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -1499,21 +1570,19 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/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", + }, + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -1521,43 +1590,22 @@ } }, { - "name": "generatedFilesId", + "name": "permissionsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } - } - } - } - }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { - "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", - "parameters": [ + }, { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "format": "google-fieldmask" } } ], @@ -1565,7 +1613,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -1576,35 +1624,33 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}": { + }, "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "name": "tunedModelsId", + "in": "path", + "required": true, "schema": { - "type": "boolean" + "type": "string" } }, { - "name": "fileSearchStoresId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -1620,45 +1666,29 @@ } } } - }, - "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + } + }, + "/tunedModels/{tunedModelsId}/permissions": { + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", "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 parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/FileSearchStore" - } - } - } - } - } - } - }, - "/fileSearchStores": { - "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Permission" } } } @@ -1669,7 +1699,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Permission" } } } @@ -1677,13 +1707,13 @@ } }, "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -1692,10 +1722,20 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } + }, + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } } ], "responses": { @@ -1704,7 +1744,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -1712,38 +1752,62 @@ } } }, - "/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" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -1751,13 +1815,13 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "/tunedModels/{tunedModelsId}/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.upload.operations.get", + "operationId": "tunedModels.operations.get", "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -1765,13 +1829,13 @@ } }, { - "name": "fileSearchStoresId", + "name": "operationsId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" } } ], @@ -1789,37 +1853,38 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "post": { + "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", "parameters": [ - { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, { "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } @@ -1827,45 +1892,26 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", - "parameters": [ - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "documentsId", - "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": "^fileSearchStores/[^/]+/documents/[^/]+$" + "/files": { + "post": { + "description": "Creates a `File`.", + "operationId": "media.upload", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateFileRequest" + } } } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/CreateFileResponse" } } } @@ -1873,25 +1919,24 @@ } }, "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, + "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" + "type": "integer", + "format": "int32" } }, { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListFiles` call.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "type": "string" } } ], @@ -1901,7 +1946,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/ListFilesResponse" } } } @@ -1909,36 +1954,46 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents": { - "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", - "schema": { - "type": "integer", - "format": "int32" + "/files:register": { + "post": { + "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", + "operationId": "files.register", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RegisterFilesRequest" + } } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", - "schema": { - "type": "string" + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RegisterFilesResponse" + } + } } - }, + } + } + } + }, + "/files/{filesId}": { + "get": { + "description": "Gets the metadata for the given `File`.", + "operationId": "files.get", + "parameters": [ { - "name": "fileSearchStoresId", + "name": "filesId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `File` to get. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^files/[^/]+$" } } ], @@ -1948,27 +2003,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/File" } } } } } - } - }, - "/cachedContents/{cachedContentsId}": { + }, "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", + "description": "Deletes the `File`.", + "operationId": "files.delete", "parameters": [ { - "name": "cachedContentsId", + "name": "filesId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^files/[^/]+$" } } ], @@ -1984,28 +2037,21 @@ } } } - }, - "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", + } + }, + "/models/{modelsId}:batchEmbedContents": { + "post": { + "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", + "operationId": "models.batchEmbedContents", "parameters": [ { - "name": "cachedContentsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "The list of fields to update.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^models/[^/]+$" } } ], @@ -2013,7 +2059,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/BatchEmbedContentsRequest" } } } @@ -2024,51 +2070,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } } } - }, - "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.get", + } + }, + "/models/{modelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "models.generateContent", "parameters": [ { - "name": "cachedContentsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^models/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } - } - } - } - } - }, - "/cachedContents": { - "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -2079,32 +2109,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, + } + }, + "/models/{modelsId}": { "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + "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": "pageSize", - "in": "query", - "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "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}`", "schema": { - "type": "string" + "type": "string", + "pattern": "^models/[^/]+$" } } ], @@ -2114,7 +2139,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/Model" } } } @@ -2122,43 +2147,36 @@ } } }, - "/dynamic/{dynamicId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "dynamic.streamGenerateContent", + "/models": { + "get": { + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", "parameters": [ { - "name": "dynamicId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "pageSize", + "in": "query", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { - "type": "string", - "pattern": "^dynamic/[^/]+$" + "type": "integer", + "format": "int32" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } + }, + { + "name": "pageToken", + "in": "query", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "schema": { + "type": "string" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/ListModelsResponse" } } } @@ -2166,19 +2184,19 @@ } } }, - "/dynamic/{dynamicId}:generateContent": { + "/models/{modelsId}:countTokens": { "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "dynamic.generateContent", + "description": "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": "dynamicId", + "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": "^dynamic/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -2186,7 +2204,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/CountTokensRequest" } } } @@ -2197,7 +2215,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/CountTokensResponse" } } } @@ -2205,10 +2223,10 @@ } } }, - "/models/{modelsId}: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": "models.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": "modelsId", @@ -2225,7 +2243,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -2236,7 +2254,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -2244,29 +2262,38 @@ } } }, - "/models/{modelsId}": { - "get": { - "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", - "operationId": "models.get", + "/models/{modelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/Operation" } } } @@ -2274,10 +2301,10 @@ } } }, - "/models/{modelsId}:batchGenerateContent": { + "/models/{modelsId}:streamGenerateContent": { "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "models.streamGenerateContent", "parameters": [ { "name": "modelsId", @@ -2294,7 +2321,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -2305,7 +2332,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -2313,10 +2345,10 @@ } } }, - "/models/{modelsId}:countTokens": { + "/models/{modelsId}:embedContent": { "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", + "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", + "operationId": "models.embedContent", "parameters": [ { "name": "modelsId", @@ -2333,7 +2365,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensRequest" + "$ref": "#/components/schemas/EmbedContentRequest" } } } @@ -2344,7 +2376,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -2352,15 +2384,33 @@ } } }, - "/models": { + "/models/{modelsId}/operations": { "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "models.operations.list", "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + }, { "name": "pageSize", "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -2369,10 +2419,18 @@ { "name": "pageToken", "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "description": "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": { @@ -2381,7 +2439,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -2389,38 +2447,37 @@ } } }, - "/models/{modelsId}:embedContent": { - "post": { - "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", - "operationId": "models.embedContent", + "/models/{modelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "models.operations.get", "parameters": [ + { + "name": "operationsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, { "name": "modelsId", "in": "path", "required": true, - "description": "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": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -2428,97 +2485,84 @@ } } }, - "/models/{modelsId}:batchEmbedContents": { - "post": { - "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", - "operationId": "models.batchEmbedContents", + "/cachedContents/{cachedContentsId}": { + "delete": { + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", "parameters": [ { - "name": "modelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/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", + }, + "get": { + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.get", "parameters": [ { - "name": "modelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/models/{modelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", + }, + "patch": { + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", "parameters": [ { - "name": "modelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^cachedContents/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -2526,7 +2570,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/CachedContent" } } } @@ -2537,12 +2581,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/CachedContent" } } } @@ -2550,33 +2589,15 @@ } } }, - "/models/{modelsId}/operations": { + "/cachedContents": { "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": "Lists CachedContents.", + "operationId": "cachedContents.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", "schema": { "type": "integer", "format": "int32" @@ -2585,18 +2606,10 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", "schema": { "type": "string" } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } } ], "responses": { @@ -2605,45 +2618,32 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListCachedContentsResponse" } } } } } - } - }, - "/models/{modelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "models.operations.get", - "parameters": [ - { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" + }, + "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/Operation" + "$ref": "#/components/schemas/CachedContent" } } } @@ -2654,1258 +2654,1138 @@ }, "components": { "schemas": { - "EmbedContentBatchStats": { + "ToolResponse": { + "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", "type": "object", "properties": { - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", - "readOnly": true, - "type": "string", - "format": "int64" - }, - "failedRequestCount": { + "id": { "type": "string", - "format": "int64", - "description": "Output only. The number of requests that failed to be processed.", - "readOnly": true + "description": "Optional. The identifier of the tool call this response is for." }, - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "readOnly": true, + "toolType": { "type": "string", - "format": "int64" + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "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." + ] }, - "pendingRequestCount": { - "type": "string", - "format": "int64", - "description": "Output only. The number of requests that are still pending processing.", - "readOnly": true + "response": { + "description": "Optional. The tool response.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } } - }, - "description": "Stats about the batch." + } }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { - "description": "Grounding support.", + "TransferOwnershipResponse": { + "description": "Response from `TransferOwnership`.", + "type": "object", + "properties": {} + }, + "Tool": { "type": "object", "properties": { - "groundingChunkIndices": { + "functionDeclarations": { "type": "array", "items": { - "type": "integer", - "format": "int32" + "$ref": "#/components/schemas/FunctionDeclaration" }, - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order)." + "description": "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." }, - "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, + "mcpServers": { "type": "array", "items": { - "type": "integer", - "format": "int32" - } + "$ref": "#/components/schemas/McpServer" + }, + "description": "Optional. MCP Servers to connect to." }, - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + "googleSearch": { + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "$ref": "#/components/schemas/GoogleSearch" }, - "confidenceScores": { - "type": "array", - "items": { - "type": "number", - "format": "float" - }, - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices." - } - } - }, - "CitationSource": { - "type": "object", - "properties": { - "uri": { - "type": "string", - "description": "Optional. URI that is attributed as a source for a portion of the text." + "codeExecution": { + "description": "Optional. Enables the model to execute code as part of generation.", + "$ref": "#/components/schemas/CodeExecution" }, - "license": { - "type": "string", - "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations." + "computerUse": { + "$ref": "#/components/schemas/ComputerUse", + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations." }, - "startIndex": { - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", - "type": "integer", - "format": "int32" + "fileSearch": { + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", + "$ref": "#/components/schemas/FileSearch" }, - "endIndex": { - "type": "integer", - "format": "int32", - "description": "Optional. End of the attributed segment, exclusive." + "googleSearchRetrieval": { + "$ref": "#/components/schemas/GoogleSearchRetrieval", + "description": "Optional. Retrieval tool that is powered by Google search." + }, + "googleMaps": { + "$ref": "#/components/schemas/GoogleMaps", + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query." + }, + "urlContext": { + "$ref": "#/components/schemas/UrlContext", + "description": "Optional. Tool to support URL context retrieval." } }, - "description": "A citation to a source for a portion of a specific response." + "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16" }, - "SpeechConfig": { - "description": "Config for speech generation and transcription.", + "Operation": { "type": "object", "properties": { - "voiceConfig": { - "$ref": "#/components/schemas/VoiceConfig", - "description": "The configuration in case of single-voice output." + "metadata": { + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } }, - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" }, - "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`.", + "response": { + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "done": { + "type": "boolean", + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available." + }, + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", "type": "string" } - } + }, + "description": "This resource represents a long-running operation that is the result of a network API call." }, - "File": { + "BatchEmbedContentsResponse": { "type": "object", "properties": { - "name": { - "type": "string", - "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`" - }, - "downloadUri": { - "description": "Output only. The download uri of the `File`.", + "embeddings": { + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", "readOnly": true, - "type": "string" - }, - "videoMetadata": { - "$ref": "#/components/schemas/VideoFileMetadata", - "description": "Output only. Metadata for a video.", - "readOnly": true - }, - "source": { - "type": "string", - "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" - ], - "description": "Source of the File.", - "x-enum-descriptions": [ - "Used if source is not specified.", - "Indicates the file is uploaded by the user.", - "Indicates the file is generated by Google.", - "Indicates the file is a registered, i.e. a Google Cloud Storage file." - ] - }, - "sizeBytes": { - "type": "string", - "format": "int64", - "description": "Output only. Size of the file in bytes.", - "readOnly": true - }, - "createTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` was created.", - "readOnly": true - }, - "displayName": { - "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: \"Welcome Image\"", - "type": "string" + "type": "array", + "items": { + "$ref": "#/components/schemas/ContentEmbedding" + } }, - "error": { - "description": "Output only. Error status if File processing failed.", + "usageMetadata": { "readOnly": true, - "$ref": "#/components/schemas/Status" - }, - "updateTime": { + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "description": "Output only. The usage metadata for the request." + } + }, + "description": "The response to a `BatchEmbedContentsRequest`." + }, + "TuningExample": { + "type": "object", + "properties": { + "textInput": { "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` was last updated.", - "readOnly": true - }, - "mimeType": { - "description": "Output only. MIME type of the file.", - "readOnly": true, - "type": "string" + "description": "Optional. Text model input." }, - "uri": { - "description": "Output only. The uri of the `File`.", - "readOnly": true, + "output": { + "description": "Required. The expected model output.", "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.", - "readOnly": true - }, - "state": { - "readOnly": true, - "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." - ], - "type": "string", - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ] - }, - "sha256Hash": { - "type": "string", - "format": "byte", - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "readOnly": true } }, - "description": "A file uploaded to the API. Next ID: 15" + "description": "A single example for tuning." }, - "ImageConfig": { + "LatLng": { "type": "object", "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." + "latitude": { + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "format": "double", + "type": "number" }, - "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`." + "longitude": { + "type": "number", + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "format": "double" } }, - "description": "Config for image generation features." + "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." }, - "StreamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "Hyperparameters": { + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", "type": "object", "properties": { - "sseReadTimeout": { - "description": "Timeout for SSE read operations.", - "type": "string", - "format": "google-duration" + "learningRate": { + "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", + "format": "float", + "type": "number" }, - "headers": { - "type": "object", - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "additionalProperties": { - "type": "string" - } + "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.", + "format": "float", + "type": "number" }, - "terminateOnClose": { - "description": "Whether to close the client session when the transport closes.", - "type": "boolean" + "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.", + "format": "int32", + "type": "integer" }, - "url": { - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", - "type": "string" + "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.", + "format": "int32", + "type": "integer" + } + } + }, + "WhiteSpaceConfig": { + "description": "Configuration for a white space chunking algorithm [white space delimited].", + "type": "object", + "properties": { + "maxTokensPerChunk": { + "type": "integer", + "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", + "format": "int32" }, - "timeout": { - "description": "HTTP timeout for regular operations.", - "type": "string", - "format": "google-duration" + "maxOverlapTokens": { + "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "format": "int32", + "type": "integer" } } }, - "GroundingMetadata": { + "UploadToFileSearchStoreRequest": { "type": "object", "properties": { - "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.", + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", "type": "string" }, - "groundingChunks": { - "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", + "displayName": { + "description": "Optional. Display name of the created document.", + "type": "string" + }, + "customMetadata": { + "description": "Custom metadata to be associated with the data.", "type": "array", "items": { - "$ref": "#/components/schemas/GroundingChunk" + "$ref": "#/components/schemas/CustomMetadata" } }, - "webSearchQueries": { - "type": "array", - "items": { - "type": "string" + "chunkingConfig": { + "$ref": "#/components/schemas/ChunkingConfig", + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters." + } + }, + "description": "Request for `UploadToFileSearchStore`." + }, + "InlinedRequest": { + "type": "object", + "properties": { + "metadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." }, - "description": "Web search queries for the following-up web search." + "description": "Optional. The metadata to be associated with the request." }, - "searchEntryPoint": { - "$ref": "#/components/schemas/SearchEntryPoint", - "description": "Optional. Google search entry for the following-up web searches." + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" + } + }, + "description": "The request to be processed in the batch." + }, + "CustomMetadata": { + "type": "object", + "properties": { + "stringValue": { + "description": "The string value of the metadata to store.", + "type": "string" }, - "imageSearchQueries": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Image search queries used for grounding." + "stringListValue": { + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" }, - "retrievalMetadata": { - "$ref": "#/components/schemas/RetrievalMetadata", - "description": "Metadata related to retrieval in the grounding flow." + "numericValue": { + "type": "number", + "description": "The numeric value of the metadata to store.", + "format": "float" }, - "groundingSupports": { - "description": "List of grounding support.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" - } + "key": { + "description": "Required. The key of the metadata to store.", + "type": "string" } }, - "description": "Metadata returned to client when grounding is enabled." + "description": "User provided metadata stored as key-value pairs." }, - "EmbedContentBatch": { - "description": "A resource representing a batch of `EmbedContent` requests.", + "CreateFileResponse": { "type": "object", "properties": { - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" + } + }, + "description": "Response for `CreateFile`." + }, + "File": { + "description": "A file uploaded to the API. Next ID: 15", + "type": "object", + "properties": { + "videoMetadata": { + "description": "Output only. Metadata for a video.", + "readOnly": true, + "$ref": "#/components/schemas/VideoFileMetadata" }, - "createTime": { + "uri": { + "readOnly": true, "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch was created.", - "readOnly": true + "description": "Output only. The uri of the `File`." }, - "batchStats": { - "$ref": "#/components/schemas/EmbedContentBatchStats", - "description": "Output only. Stats about the batch.", - "readOnly": true + "error": { + "readOnly": true, + "$ref": "#/components/schemas/Status", + "description": "Output only. Error status if File processing failed." }, - "displayName": { - "description": "Required. The user-defined name of this batch.", - "type": "string" - }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "type": "string", - "format": "int64" - }, - "state": { + "expirationTime": { "readOnly": true, - "description": "Output only. The state of the batch.", - "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ], - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ], - "type": "string" + "type": "string", + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "format": "google-datetime" }, - "endTime": { - "description": "Output only. The time at which the batch processing completed.", + "downloadUri": { "readOnly": true, "type": "string", - "format": "google-datetime" + "description": "Output only. The download uri of the `File`." }, - "output": { - "$ref": "#/components/schemas/EmbedContentBatchOutput", - "description": "Output only. The output of the batch request.", - "readOnly": true + "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\"" }, - "updateTime": { - "description": "Output only. The time at which the batch was last updated.", + "sha256Hash": { "readOnly": true, "type": "string", - "format": "google-datetime" - }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" + "description": "Output only. SHA-256 hash of the uploaded bytes.", + "format": "byte" }, - "name": { - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "updateTime": { + "description": "Output only. The timestamp of when the `File` was last updated.", + "format": "google-datetime", "readOnly": true, "type": "string" - } - } - }, - "TunedModelSource": { - "description": "Tuned model as a source for training a new model.", - "type": "object", - "properties": { - "baseModel": { - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", + }, + "sizeBytes": { + "description": "Output only. Size of the file in bytes.", + "format": "int64", "readOnly": true, "type": "string" }, - "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`" - } - } - }, - "CachedContentUsageMetadata": { - "description": "Metadata on the usage of the cached content.", - "type": "object", - "properties": { - "totalTokenCount": { - "description": "Total number of tokens that the cached content consumes.", - "type": "integer", - "format": "int32" - } - } - }, - "ToolResponse": { - "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", - "type": "object", - "properties": { - "id": { - "description": "Optional. The identifier of the tool call this response is for.", + "createTime": { + "description": "Output only. The timestamp of when the `File` was created.", + "format": "google-datetime", + "readOnly": true, "type": "string" }, - "toolType": { + "state": { + "description": "Output only. Processing state of the File.", + "readOnly": true, "type": "string", "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" ], - "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." + "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." ] }, - "response": { - "type": "object", - "description": "Optional. The tool response.", - "additionalProperties": { - "description": "Properties of the object." - } - } - } - }, - "VoiceConfig": { - "description": "The configuration for the voice to use.", - "type": "object", - "properties": { - "prebuiltVoiceConfig": { - "$ref": "#/components/schemas/PrebuiltVoiceConfig", - "description": "The configuration for the prebuilt voice to use." - } - } - }, - "ListGeneratedFilesResponse": { - "description": "Response for `ListGeneratedFiles`.", - "type": "object", - "properties": { - "nextPageToken": { + "mimeType": { + "description": "Output only. MIME type of the file.", + "readOnly": true, + "type": "string" + }, + "name": { "type": "string", - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call." + "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`" }, - "generatedFiles": { - "description": "The list of `GeneratedFile`s.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GeneratedFile" - } + "source": { + "description": "Source of the File.", + "type": "string", + "enum": [ + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" + ], + "x-enum-descriptions": [ + "Used if source is not specified.", + "Indicates the file is uploaded by the user.", + "Indicates the file is generated by Google.", + "Indicates the file is a registered, i.e. a Google Cloud Storage file." + ] } } }, "Corpus": { "type": "object", "properties": { - "displayName": { - "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", - "type": "string" - }, "name": { "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", "readOnly": true, "type": "string" }, - "createTime": { + "displayName": { "type": "string", - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "readOnly": true + "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\"" }, "updateTime": { + "readOnly": true, "type": "string", - "format": "google-datetime", "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "readOnly": true - } - }, - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora." - }, - "SemanticRetrieverChunk": { - "type": "object", - "properties": { - "source": { - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", - "readOnly": true, - "type": "string" + "format": "google-datetime" }, - "chunk": { - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "createTime": { "readOnly": true, - "type": "string" + "type": "string", + "description": "Output only. The Timestamp of when the `Corpus` was created.", + "format": "google-datetime" } }, - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`." + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora." }, - "TuningTask": { - "description": "Tuning tasks that create tuned models.", + "UsageMetadata": { + "description": "Metadata on the generation request's token usage.", "type": "object", "properties": { - "completeTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp when tuning this model completed.", - "readOnly": true + "cacheTokensDetails": { + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities of the cached content in the request input." }, - "trainingData": { - "$ref": "#/components/schemas/Dataset", - "description": "Required. Input only. Immutable. The model training data." + "promptTokenCount": { + "type": "integer", + "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", + "format": "int32" }, - "hyperparameters": { - "$ref": "#/components/schemas/Hyperparameters", - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used." + "candidatesTokenCount": { + "type": "integer", + "description": "Total number of tokens across all the generated response candidates.", + "format": "int32" }, - "snapshots": { - "description": "Output only. Metrics collected during tuning.", + "candidatesTokensDetails": { "readOnly": true, "type": "array", "items": { - "$ref": "#/components/schemas/TuningSnapshot" - } + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were returned in the response." }, - "startTime": { - "description": "Output only. The timestamp when tuning this model started.", + "toolUsePromptTokensDetails": { "readOnly": true, - "type": "string", - "format": "google-datetime" - } - } - }, - "CustomMetadata": { - "type": "object", - "properties": { - "stringListValue": { - "$ref": "#/components/schemas/StringList", - "description": "The StringList value of the metadata to store." - }, - "numericValue": { - "type": "number", - "format": "float", - "description": "The numeric value of the metadata to store." + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed for tool-use request inputs." }, - "key": { - "description": "Required. The key of the metadata to store.", - "type": "string" + "totalTokenCount": { + "description": "Total token count for the generation request (prompt + response candidates).", + "format": "int32", + "type": "integer" }, - "stringValue": { - "description": "The string value of the metadata to store.", - "type": "string" - } - }, - "description": "User provided metadata stored as key-value pairs." - }, - "MultiSpeakerVoiceConfig": { - "type": "object", - "properties": { - "speakerVoiceConfigs": { - "description": "Required. All the enabled speaker voices.", + "promptTokensDetails": { + "readOnly": true, "type": "array", "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input." + }, + "toolUsePromptTokenCount": { + "description": "Output only. Number of tokens present in tool-use prompt(s).", + "format": "int32", + "readOnly": true, + "type": "integer" + }, + "thoughtsTokenCount": { + "description": "Output only. Number of tokens of thoughts for thinking models.", + "format": "int32", + "readOnly": true, + "type": "integer" + }, + "cachedContentTokenCount": { + "description": "Number of tokens in the cached part of the prompt (the cached content)", + "format": "int32", + "type": "integer" + }, + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", + "readOnly": true + }, + "responseTokensDetails": { + "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" } } - }, - "description": "The configuration for the multi-speaker setup." + } }, - "Permission": { + "RetrievedContext": { + "description": "Chunk from context retrieved by the file search tool.", "type": "object", "properties": { - "name": { + "fileSearchStore": { "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 + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`" }, - "role": { - "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" - ], + "mediaId": { "type": "string", - "description": "Required. The role granted by this permission.", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Owner can use, update, share and delete the resource.", - "Writer can use, update and share the resource.", - "Reader can use the resource." - ] + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}" }, - "granteeType": { + "customMetadata": { + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + }, + "description": "Optional. User-provided metadata about the retrieved context." + }, + "pageNumber": { + "description": "Optional. Page number of the retrieved context, if applicable.", + "format": "int32", + "type": "integer" + }, + "title": { "type": "string", - "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" - ], - "description": "Optional. Immutable. The type of the grantee.", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Represents a user. When set, you must provide email_address for the user.", - "Represents a group. When set, you must provide email_address for the group.", - "Represents access to everyone. No extra information is required." - ] + "description": "Optional. Title of the document." }, - "emailAddress": { - "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE.", - "type": "string" + "uri": { + "type": "string", + "description": "Optional. URI reference of the semantic retrieval document." + }, + "text": { + "type": "string", + "description": "Optional. Text of the chunk." + } + } + }, + "CitationMetadata": { + "type": "object", + "properties": { + "citationSources": { + "type": "array", + "items": { + "$ref": "#/components/schemas/CitationSource" + }, + "description": "Citations to sources for a specific response." } }, - "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" + "description": "A collection of source attributions for a piece of content." }, - "GoogleMaps": { - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", + "TopCandidates": { + "description": "Candidates with top log probabilities at each decoding step.", "type": "object", "properties": { - "enableWidget": { - "type": "boolean", - "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response." + "candidates": { + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + }, + "description": "Sorted by log probability in descending order." } } }, - "ThinkingConfig": { - "description": "Config for thinking features.", + "ImageSearch": { + "type": "object", + "properties": {}, + "description": "Image search for grounding and related configurations." + }, + "CachedContentUsageMetadata": { "type": "object", "properties": { - "thinkingBudget": { - "description": "The number of thoughts tokens that the model should generate.", + "totalTokenCount": { "type": "integer", + "description": "Total number of tokens that the cached content consumes.", "format": "int32" - }, - "thinkingLevel": { - "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", - "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." - ], - "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" - ], - "type": "string" - }, - "includeThoughts": { - "type": "boolean", - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available." } - } + }, + "description": "Metadata on the usage of the cached content." }, - "LogprobsResult": { - "description": "Logprobs Result", + "MultiSpeakerVoiceConfig": { "type": "object", "properties": { - "chosenCandidates": { - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", - "type": "array", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - } - }, - "logProbabilitySum": { - "description": "Sum of log probabilities for all tokens.", - "type": "number", - "format": "float" - }, - "topCandidates": { + "speakerVoiceConfigs": { "type": "array", "items": { - "$ref": "#/components/schemas/TopCandidates" + "$ref": "#/components/schemas/SpeakerVoiceConfig" }, - "description": "Length = total number of decoding steps." + "description": "Required. All the enabled speaker voices." } - } + }, + "description": "The configuration for the multi-speaker setup." }, - "ExecutableCode": { + "GoogleSearchRetrieval": { "type": "object", "properties": { - "language": { - "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" - ], + "dynamicRetrievalConfig": { + "description": "Specifies the dynamic retrieval configuration for the given source.", + "$ref": "#/components/schemas/DynamicRetrievalConfig" + } + }, + "description": "Tool to retrieve public web data for grounding, powered by Google." + }, + "GoogleAiGenerativelanguageV1betaSegment": { + "type": "object", + "properties": { + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "format": "int32", + "type": "integer" + }, + "text": { "type": "string", - "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." - ] + "description": "The text corresponding to the segment from the response." }, - "code": { - "description": "Required. The code to be executed.", - "type": "string" + "startIndex": { + "type": "integer", + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", + "format": "int32" }, - "id": { - "type": "string", - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`." + "endIndex": { + "type": "integer", + "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", + "format": "int32" } }, - "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." + "description": "Segment of the content." }, - "PrebuiltVoiceConfig": { - "description": "The configuration for the prebuilt speaker to use.", + "BatchEmbedContentsRequest": { + "description": "Batch request to get embeddings from the model for a list of prompts.", "type": "object", "properties": { - "voiceName": { - "type": "string", - "description": "The name of the preset voice to use." + "requests": { + "type": "array", + "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`." } } }, - "GoogleSearch": { + "AsyncBatchEmbedContentRequest": { "type": "object", "properties": { - "timeRangeFilter": { - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", - "$ref": "#/components/schemas/Interval" - }, - "searchTypes": { - "$ref": "#/components/schemas/SearchTypes", - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default." + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/EmbedContentBatch" } }, - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." + "description": "Request for an `AsyncBatchEmbedContent` operation." }, - "ListDocumentsResponse": { - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "Model": { + "description": "Information about a Generative Language Model.", "type": "object", "properties": { - "documents": { - "description": "The returned `Document`s.", + "outputTokenLimit": { + "description": "Maximum number of output tokens available for this model.", + "format": "int32", + "type": "integer" + }, + "supportedGenerationMethods": { "type": "array", "items": { - "$ref": "#/components/schemas/Document" - } + "type": "string" + }, + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`." }, - "nextPageToken": { + "name": { "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." - } - } - }, - "VideoMetadata": { - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", - "type": "object", - "properties": { - "endOffset": { - "description": "Optional. The end offset of the video.", - "type": "string", - "format": "google-duration" + "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`" }, - "fps": { + "maxTemperature": { "type": "number", - "format": "double", - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]." + "description": "The maximum temperature this model can use.", + "format": "float" }, - "startOffset": { + "inputTokenLimit": { + "description": "Maximum number of input tokens allowed for this model.", + "format": "int32", + "type": "integer" + }, + "thinking": { + "description": "Whether the model supports thinking.", + "type": "boolean" + }, + "version": { "type": "string", - "format": "google-duration", - "description": "Optional. The start offset of the video." - } - }, - "deprecated": true - }, - "InputEmbedContentConfig": { - "type": "object", - "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)" + }, + "temperature": { + "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", + "format": "float", + "type": "number" + }, + "baseModelId": { + "type": "string", + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`" + }, + "description": { + "description": "A short description of the model.", "type": "string" }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" + "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" + }, + "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.", + "format": "int32", + "type": "integer" + }, + "topP": { + "type": "number", + "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", + "format": "float" } - }, - "description": "Configures the input to the batch request." + } }, - "ReviewSnippet": { + "Web": { "type": "object", "properties": { - "reviewId": { - "type": "string", - "description": "The ID of the review snippet." - }, - "googleMapsUri": { - "description": "A link that corresponds to the user review on Google Maps.", + "uri": { + "description": "Output only. URI reference of the chunk.", + "readOnly": true, "type": "string" }, "title": { - "description": "Title of the review.", + "description": "Output only. Title of the chunk.", + "readOnly": true, "type": "string" } }, - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps." + "description": "Chunk from the web." }, - "GenerateContentRequest": { - "description": "Request to generate a completion from the model.", + "CachedContent": { "type": "object", "properties": { - "model": { + "createTime": { + "readOnly": true, "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." + "description": "Output only. Creation time of the cache entry.", + "format": "google-datetime" }, - "safetySettings": { - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetySetting" - }, - "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications." + "displayName": { + "type": "string", + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters." }, - "toolConfig": { - "$ref": "#/components/schemas/ToolConfig", - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example." + "usageMetadata": { + "description": "Output only. Metadata on the usage of the cached content.", + "readOnly": true, + "$ref": "#/components/schemas/CachedContentUsageMetadata" }, - "store": { - "type": "boolean", - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config." + "updateTime": { + "description": "Output only. When the cache entry was last updated in UTC time.", + "format": "google-datetime", + "readOnly": true, + "type": "string" }, "tools": { "type": "array", "items": { "$ref": "#/components/schemas/Tool" }, - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more." + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response" }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" - }, - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" + "expireTime": { + "type": "string", + "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", + "format": "google-datetime" }, - "serviceTier": { - "description": "Optional. The service tier of the request.", - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ], - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ], + "ttl": { + "description": "Input only. New TTL for this resource, input only.", + "format": "google-duration", "type": "string" }, - "contents": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Content" - }, - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request." - }, - "cachedContent": { + "name": { + "readOnly": true, "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}`" - } - } - }, - "Model": { - "type": "object", - "properties": { - "inputTokenLimit": { - "type": "integer", - "format": "int32", - "description": "Maximum number of input tokens allowed for this model." + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`" }, - "baseModelId": { + "model": { "type": "string", - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`" - }, - "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" - }, - "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." - }, - "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" - }, - "outputTokenLimit": { - "type": "integer", - "format": "int32", - "description": "Maximum number of output tokens available for this model." - }, - "maxTemperature": { - "description": "The maximum temperature this model can use.", - "type": "number", - "format": "float" - }, - "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." - }, - "thinking": { - "type": "boolean", - "description": "Whether the model supports thinking." + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`" }, - "version": { - "type": "string", - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)" + "toolConfig": { + "$ref": "#/components/schemas/ToolConfig", + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools." }, - "supportedGenerationMethods": { - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", + "contents": { + "description": "Optional. Input only. Immutable. The content to cache.", "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/Content" } }, - "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." + "systemInstruction": { + "$ref": "#/components/schemas/Content", + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only." } }, - "description": "Information about a Generative Language Model." + "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for." }, - "TuningExample": { - "description": "A single example for tuning.", + "CountTokensRequest": { + "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", "type": "object", "properties": { - "textInput": { - "description": "Optional. Text model input.", - "type": "string" + "generateContentRequest": { + "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", + "$ref": "#/components/schemas/GenerateContentRequest" }, - "output": { - "description": "Required. The expected model output.", - "type": "string" + "contents": { + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + } } } }, - "GenerationConfig": { - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", + "RetrievalMetadata": { "type": "object", "properties": { - "temperature": { - "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", + "googleSearchDynamicRetrievalScore": { "type": "number", + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", "format": "float" + } + }, + "description": "Metadata related to retrieval in the grounding flow." + }, + "Part": { + "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "type": "object", + "properties": { + "toolCall": { + "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", + "$ref": "#/components/schemas/ToolCall" }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" }, - "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" + "executableCode": { + "description": "Code generated by the model that is meant to be executed.", + "$ref": "#/components/schemas/ExecutableCode" }, - "responseLogprobs": { - "description": "Optional. If true, export the logprobs results in response.", - "type": "boolean" + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" }, - "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" + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" }, - "thinkingConfig": { - "$ref": "#/components/schemas/ThinkingConfig", - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking." + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" }, - "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." + "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.", + "$ref": "#/components/schemas/FunctionResponse" }, - "stopSequences": { - "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", - "type": "array", - "items": { - "type": "string" - } - }, - "responseSchema": { - "$ref": "#/components/schemas/Schema", - "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." - }, - "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." - }, - "seed": { - "type": "integer", - "format": "int32", - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed." - }, - "enableEnhancedCivicAnswers": { - "type": "boolean", - "description": "Optional. Enables enhanced civic answers. It may not be available for all models." - }, - "topP": { - "type": "number", - "format": "float", - "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests." - }, - "mediaResolution": { + "thoughtSignature": { "type": "string", - "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ], - "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)." - ] + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "format": "byte" }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + "toolResponse": { + "$ref": "#/components/schemas/ToolResponse", + "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`." }, - "responseModalities": { - "type": "array", - "items": { - "x-enum-descriptions": [ - "Default value.", - "Indicates the model should return text.", - "Indicates the model should return images.", - "Indicates the model should return audio.", - "Indicates the model should return video." - ], - "type": "string", - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "AUDIO", - "VIDEO" - ] + "partMetadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." }, - "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text." + "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams." }, - "imageConfig": { - "$ref": "#/components/schemas/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." + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" }, - "topK": { - "type": "integer", - "format": "int32", - "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests." + "text": { + "type": "string", + "description": "Inline text." }, - "logprobs": { - "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", - "type": "integer", - "format": "int32" + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" }, - "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." + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" } } }, - "TunedModel": { - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", + "GoogleMaps": { "type": "object", "properties": { - "baseModel": { - "type": "string", - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`" + "enableWidget": { + "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", + "type": "boolean" + } + }, + "description": "The GoogleMaps Tool that provides geospatial context for the user's query." + }, + "EmbedContentRequest": { + "type": "object", + "properties": { + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" }, - "name": { - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", - "readOnly": true, - "type": "string" + "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}`" }, - "tunedModelSource": { - "$ref": "#/components/schemas/TunedModelSource", - "description": "Optional. TunedModel to use as the starting point for training the new model." + "taskType": { + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ], + "description": "Optional. 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, + "type": "string", + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ] }, - "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.", + "outputDimensionality": { "type": "integer", + "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", + "deprecated": true, "format": "int32" }, - "tuningTask": { - "$ref": "#/components/schemas/TuningTask", - "description": "Required. The tuning task that creates the tuned model." + "embedContentConfig": { + "$ref": "#/components/schemas/EmbedContentConfig", + "description": "Optional. Configuration for the EmbedContent request." }, - "createTime": { + "title": { + "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", + "deprecated": true, + "type": "string" + } + }, + "description": "Request containing the `Content` for the model to embed." + }, + "FunctionResponseBlob": { + "type": "object", + "properties": { + "data": { "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp when this model was created.", - "readOnly": true + "description": "Raw bytes for media formats.", + "format": "byte" }, - "displayName": { + "mimeType": { "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." - }, - "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" - }, - "readerProjectNumbers": { + "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)." + } + }, + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field." + }, + "FileSearch": { + "type": "object", + "properties": { + "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", - "format": "int64" - }, - "description": "Optional. List of project numbers that have read access to the tuned model." + "type": "string" + } }, - "updateTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp when this model was updated.", - "readOnly": true + "topK": { + "type": "integer", + "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "format": "int32" }, - "description": { - "description": "Optional. A short description of this model.", + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "type": "string" + } + }, + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API." + }, + "BatchStats": { + "type": "object", + "properties": { + "requestCount": { + "description": "Output only. The number of requests in the batch.", + "format": "int64", + "readOnly": true, "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." + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", + "format": "int64", + "readOnly": true, + "type": "string" }, - "state": { + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", + "format": "int64", + "readOnly": true, + "type": "string" + }, + "failedRequestCount": { "readOnly": true, - "description": "Output only. The state of the tuned model.", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "The model is being created.", - "The model is ready to be used.", - "The model failed to be created." - ], "type": "string", - "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" - ] + "description": "Output only. The number of requests that failed to be processed.", + "format": "int64" } - } + }, + "description": "Stats about the batch." }, - "Part": { + "SearchEntryPoint": { "type": "object", "properties": { - "text": { + "renderedContent": { "type": "string", - "description": "Inline text." - }, - "toolCall": { - "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", - "$ref": "#/components/schemas/ToolCall" + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview." }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" + "sdkBlob": { + "type": "string", + "description": "Optional. Base64 encoded JSON representing array of tuple.", + "format": "byte" + } + }, + "description": "Google search entry point." + }, + "InlinedResponse": { + "description": "The response to a single request in the batch.", + "type": "object", + "properties": { + "error": { + "description": "Output only. The error encountered while processing the request.", + "readOnly": true, + "$ref": "#/components/schemas/Status" }, - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" + "response": { + "readOnly": true, + "$ref": "#/components/schemas/GenerateContentResponse", + "description": "Output only. The response to the request." }, - "partMetadata": { + "metadata": { + "description": "Output only. The metadata associated with the request.", + "readOnly": true, "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." } + } + } + }, + "ListGeneratedFilesResponse": { + "description": "Response for `ListGeneratedFiles`.", + "type": "object", + "properties": { + "generatedFiles": { + "type": "array", + "items": { + "$ref": "#/components/schemas/GeneratedFile" + }, + "description": "The list of `GeneratedFile`s." }, - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" - }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" - }, - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" - }, - "thought": { - "type": "boolean", - "description": "Optional. Indicates if the part is thought from the model." - }, - "codeExecutionResult": { - "$ref": "#/components/schemas/CodeExecutionResult", - "description": "Result of executing the `ExecutableCode`." - }, - "functionResponse": { - "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", - "$ref": "#/components/schemas/FunctionResponse" - }, - "thoughtSignature": { + "nextPageToken": { "type": "string", - "format": "byte", - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests." + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call." + } + } + }, + "FunctionCall": { + "type": "object", + "properties": { + "args": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The function parameters and values in JSON object format." }, - "toolResponse": { - "$ref": "#/components/schemas/ToolResponse", - "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`." + "id": { + "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", + "type": "string" }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" + "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" } }, - "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." + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values." }, - "McpServer": { - "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", + "SpeakerVoiceConfig": { + "description": "The configuration for a single speaker in a multi speaker setup.", "type": "object", "properties": { - "streamableHttpTransport": { - "$ref": "#/components/schemas/StreamableHttpTransport", - "description": "A transport that can stream HTTP requests and responses." - }, - "name": { + "speaker": { "type": "string", - "description": "The name of the MCPServer." + "description": "Required. The name of the speaker to use. Should be the same as in the prompt." + }, + "voiceConfig": { + "$ref": "#/components/schemas/VoiceConfig", + "description": "Required. The configuration for the voice to use." + } + } + }, + "AttributionSourceId": { + "description": "Identifier for the source contributing to this attribution.", + "type": "object", + "properties": { + "semanticRetrieverChunk": { + "$ref": "#/components/schemas/SemanticRetrieverChunk", + "description": "Identifier for a `Chunk` fetched via Semantic Retriever." + }, + "groundingPassage": { + "$ref": "#/components/schemas/GroundingPassageId", + "description": "Identifier for an inline passage." } } }, @@ -3913,273 +3793,353 @@ "type": "object", "properties": { "token": { - "type": "string", - "description": "The candidate\u2019s token string value." + "description": "The candidate\u2019s token string value.", + "type": "string" + }, + "logProbability": { + "description": "The candidate's log probability.", + "format": "float", + "type": "number" }, "tokenId": { - "description": "The candidate\u2019s token id value.", "type": "integer", + "description": "The candidate\u2019s token id value.", "format": "int32" - }, - "logProbability": { - "description": "The candidate's log probability.", - "type": "number", - "format": "float" } }, "description": "Candidate for the logprobs token and score." }, - "CachedContent": { + "ModalityTokenCount": { + "description": "Represents token counting info for a single modality.", "type": "object", "properties": { - "displayName": { - "type": "string", - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters." - }, - "contents": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Content" - }, - "description": "Optional. Input only. Immutable. The content to cache." - }, - "usageMetadata": { - "$ref": "#/components/schemas/CachedContentUsageMetadata", - "description": "Output only. Metadata on the usage of the cached content.", - "readOnly": true - }, - "tools": { - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" - } - }, - "systemInstruction": { - "$ref": "#/components/schemas/Content", - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only." - }, - "createTime": { - "description": "Output only. Creation time of the cache entry.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "expireTime": { - "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", - "type": "string", - "format": "google-datetime" - }, - "ttl": { - "description": "Input only. New TTL for this resource, input only.", + "modality": { "type": "string", - "format": "google-duration" + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" + ], + "description": "The modality associated with this token count.", + "x-enum-descriptions": [ + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." + ] }, - "toolConfig": { - "$ref": "#/components/schemas/ToolConfig", - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools." + "tokenCount": { + "description": "Number of tokens.", + "format": "int32", + "type": "integer" + } + } + }, + "DynamicRetrievalConfig": { + "description": "Describes the options to customize dynamic retrieval.", + "type": "object", + "properties": { + "dynamicThreshold": { + "type": "number", + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", + "format": "float" }, - "name": { + "mode": { + "x-enum-descriptions": [ + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." + ], "type": "string", - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "readOnly": true - }, - "model": { - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", - "type": "string" - }, - "updateTime": { - "description": "Output only. When the cache entry was last updated in UTC time.", - "readOnly": true, + "enum": [ + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" + ], + "description": "The mode of the predictor to be used in dynamic retrieval." + } + } + }, + "TransferOwnershipRequest": { + "description": "Request to transfer the ownership of the tuned model.", + "type": "object", + "properties": { + "emailAddress": { "type": "string", - "format": "google-datetime" + "description": "Required. The email address of the user to whom the tuned model is being transferred to." } - }, - "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." + } }, - "BatchGenerateContentRequest": { - "description": "Request for a `BatchGenerateContent` operation.", + "Blob": { + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", "type": "object", "properties": { - "batch": { - "$ref": "#/components/schemas/GenerateContentBatch", - "description": "Required. The batch to create." + "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": { + "description": "Raw bytes for media formats.", + "format": "byte", + "type": "string" } } }, - "ListFileSearchStoresResponse": { + "PlaceAnswerSources": { + "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", "type": "object", "properties": { - "fileSearchStores": { + "reviewSnippets": { "type": "array", "items": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/ReviewSnippet" }, - "description": "The returned rag_stores." - }, - "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." + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps." } - }, - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`." + } }, - "ToolConfig": { + "SearchTypes": { + "description": "Different types of search that can be enabled on the GoogleSearch tool.", "type": "object", "properties": { - "retrievalConfig": { - "$ref": "#/components/schemas/RetrievalConfig", - "description": "Optional. Retrieval config." - }, - "includeServerSideToolInvocations": { - "type": "boolean", - "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions." + "webSearch": { + "$ref": "#/components/schemas/WebSearch", + "description": "Optional. Enables web search. Only text results are returned." }, - "functionCallingConfig": { - "$ref": "#/components/schemas/FunctionCallingConfig", - "description": "Optional. Function calling config." + "imageSearch": { + "$ref": "#/components/schemas/ImageSearch", + "description": "Optional. Enables image search. Image bytes are returned." } - }, - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request." + } }, - "InlinedEmbedContentResponse": { + "Candidate": { "type": "object", "properties": { - "error": { - "$ref": "#/components/schemas/Status", - "description": "Output only. The error encountered while processing the request.", - "readOnly": true + "groundingMetadata": { + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "readOnly": true, + "$ref": "#/components/schemas/GroundingMetadata" }, - "response": { - "description": "Output only. The response to the request.", + "tokenCount": { "readOnly": true, - "$ref": "#/components/schemas/EmbedContentResponse" + "type": "integer", + "description": "Output only. Token count for this candidate.", + "format": "int32" }, - "metadata": { - "type": "object", - "description": "Output only. The metadata associated with the request.", + "urlContextMetadata": { "readOnly": true, - "additionalProperties": { - "description": "Properties of the object." + "$ref": "#/components/schemas/UrlContextMetadata", + "description": "Output only. Metadata related to url context retrieval tool." + }, + "index": { + "description": "Output only. Index of the candidate in the list of response candidates.", + "format": "int32", + "readOnly": true, + "type": "integer" + }, + "safetyRatings": { + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetyRating" + } + }, + "content": { + "readOnly": true, + "$ref": "#/components/schemas/Content", + "description": "Output only. Generated content returned from the model." + }, + "finishReason": { + "readOnly": true, + "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" + ], + "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." + ] + }, + "citationMetadata": { + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", + "readOnly": true, + "$ref": "#/components/schemas/CitationMetadata" + }, + "logprobsResult": { + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "readOnly": true, + "$ref": "#/components/schemas/LogprobsResult" + }, + "groundingAttributions": { + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingAttribution" } + }, + "finishMessage": { + "readOnly": true, + "type": "string", + "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set." + }, + "avgLogprobs": { + "readOnly": true, + "type": "number", + "description": "Output only. Average log probability score of the candidate.", + "format": "double" } }, - "description": "The response to a single request in the batch." + "description": "A response candidate generated from the model." }, - "RegisterFilesRequest": { + "StringList": { "type": "object", "properties": { - "uris": { - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "values": { + "description": "The string values of the metadata to store.", "type": "array", "items": { "type": "string" } } }, - "description": "Request for `RegisterFiles`." + "description": "User provided string values assigned to a single metadata key." }, - "GenerateContentBatch": { + "Empty": { + "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", + "type": "object", + "properties": {} + }, + "InlinedEmbedContentRequest": { + "type": "object", + "properties": { + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + }, + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/EmbedContentRequest" + } + }, + "description": "The request to be processed in the batch." + }, + "Document": { + "description": "A `Document` is a collection of `Chunk`s.", "type": "object", "properties": { + "createTime": { + "description": "Output only. The Timestamp of when the `Document` was created.", + "format": "google-datetime", + "readOnly": true, + "type": "string" + }, "state": { + "description": "Output only. Current state of the `Document`.", "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", "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" + ], + "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." ] }, - "endTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch processing completed.", - "readOnly": true - }, - "inputConfig": { - "$ref": "#/components/schemas/InputConfig", - "description": "Required. Input configuration of the instances on which batch processing are performed." - }, - "createTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch was created.", - "readOnly": true - }, - "batchStats": { - "$ref": "#/components/schemas/BatchStats", - "description": "Output only. Stats about the batch.", - "readOnly": true - }, "displayName": { "type": "string", - "description": "Required. The user-defined name of this batch." + "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\"" }, - "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.", + "mimeType": { + "readOnly": true, "type": "string", - "format": "int64" + "description": "Output only. The mime type of the Document." + }, + "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": { + "$ref": "#/components/schemas/CustomMetadata" + } }, "updateTime": { - "description": "Output only. The time at which the batch was last updated.", "readOnly": true, "type": "string", + "description": "Output only. The Timestamp of when the `Document` was last updated.", "format": "google-datetime" }, - "model": { - "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." - }, "name": { - "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "readOnly": true + "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`", + "type": "string" }, - "output": { - "description": "Output only. The output of the batch request.", + "sizeBytes": { "readOnly": true, - "$ref": "#/components/schemas/GenerateContentBatchOutput" + "type": "string", + "description": "Output only. The size of raw bytes ingested into the Document.", + "format": "int64" } - }, - "description": "A resource representing a batch of `GenerateContent` requests." + } }, - "Web": { - "description": "Chunk from the web.", + "GroundingChunk": { + "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", "type": "object", "properties": { - "uri": { - "description": "Output only. URI reference of the chunk.", - "readOnly": true, - "type": "string" + "image": { + "description": "Optional. Grounding chunk from image search.", + "$ref": "#/components/schemas/Image" }, - "title": { - "type": "string", - "description": "Output only. Title of the chunk.", - "readOnly": true - } - } - }, - "GroundingChunk": { - "type": "object", - "properties": { "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" + "$ref": "#/components/schemas/Web", + "description": "Grounding chunk from the web." }, "retrievedContext": { "$ref": "#/components/schemas/RetrievedContext", @@ -4188,86 +4148,52 @@ "maps": { "$ref": "#/components/schemas/Maps", "description": "Optional. Grounding chunk from Google Maps." - }, - "image": { - "$ref": "#/components/schemas/Image", - "description": "Optional. Grounding chunk from image search." - } - }, - "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." - }, - "CreateFileResponse": { - "description": "Response for `CreateFile`.", - "type": "object", - "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" } } }, - "TuningExamples": { - "type": "object", - "properties": { - "examples": { - "type": "array", - "items": { - "$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." - } - }, - "description": "A set of tuning examples. Can be training or validation data." - }, - "UrlContext": { - "description": "Tool to support URL context retrieval.", - "type": "object", - "properties": {} - }, - "Hyperparameters": { - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "CustomLongRunningOperation": { "type": "object", "properties": { - "learningRate": { - "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", - "type": "number", - "format": "float" + "error": { + "$ref": "#/components/schemas/Status", + "description": "The error result of the operation in case of failure or cancellation." }, - "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." + "response": { + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } }, - "batchSize": { - "type": "integer", - "format": "int32", - "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples." + "metadata": { + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } }, - "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" + "done": { + "type": "boolean", + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available." + }, + "name": { + "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}`." } } }, - "SpeakerVoiceConfig": { + "RegisterFilesRequest": { "type": "object", "properties": { - "speaker": { - "type": "string", - "description": "Required. The name of the speaker to use. Should be the same as in the prompt." - }, - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" + "uris": { + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "type": "array", + "items": { + "type": "string" + } } }, - "description": "The configuration for a single speaker in a multi speaker setup." - }, - "CodeExecution": { - "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", - "type": "object", - "properties": {} + "description": "Request for `RegisterFiles`." }, "UrlContextMetadata": { "type": "object", @@ -4282,212 +4208,366 @@ }, "description": "Metadata related to url context retrieval tool." }, - "InputConfig": { - "description": "Configures the input to the batch request.", + "ListFileSearchStoresResponse": { "type": "object", "properties": { - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedRequests" + "fileSearchStores": { + "type": "array", + "items": { + "$ref": "#/components/schemas/FileSearchStore" + }, + "description": "The returned rag_stores." }, - "fileName": { - "description": "The name of the `File` containing the input requests.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" } - } + }, + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`." }, - "RegisterFilesResponse": { - "description": "Response for `RegisterFiles`.", + "ChunkingConfig": { + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", "type": "object", "properties": { - "files": { - "type": "array", - "items": { - "$ref": "#/components/schemas/File" - }, - "description": "The registered files to be used when calling GenerateContent." + "whiteSpaceConfig": { + "$ref": "#/components/schemas/WhiteSpaceConfig", + "description": "White space chunking configuration." } } }, - "GroundingChunkStringList": { + "ListOperationsResponse": { "type": "object", "properties": { - "values": { - "description": "The string values of the list.", + "operations": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Operation" + }, + "description": "A list of operations that matches the specified filter in the request." + }, + "nextPageToken": { + "type": "string", + "description": "The standard List next-page token." + }, + "unreachable": { "type": "array", "items": { "type": "string" - } + }, + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations." } }, - "description": "A list of string values." + "description": "The response message for Operations.ListOperations." }, - "BatchStats": { - "description": "Stats about the batch.", + "ExecutableCode": { "type": "object", "properties": { - "pendingRequestCount": { - "description": "Output only. The number of requests that are still pending processing.", - "readOnly": true, - "type": "string", - "format": "int64" + "id": { + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", + "type": "string" }, - "successfulRequestCount": { + "language": { + "description": "Required. Programming language of the `code`.", "type": "string", - "format": "int64", - "description": "Output only. The number of requests that were successfully processed.", - "readOnly": true + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ], + "x-enum-descriptions": [ + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." + ] }, - "failedRequestCount": { - "description": "Output only. The number of requests that failed to be processed.", - "readOnly": true, - "type": "string", - "format": "int64" + "code": { + "description": "Required. The code to be executed.", + "type": "string" + } + }, + "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated." + }, + "ImageConfig": { + "description": "Config for image generation features.", + "type": "object", + "properties": { + "aspectRatio": { + "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided.", + "type": "string" }, - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "readOnly": true, - "type": "string", - "format": "int64" + "imageSize": { + "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", + "type": "string" } } }, - "ContentEmbedding": { + "Interval": { "type": "object", "properties": { - "values": { - "type": "array", - "items": { - "type": "number", - "format": "float" - }, - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls." + "startTime": { + "type": "string", + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", + "format": "google-datetime" }, - "shape": { - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", - "type": "array", - "items": { - "type": "integer", - "format": "int32" - } + "endTime": { + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", + "format": "google-datetime", + "type": "string" } }, - "description": "A list of floats representing an embedding." + "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." }, - "WhiteSpaceConfig": { - "description": "Configuration for a white space chunking algorithm [white space delimited].", + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", "type": "object", "properties": { - "maxTokensPerChunk": { - "type": "integer", - "format": "int32", - "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow." + "retrievalConfig": { + "$ref": "#/components/schemas/RetrievalConfig", + "description": "Optional. Retrieval config." }, - "maxOverlapTokens": { - "type": "integer", - "format": "int32", - "description": "Maximum number of overlapping tokens between two adjacent chunks." + "includeServerSideToolInvocations": { + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", + "type": "boolean" + }, + "functionCallingConfig": { + "description": "Optional. Function calling config.", + "$ref": "#/components/schemas/FunctionCallingConfig" } } }, - "EmbedContentConfig": { - "description": "Configurations for the EmbedContent request.", + "FunctionDeclaration": { "type": "object", "properties": { - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", - "type": "boolean" + "description": { + "description": "Required. A brief description of the function.", + "type": "string" }, - "documentOcr": { - "description": "Optional. Whether to enable OCR for document content.", - "type": "boolean" + "parameters": { + "$ref": "#/components/schemas/Schema", + "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." }, - "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" + "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`." }, - "title": { - "description": "Optional. The title for the text.", - "type": "string" + "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." }, - "taskType": { - "description": "Optional. The task type of the embedding.", + "behavior": { "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." + "This value is unused.", + "If set, the system will wait to receive the function response before continuing the conversation.", + "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." ], + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", + "type": "string", "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ], - "type": "string" + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" + ] }, - "audioTrackExtraction": { - "type": "boolean", - "description": "Optional. Whether to extract audio from video content." + "parametersJsonSchema": { + "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." + }, + "response": { + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", + "$ref": "#/components/schemas/Schema" + } + }, + "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client." + }, + "GroundingMetadata": { + "description": "Metadata returned to client when grounding is enabled.", + "type": "object", + "properties": { + "imageSearchQueries": { + "description": "Image search queries used for grounding.", + "type": "array", + "items": { + "type": "string" + } + }, + "webSearchQueries": { + "description": "Web search queries for the following-up web search.", + "type": "array", + "items": { + "type": "string" + } + }, + "searchEntryPoint": { + "$ref": "#/components/schemas/SearchEntryPoint", + "description": "Optional. Google search entry for the following-up web searches." + }, + "retrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "$ref": "#/components/schemas/RetrievalMetadata" + }, + "groundingSupports": { + "type": "array", + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + }, + "description": "List of grounding support." + }, + "groundingChunks": { + "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunk" + } + }, + "googleMapsWidgetContextToken": { + "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", + "type": "string" } } }, - "ListFilesResponse": { + "TuningExamples": { + "description": "A set of tuning examples. Can be training or validation data.", "type": "object", "properties": { - "files": { + "examples": { "type": "array", "items": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/TuningExample" }, - "description": "The list of `File`s." + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type." + } + } + }, + "SpeechConfig": { + "description": "Config for speech generation and transcription.", + "type": "object", + "properties": { + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" }, - "nextPageToken": { - "type": "string", - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call." + "multiSpeakerVoiceConfig": { + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" + }, + "languageCode": { + "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", + "type": "string" } - }, - "description": "Response for `ListFiles`." + } }, - "EmbeddingUsageMetadata": { - "description": "Metadata on the usage of the embedding request.", + "GenerateContentBatch": { + "description": "A resource representing a batch of `GenerateContent` requests.", "type": "object", "properties": { - "promptTokenCount": { - "description": "Output only. Number of tokens in the prompt.", + "priority": { + "type": "string", + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "format": "int64" + }, + "model": { + "type": "string", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." + }, + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputConfig" + }, + "endTime": { + "description": "Output only. The time at which the batch processing completed.", + "format": "google-datetime", "readOnly": true, - "type": "integer", - "format": "int32" + "type": "string" }, - "promptTokenDetails": { + "createTime": { + "readOnly": true, + "type": "string", + "description": "Output only. The time at which the batch was created.", + "format": "google-datetime" + }, + "state": { + "x-enum-descriptions": [ + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." + ], + "readOnly": true, + "type": "string", + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ], + "description": "Output only. The state of the batch." + }, + "displayName": { + "type": "string", + "description": "Required. The user-defined name of this batch." + }, + "batchStats": { + "readOnly": true, + "$ref": "#/components/schemas/BatchStats", + "description": "Output only. Stats about the batch." + }, + "output": { + "description": "Output only. The output of the batch request.", + "readOnly": true, + "$ref": "#/components/schemas/GenerateContentBatchOutput" + }, + "updateTime": { + "readOnly": true, + "type": "string", + "description": "Output only. The time at which the batch was last updated.", + "format": "google-datetime" + }, + "name": { + "readOnly": true, + "type": "string", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." + } + } + }, + "TuningTask": { + "type": "object", + "properties": { + "trainingData": { + "$ref": "#/components/schemas/Dataset", + "description": "Required. Input only. Immutable. The model training data." + }, + "snapshots": { + "readOnly": true, "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/TuningSnapshot" }, - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true + "description": "Output only. Metrics collected during tuning." + }, + "hyperparameters": { + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", + "$ref": "#/components/schemas/Hyperparameters" + }, + "startTime": { + "readOnly": true, + "type": "string", + "description": "Output only. The timestamp when tuning this model started.", + "format": "google-datetime" + }, + "completeTime": { + "description": "Output only. The timestamp when tuning this model completed.", + "format": "google-datetime", + "readOnly": true, + "type": "string" } - } + }, + "description": "Tuning tasks that create tuned models." }, "FunctionResponse": { - "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", "type": "object", "properties": { - "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`." - }, "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" @@ -4496,416 +4576,434 @@ "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" }, - "response": { - "type": "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.", - "additionalProperties": { - "description": "Properties of the object." - } - }, - "parts": { - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", - "type": "array", - "items": { - "$ref": "#/components/schemas/FunctionResponsePart" - } - }, "scheduling": { - "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", "x-enum-descriptions": [ "This value is unused.", "Only add the result to the conversation context, do not interrupt or trigger generation.", "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." ], + "type": "string", "enum": [ "SCHEDULING_UNSPECIFIED", "SILENT", "WHEN_IDLE", "INTERRUPT" ], - "type": "string" - } - } - }, - "FileSearch": { - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", - "type": "object", - "properties": { - "topK": { - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "type": "integer", - "format": "int32" + "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE." }, - "fileSearchStoreNames": { - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", + "parts": { "type": "array", "items": { - "type": "string" - } + "$ref": "#/components/schemas/FunctionResponsePart" + }, + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types." }, - "metadataFilter": { - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", - "type": "string" + "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`." + }, + "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." } - } + }, + "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." }, - "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.", + "EmbedContentBatchStats": { "type": "object", "properties": { - "latitude": { - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", - "type": "number", - "format": "double" + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", + "format": "int64", + "readOnly": true, + "type": "string" }, - "longitude": { - "type": "number", - "format": "double", - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0]." - } - } - }, - "ListModelsResponse": { - "type": "object", - "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", + "format": "int64", + "readOnly": true, "type": "string" }, - "models": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Model" - }, - "description": "The returned Models." + "requestCount": { + "description": "Output only. The number of requests in the batch.", + "format": "int64", + "readOnly": true, + "type": "string" + }, + "successfulRequestCount": { + "readOnly": true, + "type": "string", + "description": "Output only. The number of requests that were successfully processed.", + "format": "int64" } }, - "description": "Response from `ListModel` containing a paginated list of Models." + "description": "Stats about the batch." }, - "GoogleAiGenerativelanguageV1betaSegment": { - "description": "Segment of the content.", + "PrebuiltVoiceConfig": { + "description": "The configuration for the prebuilt speaker to use.", "type": "object", "properties": { - "text": { - "description": "The text corresponding to the segment from the response.", + "voiceName": { + "description": "The name of the preset voice to use.", "type": "string" - }, - "startIndex": { - "type": "integer", - "format": "int32", - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero." - }, - "endIndex": { - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", - "type": "integer", - "format": "int32" - }, - "partIndex": { - "type": "integer", - "format": "int32", - "description": "The index of a Part object within its parent Content object." } } }, - "InlinedEmbedContentRequest": { - "description": "The request to be processed in the batch.", + "CitationSource": { "type": "object", "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" + "startIndex": { + "type": "integer", + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", + "format": "int32" }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" - } - } - }, - "GroundingChunkCustomMetadata": { - "description": "User provided metadata about the GroundingFact.", - "type": "object", - "properties": { - "stringValue": { - "description": "Optional. The string value of the metadata.", + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", "type": "string" }, - "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" - }, - "numericValue": { - "type": "number", - "format": "float", - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used." + "license": { + "type": "string", + "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations." }, - "key": { - "description": "The key of the metadata.", - "type": "string" + "endIndex": { + "description": "Optional. End of the attributed segment, exclusive.", + "format": "int32", + "type": "integer" } - } + }, + "description": "A citation to a source for a portion of a specific response." }, - "SearchTypes": { - "description": "Different types of search that can be enabled on the GoogleSearch tool.", + "StreamableHttpTransport": { "type": "object", "properties": { - "webSearch": { - "$ref": "#/components/schemas/WebSearch", - "description": "Optional. Enables web search. Only text results are returned." + "terminateOnClose": { + "type": "boolean", + "description": "Whether to close the client session when the transport closes." }, - "imageSearch": { - "$ref": "#/components/schemas/ImageSearch", - "description": "Optional. Enables image search. Image bytes are returned." - } - } - }, - "ImageSearch": { - "type": "object", - "properties": {}, - "description": "Image search for grounding and related configurations." - }, - "FunctionCall": { - "type": "object", - "properties": { - "args": { + "url": { + "type": "string", + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"" + }, + "headers": { + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", "type": "object", - "description": "Optional. The function parameters and values in JSON object format.", "additionalProperties": { - "description": "Properties of the object." + "type": "string" } }, - "id": { - "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", + "timeout": { + "description": "HTTP timeout for regular operations.", + "format": "google-duration", "type": "string" }, - "name": { + "sseReadTimeout": { "type": "string", - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128." + "description": "Timeout for SSE read operations.", + "format": "google-duration" } }, - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values." + "description": "A transport that can stream HTTP requests and responses. Next ID: 6" }, - "TopCandidates": { + "ListTunedModelsResponse": { + "description": "Response from `ListTunedModels` containing a paginated list of Models.", "type": "object", "properties": { - "candidates": { + "tunedModels": { "type": "array", "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" + "$ref": "#/components/schemas/TunedModel" }, - "description": "Sorted by log probability in descending order." + "description": "The returned Models." + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } - }, - "description": "Candidates with top log probabilities at each decoding step." + } }, - "CustomLongRunningOperation": { + "ComputerUse": { + "description": "Computer Use tool type.", "type": "object", "properties": { - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" - }, - "response": { - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "type": "object" - }, - "name": { + "environment": { + "x-enum-descriptions": [ + "Defaults to browser.", + "Operates in a web browser." + ], + "description": "Required. The environment being operated.", "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}`." - }, - "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" + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER" + ] }, - "metadata": { - "type": "object", - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "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." } } }, - "Blob": { + "EmbedContentConfig": { "type": "object", "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", - "type": "string" + "taskType": { + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ], + "type": "string", + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ], + "description": "Optional. The task type of the embedding." }, - "data": { - "description": "Raw bytes for media formats.", + "documentOcr": { + "type": "boolean", + "description": "Optional. Whether to enable OCR for document content." + }, + "audioTrackExtraction": { + "description": "Optional. Whether to extract audio from video content.", + "type": "boolean" + }, + "autoTruncate": { + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", + "type": "boolean" + }, + "outputDimensionality": { + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", + "format": "int32", + "type": "integer" + }, + "title": { "type": "string", - "format": "byte" + "description": "Optional. The title for the text." } }, - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field." + "description": "Configurations for the EmbedContent request." }, - "ListPermissionsResponse": { - "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "Content": { "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." - }, - "permissions": { - "description": "Returned permissions.", + "parts": { + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", "type": "array", "items": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Part" } - } - } - }, - "CountTokensResponse": { - "type": "object", - "properties": { - "totalTokens": { - "type": "integer", - "format": "int32", - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative." - }, - "cacheTokensDetails": { - "description": "Output only. List of modalities that were processed in the cached content.", - "readOnly": true, - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content).", - "type": "integer", - "format": "int32" - }, - "promptTokensDetails": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true + }, + "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." } }, - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`." - }, - "Empty": { - "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", - "type": "object", - "properties": {} - }, - "GoogleSearchRetrieval": { - "description": "Tool to retrieve public web data for grounding, powered by Google.", - "type": "object", - "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" - } - } + "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn." }, - "CitationMetadata": { + "ListDocumentsResponse": { "type": "object", "properties": { - "citationSources": { + "documents": { "type": "array", "items": { - "$ref": "#/components/schemas/CitationSource" + "$ref": "#/components/schemas/Document" }, - "description": "Citations to sources for a specific response." - } - }, - "description": "A collection of source attributions for a piece of content." - }, - "ChunkingConfig": { - "type": "object", - "properties": { - "whiteSpaceConfig": { - "$ref": "#/components/schemas/WhiteSpaceConfig", - "description": "White space chunking configuration." + "description": "The returned `Document`s." + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } }, - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto" + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`." }, - "ImportFileRequest": { + "GenerationConfig": { + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "type": "object", "properties": { - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", - "type": "string" + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", + "type": "boolean" }, - "customMetadata": { - "description": "Custom metadata to be associated with the file.", + "maxOutputTokens": { + "type": "integer", + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", + "format": "int32" + }, + "responseMimeType": { + "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." + }, + "mediaResolution": { + "description": "Optional. If specified, the media resolution specified will be used.", + "type": "string", + "enum": [ + "MEDIA_RESOLUTION_UNSPECIFIED", + "MEDIA_RESOLUTION_LOW", + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" + ], + "x-enum-descriptions": [ + "Media resolution has not been set.", + "Media resolution set to low (64 tokens).", + "Media resolution set to medium (256 tokens).", + "Media resolution set to high (zoomed reframing with 256 tokens)." + ] + }, + "responseSchema": { + "$ref": "#/components/schemas/Schema", + "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." + }, + "temperature": { + "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", + "format": "float", + "type": "number" + }, + "logprobs": { + "type": "integer", + "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", + "format": "int32" + }, + "topP": { + "type": "number", + "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "format": "float" + }, + "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.", + "format": "int32", + "type": "integer" + }, + "speechConfig": { + "$ref": "#/components/schemas/SpeechConfig", + "description": "Optional. The speech generation config." + }, + "frequencyPenalty": { + "type": "number", + "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", + "format": "float" + }, + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + }, + "seed": { + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", + "format": "int32", + "type": "integer" + }, + "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.", + "$ref": "#/components/schemas/ImageConfig" + }, + "responseLogprobs": { + "type": "boolean", + "description": "Optional. If true, export the logprobs results in response." + }, + "presencePenalty": { + "type": "number", + "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", + "format": "float" + }, + "candidateCount": { + "type": "integer", + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", + "format": "int32" + }, + "stopSequences": { + "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", "type": "array", "items": { - "$ref": "#/components/schemas/CustomMetadata" + "type": "string" } }, - "chunkingConfig": { - "$ref": "#/components/schemas/ChunkingConfig", - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters." + "thinkingConfig": { + "$ref": "#/components/schemas/ThinkingConfig", + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking." + }, + "responseModalities": { + "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", + "type": "array", + "items": { + "type": "string", + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "VIDEO" + ], + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ] + } } - }, - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`." + } }, - "ToolCall": { + "UrlMetadata": { "type": "object", "properties": { - "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." - ], + "retrievedUrl": { + "description": "Retrieved url by the tool.", + "type": "string" + }, + "urlRetrievalStatus": { + "description": "Status of the url retrieval.", "type": "string", "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" + ], + "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." ] - }, - "args": { - "type": "object", - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", - "additionalProperties": { - "description": "Properties of the object." - } - }, - "id": { - "type": "string", - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`." } }, - "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`." + "description": "Context of the a single url retrieval." }, "PromptFeedback": { "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", "type": "object", "properties": { + "safetyRatings": { + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetyRating" + }, + "description": "Ratings for safety of the prompt. There is at most one rating per category." + }, "blockReason": { - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", - "Prompt was blocked due to unknown reasons.", - "Prompt was blocked due to the terms which are included from the terminology blocklist.", - "Prompt was blocked due to prohibited content.", - "Candidates blocked due to unsafe image generation content." - ], + "type": "string", "enum": [ "BLOCK_REASON_UNSPECIFIED", "SAFETY", @@ -4914,1467 +5012,1327 @@ "PROHIBITED_CONTENT", "IMAGE_SAFETY" ], - "type": "string" - }, - "safetyRatings": { - "description": "Ratings for safety of the prompt. There is at most one rating per category.", - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetyRating" - } + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", + "Prompt was blocked due to unknown reasons.", + "Prompt was blocked due to the terms which are included from the terminology blocklist.", + "Prompt was blocked due to prohibited content.", + "Candidates blocked due to unsafe image generation content." + ] } } }, - "ModelStatus": { + "InlinedRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "type": "object", "properties": { - "retirementTime": { - "type": "string", - "format": "google-datetime", - "description": "The time at which the model will be retired." - }, - "modelStage": { - "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" - ], - "type": "string", - "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." - ], - "enumDeprecated": [ - false, - true, - false, - false, - false, - false, - true, - false - ] - }, - "message": { - "description": "A message explaining the model status.", - "type": "string" + "requests": { + "description": "Required. The requests to be processed in the batch.", + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedRequest" + } } - }, - "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable." + } }, - "GroundingPassageId": { - "description": "Identifier for a part within a `GroundingPassage`.", + "InputEmbedContentConfig": { "type": "object", "properties": { - "passageId": { - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", - "readOnly": true, + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" }, - "partIndex": { - "type": "integer", - "format": "int32", - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", - "readOnly": true - } - } - }, - "AsyncBatchEmbedContentRequest": { - "type": "object", - "properties": { - "batch": { - "$ref": "#/components/schemas/EmbedContentBatch", - "description": "Required. The batch to create." + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" } }, - "description": "Request for an `AsyncBatchEmbedContent` operation." - }, - "FunctionResponsePart": { - "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", - "type": "object", - "properties": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" - } - } + "description": "Configures the input to the batch request." }, - "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", + "GenerateContentResponse": { + "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", "type": "object", "properties": { - "googleMaps": { - "$ref": "#/components/schemas/GoogleMaps", - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query." - }, - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" - }, - "fileSearch": { - "$ref": "#/components/schemas/FileSearch", - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora." - }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" - }, - "mcpServers": { - "description": "Optional. MCP Servers to connect to.", + "candidates": { "type": "array", "items": { - "$ref": "#/components/schemas/McpServer" - } + "$ref": "#/components/schemas/Candidate" + }, + "description": "Candidate responses from the model." }, - "googleSearch": { - "$ref": "#/components/schemas/GoogleSearch", - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." + "responseId": { + "description": "Output only. response_id is used to identify each response.", + "readOnly": true, + "type": "string" }, - "googleSearchRetrieval": { - "$ref": "#/components/schemas/GoogleSearchRetrieval", - "description": "Optional. Retrieval tool that is powered by Google search." + "modelVersion": { + "description": "Output only. The model version used to generate the response.", + "readOnly": true, + "type": "string" }, - "functionDeclarations": { - "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", - "type": "array", - "items": { - "$ref": "#/components/schemas/FunctionDeclaration" - } + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" }, - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" + "usageMetadata": { + "description": "Output only. Metadata on the generation requests' token usage.", + "readOnly": true, + "$ref": "#/components/schemas/UsageMetadata" + }, + "modelStatus": { + "readOnly": true, + "$ref": "#/components/schemas/ModelStatus", + "description": "Output only. The current model status of this model." } } }, - "CountTokensRequest": { - "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", + "ReviewSnippet": { "type": "object", "properties": { - "generateContentRequest": { - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", - "$ref": "#/components/schemas/GenerateContentRequest" + "reviewId": { + "type": "string", + "description": "The ID of the review snippet." }, - "contents": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Content" - }, - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set." + "title": { + "type": "string", + "description": "Title of the review." + }, + "googleMapsUri": { + "type": "string", + "description": "A link that corresponds to the user review on Google Maps." } - } + }, + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps." }, - "FileSearchStore": { - "description": "A `FileSearchStore` is a collection of `Document`s.", + "EmbedContentBatch": { "type": "object", "properties": { - "createTime": { + "endTime": { + "readOnly": true, "type": "string", - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", - "readOnly": true + "description": "Output only. The time at which the batch processing completed.", + "format": "google-datetime" }, - "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" + "priority": { + "type": "string", + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "format": "int64" }, - "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, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" }, + "inputConfig": { + "$ref": "#/components/schemas/InputEmbedContentConfig", + "description": "Required. Input configuration of the instances on which batch processing are performed." + }, "updateTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", "readOnly": true, "type": "string", + "description": "Output only. The time at which the batch was last updated.", "format": "google-datetime" }, - "activeDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", + "name": { "readOnly": true, "type": "string", - "format": "int64" + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." }, - "pendingDocumentsCount": { - "type": "string", - "format": "int64", - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", - "readOnly": true + "createTime": { + "description": "Output only. The time at which the batch was created.", + "format": "google-datetime", + "readOnly": true, + "type": "string" }, - "failedDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "state": { + "description": "Output only. The state of the batch.", "readOnly": true, "type": "string", - "format": "int64" + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ], + "x-enum-descriptions": [ + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." + ] }, - "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, + "displayName": { "type": "string", - "format": "int64" + "description": "Required. The user-defined name of this batch." + }, + "batchStats": { + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentBatchStats", + "description": "Output only. Stats about the batch." + }, + "output": { + "description": "Output only. The output of the batch request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentBatchOutput" } - } + }, + "description": "A resource representing a batch of `EmbedContent` requests." }, - "SafetyRating": { + "TunedModel": { + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", "type": "object", "properties": { - "blocked": { - "type": "boolean", - "description": "Was this content blocked because of this rating?" + "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" }, - "category": { - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], - "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." + "topK": { + "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", + "format": "int32", + "type": "integer" + }, + "topP": { + "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", + "format": "float", + "type": "number" + }, + "description": { + "description": "Optional. A short description of this model.", + "type": "string" + }, + "updateTime": { + "description": "Output only. The timestamp when this model was updated.", + "format": "google-datetime", + "readOnly": true, + "type": "string" + }, + "temperature": { + "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", + "format": "float", + "type": "number" + }, + "baseModel": { + "type": "string", + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`" + }, + "state": { + "x-enum-descriptions": [ + "The default value. This value is unused.", + "The model is being created.", + "The model is ready to be used.", + "The model failed to be created." ], + "description": "Output only. The state of the tuned model.", + "readOnly": 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" + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" ] }, - "probability": { - "description": "Required. The probability of harm for this content.", + "createTime": { + "description": "Output only. The timestamp when this model was created.", + "format": "google-datetime", + "readOnly": true, + "type": "string" + }, + "name": { + "readOnly": true, + "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`" + }, + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" + }, + "readerProjectNumbers": { + "type": "array", + "items": { + "format": "int64", + "type": "string" + }, + "description": "Optional. List of project numbers that have read access to the tuned model." + }, + "tuningTask": { + "$ref": "#/components/schemas/TuningTask", + "description": "Required. The tuning task that creates the tuned model." + } + } + }, + "ThinkingConfig": { + "type": "object", + "properties": { + "thinkingBudget": { + "description": "The number of thoughts tokens that the model should generate.", + "format": "int32", + "type": "integer" + }, + "thinkingLevel": { "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." + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." ], + "type": "string", "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", "LOW", "MEDIUM", "HIGH" ], - "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." + }, + "includeThoughts": { + "type": "boolean", + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available." } }, - "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." + "description": "Config for thinking features." }, - "SafetySetting": { + "ModelStatus": { "type": "object", "properties": { - "threshold": { - "type": "string", - "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" - ], - "description": "Required. Controls the probability threshold at which harm is blocked.", + "modelStage": { "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." - ] - }, - "category": { + "Unspecified model stage.", + "The underlying model is subject to lots of tunings.", + "Models in this stage are for experimental purposes only.", + "Models in this stage are more mature than experimental models.", + "Models in this stage are considered stable and ready for production use.", + "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", + "Models in this stage are deprecated. These models cannot be used.", + "Models in this stage are retired. These models cannot be used." + ], "enumDeprecated": [ false, + true, false, false, false, false, - false, - false, - false, - false, - false, - false, - true + true, + false ], "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" + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" ], - "description": "Required. The category for this setting.", - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ] + "description": "The stage of the underlying model." + }, + "retirementTime": { + "type": "string", + "description": "The time at which the model will be retired.", + "format": "google-datetime" + }, + "message": { + "description": "A message explaining the model status.", + "type": "string" } }, - "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked." + "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable." }, - "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).", + "GroundingAttribution": { "type": "object", "properties": { - "message": { - "type": "string", - "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client." + "sourceId": { + "readOnly": true, + "$ref": "#/components/schemas/AttributionSourceId", + "description": "Output only. Identifier for the source contributing to this attribution." }, - "details": { - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", - "type": "array", - "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - } + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" + } + }, + "description": "Attribution for a source that contributed to an answer." + }, + "GenerateContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", + "type": "object", + "properties": { + "responsesFile": { + "readOnly": true, + "type": "string", + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." }, - "code": { - "description": "The status code, which should be an enum value of google.rpc.Code.", - "type": "integer", - "format": "int32" + "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, + "$ref": "#/components/schemas/InlinedResponses" } } }, - "FileData": { - "description": "URI based data.", + "ListPermissionsResponse": { + "description": "Response from `ListPermissions` containing a paginated list of permissions.", "type": "object", "properties": { - "fileUri": { + "nextPageToken": { "type": "string", - "description": "Required. URI." + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." }, - "mimeType": { - "type": "string", - "description": "Optional. The IANA standard MIME type of the source data." + "permissions": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Permission" + }, + "description": "Returned permissions." } } }, - "TuningSnapshot": { - "description": "Record for a single tuning step.", + "BatchGenerateContentRequest": { + "description": "Request for a `BatchGenerateContent` operation.", "type": "object", "properties": { - "step": { - "description": "Output only. The tuning step.", - "readOnly": true, - "type": "integer", - "format": "int32" - }, - "meanLoss": { - "type": "number", - "format": "float", - "description": "Output only. The mean loss of the training examples for this step.", - "readOnly": true - }, - "computeTime": { - "description": "Output only. The timestamp when this metric was computed.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "epoch": { - "type": "integer", - "format": "int32", - "description": "Output only. The epoch this step was part of.", - "readOnly": true + "batch": { + "$ref": "#/components/schemas/GenerateContentBatch", + "description": "Required. The batch to create." } } }, - "SearchEntryPoint": { + "CreateFileRequest": { "type": "object", "properties": { - "renderedContent": { - "type": "string", - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview." - }, - "sdkBlob": { - "type": "string", - "format": "byte", - "description": "Optional. Base64 encoded JSON representing array of tuple." + "file": { + "$ref": "#/components/schemas/File", + "description": "Optional. Metadata for the file to create." } }, - "description": "Google search entry point." + "description": "Request for `CreateFile`." }, - "Candidate": { + "InlinedResponses": { "type": "object", "properties": { - "groundingMetadata": { - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", - "readOnly": true, - "$ref": "#/components/schemas/GroundingMetadata" - }, - "tokenCount": { - "type": "integer", - "format": "int32", - "description": "Output only. Token count for this candidate.", - "readOnly": true - }, - "finishMessage": { - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", - "readOnly": true, - "type": "string" - }, - "index": { - "type": "integer", - "format": "int32", - "description": "Output only. Index of the candidate in the list of response candidates.", - "readOnly": true - }, - "finishReason": { - "readOnly": true, - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Natural stop point of the model or provided stop sequence.", - "The maximum number of tokens as specified in the request was reached.", - "The response candidate content was flagged for safety reasons.", - "The response candidate content was flagged for recitation reasons.", - "The response candidate content was flagged for using an unsupported language.", - "Unknown reason.", - "Token generation stopped because the content contains forbidden terms.", - "Token generation stopped for potentially containing prohibited content.", - "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", - "The function call generated by the model is invalid.", - "Token generation stopped because generated images contain safety violations.", - "Image generation stopped because generated images has other prohibited content.", - "Image generation stopped because of other miscellaneous issue.", - "The model was expected to generate an image, but none was generated.", - "Image generation stopped due to recitation.", - "Model generated a tool call but no tools were enabled in the request.", - "Model called too many tools consecutively, thus the system exited execution.", - "Request has at least one thought signature missing.", - "Finished due to malformed response." - ], - "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" - ] - }, - "groundingAttributions": { - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", - "readOnly": true, - "type": "array", - "items": { - "$ref": "#/components/schemas/GroundingAttribution" - } - }, - "logprobsResult": { - "$ref": "#/components/schemas/LogprobsResult", - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", - "readOnly": true - }, - "urlContextMetadata": { - "$ref": "#/components/schemas/UrlContextMetadata", - "description": "Output only. Metadata related to url context retrieval tool.", - "readOnly": true - }, - "content": { - "description": "Output only. Generated content returned from the model.", + "inlinedResponses": { "readOnly": true, - "$ref": "#/components/schemas/Content" - }, - "safetyRatings": { - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", "type": "array", "items": { - "$ref": "#/components/schemas/SafetyRating" - } - }, - "citationMetadata": { - "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", - "readOnly": true, - "$ref": "#/components/schemas/CitationMetadata" - }, - "avgLogprobs": { - "description": "Output only. Average log probability score of the candidate.", - "readOnly": true, - "type": "number", - "format": "double" + "$ref": "#/components/schemas/InlinedResponse" + }, + "description": "Output only. The responses to the requests in the batch." } }, - "description": "A response candidate generated from the model." + "description": "The responses to the requests in the batch." }, - "AttributionSourceId": { + "Dataset": { + "description": "Dataset for training or validation.", "type": "object", "properties": { - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" - }, - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" + "examples": { + "$ref": "#/components/schemas/TuningExamples", + "description": "Optional. Inline examples with simple input/output text." } - }, - "description": "Identifier for the source contributing to this attribution." + } }, - "ListCorporaResponse": { - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", + "SafetyRating": { + "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", "type": "object", "properties": { - "corpora": { - "description": "The returned corpora.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Corpus" - } + "probability": { + "x-enum-descriptions": [ + "Probability is unspecified.", + "Content has a negligible chance of being unsafe.", + "Content has a low chance of being unsafe.", + "Content has a medium chance of being unsafe.", + "Content has a high chance of being unsafe." + ], + "type": "string", + "enum": [ + "HARM_PROBABILITY_UNSPECIFIED", + "NEGLIGIBLE", + "LOW", + "MEDIUM", + "HIGH" + ], + "description": "Required. The probability of harm for this content." }, - "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" + "category": { + "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" + ], + "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 + ] + }, + "blocked": { + "type": "boolean", + "description": "Was this content blocked because of this rating?" } } }, - "InlinedResponses": { - "description": "The responses to the requests in the batch.", + "ImportFileRequest": { + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", "type": "object", "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", - "readOnly": true, + "fileName": { + "type": "string", + "description": "Required. The name of the `File` to import. Example: `files/abc-123`" + }, + "customMetadata": { + "description": "Custom metadata to be associated with the file.", "type": "array", "items": { - "$ref": "#/components/schemas/InlinedResponse" + "$ref": "#/components/schemas/CustomMetadata" } + }, + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" } } }, - "TransferOwnershipResponse": { + "UrlContext": { "type": "object", "properties": {}, - "description": "Response from `TransferOwnership`." + "description": "Tool to support URL context retrieval." }, - "Document": { + "Maps": { + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", "type": "object", "properties": { - "name": { + "title": { "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`" + "description": "Title of the place." }, - "state": { - "readOnly": true, - "enum": [ - "STATE_UNSPECIFIED", - "STATE_PENDING", - "STATE_ACTIVE", - "STATE_FAILED" - ], - "type": "string", - "description": "Output only. Current state of the `Document`.", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", - "All `Chunks` of the `Document` is processed and available for querying.", - "Some `Chunks` of the `Document` failed processing." - ] - }, - "updateTime": { - "description": "Output only. The Timestamp of when the `Document` was last updated.", - "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 - }, - "mimeType": { + "uri": { "type": "string", - "description": "Output only. The mime type of the Document.", - "readOnly": true + "description": "URI reference of the place." }, - "createTime": { - "description": "Output only. The Timestamp of when the `Document` was created.", - "readOnly": true, + "text": { "type": "string", - "format": "google-datetime" + "description": "Text description of the place answer." }, - "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\"", + "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" }, - "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" - } + "placeAnswerSources": { + "$ref": "#/components/schemas/PlaceAnswerSources", + "description": "Sources that provide answers about the features of a given place in Google Maps." } - }, - "description": "A `Document` is a collection of `Chunk`s." + } }, - "GenerateContentResponse": { + "FileSearchStore": { + "description": "A `FileSearchStore` is a collection of `Document`s.", "type": "object", "properties": { - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" + "displayName": { + "type": "string", + "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"" }, - "modelStatus": { - "description": "Output only. The current model status of this model.", + "failedDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "format": "int64", "readOnly": true, - "$ref": "#/components/schemas/ModelStatus" + "type": "string" }, - "usageMetadata": { - "$ref": "#/components/schemas/UsageMetadata", - "description": "Output only. Metadata on the generation requests' token usage.", - "readOnly": true + "createTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "format": "google-datetime", + "readOnly": true, + "type": "string" }, - "modelVersion": { - "description": "Output only. The model version used to generate the response.", + "name": { + "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", "readOnly": true, "type": "string" }, - "candidates": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Candidate" - }, - "description": "Candidate responses from the model." + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", + "format": "int64", + "readOnly": true, + "type": "string" }, - "responseId": { - "type": "string", - "description": "Output only. response_id is used to identify each response.", - "readOnly": true - } - }, - "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`." - }, - "Interval": { - "type": "object", - "properties": { - "startTime": { - "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", + "updateTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "format": "google-datetime", + "readOnly": true, + "type": "string" + }, + "pendingDocumentsCount": { + "readOnly": true, "type": "string", - "format": "google-datetime" + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "format": "int64" }, - "endTime": { + "activeDocumentsCount": { + "readOnly": true, "type": "string", - "format": "google-datetime", - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end." + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", + "format": "int64" } - }, - "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." + } }, - "BatchEmbedContentsResponse": { + "GeneratedFile": { "type": "object", "properties": { - "embeddings": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ContentEmbedding" - }, - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", - "readOnly": true + "error": { + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "$ref": "#/components/schemas/Status" }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", + "state": { + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Being generated.", + "Generated and is ready for download.", + "Failed to generate the GeneratedFile." + ], "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata" + "type": "string", + "enum": [ + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" + ], + "description": "Output only. The state of the GeneratedFile." + }, + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "type": "string" + }, + "mimeType": { + "description": "MIME type of the generatedFile.", + "type": "string" } }, - "description": "The response to a `BatchEmbedContentsRequest`." + "description": "A file generated on behalf of a user." }, - "ModalityTokenCount": { - "description": "Represents token counting info for a single modality.", + "VideoMetadata": { + "deprecated": true, + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", "type": "object", "properties": { - "tokenCount": { - "description": "Number of tokens.", - "type": "integer", - "format": "int32" + "endOffset": { + "type": "string", + "description": "Optional. The end offset of the video.", + "format": "google-duration" }, - "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" + "startOffset": { + "type": "string", + "description": "Optional. The start offset of the video.", + "format": "google-duration" + }, + "fps": { + "type": "number", + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", + "format": "double" } } }, - "UrlMetadata": { - "description": "Context of the a single url retrieval.", + "TunedModelSource": { + "description": "Tuned model as a source for training a new model.", "type": "object", "properties": { - "retrievedUrl": { - "description": "Retrieved url by the tool.", + "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" }, - "urlRetrievalStatus": { - "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" - ], + "baseModel": { + "readOnly": true, "type": "string", - "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." - ] + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`" } } }, - "InlinedRequests": { + "InlinedEmbedContentRequests": { "type": "object", "properties": { "requests": { - "description": "Required. The requests to be processed in the batch.", "type": "array", "items": { - "$ref": "#/components/schemas/InlinedRequest" - } + "$ref": "#/components/schemas/InlinedEmbedContentRequest" + }, + "description": "Required. The requests to be processed in the batch." } }, "description": "The requests to be processed in the batch if provided as part of the batch creation request." }, - "Content": { - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", + "Image": { + "description": "Chunk from image search.", "type": "object", "properties": { - "parts": { - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Part" - } + "sourceUri": { + "description": "The web page URI for attribution.", + "type": "string" }, - "role": { - "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "imageUri": { + "description": "The image asset URL.", "type": "string" + }, + "domain": { + "type": "string", + "description": "The root domain of the web page that the image is from, e.g. \"example.com\"." + }, + "title": { + "type": "string", + "description": "The title of the web page that the image is from." } } }, - "UsageMetadata": { - "description": "Metadata on the generation request's token usage.", + "SafetySetting": { + "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", "type": "object", "properties": { - "toolUsePromptTokensDetails": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed for tool-use request inputs.", - "readOnly": true - }, - "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." - }, - "toolUsePromptTokenCount": { - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "readOnly": true, - "type": "integer", - "format": "int32" - }, - "candidatesTokenCount": { - "description": "Total number of tokens across all the generated response candidates.", - "type": "integer", - "format": "int32" - }, - "totalTokenCount": { - "description": "Total token count for the generation request (prompt + response candidates).", - "type": "integer", - "format": "int32" - }, - "cachedContentTokenCount": { - "type": "integer", - "format": "int32", - "description": "Number of tokens in the cached part of the prompt (the cached content)" - }, - "candidatesTokensDetails": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were returned in the response.", - "readOnly": true + "category": { + "description": "Required. The category for this setting.", + "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" + ], + "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 + ] }, - "thoughtsTokenCount": { - "description": "Output only. Number of tokens of thoughts for thinking models.", - "readOnly": true, - "type": "integer", - "format": "int32" + "threshold": { + "description": "Required. Controls the probability threshold at which harm is blocked.", + "type": "string", + "enum": [ + "HARM_BLOCK_THRESHOLD_UNSPECIFIED", + "BLOCK_LOW_AND_ABOVE", + "BLOCK_MEDIUM_AND_ABOVE", + "BLOCK_ONLY_HIGH", + "BLOCK_NONE", + "OFF" + ], + "x-enum-descriptions": [ + "Threshold is unspecified.", + "Content with NEGLIGIBLE will be allowed.", + "Content with NEGLIGIBLE and LOW will be allowed.", + "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", + "All content will be allowed.", + "Turn off the safety filter." + ] + } + } + }, + "Permission": { + "type": "object", + "properties": { + "emailAddress": { + "type": "string", + "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." }, - "promptTokensDetails": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true + "role": { + "type": "string", + "enum": [ + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" + ], + "description": "Required. The role granted by this permission.", + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Owner can use, update, share and delete the resource.", + "Writer can use, update and share the resource.", + "Reader can use the resource." + ] }, - "cacheTokensDetails": { - "description": "Output only. List of modalities of the cached content in the request input.", + "name": { "readOnly": true, - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", - "type": "integer", - "format": "int32", - "readOnly": true + "type": "string", + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only." }, - "responseTokensDetails": { - "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "granteeType": { + "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." + ], + "type": "string", + "enum": [ + "GRANTEE_TYPE_UNSPECIFIED", + "USER", + "GROUP", + "EVERYONE" + ], + "description": "Optional. Immutable. The type of the grantee." } - } + }, + "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" }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", + "RegisterFilesResponse": { "type": "object", "properties": { - "values": { - "description": "The string values of the metadata to store.", + "files": { "type": "array", "items": { - "type": "string" - } - } - } - }, - "Maps": { - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", - "type": "object", - "properties": { - "placeAnswerSources": { - "description": "Sources that provide answers about the features of a given place in Google Maps.", - "$ref": "#/components/schemas/PlaceAnswerSources" - }, - "placeId": { - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", - "type": "string" - }, - "text": { - "description": "Text description of the place answer.", - "type": "string" - }, - "uri": { - "description": "URI reference of the place.", - "type": "string" - }, - "title": { - "description": "Title of the place.", - "type": "string" + "$ref": "#/components/schemas/File" + }, + "description": "The registered files to be used when calling GenerateContent." } - } + }, + "description": "Response for `RegisterFiles`." }, - "Operation": { - "description": "This resource represents a long-running operation that is the result of a network API call.", + "FunctionResponsePart": { + "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "type": "object", "properties": { - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" - }, - "response": { - "type": "object", - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - }, - "metadata": { - "type": "object", - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - }, - "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", - "type": "string" - }, - "done": { - "type": "boolean", - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available." + "inlineData": { + "$ref": "#/components/schemas/FunctionResponseBlob", + "description": "Inline media bytes." } } }, - "EmbedContentResponse": { + "CodeExecutionResult": { "type": "object", "properties": { - "embedding": { - "$ref": "#/components/schemas/ContentEmbedding", - "description": "Output only. The embedding generated from the input content.", - "readOnly": true + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "type": "string" }, - "usageMetadata": { - "$ref": "#/components/schemas/EmbeddingUsageMetadata", - "description": "Output only. The usage metadata for the request.", - "readOnly": true + "outcome": { + "type": "string", + "enum": [ + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" + ], + "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." + ] + }, + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "type": "string" } }, - "description": "The response to an `EmbedContentRequest`." + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used." }, - "RetrievalMetadata": { + "RetrievalConfig": { + "description": "Retrieval config.", "type": "object", "properties": { - "googleSearchDynamicRetrievalScore": { - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", - "type": "number", - "format": "float" + "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": { + "$ref": "#/components/schemas/LatLng", + "description": "Optional. The location of the user." } - }, - "description": "Metadata related to retrieval in the grounding flow." + } }, - "InlinedRequest": { + "ListFilesResponse": { + "description": "Response for `ListFiles`.", "type": "object", "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" - }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "additionalProperties": { - "description": "Properties of the object." + "files": { + "type": "array", + "items": { + "$ref": "#/components/schemas/File" }, - "type": "object" + "description": "The list of `File`s." + }, + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "type": "string" } - }, - "description": "The request to be processed in the batch." + } }, - "EmbedContentBatchOutput": { + "TuningSnapshot": { + "description": "Record for a single tuning step.", "type": "object", "properties": { - "responsesFile": { - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "computeTime": { + "description": "Output only. The timestamp when this metric was computed.", + "format": "google-datetime", "readOnly": true, "type": "string" }, - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "meanLoss": { "readOnly": true, - "$ref": "#/components/schemas/InlinedEmbedContentResponses" + "type": "number", + "description": "Output only. The mean loss of the training examples for this step.", + "format": "float" + }, + "step": { + "description": "Output only. The tuning step.", + "format": "int32", + "readOnly": true, + "type": "integer" + }, + "epoch": { + "readOnly": true, + "type": "integer", + "description": "Output only. The epoch this step was part of.", + "format": "int32" } - }, - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field." + } }, - "InlinedEmbedContentRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "GoogleSearch": { + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", "type": "object", "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" - } + "timeRangeFilter": { + "$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)." + }, + "searchTypes": { + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", + "$ref": "#/components/schemas/SearchTypes" } } }, - "GroundingAttribution": { + "EmbedContentResponse": { + "description": "The response to an `EmbedContentRequest`.", "type": "object", "properties": { - "sourceId": { - "description": "Output only. Identifier for the source contributing to this attribution.", + "embedding": { + "description": "Output only. The embedding generated from the input content.", "readOnly": true, - "$ref": "#/components/schemas/AttributionSourceId" + "$ref": "#/components/schemas/ContentEmbedding" }, - "content": { - "$ref": "#/components/schemas/Content", - "description": "Grounding source content that makes up this attribution." + "usageMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "description": "Output only. The usage metadata for the request." } - }, - "description": "Attribution for a source that contributed to an answer." + } }, - "Schema": { + "ListCachedContentsResponse": { "type": "object", "properties": { - "maxItems": { - "type": "string", - "format": "int64", - "description": "Optional. Maximum number of the elements for Type.ARRAY." - }, - "nullable": { - "type": "boolean", - "description": "Optional. Indicates if the value may be null." - }, - "type": { - "type": "string", - "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" - ], - "description": "Required. Data type.", - "x-enum-descriptions": [ - "Not specified, should not be used.", - "String type.", - "Number type.", - "Integer type.", - "Boolean type.", - "Array type.", - "Object type.", - "Null type." - ] - }, - "items": { - "$ref": "#/components/schemas/Schema", - "description": "Optional. Schema of the elements of Type.ARRAY." - }, - "propertyOrdering": { + "cachedContents": { "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/CachedContent" }, - "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response." - }, - "minimum": { - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" - }, - "format": { - "type": "string", - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality." - }, - "maximum": { - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" - }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." + "description": "List of cached contents." }, - "title": { - "description": "Optional. The title of the schema.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" - }, - "maxProperties": { - "type": "string", - "format": "int64", - "description": "Optional. Maximum number of the properties for Type.OBJECT." - }, - "enum": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}" - }, - "required": { - "description": "Optional. Required properties of Type.OBJECT.", - "type": "array", - "items": { - "type": "string" - } - }, - "anyOf": { - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Schema" - } - }, - "minItems": { - "description": "Optional. Minimum number of the elements for Type.ARRAY.", + } + }, + "description": "Response with CachedContents list." + }, + "ToolCall": { + "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", + "type": "object", + "properties": { + "id": { "type": "string", - "format": "int64" + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`." }, - "minLength": { - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "toolType": { + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], "type": "string", - "format": "int64" + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], + "description": "Required. The type of tool that was called." }, - "properties": { - "description": "Optional. Properties of Type.OBJECT.", + "args": { + "type": "object", "additionalProperties": { - "$ref": "#/components/schemas/Schema" + "description": "Properties of the object." }, - "type": "object" - }, - "maxLength": { - "description": "Optional. Maximum length of the Type.STRING", - "type": "string", - "format": "int64" - }, - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", - "type": "string" - }, - "default": { - "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." - }, - "description": { - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", - "type": "string" - }, - "minProperties": { - "type": "string", - "format": "int64", - "description": "Optional. Minimum number of the properties for Type.OBJECT." + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}" } - }, - "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema)." + } }, - "RetrievedContext": { - "description": "Chunk from context retrieved by the file search tool.", + "VoiceConfig": { + "description": "The configuration for the voice to use.", "type": "object", "properties": { - "text": { - "description": "Optional. Text of the chunk.", - "type": "string" - }, - "customMetadata": { + "prebuiltVoiceConfig": { + "$ref": "#/components/schemas/PrebuiltVoiceConfig", + "description": "The configuration for the prebuilt voice to use." + } + } + }, + "ListCorporaResponse": { + "type": "object", + "properties": { + "corpora": { "type": "array", "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + "$ref": "#/components/schemas/Corpus" }, - "description": "Optional. User-provided metadata about the retrieved context." + "description": "The returned corpora." }, - "uri": { - "description": "Optional. URI reference of the semantic retrieval document.", - "type": "string" - }, - "title": { - "description": "Optional. Title of the document.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" - }, - "fileSearchStore": { + } + }, + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`." + }, + "SemanticRetrieverChunk": { + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", + "type": "object", + "properties": { + "chunk": { + "readOnly": true, "type": "string", - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`" - }, - "pageNumber": { - "type": "integer", - "format": "int32", - "description": "Optional. Page number of the retrieved context, if applicable." + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`" }, - "mediaId": { - "type": "string", - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}" + "source": { + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", + "readOnly": true, + "type": "string" } } }, - "TransferOwnershipRequest": { + "GroundingChunkCustomMetadata": { "type": "object", "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + "numericValue": { + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "format": "float", + "type": "number" + }, + "key": { + "type": "string", + "description": "The key of the metadata." + }, + "stringValue": { + "description": "Optional. The string value of the metadata.", "type": "string" + }, + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" } }, - "description": "Request to transfer the ownership of the tuned model." + "description": "User provided metadata about the GroundingFact." }, - "GeneratedFile": { - "description": "A file generated on behalf of a user.", + "GenerateContentRequest": { "type": "object", "properties": { - "mimeType": { - "type": "string", - "description": "MIME type of the generatedFile." + "systemInstruction": { + "$ref": "#/components/schemas/Content", + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only." }, - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" + "cachedContent": { + "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", + "type": "string" }, - "name": { - "type": "string", - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`" + "safetySettings": { + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetySetting" + } }, - "state": { - "readOnly": true, + "serviceTier": { "type": "string", "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" + "unspecified", + "standard", + "flex", + "priority" ], - "description": "Output only. The state of the GeneratedFile.", + "description": "Optional. The service tier of the request.", "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." + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." ] - } - } - }, - "ListOperationsResponse": { - "description": "The response message for Operations.ListOperations.", - "type": "object", - "properties": { - "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.", + "model": { + "type": "string", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." + }, + "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.", + "$ref": "#/components/schemas/ToolConfig" + }, + "contents": { + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/Content" } }, - "operations": { - "description": "A list of operations that matches the specified filter in the request.", + "generationConfig": { + "$ref": "#/components/schemas/GenerationConfig", + "description": "Optional. Configuration options for model generation and outputs." + }, + "tools": { "type": "array", "items": { - "$ref": "#/components/schemas/Operation" - } + "$ref": "#/components/schemas/Tool" + }, + "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more." + }, + "store": { + "type": "boolean", + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config." } - } + }, + "description": "Request to generate a completion from the model." }, - "Dataset": { - "description": "Dataset for training or validation.", + "InputConfig": { + "description": "Configures the input to the batch request.", "type": "object", "properties": { - "examples": { - "$ref": "#/components/schemas/TuningExamples", - "description": "Optional. Inline examples with simple input/output text." + "fileName": { + "description": "The name of the `File` containing the input requests.", + "type": "string" + }, + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedRequests" } } }, - "CodeExecutionResult": { - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", + "FileData": { + "description": "URI based data.", "type": "object", "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" - }, - "output": { + "mimeType": { "type": "string", - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise." + "description": "Optional. The IANA standard MIME type of the source data." }, - "outcome": { - "type": "string", - "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" - ], - "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." - ] + "fileUri": { + "description": "Required. URI.", + "type": "string" } } }, - "FunctionResponseBlob": { - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "EmbedContentBatchOutput": { "type": "object", "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", + "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" }, - "data": { - "type": "string", - "format": "byte", - "description": "Raw bytes for media formats." + "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" + } + }, + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field." + }, + "InlinedEmbedContentResponse": { + "description": "The response to a single request in the batch.", + "type": "object", + "properties": { + "error": { + "description": "Output only. The error encountered while processing the request.", + "readOnly": true, + "$ref": "#/components/schemas/Status" + }, + "response": { + "description": "Output only. The response to the request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentResponse" + }, + "metadata": { + "description": "Output only. The metadata associated with the request.", + "readOnly": true, + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + } + } + }, + "InlinedEmbedContentResponses": { + "description": "The responses to the requests in the batch.", + "type": "object", + "properties": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentResponse" + } } } }, - "InlinedResponse": { + "GroundingPassageId": { "type": "object", "properties": { - "error": { - "description": "Output only. The error encountered while processing the request.", + "passageId": { "readOnly": true, - "$ref": "#/components/schemas/Status" - }, - "response": { - "$ref": "#/components/schemas/GenerateContentResponse", - "description": "Output only. The response to the request.", - "readOnly": true + "type": "string", + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`." }, - "metadata": { - "description": "Output only. The metadata associated with the request.", + "partIndex": { + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", + "format": "int32", "readOnly": true, - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" + "type": "integer" } }, - "description": "The response to a single request in the batch." + "description": "Identifier for a part within a `GroundingPassage`." }, - "DynamicRetrievalConfig": { + "ContentEmbedding": { + "description": "A list of floats representing an embedding.", "type": "object", "properties": { - "mode": { - "description": "The mode of the predictor to be used in dynamic retrieval.", - "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." - ], - "enum": [ - "MODE_UNSPECIFIED", - "MODE_DYNAMIC" - ], - "type": "string" + "values": { + "type": "array", + "items": { + "format": "float", + "type": "number" + }, + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls." }, - "dynamicThreshold": { - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "type": "number", - "format": "float" + "shape": { + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", + "type": "array", + "items": { + "type": "integer", + "format": "int32" + } } - }, - "description": "Describes the options to customize dynamic retrieval." + } }, - "VideoFileMetadata": { - "description": "Metadata for a video `File`.", + "GroundingChunkStringList": { "type": "object", "properties": { - "videoDuration": { - "type": "string", - "format": "google-duration", - "description": "Duration of the video." + "values": { + "type": "array", + "items": { + "type": "string" + }, + "description": "The string values of the list." } - } + }, + "description": "A list of string values." }, - "ListTunedModelsResponse": { + "ListModelsResponse": { "type": "object", "properties": { - "tunedModels": { + "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." + }, + "models": { "type": "array", "items": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Model" }, "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" } }, - "description": "Response from `ListTunedModels` containing a paginated list of Models." + "description": "Response from `ListModel` containing a paginated list of Models." }, "FunctionCallingConfig": { - "description": "Configuration for specifying function calling behavior.", "type": "object", "properties": { "mode": { "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", - "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\"." - ], + "type": "string", "enum": [ "MODE_UNSPECIFIED", "AUTO", @@ -6382,7 +6340,13 @@ "NONE", "VALIDATED" ], - "type": "string" + "x-enum-descriptions": [ + "Unspecified function calling mode. This value should not be used.", + "Default model behavior, model decides to predict either a function call or a natural language response.", + "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", + "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", + "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." + ] }, "allowedFunctionNames": { "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", @@ -6391,279 +6355,315 @@ "type": "string" } } - } - }, - "EmbedContentRequest": { - "type": "object", - "properties": { - "taskType": { - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ], - "type": "string", - "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", - "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." - ], - "deprecated": true - }, - "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." - }, - "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" - }, - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" - }, - "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}`" - }, - "embedContentConfig": { - "description": "Optional. Configuration for the EmbedContent request.", - "$ref": "#/components/schemas/EmbedContentConfig" - } - }, - "description": "Request containing the `Content` for the model to embed." - }, - "CreateFileRequest": { - "type": "object", - "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" - } - }, - "description": "Request for `CreateFile`." - }, - "FunctionDeclaration": { - "type": "object", - "properties": { - "parametersJsonSchema": { - "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." - }, - "response": { - "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", - "$ref": "#/components/schemas/Schema" - }, - "responseJsonSchema": { - "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." - }, - "parameters": { - "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", - "$ref": "#/components/schemas/Schema" - }, - "behavior": { - "type": "string", - "enum": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" - ], - "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." - ] - }, - "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." - }, - "description": { - "type": "string", - "description": "Required. A brief description of the function." - } }, - "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." - }, - "GenerateContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", - "type": "object", - "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 `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "readOnly": true - }, - "inlinedResponses": { - "$ref": "#/components/schemas/InlinedResponses", - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "readOnly": true - } - } - }, - "UploadToFileSearchStoreRequest": { - "description": "Request for `UploadToFileSearchStore`.", - "type": "object", - "properties": { - "customMetadata": { - "type": "array", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the data." - }, - "mimeType": { - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", - "type": "string" - }, - "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" - } - } + "description": "Configuration for specifying function calling behavior." }, - "ComputerUse": { + "Status": { "type": "object", "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." - }, - "environment": { - "description": "Required. The environment being operated.", - "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser." - ], + "code": { + "type": "integer", + "description": "The status code, which should be an enum value of google.rpc.Code.", + "format": "int32" + }, + "message": { "type": "string", - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER" - ] + "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." + }, + "details": { + "type": "array", + "items": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use." } }, - "description": "Computer Use tool type." + "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)." }, - "ListCachedContentsResponse": { + "GoogleAiGenerativelanguageV1betaGroundingSupport": { "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 subsequent pages." + "renderedParts": { + "readOnly": true, + "type": "array", + "items": { + "format": "int32", + "type": "integer" + }, + "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." }, - "cachedContents": { + "confidenceScores": { "type": "array", "items": { - "$ref": "#/components/schemas/CachedContent" + "type": "number", + "format": "float" }, - "description": "List of cached contents." + "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." + }, + "segment": { + "description": "Segment of the content this support belongs to.", + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + }, + "groundingChunkIndices": { + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", + "type": "array", + "items": { + "format": "int32", + "type": "integer" + } } }, - "description": "Response with CachedContents list." + "description": "Grounding support." }, "WebSearch": { - "description": "Standard web search for grounding and related configurations.", "type": "object", - "properties": {} + "properties": {}, + "description": "Standard web search for grounding and related configurations." }, - "InlinedEmbedContentResponses": { + "CountTokensResponse": { "type": "object", "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", + "cachedContentTokenCount": { + "type": "integer", + "description": "Number of tokens in the cached part of the prompt (the cached content).", + "format": "int32" + }, + "promptTokensDetails": { "readOnly": true, "type": "array", "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input." + }, + "totalTokens": { + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", + "format": "int32", + "type": "integer" + }, + "cacheTokensDetails": { + "description": "Output only. List of modalities that were processed in the cached content.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" } } }, - "description": "The responses to the requests in the batch." + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`." }, - "RetrievalConfig": { + "CodeExecution": { + "type": "object", + "properties": {}, + "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." + }, + "VideoFileMetadata": { + "description": "Metadata for a video `File`.", "type": "object", "properties": { - "languageCode": { + "videoDuration": { "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": { - "$ref": "#/components/schemas/LatLng", - "description": "Optional. The location of the user." + "description": "Duration of the video.", + "format": "google-duration" } - }, - "description": "Retrieval config." + } }, - "PlaceAnswerSources": { + "LogprobsResult": { "type": "object", "properties": { - "reviewSnippets": { - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "topCandidates": { + "description": "Length = total number of decoding steps.", "type": "array", "items": { - "$ref": "#/components/schemas/ReviewSnippet" + "$ref": "#/components/schemas/TopCandidates" + } + }, + "chosenCandidates": { + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" } + }, + "logProbabilitySum": { + "type": "number", + "description": "Sum of log probabilities for all tokens.", + "format": "float" } }, - "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." + "description": "Logprobs Result" }, - "BatchEmbedContentsRequest": { - "description": "Batch request to get embeddings from the model for a list of prompts.", + "Schema": { + "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", "type": "object", "properties": { - "requests": { + "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." + }, + "maxProperties": { + "description": "Optional. Maximum number of the properties for Type.OBJECT.", + "format": "int64", + "type": "string" + }, + "pattern": { + "type": "string", + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression." + }, + "minimum": { + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", + "format": "double", + "type": "number" + }, + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." + }, + "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": { - "$ref": "#/components/schemas/EmbedContentRequest" + "type": "string" + } + }, + "title": { + "type": "string", + "description": "Optional. The title of the schema." + }, + "required": { + "type": "array", + "items": { + "type": "string" }, - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`." + "description": "Optional. Required properties of Type.OBJECT." + }, + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" + }, + "items": { + "$ref": "#/components/schemas/Schema", + "description": "Optional. Schema of the elements of Type.ARRAY." + }, + "maximum": { + "type": "number", + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", + "format": "double" + }, + "anyOf": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Schema" + }, + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list." + }, + "minProperties": { + "type": "string", + "description": "Optional. Minimum number of the properties for Type.OBJECT.", + "format": "int64" + }, + "minLength": { + "type": "string", + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "format": "int64" + }, + "minItems": { + "type": "string", + "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "format": "int64" + }, + "maxLength": { + "type": "string", + "description": "Optional. Maximum length of the Type.STRING", + "format": "int64" + }, + "type": { + "x-enum-descriptions": [ + "Not specified, should not be used.", + "String type.", + "Number type.", + "Integer type.", + "Boolean type.", + "Array type.", + "Object type.", + "Null type." + ], + "type": "string", + "enum": [ + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" + ], + "description": "Required. Data type." + }, + "enum": { + "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", + "type": "array", + "items": { + "type": "string" + } + }, + "maxItems": { + "description": "Optional. Maximum number of the elements for Type.ARRAY.", + "format": "int64", + "type": "string" + }, + "properties": { + "type": "object", + "additionalProperties": { + "$ref": "#/components/schemas/Schema" + }, + "description": "Optional. Properties of Type.OBJECT." + }, + "format": { + "type": "string", + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality." + }, + "description": { + "type": "string", + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown." } } }, - "Image": { - "description": "Chunk from image search.", + "McpServer": { "type": "object", "properties": { - "imageUri": { - "type": "string", - "description": "The image asset URL." - }, - "domain": { - "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", - "type": "string" + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" }, - "sourceUri": { - "description": "The web page URI for attribution.", + "name": { + "description": "The name of the MCPServer.", "type": "string" + } + }, + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6" + }, + "EmbeddingUsageMetadata": { + "type": "object", + "properties": { + "promptTokenDetails": { + "description": "Output only. List of modalities that were processed in the request input.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } }, - "title": { - "type": "string", - "description": "The title of the web page that the image is from." + "promptTokenCount": { + "description": "Output only. Number of tokens in the prompt.", + "format": "int32", + "readOnly": true, + "type": "integer" } - } + }, + "description": "Metadata on the usage of the embedding request." } } }