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 35ccf069..11b8cb42 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 @@ -452,14 +452,11 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// /// - /// - /// Stats about the batch. - /// /// /// Required. The user-defined name of this batch. /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// Stats about the batch. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -467,6 +464,9 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// Configures the input to the batch request. /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// @@ -476,22 +476,22 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? displayName = default, - global::Google.Gemini.EmbedContentBatchOutput? output = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? model = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + global::Google.Gemini.EmbedContentBatchOutput? output = default, string? priority = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { - BatchStats = batchStats, DisplayName = displayName, - Output = output, + BatchStats = batchStats, Model = model, InputConfig = inputConfig, + Output = output, Priority = priority, }; 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 05b8d801..9a1f50bd 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 @@ -452,23 +452,23 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Stats about the batch. + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Configures the input to the batch request. /// - /// - /// 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. /// - /// - /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -476,23 +476,23 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, + string? displayName = default, + global::Google.Gemini.BatchStats? batchStats = default, string? model = default, global::Google.Gemini.InputConfig? inputConfig = default, - string? priority = default, - global::Google.Gemini.BatchStats? batchStats = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, - string? displayName = default, + string? priority = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { + DisplayName = displayName, + BatchStats = batchStats, Model = model, InputConfig = inputConfig, - Priority = priority, - BatchStats = batchStats, Output = output, - DisplayName = displayName, + Priority = priority, }; return await BatchesUpdateGenerateContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs index 3ad2dbc6..3dc5cdc9 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 @@ -432,11 +432,14 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// Metadata on the usage of the cached content. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. @@ -444,45 +447,42 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// 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. /// /// /// 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. + /// + /// Required. Immutable. The name of the `Model` to use for cached content 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 CachedContentsCreateAsync( global::System.Collections.Generic.IList? tools = default, - string? ttl = default, - string? model = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? expireTime = default, - string? displayName = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? ttl = default, + string? displayName = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { Tools = tools, - Ttl = ttl, - Model = model, - SystemInstruction = systemInstruction, - ToolConfig = toolConfig, ExpireTime = expireTime, - DisplayName = displayName, Contents = contents, UsageMetadata = usageMetadata, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, + Ttl = ttl, + DisplayName = displayName, + Model = model, }; 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 ebede5ef..0e6f284d 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 @@ -455,11 +455,14 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// Metadata on the usage of the cached content. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. @@ -467,17 +470,14 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// 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. /// /// /// 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. + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -486,28 +486,28 @@ partial void ProcessCachedContentsPatchResponseContent( string cachedContentsId, string? updateMask = default, global::System.Collections.Generic.IList? tools = default, - string? ttl = default, - string? model = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? expireTime = default, - string? displayName = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? ttl = default, + string? displayName = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { Tools = tools, - Ttl = ttl, - Model = model, - SystemInstruction = systemInstruction, - ToolConfig = toolConfig, ExpireTime = expireTime, - DisplayName = displayName, Contents = contents, UsageMetadata = usageMetadata, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, + Ttl = ttl, + DisplayName = displayName, + Model = model, }; 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 e7da42d8..526ac84d 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 @@ -439,31 +439,31 @@ partial void ProcessCorporaPermissionsCreateResponseContent( /// Create a permission to a specific resource. /// /// + /// + /// 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. /// - /// - /// Required. The role granted by this permission. - /// /// 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, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { + Role = role, GranteeType = granteeType, EmailAddress = emailAddress, - Role = role, }; 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 cad01424..df07ccb5 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 @@ -462,15 +462,15 @@ partial void ProcessCorporaPermissionsPatchResponseContent( /// /// /// + /// + /// 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. /// - /// - /// Required. The role granted by this permission. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -478,17 +478,17 @@ partial void ProcessCorporaPermissionsPatchResponseContent( string permissionsId, string corporaId, string? updateMask = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { + Role = role, GranteeType = granteeType, EmailAddress = emailAddress, - Role = role, }; 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 52e50edd..7109b8a1 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 @@ -439,66 +439,66 @@ 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. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 DynamicGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, - Tools = tools, + SafetySettings = safetySettings, + CachedContent = cachedContent, + Model = model, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, ToolConfig = toolConfig, - CachedContent = cachedContent, Store = store, - Model = model, + Tools = tools, Contents = contents, - SafetySettings = safetySettings, + SystemInstruction = systemInstruction, + GenerationConfig = generationConfig, }; 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 d31ccfc0..a176d2af 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 @@ -439,66 +439,66 @@ 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`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 DynamicStreamGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, - Tools = tools, + SafetySettings = safetySettings, + CachedContent = cachedContent, + Model = model, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, ToolConfig = toolConfig, - CachedContent = cachedContent, Store = store, - Model = model, + Tools = tools, Contents = contents, - SafetySettings = safetySettings, + SystemInstruction = systemInstruction, + GenerationConfig = generationConfig, }; 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 862a9a37..bbf6aa0b 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 @@ -379,66 +379,66 @@ 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`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 { - GenerationConfig = generationConfig, - Tools = tools, + SafetySettings = safetySettings, + CachedContent = cachedContent, + Model = model, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, ToolConfig = toolConfig, - CachedContent = cachedContent, Store = store, - Model = model, + Tools = tools, Contents = contents, - SafetySettings = safetySettings, + SystemInstruction = systemInstruction, + GenerationConfig = generationConfig, }; var __enumerable = DynamicStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs index 22ea3ac6..65037548 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs @@ -429,25 +429,25 @@ partial void ProcessFileSearchStoresCreateResponseContent( /// /// Creates an empty `FileSearchStore`. /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// /// /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. /// + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task FileSearchStoresCreateAsync( - string? displayName = default, string? embeddingModel = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.FileSearchStore { - DisplayName = displayName, EmbeddingModel = embeddingModel, + DisplayName = displayName, }; return await FileSearchStoresCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs index 2f895341..617bc5b6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs @@ -439,12 +439,12 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` - /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` + /// /// /// Custom metadata to be associated with the file. /// @@ -453,16 +453,16 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// public async global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - string? fileName = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + string? fileName = default, global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.ImportFileRequest { - FileName = fileName, ChunkingConfig = chunkingConfig, + FileName = fileName, CustomMetadata = customMetadata, }; 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 76b471ba..c6eda0d1 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 @@ -439,36 +439,36 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// - /// - /// Optional. Display name of the created document. - /// /// /// 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. + /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, - string? displayName = default, global::System.Collections.Generic.IList? customMetadata = default, string? mimeType = default, + string? displayName = 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 { - ChunkingConfig = chunkingConfig, - DisplayName = displayName, CustomMetadata = customMetadata, MimeType = mimeType, + DisplayName = displayName, + ChunkingConfig = chunkingConfig, }; return await MediaUploadToFileSearchStoreAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs index 29ce048a..d9ef85ef 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs @@ -441,31 +441,31 @@ partial void ProcessModelsEmbedContentResponseContent( /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Configurations for the EmbedContent 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 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, - string? model = default, - global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, global::Google.Gemini.Content? content = default, + global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentRequest { - Model = model, - EmbedContentConfig = embedContentConfig, Content = content, + EmbedContentConfig = embedContentConfig, + Model = model, }; return await ModelsEmbedContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs index 984aec48..dbbf44da 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 @@ -439,66 +439,66 @@ 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. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 ModelsGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, - Tools = tools, + SafetySettings = safetySettings, + CachedContent = cachedContent, + Model = model, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, ToolConfig = toolConfig, - CachedContent = cachedContent, Store = store, - Model = model, + Tools = tools, Contents = contents, - SafetySettings = safetySettings, + SystemInstruction = systemInstruction, + GenerationConfig = generationConfig, }; 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 3f57c3d9..5530aec3 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 @@ -439,66 +439,66 @@ 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`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 ModelsStreamGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, - Tools = tools, + SafetySettings = safetySettings, + CachedContent = cachedContent, + Model = model, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, ToolConfig = toolConfig, - CachedContent = cachedContent, Store = store, - Model = model, + Tools = tools, Contents = contents, - SafetySettings = safetySettings, + SystemInstruction = systemInstruction, + GenerationConfig = generationConfig, }; 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 cdf8cdb9..0f2d7b30 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 @@ -379,66 +379,66 @@ 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`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 { - GenerationConfig = generationConfig, - Tools = tools, + SafetySettings = safetySettings, + CachedContent = cachedContent, + Model = model, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, ToolConfig = toolConfig, - CachedContent = cachedContent, Store = store, - Model = model, + Tools = tools, Contents = contents, - SafetySettings = safetySettings, + SystemInstruction = systemInstruction, + GenerationConfig = generationConfig, }; 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 8bf55405..f58bade2 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 @@ -442,15 +442,15 @@ partial void ProcessTunedModelsCreateResponseContent( /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. A short description of this model. + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Tuning tasks that create tuned models. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// /// Tuned model as a source for training a new model. /// @@ -460,8 +460,8 @@ partial void ProcessTunedModelsCreateResponseContent( /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. A short description of this model. /// /// /// Optional. List of project numbers that have read access to the tuned model. @@ -474,13 +474,13 @@ partial void ProcessTunedModelsCreateResponseContent( /// public async global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - float? topP = default, - string? description = default, + float? temperature = default, global::Google.Gemini.TuningTask? tuningTask = default, + float? topP = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, int? topK = default, string? baseModel = default, - float? temperature = default, + string? description = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, @@ -488,13 +488,13 @@ partial void ProcessTunedModelsCreateResponseContent( { var __request = new global::Google.Gemini.TunedModel { - TopP = topP, - Description = description, + Temperature = temperature, TuningTask = tuningTask, + TopP = topP, TunedModelSource = tunedModelSource, TopK = topK, BaseModel = baseModel, - Temperature = temperature, + Description = description, ReaderProjectNumbers = readerProjectNumbers, DisplayName = displayName, }; 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 2c9f6c8c..5033c4ed 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 @@ -439,66 +439,66 @@ 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. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 TunedModelsGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, - Tools = tools, + SafetySettings = safetySettings, + CachedContent = cachedContent, + Model = model, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, ToolConfig = toolConfig, - CachedContent = cachedContent, Store = store, - Model = model, + Tools = tools, Contents = contents, - SafetySettings = safetySettings, + SystemInstruction = systemInstruction, + GenerationConfig = generationConfig, }; 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 0383c9b2..106951d8 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 @@ -452,15 +452,15 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. A short description of this model. + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Tuning tasks that create tuned models. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// /// Tuned model as a source for training a new model. /// @@ -470,8 +470,8 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. A short description of this model. /// /// /// Optional. List of project numbers that have read access to the tuned model. @@ -485,13 +485,13 @@ partial void ProcessTunedModelsPatchResponseContent( public async global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - float? topP = default, - string? description = default, + float? temperature = default, global::Google.Gemini.TuningTask? tuningTask = default, + float? topP = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, int? topK = default, string? baseModel = default, - float? temperature = default, + string? description = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, @@ -499,13 +499,13 @@ partial void ProcessTunedModelsPatchResponseContent( { var __request = new global::Google.Gemini.TunedModel { - TopP = topP, - Description = description, + Temperature = temperature, TuningTask = tuningTask, + TopP = topP, TunedModelSource = tunedModelSource, TopK = topK, BaseModel = baseModel, - Temperature = temperature, + Description = description, ReaderProjectNumbers = readerProjectNumbers, DisplayName = displayName, }; 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 11ebda32..aaaf55a2 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 @@ -439,31 +439,31 @@ partial void ProcessTunedModelsPermissionsCreateResponseContent( /// Create a permission to a specific resource. /// /// + /// + /// 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. /// - /// - /// Required. The role granted by this permission. - /// /// 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, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { + Role = role, GranteeType = granteeType, EmailAddress = emailAddress, - Role = role, }; 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 7334b584..41b0d31b 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 @@ -462,15 +462,15 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( /// /// /// + /// + /// 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. /// - /// - /// Required. The role granted by this permission. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -478,17 +478,17 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( string tunedModelsId, string permissionsId, string? updateMask = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { + Role = role, GranteeType = granteeType, EmailAddress = emailAddress, - Role = role, }; 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 34e7f8a6..7eac2047 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 @@ -439,66 +439,66 @@ 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`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, - Tools = tools, + SafetySettings = safetySettings, + CachedContent = cachedContent, + Model = model, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, ToolConfig = toolConfig, - CachedContent = cachedContent, Store = store, - Model = model, + Tools = tools, Contents = contents, - SafetySettings = safetySettings, + SystemInstruction = systemInstruction, + GenerationConfig = generationConfig, }; 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 6e981915..2ab9b4bc 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 @@ -379,66 +379,66 @@ 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`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 { - GenerationConfig = generationConfig, - Tools = tools, + SafetySettings = safetySettings, + CachedContent = cachedContent, + Model = model, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, ToolConfig = toolConfig, - CachedContent = cachedContent, Store = store, - Model = model, + Tools = tools, Contents = contents, - SafetySettings = safetySettings, + SystemInstruction = systemInstruction, + GenerationConfig = generationConfig, }; 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 1aa12a7e..2abbf923 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -41,14 +41,11 @@ public partial interface IGeminiClient /// /// /// - /// - /// Stats about the batch. - /// /// /// Required. The user-defined name of this batch. /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// Stats about the batch. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -56,6 +53,9 @@ public partial interface IGeminiClient /// /// Configures the input to the batch request. /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// @@ -65,11 +65,11 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? displayName = default, - global::Google.Gemini.EmbedContentBatchOutput? output = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? model = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + global::Google.Gemini.EmbedContentBatchOutput? output = default, string? priority = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 8643d51f..956aa151 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -41,23 +41,23 @@ public partial interface IGeminiClient /// /// /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Stats about the batch. + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Configures the input to the batch request. /// - /// - /// 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. /// - /// - /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -65,12 +65,12 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, + string? displayName = default, + global::Google.Gemini.BatchStats? batchStats = default, string? model = default, global::Google.Gemini.InputConfig? inputConfig = default, - string? priority = default, - global::Google.Gemini.BatchStats? batchStats = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, - string? displayName = default, + string? priority = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs index 376d6254..a8747662 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs @@ -34,11 +34,14 @@ public partial interface IGeminiClient /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// Metadata on the usage of the cached content. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. @@ -46,31 +49,28 @@ public partial interface IGeminiClient /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// 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. /// /// /// 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. + /// + /// Required. Immutable. The name of the `Model` to use for cached content 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 CachedContentsCreateAsync( global::System.Collections.Generic.IList? tools = default, - string? ttl = default, - string? model = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? expireTime = default, - string? displayName = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? ttl = default, + string? displayName = 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.CachedContentsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs index 539530e5..485602b3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs @@ -44,11 +44,14 @@ public partial interface IGeminiClient /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// Metadata on the usage of the cached content. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. @@ -56,17 +59,14 @@ public partial interface IGeminiClient /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// 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. /// /// /// 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. + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -75,14 +75,14 @@ public partial interface IGeminiClient string cachedContentsId, string? updateMask = default, global::System.Collections.Generic.IList? tools = default, - string? ttl = default, - string? model = default, - global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? expireTime = default, - string? displayName = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? ttl = default, + string? displayName = 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.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs index 742c7e66..d00a997c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs @@ -36,23 +36,23 @@ public partial interface IGeminiClient /// Create a permission to a specific resource. /// /// + /// + /// 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. /// - /// - /// Required. The role granted by this permission. - /// /// 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, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = 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 b57a43d0..61d0e8e4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs @@ -46,15 +46,15 @@ public partial interface IGeminiClient /// /// /// + /// + /// 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. /// - /// - /// Required. The role granted by this permission. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -62,9 +62,9 @@ public partial interface IGeminiClient string permissionsId, string corporaId, string? updateMask = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = 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 5a8875a0..1a058bd0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 DynamicGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 36b0aa74..f132d7c6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 DynamicStreamGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 6db96a62..251b4895 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`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs index 9edab07f..456dc9c7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs @@ -31,18 +31,18 @@ public partial interface IGeminiClient /// /// Creates an empty `FileSearchStore`. /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// /// /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. /// + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task FileSearchStoresCreateAsync( - string? displayName = default, string? embeddingModel = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs index 95c834be..44182be1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs @@ -36,12 +36,12 @@ public partial interface IGeminiClient /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` - /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` + /// /// /// Custom metadata to be associated with the file. /// @@ -50,8 +50,8 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - string? fileName = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + string? fileName = default, global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs index 7a2345e1..572739fb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs @@ -36,27 +36,27 @@ public partial interface IGeminiClient /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// - /// - /// Optional. Display name of the created document. - /// /// /// 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. + /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, - string? displayName = default, global::System.Collections.Generic.IList? customMetadata = default, string? mimeType = default, + string? displayName = 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.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs index 93f07c6e..a0ce1945 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs @@ -38,23 +38,23 @@ public partial interface IGeminiClient /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Configurations for the EmbedContent 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 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, - string? model = default, - global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, global::Google.Gemini.Content? content = default, + global::Google.Gemini.EmbedContentConfig? embedContentConfig = 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.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs index bd3959ba..fb5f87a3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 ModelsGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 96ff1005..3c51d8a7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 ModelsStreamGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 0459d680..502f11c2 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`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 6323e7a3..12377b37 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs @@ -36,15 +36,15 @@ public partial interface IGeminiClient /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. A short description of this model. + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Tuning tasks that create tuned models. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// /// Tuned model as a source for training a new model. /// @@ -54,8 +54,8 @@ public partial interface IGeminiClient /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. A short description of this model. /// /// /// Optional. List of project numbers that have read access to the tuned model. @@ -68,13 +68,13 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - float? topP = default, - string? description = default, + float? temperature = default, global::Google.Gemini.TuningTask? tuningTask = default, + float? topP = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, int? topK = default, string? baseModel = default, - float? temperature = default, + string? description = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = 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 f673fd74..fbfdb4c5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 TunedModelsGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 62537b05..85aeaf10 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs @@ -41,15 +41,15 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. A short description of this model. + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Tuning tasks that create tuned models. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// /// Tuned model as a source for training a new model. /// @@ -59,8 +59,8 @@ public partial interface IGeminiClient /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. A short description of this model. /// /// /// Optional. List of project numbers that have read access to the tuned model. @@ -74,13 +74,13 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - float? topP = default, - string? description = default, + float? temperature = default, global::Google.Gemini.TuningTask? tuningTask = default, + float? topP = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, int? topK = default, string? baseModel = default, - float? temperature = default, + string? description = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = 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 6d247e33..201791e7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs @@ -36,23 +36,23 @@ public partial interface IGeminiClient /// Create a permission to a specific resource. /// /// + /// + /// 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. /// - /// - /// Required. The role granted by this permission. - /// /// 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, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = 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 065efa6e..e32f3684 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs @@ -46,15 +46,15 @@ public partial interface IGeminiClient /// /// /// + /// + /// 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. /// - /// - /// Required. The role granted by this permission. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -62,9 +62,9 @@ public partial interface IGeminiClient string tunedModelsId, string permissionsId, string? updateMask = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = 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 f7cb58c5..d791baba 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 ad072028..22e2ef24 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`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 01e7aefb..3f668a1e 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.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.UnixTimestampJsonConverter), })] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.JsonSerializerContextTypes))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfigMode), TypeInfoPropertyName = "FunctionCallingConfigMode2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCall))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadataUrlRetrievalStatus), TypeInfoPropertyName = "UrlMetadataUrlRetrievalStatus2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchEntryPoint))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(byte[]))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalConfig))] - [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.GroundingChunk))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Web))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] - [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.CustomMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StringList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.MultiSpeakerVoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfigTaskType), TypeInfoPropertyName = "EmbedContentConfigTaskType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponsePart))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseBlob))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningTask))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelSource))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchOutput))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponses))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Interval))] + [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.GenerationConfig))] - [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.GenerateContentRequestServiceTier), TypeInfoPropertyName = "GenerateContentRequestServiceTier2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] - [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::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.SpeakerVoiceConfig))] + [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::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningSnapshot))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Hyperparameters))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievedContext))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkCustomMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkStringList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCorporaResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchState), TypeInfoPropertyName = "GenerateContentBatchState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchStats))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchOutput))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TopCandidates))] - [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::Google.Gemini.CountTokensRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] - [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.InlinedResponses))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchTypes))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WebSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WhiteSpaceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleMaps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingPassageId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunk))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Web))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Maps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExamples))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [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.TuningExample))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedback))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Candidate))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PlaceAnswerSources))] - [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.InputEmbedContentConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequests))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSource), TypeInfoPropertyName = "FileSource2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileState), TypeInfoPropertyName = "FileState2")] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCachedContentsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContent))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCallToolType), TypeInfoPropertyName = "ToolCallToolType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbeddingUsageMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListPermissionsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Permission))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] + [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.StringList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecution))] + [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.BatchGenerateContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkStringList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContentUsageMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRating))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingCategory), TypeInfoPropertyName = "SafetyRatingCategory2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingProbability), TypeInfoPropertyName = "SafetyRatingProbability2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputEmbedContentConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] [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::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponses))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFileState), TypeInfoPropertyName = "GeneratedFileState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Document))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContent))] + [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::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TopCandidates))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] + [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::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Part))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUseEnvironment), TypeInfoPropertyName = "ComputerUseEnvironment2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCachedContentsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelSource))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AsyncBatchEmbedContentRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatusModelStage), TypeInfoPropertyName = "ModelStatusModelStage2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationSource))] + [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.TransferOwnershipResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Operation))] [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::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContext))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Hyperparameters))] + [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.UrlContextMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFileState), TypeInfoPropertyName = "GeneratedFileState2")] + [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.SpeechConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.MultiSpeakerVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchState), TypeInfoPropertyName = "GenerateContentBatchState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchStats))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DocumentState), TypeInfoPropertyName = "DocumentState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCallToolType), TypeInfoPropertyName = "ToolCallToolType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeakerVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseBlob))] + [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.StreamableHttpTransport))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] + [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.BatchEmbedContentsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImportFileRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchStats))] + [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.PromptFeedback))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedbackBlockReason), TypeInfoPropertyName = "PromptFeedbackBlockReason2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] + [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.ImageConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchEntryPoint))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Candidate))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatus))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatusModelStage), TypeInfoPropertyName = "ModelStatusModelStage2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFilesResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfigTaskType), TypeInfoPropertyName = "EmbedContentConfigTaskType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CandidateFinishReason), TypeInfoPropertyName = "CandidateFinishReason2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequestTaskType), TypeInfoPropertyName = "EmbedContentRequestTaskType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchStats))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchState), TypeInfoPropertyName = "EmbedContentBatchState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomLongRunningOperation))] + [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.GenerateContentRequestServiceTier), TypeInfoPropertyName = "GenerateContentRequestServiceTier2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingThreshold), TypeInfoPropertyName = "SafetySettingThreshold2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingCategory), TypeInfoPropertyName = "SafetySettingCategory2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfigMode), TypeInfoPropertyName = "FunctionCallingConfigMode2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [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 075a1cc2..92b7addd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,327 +28,327 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type0 { get; set; } + public global::Google.Gemini.FunctionCall? Type0 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type1 { get; set; } + public string? Type1 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type2 { get; set; } + public object? Type2 { get; set; } /// /// /// - public string? Type3 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type3 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type4 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type4 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type5 { get; set; } + public global::Google.Gemini.InlinedRequest? Type5 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type6 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type6 { get; set; } /// /// /// - public byte[]? Type7 { get; set; } + public global::Google.Gemini.TuningTask? Type7 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type8 { get; set; } + public global::Google.Gemini.Dataset? Type8 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type9 { get; set; } + public global::System.Collections.Generic.IList? Type9 { get; set; } /// /// /// - public double? Type10 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type10 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type11 { get; set; } + public global::Google.Gemini.Hyperparameters? Type11 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type12 { get; set; } + public global::Google.Gemini.RetrievedContext? Type12 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type13 { get; set; } + public global::System.Collections.Generic.IList? Type13 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type14 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type14 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type15 { get; set; } + public int? Type15 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type16 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type16 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type17 { get; set; } + public global::Google.Gemini.InlinedResponses? Type17 { get; set; } /// /// /// - public float? Type18 { get; set; } + public global::Google.Gemini.SearchTypes? Type18 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type19 { get; set; } + public global::Google.Gemini.WebSearch? Type19 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type20 { get; set; } + public global::Google.Gemini.ImageSearch? Type20 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type21 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type21 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type22 { get; set; } + public float? Type22 { get; set; } /// /// /// - public bool? Type23 { get; set; } + public global::Google.Gemini.GoogleMaps? Type23 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type24 { get; set; } + public bool? Type24 { get; set; } /// /// /// - public int? Type25 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type25 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type26 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type26 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type27 { get; set; } + public global::System.Collections.Generic.IList? Type27 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type28 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type28 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type29 { get; set; } + public global::Google.Gemini.GroundingChunk? Type29 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type30 { get; set; } + public global::Google.Gemini.Web? Type30 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type31 { get; set; } + public global::Google.Gemini.Maps? Type31 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type32 { get; set; } + public global::Google.Gemini.Image? Type32 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type33 { get; set; } + public global::Google.Gemini.TuningExamples? Type33 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type34 { get; set; } + public global::Google.Gemini.LatLng? Type34 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type35 { get; set; } + public double? Type35 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type36 { get; set; } + public global::Google.Gemini.TuningExample? Type36 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type37 { get; set; } + public global::Google.Gemini.Empty? Type37 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type38 { get; set; } + public global::Google.Gemini.CitationSource? Type38 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type39 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type39 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type40 { get; set; } + public global::System.Collections.Generic.IList? Type40 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type41 { get; set; } + public global::Google.Gemini.TunedModel? Type41 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type42 { get; set; } + public global::Google.Gemini.GoogleSearch? Type42 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type43 { get; set; } + public global::Google.Gemini.Interval? Type43 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type44 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type44 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type45 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type45 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type46 { get; set; } + public global::System.Collections.Generic.IList? Type46 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type47 { get; set; } + public global::Google.Gemini.Model? Type47 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type48 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type48 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type49 { get; set; } + public global::System.Collections.Generic.IList? Type49 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type50 { get; set; } + public global::Google.Gemini.GeneratedFile? Type50 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type51 { get; set; } + public global::Google.Gemini.ToolResponse? Type51 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type52 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type52 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type53 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type53 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type54 { get; set; } + public global::System.Collections.Generic.IList? Type54 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type55 { get; set; } + public global::System.Collections.Generic.IList? Type55 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type56 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type56 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type57 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type57 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type58 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type58 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type59 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type59 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type60 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type60 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type61 { get; set; } + public global::System.Collections.Generic.IList? Type61 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type62 { get; set; } + public global::Google.Gemini.CustomMetadata? Type62 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type63 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type63 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type64 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type64 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type65 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type65 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type66 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type66 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type67 { get; set; } + public global::Google.Gemini.File? Type67 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type68 { get; set; } + public global::Google.Gemini.Blob? Type68 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type69 { get; set; } + public byte[]? Type69 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type70 { get; set; } + public global::Google.Gemini.FunctionResponse? Type70 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type71 { get; set; } + public global::System.Collections.Generic.IList? Type71 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type72 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type72 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type73 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type73 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type74 { get; set; } + public global::System.Collections.Generic.IList? Type74 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type75 { get; set; } + public global::Google.Gemini.InlinedResponse? Type75 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type76 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type76 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type77 { get; set; } + public global::System.Collections.Generic.IList? Type77 { get; set; } /// /// /// - public global::Google.Gemini.File? Type78 { get; set; } + public global::Google.Gemini.Corpus? Type78 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type79 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type79 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type80 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type80 { get; set; } /// /// /// @@ -360,331 +360,331 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type83 { get; set; } + public global::Google.Gemini.FileSource? Type83 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type84 { get; set; } + public global::Google.Gemini.Status? Type84 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type85 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type85 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type86 { get; set; } + public global::Google.Gemini.Content? Type86 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type87 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type87 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type88 { get; set; } + public global::Google.Gemini.ToolConfig? Type88 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type89 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type89 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type90 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type90 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type91 { get; set; } + public global::Google.Gemini.Schema? Type91 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type92 { get; set; } + public global::System.Collections.Generic.IList? Type92 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type93 { get; set; } + public global::System.Collections.Generic.IList? Type93 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type94 { get; set; } + public global::Google.Gemini.SchemaType? Type94 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type95 { get; set; } + public global::System.Collections.Generic.Dictionary? Type95 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type96 { get; set; } + public global::Google.Gemini.UsageMetadata? Type96 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type97 { get; set; } + public global::System.Collections.Generic.IList? Type97 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type98 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type98 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type99 { get; set; } + public global::Google.Gemini.UrlMetadata? Type99 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type100 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type100 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type101 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type101 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type102 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type102 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type103 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type103 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type104 { get; set; } + public global::System.Collections.Generic.IList? Type104 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type105 { get; set; } + public global::Google.Gemini.Permission? Type105 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type106 { get; set; } + public global::Google.Gemini.VoiceConfig? Type106 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type107 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type107 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type108 { get; set; } + public global::System.Collections.Generic.IList? Type108 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type109 { get; set; } + public global::Google.Gemini.FileSearchStore? Type109 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type110 { get; set; } + public global::Google.Gemini.StringList? Type110 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type111 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type111 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type112 { get; set; } + public global::Google.Gemini.FileData? Type112 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type113 { get; set; } + public global::Google.Gemini.CodeExecution? Type113 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type114 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type114 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type115 { get; set; } + public global::System.Collections.Generic.IList? Type115 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type116 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type116 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type117 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type117 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type118 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type118 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type119 { get; set; } + public global::Google.Gemini.VideoMetadata? Type119 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type120 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type120 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type121 { get; set; } + public global::Google.Gemini.SafetyRating? Type121 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type122 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type122 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type123 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type123 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type124 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type124 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type125 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type125 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type126 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type126 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type127 { get; set; } + public global::System.Collections.Generic.IList? Type127 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type128 { get; set; } + public global::Google.Gemini.Document? Type128 { get; set; } /// /// /// - public object? Type129 { get; set; } + public global::System.Collections.Generic.IList? Type129 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type130 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type130 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type131 { get; set; } + public global::Google.Gemini.CachedContent? Type131 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type132 { get; set; } + public global::System.Collections.Generic.IList? Type132 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type133 { get; set; } + public global::Google.Gemini.Tool? Type133 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type134 { get; set; } + public global::System.Collections.Generic.IList? Type134 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type135 { get; set; } + public global::Google.Gemini.TopCandidates? Type135 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type136 { get; set; } + public global::System.Collections.Generic.IList? Type136 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type137 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type137 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type138 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type138 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type139 { get; set; } + public global::System.Collections.Generic.IList? Type139 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type140 { get; set; } + public global::System.Collections.Generic.IList? Type140 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type141 { get; set; } + public global::Google.Gemini.Part? Type141 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type142 { get; set; } + public global::Google.Gemini.ComputerUse? Type142 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type143 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type143 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type144 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type144 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type145 { get; set; } + public global::System.Collections.Generic.IList? Type145 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type146 { get; set; } + public global::Google.Gemini.InputConfig? Type146 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type147 { get; set; } + public global::Google.Gemini.InlinedRequests? Type147 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type148 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type148 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type149 { get; set; } + public global::System.Collections.Generic.IList? Type149 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type150 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type150 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type151 { get; set; } + public global::Google.Gemini.TunedModelSource? Type151 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type152 { get; set; } + public global::Google.Gemini.TunedModelState? Type152 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type153 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type153 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type154 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type154 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type155 { get; set; } + public global::Google.Gemini.ExecutableCode? Type155 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type156 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type156 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type157 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type157 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type158 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type158 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type159 { get; set; } + public global::Google.Gemini.Operation? Type159 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type160 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type160 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type161 { get; set; } + public global::System.Collections.Generic.IList? Type161 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type162 { get; set; } + public global::Google.Gemini.FileSearch? Type162 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type163 { get; set; } + public global::Google.Gemini.UrlContext? Type163 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type164 { get; set; } + public global::System.Collections.Generic.IList? Type164 { get; set; } /// /// /// @@ -696,396 +696,396 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.ImageConfig? Type167 { get; set; } + public global::Google.Gemini.UrlContextMetadata? 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.GenerationConfigResponseModalitie? Type169 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type169 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type170 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type170 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type171 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type171 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type172 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type172 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type173 { get; set; } + public global::System.Collections.Generic.IList? Type173 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type174 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type174 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type175 { get; set; } + public global::System.Collections.Generic.IList? Type175 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type176 { get; set; } + public global::Google.Gemini.McpServer? Type176 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type177 { get; set; } + public global::Google.Gemini.SpeechConfig? Type177 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type178 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type178 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type179 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type179 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type180 { get; set; } + public global::Google.Gemini.BatchStats? Type180 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type181 { get; set; } + public global::Google.Gemini.ToolCall? Type181 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type182 { get; set; } + public global::Google.Gemini.DocumentState? Type182 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type183 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type183 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type184 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type184 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type185 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type185 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type186 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type186 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type187 { get; set; } + public global::Google.Gemini.LogprobsResult? Type187 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type188 { get; set; } + public global::System.Collections.Generic.IList? Type188 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type189 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type189 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type190 { get; set; } + public global::System.Collections.Generic.Dictionary? Type190 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type191 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type191 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type192 { get; set; } + public global::System.Collections.Generic.IList? Type192 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type193 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type193 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type194 { get; set; } + public global::System.Collections.Generic.IList? Type194 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type195 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type195 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type196 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type196 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type197 { get; set; } + public global::Google.Gemini.PermissionRole? Type197 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type198 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type198 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type199 { get; set; } + public global::Google.Gemini.PromptFeedback? Type199 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type200 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type200 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type201 { get; set; } + public global::System.Collections.Generic.IList? Type201 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type202 { get; set; } + public global::Google.Gemini.GenerationConfig? Type202 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type203 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type203 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type204 { get; set; } + public global::System.Collections.Generic.IList? Type204 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type205 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type205 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type206 { get; set; } + public global::Google.Gemini.ImageConfig? Type206 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type207 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type207 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type208 { get; set; } + public global::System.Collections.Generic.IList? Type208 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type209 { get; set; } + public global::System.Collections.Generic.IList? Type209 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type210 { get; set; } + public global::Google.Gemini.Candidate? Type210 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type211 { get; set; } + public global::Google.Gemini.ModelStatus? Type211 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type212 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type212 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type213 { get; set; } + public global::Google.Gemini.CitationMetadata? Type213 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type214 { get; set; } + public global::System.Collections.Generic.IList? Type214 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type215 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type215 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type216 { get; set; } + public global::System.Collections.Generic.IList? Type216 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type217 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type217 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type218 { get; set; } + public global::System.Collections.Generic.IList? Type218 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type219 { get; set; } + public global::System.Collections.Generic.IList? Type219 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type220 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type220 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type221 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type221 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type222 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type222 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type223 { get; set; } + public global::System.Collections.Generic.IList? Type223 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type224 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type224 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type225 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type225 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type226 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type226 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type227 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type227 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type228 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type228 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type229 { get; set; } + public global::System.Collections.Generic.IList? Type229 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type230 { get; set; } + public global::Google.Gemini.SafetySetting? Type230 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type231 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type231 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type232 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type232 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type233 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type233 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type234 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type234 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType0 { get; set; } + public global::System.Collections.Generic.List? ListType0 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType1 { get; set; } + public global::System.Collections.Generic.List? ListType1 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType2 { get; set; } + public global::System.Collections.Generic.List? ListType2 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType3 { get; set; } + public global::System.Collections.Generic.List? ListType3 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType7 { get; set; } + public global::System.Collections.Generic.List? ListType7 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType8 { get; set; } + public global::System.Collections.Generic.List? ListType8 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType9 { get; set; } + public global::System.Collections.Generic.List? ListType9 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType10 { get; set; } + public global::System.Collections.Generic.List? ListType10 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType11 { get; set; } + public global::System.Collections.Generic.List? ListType11 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType12 { get; set; } + public global::System.Collections.Generic.List? ListType12 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType13 { get; set; } + public global::System.Collections.Generic.List? ListType13 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType14 { get; set; } + public global::System.Collections.Generic.List? ListType14 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType15 { get; set; } + public global::System.Collections.Generic.List? ListType15 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType16 { get; set; } + public global::System.Collections.Generic.List? ListType16 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType17 { get; set; } + public global::System.Collections.Generic.List? ListType17 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType18 { get; set; } + public global::System.Collections.Generic.List? ListType18 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType19 { get; set; } + public global::System.Collections.Generic.List? ListType19 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType20 { get; set; } + public global::System.Collections.Generic.List? ListType20 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType21 { get; set; } + public global::System.Collections.Generic.List? ListType21 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType22 { get; set; } + public global::System.Collections.Generic.List? ListType22 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType23 { get; set; } + public global::System.Collections.Generic.List? ListType23 { get; set; } /// /// /// - 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; } /// /// /// @@ -1093,58 +1093,58 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - 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 208866c4..2d96e683 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class AttributionSourceId { - /// - /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("semanticRetrieverChunk")] - public global::Google.Gemini.SemanticRetrieverChunk? SemanticRetrieverChunk { get; set; } - /// /// Identifier for a part within a `GroundingPassage`. /// [global::System.Text.Json.Serialization.JsonPropertyName("groundingPassage")] public global::Google.Gemini.GroundingPassageId? GroundingPassage { get; set; } + /// + /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("semanticRetrieverChunk")] + public global::Google.Gemini.SemanticRetrieverChunk? SemanticRetrieverChunk { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class AttributionSourceId /// /// Initializes a new instance of the class. /// - /// - /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. - /// /// /// Identifier for a part within a `GroundingPassage`. /// + /// + /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public AttributionSourceId( - global::Google.Gemini.SemanticRetrieverChunk? semanticRetrieverChunk, - global::Google.Gemini.GroundingPassageId? groundingPassage) + global::Google.Gemini.GroundingPassageId? groundingPassage, + global::Google.Gemini.SemanticRetrieverChunk? semanticRetrieverChunk) { - this.SemanticRetrieverChunk = semanticRetrieverChunk; this.GroundingPassage = groundingPassage; + this.SemanticRetrieverChunk = semanticRetrieverChunk; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs index 72da3cc5..2c8d807d 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 @@ -15,6 +15,13 @@ public sealed partial class BatchStats [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] public string? RequestCount { get; set; } + /// + /// Output only. The number of requests that were successfully processed.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] + public string? SuccessfulRequestCount { get; set; } + /// /// Output only. The number of requests that failed to be processed.
/// Included only in responses @@ -29,13 +36,6 @@ public sealed partial class BatchStats [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] public string? PendingRequestCount { get; set; } - /// - /// Output only. The number of requests that were successfully processed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -49,6 +49,10 @@ public sealed partial class BatchStats /// 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.
/// Included only in responses @@ -57,23 +61,19 @@ public sealed partial class BatchStats /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - /// - /// Output only. The number of requests that were successfully processed.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( string? requestCount, + string? successfulRequestCount, string? failedRequestCount, - string? pendingRequestCount, - string? successfulRequestCount) + string? pendingRequestCount) { this.RequestCount = requestCount; + this.SuccessfulRequestCount = successfulRequestCount; this.FailedRequestCount = failedRequestCount; this.PendingRequestCount = pendingRequestCount; - this.SuccessfulRequestCount = successfulRequestCount; } /// 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 92835139..e4e959b0 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 @@ -9,36 +9,42 @@ namespace Google.Gemini public sealed partial class CachedContent { /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Input only. New TTL for this resource, input only. + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { 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; } /// - /// Output only. When the cache entry was last updated in UTC time.
- /// Included only in responses + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] + public string? ExpireTime { get; set; } /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// Optional. Input only. Immutable. The content to cache. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } + + /// + /// Metadata on the usage of the cached content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { 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. @@ -53,35 +59,29 @@ public sealed partial class CachedContent public global::Google.Gemini.ToolConfig? ToolConfig { 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] - public string? ExpireTime { get; set; } - - /// - /// 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. + /// Input only. New TTL for this resource, input only. /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] + public string? Ttl { get; set; } /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Metadata on the usage of the cached content. + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -92,22 +92,25 @@ public sealed partial class CachedContent /// /// Initializes a new instance of the class. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Output only. Creation time of the cache entry.
+ /// + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
/// Included only in responses /// /// /// Output only. When the cache entry was last updated in UTC time.
/// Included only in responses /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// Metadata on the usage of the cached content. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. @@ -115,51 +118,48 @@ public sealed partial class CachedContent /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// Output only. Creation time of the cache entry.
+ /// Included only in responses + /// + /// + /// Input only. New TTL for this resource, input only. /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// - /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses - /// - /// - /// Metadata on the usage of the cached content. + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( - global::System.Collections.Generic.IList? tools, - string? ttl, - string? createTime, + string? name, string? updateTime, - string? model, + global::System.Collections.Generic.IList? tools, + string? expireTime, + global::System.Collections.Generic.IList? contents, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, global::Google.Gemini.Content? systemInstruction, global::Google.Gemini.ToolConfig? toolConfig, - string? expireTime, + string? createTime, + string? ttl, string? displayName, - global::System.Collections.Generic.IList? contents, - string? name, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata) + string? model) { - this.Tools = tools; - this.Ttl = ttl; - this.CreateTime = createTime; + this.Name = name; this.UpdateTime = updateTime; - this.Model = model; - this.SystemInstruction = systemInstruction; - this.ToolConfig = toolConfig; + this.Tools = tools; this.ExpireTime = expireTime; - this.DisplayName = displayName; this.Contents = contents; - this.Name = name; this.UsageMetadata = usageMetadata; + this.SystemInstruction = systemInstruction; + this.ToolConfig = toolConfig; + this.CreateTime = createTime; + this.Ttl = ttl; + this.DisplayName = displayName; + this.Model = model; } /// 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 55d6e6d5..6db67681 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs @@ -9,18 +9,24 @@ namespace Google.Gemini public sealed partial class Candidate { /// - /// Output only. Index of the candidate in the list of response candidates.
+ /// Output only. Average log probability score of the candidate.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] + public double? AvgLogprobs { get; set; } /// - /// Output only. Token count for this candidate.
+ /// 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("tokenCount")] - public int? TokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } + + /// + /// A collection of source attributions for a piece of content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] + public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } /// /// Metadata returned to client when grounding is enabled. @@ -29,11 +35,11 @@ public sealed partial class Candidate public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Output only. Token count for this candidate.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] - public string? FinishMessage { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] + public int? TokenCount { get; set; } /// /// Metadata related to url context retrieval tool. @@ -42,24 +48,25 @@ public sealed partial class Candidate public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// Output only. Index of the candidate in the list of response candidates.
+ /// 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("index")] + public int? Index { get; set; } /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] - public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishReason")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] + public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses + /// Logprobs Result /// - [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] - public double? AvgLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] + public global::Google.Gemini.LogprobsResult? LogprobsResult { 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. @@ -68,24 +75,17 @@ public sealed partial class Candidate 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 - /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishReason")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] - public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } - - /// - /// A collection of source attributions for a piece of content. + /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// - [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] - public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } /// - /// Logprobs Result + /// 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("logprobsResult")] - public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] + public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -96,77 +96,77 @@ public sealed partial class Candidate /// /// Initializes a new instance of the class. /// - /// - /// Output only. Index of the candidate in the list of response candidates.
+ /// + /// Output only. Average log probability score of the candidate.
/// Included only in responses /// - /// - /// Output only. Token count for this candidate.
+ /// + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
/// Included only in responses /// + /// + /// A collection of source attributions for a piece of content. + /// /// /// Metadata returned to client when grounding is enabled. /// - /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// + /// Output only. Token count for this candidate.
/// Included only in responses /// /// /// Metadata related to url context retrieval tool. /// - /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. - /// - /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
- /// Included only in responses - /// - /// - /// Output only. Average log probability score of the candidate.
+ /// + /// Output only. Index of the candidate in the list of response candidates.
/// Included only in responses /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// - /// - /// A collection of source attributions for a piece of content. - /// /// /// Logprobs Result /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( - int? index, - int? tokenCount, - global::Google.Gemini.GroundingMetadata? groundingMetadata, + double? avgLogprobs, string? finishMessage, + global::Google.Gemini.CitationMetadata? citationMetadata, + global::Google.Gemini.GroundingMetadata? groundingMetadata, + int? tokenCount, global::Google.Gemini.UrlContextMetadata? urlContextMetadata, - global::System.Collections.Generic.IList? safetyRatings, - global::System.Collections.Generic.IList? groundingAttributions, - double? avgLogprobs, - global::Google.Gemini.Content? content, + int? index, global::Google.Gemini.CandidateFinishReason? finishReason, - global::Google.Gemini.CitationMetadata? citationMetadata, - global::Google.Gemini.LogprobsResult? logprobsResult) + global::Google.Gemini.LogprobsResult? logprobsResult, + global::Google.Gemini.Content? content, + global::System.Collections.Generic.IList? safetyRatings, + global::System.Collections.Generic.IList? groundingAttributions) { - this.Index = index; - this.TokenCount = tokenCount; - this.GroundingMetadata = groundingMetadata; + this.AvgLogprobs = avgLogprobs; this.FinishMessage = finishMessage; + this.CitationMetadata = citationMetadata; + this.GroundingMetadata = groundingMetadata; + this.TokenCount = tokenCount; this.UrlContextMetadata = urlContextMetadata; - this.SafetyRatings = safetyRatings; - this.GroundingAttributions = groundingAttributions; - this.AvgLogprobs = avgLogprobs; - this.Content = content; + this.Index = index; this.FinishReason = finishReason; - this.CitationMetadata = citationMetadata; this.LogprobsResult = logprobsResult; + this.Content = content; + this.SafetyRatings = safetyRatings; + this.GroundingAttributions = groundingAttributions; } /// 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 62bb0edf..6d91af4b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class CitationSource { - /// - /// Optional. End of the attributed segment, exclusive. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] - public int? EndIndex { get; set; } - /// /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. /// @@ -26,6 +20,12 @@ public sealed partial class CitationSource [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] public int? StartIndex { get; set; } + /// + /// Optional. End of the attributed segment, exclusive. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } + /// /// Optional. URI that is attributed as a source for a portion of the text. /// @@ -41,15 +41,15 @@ public sealed partial class CitationSource /// /// Initializes a new instance of the class. /// - /// - /// Optional. End of the attributed segment, exclusive. - /// /// /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. /// /// /// 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. + /// /// /// Optional. URI that is attributed as a source for a portion of the text. /// @@ -57,14 +57,14 @@ public sealed partial class CitationSource [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( - int? endIndex, string? license, int? startIndex, + int? endIndex, string? uri) { - this.EndIndex = endIndex; this.License = license; this.StartIndex = startIndex; + this.EndIndex = endIndex; this.Uri = uri; } 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 1669c1ec..590acbee 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class CodeExecutionResult { - /// - /// Required. Outcome of the code execution. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("outcome")] - [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. /// @@ -27,6 +20,13 @@ public sealed partial class CodeExecutionResult [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } + /// + /// Required. Outcome of the code execution. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("outcome")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter))] + public global::Google.Gemini.CodeExecutionResultOutcome? Outcome { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class CodeExecutionResult /// /// Initializes a new instance of the class. /// - /// - /// Required. Outcome of the code execution. - /// /// /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. /// /// /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. /// + /// + /// Required. Outcome of the code execution. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CodeExecutionResult( - global::Google.Gemini.CodeExecutionResultOutcome? outcome, string? output, - string? id) + string? id, + global::Google.Gemini.CodeExecutionResultOutcome? outcome) { - this.Outcome = outcome; this.Output = output; this.Id = id; + this.Outcome = outcome; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs index ee375068..391e4a13 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ComputerUse { + /// + /// Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("excludedPredefinedFunctions")] + public global::System.Collections.Generic.IList? ExcludedPredefinedFunctions { get; set; } + /// /// Required. The environment being operated. /// @@ -15,12 +21,6 @@ public sealed partial class ComputerUse [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter))] public global::Google.Gemini.ComputerUseEnvironment? Environment { get; set; } - /// - /// Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("excludedPredefinedFunctions")] - public global::System.Collections.Generic.IList? ExcludedPredefinedFunctions { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class ComputerUse /// /// Initializes a new instance of the class. /// - /// - /// Required. The environment being operated. - /// /// /// Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. /// + /// + /// Required. The environment being operated. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ComputerUse( - global::Google.Gemini.ComputerUseEnvironment? environment, - global::System.Collections.Generic.IList? excludedPredefinedFunctions) + global::System.Collections.Generic.IList? excludedPredefinedFunctions, + global::Google.Gemini.ComputerUseEnvironment? environment) { - this.Environment = environment; this.ExcludedPredefinedFunctions = excludedPredefinedFunctions; + this.Environment = environment; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs index 37c75a47..2c1f1bec 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Content { - /// - /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("parts")] - public global::System.Collections.Generic.IList? Parts { get; set; } - /// /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. /// [global::System.Text.Json.Serialization.JsonPropertyName("role")] public string? Role { get; set; } + /// + /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parts")] + public global::System.Collections.Generic.IList? Parts { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Content /// /// Initializes a new instance of the class. /// - /// - /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. - /// /// /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. /// + /// + /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Content( - global::System.Collections.Generic.IList? parts, - string? role) + string? role, + global::System.Collections.Generic.IList? parts) { - this.Parts = parts; this.Role = role; + this.Parts = parts; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs index 80d0cd23..ded964d7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class Corpus { - /// - /// Output only. 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 - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Output only. The Timestamp of when the `Corpus` was created.
/// Included only in responses @@ -23,11 +16,11 @@ public sealed partial class Corpus public string? CreateTime { get; set; } /// - /// Output only. The Timestamp of when the `Corpus` was last updated.
+ /// 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 /// - [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. 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" @@ -35,6 +28,13 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Output only. The Timestamp of when the `Corpus` was last updated.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,34 +44,34 @@ public sealed partial class Corpus /// /// Initializes a new instance of the class. /// - /// - /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
- /// Included only in responses - /// /// /// Output only. The Timestamp of when the `Corpus` was created.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `Corpus` was last updated.
+ /// + /// 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 /// /// /// 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 + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( - string? name, string? createTime, - string? updateTime, - string? displayName) + string? name, + string? displayName, + string? updateTime) { - this.Name = name; this.CreateTime = createTime; - this.UpdateTime = updateTime; + this.Name = name; this.DisplayName = displayName; + this.UpdateTime = updateTime; } /// 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 281ef6cf..4fb3976c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class CustomLongRunningOperation { /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. @@ -26,18 +20,24 @@ public sealed partial class CustomLongRunningOperation [global::System.Text.Json.Serialization.JsonPropertyName("response")] public object? Response { get; set; } - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } - /// /// 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). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + + /// + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class CustomLongRunningOperation /// /// Initializes a new instance of the class. /// - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. - /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// /// /// 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 server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomLongRunningOperation( - string? name, - global::Google.Gemini.Status? error, - object? response, bool? done, - object? metadata) + object? response, + object? metadata, + global::Google.Gemini.Status? error, + string? name) { - this.Name = name; - this.Error = error; - this.Response = response; this.Done = done; + this.Response = response; this.Metadata = metadata; + this.Error = error; + 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 e3b9a172..356bd5a3 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 @@ -8,30 +8,30 @@ 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.StringList? StringListValue { get; set; } - /// /// The numeric value of the metadata to store. /// [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] public float? NumericValue { get; set; } + /// + /// The string value of the metadata to store. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] + public string? StringValue { get; set; } + /// /// Required. The key of the metadata to store. /// [global::System.Text.Json.Serialization.JsonPropertyName("key")] public string? Key { get; set; } + /// + /// User provided string values assigned to a single metadata key. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] + public global::Google.Gemini.StringList? StringListValue { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class CustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// The string value of the metadata to store. - /// - /// - /// User provided string values assigned to a single metadata key. - /// /// /// The numeric value of the metadata to store. /// + /// + /// The string value of the metadata to store. + /// /// /// Required. The key of the metadata to store. /// + /// + /// User provided string values assigned to a single metadata key. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( - string? stringValue, - global::Google.Gemini.StringList? stringListValue, float? numericValue, - string? key) + string? stringValue, + string? key, + global::Google.Gemini.StringList? stringListValue) { - this.StringValue = stringValue; - this.StringListValue = stringListValue; this.NumericValue = numericValue; + this.StringValue = stringValue; this.Key = key; + this.StringListValue = stringListValue; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs index 2ca2cb48..8b28d85c 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 +9,10 @@ namespace Google.Gemini public sealed partial class Document { /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// 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; } /// /// Output only. The Timestamp of when the `Document` was last updated.
@@ -21,6 +21,12 @@ public sealed partial class Document [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } + /// + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + /// /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses @@ -28,6 +34,12 @@ public sealed partial class Document [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { get; set; } + /// + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + /// /// Output only. Current state of the `Document`.
/// Included only in responses @@ -43,18 +55,6 @@ public sealed partial class Document [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] public string? SizeBytes { get; set; } - /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// 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 mime type of the Document.
/// Included only in responses @@ -71,17 +71,23 @@ public sealed partial class Document /// /// Initializes a new instance of the class. /// - /// - /// 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` /// /// /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// + /// + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// /// /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// + /// + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// /// /// Output only. Current state of the `Document`.
/// Included only in responses @@ -90,12 +96,6 @@ public sealed partial class Document /// Output only. The size of raw bytes ingested into the Document.
/// Included only in responses /// - /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` - /// - /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. - /// /// /// Output only. The mime type of the Document.
/// Included only in responses @@ -104,22 +104,22 @@ public sealed partial class Document [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - string? displayName, + string? name, string? updateTime, + global::System.Collections.Generic.IList? customMetadata, string? createTime, + string? displayName, global::Google.Gemini.DocumentState? state, string? sizeBytes, - string? name, - global::System.Collections.Generic.IList? customMetadata, string? mimeType) { - this.DisplayName = displayName; + this.Name = name; this.UpdateTime = updateTime; + this.CustomMetadata = customMetadata; this.CreateTime = createTime; + this.DisplayName = displayName; this.State = state; this.SizeBytes = sizeBytes; - this.Name = name; - this.CustomMetadata = customMetadata; this.MimeType = mimeType; } 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 66082088..2ab0768f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatch { - /// - /// Stats about the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } - /// /// Required. The user-defined name of this batch. /// @@ -21,17 +15,10 @@ public sealed partial class EmbedContentBatch public string? DisplayName { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -45,6 +32,12 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } + /// /// 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. /// @@ -58,6 +51,14 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { get; set; } + /// + /// Output only. The state of the batch.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] + public global::Google.Gemini.EmbedContentBatchState? State { get; set; } + /// /// Output only. The time at which the batch processing completed.
/// Included only in responses @@ -66,19 +67,18 @@ public sealed partial class EmbedContentBatch public string? EndTime { get; set; } /// - /// Output only. The time at which the batch was last updated.
+ /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Output only. The state of the batch.
+ /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] - public global::Google.Gemini.EmbedContentBatchState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,18 +89,11 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Stats about the batch. - /// /// /// Required. The user-defined name of this batch. /// - /// - /// 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. + /// + /// Stats about the batch. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -108,6 +101,9 @@ public sealed partial class EmbedContentBatch /// /// Configures the input to the batch request. /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// @@ -115,45 +111,49 @@ public sealed partial class EmbedContentBatch /// Output only. The time at which the batch was created.
/// Included only in responses /// + /// + /// Output only. The state of the batch.
+ /// Included only in responses + /// /// /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - /// - /// Output only. The time at which the batch was last updated.
+ /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - /// - /// Output only. The state of the batch.
+ /// + /// Output only. The time at which the batch was last updated.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( - global::Google.Gemini.EmbedContentBatchStats? batchStats, string? displayName, - string? name, - global::Google.Gemini.EmbedContentBatchOutput? output, + global::Google.Gemini.EmbedContentBatchStats? batchStats, string? model, global::Google.Gemini.InputEmbedContentConfig? inputConfig, + global::Google.Gemini.EmbedContentBatchOutput? output, string? priority, string? createTime, + global::Google.Gemini.EmbedContentBatchState? state, string? endTime, - string? updateTime, - global::Google.Gemini.EmbedContentBatchState? state) + string? name, + string? updateTime) { - this.BatchStats = batchStats; this.DisplayName = displayName; - this.Name = name; - this.Output = output; + this.BatchStats = batchStats; this.Model = model; this.InputConfig = inputConfig; + this.Output = output; this.Priority = priority; this.CreateTime = createTime; + this.State = state; this.EndTime = endTime; + this.Name = name; this.UpdateTime = updateTime; - this.State = state; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs index c7ac9b5f..973d4848 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatchOutput { + /// + /// The responses to the requests in the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] + public global::Google.Gemini.InlinedEmbedContentResponses? InlinedResponses { get; set; } + /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses @@ -15,12 +21,6 @@ public sealed partial class EmbedContentBatchOutput [global::System.Text.Json.Serialization.JsonPropertyName("responsesFile")] public string? ResponsesFile { get; set; } - /// - /// The responses to the requests in the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] - public global::Google.Gemini.InlinedEmbedContentResponses? InlinedResponses { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class EmbedContentBatchOutput /// /// Initializes a new instance of the class. /// + /// + /// The responses to the requests in the batch. + /// /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses /// - /// - /// The responses to the requests in the batch. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchOutput( - string? responsesFile, - global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses) + global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses, + string? responsesFile) { - this.ResponsesFile = responsesFile; this.InlinedResponses = inlinedResponses; + this.ResponsesFile = responsesFile; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs index 4741eebf..531be7a3 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 @@ -16,18 +16,18 @@ public sealed partial class EmbedContentBatchStats public string? PendingRequestCount { get; set; } /// - /// Output only. The number of requests that were successfully processed.
+ /// Output only. The number of requests in the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] + public string? RequestCount { get; set; } /// - /// Output only. The number of requests in the batch.
+ /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] + public string? SuccessfulRequestCount { get; set; } /// /// Output only. The number of requests that failed to be processed.
@@ -49,14 +49,14 @@ public sealed partial class EmbedContentBatchStats /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - /// - /// Output only. The number of requests that were successfully processed.
- /// Included only in responses - /// /// /// Output only. The number of requests in the batch.
/// Included only in responses /// + /// + /// Output only. The number of requests that were successfully processed.
+ /// Included only in responses + /// /// /// Output only. The number of requests that failed to be processed.
/// Included only in responses @@ -66,13 +66,13 @@ public sealed partial class EmbedContentBatchStats #endif public EmbedContentBatchStats( string? pendingRequestCount, - string? successfulRequestCount, string? requestCount, + string? successfulRequestCount, string? failedRequestCount) { this.PendingRequestCount = pendingRequestCount; - this.SuccessfulRequestCount = successfulRequestCount; this.RequestCount = requestCount; + this.SuccessfulRequestCount = successfulRequestCount; this.FailedRequestCount = failedRequestCount; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs index 7b7fa2dd..96514e7e 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 +9,16 @@ namespace Google.Gemini public sealed partial class EmbedContentConfig { /// - /// Optional. Whether to enable OCR for document content. + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// - [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] - public bool? DocumentOcr { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + public int? OutputDimensionality { get; set; } + + /// + /// Optional. Whether to extract audio from video content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] + public bool? AudioTrackExtraction { get; set; } /// /// Optional. The title for the text. @@ -27,12 +33,6 @@ public sealed partial class EmbedContentConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter))] public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } - /// - /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - public int? OutputDimensionality { get; set; } - /// /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// @@ -40,10 +40,10 @@ public sealed partial class EmbedContentConfig public bool? AutoTruncate { get; set; } /// - /// Optional. Whether to extract audio from video content. + /// Optional. Whether to enable OCR for document content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] - public bool? AudioTrackExtraction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] + public bool? DocumentOcr { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -54,8 +54,11 @@ public sealed partial class EmbedContentConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. Whether to enable OCR for document content. + /// + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. + /// + /// + /// Optional. Whether to extract audio from video content. /// /// /// Optional. The title for the text. @@ -63,32 +66,29 @@ public sealed partial class EmbedContentConfig /// /// Optional. The task type of the embedding. /// - /// - /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. - /// /// /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// - /// - /// Optional. Whether to extract audio from video content. + /// + /// Optional. Whether to enable OCR for document content. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentConfig( - bool? documentOcr, + int? outputDimensionality, + bool? audioTrackExtraction, string? title, global::Google.Gemini.EmbedContentConfigTaskType? taskType, - int? outputDimensionality, bool? autoTruncate, - bool? audioTrackExtraction) + bool? documentOcr) { - this.DocumentOcr = documentOcr; + this.OutputDimensionality = outputDimensionality; + this.AudioTrackExtraction = audioTrackExtraction; this.Title = title; this.TaskType = taskType; - this.OutputDimensionality = outputDimensionality; this.AutoTruncate = autoTruncate; - this.AudioTrackExtraction = audioTrackExtraction; + this.DocumentOcr = documentOcr; } /// 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 d2f3aa00..fc39261d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs @@ -11,17 +11,10 @@ namespace Google.Gemini public sealed partial class EmbedContentRequest { /// - /// 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.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. + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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("title")] - [global::System.Obsolete("This property marked as deprecated.")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// /// Configurations for the EmbedContent request. @@ -29,6 +22,13 @@ public sealed partial class EmbedContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("embedContentConfig")] public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { get; set; } + /// + /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + [global::System.Obsolete("This property marked as deprecated.")] + public int? OutputDimensionality { get; set; } + /// /// Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). /// @@ -38,17 +38,17 @@ public sealed partial class EmbedContentRequest public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } /// - /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). + /// 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("outputDimensionality")] + [global::System.Text.Json.Serialization.JsonPropertyName("title")] [global::System.Obsolete("This property marked as deprecated.")] - public int? OutputDimensionality { get; set; } + public string? Title { 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 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("content")] - public global::Google.Gemini.Content? Content { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,26 +59,26 @@ public sealed partial class EmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Configurations for the EmbedContent 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 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}` /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentRequest( - string? model, + global::Google.Gemini.Content? content, global::Google.Gemini.EmbedContentConfig? embedContentConfig, - global::Google.Gemini.Content? content) + string? model) { - this.Model = model; - this.EmbedContentConfig = embedContentConfig; this.Content = content; + this.EmbedContentConfig = embedContentConfig; + this.Model = model; } /// 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 5c161b4e..3be926cd 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 ab199b5f..1de5992f 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 @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class ExecutableCode { /// - /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. + /// Required. Programming language of the `code`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("language")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter))] + public global::Google.Gemini.ExecutableCodeLanguage? Language { get; set; } /// /// Required. The code to be executed. @@ -21,11 +22,10 @@ public sealed partial class ExecutableCode public string? Code { get; set; } /// - /// Required. Programming language of the `code`. + /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("language")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter))] - public global::Google.Gemini.ExecutableCodeLanguage? Language { get; set; } + [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. /// - /// - /// Required. Programming language of the `code`. + /// + /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ExecutableCode( - string? id, + global::Google.Gemini.ExecutableCodeLanguage? language, string? code, - global::Google.Gemini.ExecutableCodeLanguage? language) + string? id) { - this.Id = id; - this.Code = code; 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 42a711e1..b51aa34f 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 @@ -9,31 +9,11 @@ namespace Google.Gemini public sealed partial class File { /// - /// Output only. Size of the file in bytes.
- /// Included only in responses - /// - [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.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { 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; } - - /// - /// 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; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { 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` @@ -42,18 +22,19 @@ public sealed partial class File public string? Name { 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; } /// - /// Source of the File. + /// Output only. Processing state of the File.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter))] - public global::Google.Gemini.FileSource? Source { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] + public global::Google.Gemini.FileState? State { get; set; } /// /// Output only. The timestamp of when the `File` was created.
@@ -63,26 +44,24 @@ public sealed partial class File public string? CreateTime { get; set; } /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// 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("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// - /// Output only. Processing state of the File.
- /// Included only in responses + /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] - public global::Google.Gemini.FileState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. The uri of the `File`.
+ /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Metadata for a video `File`. @@ -91,17 +70,38 @@ public sealed partial class File public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } /// - /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" + /// Output only. Size of the file in bytes.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// Output only. MIME type of the file.
+ /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] + public byte[]? Sha256Hash { get; set; } + + /// + /// Output only. The download uri of the `File`.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { 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; } + + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -112,90 +112,90 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// - /// - /// 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.
- /// Included only in responses - /// - /// - /// Output only. The download uri of the `File`.
+ /// + /// Output only. The uri of the `File`.
/// Included only in responses /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// /// /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` /// - /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// + /// Output only. MIME type of the file.
/// Included only in responses /// - /// - /// Source of the File. + /// + /// Output only. Processing state of the File.
+ /// Included only in responses /// /// /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// + /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - /// - /// Output only. Processing state of the File.
- /// Included only in responses + /// + /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// - /// - /// Output only. The uri of the `File`.
+ /// + /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// /// /// Metadata for a video `File`. /// - /// - /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" + /// + /// Output only. Size of the file in bytes.
+ /// Included only in responses /// - /// - /// Output only. MIME type of the file.
+ /// + /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// + /// + /// Output only. The download uri of the `File`.
+ /// Included only in responses + /// + /// + /// 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). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - string? sizeBytes, - string? expirationTime, - string? downloadUri, - global::Google.Gemini.Status? error, + string? uri, string? name, - byte[]? sha256Hash, - global::Google.Gemini.FileSource? source, + string? mimeType, + global::Google.Gemini.FileState? state, string? createTime, + string? expirationTime, + string? displayName, string? updateTime, - global::Google.Gemini.FileState? state, - string? uri, global::Google.Gemini.VideoFileMetadata? videoMetadata, - string? displayName, - string? mimeType) + string? sizeBytes, + byte[]? sha256Hash, + string? downloadUri, + global::Google.Gemini.FileSource? source, + global::Google.Gemini.Status? error) { - this.SizeBytes = sizeBytes; - this.ExpirationTime = expirationTime; - this.DownloadUri = downloadUri; - this.Error = error; + this.Uri = uri; this.Name = name; - this.Sha256Hash = sha256Hash; - this.Source = source; + this.MimeType = mimeType; + this.State = state; this.CreateTime = createTime; + this.ExpirationTime = expirationTime; + this.DisplayName = displayName; this.UpdateTime = updateTime; - this.State = state; - this.Uri = uri; this.VideoMetadata = videoMetadata; - this.DisplayName = displayName; - this.MimeType = mimeType; + this.SizeBytes = sizeBytes; + this.Sha256Hash = sha256Hash; + this.DownloadUri = downloadUri; + this.Source = source; + this.Error = error; } /// 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 c4b53589..941bbd05 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class FileSearch { /// - /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. + /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] - public string? MetadataFilter { get; set; } + [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. @@ -21,10 +21,10 @@ public sealed partial class FileSearch public int? TopK { get; set; } /// - /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` + /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStoreNames")] - public global::System.Collections.Generic.IList? FileSearchStoreNames { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] + public string? MetadataFilter { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class FileSearch /// /// Initializes a new instance of the class. /// - /// - /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. + /// + /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// /// /// Optional. The number of semantic retrieval chunks to retrieve. /// - /// - /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` + /// + /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( - string? metadataFilter, + global::System.Collections.Generic.IList? fileSearchStoreNames, int? topK, - global::System.Collections.Generic.IList? fileSearchStoreNames) + string? metadataFilter) { - this.MetadataFilter = 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 f3022976..93f20973 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 @@ -9,18 +9,25 @@ namespace Google.Gemini public sealed partial class FileSearchStore { /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] + public string? PendingDocumentsCount { 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`.
@@ -30,17 +37,18 @@ public sealed partial class FileSearchStore public string? SizeBytes { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] - public string? FailedDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// 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("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] + public string? ActiveDocumentsCount { get; set; } /// /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. @@ -49,25 +57,17 @@ public sealed partial class FileSearchStore public string? EmbeddingModel { get; set; } /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
- /// Included only in responses + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// - [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] - public string? ActiveDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] - public string? PendingDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -78,63 +78,63 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
- /// Included only in responses - /// /// /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - /// - /// 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. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// - /// - /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. + /// + /// Output only. The 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. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// + /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// /// /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// + /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. + /// + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + /// + /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? createTime, string? updateTime, - string? sizeBytes, - string? failedDocumentsCount, - string? displayName, - string? embeddingModel, string? name, + string? pendingDocumentsCount, + string? sizeBytes, + string? createTime, string? activeDocumentsCount, - string? pendingDocumentsCount) + string? embeddingModel, + string? displayName, + string? failedDocumentsCount) { - this.CreateTime = createTime; this.UpdateTime = updateTime; - this.SizeBytes = sizeBytes; - this.FailedDocumentsCount = failedDocumentsCount; - this.DisplayName = displayName; - this.EmbeddingModel = embeddingModel; this.Name = name; - this.ActiveDocumentsCount = activeDocumentsCount; this.PendingDocumentsCount = pendingDocumentsCount; + this.SizeBytes = sizeBytes; + this.CreateTime = createTime; + this.ActiveDocumentsCount = activeDocumentsCount; + this.EmbeddingModel = embeddingModel; + this.DisplayName = displayName; + this.FailedDocumentsCount = failedDocumentsCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs index 310f34cc..d8965a5f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class FunctionCall { + /// + /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// @@ -20,12 +26,6 @@ public sealed partial class FunctionCall [global::System.Text.Json.Serialization.JsonPropertyName("args")] public object? Args { get; set; } - /// - /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FunctionCall /// /// Initializes a new instance of the class. /// + /// + /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. + /// /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// /// /// Optional. The function parameters and values in JSON object format. /// - /// - /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( + string? id, string? name, - object? args, - string? id) + object? args) { + this.Id = id; this.Name = name; this.Args = args; - this.Id = id; } /// 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 52203c3b..363e72ee 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 +9,22 @@ namespace Google.Gemini public sealed partial class FunctionDeclaration { /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] + public global::Google.Gemini.Schema? Parameters { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.Schema? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] + public object? ParametersJsonSchema { get; set; } + + /// + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. @@ -33,17 +39,11 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonPropertyName("description")] public string? Description { get; set; } - /// - /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] - public object? ParametersJsonSchema { get; set; } - /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] - public global::Google.Gemini.Schema? Parameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.Schema? Response { get; set; } /// /// 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`. @@ -60,22 +60,22 @@ public sealed partial class FunctionDeclaration /// /// Initializes a new instance of the class. /// + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// + /// Optional. 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. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// /// /// Required. A brief description of the function. /// - /// - /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. - /// - /// + /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// /// @@ -85,20 +85,20 @@ public sealed partial class FunctionDeclaration [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( + global::Google.Gemini.Schema? parameters, + object? parametersJsonSchema, string? name, - global::Google.Gemini.Schema? response, global::Google.Gemini.FunctionDeclarationBehavior? behavior, string? description, - object? parametersJsonSchema, - global::Google.Gemini.Schema? parameters, + global::Google.Gemini.Schema? response, object? responseJsonSchema) { + this.Parameters = parameters; + this.ParametersJsonSchema = parametersJsonSchema; this.Name = name; - this.Response = response; this.Behavior = behavior; this.Description = description; - this.ParametersJsonSchema = parametersJsonSchema; - this.Parameters = parameters; + this.Response = response; this.ResponseJsonSchema = responseJsonSchema; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs index 09531226..b58f43da 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 @@ -15,10 +15,10 @@ 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. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parts")] + public global::System.Collections.Generic.IList? Parts { get; set; } /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. @@ -27,23 +27,23 @@ public sealed partial class FunctionResponse public string? Id { get; set; } /// - /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. + /// 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("willContinue")] - public bool? WillContinue { 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. + /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parts")] - public global::System.Collections.Generic.IList? Parts { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } /// - /// Optional. 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; } /// /// Additional properties that are not explicitly defined in the schema @@ -57,38 +57,38 @@ public sealed partial class FunctionResponse /// /// 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. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// - /// - /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. - /// - /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. - /// /// /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// + /// + /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. + /// + /// + /// 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`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( string? name, - object? response, - string? id, - bool? willContinue, global::System.Collections.Generic.IList? parts, - global::Google.Gemini.FunctionResponseScheduling? scheduling) + string? id, + global::Google.Gemini.FunctionResponseScheduling? scheduling, + object? response, + bool? willContinue) { this.Name = name; - this.Response = response; - this.Id = id; - this.WillContinue = willContinue; this.Parts = parts; + this.Id = id; this.Scheduling = scheduling; + this.Response = response; + this.WillContinue = willContinue; } /// 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 06edd8cd..c31a051b 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 @@ -9,29 +9,12 @@ namespace Google.Gemini public sealed partial class GenerateContentBatch { /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } - - /// - /// Configures the input to the batch request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputConfig? InputConfig { get; set; } - - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } - - /// - /// Output only. The time at which the batch was created.
+ /// Output only. The state of the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] + public global::Google.Gemini.GenerateContentBatchState? State { get; set; } /// /// Output only. The time at which the batch processing completed.
@@ -40,6 +23,13 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] public string? EndTime { get; set; } + /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Output only. The time at which the batch was last updated.
/// Included only in responses @@ -48,12 +38,10 @@ public sealed partial class GenerateContentBatch public string? UpdateTime { get; set; } /// - /// Output only. The state of the batch.
- /// Included only in responses + /// Required. The user-defined name of this batch. /// - [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("displayName")] + public string? DisplayName { get; set; } /// /// Stats about the batch. @@ -62,11 +50,16 @@ public sealed partial class GenerateContentBatch public global::Google.Gemini.BatchStats? BatchStats { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } + + /// + /// Configures the input to the batch request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputConfig? InputConfig { get; set; } /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. @@ -75,10 +68,17 @@ public sealed partial class GenerateContentBatch public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } + + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,71 +89,71 @@ public sealed partial class GenerateContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Configures the input to the batch request. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - /// - /// Output only. The time at which the batch was created.
+ /// + /// 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 /// + /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses + /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - /// - /// Output only. The state of the batch.
- /// Included only in responses + /// + /// Required. The user-defined name of this batch. /// /// /// Stats about the batch. /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Configures the input to the batch request. /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - /// - /// Required. The user-defined name of this batch. + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( - string? model, - global::Google.Gemini.InputConfig? inputConfig, - string? priority, - string? createTime, + global::Google.Gemini.GenerateContentBatchState? state, string? endTime, + string? name, string? updateTime, - global::Google.Gemini.GenerateContentBatchState? state, + string? displayName, global::Google.Gemini.BatchStats? batchStats, - string? name, + string? model, + global::Google.Gemini.InputConfig? inputConfig, global::Google.Gemini.GenerateContentBatchOutput? output, - string? displayName) + string? priority, + string? createTime) { - this.Model = model; - this.InputConfig = inputConfig; - this.Priority = priority; - this.CreateTime = createTime; + this.State = state; this.EndTime = endTime; + this.Name = name; this.UpdateTime = updateTime; - this.State = state; + this.DisplayName = displayName; this.BatchStats = batchStats; - this.Name = name; + this.Model = model; + this.InputConfig = inputConfig; this.Output = output; - this.DisplayName = displayName; + this.Priority = priority; + this.CreateTime = createTime; } /// 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 a02e8dfb..1ee69aa4 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 @@ -9,16 +9,22 @@ namespace Google.Gemini public sealed partial class GenerateContentRequest { /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] - public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] + public global::System.Collections.Generic.IList? SafetySettings { get; set; } /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// Optional. 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("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] + public string? CachedContent { 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; } /// /// Optional. The service tier of the request. @@ -27,24 +33,12 @@ public sealed partial class GenerateContentRequest [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } - /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } - /// - /// Optional. The 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -52,10 +46,10 @@ public sealed partial class GenerateContentRequest public bool? Store { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// /// 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. @@ -64,10 +58,16 @@ public sealed partial class GenerateContentRequest public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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("safetySettings")] - public global::System.Collections.Generic.IList? SafetySettings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } + + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] + public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Optional. The service tier of the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// 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. /// /// /// 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 unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( - global::Google.Gemini.GenerationConfig? generationConfig, - global::System.Collections.Generic.IList? tools, + global::System.Collections.Generic.IList? safetySettings, + string? cachedContent, + string? model, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, - global::Google.Gemini.Content? systemInstruction, global::Google.Gemini.ToolConfig? toolConfig, - string? cachedContent, bool? store, - string? model, + global::System.Collections.Generic.IList? tools, global::System.Collections.Generic.IList? contents, - global::System.Collections.Generic.IList? safetySettings) + global::Google.Gemini.Content? systemInstruction, + global::Google.Gemini.GenerationConfig? generationConfig) { - this.GenerationConfig = generationConfig; - this.Tools = tools; + this.SafetySettings = safetySettings; + this.CachedContent = cachedContent; + this.Model = model; this.ServiceTier = serviceTier; - this.SystemInstruction = systemInstruction; this.ToolConfig = toolConfig; - this.CachedContent = cachedContent; this.Store = store; - this.Model = model; + this.Tools = tools; this.Contents = contents; - this.SafetySettings = safetySettings; + this.SystemInstruction = systemInstruction; + this.GenerationConfig = generationConfig; } /// 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 c7ff424e..8d2e238e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs @@ -9,11 +9,10 @@ namespace Google.Gemini public sealed partial class GenerateContentResponse { /// - /// Output only. The model version used to generate the response.
- /// Included only in responses + /// Candidate responses from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] - public string? ModelVersion { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] + public global::System.Collections.Generic.IList? Candidates { get; set; } /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. @@ -22,17 +21,11 @@ public sealed partial class GenerateContentResponse public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } /// - /// Output only. response_id is used to identify each response.
+ /// Output only. The model version used to generate the response.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] - public string? ResponseId { get; set; } - - /// - /// Candidate responses from the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] - public global::System.Collections.Generic.IList? Candidates { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] + public string? ModelVersion { get; set; } /// /// Metadata on the generation request's token usage. @@ -40,6 +33,13 @@ public sealed partial class GenerateContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } + /// + /// Output only. response_id is used to identify each response.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] + public string? ResponseId { 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. /// @@ -55,23 +55,23 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// - /// - /// Output only. The model version used to generate the response.
- /// Included only in responses + /// + /// 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.
+ /// + /// Output only. The model version used to generate the response.
/// Included only in responses /// - /// - /// 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 + /// /// /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// @@ -79,18 +79,18 @@ public sealed partial class GenerateContentResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( - string? modelVersion, - global::Google.Gemini.PromptFeedback? promptFeedback, - string? responseId, global::System.Collections.Generic.IList? candidates, + global::Google.Gemini.PromptFeedback? promptFeedback, + string? modelVersion, global::Google.Gemini.UsageMetadata? usageMetadata, + string? responseId, global::Google.Gemini.ModelStatus? modelStatus) { - this.ModelVersion = modelVersion; - this.PromptFeedback = promptFeedback; - this.ResponseId = responseId; this.Candidates = candidates; + this.PromptFeedback = promptFeedback; + this.ModelVersion = modelVersion; this.UsageMetadata = usageMetadata; + this.ResponseId = responseId; 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 785143aa..6ccb535e 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class GeneratedFile { /// - /// MIME type of the generatedFile. + /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Output only. The state of the GeneratedFile.
@@ -29,10 +29,10 @@ public sealed partial class GeneratedFile public global::Google.Gemini.Status? Error { get; set; } /// - /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` + /// MIME type of the generatedFile. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -43,8 +43,8 @@ public sealed partial class GeneratedFile /// /// Initializes a new instance of the class. /// - /// - /// MIME type of the generatedFile. + /// + /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` /// /// /// Output only. The state of the GeneratedFile.
@@ -53,22 +53,22 @@ public sealed partial class GeneratedFile /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - /// - /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` + /// + /// MIME type of the generatedFile. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GeneratedFile( - string? mimeType, + string? name, global::Google.Gemini.GeneratedFileState? state, global::Google.Gemini.Status? error, - string? name) + string? mimeType) { - this.MimeType = mimeType; + this.Name = name; this.State = state; this.Error = error; - 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 b48824e0..ff25d4ad 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 @@ -9,40 +9,35 @@ namespace Google.Gemini public sealed partial class GenerationConfig { /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] - public float? FrequencyPenalty { get; set; } - - /// - /// Optional. 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. 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("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] + public float? PresencePenalty { get; set; } /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] - public bool? EnableEnhancedCivicAnswers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { get; set; } /// - /// Config for image generation features. + /// Config for speech generation and transcription. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. /// - [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] - public float? PresencePenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] + public float? FrequencyPenalty { get; set; } /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// Optional. If specified, the media resolution specified will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] - public int? MaxOutputTokens { 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. 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. @@ -51,10 +46,28 @@ public sealed partial class GenerationConfig public string? ResponseMimeType { get; set; } /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// - [global::System.Text.Json.Serialization.JsonPropertyName("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } + + /// + /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] + public bool? EnableEnhancedCivicAnswers { 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) + /// + [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] + public int? CandidateCount { get; set; } + + /// + /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { 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). @@ -63,28 +76,28 @@ public sealed partial class GenerationConfig public global::Google.Gemini.Schema? ResponseSchema { get; set; } /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// Optional. 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("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { get; set; } /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// 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("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] + public int? MaxOutputTokens { 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) + /// Config for image generation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] - public int? CandidateCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { 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 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("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. @@ -93,16 +106,16 @@ public sealed partial class GenerationConfig public global::System.Collections.Generic.IList? StopSequences { get; set; } /// - /// Optional. If true, export the logprobs results in response. + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] - public bool? ResponseLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// /// Config for thinking features. @@ -111,23 +124,10 @@ public sealed partial class GenerationConfig public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } /// - /// Optional. If specified, the media resolution specified will be used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mediaResolution")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] - public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } - - /// - /// Config for speech generation and transcription. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } - - /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// Optional. If true, export the logprobs results in response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] + public bool? ResponseLogprobs { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -138,111 +138,111 @@ public sealed partial class GenerationConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. - /// - /// - /// Optional. 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. 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. Enables enhanced civic answers. It may not be available for all models. + /// + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - /// - /// Config for image generation features. + /// + /// Config for speech generation and transcription. /// - /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// + /// Optional. 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. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// + /// Optional. If specified, the media resolution specified will be used. /// /// /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// - /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. - /// - /// - /// 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. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// - /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// /// /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - /// - /// Optional. The maximum number of tokens to 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. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// + /// + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// + /// + /// Config for image generation features. + /// + /// + /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// /// /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. /// - /// - /// Optional. If true, export the logprobs results in response. + /// + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// /// /// Config for thinking features. /// - /// - /// Optional. If specified, the media resolution specified will be used. - /// - /// - /// Config for speech generation and transcription. - /// - /// - /// 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. If true, export the logprobs results in response. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - float? frequencyPenalty, - float? topP, - bool? enableEnhancedCivicAnswers, - global::Google.Gemini.ImageConfig? imageConfig, float? presencePenalty, - int? maxOutputTokens, - string? responseMimeType, int? seed, - global::Google.Gemini.Schema? responseSchema, + global::Google.Gemini.SpeechConfig? speechConfig, + float? frequencyPenalty, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, + string? responseMimeType, int? logprobs, - object? responseJsonSchema, + bool? enableEnhancedCivicAnswers, int? candidateCount, - int? topK, - global::System.Collections.Generic.IList? stopSequences, - bool? responseLogprobs, + float? temperature, + global::Google.Gemini.Schema? responseSchema, global::System.Collections.Generic.IList? responseModalities, + int? maxOutputTokens, + global::Google.Gemini.ImageConfig? imageConfig, + float? topP, + global::System.Collections.Generic.IList? stopSequences, + int? topK, + object? responseJsonSchema, global::Google.Gemini.ThinkingConfig? thinkingConfig, - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, - global::Google.Gemini.SpeechConfig? speechConfig, - float? temperature) + bool? responseLogprobs) { - this.FrequencyPenalty = frequencyPenalty; - this.TopP = topP; - this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; - this.ImageConfig = imageConfig; this.PresencePenalty = presencePenalty; - this.MaxOutputTokens = maxOutputTokens; - this.ResponseMimeType = responseMimeType; this.Seed = seed; - this.ResponseSchema = responseSchema; + this.SpeechConfig = speechConfig; + this.FrequencyPenalty = frequencyPenalty; + this.MediaResolution = mediaResolution; + this.ResponseMimeType = responseMimeType; this.Logprobs = logprobs; - this.ResponseJsonSchema = responseJsonSchema; + this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; this.CandidateCount = candidateCount; - this.TopK = topK; - this.StopSequences = stopSequences; - this.ResponseLogprobs = responseLogprobs; + this.Temperature = temperature; + this.ResponseSchema = responseSchema; this.ResponseModalities = responseModalities; + this.MaxOutputTokens = maxOutputTokens; + this.ImageConfig = imageConfig; + this.TopP = topP; + this.StopSequences = stopSequences; + this.TopK = topK; + this.ResponseJsonSchema = responseJsonSchema; this.ThinkingConfig = thinkingConfig; - this.MediaResolution = mediaResolution; - this.SpeechConfig = speechConfig; - this.Temperature = temperature; + this.ResponseLogprobs = responseLogprobs; } /// 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 221642aa..b247212b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport { + /// + /// 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. /// @@ -20,12 +26,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } - /// - /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] - public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } - /// /// 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 @@ -42,15 +42,15 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Initializes a new instance of the class. /// + /// + /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. + /// /// /// Segment of the content. /// /// /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). /// - /// - /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. - /// /// /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
/// Included only in responses @@ -59,14 +59,14 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( + global::System.Collections.Generic.IList? confidenceScores, global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, global::System.Collections.Generic.IList? groundingChunkIndices, - global::System.Collections.Generic.IList? confidenceScores, global::System.Collections.Generic.IList? renderedParts) { + this.ConfidenceScores = confidenceScores; this.Segment = segment; this.GroundingChunkIndices = groundingChunkIndices; - this.ConfidenceScores = confidenceScores; this.RenderedParts = renderedParts; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs index afd475c4..1983af1b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs @@ -8,30 +8,30 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaSegment { - /// - /// The text corresponding to the segment from the response. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } - - /// - /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] - public int? EndIndex { get; set; } - /// /// The index of a Part object within its parent Content object. /// [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] public int? PartIndex { get; set; } + /// + /// The text corresponding to the segment from the response. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } + /// /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. /// [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] public int? StartIndex { get; set; } + /// + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// Initializes a new instance of the class. /// - /// - /// The text corresponding to the segment from the response. - /// - /// - /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. - /// /// /// The index of a Part object within its parent Content object. /// + /// + /// The text corresponding to the segment from the response. + /// /// /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. /// + /// + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( - string? text, - int? endIndex, int? partIndex, - int? startIndex) + string? text, + int? startIndex, + int? endIndex) { - this.Text = text; - this.EndIndex = endIndex; this.PartIndex = partIndex; + this.Text = text; this.StartIndex = startIndex; + this.EndIndex = endIndex; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs index 26223c8f..fadfe83a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GroundingAttribution { - /// - /// Identifier for the source contributing to this attribution. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sourceId")] - public global::Google.Gemini.AttributionSourceId? SourceId { get; set; } - /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// [global::System.Text.Json.Serialization.JsonPropertyName("content")] public global::Google.Gemini.Content? Content { get; set; } + /// + /// Identifier for the source contributing to this attribution. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sourceId")] + public global::Google.Gemini.AttributionSourceId? SourceId { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class GroundingAttribution /// /// Initializes a new instance of the class. /// - /// - /// Identifier for the source contributing to this attribution. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Identifier for the source contributing to this attribution. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingAttribution( - global::Google.Gemini.AttributionSourceId? sourceId, - global::Google.Gemini.Content? content) + global::Google.Gemini.Content? content, + global::Google.Gemini.AttributionSourceId? sourceId) { - this.SourceId = sourceId; this.Content = content; + this.SourceId = sourceId; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs index 3ee594d4..a55d31af 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 @@ -8,30 +8,30 @@ namespace Google.Gemini /// public sealed partial class GroundingChunk { - /// - /// Chunk from the web. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("web")] - public global::Google.Gemini.Web? Web { get; set; } - - /// - /// Chunk from image search. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("image")] - public global::Google.Gemini.Image? Image { get; set; } - /// /// Chunk from context retrieved by the file search tool. /// [global::System.Text.Json.Serialization.JsonPropertyName("retrievedContext")] public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } + /// + /// Chunk from the web. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("web")] + public global::Google.Gemini.Web? Web { get; set; } + /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// [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 /// @@ -41,31 +41,31 @@ public sealed partial class GroundingChunk /// /// Initializes a new instance of the class. /// - /// - /// Chunk from the web. - /// - /// - /// Chunk from image search. - /// /// /// Chunk from context retrieved by the file search tool. /// + /// + /// Chunk from the web. + /// /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// + /// + /// Chunk from image search. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( - global::Google.Gemini.Web? web, - global::Google.Gemini.Image? image, global::Google.Gemini.RetrievedContext? retrievedContext, - global::Google.Gemini.Maps? maps) + global::Google.Gemini.Web? web, + global::Google.Gemini.Maps? maps, + global::Google.Gemini.Image? image) { - this.Web = web; - this.Image = image; this.RetrievedContext = retrievedContext; + this.Web = web; this.Maps = maps; + this.Image = image; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs index 0e070548..8ad989c9 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 @@ -20,18 +20,18 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] public string? StringValue { get; set; } - /// - /// A list of string values. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.GroundingChunkStringList? StringListValue { get; set; } - /// /// The key of the metadata. /// [global::System.Text.Json.Serialization.JsonPropertyName("key")] public string? Key { 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 /// @@ -47,25 +47,25 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Optional. The string value of the metadata. /// - /// - /// A list of string values. - /// /// /// The key of the metadata. /// + /// + /// A list of string values. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( float? numericValue, string? stringValue, - global::Google.Gemini.GroundingChunkStringList? stringListValue, - string? key) + string? key, + global::Google.Gemini.GroundingChunkStringList? stringListValue) { this.NumericValue = numericValue; this.StringValue = stringValue; - this.StringListValue = stringListValue; this.Key = key; + 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 3649dce7..01d13b69 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs @@ -8,24 +8,6 @@ namespace Google.Gemini /// public sealed partial class GroundingMetadata { - /// - /// Web search queries for the following-up web search. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] - public global::System.Collections.Generic.IList? WebSearchQueries { 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; } - - /// - /// List of grounding support. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] - public global::System.Collections.Generic.IList? GroundingSupports { get; set; } - /// /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. /// @@ -38,6 +20,12 @@ public sealed partial class GroundingMetadata [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } + /// + /// List of grounding support. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] + public global::System.Collections.Generic.IList? GroundingSupports { get; set; } + /// /// Image search queries used for grounding. /// @@ -50,6 +38,18 @@ public sealed partial class GroundingMetadata [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } + /// + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] + public global::System.Collections.Generic.IList? GroundingChunks { get; set; } + + /// + /// Web search queries for the following-up web search. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] + public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -59,46 +59,46 @@ public sealed partial class GroundingMetadata /// /// Initializes a new instance of the class. /// - /// - /// Web search queries for the following-up web search. - /// - /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. - /// - /// - /// List of grounding support. - /// /// /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. /// /// /// Google search entry point. /// + /// + /// List of grounding support. + /// /// /// Image search queries used for grounding. /// /// /// Metadata related to retrieval in the grounding flow. /// + /// + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// + /// + /// Web search queries for the following-up web search. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::System.Collections.Generic.IList? webSearchQueries, - global::System.Collections.Generic.IList? groundingChunks, - global::System.Collections.Generic.IList? groundingSupports, string? googleMapsWidgetContextToken, global::Google.Gemini.SearchEntryPoint? searchEntryPoint, + global::System.Collections.Generic.IList? groundingSupports, global::System.Collections.Generic.IList? imageSearchQueries, - global::Google.Gemini.RetrievalMetadata? retrievalMetadata) + global::Google.Gemini.RetrievalMetadata? retrievalMetadata, + global::System.Collections.Generic.IList? groundingChunks, + global::System.Collections.Generic.IList? webSearchQueries) { - this.WebSearchQueries = webSearchQueries; - this.GroundingChunks = groundingChunks; - this.GroundingSupports = groundingSupports; this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; this.SearchEntryPoint = searchEntryPoint; + this.GroundingSupports = groundingSupports; this.ImageSearchQueries = imageSearchQueries; this.RetrievalMetadata = retrievalMetadata; + this.GroundingChunks = groundingChunks; + this.WebSearchQueries = webSearchQueries; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs index 9bc3820b..878c48b7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Hyperparameters { - /// - /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] - public float? LearningRate { get; set; } - /// /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// @@ -21,10 +15,10 @@ public sealed partial class Hyperparameters 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. + /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// - [global::System.Text.Json.Serialization.JsonPropertyName("epochCount")] - public int? EpochCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] + public float? LearningRate { get; set; } /// /// 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. @@ -32,6 +26,12 @@ public sealed partial class Hyperparameters [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] public int? BatchSize { get; set; } + /// + /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("epochCount")] + public int? EpochCount { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class Hyperparameters /// /// Initializes a new instance of the class. /// - /// - /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. - /// /// /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// - /// - /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. + /// + /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// /// /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( - float? learningRate, float? learningRateMultiplier, - int? epochCount, - int? batchSize) + float? learningRate, + int? batchSize, + int? epochCount) { - this.LearningRate = learningRate; this.LearningRateMultiplier = learningRateMultiplier; - this.EpochCount = epochCount; + this.LearningRate = learningRate; this.BatchSize = batchSize; + this.EpochCount = epochCount; } /// 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 36f43bee..d4d85b78 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Image { - /// - /// The title of the web page that the image is from. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - /// /// The web page URI for attribution. /// @@ -26,6 +20,12 @@ public sealed partial class Image [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] public string? ImageUri { get; set; } + /// + /// The title of the web page that the image is from. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + /// /// The root domain of the web page that the image is from, e.g. "example.com". /// @@ -41,15 +41,15 @@ public sealed partial class Image /// /// Initializes a new instance of the class. /// - /// - /// The title of the web page that the image is from. - /// /// /// The web page URI for attribution. /// /// /// The image asset URL. /// + /// + /// The title of the web page that the image is from. + /// /// /// The root domain of the web page that the image is from, e.g. "example.com". /// @@ -57,14 +57,14 @@ public sealed partial class Image [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( - string? title, string? sourceUri, string? imageUri, + string? title, string? domain) { - this.Title = title; this.SourceUri = sourceUri; this.ImageUri = imageUri; + this.Title = title; this.Domain = domain; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs index d42bb534..2f4a44ca 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ImportFileRequest { - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] - public string? FileName { get; set; } - /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { get; set; } + /// /// Custom metadata to be associated with the file. /// @@ -35,12 +35,12 @@ public sealed partial class ImportFileRequest /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` - /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` + /// /// /// Custom metadata to be associated with the file. /// @@ -48,12 +48,12 @@ public sealed partial class ImportFileRequest [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImportFileRequest( - string? fileName, global::Google.Gemini.ChunkingConfig? chunkingConfig, + string? fileName, global::System.Collections.Generic.IList? customMetadata) { - this.FileName = fileName; this.ChunkingConfig = chunkingConfig; + this.FileName = fileName; this.CustomMetadata = customMetadata; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs index c70f6aa2..a3b4bba3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentRequest { - /// - /// Request containing the `Content` for the model to embed. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("request")] - public global::Google.Gemini.EmbedContentRequest? Request { get; set; } - /// /// Optional. The metadata to be associated with the request. /// [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// Request containing the `Content` for the model to embed. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("request")] + public global::Google.Gemini.EmbedContentRequest? Request { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedEmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Request containing the `Content` for the model to embed. - /// /// /// Optional. The metadata to be associated with the request. /// + /// + /// Request containing the `Content` for the model to embed. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentRequest( - global::Google.Gemini.EmbedContentRequest? request, - object? metadata) + object? metadata, + global::Google.Gemini.EmbedContentRequest? request) { - this.Request = request; this.Metadata = metadata; + this.Request = request; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs index d705a978..67da504c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentResponse { - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } - /// /// The response to an `EmbedContentRequest`. /// @@ -27,6 +21,12 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,9 +36,6 @@ public sealed partial class InlinedEmbedContentResponse /// /// Initializes a new instance of the class. /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// /// /// The response to an `EmbedContentRequest`. /// @@ -46,17 +43,20 @@ public sealed partial class InlinedEmbedContentResponse /// Output only. The metadata associated with the request.
/// Included only in responses /// + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentResponse( - global::Google.Gemini.Status? error, global::Google.Gemini.EmbedContentResponse? response, - object? metadata) + object? metadata, + global::Google.Gemini.Status? error) { - this.Error = error; this.Response = response; this.Metadata = metadata; + this.Error = error; } /// 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 9a6afbda..3815f3fd 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 { - /// - /// 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; } + /// + /// Optional. The metadata to be associated with the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { 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. /// - /// - /// Optional. The metadata to be associated with the request. - /// /// /// Request to generate a completion from the model. /// + /// + /// Optional. The metadata to be associated with the request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedRequest( - object? metadata, - global::Google.Gemini.GenerateContentRequest? request) + global::Google.Gemini.GenerateContentRequest? request, + object? metadata) { - this.Metadata = metadata; this.Request = request; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs index d67554e5..9548e6f4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class InlinedResponse { + /// + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.GenerateContentResponse? Response { get; set; } + /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -21,12 +27,6 @@ public sealed partial class InlinedResponse [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } - /// - /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.GenerateContentResponse? Response { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,6 +36,9 @@ public sealed partial class InlinedResponse /// /// Initializes a new instance of the class. /// + /// + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -43,20 +46,17 @@ public sealed partial class InlinedResponse /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - /// - /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedResponse( + global::Google.Gemini.GenerateContentResponse? response, object? metadata, - global::Google.Gemini.Status? error, - global::Google.Gemini.GenerateContentResponse? response) + global::Google.Gemini.Status? error) { + this.Response = response; this.Metadata = metadata; this.Error = error; - this.Response = response; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs index d5800e1d..0ba65b3e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Interval { - /// - /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] - public string? StartTime { get; set; } - /// /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. /// [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] public string? EndTime { get; set; } + /// + /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] + public string? StartTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Interval /// /// Initializes a new instance of the class. /// - /// - /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. - /// /// /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. /// + /// + /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Interval( - string? startTime, - string? endTime) + string? endTime, + string? startTime) { - this.StartTime = startTime; this.EndTime = endTime; + this.StartTime = startTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs index 8f9cc3b2..d5408471 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class LatLng { - /// - /// The longitude in degrees. It must be in the range [-180.0, +180.0]. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("longitude")] - public double? Longitude { get; set; } - /// /// The latitude in degrees. It must be in the range [-90.0, +90.0]. /// [global::System.Text.Json.Serialization.JsonPropertyName("latitude")] public double? Latitude { get; set; } + /// + /// The longitude in degrees. It must be in the range [-180.0, +180.0]. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("longitude")] + public double? Longitude { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class LatLng /// /// Initializes a new instance of the class. /// - /// - /// The longitude in degrees. It must be in the range [-180.0, +180.0]. - /// /// /// The latitude in degrees. It must be in the range [-90.0, +90.0]. /// + /// + /// The longitude in degrees. It must be in the range [-180.0, +180.0]. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LatLng( - double? longitude, - double? latitude) + double? latitude, + double? longitude) { - this.Longitude = longitude; this.Latitude = latitude; + this.Longitude = longitude; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs index 6b112b84..d8960e0a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListCachedContentsResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// List of cached contents. /// [global::System.Text.Json.Serialization.JsonPropertyName("cachedContents")] public global::System.Collections.Generic.IList? CachedContents { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListCachedContentsResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. - /// /// /// List of cached contents. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListCachedContentsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? cachedContents) + global::System.Collections.Generic.IList? cachedContents, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.CachedContents = cachedContents; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs index 9e87f2f8..a3b1d855 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListDocumentsResponse { - /// - /// The returned `Document`s. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("documents")] - public global::System.Collections.Generic.IList? Documents { get; set; } - /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// The returned `Document`s. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("documents")] + public global::System.Collections.Generic.IList? Documents { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListDocumentsResponse /// /// Initializes a new instance of the class. /// - /// - /// The returned `Document`s. - /// /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// + /// + /// The returned `Document`s. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListDocumentsResponse( - global::System.Collections.Generic.IList? documents, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? documents) { - this.Documents = documents; this.NextPageToken = nextPageToken; + this.Documents = documents; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs index 841ed885..b64b02eb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFileSearchStoresResponse { - /// - /// The returned rag_stores. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStores")] - public global::System.Collections.Generic.IList? FileSearchStores { get; set; } - /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// The returned rag_stores. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStores")] + public global::System.Collections.Generic.IList? FileSearchStores { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListFileSearchStoresResponse /// /// Initializes a new instance of the class. /// - /// - /// The returned rag_stores. - /// /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// + /// + /// The returned rag_stores. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFileSearchStoresResponse( - global::System.Collections.Generic.IList? fileSearchStores, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? fileSearchStores) { - this.FileSearchStores = fileSearchStores; this.NextPageToken = nextPageToken; + this.FileSearchStores = fileSearchStores; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs index 7b51e54b..00f5c2a1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFilesResponse { - /// - /// The list of `File`s. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("files")] - public global::System.Collections.Generic.IList? Files { get; set; } - /// /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// The list of `File`s. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("files")] + public global::System.Collections.Generic.IList? Files { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListFilesResponse /// /// Initializes a new instance of the class. /// - /// - /// The list of `File`s. - /// /// /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. /// + /// + /// The list of `File`s. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFilesResponse( - global::System.Collections.Generic.IList? files, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? files) { - this.Files = files; this.NextPageToken = nextPageToken; + this.Files = files; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index 0d7b8952..f1918eaa 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class LogprobsResultCandidate { /// - /// The candidate's log probability. + /// The candidate’s token id value. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] - public float? LogProbability { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] + public int? TokenId { get; set; } /// /// The candidate’s token string value. @@ -21,10 +21,10 @@ public sealed partial class LogprobsResultCandidate public string? Token { get; set; } /// - /// The candidate’s token id value. + /// The candidate's log probability. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] - public int? TokenId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] + public float? LogProbability { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class LogprobsResultCandidate /// /// Initializes a new instance of the class. /// - /// - /// The candidate's log probability. + /// + /// The candidate’s token id value. /// /// /// The candidate’s token string value. /// - /// - /// The candidate’s token id value. + /// + /// The candidate's log probability. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( - float? logProbability, + int? tokenId, string? token, - int? tokenId) + float? logProbability) { - this.LogProbability = logProbability; - this.Token = token; this.TokenId = tokenId; + this.Token = token; + this.LogProbability = logProbability; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs index ed79fb18..df3a8052 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 { /// - /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. + /// Text description of the place answer. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] - public string? PlaceId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] - public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] + public string? PlaceId { get; set; } /// /// URI reference of the place. @@ -26,18 +26,18 @@ public sealed partial class Maps [global::System.Text.Json.Serialization.JsonPropertyName("uri")] public string? Uri { get; set; } - /// - /// Text description of the place answer. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } - /// /// Title of the place. /// [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] + public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class Maps /// /// Initializes a new instance of the class. /// + /// + /// Text description of the place answer. + /// /// /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. - /// /// /// URI reference of the place. /// - /// - /// Text description of the place answer. - /// /// /// 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( + string? text, string? placeId, - global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, string? uri, - string? text, - string? title) + string? title, + global::Google.Gemini.PlaceAnswerSources? placeAnswerSources) { + this.Text = text; this.PlaceId = placeId; - this.PlaceAnswerSources = placeAnswerSources; this.Uri = uri; - this.Text = text; this.Title = title; + this.PlaceAnswerSources = placeAnswerSources; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs index d1c47b48..ab8cc328 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class McpServer { - /// - /// A transport that can stream HTTP requests and responses. Next ID: 6 - /// - [global::System.Text.Json.Serialization.JsonPropertyName("streamableHttpTransport")] - public global::Google.Gemini.StreamableHttpTransport? StreamableHttpTransport { get; set; } - /// /// The name of the MCPServer. /// [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// A transport that can stream HTTP requests and responses. Next ID: 6 + /// + [global::System.Text.Json.Serialization.JsonPropertyName("streamableHttpTransport")] + public global::Google.Gemini.StreamableHttpTransport? StreamableHttpTransport { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class McpServer /// /// Initializes a new instance of the class. /// - /// - /// A transport that can stream HTTP requests and responses. Next ID: 6 - /// /// /// The name of the MCPServer. /// + /// + /// A transport that can stream HTTP requests and responses. Next ID: 6 + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public McpServer( - global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport, - string? name) + string? name, + global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport) { - this.StreamableHttpTransport = streamableHttpTransport; this.Name = name; + this.StreamableHttpTransport = streamableHttpTransport; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs index f9e614fa..b9c043c1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ModalityTokenCount { - /// - /// Number of tokens. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] - public int? TokenCount { get; set; } - /// /// The modality associated with this token count. /// @@ -21,6 +15,12 @@ public sealed partial class ModalityTokenCount [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter))] public global::Google.Gemini.ModalityTokenCountModality? Modality { get; set; } + /// + /// Number of tokens. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] + public int? TokenCount { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class ModalityTokenCount /// /// Initializes a new instance of the class. /// - /// - /// Number of tokens. - /// /// /// The modality associated with this token count. /// + /// + /// Number of tokens. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModalityTokenCount( - int? tokenCount, - global::Google.Gemini.ModalityTokenCountModality? modality) + global::Google.Gemini.ModalityTokenCountModality? modality, + int? tokenCount) { - this.TokenCount = tokenCount; this.Modality = modality; + this.TokenCount = tokenCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs index e4a2fc02..095b2dfe 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 @@ -9,10 +9,16 @@ namespace Google.Gemini public sealed partial class Model { /// - /// The maximum temperature this model can use. + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] - public float? MaxTemperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { get; set; } + + /// + /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. @@ -21,34 +27,34 @@ public sealed partial class Model public int? TopK { get; set; } /// - /// Maximum number of input tokens allowed for this model. + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] + public string? BaseModelId { get; set; } /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// 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("version")] - public string? Version { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Whether the model supports thinking. + /// The maximum temperature this model can use. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] - public bool? Thinking { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { get; set; } /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// Whether the model supports thinking. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] - public string? BaseModelId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] + public bool? Thinking { get; set; } /// - /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } /// /// Maximum number of output tokens available for this model. @@ -57,16 +63,16 @@ public sealed partial class Model public int? OutputTokenLimit { 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 [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; } /// /// A short description of the model. @@ -74,12 +80,6 @@ public sealed partial class Model [global::System.Text.Json.Serialization.JsonPropertyName("description")] public string? Description { get; set; } - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } - /// /// 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` /// @@ -95,42 +95,42 @@ public sealed partial class Model /// /// Initializes a new instance of the class. /// - /// - /// The maximum temperature this model can use. + /// + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// + /// + /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. /// /// /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - /// - /// Maximum number of input tokens allowed for this model. + /// + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// + /// 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 maximum temperature this model can use. /// /// /// Whether the model supports thinking. /// - /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` - /// - /// - /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. + /// + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// /// /// Maximum number of output tokens available for this model. /// - /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// + /// 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 [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. /// /// /// A short description of the model. /// - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. - /// /// /// Required. The 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` /// @@ -138,32 +138,32 @@ public sealed partial class Model [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - float? maxTemperature, - int? topK, - int? inputTokenLimit, string? version, - bool? thinking, + float? topP, + int? topK, string? baseModelId, - string? displayName, - int? outputTokenLimit, float? temperature, - float? topP, - string? description, + float? maxTemperature, + bool? thinking, global::System.Collections.Generic.IList? supportedGenerationMethods, + int? outputTokenLimit, + string? displayName, + int? inputTokenLimit, + string? description, string? name) { - this.MaxTemperature = maxTemperature; - this.TopK = topK; - this.InputTokenLimit = inputTokenLimit; this.Version = version; - this.Thinking = thinking; + this.TopP = topP; + this.TopK = topK; this.BaseModelId = baseModelId; - this.DisplayName = displayName; - this.OutputTokenLimit = outputTokenLimit; this.Temperature = temperature; - this.TopP = topP; - this.Description = description; + this.MaxTemperature = maxTemperature; + this.Thinking = thinking; this.SupportedGenerationMethods = supportedGenerationMethods; + this.OutputTokenLimit = outputTokenLimit; + this.DisplayName = displayName; + this.InputTokenLimit = inputTokenLimit; + this.Description = description; this.Name = name; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs index 0da3ec08..ad41b18b 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. /// @@ -27,6 +21,12 @@ public sealed partial class ModelStatus [global::System.Text.Json.Serialization.JsonPropertyName("message")] public string? Message { get; set; } + /// + /// The time at which the model will be retired. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retirementTime")] + public string? RetirementTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ModelStatus /// /// Initializes a new instance of the class. /// - /// - /// The time at which the model will be retired. - /// /// /// The stage of the underlying model. /// /// /// A message explaining the model status. /// + /// + /// The time at which the model will be retired. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( - string? retirementTime, global::Google.Gemini.ModelStatusModelStage? modelStage, - string? message) + string? message, + string? retirementTime) { - this.RetirementTime = retirementTime; this.ModelStage = modelStage; this.Message = message; + this.RetirementTime = retirementTime; } /// 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 273e4704..54e996fa 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 @@ -20,6 +20,12 @@ public sealed partial class Operation [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } + /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// @@ -32,12 +38,6 @@ public sealed partial class Operation [global::System.Text.Json.Serialization.JsonPropertyName("done")] public bool? Done { get; set; } - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -53,30 +53,30 @@ public sealed partial class Operation /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// /// /// 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. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Operation( string? name, global::Google.Gemini.Status? error, + object? metadata, object? response, - bool? done, - object? metadata) + bool? done) { this.Name = name; this.Error = error; + this.Metadata = metadata; this.Response = response; this.Done = done; - this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs index 4fc18988..a213143a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs @@ -11,22 +11,10 @@ namespace Google.Gemini 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`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] - public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } - - /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] - public byte[]? ThoughtSignature { get; set; } - - /// - /// Inline text. + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] + public global::Google.Gemini.Blob? InlineData { get; set; } /// /// Optional. Indicates if the part is thought from the model. @@ -35,16 +23,16 @@ public sealed partial class Part public bool? Thought { get; set; } /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] + public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } /// - /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// - [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] - public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] + public object? PartMetadata { get; set; } /// /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. @@ -54,16 +42,28 @@ public sealed partial class Part public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// URI based data. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] - public global::Google.Gemini.Blob? InlineData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] + public global::Google.Gemini.FileData? FileData { get; set; } /// - /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. + /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] - public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] + public global::Google.Gemini.ToolCall? ToolCall { get; set; } + + /// + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] + public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } + + /// + /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] + public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } /// /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. @@ -72,22 +72,22 @@ public sealed partial class Part public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } /// - /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// 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("toolCall")] - public global::Google.Gemini.ToolCall? ToolCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] - public object? PartMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] + public byte[]? ThoughtSignature { get; set; } /// - /// URI based data. + /// Inline text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] - public global::Google.Gemini.FileData? FileData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -98,71 +98,71 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// - /// - /// The 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`. - /// - /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. - /// - /// - /// Inline text. + /// + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// /// /// Optional. Indicates if the part is thought from the model. /// - /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// + /// 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. + /// + /// + /// 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 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`. /// /// /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// - /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. - /// - /// - /// The 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. + /// + /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. /// /// /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - /// - /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - /// - /// 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. + /// + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - /// - /// URI based data. + /// + /// Inline text. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( - global::Google.Gemini.ToolResponse? toolResponse, - byte[]? thoughtSignature, - string? text, - bool? thought, - global::Google.Gemini.FunctionCall? functionCall, - global::Google.Gemini.ExecutableCode? executableCode, global::Google.Gemini.Blob? inlineData, + bool? thought, global::Google.Gemini.FunctionResponse? functionResponse, - global::Google.Gemini.CodeExecutionResult? codeExecutionResult, - global::Google.Gemini.ToolCall? toolCall, object? partMetadata, - global::Google.Gemini.FileData? fileData) + global::Google.Gemini.FileData? fileData, + global::Google.Gemini.ToolCall? toolCall, + global::Google.Gemini.ExecutableCode? executableCode, + global::Google.Gemini.ToolResponse? toolResponse, + global::Google.Gemini.CodeExecutionResult? codeExecutionResult, + global::Google.Gemini.FunctionCall? functionCall, + byte[]? thoughtSignature, + string? text) { - this.ToolResponse = toolResponse; - this.ThoughtSignature = thoughtSignature; - this.Text = text; - this.Thought = thought; - this.FunctionCall = functionCall; - this.ExecutableCode = executableCode; this.InlineData = inlineData; + this.Thought = thought; this.FunctionResponse = functionResponse; - this.CodeExecutionResult = codeExecutionResult; - this.ToolCall = toolCall; this.PartMetadata = partMetadata; this.FileData = fileData; + this.ToolCall = toolCall; + this.ExecutableCode = executableCode; + this.ToolResponse = toolResponse; + this.CodeExecutionResult = codeExecutionResult; + this.FunctionCall = functionCall; + this.ThoughtSignature = thoughtSignature; + 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 9a41c015..26a7d411 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 +9,11 @@ namespace Google.Gemini public sealed partial class Permission { /// - /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
- /// Included only in responses + /// Required. The role granted by this permission. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("role")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter))] + public global::Google.Gemini.PermissionRole? Role { get; set; } /// /// Optional. Immutable. The type of the grantee. @@ -29,11 +29,11 @@ public sealed partial class Permission public string? EmailAddress { get; set; } /// - /// 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 /// - [global::System.Text.Json.Serialization.JsonPropertyName("role")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter))] - public global::Google.Gemini.PermissionRole? Role { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -44,9 +44,8 @@ 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 + /// + /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. @@ -54,22 +53,23 @@ public sealed partial class Permission /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. + /// + /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( - string? name, + global::Google.Gemini.PermissionRole? role, global::Google.Gemini.PermissionGranteeType? granteeType, string? emailAddress, - global::Google.Gemini.PermissionRole? role) + string? name) { - this.Name = name; + this.Role = role; this.GranteeType = granteeType; this.EmailAddress = emailAddress; - this.Role = role; + this.Name = name; } /// 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 3e0bf95e..86868407 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class RetrievedContext { /// - /// Optional. URI reference of the semantic retrieval document. + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] + public string? FileSearchStore { get; set; } /// /// Optional. Text of the chunk. @@ -21,22 +21,22 @@ public sealed partial class RetrievedContext public string? Text { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] - public string? MediaId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// - /// Optional. Title of the document. + /// Optional. URI reference of the semantic retrieval document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Optional. User-provided metadata about the retrieved context. + /// Optional. Title of the document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Optional. Page number of the retrieved context, if applicable. @@ -45,10 +45,10 @@ public sealed partial class RetrievedContext public int? PageNumber { get; set; } /// - /// 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} /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] - public string? FileSearchStore { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] + public string? MediaId { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,46 +59,46 @@ public sealed partial class RetrievedContext /// /// Initializes a new instance of the class. /// - /// - /// Optional. URI reference of the semantic retrieval document. + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// /// /// Optional. Text of the chunk. /// - /// - /// 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. Title of the document. /// - /// - /// Optional. User-provided metadata about the retrieved context. - /// /// /// Optional. Page number of the retrieved context, if applicable. /// - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// + /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( - string? uri, + string? fileSearchStore, string? text, - string? mediaId, - string? title, global::System.Collections.Generic.IList? customMetadata, + string? uri, + string? title, int? pageNumber, - string? fileSearchStore) + string? mediaId) { - this.Uri = uri; + this.FileSearchStore = fileSearchStore; this.Text = text; - this.MediaId = mediaId; - this.Title = title; this.CustomMetadata = customMetadata; + this.Uri = uri; + this.Title = title; this.PageNumber = pageNumber; - this.FileSearchStore = fileSearchStore; + this.MediaId = mediaId; } /// 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 dcbe94b6..550780da 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; } - /// - /// 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; } + /// + /// Title of the review. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ReviewSnippet /// /// The ID of the review snippet. /// - /// - /// Title of the review. - /// /// /// A link that corresponds to the user review on Google Maps. /// + /// + /// Title of the review. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ReviewSnippet( string? reviewId, - string? title, - string? googleMapsUri) + string? googleMapsUri, + string? title) { this.ReviewId = reviewId; - this.Title = title; this.GoogleMapsUri = googleMapsUri; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs index 4d10712f..d173960d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class SafetyRating { + /// + /// Required. The category for this rating. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("category")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter))] + public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } + /// /// Required. The probability of harm for this content. /// @@ -21,13 +28,6 @@ public sealed partial class SafetyRating [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] public bool? Blocked { get; set; } - /// - /// Required. The category for this rating. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("category")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter))] - public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -37,26 +37,26 @@ public sealed partial class SafetyRating /// /// Initializes a new instance of the class. /// + /// + /// Required. The category for this rating. + /// /// /// Required. The probability of harm for this content. /// /// /// Was this content blocked because of this rating? /// - /// - /// Required. The category for this rating. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( + global::Google.Gemini.SafetyRatingCategory? category, global::Google.Gemini.SafetyRatingProbability? probability, - bool? blocked, - global::Google.Gemini.SafetyRatingCategory? category) + bool? blocked) { + this.Category = category; this.Probability = probability; this.Blocked = blocked; - this.Category = category; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs index ba09cc05..77c5a29f 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. The category for this setting. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("category")] - [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. /// @@ -22,6 +15,13 @@ public sealed partial class SafetySetting [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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("category")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter))] + public global::Google.Gemini.SafetySettingCategory? Category { 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. The category for this setting. - /// /// /// Required. Controls the probability threshold at which harm is blocked. /// + /// + /// Required. The category for this setting. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetySetting( - global::Google.Gemini.SafetySettingCategory? category, - global::Google.Gemini.SafetySettingThreshold? threshold) + global::Google.Gemini.SafetySettingThreshold? threshold, + global::Google.Gemini.SafetySettingCategory? category) { - this.Category = category; this.Threshold = threshold; + this.Category = category; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs index bc4b74b9..655f0f9a 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 @@ -15,22 +15,10 @@ public sealed partial class Schema public bool? Nullable { get; set; } /// - /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] - public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } - - /// - /// Optional. Maximum number of the elements for Type.ARRAY. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] - public string? MaxItems { get; set; } - - /// - /// Optional. Required properties of Type.OBJECT. + /// Optional. Minimum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { get; set; } /// /// Optional. Example of the object. Will only populated when the object is the root. @@ -45,28 +33,28 @@ public sealed partial class Schema public object? Default { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. Required properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Optional. 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("items")] - public global::Google.Gemini.Schema? Items { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] + public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] + public global::System.Collections.Generic.IList? AnyOf { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// Optional. Minimum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] - public string? MinLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] + public string? MinItems { get; set; } /// /// Required. Data type. @@ -76,16 +64,34 @@ public sealed partial class Schema public global::Google.Gemini.SchemaType? Type { get; set; } /// - /// Optional. The title of the schema. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("items")] + public global::Google.Gemini.Schema? Items { get; set; } /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// Optional. Maximum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] - public string? MinItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] + public string? MaxLength { get; set; } + + /// + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + /// + [global::System.Text.Json.Serialization.JsonPropertyName("enum")] + public global::System.Collections.Generic.IList? Enum { get; set; } + + /// + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] + public double? Maximum { get; set; } + + /// + /// Optional. Properties of Type.OBJECT. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER @@ -100,34 +106,28 @@ public sealed partial class Schema 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; } - - /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// Optional. Maximum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] - public string? MaxProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + public string? MaxItems { get; set; } /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// Optional. The title of the schema. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] - public double? Maximum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Optional. Maximum length of the Type.STRING + /// Optional. Maximum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] + public string? MaxProperties { get; set; } /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] - public global::System.Collections.Generic.IList? AnyOf { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. @@ -136,10 +136,10 @@ public sealed partial class Schema public string? Pattern { 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. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("enum")] - public global::System.Collections.Generic.IList? Enum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] + public string? MinLength { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -153,14 +153,8 @@ public sealed partial class Schema /// /// Optional. Indicates if the value may be null. /// - /// - /// 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. Maximum number of the elements for Type.ARRAY. - /// - /// - /// Optional. Required properties of Type.OBJECT. + /// + /// Optional. Minimum number of the properties for Type.OBJECT. /// /// /// Optional. Example of the object. Will only populated when the object is the root. @@ -168,26 +162,35 @@ public sealed partial class Schema /// /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - /// - /// Optional. Properties of Type.OBJECT. + /// + /// 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). + /// + /// 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. Minimum number of the properties for Type.OBJECT. + /// + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// + /// Optional. Minimum number of the elements for Type.ARRAY. /// /// /// Required. Data type. /// - /// - /// Optional. The title of the schema. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// + /// Optional. Maximum length of the Type.STRING + /// + /// + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + /// + /// + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// + /// + /// Optional. Properties of Type.OBJECT. /// /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER @@ -195,76 +198,73 @@ public sealed partial class Schema /// /// 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. Maximum number of the elements for Type.ARRAY. + /// + /// + /// Optional. The title of the schema. /// /// /// Optional. Maximum number of the properties for Type.OBJECT. /// - /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER - /// - /// - /// Optional. Maximum length of the Type.STRING - /// - /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// /// /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - /// - /// 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. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( bool? nullable, - global::System.Collections.Generic.IList? propertyOrdering, - string? maxItems, - global::System.Collections.Generic.IList? required, + string? minProperties, object? example, object? @default, - global::System.Collections.Generic.Dictionary? properties, - global::Google.Gemini.Schema? items, - string? minProperties, - string? minLength, - global::Google.Gemini.SchemaType? type, - string? title, + global::System.Collections.Generic.IList? required, + global::System.Collections.Generic.IList? propertyOrdering, + global::System.Collections.Generic.IList? anyOf, string? minItems, + global::Google.Gemini.SchemaType? type, + global::Google.Gemini.Schema? items, + string? maxLength, + global::System.Collections.Generic.IList? @enum, + double? maximum, + global::System.Collections.Generic.Dictionary? properties, double? minimum, string? format, - string? description, + string? maxItems, + string? title, string? maxProperties, - double? maximum, - string? maxLength, - global::System.Collections.Generic.IList? anyOf, + string? description, string? pattern, - global::System.Collections.Generic.IList? @enum) + string? minLength) { this.Nullable = nullable; - this.PropertyOrdering = propertyOrdering; - this.MaxItems = maxItems; - this.Required = required; + this.MinProperties = minProperties; this.Example = example; this.Default = @default; - this.Properties = properties; - this.Items = items; - this.MinProperties = minProperties; - this.MinLength = minLength; - this.Type = type; - this.Title = title; + this.Required = required; + this.PropertyOrdering = propertyOrdering; + this.AnyOf = anyOf; this.MinItems = minItems; + this.Type = type; + this.Items = items; + this.MaxLength = maxLength; + this.Enum = @enum; + this.Maximum = maximum; + this.Properties = properties; this.Minimum = minimum; this.Format = format; - this.Description = description; + this.MaxItems = maxItems; + this.Title = title; this.MaxProperties = maxProperties; - this.Maximum = maximum; - this.MaxLength = maxLength; - this.AnyOf = anyOf; + this.Description = description; this.Pattern = pattern; - this.Enum = @enum; + this.MinLength = minLength; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs index 3d9a8e71..7e6808c3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SearchEntryPoint { - /// - /// Optional. Web content snippet that can be embedded in a web page or an app webview. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("renderedContent")] - public string? RenderedContent { get; set; } - /// /// Optional. Base64 encoded JSON representing array of tuple. /// [global::System.Text.Json.Serialization.JsonPropertyName("sdkBlob")] public byte[]? SdkBlob { get; set; } + /// + /// Optional. Web content snippet that can be embedded in a web page or an app webview. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("renderedContent")] + public string? RenderedContent { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SearchEntryPoint /// /// Initializes a new instance of the class. /// - /// - /// Optional. Web content snippet that can be embedded in a web page or an app webview. - /// /// /// Optional. Base64 encoded JSON representing array of tuple. /// + /// + /// Optional. Web content snippet that can be embedded in a web page or an app webview. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SearchEntryPoint( - string? renderedContent, - byte[]? sdkBlob) + byte[]? sdkBlob, + string? renderedContent) { - this.RenderedContent = renderedContent; this.SdkBlob = sdkBlob; + this.RenderedContent = renderedContent; } /// 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 45f30e57..24d94e40 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class SemanticRetrieverChunk { /// - /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
+ /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] - public string? Chunk { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("source")] + public string? Source { get; set; } /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - public string? Source { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] + public string? Chunk { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class SemanticRetrieverChunk /// /// Initializes a new instance of the class. /// - /// - /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
- /// Included only in responses - /// /// /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
/// Included only in responses /// + /// + /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SemanticRetrieverChunk( - string? chunk, - string? source) + string? source, + string? chunk) { - this.Chunk = chunk; this.Source = source; + this.Chunk = chunk; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs index 370880fa..f1ef065a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SpeakerVoiceConfig { - /// - /// The configuration for the voice to use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] - public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } - /// /// Required. The name of the speaker to use. Should be the same as in the prompt. /// [global::System.Text.Json.Serialization.JsonPropertyName("speaker")] public string? Speaker { get; set; } + /// + /// The configuration for the voice to use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] + public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SpeakerVoiceConfig /// /// Initializes a new instance of the class. /// - /// - /// The configuration for the voice to use. - /// /// /// Required. The name of the speaker to use. Should be the same as in the prompt. /// + /// + /// The configuration for the voice to use. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeakerVoiceConfig( - global::Google.Gemini.VoiceConfig? voiceConfig, - string? speaker) + string? speaker, + global::Google.Gemini.VoiceConfig? voiceConfig) { - this.VoiceConfig = voiceConfig; this.Speaker = speaker; + this.VoiceConfig = voiceConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs index 3c841859..44773a7b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs @@ -14,18 +14,18 @@ public sealed partial class SpeechConfig [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } - /// - /// The configuration for the voice to use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] - public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } - /// /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] public string? LanguageCode { get; set; } + /// + /// The configuration for the voice to use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] + public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class SpeechConfig /// /// The configuration for the multi-speaker setup. /// - /// - /// The configuration for the voice to use. - /// /// /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// + /// + /// The configuration for the voice to use. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, - global::Google.Gemini.VoiceConfig? voiceConfig, - string? languageCode) + string? languageCode, + global::Google.Gemini.VoiceConfig? voiceConfig) { this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; - this.VoiceConfig = voiceConfig; this.LanguageCode = languageCode; + this.VoiceConfig = voiceConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs index 4ae8ae8a..6661a570 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class StreamableHttpTransport { /// - /// HTTP timeout for regular operations. + /// Timeout for SSE read operations. /// - [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] - public string? Timeout { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] + public string? SseReadTimeout { get; set; } /// /// Whether to close the client session when the transport closes. @@ -20,12 +20,6 @@ public sealed partial class StreamableHttpTransport [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] public bool? TerminateOnClose { get; set; } - /// - /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("url")] - public string? Url { get; set; } - /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// @@ -33,10 +27,16 @@ public sealed partial class StreamableHttpTransport public global::System.Collections.Generic.Dictionary? Headers { get; set; } /// - /// Timeout for SSE read operations. + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" /// - [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] - public string? SseReadTimeout { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("url")] + public string? Url { get; set; } + + /// + /// HTTP timeout for regular operations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] + public string? Timeout { 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. /// - /// - /// HTTP timeout for regular operations. + /// + /// Timeout for SSE read operations. /// /// /// 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. /// - /// - /// Timeout for SSE read operations. + /// + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// + /// + /// HTTP timeout for regular operations. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( - string? timeout, + string? sseReadTimeout, bool? terminateOnClose, - string? url, global::System.Collections.Generic.Dictionary? headers, - string? sseReadTimeout) + string? url, + string? timeout) { - this.Timeout = timeout; + this.SseReadTimeout = sseReadTimeout; this.TerminateOnClose = terminateOnClose; - this.Url = url; this.Headers = headers; - this.SseReadTimeout = sseReadTimeout; + this.Url = url; + this.Timeout = timeout; } /// 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 34c513e9..f7a036d5 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 @@ -9,22 +9,22 @@ namespace Google.Gemini public sealed partial class Tool { /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] - public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] + public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } /// - /// Computer Use tool type. + /// Tool to retrieve public web data for grounding, powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] - public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] + public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// 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; } /// /// The GoogleMaps Tool that provides geospatial context for the user's query. @@ -33,34 +33,34 @@ public sealed partial class Tool public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } /// - /// Tool to retrieve public web data for grounding, powered by Google. + /// Computer Use tool type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] - public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { 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. + /// Tool to support URL context retrieval. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] - public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] + public global::Google.Gemini.UrlContext? UrlContext { get; set; } /// - /// Optional. MCP Servers to connect to. + /// 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("mcpServers")] - public global::System.Collections.Generic.IList? McpServers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] + public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } /// - /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. + /// The 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("functionDeclarations")] - public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] + public global::Google.Gemini.FileSearch? FileSearch { get; set; } /// - /// Tool to support URL context retrieval. + /// Optional. MCP Servers to connect to. /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] - public global::Google.Gemini.UrlContext? UrlContext { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] + public global::System.Collections.Generic.IList? McpServers { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,17 +71,8 @@ public sealed partial class Tool /// /// Initializes a new instance of the class. /// - /// - /// Tool 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. - /// - /// - /// 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. /// /// /// Tool to retrieve public web data for grounding, powered by Google. @@ -89,38 +80,47 @@ public sealed partial class Tool /// /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// - /// - /// Optional. MCP Servers to connect to. + /// + /// 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. + /// + /// Computer Use tool type. /// /// /// 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. + /// + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// + /// + /// Optional. MCP Servers to connect to. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( - global::Google.Gemini.CodeExecution? codeExecution, - global::Google.Gemini.ComputerUse? computerUse, - global::Google.Gemini.FileSearch? fileSearch, - global::Google.Gemini.GoogleMaps? googleMaps, + global::System.Collections.Generic.IList? functionDeclarations, global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, global::Google.Gemini.GoogleSearch? googleSearch, - global::System.Collections.Generic.IList? mcpServers, - global::System.Collections.Generic.IList? functionDeclarations, - global::Google.Gemini.UrlContext? urlContext) + global::Google.Gemini.GoogleMaps? googleMaps, + global::Google.Gemini.ComputerUse? computerUse, + global::Google.Gemini.UrlContext? urlContext, + global::Google.Gemini.CodeExecution? codeExecution, + global::Google.Gemini.FileSearch? fileSearch, + global::System.Collections.Generic.IList? mcpServers) { - this.CodeExecution = codeExecution; - this.ComputerUse = computerUse; - this.FileSearch = fileSearch; - this.GoogleMaps = googleMaps; + this.FunctionDeclarations = functionDeclarations; this.GoogleSearchRetrieval = googleSearchRetrieval; this.GoogleSearch = googleSearch; - this.McpServers = mcpServers; - this.FunctionDeclarations = functionDeclarations; + this.GoogleMaps = googleMaps; + this.ComputerUse = computerUse; this.UrlContext = urlContext; + this.CodeExecution = codeExecution; + this.FileSearch = fileSearch; + this.McpServers = mcpServers; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs index 4fcef779..c04b4915 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 +8,13 @@ namespace Google.Gemini /// public sealed partial class ToolCall { + /// + /// Required. The type of tool that was called. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter))] + public global::Google.Gemini.ToolCallToolType? ToolType { get; set; } + /// /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} /// @@ -20,13 +27,6 @@ public sealed partial class ToolCall [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } - /// - /// Required. The type of tool that was called. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter))] - public global::Google.Gemini.ToolCallToolType? ToolType { 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. /// + /// + /// 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`. /// - /// - /// Required. The type of tool that was called. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolCall( + global::Google.Gemini.ToolCallToolType? toolType, object? args, - string? id, - global::Google.Gemini.ToolCallToolType? toolType) + string? id) { + this.ToolType = toolType; this.Args = args; this.Id = id; - this.ToolType = toolType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs index 40f9f938..78771bbc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class ToolConfig { /// - /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. + /// Configuration for specifying function calling behavior. /// - [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] - public bool? IncludeServerSideToolInvocations { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] + public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } /// /// Retrieval config. @@ -21,10 +21,10 @@ public sealed partial class ToolConfig public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } /// - /// Configuration for specifying function calling behavior. + /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] - public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] + public bool? IncludeServerSideToolInvocations { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class ToolConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. + /// + /// Configuration for specifying function calling behavior. /// /// /// Retrieval config. /// - /// - /// Configuration for specifying function calling behavior. + /// + /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( - bool? includeServerSideToolInvocations, + global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, global::Google.Gemini.RetrievalConfig? retrievalConfig, - global::Google.Gemini.FunctionCallingConfig? functionCallingConfig) + bool? includeServerSideToolInvocations) { - this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; - this.RetrievalConfig = retrievalConfig; this.FunctionCallingConfig = functionCallingConfig; + this.RetrievalConfig = retrievalConfig; + this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs index f67a9ee8..7333cb0a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class ToolResponse { + /// + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] + public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } + /// /// Optional. The tool response. /// @@ -20,13 +27,6 @@ public sealed partial class ToolResponse [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } - /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] - public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ToolResponse /// /// Initializes a new instance of the class. /// + /// + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// /// /// Optional. The tool response. /// /// /// Optional. The identifier of the tool call this response is for. /// - /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolResponse( + global::Google.Gemini.ToolResponseToolType? toolType, object? response, - string? id, - global::Google.Gemini.ToolResponseToolType? toolType) + string? id) { + this.ToolType = toolType; this.Response = response; this.Id = id; - this.ToolType = toolType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs index d7d9e74b..29c2801e 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class TunedModel { /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } - - /// - /// Optional. A short description of this model. + /// Optional. 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("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// /// Tuning tasks that create tuned models. @@ -27,11 +21,17 @@ public sealed partial class TunedModel public global::Google.Gemini.TuningTask? TuningTask { get; set; } /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// Output only. The timestamp when this model was updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// /// Tuned model as a source for training a new model. @@ -40,44 +40,37 @@ public sealed partial class TunedModel public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } /// - /// Output only. The state of the tuned model.
- /// 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("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("topK")] + public int? TopK { get; set; } /// - /// Output only. The timestamp when this model was created.
- /// Included only in responses + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] + public string? BaseModel { get; set; } /// - /// Output only. The timestamp when this model was updated.
+ /// Output only. The state of the tuned model.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } - - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] + public global::Google.Gemini.TunedModelState? State { get; set; } /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// Optional. A short description of this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] - public string? BaseModel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { 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. + /// 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("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Optional. List of project numbers that have read access to the tuned model. @@ -91,6 +84,13 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Output only. The timestamp when this model 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 /// @@ -100,42 +100,38 @@ public sealed partial class TunedModel /// /// Initializes a new instance of the class. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. A short description of this model. + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Tuning tasks that create tuned models. /// - /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// + /// Output only. The timestamp when this model was updated.
/// Included only in responses /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// /// Tuned model as a source for training a new model. /// - /// - /// 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 timestamp when this model was updated.
- /// 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. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Output only. The state of the tuned model.
+ /// Included only in responses + /// + /// + /// Optional. A short description of this model. + /// + /// + /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// Included only in responses /// /// /// Optional. List of project numbers that have read access to the tuned model. @@ -143,37 +139,41 @@ public sealed partial class TunedModel /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// + /// + /// Output only. The timestamp when this model was created.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( - float? topP, - string? description, + float? temperature, global::Google.Gemini.TuningTask? tuningTask, - string? name, - global::Google.Gemini.TunedModelSource? tunedModelSource, - global::Google.Gemini.TunedModelState? state, - string? createTime, string? updateTime, + float? topP, + global::Google.Gemini.TunedModelSource? tunedModelSource, int? topK, string? baseModel, - float? temperature, + global::Google.Gemini.TunedModelState? state, + string? description, + string? name, global::System.Collections.Generic.IList? readerProjectNumbers, - string? displayName) + string? displayName, + string? createTime) { - this.TopP = topP; - this.Description = description; + this.Temperature = temperature; this.TuningTask = tuningTask; - this.Name = name; - this.TunedModelSource = tunedModelSource; - this.State = state; - this.CreateTime = createTime; this.UpdateTime = updateTime; + this.TopP = topP; + this.TunedModelSource = tunedModelSource; this.TopK = topK; this.BaseModel = baseModel; - this.Temperature = temperature; + this.State = state; + this.Description = description; + this.Name = name; this.ReaderProjectNumbers = readerProjectNumbers; this.DisplayName = displayName; + this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs index c17a4118..0b711d43 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 @@ -9,32 +9,32 @@ 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.
+ /// Output only. The epoch this step was part of.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] - public float? MeanLoss { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] + public int? Epoch { get; set; } /// - /// Output only. The epoch this step was part of.
+ /// Output only. The tuning step.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] - public int? Epoch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("step")] + public int? Step { get; set; } /// - /// Output only. The timestamp when this metric was computed.
+ /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] - public string? ComputeTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] + public float? MeanLoss { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,35 +45,35 @@ public sealed partial class TuningSnapshot /// /// Initializes a new instance of the class. /// - /// - /// Output only. The tuning step.
- /// Included only in responses - /// - /// - /// Output only. The mean loss of the training examples for this step.
+ /// + /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// /// /// Output only. The epoch this step was part of.
/// Included only in responses /// - /// - /// Output only. The timestamp when this metric was computed.
+ /// + /// Output only. The tuning step.
+ /// Included only in responses + /// + /// + /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( - int? step, - float? meanLoss, + string? computeTime, int? epoch, - string? computeTime) + int? step, + float? meanLoss) { + this.ComputeTime = computeTime; + this.Epoch = epoch; this.Step = step; this.MeanLoss = meanLoss; - this.Epoch = epoch; - this.ComputeTime = computeTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs index 05c63a0c..e4a5600b 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class TuningTask { + /// + /// Dataset for training or validation. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] + public global::Google.Gemini.Dataset? TrainingData { get; set; } + /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses @@ -23,10 +29,10 @@ public sealed partial class TuningTask public global::System.Collections.Generic.IList? Snapshots { get; set; } /// - /// Dataset for training or validation. + /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance /// - [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] - public global::Google.Gemini.Dataset? TrainingData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] + public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } /// /// Output only. The timestamp when tuning this model completed.
@@ -35,12 +41,6 @@ public sealed partial class TuningTask [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] public string? CompleteTime { get; set; } - /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance - /// - [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] - public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -50,6 +50,9 @@ public sealed partial class TuningTask /// /// Initializes a new instance of the class. /// + /// + /// Dataset for training or validation. + /// /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses @@ -58,31 +61,28 @@ public sealed partial class TuningTask /// Output only. Metrics collected during tuning.
/// Included only in responses /// - /// - /// Dataset for training or validation. + /// + /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance /// /// /// Output only. The timestamp when tuning this model completed.
/// Included only in responses /// - /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( + global::Google.Gemini.Dataset? trainingData, string? startTime, global::System.Collections.Generic.IList? snapshots, - global::Google.Gemini.Dataset? trainingData, - string? completeTime, - global::Google.Gemini.Hyperparameters? hyperparameters) + global::Google.Gemini.Hyperparameters? hyperparameters, + string? completeTime) { + this.TrainingData = trainingData; this.StartTime = startTime; this.Snapshots = snapshots; - this.TrainingData = trainingData; - this.CompleteTime = completeTime; this.Hyperparameters = hyperparameters; + 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 fa4c84a7..9e682db6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class UploadToFileSearchStoreRequest { - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] - public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } - - /// - /// Optional. Display name of the created document. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - /// /// Custom metadata to be associated with the data. /// @@ -32,6 +20,18 @@ public sealed partial class UploadToFileSearchStoreRequest [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Optional. Display name of the created document. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] + public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// Initializes a new instance of the class. /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// - /// - /// Optional. Display name of the created document. - /// /// /// 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. + /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UploadToFileSearchStoreRequest( - global::Google.Gemini.ChunkingConfig? chunkingConfig, - string? displayName, global::System.Collections.Generic.IList? customMetadata, - string? mimeType) + string? mimeType, + string? displayName, + global::Google.Gemini.ChunkingConfig? chunkingConfig) { - this.ChunkingConfig = chunkingConfig; - this.DisplayName = displayName; this.CustomMetadata = customMetadata; this.MimeType = mimeType; + this.DisplayName = displayName; + 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 5ffe6a83..5a1ae06d 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 @@ -9,44 +9,25 @@ namespace Google.Gemini public sealed partial class UsageMetadata { /// - /// Number of tokens in the cached part of the prompt (the cached content) - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } - - /// - /// Output only. Number of tokens of thoughts for thinking models.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] - public int? ThoughtsTokenCount { get; set; } - - /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] - public int? PromptTokenCount { get; set; } - - /// - /// 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 /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] + public int? ToolUsePromptTokenCount { get; set; } /// - /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Output only. List of modalities that were processed 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("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] - public int? ToolUsePromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] + public int? ThoughtsTokenCount { get; set; } /// /// Total token count for the generation request (prompt + thoughts + response candidates). @@ -55,11 +36,16 @@ public sealed partial class UsageMetadata public int? TotalTokenCount { get; set; } /// - /// Output only. List of modalities that were processed 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } + + /// + /// Number of tokens in the cached part of the prompt (the cached content) + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// /// Output only. List of modalities that were returned in the response.
@@ -74,6 +60,20 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] public int? CandidatesTokenCount { get; set; } + /// + /// Output only. List of modalities of the cached content in the request input.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + + /// + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] + public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } + /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
/// Included only in responses @@ -97,34 +97,26 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Number of tokens in the cached part of the prompt (the cached content) - /// - /// - /// Output only. Number of tokens of thoughts for thinking models.
- /// Included only in responses - /// - /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. - /// - /// - /// Output only. List of modalities 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. List of modalities that were processed for tool-use request inputs.
+ /// + /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - /// - /// Output only. Number of tokens present in tool-use prompt(s).
+ /// + /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// /// /// Total token count for the generation request (prompt + thoughts + response candidates). /// - /// - /// Output only. List of modalities that were processed 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. + /// + /// + /// Number of tokens in the cached part of the prompt (the cached content) /// /// /// Output only. List of modalities that were returned in the response.
@@ -133,6 +125,14 @@ public sealed partial class UsageMetadata /// /// Total number of tokens across all the generated response candidates. /// + /// + /// Output only. List of modalities of the cached content in the request input.
+ /// Included only in responses + /// + /// + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses + /// /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
/// Included only in responses @@ -145,29 +145,29 @@ public sealed partial class UsageMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UsageMetadata( - int? cachedContentTokenCount, - int? thoughtsTokenCount, - int? promptTokenCount, - global::System.Collections.Generic.IList? cacheTokensDetails, - global::System.Collections.Generic.IList? toolUsePromptTokensDetails, int? toolUsePromptTokenCount, - int? totalTokenCount, global::System.Collections.Generic.IList? promptTokensDetails, + int? thoughtsTokenCount, + int? totalTokenCount, + int? promptTokenCount, + int? cachedContentTokenCount, global::System.Collections.Generic.IList? candidatesTokensDetails, int? candidatesTokenCount, + global::System.Collections.Generic.IList? cacheTokensDetails, + global::System.Collections.Generic.IList? toolUsePromptTokensDetails, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { - this.CachedContentTokenCount = cachedContentTokenCount; - this.ThoughtsTokenCount = thoughtsTokenCount; - this.PromptTokenCount = promptTokenCount; - this.CacheTokensDetails = cacheTokensDetails; - this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; this.ToolUsePromptTokenCount = toolUsePromptTokenCount; - this.TotalTokenCount = totalTokenCount; this.PromptTokensDetails = promptTokensDetails; + this.ThoughtsTokenCount = thoughtsTokenCount; + this.TotalTokenCount = totalTokenCount; + this.PromptTokenCount = promptTokenCount; + this.CachedContentTokenCount = cachedContentTokenCount; this.CandidatesTokensDetails = candidatesTokensDetails; this.CandidatesTokenCount = candidatesTokenCount; + this.CacheTokensDetails = cacheTokensDetails; + this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; this.ResponseTokenCount = responseTokenCount; this.ResponseTokensDetails = responseTokensDetails; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs index 3719af7e..1ade518a 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? StartOffset { get; set; } /// - /// Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. + /// Optional. The end offset of the video. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fps")] + [global::System.Text.Json.Serialization.JsonPropertyName("endOffset")] [global::System.Obsolete("This property marked as deprecated.")] - public double? Fps { get; set; } + public string? EndOffset { get; set; } /// - /// 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]. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endOffset")] + [global::System.Text.Json.Serialization.JsonPropertyName("fps")] [global::System.Obsolete("This property marked as deprecated.")] - public string? EndOffset { 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 start offset of the video. /// - /// - /// Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. - /// /// /// Optional. The end offset of the video. /// + /// + /// Optional. The 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? startOffset, - double? fps, - string? endOffset) + string? endOffset, + double? fps) { this.StartOffset = startOffset; - this.Fps = fps; this.EndOffset = endOffset; + this.Fps = fps; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs index 31d654f1..76dde679 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class Web { /// - /// Output only. Title of the chunk.
+ /// Output only. URI reference of the chunk.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Output only. URI reference of the chunk.
+ /// Output only. Title of the chunk.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class Web /// /// Initializes a new instance of the class. /// - /// - /// Output only. Title of the chunk.
- /// Included only in responses - /// /// /// Output only. URI reference of the chunk.
/// Included only in responses /// + /// + /// Output only. Title of the chunk.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Web( - string? title, - string? uri) + string? uri, + string? title) { - this.Title = title; this.Uri = uri; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs index 6775dc95..df96fff2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class WhiteSpaceConfig { - /// - /// Maximum number of overlapping tokens between two adjacent chunks. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOverlapTokens")] - public int? MaxOverlapTokens { get; set; } - /// /// Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow. /// [global::System.Text.Json.Serialization.JsonPropertyName("maxTokensPerChunk")] public int? MaxTokensPerChunk { get; set; } + /// + /// Maximum number of overlapping tokens between two adjacent chunks. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxOverlapTokens")] + public int? MaxOverlapTokens { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class WhiteSpaceConfig /// /// Initializes a new instance of the class. /// - /// - /// Maximum number of overlapping tokens between two adjacent chunks. - /// /// /// Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow. /// + /// + /// Maximum number of overlapping tokens between two adjacent chunks. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public WhiteSpaceConfig( - int? maxOverlapTokens, - int? maxTokensPerChunk) + int? maxTokensPerChunk, + int? maxOverlapTokens) { - this.MaxOverlapTokens = maxOverlapTokens; this.MaxTokensPerChunk = maxTokensPerChunk; + this.MaxOverlapTokens = maxOverlapTokens; } /// diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index 95d3d084..8b0be97c 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,57 +11,38 @@ } ], "paths": { - "/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", + "/dynamic/{dynamicId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "dynamic.generateContent", "parameters": [ { - "name": "batchesId", + "name": "dynamicId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" } } } - } - }, - "delete": { - "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", - "operationId": "batches.delete", - "parameters": [ - { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource to be deleted.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -69,28 +50,19 @@ } } }, - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + "/dynamic/{dynamicId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", "parameters": [ { - "name": "batchesId", + "name": "dynamicId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^dynamic/[^/]+$" } } ], @@ -98,7 +70,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -109,60 +81,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/GenerateContentResponse" } - } - } - } - } - } - }, - "/batches": { - "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "batches.list", - "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", - "schema": { - "type": "string" - } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { + }, + "text/event-stream": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -170,19 +94,19 @@ } } }, - "/batches/{batchesId}:cancel": { - "post": { - "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", - "operationId": "batches.cancel", + "/cachedContents/{cachedContentsId}": { + "get": { + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.get", "parameters": [ { - "name": "batchesId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], @@ -192,33 +116,31 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/batches/{batchesId}:updateGenerateContentBatch": { + }, "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", "parameters": [ { - "name": "batchesId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } }, { "name": "updateMask", "in": "query", - "description": "Optional. The list of fields to update.", + "description": "The list of fields to update.", "schema": { "type": "string", "format": "google-fieldmask" @@ -229,7 +151,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/CachedContent" } } } @@ -240,7 +162,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/CachedContent" + } + } + } + } + } + }, + "delete": { + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", + "parameters": [ + { + "name": "cachedContentsId", + "in": "path", + "required": true, + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "schema": { + "type": "string", + "pattern": "^cachedContents/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" } } } @@ -248,15 +198,15 @@ } } }, - "/files": { + "/cachedContents": { "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileRequest" + "$ref": "#/components/schemas/CachedContent" } } } @@ -267,7 +217,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/CachedContent" } } } @@ -275,13 +225,13 @@ } }, "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", + "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", "schema": { "type": "integer", "format": "int32" @@ -290,7 +240,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", + "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", "schema": { "type": "string" } @@ -302,7 +252,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFilesResponse" + "$ref": "#/components/schemas/ListCachedContentsResponse" } } } @@ -310,19 +260,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "/models/{modelsId}:countTokens": { "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", + "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", + "operationId": "models.countTokens", "parameters": [ { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -330,7 +280,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + "$ref": "#/components/schemas/CountTokensRequest" } } } @@ -341,7 +291,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/CountTokensResponse" } } } @@ -349,15 +299,15 @@ } } }, - "/generatedFiles": { + "/models": { "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.list", + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -366,7 +316,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", "schema": { "type": "string" } @@ -378,7 +328,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/ListModelsResponse" } } } @@ -386,27 +336,19 @@ } } }, - "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { + "/models/{modelsId}": { "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "generatedFiles.operations.get", + "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", + "operationId": "models.get", "parameters": [ { - "name": "operationsId", + "name": "modelsId", "in": "path", "required": true, + "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { - "type": "string" - } - }, - { - "name": "generatedFilesId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + "type": "string", + "pattern": "^models/[^/]+$" } } ], @@ -416,7 +358,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Model" } } } @@ -424,15 +366,27 @@ } } }, - "/corpora": { + "/models/{modelsId}:batchGenerateContent": { "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", + "parameters": [ + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -443,42 +397,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" - } - } - } - } - } - }, - "get": { - "description": "Lists all `Corpora` owned by the user.", - "operationId": "corpora.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", - "schema": { - "type": "string" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListCorporaResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -486,65 +405,82 @@ } } }, - "/corpora/{corporaId}": { - "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", + "/models/{modelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "models.streamGenerateContent", "parameters": [ { - "name": "corporaId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, - "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.delete", + } + }, + "/models/{modelsId}:batchEmbedContents": { + "post": { + "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", + "operationId": "models.batchEmbedContents", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "corporaId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchEmbedContentsRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } @@ -552,37 +488,38 @@ } } }, - "/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", + "/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": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -590,64 +527,58 @@ } } }, - "/corpora/{corporaId}/permissions": { - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "corpora.permissions.list", + "/models/{modelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "models.asyncBatchEmbedContent", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/models/{modelsId}:embedContent": { "post": { - "description": "Create a permission to a specific resource.", - "operationId": "corpora.permissions.create", + "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": "corporaId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "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": "^corpora/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -655,7 +586,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/EmbedContentRequest" } } } @@ -666,7 +597,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -674,103 +605,76 @@ } } }, - "/corpora/{corporaId}/permissions/{permissionsId}": { + "/models/{modelsId}/operations": { "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.permissions.get", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "models.operations.list", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, + "name": "filter", + "in": "query", + "description": "The standard list filter.", "schema": { "type": "string" } }, { - "name": "corporaId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation's parent resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } + "pattern": "^models/[^/]+$" } - } - } - }, - "patch": { - "description": "Updates the permission.", - "operationId": "corpora.permissions.patch", - "parameters": [ + }, { - "name": "permissionsId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", "schema": { - "type": "string" + "type": "integer", + "format": "int32" } }, { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "type": "string" } }, { - "name": "updateMask", + "name": "returnPartialSuccess", "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "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", - "format": "google-fieldmask" + "type": "boolean" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListOperationsResponse" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", + } + }, + "/models/{modelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "models.operations.get", "parameters": [ { - "name": "permissionsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -778,13 +682,13 @@ } }, { - "name": "corporaId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], @@ -794,7 +698,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -802,93 +706,64 @@ } } }, - "/tunedModels/{tunedModelsId}": { - "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + "/generatedFiles": { + "get": { + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "integer", + "format": "int32" } }, { - "name": "updateMask", + "name": "pageToken", "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", "schema": { - "type": "string", - "format": "google-fieldmask" + "type": "string" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/ListGeneratedFilesResponse" } } } } } - }, + } + }, + "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "generatedFiles.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" - } - } + "type": "string" } - } - } - }, - "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", - "parameters": [ + }, { - "name": "tunedModelsId", + "name": "generatedFilesId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" } } ], @@ -898,7 +773,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -906,38 +781,29 @@ } } }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "/batches/{batchesId}:cancel": { "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -945,19 +811,28 @@ } } }, - "/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", + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -965,7 +840,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -976,12 +851,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -989,77 +859,57 @@ } } }, - "/tunedModels/{tunedModelsId}:transferOwnership": { - "post": { - "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", - "operationId": "tunedModels.transferOwnership", + "/batches/{batchesId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "batches.get", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" + "$ref": "#/components/schemas/Operation" } } } } } - } - }, - "/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", + }, + "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", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "The name of the operation resource to be deleted.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -1067,38 +917,52 @@ } } }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", + "/batches": { + "get": { + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "batches.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "filter", + "in": "query", + "description": "The standard list filter.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "string" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } + }, + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -1106,50 +970,55 @@ } } }, - "/tunedModels": { - "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + "/batches/{batchesId}:updateGenerateContentBatch": { + "patch": { + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", "parameters": [ { - "name": "filter", - "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", - "schema": { - "type": "string" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { - "type": "integer", - "format": "int32" + "type": "string", + "pattern": "^batches/[^/]+$" } }, { - "name": "pageToken", + "name": "updateMask", "in": "query", - "description": "Optional. A page token, received from a previous `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. The list of fields to update.", "schema": { - "type": "string" + "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/ListTunedModelsResponse" + "$ref": "#/components/schemas/GenerateContentBatch" } } } } } - }, + } + }, + "/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", @@ -1184,83 +1053,64 @@ } } } - } - }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + }, + "get": { + "description": "Lists created tuned models.", + "operationId": "tunedModels.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, + "name": "filter", + "in": "query", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", "schema": { "type": "string" } }, { - "name": "permissionsId", - "in": "path", - "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "type": "integer", + "format": "int32" } }, { - "name": "updateMask", + "name": "pageToken", "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Optional. A page token, 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", - "format": "google-fieldmask" + "type": "string" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + } + }, + "/tunedModels/{tunedModelsId}": { + "get": { + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1270,33 +1120,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/TunedModel" } } } } } }, - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "delete": { + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1306,69 +1148,70 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/tunedModels/{tunedModelsId}/permissions": { - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", + }, + "patch": { + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", "schema": { - "type": "integer", - "format": "int32" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } }, { - "name": "pageToken", + "name": "updateMask", "in": "query", - "description": "Optional. A page token, 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}`", + "description": "Optional. The list of fields to update.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/TunedModel" } } } } } - }, + } + }, + "/tunedModels/{tunedModelsId}:batchGenerateContent": { "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^tunedModels/[^/]+$" @@ -1379,7 +1222,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -1390,7 +1233,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } @@ -1398,30 +1241,70 @@ } } }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "tunedModels.operations.get", + "/tunedModels/{tunedModelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" - } - }, + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" + } + } + } + } + } + } + }, + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", + "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", @@ -1436,6 +1319,89 @@ } } }, + "/tunedModels/{tunedModelsId}:transferOwnership": { + "post": { + "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", + "operationId": "tunedModels.transferOwnership", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TransferOwnershipRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TransferOwnershipResponse" + } + } + } + } + } + } + }, + "/tunedModels/{tunedModelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "tunedModels.streamGenerateContent", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$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" + } + } + } + } + } + } + }, "/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`.", @@ -1499,19 +1465,27 @@ } } }, - "/cachedContents/{cachedContentsId}": { - "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", + "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "tunedModels.operations.get", "parameters": [ { - "name": "cachedContentsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "schema": { + "type": "string" + } + }, + { + "name": "operationsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" } } ], @@ -1521,7 +1495,45 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + } + }, + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" } } } @@ -1529,23 +1541,31 @@ } }, "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { - "name": "cachedContentsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } }, { "name": "updateMask", "in": "query", - "description": "The list of fields to update.", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", "schema": { "type": "string", "format": "google-fieldmask" @@ -1556,7 +1576,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Permission" } } } @@ -1567,25 +1587,33 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Permission" } } } } } }, - "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.get", + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "parameters": [ { - "name": "cachedContentsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -1595,7 +1623,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Empty" } } } @@ -1603,26 +1631,38 @@ } } }, - "/cachedContents": { + "/tunedModels/{tunedModelsId}/permissions": { "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Permission" } } } @@ -1630,13 +1670,13 @@ } }, "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -1645,10 +1685,20 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } + }, + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } } ], "responses": { @@ -1657,7 +1707,69 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" + } + } + } + } + } + } + }, + "/files": { + "get": { + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListFiles` call.", + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListFilesResponse" + } + } + } + } + } + }, + "post": { + "description": "Creates a `File`.", + "operationId": "media.upload", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateFileRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateFileResponse" } } } @@ -1750,129 +1862,35 @@ } } }, - "/dynamic/{dynamicId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "dynamic.generateContent", - "parameters": [ - { - "name": "dynamicId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^dynamic/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - } - } - } - } - } - }, - "/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" - } - } - } - } - } - } - }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { - "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", + "/fileSearchStores/{fileSearchStoresId}": { + "get": { + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", "pattern": "^fileSearchStores/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ImportFileRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/FileSearchStore" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}": { + }, "delete": { "description": "Deletes a `FileSearchStore`.", "operationId": "fileSearchStores.delete", @@ -1908,29 +1926,40 @@ } } } - }, - "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + } + }, + "/fileSearchStores/{fileSearchStoresId}:importFile": { + "post": { + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", "pattern": "^fileSearchStores/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ImportFileRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Operation" } } } @@ -2000,27 +2029,36 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "/fileSearchStores/{fileSearchStoresId}/documents": { "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.upload.operations.get", + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", "schema": { - "type": "string" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", + "schema": { + "type": "string" } }, { "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -2030,7 +2068,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } @@ -2120,24 +2158,15 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents": { + "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.operations.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", + "name": "operationsId", + "in": "path", + "required": true, "schema": { "type": "string" } @@ -2146,10 +2175,10 @@ "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], @@ -2159,7 +2188,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -2167,10 +2196,10 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { "name": "operationsId", @@ -2187,7 +2216,7 @@ "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], @@ -2205,19 +2234,19 @@ } } }, - "/models/{modelsId}:generateContent": { + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { "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": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", "parameters": [ { - "name": "modelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -2225,7 +2254,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" } } } @@ -2236,7 +2265,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } @@ -2244,27 +2273,15 @@ } } }, - "/models/{modelsId}:batchEmbedContents": { + "/corpora": { "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": "modelsId", - "in": "path", - "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - } - ], + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" + "$ref": "#/components/schemas/Corpus" } } } @@ -2275,51 +2292,42 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/Corpus" } } } } } - } - }, - "/models/{modelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", + }, + "get": { + "description": "Lists all `Corpora` owned by the user.", + "operationId": "corpora.list", "parameters": [ { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", "schema": { - "type": "string", - "pattern": "^models/[^/]+$" + "type": "integer", + "format": "int32" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", + "schema": { + "type": "string" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/ListCorporaResponse" } } } @@ -2327,65 +2335,55 @@ } } }, - "/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", + "/corpora/{corporaId}": { + "get": { + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", "parameters": [ { - "name": "modelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/Corpus" } } } } } - } - }, - "/models": { - "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + }, + "delete": { + "description": "Deletes a `Corpus`.", + "operationId": "corpora.delete", "parameters": [ { - "name": "pageSize", + "name": "force", "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", "schema": { - "type": "integer", - "format": "int32" + "type": "boolean" } }, { - "name": "pageToken", - "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { - "type": "string" + "type": "string", + "pattern": "^corpora/[^/]+$" } } ], @@ -2395,7 +2393,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -2403,19 +2401,27 @@ } } }, - "/models/{modelsId}": { + "/corpora/{corporaId}/operations/{operationsId}": { "get": { - "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", - "operationId": "models.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "corpora.operations.get", "parameters": [ { - "name": "modelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -2425,7 +2431,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/Operation" } } } @@ -2433,66 +2439,80 @@ } } }, - "/models/{modelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + "/corpora/{corporaId}/permissions/{permissionsId}": { + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "corpora.permissions.get", "parameters": [ { - "name": "modelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/models/{modelsId}:countTokens": { - "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", + }, + "patch": { + "description": "Updates the permission.", + "operationId": "corpora.permissions.patch", "parameters": [ { - "name": "modelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { - "type": "string", - "pattern": "^models/[^/]+$" + "type": "string" } - } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" + } + } ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -2503,46 +2523,43 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/models/{modelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "corpora.permissions.delete", "parameters": [ { - "name": "modelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -2550,90 +2567,73 @@ } } }, - "/models/{modelsId}/operations": { - "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "models.operations.list", + "/corpora/{corporaId}/permissions": { + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "corpora.permissions.create", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "modelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation's parent resource.", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", - "schema": { - "type": "string" - } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" + "pattern": "^corpora/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/models/{modelsId}/operations/{operationsId}": { + }, "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "models.operations.get", + "description": "Lists permissions for the specific resource.", + "operationId": "corpora.permissions.list", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } }, { - "name": "modelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -2643,7 +2643,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -2654,813 +2654,726 @@ }, "components": { "schemas": { - "FunctionCallingConfig": { + "FunctionCall": { "type": "object", - "description": "Configuration for specifying function calling behavior.", "properties": { - "mode": { - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", - "type": "string", - "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\"." - ], - "enum": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" - ] + "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" }, - "allowedFunctionNames": { - "type": "array", - "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", - "items": { - "type": "string" - } - } - } - }, - "UrlMetadata": { - "type": "object", - "description": "Context of the a single url retrieval.", - "properties": { - "retrievedUrl": { - "type": "string", - "description": "Retrieved url by the tool." + "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" }, - "urlRetrievalStatus": { - "description": "Status of the url retrieval.", - "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Url retrieval is successful.", - "Url retrieval is failed due to error.", - "Url retrieval is failed because the content is behind paywall.", - "Url retrieval is failed because the content is unsafe." - ], - "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" - ] + "args": { + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object", + "description": "Optional. The function parameters and values in JSON object format." } - } + }, + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values." }, - "SearchEntryPoint": { + "EmbedContentBatchOutput": { "type": "object", - "description": "Google search entry point.", - "properties": { - "renderedContent": { - "type": "string", - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview." - }, - "sdkBlob": { - "type": "string", - "description": "Optional. Base64 encoded JSON representing array of tuple.", - "format": "byte" - } - } - }, - "RetrievalConfig": { - "description": "Retrieval config.", "properties": { - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" + "inlinedResponses": { + "$ref": "#/components/schemas/InlinedEmbedContentResponses", + "readOnly": true, + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." }, - "languageCode": { - "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", + "responsesFile": { + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "readOnly": true, "type": "string" } }, - "type": "object" + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field." }, - "LatLng": { + "InlinedRequest": { + "description": "The request to be processed in the batch.", "type": "object", - "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", "properties": { - "longitude": { - "type": "number", - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", - "format": "double" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" }, - "latitude": { - "type": "number", - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", - "format": "double" + "metadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The metadata to be associated with the request." } } }, - "GroundingChunk": { - "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", - "properties": { - "web": { - "$ref": "#/components/schemas/Web", - "description": "Grounding chunk from the web." + "TuningTask": { + "type": "object", + "properties": { + "trainingData": { + "description": "Required. Input only. Immutable. The model training data.", + "$ref": "#/components/schemas/Dataset" }, - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" + "startTime": { + "description": "Output only. The timestamp when tuning this model started.", + "readOnly": true, + "type": "string", + "format": "google-datetime" }, - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" + "snapshots": { + "items": { + "$ref": "#/components/schemas/TuningSnapshot" + }, + "readOnly": true, + "type": "array", + "description": "Output only. Metrics collected during tuning." }, - "maps": { - "$ref": "#/components/schemas/Maps", - "description": "Optional. Grounding chunk from Google Maps." + "hyperparameters": { + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", + "$ref": "#/components/schemas/Hyperparameters" + }, + "completeTime": { + "description": "Output only. The timestamp when tuning this model completed.", + "readOnly": true, + "type": "string", + "format": "google-datetime" } }, - "type": "object" + "description": "Tuning tasks that create tuned models." }, - "CustomMetadata": { + "RetrievedContext": { + "description": "Chunk from context retrieved by the file search tool.", "type": "object", - "description": "User provided metadata stored as key-value pairs.", "properties": { - "stringValue": { - "description": "The string value of the metadata to store.", + "fileSearchStore": { + "type": "string", + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`" + }, + "text": { + "description": "Optional. Text of the chunk.", "type": "string" }, - "stringListValue": { - "$ref": "#/components/schemas/StringList", - "description": "The StringList value of the metadata to store." + "customMetadata": { + "items": { + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + }, + "type": "array", + "description": "Optional. User-provided metadata about the retrieved context." }, - "numericValue": { - "description": "The numeric value of the metadata to store.", - "format": "float", - "type": "number" + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", + "type": "string" }, - "key": { - "description": "Required. The key of the metadata to store.", + "title": { + "type": "string", + "description": "Optional. Title of the document." + }, + "pageNumber": { + "type": "integer", + "format": "int32", + "description": "Optional. Page number of the retrieved context, if applicable." + }, + "mediaId": { + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", "type": "string" } } }, - "SpeechConfig": { - "description": "Config for speech generation and transcription.", + "GenerateContentBatchOutput": { "properties": { - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" - }, - "voiceConfig": { - "$ref": "#/components/schemas/VoiceConfig", - "description": "The configuration in case of single-voice output." + "responsesFile": { + "readOnly": true, + "type": "string", + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." }, - "languageCode": { - "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", - "type": "string" + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "$ref": "#/components/schemas/InlinedResponses", + "readOnly": true } }, - "type": "object" + "type": "object", + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field." }, - "EmbedContentConfig": { - "description": "Configurations for the EmbedContent request.", + "SearchTypes": { "properties": { - "documentOcr": { - "type": "boolean", - "description": "Optional. Whether to enable OCR for document content." - }, - "title": { - "type": "string", - "description": "Optional. The title for the text." - }, - "taskType": { - "description": "Optional. The task type of the embedding.", - "type": "string", - "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." - ], - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ] - }, - "outputDimensionality": { - "type": "integer", - "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", - "format": "int32" - }, - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", - "type": "boolean" + "webSearch": { + "description": "Optional. Enables web search. Only text results are returned.", + "$ref": "#/components/schemas/WebSearch" }, - "audioTrackExtraction": { - "description": "Optional. Whether to extract audio from video content.", - "type": "boolean" + "imageSearch": { + "description": "Optional. Enables image search. Image bytes are returned.", + "$ref": "#/components/schemas/ImageSearch" } }, - "type": "object" + "type": "object", + "description": "Different types of search that can be enabled on the GoogleSearch tool." }, - "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.", + "WhiteSpaceConfig": { "properties": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" + "maxTokensPerChunk": { + "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", + "type": "integer", + "format": "int32" + }, + "maxOverlapTokens": { + "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "type": "integer", + "format": "int32" } }, - "type": "object" + "type": "object", + "description": "Configuration for a white space chunking algorithm [white space delimited]." }, - "TunedModel": { + "TuningSnapshot": { + "description": "Record for a single tuning step.", "type": "object", - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", "properties": { - "topP": { - "type": "number", - "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", - "format": "float" - }, - "description": { - "description": "Optional. A short description of this model.", - "type": "string" - }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" - }, - "name": { - "type": "string", + "computeTime": { "readOnly": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`" - }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" - }, - "state": { - "x-enum-descriptions": [ - "The default value. This value is unused.", - "The model is being created.", - "The model is ready to be used.", - "The model failed to be created." - ], - "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" - ], "type": "string", - "readOnly": true, - "description": "Output only. The state of the tuned model." - }, - "createTime": { - "description": "Output only. The timestamp when this model was created.", "format": "google-datetime", - "readOnly": true, - "type": "string" + "description": "Output only. The timestamp when this metric was computed." }, - "updateTime": { + "epoch": { "readOnly": true, - "description": "Output only. The timestamp when this model was updated.", - "format": "google-datetime", - "type": "string" - }, - "topK": { - "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", + "type": "integer", "format": "int32", - "type": "integer" + "description": "Output only. The epoch this step was part of." }, - "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", - "type": "string" + "step": { + "readOnly": true, + "type": "integer", + "format": "int32", + "description": "Output only. The tuning step." }, - "temperature": { + "meanLoss": { + "readOnly": true, "type": "number", - "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", - "format": "float" - }, - "readerProjectNumbers": { - "type": "array", - "description": "Optional. List of project numbers that have read access to the tuned model.", - "items": { - "type": "string", - "format": "int64" - } - }, - "displayName": { - "type": "string", - "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces." + "format": "float", + "description": "Output only. The mean loss of the training examples for this step." } } }, - "InlinedEmbedContentResponses": { - "description": "The responses to the requests in the batch.", + "GoogleMaps": { "properties": { - "inlinedResponses": { - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" - }, - "description": "Output only. The responses to the requests in the batch." + "enableWidget": { + "type": "boolean", + "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response." } }, - "type": "object" + "type": "object", + "description": "The GoogleMaps Tool that provides geospatial context for the user's query." }, - "Interval": { + "GroundingPassageId": { + "description": "Identifier for a part within a `GroundingPassage`.", "type": "object", - "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", "properties": { - "startTime": { - "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", - "format": "google-datetime", - "type": "string" + "passageId": { + "readOnly": true, + "type": "string", + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`." }, - "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" - } + "partIndex": { + "readOnly": true, + "type": "integer", + "format": "int32", + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`." + } } }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", + "InlinedEmbedContentRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "type": "object", "properties": { - "values": { + "requests": { + "description": "Required. The requests to be processed in the batch.", + "type": "array", "items": { - "type": "string" - }, - "description": "The string values of the metadata to store.", - "type": "array" + "$ref": "#/components/schemas/InlinedEmbedContentRequest" + } } - }, - "type": "object" + } }, - "GenerateContentRequest": { + "GroundingChunk": { "type": "object", - "description": "Request to generate a completion from the model.", "properties": { - "generationConfig": { - "$ref": "#/components/schemas/GenerationConfig", - "description": "Optional. Configuration options for model generation and outputs." - }, - "tools": { - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", - "items": { - "$ref": "#/components/schemas/Tool" - }, - "type": "array" - }, - "serviceTier": { - "type": "string", - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ], - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ], - "description": "Optional. The service tier of the request." - }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" - }, - "toolConfig": { - "$ref": "#/components/schemas/ToolConfig", - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example." - }, - "cachedContent": { - "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", - "type": "string" - }, - "store": { - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", - "type": "boolean" + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" + "web": { + "description": "Grounding chunk from the web.", + "$ref": "#/components/schemas/Web" }, - "contents": { - "items": { - "$ref": "#/components/schemas/Content" - }, - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", - "type": "array" + "maps": { + "description": "Optional. Grounding chunk from Google Maps.", + "$ref": "#/components/schemas/Maps" }, - "safetySettings": { - "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", - "items": { - "$ref": "#/components/schemas/SafetySetting" - }, - "type": "array" + "image": { + "description": "Optional. Grounding chunk from image search.", + "$ref": "#/components/schemas/Image" } - } + }, + "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps." }, - "SpeakerVoiceConfig": { + "Dataset": { + "description": "Dataset for training or validation.", "type": "object", - "description": "The configuration for a single speaker in a multi speaker setup.", "properties": { - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" - }, - "speaker": { - "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", - "type": "string" + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" } } }, - "GroundingChunkCustomMetadata": { - "description": "User provided metadata about the GroundingFact.", + "LatLng": { "properties": { - "numericValue": { - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", - "format": "float", - "type": "number" - }, - "stringValue": { - "description": "Optional. The string value of the metadata.", - "type": "string" - }, - "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" + "latitude": { + "type": "number", + "format": "double", + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0]." }, - "key": { - "description": "The key of the metadata.", - "type": "string" + "longitude": { + "type": "number", + "format": "double", + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0]." } }, - "type": "object" + "type": "object", + "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." }, - "ListCorporaResponse": { - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", + "TuningExample": { + "description": "A single example for tuning.", "properties": { - "corpora": { - "type": "array", - "description": "The returned corpora.", - "items": { - "$ref": "#/components/schemas/Corpus" - } + "textInput": { + "type": "string", + "description": "Optional. Text model input." }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "output": { + "description": "Required. The expected model output.", "type": "string" } }, "type": "object" }, - "GenerateContentBatch": { + "Empty": { + "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", "type": "object", - "description": "A resource representing a batch of `GenerateContent` requests.", + "properties": {} + }, + "CitationSource": { "properties": { - "model": { - "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." - }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" - }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "format": "int64", - "type": "string" - }, - "createTime": { - "type": "string", - "readOnly": true, - "description": "Output only. The time at which the batch was created.", - "format": "google-datetime" - }, - "endTime": { - "readOnly": true, - "description": "Output only. The time at which the batch processing completed.", - "format": "google-datetime", - "type": "string" - }, - "updateTime": { - "readOnly": true, - "description": "Output only. The time at which the batch was last updated.", - "format": "google-datetime", + "license": { + "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", "type": "string" }, - "state": { - "type": "string", - "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" - ] + "startIndex": { + "type": "integer", + "format": "int32", + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes." }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "readOnly": true, - "$ref": "#/components/schemas/BatchStats" + "endIndex": { + "description": "Optional. End of the attributed segment, exclusive.", + "type": "integer", + "format": "int32" }, - "name": { + "uri": { "type": "string", - "readOnly": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." - }, - "output": { - "description": "Output only. The output of the batch request.", - "readOnly": true, - "$ref": "#/components/schemas/GenerateContentBatchOutput" - }, - "displayName": { - "description": "Required. The user-defined name of this batch.", - "type": "string" + "description": "Optional. URI that is attributed as a source for a portion of the text." } - } + }, + "type": "object", + "description": "A citation to a source for a portion of a specific response." }, - "TopCandidates": { - "description": "Candidates with top log probabilities at each decoding step.", + "ListTunedModelsResponse": { + "description": "Response from `ListTunedModels` containing a paginated list of Models.", "properties": { - "candidates": { - "type": "array", + "tunedModels": { "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" + "$ref": "#/components/schemas/TunedModel" }, - "description": "Sorted by log probability in descending order." + "type": "array", + "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" } }, "type": "object" }, - "CountTokensRequest": { - "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", + "GoogleSearch": { + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", "properties": { - "contents": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Content" - }, - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set." + "timeRangeFilter": { + "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", + "$ref": "#/components/schemas/Interval" }, - "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.", - "$ref": "#/components/schemas/GenerateContentRequest" + "searchTypes": { + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", + "$ref": "#/components/schemas/SearchTypes" } }, "type": "object" }, - "EmbedContentResponse": { - "description": "The response to an `EmbedContentRequest`.", + "ReviewSnippet": { "properties": { - "embedding": { - "readOnly": true, - "$ref": "#/components/schemas/ContentEmbedding", - "description": "Output only. The embedding generated from the input content." + "reviewId": { + "description": "The ID of the review snippet.", + "type": "string" }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata" + "googleMapsUri": { + "type": "string", + "description": "A link that corresponds to the user review on Google Maps." + }, + "title": { + "description": "Title of the review.", + "type": "string" + } + }, + "type": "object", + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps." + }, + "ListModelsResponse": { + "description": "Response from `ListModel` containing a paginated list of Models.", + "properties": { + "models": { + "description": "The returned Models.", + "items": { + "$ref": "#/components/schemas/Model" + }, + "type": "array" + }, + "nextPageToken": { + "type": "string", + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." } }, "type": "object" }, - "TuningExamples": { + "ListGeneratedFilesResponse": { + "description": "Response for `ListGeneratedFiles`.", "type": "object", - "description": "A set of tuning examples. Can be training or validation data.", "properties": { - "examples": { - "type": "array", - "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", + "generatedFiles": { + "description": "The list of `GeneratedFile`s.", "items": { - "$ref": "#/components/schemas/TuningExample" - } + "$ref": "#/components/schemas/GeneratedFile" + }, + "type": "array" + }, + "nextPageToken": { + "type": "string", + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call." } } }, - "GenerateContentResponse": { - "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", + "ToolResponse": { + "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", "properties": { - "modelVersion": { - "description": "Output only. The model version used to generate the response.", - "readOnly": true, - "type": "string" + "toolType": { + "type": "string", + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ] }, - "promptFeedback": { - "$ref": "#/components/schemas/PromptFeedback", - "description": "Returns the prompt's feedback related to the content filters." + "response": { + "description": "Optional. The tool response.", + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object" }, - "responseId": { - "type": "string", - "readOnly": true, - "description": "Output only. response_id is used to identify each response." + "id": { + "description": "Optional. The identifier of the tool call this response is for.", + "type": "string" + } + }, + "type": "object" + }, + "ContentEmbedding": { + "type": "object", + "properties": { + "values": { + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", + "items": { + "type": "number", + "format": "float" + }, + "type": "array" }, - "candidates": { + "shape": { + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", "items": { - "$ref": "#/components/schemas/Candidate" + "type": "integer", + "format": "int32" }, - "description": "Candidate responses from the model.", "type": "array" + } + }, + "description": "A list of floats representing an embedding." + }, + "CodeExecutionResult": { + "type": "object", + "properties": { + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "type": "string" }, - "usageMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/UsageMetadata", - "description": "Output only. Metadata on the generation requests' token usage." + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "type": "string" }, - "modelStatus": { - "description": "Output only. The current model status of this model.", - "readOnly": true, - "$ref": "#/components/schemas/ModelStatus" + "outcome": { + "type": "string", + "x-enum-descriptions": [ + "Unspecified status. This value should not be used.", + "Code execution completed successfully. `output` contains the stdout, if any.", + "Code execution failed. `output` contains the stderr and stdout, if any.", + "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." + ], + "description": "Required. Outcome of the code execution.", + "enum": [ + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" + ] } }, - "type": "object" + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used." }, - "Maps": { - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", + "AttributionSourceId": { + "description": "Identifier for the source contributing to this attribution.", + "type": "object", "properties": { - "placeId": { - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", - "type": "string" + "groundingPassage": { + "description": "Identifier for an inline passage.", + "$ref": "#/components/schemas/GroundingPassageId" }, - "placeAnswerSources": { - "$ref": "#/components/schemas/PlaceAnswerSources", - "description": "Sources that provide answers about the features of a given place in Google Maps." + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" + } + } + }, + "UploadToFileSearchStoreRequest": { + "type": "object", + "properties": { + "customMetadata": { + "description": "Custom metadata to be associated with the data.", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + }, + "type": "array" }, - "uri": { - "description": "URI reference of the place.", + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", "type": "string" }, - "text": { - "description": "Text description of the place answer.", + "displayName": { + "description": "Optional. Display name of the created document.", "type": "string" }, - "title": { - "description": "Title of the place.", - "type": "string" + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" } }, - "type": "object" + "description": "Request for `UploadToFileSearchStore`." }, - "TunedModelSource": { - "description": "Tuned model as a source for training a new model.", + "GoogleSearchRetrieval": { + "description": "Tool to retrieve public web data for grounding, powered by Google.", "properties": { - "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`" - }, - "baseModel": { - "readOnly": true, - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", - "type": "string" + "dynamicRetrievalConfig": { + "description": "Specifies the dynamic retrieval configuration for the given source.", + "$ref": "#/components/schemas/DynamicRetrievalConfig" } }, "type": "object" }, - "BatchEmbedContentsResponse": { - "description": "The response to a `BatchEmbedContentsRequest`.", + "CreateFileRequest": { + "type": "object", "properties": { - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata" - }, - "embeddings": { - "type": "array", - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ContentEmbedding" - } + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" } }, - "type": "object" + "description": "Request for `CreateFile`." }, - "ToolConfig": { - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "ChunkingConfig": { + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", "properties": { - "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." - }, - "retrievalConfig": { - "$ref": "#/components/schemas/RetrievalConfig", - "description": "Optional. Retrieval config." - }, - "functionCallingConfig": { - "$ref": "#/components/schemas/FunctionCallingConfig", - "description": "Optional. Function calling config." + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" } }, "type": "object" }, - "InputEmbedContentConfig": { - "description": "Configures the input to the batch request.", + "Blob": { + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", + "type": "object", "properties": { - "fileName": { + "mimeType": { "type": "string", - "description": "The name of the `File` containing the input requests." + "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //" }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" + "data": { + "type": "string", + "format": "byte", + "description": "Raw bytes for media formats." } - }, - "type": "object" + } }, - "File": { + "FunctionResponse": { "type": "object", - "description": "A file uploaded to the API. Next ID: 15", "properties": { - "sizeBytes": { - "readOnly": true, - "description": "Output only. Size of the file in bytes.", - "format": "int64", + "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" }, - "expirationTime": { - "type": "string", - "readOnly": true, - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", - "format": "google-datetime" + "parts": { + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", + "items": { + "$ref": "#/components/schemas/FunctionResponsePart" + }, + "type": "array" }, - "downloadUri": { + "id": { "type": "string", - "description": "Output only. The download uri of the `File`.", - "readOnly": true - }, - "error": { - "description": "Output only. Error status if File processing failed.", - "readOnly": true, - "$ref": "#/components/schemas/Status" - }, - "name": { - "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", - "type": "string" + "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`." }, - "sha256Hash": { - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "format": "byte", - "readOnly": true, - "type": "string" - }, - "source": { - "type": "string", + "scheduling": { "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." + "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", + "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" - ], - "description": "Source of the File." + "SCHEDULING_UNSPECIFIED", + "SILENT", + "WHEN_IDLE", + "INTERRUPT" + ] }, - "createTime": { - "type": "string", + "response": { + "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + }, + "willContinue": { + "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", + "type": "boolean" + } + }, + "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." + }, + "InlinedResponses": { + "properties": { + "inlinedResponses": { + "items": { + "$ref": "#/components/schemas/InlinedResponse" + }, "readOnly": true, - "description": "Output only. The timestamp of when the `File` was created.", - "format": "google-datetime" + "type": "array", + "description": "Output only. The responses to the requests in the batch." + } + }, + "type": "object", + "description": "The responses to the requests in the batch." + }, + "ListCorporaResponse": { + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", + "type": "object", + "properties": { + "corpora": { + "description": "The returned corpora.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Corpus" + } }, - "updateTime": { + "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" + } + } + }, + "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "properties": { + "confidenceScores": { + "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", + "items": { + "type": "number", + "format": "float" + }, + "type": "array" + }, + "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).", + "items": { + "type": "integer", + "format": "int32" + }, + "type": "array" + }, + "renderedParts": { + "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", + "readOnly": true, + "type": "array", + "items": { + "type": "integer", + "format": "int32" + } + } + }, + "type": "object", + "description": "Grounding support." + }, + "File": { + "description": "A file uploaded to the API. Next ID: 15", + "type": "object", + "properties": { + "uri": { + "description": "Output only. The uri of the `File`.", + "readOnly": true, + "type": "string" + }, + "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`" + }, + "mimeType": { "readOnly": true, - "description": "Output only. The timestamp of when the `File` was last updated.", - "format": "google-datetime" + "type": "string", + "description": "Output only. MIME type of the file." }, "state": { "x-enum-descriptions": [ @@ -3469,6 +3382,7 @@ "File is processed and available for inference.", "File failed processing." ], + "description": "Output only. Processing state of the File.", "enum": [ "STATE_UNSPECIFIED", "PROCESSING", @@ -3476,1308 +3390,956 @@ "FAILED" ], "readOnly": true, - "description": "Output only. Processing state of the File.", "type": "string" }, - "uri": { - "type": "string", + "createTime": { + "description": "Output only. The timestamp of when the `File` was created.", "readOnly": true, - "description": "Output only. The uri of the `File`." + "type": "string", + "format": "google-datetime" }, - "videoMetadata": { - "description": "Output only. Metadata for a video.", + "expirationTime": { "readOnly": true, - "$ref": "#/components/schemas/VideoFileMetadata" + "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." }, "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" }, - "mimeType": { + "updateTime": { + "description": "Output only. The timestamp of when the `File` was last updated.", + "readOnly": true, "type": "string", - "description": "Output only. MIME type of the file.", - "readOnly": true + "format": "google-datetime" + }, + "videoMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/VideoFileMetadata", + "description": "Output only. Metadata for a video." + }, + "sizeBytes": { + "description": "Output only. Size of the file in bytes.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "sha256Hash": { + "readOnly": true, + "type": "string", + "format": "byte", + "description": "Output only. SHA-256 hash of the uploaded bytes." + }, + "downloadUri": { + "readOnly": true, + "type": "string", + "description": "Output only. The download uri of the `File`." + }, + "source": { + "description": "Source of the File.", + "enum": [ + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" + ], + "x-enum-descriptions": [ + "Used if source is not specified.", + "Indicates the file is uploaded by the user.", + "Indicates the file is generated by Google.", + "Indicates the file is a registered, i.e. a Google Cloud Storage file." + ], + "type": "string" + }, + "error": { + "$ref": "#/components/schemas/Status", + "readOnly": true, + "description": "Output only. Error status if File processing failed." } } }, - "TransferOwnershipRequest": { - "type": "object", - "description": "Request to transfer the ownership of the tuned model.", + "GroundingAttribution": { + "description": "Attribution for a source that contributed to an answer.", "properties": { - "emailAddress": { - "type": "string", - "description": "Required. The email address of the user to whom the tuned model is being transferred to." + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" + }, + "sourceId": { + "description": "Output only. Identifier for the source contributing to this attribution.", + "readOnly": true, + "$ref": "#/components/schemas/AttributionSourceId" } - } + }, + "type": "object" }, "PrebuiltVoiceConfig": { - "description": "The configuration for the prebuilt speaker to use.", "properties": { "voiceName": { "description": "The name of the preset voice to use.", "type": "string" } }, - "type": "object" - }, - "ChunkingConfig": { - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", - "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" - } - }, - "type": "object" + "type": "object", + "description": "The configuration for the prebuilt speaker to use." }, - "EmbedContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", "properties": { - "responsesFile": { - "readOnly": true, - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "type": "string" + "functionCallingConfig": { + "description": "Optional. Function calling config.", + "$ref": "#/components/schemas/FunctionCallingConfig" }, - "inlinedResponses": { - "readOnly": true, - "$ref": "#/components/schemas/InlinedEmbedContentResponses", - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." - } - }, - "type": "object" - }, - "ListGeneratedFilesResponse": { - "description": "Response for `ListGeneratedFiles`.", - "properties": { - "generatedFiles": { - "items": { - "$ref": "#/components/schemas/GeneratedFile" - }, - "description": "The list of `GeneratedFile`s.", - "type": "array" + "retrievalConfig": { + "description": "Optional. Retrieval config.", + "$ref": "#/components/schemas/RetrievalConfig" }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", - "type": "string" + "includeServerSideToolInvocations": { + "type": "boolean", + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions." } }, "type": "object" }, - "EmbeddingUsageMetadata": { - "type": "object", - "description": "Metadata on the usage of the embedding request.", + "Schema": { "properties": { - "promptTokenCount": { - "description": "Output only. Number of tokens in the prompt.", - "format": "int32", - "readOnly": true, - "type": "integer" + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" }, - "promptTokenDetails": { - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, + "minProperties": { + "type": "string", + "format": "int64", + "description": "Optional. Minimum number of the properties for Type.OBJECT." + }, + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." + }, + "default": { + "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." + }, + "required": { + "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "string" }, - "type": "array" - } - } - }, - "ListFileSearchStoresResponse": { - "type": "object", - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", - "properties": { - "fileSearchStores": { + "description": "Optional. Required properties of Type.OBJECT." + }, + "propertyOrdering": { "type": "array", "items": { - "$ref": "#/components/schemas/FileSearchStore" + "type": "string" }, - "description": "The returned rag_stores." + "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response." }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." - } - } - }, - "BatchEmbedContentsRequest": { - "type": "object", - "description": "Batch request to get embeddings from the model for a list of prompts.", - "properties": { - "requests": { + "anyOf": { + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", "items": { - "$ref": "#/components/schemas/EmbedContentRequest" + "$ref": "#/components/schemas/Schema" }, - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", "type": "array" - } - } - }, - "TuningSnapshot": { - "type": "object", - "description": "Record for a single tuning step.", - "properties": { - "step": { - "readOnly": true, - "description": "Output only. The tuning step.", - "format": "int32", - "type": "integer" - }, - "meanLoss": { - "readOnly": true, - "description": "Output only. The mean loss of the training examples for this step.", - "format": "float", - "type": "number" }, - "epoch": { - "type": "integer", - "description": "Output only. The epoch this step was part of.", - "format": "int32", - "readOnly": true - }, - "computeTime": { + "minItems": { + "description": "Optional. Minimum number of the elements for Type.ARRAY.", "type": "string", - "description": "Output only. The timestamp when this metric was computed.", - "format": "google-datetime", - "readOnly": true - } - } - }, - "SemanticRetrieverChunk": { - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", - "properties": { - "chunk": { - "readOnly": true, - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "format": "int64" + }, + "type": { + "description": "Required. Data type.", + "enum": [ + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" + ], + "x-enum-descriptions": [ + "Not specified, should not be used.", + "String type.", + "Number type.", + "Integer type.", + "Boolean type.", + "Array type.", + "Object type.", + "Null type." + ], "type": "string" }, - "source": { + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" + }, + "maxLength": { + "description": "Optional. Maximum length of the Type.STRING", "type": "string", - "readOnly": true, - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`" - } - }, - "type": "object" - }, - "GroundingMetadata": { - "description": "Metadata returned to client when grounding is enabled.", - "properties": { - "webSearchQueries": { + "format": "int64" + }, + "enum": { "type": "array", "items": { "type": "string" }, - "description": "Web search queries for the following-up web search." + "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\"]}" }, - "groundingChunks": { - "type": "array", - "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", - "items": { - "$ref": "#/components/schemas/GroundingChunk" + "maximum": { + "type": "number", + "format": "double", + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER" + }, + "properties": { + "description": "Optional. Properties of Type.OBJECT.", + "type": "object", + "additionalProperties": { + "$ref": "#/components/schemas/Schema" } }, - "groundingSupports": { - "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" - }, - "description": "List of grounding support.", - "type": "array" + "minimum": { + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", + "type": "number", + "format": "double" }, - "googleMapsWidgetContextToken": { - "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", + "format": { + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", "type": "string" }, - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" + "maxItems": { + "type": "string", + "format": "int64", + "description": "Optional. Maximum number of the elements for Type.ARRAY." }, - "imageSearchQueries": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Image search queries used for grounding." + "title": { + "type": "string", + "description": "Optional. The title of the schema." }, - "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" - } - }, - "type": "object" - }, - "Content": { - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", - "properties": { - "parts": { - "type": "array", - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", - "items": { - "$ref": "#/components/schemas/Part" - } + "maxProperties": { + "type": "string", + "format": "int64", + "description": "Optional. Maximum number of the properties for Type.OBJECT." }, - "role": { + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + "type": "string" + }, + "pattern": { + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", + "type": "string" + }, + "minLength": { "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." + "format": "int64", + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING" } }, - "type": "object" + "type": "object", + "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema)." }, - "InlinedEmbedContentRequests": { + "Hyperparameters": { + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", "type": "object", - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "properties": { - "requests": { - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" - }, - "description": "Required. The requests to be processed in the batch.", - "type": "array" + "learningRateMultiplier": { + "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.", + "type": "number", + "format": "float" + }, + "learningRate": { + "type": "number", + "format": "float", + "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples." + }, + "batchSize": { + "type": "integer", + "format": "int32", + "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples." + }, + "epochCount": { + "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used.", + "type": "integer", + "format": "int32" } } }, - "InlinedRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "UsageMetadata": { + "description": "Metadata on the generation request's token usage.", + "type": "object", "properties": { - "requests": { + "toolUsePromptTokenCount": { + "description": "Output only. Number of tokens present in tool-use prompt(s).", + "readOnly": true, + "type": "integer", + "format": "int32" + }, + "promptTokensDetails": { + "description": "Output only. List of modalities that were processed in the request input.", + "readOnly": true, "type": "array", "items": { - "$ref": "#/components/schemas/InlinedRequest" - }, - "description": "Required. The requests to be processed in the batch." - } - }, - "type": "object" - }, - "Model": { - "type": "object", - "description": "Information about a Generative Language Model.", - "properties": { - "maxTemperature": { - "description": "The maximum temperature this model can use.", - "format": "float", - "type": "number" + "$ref": "#/components/schemas/ModalityTokenCount" + } }, - "topK": { + "thoughtsTokenCount": { + "description": "Output only. Number of tokens of thoughts for thinking models.", + "readOnly": true, "type": "integer", - "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", "format": "int32" }, - "inputTokenLimit": { + "totalTokenCount": { + "description": "Total token count for the generation request (prompt + thoughts + response candidates).", "type": "integer", - "description": "Maximum number of input tokens allowed for this model.", "format": "int32" }, - "version": { - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", - "type": "string" - }, - "thinking": { - "description": "Whether the model supports thinking.", - "type": "boolean" - }, - "baseModelId": { - "type": "string", - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`" - }, - "displayName": { - "type": "string", - "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters." + "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." }, - "outputTokenLimit": { + "cachedContentTokenCount": { "type": "integer", - "description": "Maximum number of output tokens available for this model.", - "format": "int32" + "format": "int32", + "description": "Number of tokens in the cached part of the prompt (the cached content)" }, - "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" + "candidatesTokensDetails": { + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were returned in the response." }, - "topP": { - "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", - "format": "float", - "type": "number" + "candidatesTokenCount": { + "description": "Total number of tokens across all the generated response candidates.", + "type": "integer", + "format": "int32" }, - "description": { - "description": "A short description of the model.", - "type": "string" + "cacheTokensDetails": { + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "readOnly": true, + "type": "array", + "description": "Output only. List of modalities of the cached content in the request input." }, - "supportedGenerationMethods": { + "toolUsePromptTokensDetails": { + "readOnly": true, + "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", - "type": "array" + "description": "Output only. List of modalities that were processed for tool-use request inputs." }, - "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" + "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" + } } } }, - "CodeExecution": { - "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", - "properties": {}, - "type": "object" - }, - "FunctionResponseBlob": { + "UrlMetadata": { + "description": "Context of the a single url retrieval.", "type": "object", - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", + "retrievedUrl": { + "description": "Retrieved url by the tool.", "type": "string" }, - "data": { - "description": "Raw bytes for media formats.", - "format": "byte", - "type": "string" + "urlRetrievalStatus": { + "description": "Status of the url retrieval.", + "enum": [ + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" + ], + "type": "string", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Url retrieval is successful.", + "Url retrieval is failed due to error.", + "Url retrieval is failed because the content is behind paywall.", + "Url retrieval is failed because the content is unsafe." + ] } } }, - "FileSearch": { - "type": "object", - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", + "ModalityTokenCount": { + "description": "Represents token counting info for a single modality.", "properties": { - "metadataFilter": { - "type": "string", - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks." + "modality": { + "description": "The modality associated with this token count.", + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" + ], + "x-enum-descriptions": [ + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." + ], + "type": "string" }, - "topK": { - "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "tokenCount": { + "type": "integer", "format": "int32", - "type": "integer" - }, - "fileSearchStoreNames": { - "type": "array", + "description": "Number of tokens." + } + }, + "type": "object" + }, + "EmbeddingUsageMetadata": { + "description": "Metadata on the usage of the embedding request.", + "type": "object", + "properties": { + "promptTokenDetails": { "items": { - "type": "string" + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`" + "readOnly": true, + "type": "array", + "description": "Output only. List of modalities that were processed in the request input." + }, + "promptTokenCount": { + "description": "Output only. Number of tokens in the prompt.", + "readOnly": true, + "type": "integer", + "format": "int32" } } }, - "GoogleSearchRetrieval": { + "ListPermissionsResponse": { + "properties": { + "permissions": { + "description": "Returned permissions.", + "items": { + "$ref": "#/components/schemas/Permission" + }, + "type": "array" + }, + "nextPageToken": { + "type": "string", + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + } + }, + "type": "object", + "description": "Response from `ListPermissions` containing a paginated list of permissions." + }, + "VoiceConfig": { + "description": "The configuration for the voice to use.", "type": "object", - "description": "Tool to retrieve public web data for grounding, powered by Google.", "properties": { - "dynamicRetrievalConfig": { - "$ref": "#/components/schemas/DynamicRetrievalConfig", - "description": "Specifies the dynamic retrieval configuration for the given source." + "prebuiltVoiceConfig": { + "description": "The configuration for the prebuilt voice to use.", + "$ref": "#/components/schemas/PrebuiltVoiceConfig" } } }, - "PromptFeedback": { - "type": "object", - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", + "ListFileSearchStoresResponse": { "properties": { - "blockReason": { + "nextPageToken": { "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", - "Prompt was blocked due to unknown reasons.", - "Prompt was blocked due to the terms which are included from the terminology blocklist.", - "Prompt was blocked due to prohibited content.", - "Candidates blocked due to unsafe image generation content." - ], - "enum": [ - "BLOCK_REASON_UNSPECIFIED", - "SAFETY", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "IMAGE_SAFETY" - ], - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt." + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." }, - "safetyRatings": { - "description": "Ratings for safety of the prompt. There is at most one rating per category.", + "fileSearchStores": { + "description": "The returned rag_stores.", "items": { - "$ref": "#/components/schemas/SafetyRating" + "$ref": "#/components/schemas/FileSearchStore" }, "type": "array" } + }, + "type": "object", + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`." + }, + "StringList": { + "description": "User provided string values assigned to a single metadata key.", + "type": "object", + "properties": { + "values": { + "items": { + "type": "string" + }, + "type": "array", + "description": "The string values of the metadata to store." + } } }, - "Dataset": { - "description": "Dataset for training or validation.", + "CreateFileResponse": { + "description": "Response for `CreateFile`.", + "type": "object", "properties": { - "examples": { - "description": "Optional. Inline examples with simple input/output text.", - "$ref": "#/components/schemas/TuningExamples" + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" + } + } + }, + "FileData": { + "type": "object", + "properties": { + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", + "type": "string" + }, + "fileUri": { + "description": "Required. URI.", + "type": "string" } }, - "type": "object" + "description": "URI based data." }, - "WebSearch": { + "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", - "description": "Standard web search for grounding and related configurations.", "properties": {} }, - "Document": { - "description": "A `Document` is a collection of `Chunk`s.", + "Image": { + "description": "Chunk from image search.", + "type": "object", "properties": { - "displayName": { - "type": "string", - "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"" - }, - "updateTime": { - "description": "Output only. The Timestamp of when the `Document` was last updated.", - "format": "google-datetime", - "readOnly": true, + "sourceUri": { + "description": "The web page URI for attribution.", "type": "string" }, - "createTime": { - "description": "Output only. The Timestamp of when the `Document` was created.", - "format": "google-datetime", - "readOnly": true, + "imageUri": { + "description": "The image asset URL.", "type": "string" }, - "state": { - "description": "Output only. Current state of the `Document`.", - "readOnly": true, + "title": { "type": "string", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", - "All `Chunks` of the `Document` is processed and available for querying.", - "Some `Chunks` of the `Document` failed processing." - ], - "enum": [ - "STATE_UNSPECIFIED", - "STATE_PENDING", - "STATE_ACTIVE", - "STATE_FAILED" - ] + "description": "The title of the web page that the image is from." }, - "sizeBytes": { - "readOnly": true, - "description": "Output only. The size of raw bytes ingested into the Document.", - "format": "int64", + "domain": { + "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", "type": "string" + } + } + }, + "LogprobsResultCandidate": { + "description": "Candidate for the logprobs token and score.", + "properties": { + "tokenId": { + "type": "integer", + "format": "int32", + "description": "The candidate\u2019s token id value." }, - "name": { - "type": "string", - "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`" - }, - "customMetadata": { - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", - "type": "array" + "token": { + "type": "string", + "description": "The candidate\u2019s token string value." }, - "mimeType": { - "description": "Output only. The mime type of the Document.", - "readOnly": true, - "type": "string" + "logProbability": { + "type": "number", + "format": "float", + "description": "The candidate's log probability." } }, "type": "object" }, - "GroundingAttribution": { + "TuningExamples": { + "properties": { + "examples": { + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", + "type": "array", + "items": { + "$ref": "#/components/schemas/TuningExample" + } + } + }, "type": "object", - "description": "Attribution for a source that contributed to an answer.", + "description": "A set of tuning examples. Can be training or validation data." + }, + "BatchGenerateContentRequest": { + "description": "Request for a `BatchGenerateContent` operation.", "properties": { - "sourceId": { - "description": "Output only. Identifier for the source contributing to this attribution.", - "readOnly": true, - "$ref": "#/components/schemas/AttributionSourceId" - }, - "content": { - "$ref": "#/components/schemas/Content", - "description": "Grounding source content that makes up this attribution." + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/GenerateContentBatch" } - } + }, + "type": "object" }, - "CustomLongRunningOperation": { + "GroundingChunkCustomMetadata": { + "description": "User provided metadata about the GroundingFact.", + "type": "object", "properties": { - "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "numericValue": { + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "type": "number", + "format": "float" + }, + "stringValue": { + "description": "Optional. The string value of the metadata.", "type": "string" }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" + "key": { + "type": "string", + "description": "The key of the metadata." }, - "response": { - "type": "object", - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" + } + } + }, + "VideoMetadata": { + "type": "object", + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "properties": { + "startOffset": { + "type": "string", + "format": "google-duration", + "description": "Optional. The start offset of the video." }, - "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." + "endOffset": { + "description": "Optional. The end offset of the video.", + "type": "string", + "format": "google-duration" }, - "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." - } + "fps": { + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", + "type": "number", + "format": "double" + } + }, + "deprecated": true + }, + "CachedContentUsageMetadata": { + "description": "Metadata on the usage of the cached content.", + "properties": { + "totalTokenCount": { + "description": "Total number of tokens that the cached content consumes.", + "type": "integer", + "format": "int32" } }, "type": "object" }, - "FunctionDeclaration": { + "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", - "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", "properties": { - "name": { + "category": { + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ], + "x-enum-descriptions": [ + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ], "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." - }, - "response": { - "$ref": "#/components/schemas/Schema", - "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." + "description": "Required. The category for this rating.", + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ] }, - "behavior": { - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", + "probability": { "type": "string", "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." + "Probability is unspecified.", + "Content has a negligible chance of being unsafe.", + "Content has a low chance of being unsafe.", + "Content has a medium chance of being unsafe.", + "Content has a high chance of being unsafe." ], + "description": "Required. The probability of harm for this content.", "enum": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" + "HARM_PROBABILITY_UNSPECIFIED", + "NEGLIGIBLE", + "LOW", + "MEDIUM", + "HIGH" ] }, - "description": { - "type": "string", - "description": "Required. A brief description of the function." - }, - "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`." - }, - "parameters": { - "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", - "$ref": "#/components/schemas/Schema" - }, - "responseJsonSchema": { - "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." + "blocked": { + "description": "Was this content blocked because of this rating?", + "type": "boolean" } } }, - "ExecutableCode": { - "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", + "InputEmbedContentConfig": { "properties": { - "id": { - "type": "string", - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`." - }, - "code": { - "description": "Required. The code to be executed.", + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" }, - "language": { - "description": "Required. Programming language of the `code`.", + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" + } + }, + "type": "object", + "description": "Configures the input to the batch request." + }, + "TransferOwnershipRequest": { + "description": "Request to transfer the ownership of the tuned model.", + "properties": { + "emailAddress": { "type": "string", - "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." - ], - "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" - ] + "description": "Required. The email address of the user to whom the tuned model is being transferred to." } }, "type": "object" }, - "UsageMetadata": { - "description": "Metadata on the generation request's token usage.", + "ListDocumentsResponse": { "properties": { - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content)", - "format": "int32", - "type": "integer" - }, - "thoughtsTokenCount": { - "readOnly": true, - "description": "Output only. Number of tokens of thoughts for thinking models.", - "format": "int32", - "type": "integer" - }, - "promptTokenCount": { - "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", - "format": "int32", - "type": "integer" + "nextPageToken": { + "type": "string", + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." }, - "cacheTokensDetails": { - "description": "Output only. List of modalities of the cached content in the request input.", - "readOnly": true, + "documents": { + "description": "The returned `Document`s.", + "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "type": "array" - }, - "toolUsePromptTokensDetails": { + "$ref": "#/components/schemas/Document" + } + } + }, + "type": "object", + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`." + }, + "InlinedEmbedContentResponses": { + "description": "The responses to the requests in the batch.", + "type": "object", + "properties": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch.", "readOnly": true, + "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed for tool-use request inputs.", - "type": "array" - }, - "toolUsePromptTokenCount": { - "type": "integer", + "$ref": "#/components/schemas/InlinedEmbedContentResponse" + } + } + } + }, + "CachedContent": { + "properties": { + "name": { + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "readOnly": true, - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "format": "int32" + "type": "string" }, - "totalTokenCount": { - "description": "Total token count for the generation request (prompt + thoughts + response candidates).", - "format": "int32", - "type": "integer" + "updateTime": { + "description": "Output only. When the cache entry was last updated in UTC time.", + "readOnly": true, + "type": "string", + "format": "google-datetime" }, - "promptTokensDetails": { + "tools": { + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", "type": "array", - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/Tool" } }, - "candidatesTokensDetails": { - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were returned in the response.", - "type": "array" + "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" }, - "candidatesTokenCount": { - "type": "integer", - "description": "Total number of tokens across all the generated response candidates.", - "format": "int32" + "contents": { + "description": "Optional. Input only. Immutable. The content to cache.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + } }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", - "type": "integer", - "format": "int32", + "usageMetadata": { + "description": "Output only. Metadata on the usage of the cached content.", + "$ref": "#/components/schemas/CachedContentUsageMetadata", "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", + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", + "$ref": "#/components/schemas/Content" + }, + "toolConfig": { + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", + "$ref": "#/components/schemas/ToolConfig" + }, + "createTime": { + "description": "Output only. Creation time of the cache entry.", "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - } - }, - "type": "object" - }, - "TuningExample": { - "type": "object", - "description": "A single example for tuning.", - "properties": { - "textInput": { "type": "string", - "description": "Optional. Text model input." + "format": "google-datetime" }, - "output": { - "description": "Required. The expected model output.", + "ttl": { + "description": "Input only. New TTL for this resource, input only.", + "type": "string", + "format": "google-duration" + }, + "displayName": { + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", "type": "string" + }, + "model": { + "type": "string", + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`" } - } + }, + "type": "object", + "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for." }, - "ListTunedModelsResponse": { - "description": "Response from `ListTunedModels` containing a paginated list of Models.", + "TopCandidates": { "properties": { - "tunedModels": { + "candidates": { "items": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/LogprobsResultCandidate" }, - "description": "The returned Models.", - "type": "array" - }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + "type": "array", + "description": "Sorted by log probability in descending order." } }, - "type": "object" + "type": "object", + "description": "Candidates with top log probabilities at each decoding step." }, - "FileSearchStore": { - "description": "A `FileSearchStore` is a collection of `Document`s.", + "InlinedEmbedContentResponse": { + "description": "The response to a single request in the batch.", + "type": "object", "properties": { - "createTime": { - "type": "string", - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", - "format": "google-datetime", - "readOnly": true - }, - "updateTime": { - "readOnly": true, - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", - "format": "google-datetime", - "type": "string" - }, - "sizeBytes": { - "readOnly": true, - "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", - "type": "string" - }, - "failedDocumentsCount": { - "type": "string", - "readOnly": true, - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", - "format": "int64" - }, - "displayName": { - "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", - "type": "string" - }, - "embeddingModel": { - "type": "string", - "description": "Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used." - }, - "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.", + "response": { + "$ref": "#/components/schemas/EmbedContentResponse", "readOnly": true, - "type": "string" + "description": "Output only. The response to the request." }, - "activeDocumentsCount": { - "type": "string", + "metadata": { + "description": "Output only. The metadata associated with the request.", "readOnly": true, - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", - "format": "int64" + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } }, - "pendingDocumentsCount": { - "type": "string", + "error": { + "description": "Output only. The error encountered while processing the request.", "readOnly": true, - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", - "format": "int64" + "$ref": "#/components/schemas/Status" } - }, - "type": "object" + } }, - "Operation": { - "description": "This resource represents a long-running operation that is the result of a network API call.", + "PlaceAnswerSources": { "properties": { - "name": { - "type": "string", - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`." - }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" - }, - "response": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "type": "object" - }, - "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." - }, - "metadata": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." + "reviewSnippets": { + "type": "array", + "items": { + "$ref": "#/components/schemas/ReviewSnippet" }, - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "type": "object" + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps." } }, - "type": "object" + "type": "object", + "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources." }, - "FunctionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "Content": { + "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", + "type": "object", "properties": { - "name": { + "role": { "type": "string", - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128." + "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset." }, - "args": { - "additionalProperties": { - "description": "Properties of the object." + "parts": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Part" }, - "description": "Optional. The function parameters and values in JSON object format.", - "type": "object" - }, - "id": { - "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", - "type": "string" + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types." } - }, - "type": "object" + } }, - "TransferOwnershipResponse": { + "ComputerUse": { + "description": "Computer Use tool type.", "type": "object", - "description": "Response from `TransferOwnership`.", - "properties": {} - }, - "Permission": { - "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", "properties": { - "name": { - "readOnly": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "type": "string" - }, - "granteeType": { - "type": "string", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Represents a user. When set, you must provide email_address for the user.", - "Represents a group. When set, you must provide email_address for the group.", - "Represents access to everyone. No extra information is required." - ], - "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" - ], - "description": "Optional. Immutable. The type of the grantee." - }, - "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." - }, - "role": { - "type": "string", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Owner can use, update, share and delete the resource.", - "Writer can use, update and share the resource.", - "Reader can use the resource." - ], - "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" - ], - "description": "Required. The role granted by this permission." - } - }, - "type": "object" - }, - "SafetyRating": { - "type": "object", - "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", - "properties": { - "probability": { - "type": "string", - "x-enum-descriptions": [ - "Probability is unspecified.", - "Content has a negligible chance of being unsafe.", - "Content has a low chance of being unsafe.", - "Content has a medium chance of being unsafe.", - "Content has a high chance of being unsafe." - ], - "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", - "LOW", - "MEDIUM", - "HIGH" - ], - "description": "Required. The probability of harm for this content." - }, - "blocked": { - "description": "Was this content blocked because of this rating?", - "type": "boolean" - }, - "category": { - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ], - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "description": "Required. The category for this rating.", - "type": "string" - } - } - }, - "BatchStats": { - "description": "Stats about the batch.", - "properties": { - "requestCount": { - "type": "string", - "description": "Output only. The number of requests in the batch.", - "format": "int64", - "readOnly": true - }, - "failedRequestCount": { - "readOnly": true, - "description": "Output only. The number of requests that failed to be processed.", - "format": "int64", - "type": "string" - }, - "pendingRequestCount": { - "description": "Output only. The number of requests that are still pending processing.", - "format": "int64", - "readOnly": true, - "type": "string" - }, - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", - "format": "int64", - "readOnly": true, - "type": "string" - } - }, - "type": "object" - }, - "SafetySetting": { - "type": "object", - "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", - "properties": { - "category": { - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ], - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "description": "Required. The category for this setting.", - "type": "string" - }, - "threshold": { - "description": "Required. Controls the probability threshold at which harm is blocked.", - "type": "string", - "x-enum-descriptions": [ - "Threshold is unspecified.", - "Content with NEGLIGIBLE will be allowed.", - "Content with NEGLIGIBLE and LOW will be allowed.", - "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", - "All content will be allowed.", - "Turn off the safety filter." - ], - "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" - ] - } - } - }, - "GoogleMaps": { - "type": "object", - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", - "properties": { - "enableWidget": { - "type": "boolean", - "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response." - } - } - }, - "Schema": { - "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", - "properties": { - "nullable": { - "type": "boolean", - "description": "Optional. Indicates if the value may be null." - }, - "propertyOrdering": { - "items": { - "type": "string" - }, - "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", - "type": "array" - }, - "maxItems": { - "description": "Optional. Maximum number of the elements for Type.ARRAY.", - "format": "int64", - "type": "string" - }, - "required": { - "type": "array", - "description": "Optional. Required properties of Type.OBJECT.", - "items": { - "type": "string" - } - }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." - }, - "default": { - "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." - }, - "properties": { - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/Schema" - }, - "description": "Optional. Properties of Type.OBJECT." - }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" - }, - "minProperties": { - "description": "Optional. Minimum number of the properties for Type.OBJECT.", - "format": "int64", - "type": "string" - }, - "minLength": { - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", - "format": "int64", - "type": "string" - }, - "type": { - "type": "string", - "x-enum-descriptions": [ - "Not specified, should not be used.", - "String type.", - "Number type.", - "Integer type.", - "Boolean type.", - "Array type.", - "Object type.", - "Null type." - ], - "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" - ], - "description": "Required. Data type." - }, - "title": { - "description": "Optional. The title of the schema.", - "type": "string" - }, - "minItems": { - "description": "Optional. Minimum number of the elements for Type.ARRAY.", - "format": "int64", - "type": "string" - }, - "minimum": { - "type": "number", - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and 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." - }, - "description": { - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", - "type": "string" - }, - "maxProperties": { - "description": "Optional. Maximum number of the properties for Type.OBJECT.", - "format": "int64", - "type": "string" - }, - "maximum": { - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "format": "double", - "type": "number" - }, - "maxLength": { - "description": "Optional. Maximum length of the Type.STRING", - "format": "int64", - "type": "string" - }, - "anyOf": { - "items": { - "$ref": "#/components/schemas/Schema" - }, - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", - "type": "array" - }, - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", - "type": "string" - }, - "enum": { - "type": "array", - "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", - "items": { - "type": "string" - } - } - }, - "type": "object" - }, - "RegisterFilesResponse": { - "type": "object", - "description": "Response for `RegisterFiles`.", - "properties": { - "files": { - "type": "array", - "items": { - "$ref": "#/components/schemas/File" - }, - "description": "The registered files to be used when calling GenerateContent." - } - } - }, - "ComputerUse": { - "description": "Computer Use tool type.", - "properties": { - "environment": { - "description": "Required. The environment being operated.", - "type": "string", - "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser." - ], - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER" - ] - }, - "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." - } - }, - "type": "object" - }, - "Corpus": { - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", - "properties": { - "name": { - "readOnly": true, - "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", - "type": "string" - }, - "createTime": { - "type": "string", - "readOnly": true, - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "format": "google-datetime" - }, - "updateTime": { - "readOnly": true, - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "format": "google-datetime", - "type": "string" + "excludedPredefinedFunctions": { + "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", + "items": { + "type": "string" + }, + "type": "array" }, - "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\"", + "environment": { + "description": "Required. The environment being operated.", + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER" + ], + "x-enum-descriptions": [ + "Defaults to browser.", + "Operates in a web browser." + ], "type": "string" } - }, - "type": "object" + } }, - "GroundingChunkStringList": { - "description": "A list of string values.", + "ListCachedContentsResponse": { "properties": { - "values": { - "type": "array", + "cachedContents": { "items": { - "type": "string" + "$ref": "#/components/schemas/CachedContent" }, - "description": "The string values of the list." + "type": "array", + "description": "List of cached contents." + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", + "type": "string" } }, - "type": "object" - }, - "CachedContentUsageMetadata": { "type": "object", - "description": "Metadata on the usage of the cached content.", - "properties": { - "totalTokenCount": { - "description": "Total number of tokens that the cached content consumes.", - "format": "int32", - "type": "integer" - } - } + "description": "Response with CachedContents list." }, "InputConfig": { - "type": "object", - "description": "Configures the input to the batch request.", "properties": { "fileName": { "type": "string", @@ -4787,1255 +4349,1425 @@ "description": "The requests to be processed in the batch.", "$ref": "#/components/schemas/InlinedRequests" } - } - }, - "AttributionSourceId": { - "description": "Identifier for the source contributing to this attribution.", - "properties": { - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" - }, - "groundingPassage": { - "$ref": "#/components/schemas/GroundingPassageId", - "description": "Identifier for an inline passage." - } - }, - "type": "object" - }, - "SearchTypes": { - "type": "object", - "description": "Different types of search that can be enabled on the GoogleSearch tool.", - "properties": { - "webSearch": { - "$ref": "#/components/schemas/WebSearch", - "description": "Optional. Enables web search. Only text results are returned." - }, - "imageSearch": { - "$ref": "#/components/schemas/ImageSearch", - "description": "Optional. Enables image search. Image bytes are returned." - } - } - }, - "RetrievedContext": { - "description": "Chunk from context retrieved by the file search tool.", - "properties": { - "uri": { - "type": "string", - "description": "Optional. URI reference of the semantic retrieval document." - }, - "text": { - "type": "string", - "description": "Optional. Text of the chunk." - }, - "mediaId": { - "type": "string", - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}" - }, - "title": { - "type": "string", - "description": "Optional. Title of the document." - }, - "customMetadata": { - "type": "array", - "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" - }, - "description": "Optional. User-provided metadata about the retrieved context." - }, - "pageNumber": { - "description": "Optional. Page number of the retrieved context, if applicable.", - "format": "int32", - "type": "integer" - }, - "fileSearchStore": { - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", - "type": "string" - } }, - "type": "object" - }, - "VideoMetadata": { - "type": "object", - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", - "deprecated": true, - "properties": { - "startOffset": { - "description": "Optional. The start offset of the video.", - "format": "google-duration", - "type": "string" - }, - "fps": { - "type": "number", - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", - "format": "double" - }, - "endOffset": { - "type": "string", - "description": "Optional. The end offset of the video.", - "format": "google-duration" - } - } - }, - "ListModelsResponse": { "type": "object", - "description": "Response from `ListModel` containing a paginated list of Models.", - "properties": { - "models": { - "type": "array", - "items": { - "$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": "Configures the input to the batch request." }, - "CountTokensResponse": { - "type": "object", - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "BatchEmbedContentsRequest": { "properties": { - "promptTokensDetails": { - "type": "array", - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "cacheTokensDetails": { - "readOnly": true, + "requests": { + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/EmbedContentRequest" }, - "description": "Output only. List of modalities that were processed in the cached content.", "type": "array" - }, - "totalTokens": { - "type": "integer", - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", - "format": "int32" - }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content).", - "format": "int32", - "type": "integer" - } - } - }, - "UploadToFileSearchStoreRequest": { - "description": "Request for `UploadToFileSearchStore`.", - "properties": { - "chunkingConfig": { - "$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." - }, - "displayName": { - "description": "Optional. Display name of the created document.", - "type": "string" - }, - "customMetadata": { - "type": "array", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the data." - }, - "mimeType": { - "type": "string", - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content." } }, - "type": "object" - }, - "ThinkingConfig": { "type": "object", - "description": "Config for thinking features.", - "properties": { - "thinkingBudget": { - "description": "The number of thoughts tokens that the model should generate.", - "format": "int32", - "type": "integer" - }, - "thinkingLevel": { - "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", - "type": "string", - "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" - ] - }, - "includeThoughts": { - "type": "boolean", - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available." - } - } + "description": "Batch request to get embeddings from the model for a list of prompts." }, - "GenerationConfig": { + "TunedModel": { + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", "type": "object", - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "properties": { - "frequencyPenalty": { + "temperature": { + "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", "type": "number", - "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" }, - "topP": { - "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "format": "float", - "type": "number" - }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" - }, - "imageConfig": { - "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", - "$ref": "#/components/schemas/ImageConfig" - }, - "presencePenalty": { - "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", - "format": "float", - "type": "number" - }, - "maxOutputTokens": { - "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", - "format": "int32", - "type": "integer" - }, - "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." - }, - "seed": { - "type": "integer", - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", - "format": "int32" - }, - "responseSchema": { - "$ref": "#/components/schemas/Schema", - "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details." - }, - "logprobs": { - "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", - "format": "int32", - "type": "integer" + "tuningTask": { + "description": "Required. The tuning task that creates the tuned model.", + "$ref": "#/components/schemas/TuningTask" }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + "updateTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when this model was updated." }, - "candidateCount": { - "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", - "format": "int32", - "type": "integer" + "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" + }, + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" }, "topK": { "type": "integer", - "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "format": "int32" + "format": "int32", + "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model." }, - "stopSequences": { - "type": "array", - "items": { - "type": "string" - }, - "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." + "baseModel": { + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "type": "string" }, - "responseLogprobs": { - "description": "Optional. If true, export the logprobs results in response.", - "type": "boolean" + "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." + ], + "readOnly": true, + "type": "string", + "description": "Output only. The state of the tuned model.", + "enum": [ + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ] }, - "responseModalities": { + "description": { + "description": "Optional. A short description of this model.", + "type": "string" + }, + "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" + }, + "readerProjectNumbers": { "type": "array", "items": { "type": "string", - "x-enum-descriptions": [ - "Default value.", - "Indicates the model should return text.", - "Indicates the model should return images.", - "Indicates the model should return audio.", - "Indicates the model should return video." - ], - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "AUDIO", - "VIDEO" - ] + "format": "int64" }, - "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": "Optional. List of project numbers that have read access to the tuned model." }, - "thinkingConfig": { - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", - "$ref": "#/components/schemas/ThinkingConfig" + "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" }, - "mediaResolution": { + "createTime": { + "readOnly": true, "type": "string", - "x-enum-descriptions": [ - "Media resolution has not been set.", - "Media resolution set to low (64 tokens).", - "Media resolution set to medium (256 tokens).", - "Media resolution set to high (zoomed reframing with 256 tokens)." - ], - "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ], - "description": "Optional. If specified, the media resolution specified will be used." - }, - "speechConfig": { - "$ref": "#/components/schemas/SpeechConfig", - "description": "Optional. The speech generation config." - }, - "temperature": { - "type": "number", - "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", - "format": "float" + "format": "google-datetime", + "description": "Output only. The timestamp when this model was created." } } }, - "RetrievalMetadata": { - "type": "object", - "description": "Metadata related to retrieval in the grounding flow.", + "AsyncBatchEmbedContentRequest": { + "description": "Request for an `AsyncBatchEmbedContent` operation.", "properties": { - "googleSearchDynamicRetrievalScore": { - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", - "format": "float", - "type": "number" + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/EmbedContentBatch" } - } + }, + "type": "object" }, - "Blob": { - "type": "object", - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", + "ExecutableCode": { "properties": { - "mimeType": { + "language": { + "x-enum-descriptions": [ + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." + ], "type": "string", - "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //" + "description": "Required. Programming language of the `code`.", + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ] }, - "data": { + "code": { + "description": "Required. The code to be executed.", + "type": "string" + }, + "id": { "type": "string", - "description": "Raw bytes for media formats.", - "format": "byte" + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`." } - } + }, + "type": "object", + "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated." }, - "Candidate": { - "description": "A response candidate generated from the model.", + "SemanticRetrieverChunk": { + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", "properties": { - "index": { - "type": "integer", - "description": "Output only. Index of the candidate in the list of response candidates.", - "format": "int32", - "readOnly": true - }, - "tokenCount": { - "type": "integer", - "description": "Output only. Token count for this candidate.", - "format": "int32", - "readOnly": true - }, - "groundingMetadata": { - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "source": { + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", "readOnly": true, - "$ref": "#/components/schemas/GroundingMetadata" - }, - "finishMessage": { - "type": "string", - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", - "readOnly": true + "type": "string" }, - "urlContextMetadata": { + "chunk": { + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", "readOnly": true, - "$ref": "#/components/schemas/UrlContextMetadata", - "description": "Output only. Metadata related to url context retrieval tool." - }, - "safetyRatings": { - "type": "array", - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", + "type": "string" + } + }, + "type": "object" + }, + "TransferOwnershipResponse": { + "type": "object", + "properties": {}, + "description": "Response from `TransferOwnership`." + }, + "CountTokensResponse": { + "properties": { + "promptTokensDetails": { "items": { - "$ref": "#/components/schemas/SafetyRating" - } - }, - "groundingAttributions": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "readOnly": true, "type": "array", - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", + "description": "Output only. List of modalities that were processed in the request input." + }, + "cacheTokensDetails": { + "description": "Output only. List of modalities that were processed in the cached content.", "readOnly": true, + "type": "array", "items": { - "$ref": "#/components/schemas/GroundingAttribution" + "$ref": "#/components/schemas/ModalityTokenCount" } }, - "avgLogprobs": { - "type": "number", - "description": "Output only. Average log probability score of the candidate.", - "format": "double", - "readOnly": true - }, - "content": { - "readOnly": true, - "$ref": "#/components/schemas/Content", - "description": "Output only. Generated content returned from the model." - }, - "finishReason": { - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Natural stop point of the model or provided stop sequence.", - "The maximum number of tokens as specified in the request was reached.", - "The response candidate content was flagged for safety reasons.", - "The response candidate content was flagged for recitation reasons.", - "The response candidate content was flagged for using an unsupported language.", - "Unknown reason.", - "Token generation stopped because the content contains forbidden terms.", - "Token generation stopped for potentially containing prohibited content.", - "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", - "The function call generated by the model is invalid.", - "Token generation stopped because generated images contain safety violations.", - "Image generation stopped because generated images has other prohibited content.", - "Image generation stopped because of other miscellaneous issue.", - "The model was expected to generate an image, but none was generated.", - "Image generation stopped due to recitation.", - "Model generated a tool call but no tools were enabled in the request.", - "Model called too many tools consecutively, thus the system exited execution.", - "Request has at least one thought signature missing.", - "Finished due to malformed response." - ], - "enum": [ - "FINISH_REASON_UNSPECIFIED", - "STOP", - "MAX_TOKENS", - "SAFETY", - "RECITATION", - "LANGUAGE", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "SPII", - "MALFORMED_FUNCTION_CALL", - "IMAGE_SAFETY", - "IMAGE_PROHIBITED_CONTENT", - "IMAGE_OTHER", - "NO_IMAGE", - "IMAGE_RECITATION", - "UNEXPECTED_TOOL_CALL", - "TOO_MANY_TOOL_CALLS", - "MISSING_THOUGHT_SIGNATURE", - "MALFORMED_RESPONSE" - ], - "type": "string", - "readOnly": true, - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens." - }, - "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" + "totalTokens": { + "type": "integer", + "format": "int32", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative." }, - "logprobsResult": { - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", - "readOnly": true, - "$ref": "#/components/schemas/LogprobsResult" + "cachedContentTokenCount": { + "description": "Number of tokens in the cached part of the prompt (the cached content).", + "type": "integer", + "format": "int32" } }, - "type": "object" + "type": "object", + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`." }, - "ListPermissionsResponse": { - "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "InlinedEmbedContentRequest": { + "type": "object", "properties": { - "permissions": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Permission" + "metadata": { + "additionalProperties": { + "description": "Properties of the object." }, - "description": "Returned permissions." + "type": "object", + "description": "Optional. The metadata to be associated with the request." }, - "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" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/EmbedContentRequest" } }, - "type": "object" + "description": "The request to be processed in the batch." }, - "LogprobsResultCandidate": { - "description": "Candidate for the logprobs token and score.", + "Operation": { + "description": "This resource represents a long-running operation that is the result of a network API call.", "properties": { - "logProbability": { - "description": "The candidate's log probability.", - "format": "float", - "type": "number" - }, - "token": { - "description": "The candidate\u2019s token string value.", + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", "type": "string" }, - "tokenId": { - "type": "integer", - "description": "The candidate\u2019s token id value.", - "format": "int32" + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" + }, + "metadata": { + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "response": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "type": "object", + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`." + }, + "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" } }, "type": "object" }, - "Tool": { - "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", + "ListOperationsResponse": { + "type": "object", "properties": { - "codeExecution": { - "$ref": "#/components/schemas/CodeExecution", - "description": "Optional. Enables the model to execute code as part of generation." - }, - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" - }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" - }, - "googleMaps": { - "$ref": "#/components/schemas/GoogleMaps", - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query." - }, - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" + "operations": { + "description": "A list of operations that matches the specified filter in the request.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Operation" + } }, - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" + "nextPageToken": { + "description": "The standard List next-page token.", + "type": "string" }, - "mcpServers": { + "unreachable": { + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", + "type": "array", "items": { - "$ref": "#/components/schemas/McpServer" - }, - "description": "Optional. MCP Servers to connect to.", - "type": "array" - }, - "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": "string" + } + } + }, + "description": "The response message for Operations.ListOperations." + }, + "FileSearch": { + "properties": { + "fileSearchStoreNames": { "items": { - "$ref": "#/components/schemas/FunctionDeclaration" + "type": "string" }, - "type": "array" + "type": "array", + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`" }, - "urlContext": { - "$ref": "#/components/schemas/UrlContext", - "description": "Optional. Tool to support URL context retrieval." + "topK": { + "type": "integer", + "format": "int32", + "description": "Optional. The number of semantic retrieval chunks to retrieve." + }, + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "type": "string" } }, - "type": "object" + "type": "object", + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API." }, - "ReviewSnippet": { + "ImageSearch": { + "type": "object", + "properties": {}, + "description": "Image search for grounding and related configurations." + }, + "UrlContext": { + "properties": {}, + "type": "object", + "description": "Tool to support URL context retrieval." + }, + "Status": { + "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", "type": "object", - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", "properties": { - "reviewId": { - "type": "string", - "description": "The ID of the review snippet." + "code": { + "type": "integer", + "format": "int32", + "description": "The status code, which should be an enum value of google.rpc.Code." }, - "title": { + "message": { "type": "string", - "description": "Title of the review." + "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." }, - "googleMapsUri": { - "type": "string", - "description": "A link that corresponds to the user review on Google Maps." + "details": { + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", + "items": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "type": "array" } } }, - "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.", + "ThinkingConfig": { + "description": "Config for thinking features.", "properties": { - "name": { - "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." - }, - "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." + "thinkingBudget": { + "description": "The number of thoughts tokens that the model should generate.", + "type": "integer", + "format": "int32" }, - "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" + "thinkingLevel": { + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", + "enum": [ + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" + ], + "type": "string", + "x-enum-descriptions": [ + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." + ] }, - "willContinue": { + "includeThoughts": { "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`." - }, - "parts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available." + } + }, + "type": "object" + }, + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", + "properties": { + "urlMetadata": { "type": "array", - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", "items": { - "$ref": "#/components/schemas/FunctionResponsePart" - } - }, - "scheduling": { - "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", - "type": "string", - "x-enum-descriptions": [ - "This value is unused.", - "Only add the result to the conversation context, do not interrupt or trigger generation.", - "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", - "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." - ], - "enum": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" - ] + "$ref": "#/components/schemas/UrlMetadata" + }, + "description": "List of url context." } }, "type": "object" }, - "Part": { - "type": "object", - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "Model": { + "description": "Information about a Generative Language Model.", "properties": { - "toolResponse": { - "$ref": "#/components/schemas/ToolResponse", - "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`." - }, - "thoughtSignature": { - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", - "format": "byte", - "type": "string" + "version": { + "type": "string", + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)" }, - "text": { - "description": "Inline text.", - "type": "string" + "topP": { + "type": "number", + "format": "float", + "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model." }, - "thought": { - "type": "boolean", - "description": "Optional. Indicates if the part is thought from the model." + "topK": { + "type": "integer", + "format": "int32", + "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter." }, - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "type": "string" }, - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" + "temperature": { + "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", + "type": "number", + "format": "float" }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" + "maxTemperature": { + "description": "The maximum temperature this model can use.", + "type": "number", + "format": "float" }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" + "thinking": { + "description": "Whether the model supports thinking.", + "type": "boolean" }, - "functionResponse": { - "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", - "$ref": "#/components/schemas/FunctionResponse" + "supportedGenerationMethods": { + "items": { + "type": "string" + }, + "type": "array", + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`." }, - "codeExecutionResult": { - "$ref": "#/components/schemas/CodeExecutionResult", - "description": "Result of executing the `ExecutableCode`." + "outputTokenLimit": { + "type": "integer", + "format": "int32", + "description": "Maximum number of output tokens available for this model." }, - "toolCall": { - "$ref": "#/components/schemas/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." + "displayName": { + "type": "string", + "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters." }, - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" + "inputTokenLimit": { + "type": "integer", + "format": "int32", + "description": "Maximum number of input tokens allowed for this model." }, - "partMetadata": { - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" + "description": { + "type": "string", + "description": "A short description of the model." }, - "fileData": { - "$ref": "#/components/schemas/FileData", - "description": "URI based data." + "name": { + "type": "string", + "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": "object" }, - "ToolResponse": { + "WebSearch": { + "description": "Standard web search for grounding and related configurations.", + "type": "object", + "properties": {} + }, + "InlinedResponse": { "type": "object", - "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", "properties": { "response": { + "$ref": "#/components/schemas/GenerateContentResponse", + "readOnly": true, + "description": "Output only. The response to the request." + }, + "metadata": { + "readOnly": true, "type": "object", "additionalProperties": { "description": "Properties of the object." }, - "description": "Optional. The tool response." - }, - "id": { - "description": "Optional. The identifier of the tool call this response is for.", - "type": "string" + "description": "Output only. The metadata associated with the request." }, - "toolType": { - "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", - "type": "string", - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ], - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ] + "error": { + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status", + "readOnly": true } - } + }, + "description": "The response to a single request in the batch." }, - "InlinedEmbedContentResponse": { + "CountTokensRequest": { + "properties": { + "contents": { + "items": { + "$ref": "#/components/schemas/Content" + }, + "type": "array", + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set." + }, + "generateContentRequest": { + "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", + "$ref": "#/components/schemas/GenerateContentRequest" + } + }, "type": "object", - "description": "The response to a single request in the batch.", + "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`." + }, + "GoogleAiGenerativelanguageV1betaSegment": { + "description": "Segment of the content.", "properties": { - "error": { - "description": "Output only. The error encountered while processing the request.", - "readOnly": true, - "$ref": "#/components/schemas/Status" + "partIndex": { + "type": "integer", + "format": "int32", + "description": "The index of a Part object within its parent Content object." }, - "response": { - "description": "Output only. The response to the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentResponse" + "text": { + "type": "string", + "description": "The text corresponding to the segment from the response." }, - "metadata": { - "type": "object", - "description": "Output only. The metadata associated with the request.", - "readOnly": true, - "additionalProperties": { - "description": "Properties of the object." - } + "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" } - } + }, + "type": "object" }, "RegisterFilesRequest": { "description": "Request for `RegisterFiles`.", "properties": { "uris": { - "type": "array", "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", "items": { "type": "string" - } + }, + "type": "array" } }, "type": "object" }, - "ImageSearch": { + "GeneratedFile": { + "properties": { + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "type": "string" + }, + "state": { + "readOnly": true, + "type": "string", + "description": "Output only. The state of the GeneratedFile.", + "enum": [ + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" + ], + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Being generated.", + "Generated and is ready for download.", + "Failed to generate the GeneratedFile." + ] + }, + "error": { + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "$ref": "#/components/schemas/Status" + }, + "mimeType": { + "description": "MIME type of the generatedFile.", + "type": "string" + } + }, "type": "object", - "description": "Image search for grounding and related configurations.", - "properties": {} + "description": "A file generated on behalf of a user." }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { - "type": "object", - "description": "Grounding support.", + "Tool": { "properties": { - "segment": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment", - "description": "Segment of the content this support belongs to." - }, - "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).", + "functionDeclarations": { + "type": "array", "items": { - "format": "int32", - "type": "integer" + "$ref": "#/components/schemas/FunctionDeclaration" }, - "type": "array" + "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn." }, - "confidenceScores": { + "googleSearchRetrieval": { + "description": "Optional. Retrieval tool that is powered by Google search.", + "$ref": "#/components/schemas/GoogleSearchRetrieval" + }, + "googleSearch": { + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "$ref": "#/components/schemas/GoogleSearch" + }, + "googleMaps": { + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", + "$ref": "#/components/schemas/GoogleMaps" + }, + "computerUse": { + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", + "$ref": "#/components/schemas/ComputerUse" + }, + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" + }, + "codeExecution": { + "description": "Optional. Enables the model to execute code as part of generation.", + "$ref": "#/components/schemas/CodeExecution" + }, + "fileSearch": { + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", + "$ref": "#/components/schemas/FileSearch" + }, + "mcpServers": { "type": "array", "items": { - "format": "float", - "type": "number" + "$ref": "#/components/schemas/McpServer" }, - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices." + "description": "Optional. MCP Servers to connect to." + } + }, + "type": "object", + "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16" + }, + "SpeechConfig": { + "description": "Config for speech generation and transcription.", + "properties": { + "multiSpeakerVoiceConfig": { + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" + }, + "languageCode": { + "type": "string", + "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`." + }, + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" + } + }, + "type": "object" + }, + "GenerateContentBatch": { + "type": "object", + "properties": { + "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", + "description": "Output only. The state of the batch.", + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ] + }, + "endTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch processing completed." }, - "renderedParts": { - "type": "array", + "name": { "readOnly": true, - "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." - } - } - }, - "Web": { - "type": "object", - "description": "Chunk from the web.", - "properties": { - "title": { "type": "string", - "description": "Output only. Title of the chunk.", - "readOnly": true + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." }, - "uri": { - "description": "Output only. URI reference of the chunk.", + "updateTime": { "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated." + }, + "displayName": { + "description": "Required. The user-defined name of this batch.", "type": "string" - } - } - }, - "Empty": { - "type": "object", - "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", - "properties": {} - }, - "InlinedResponse": { - "type": "object", - "description": "The response to a single request in the batch.", - "properties": { - "metadata": { - "description": "Output only. The metadata associated with the request.", + }, + "batchStats": { + "$ref": "#/components/schemas/BatchStats", "readOnly": true, - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" + "description": "Output only. Stats about the batch." }, - "error": { - "description": "Output only. The error encountered while processing the request.", + "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.", + "$ref": "#/components/schemas/InputConfig" + }, + "output": { + "description": "Output only. The output of the batch request.", "readOnly": true, - "$ref": "#/components/schemas/Status" + "$ref": "#/components/schemas/GenerateContentBatchOutput" }, - "response": { + "priority": { + "type": "string", + "format": "int64", + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0." + }, + "createTime": { "readOnly": true, - "$ref": "#/components/schemas/GenerateContentResponse", - "description": "Output only. The response to the request." + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch was created." } - } + }, + "description": "A resource representing a batch of `GenerateContent` requests." }, - "InlinedEmbedContentRequest": { - "type": "object", - "description": "The request to be processed in the batch.", + "Part": { "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" }, - "metadata": { - "type": "object", + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" + }, + "functionResponse": { + "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", + "$ref": "#/components/schemas/FunctionResponse" + }, + "partMetadata": { "additionalProperties": { "description": "Properties of the object." }, - "description": "Optional. The metadata to be associated with the request." + "type": "object", + "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams." + }, + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" + }, + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" + }, + "toolCall": { + "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", + "$ref": "#/components/schemas/ToolCall" + }, + "executableCode": { + "description": "Code generated by the model that is meant to be executed.", + "$ref": "#/components/schemas/ExecutableCode" + }, + "toolResponse": { + "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", + "$ref": "#/components/schemas/ToolResponse" + }, + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" + }, + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" + }, + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" + }, + "thoughtSignature": { + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "type": "string", + "format": "byte" + }, + "text": { + "description": "Inline text.", + "type": "string" } - } + }, + "type": "object", + "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes." }, - "McpServer": { - "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", + "FileSearchStore": { + "description": "A `FileSearchStore` is a collection of `Document`s.", "properties": { - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" + "updateTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "readOnly": true, + "type": "string", + "format": "google-datetime" }, "name": { + "readOnly": true, + "type": "string", + "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated." + }, + "pendingDocumentsCount": { + "readOnly": true, + "type": "string", + "format": "int64", + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed." + }, + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "createTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "activeDocumentsCount": { + "readOnly": true, + "type": "string", + "format": "int64", + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval." + }, + "embeddingModel": { + "type": "string", + "description": "Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used." + }, + "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" + }, + "failedDocumentsCount": { + "readOnly": true, "type": "string", - "description": "The name of the MCPServer." + "format": "int64", + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing." } }, "type": "object" }, - "ModalityTokenCount": { - "description": "Represents token counting info for a single modality.", + "Document": { + "type": "object", "properties": { - "tokenCount": { - "type": "integer", - "description": "Number of tokens.", - "format": "int32" + "name": { + "type": "string", + "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`" }, - "modality": { - "description": "The modality associated with this token count.", + "updateTime": { + "description": "Output only. The Timestamp of when the `Document` was last updated.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "customMetadata": { + "items": { + "$ref": "#/components/schemas/CustomMetadata" + }, + "type": "array", + "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`." + }, + "createTime": { + "description": "Output only. The Timestamp of when the `Document` was created.", + "readOnly": true, "type": "string", + "format": "google-datetime" + }, + "displayName": { + "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", + "type": "string" + }, + "state": { "x-enum-descriptions": [ - "Unspecified modality.", - "Plain text.", - "Image.", - "Video.", - "Audio.", - "Document, e.g. PDF." + "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." ], + "description": "Output only. Current state of the `Document`.", "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ] + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" + ], + "readOnly": true, + "type": "string" + }, + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the Document.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "mimeType": { + "description": "Output only. The mime type of the Document.", + "readOnly": true, + "type": "string" } }, - "type": "object" + "description": "A `Document` is a collection of `Chunk`s." }, - "CodeExecutionResult": { - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", + "ToolCall": { "properties": { - "outcome": { - "description": "Required. Outcome of the code execution.", - "type": "string", - "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." + "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", + "description": "Required. The type of tool that was called.", "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" ] }, - "output": { - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", - "type": "string" + "args": { + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object", + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}" }, "id": { "type": "string", - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id." + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`." + } + }, + "type": "object", + "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`." + }, + "RetrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "properties": { + "googleSearchDynamicRetrievalScore": { + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", + "type": "number", + "format": "float" } }, "type": "object" }, - "GoogleSearch": { - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "SpeakerVoiceConfig": { + "type": "object", "properties": { - "timeRangeFilter": { - "$ref": "#/components/schemas/Interval", - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa)." + "speaker": { + "type": "string", + "description": "Required. The name of the speaker to use. Should be the same as in the prompt." }, - "searchTypes": { - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", - "$ref": "#/components/schemas/SearchTypes" + "voiceConfig": { + "description": "Required. The configuration for the voice to use.", + "$ref": "#/components/schemas/VoiceConfig" } }, - "type": "object" + "description": "The configuration for a single speaker in a multi speaker setup." }, - "ListCachedContentsResponse": { + "FunctionResponseBlob": { + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", "type": "object", - "description": "Response with CachedContents list.", "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", "type": "string" }, - "cachedContents": { - "description": "List of cached contents.", + "data": { + "description": "Raw bytes for media formats.", + "type": "string", + "format": "byte" + } + } + }, + "LogprobsResult": { + "properties": { + "logProbabilitySum": { + "description": "Sum of log probabilities for all tokens.", + "type": "number", + "format": "float" + }, + "topCandidates": { + "type": "array", "items": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/TopCandidates" }, - "type": "array" + "description": "Length = total number of decoding steps." + }, + "chosenCandidates": { + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + }, + "type": "array", + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates." } - } + }, + "type": "object", + "description": "Logprobs Result" }, - "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`.", + "StreamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "type": "object", "properties": { - "args": { - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", + "sseReadTimeout": { + "type": "string", + "format": "google-duration", + "description": "Timeout for SSE read operations." + }, + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" + }, + "headers": { + "type": "object", "additionalProperties": { - "description": "Properties of the object." + "type": "string" }, - "type": "object" + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed." }, - "id": { - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", "type": "string" }, - "toolType": { + "timeout": { + "description": "HTTP timeout for regular operations.", "type": "string", - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ], - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ], - "description": "Required. The type of tool that was called." + "format": "google-duration" } - }, - "type": "object" + } }, - "BatchGenerateContentRequest": { + "FunctionDeclaration": { + "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", "type": "object", - "description": "Request for a `BatchGenerateContent` operation.", "properties": { - "batch": { - "$ref": "#/components/schemas/GenerateContentBatch", - "description": "Required. The batch to create." + "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.", + "$ref": "#/components/schemas/Schema" + }, + "parametersJsonSchema": { + "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." + }, + "name": { + "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", + "type": "string" + }, + "behavior": { + "x-enum-descriptions": [ + "This value is unused.", + "If set, the system will wait to receive the function response before continuing the conversation.", + "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." + ], + "type": "string", + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", + "enum": [ + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" + ] + }, + "description": { + "description": "Required. A brief description of the function.", + "type": "string" + }, + "response": { + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", + "$ref": "#/components/schemas/Schema" + }, + "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`." } } }, - "ListDocumentsResponse": { + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", "type": "object", - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", "properties": { - "documents": { + "speakerVoiceConfigs": { + "description": "Required. All the enabled speaker voices.", + "type": "array", "items": { - "$ref": "#/components/schemas/Document" - }, - "description": "The returned `Document`s.", - "type": "array" - }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "$ref": "#/components/schemas/SpeakerVoiceConfig" + } } } }, - "UrlContextMetadata": { - "description": "Metadata related to url context retrieval tool.", + "BatchEmbedContentsResponse": { "properties": { - "urlMetadata": { - "type": "array", + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "readOnly": true + }, + "embeddings": { + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", "items": { - "$ref": "#/components/schemas/UrlMetadata" + "$ref": "#/components/schemas/ContentEmbedding" }, - "description": "List of url context." + "readOnly": true, + "type": "array" } }, - "type": "object" + "type": "object", + "description": "The response to a `BatchEmbedContentsRequest`." }, - "InlinedResponses": { + "ImportFileRequest": { "type": "object", - "description": "The responses to the requests in the batch.", "properties": { - "inlinedResponses": { - "readOnly": true, + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" + }, + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "type": "string" + }, + "customMetadata": { "items": { - "$ref": "#/components/schemas/InlinedResponse" + "$ref": "#/components/schemas/CustomMetadata" }, - "description": "Output only. The responses to the requests in the batch.", - "type": "array" + "type": "array", + "description": "Custom metadata to be associated with the file." } - } + }, + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`." }, - "WhiteSpaceConfig": { + "DynamicRetrievalConfig": { + "description": "Describes the options to customize dynamic retrieval.", "type": "object", - "description": "Configuration for a white space chunking algorithm [white space delimited].", "properties": { - "maxOverlapTokens": { - "type": "integer", - "description": "Maximum number of overlapping tokens between two adjacent chunks.", - "format": "int32" + "mode": { + "description": "The mode of the predictor to be used in dynamic retrieval.", + "enum": [ + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" + ], + "type": "string", + "x-enum-descriptions": [ + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." + ] }, - "maxTokensPerChunk": { - "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", - "format": "int32", - "type": "integer" + "dynamicThreshold": { + "type": "number", + "format": "float", + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used." } } }, - "ImageConfig": { - "description": "Config for image generation features.", + "RetrievalConfig": { + "description": "Retrieval config.", "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." + "latLng": { + "description": "Optional. The location of the user.", + "$ref": "#/components/schemas/LatLng" }, - "imageSize": { + "languageCode": { "type": "string", - "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`." + "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)." } }, "type": "object" }, - "CreateFileRequest": { - "type": "object", - "description": "Request for `CreateFile`.", - "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" - } - } - }, - "GeneratedFile": { + "Permission": { + "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", "type": "object", - "description": "A file generated on behalf of a user.", "properties": { - "mimeType": { - "type": "string", - "description": "MIME type of the generatedFile." - }, - "state": { + "role": { "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." + "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." ], + "type": "string", + "description": "Required. The role granted by this permission.", "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" + ] + }, + "granteeType": { + "description": "Optional. Immutable. The type of the grantee.", + "enum": [ + "GRANTEE_TYPE_UNSPECIFIED", + "USER", + "GROUP", + "EVERYONE" ], - "description": "Output only. The state of the GeneratedFile.", - "readOnly": true, - "type": "string" + "type": "string", + "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." + ] }, - "error": { - "$ref": "#/components/schemas/Status", - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state." + "emailAddress": { + "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE.", + "type": "string" }, "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", - "type": "string" + "readOnly": true, + "type": "string", + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only." } } }, - "FileData": { - "description": "URI based data.", + "PromptFeedback": { + "type": "object", "properties": { - "mimeType": { - "type": "string", - "description": "Optional. The IANA standard MIME type of the source data." + "blockReason": { + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "enum": [ + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ], + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", + "Prompt was blocked due to unknown reasons.", + "Prompt was blocked due to the terms which are included from the terminology blocklist.", + "Prompt was blocked due to prohibited content.", + "Candidates blocked due to unsafe image generation content." + ], + "type": "string" }, - "fileUri": { - "type": "string", - "description": "Required. URI." + "safetyRatings": { + "description": "Ratings for safety of the prompt. There is at most one rating per category.", + "items": { + "$ref": "#/components/schemas/SafetyRating" + }, + "type": "array" } }, - "type": "object" + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`." }, - "Image": { + "GenerationConfig": { "type": "object", - "description": "Chunk from image search.", "properties": { - "title": { + "presencePenalty": { + "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", + "type": "number", + "format": "float" + }, + "seed": { + "type": "integer", + "format": "int32", + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed." + }, + "speechConfig": { + "description": "Optional. The speech generation config.", + "$ref": "#/components/schemas/SpeechConfig" + }, + "frequencyPenalty": { + "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", + "type": "number", + "format": "float" + }, + "mediaResolution": { + "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)." + ], "type": "string", - "description": "The title of the web page that the image is from." + "description": "Optional. If specified, the media resolution specified will be used.", + "enum": [ + "MEDIA_RESOLUTION_UNSPECIFIED", + "MEDIA_RESOLUTION_LOW", + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" + ] }, - "sourceUri": { - "description": "The web page URI for attribution.", + "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" }, - "imageUri": { - "type": "string", - "description": "The image asset URL." + "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" }, - "domain": { - "type": "string", - "description": "The root domain of the web page that the image is from, e.g. \"example.com\"." + "enableEnhancedCivicAnswers": { + "type": "boolean", + "description": "Optional. Enables enhanced civic answers. It may not be available for all models." + }, + "candidateCount": { + "type": "integer", + "format": "int32", + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)" + }, + "temperature": { + "type": "number", + "format": "float", + "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]." + }, + "responseSchema": { + "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", + "$ref": "#/components/schemas/Schema" + }, + "responseModalities": { + "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", + "items": { + "type": "string", + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ], + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "VIDEO" + ] + }, + "type": "array" + }, + "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." + }, + "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" + }, + "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." + }, + "stopSequences": { + "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", + "items": { + "type": "string" + }, + "type": "array" + }, + "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." + }, + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + }, + "thinkingConfig": { + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", + "$ref": "#/components/schemas/ThinkingConfig" + }, + "responseLogprobs": { + "type": "boolean", + "description": "Optional. If true, export the logprobs results in response." } - } + }, + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model." }, - "GroundingPassageId": { - "description": "Identifier for a part within a `GroundingPassage`.", + "SearchEntryPoint": { + "type": "object", "properties": { - "passageId": { - "readOnly": true, - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", - "type": "string" + "sdkBlob": { + "type": "string", + "format": "byte", + "description": "Optional. Base64 encoded JSON representing array of tuple." }, - "partIndex": { - "type": "integer", - "readOnly": true, - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", - "format": "int32" + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", + "type": "string" } }, - "type": "object" + "description": "Google search entry point." }, - "CreateFileResponse": { + "InlinedRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "type": "object", - "description": "Response for `CreateFile`.", "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" + "requests": { + "description": "Required. The requests to be processed in the batch.", + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedRequest" + } } } }, - "GoogleAiGenerativelanguageV1betaSegment": { - "description": "Segment of the content.", + "GenerateContentResponse": { + "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", "properties": { - "text": { - "type": "string", - "description": "The text corresponding to the segment from the response." + "candidates": { + "description": "Candidate responses from the model.", + "items": { + "$ref": "#/components/schemas/Candidate" + }, + "type": "array" }, - "endIndex": { - "type": "integer", - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", - "format": "int32" + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" + }, + "modelVersion": { + "readOnly": true, + "type": "string", + "description": "Output only. The model version used to generate the response." }, - "partIndex": { - "description": "The index of a Part object within its parent Content object.", - "format": "int32", - "type": "integer" + "usageMetadata": { + "$ref": "#/components/schemas/UsageMetadata", + "readOnly": true, + "description": "Output only. Metadata on the generation requests' token usage." }, - "startIndex": { - "type": "integer", - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", - "format": "int32" - } - }, - "type": "object" - }, - "AsyncBatchEmbedContentRequest": { - "description": "Request for an `AsyncBatchEmbedContent` operation.", - "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" + "responseId": { + "readOnly": true, + "type": "string", + "description": "Output only. response_id is used to identify each response." + }, + "modelStatus": { + "description": "Output only. The current model status of this model.", + "$ref": "#/components/schemas/ModelStatus", + "readOnly": true } }, "type": "object" }, "ModelStatus": { - "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", + "type": "object", "properties": { - "retirementTime": { - "type": "string", - "description": "The time at which the model will be retired.", - "format": "google-datetime" - }, "modelStage": { - "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." - ], + "description": "The stage of the underlying model.", "enum": [ "MODEL_STAGE_UNSPECIFIED", "UNSTABLE_EXPERIMENTAL", @@ -6046,6 +5778,17 @@ "DEPRECATED", "RETIRED" ], + "type": "string", + "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, @@ -6055,410 +5798,478 @@ false, true, false - ], - "type": "string", - "description": "The stage of the underlying model." + ] }, "message": { "description": "A message explaining the model status.", "type": "string" + }, + "retirementTime": { + "type": "string", + "format": "google-datetime", + "description": "The time at which the model will be retired." + } + }, + "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable." + }, + "CitationMetadata": { + "description": "A collection of source attributions for a piece of content.", + "properties": { + "citationSources": { + "description": "Citations to sources for a specific response.", + "items": { + "$ref": "#/components/schemas/CitationSource" + }, + "type": "array" } }, "type": "object" }, - "CitationSource": { + "Maps": { "type": "object", - "description": "A citation to a source for a portion of a specific response.", "properties": { - "endIndex": { - "type": "integer", - "description": "Optional. End of the attributed segment, exclusive.", - "format": "int32" + "text": { + "description": "Text description of the place answer.", + "type": "string" }, - "license": { + "placeId": { "type": "string", - "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations." - }, - "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" + "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place." }, "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", - "type": "string" - } - } - }, - "ListOperationsResponse": { - "description": "The response message for Operations.ListOperations.", - "properties": { - "operations": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Operation" - }, - "description": "A list of operations that matches the specified filter in the request." + "type": "string", + "description": "URI reference of the place." }, - "nextPageToken": { - "description": "The standard List next-page token.", + "title": { + "description": "Title of the place.", "type": "string" }, - "unreachable": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations." + "placeAnswerSources": { + "description": "Sources that provide answers about the features of a given place in Google Maps.", + "$ref": "#/components/schemas/PlaceAnswerSources" } }, - "type": "object" + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place." }, - "PlaceAnswerSources": { + "ListFilesResponse": { + "description": "Response for `ListFiles`.", "type": "object", - "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", "properties": { - "reviewSnippets": { + "nextPageToken": { + "type": "string", + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call." + }, + "files": { + "description": "The list of `File`s.", + "type": "array", "items": { - "$ref": "#/components/schemas/ReviewSnippet" - }, - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", - "type": "array" + "$ref": "#/components/schemas/File" + } } } }, - "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).", + "GroundingMetadata": { + "type": "object", "properties": { - "code": { - "description": "The status code, which should be an enum value of google.rpc.Code.", - "format": "int32", - "type": "integer" + "googleMapsWidgetContextToken": { + "type": "string", + "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled." }, - "message": { - "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", - "type": "string" + "searchEntryPoint": { + "description": "Optional. Google search entry for the following-up web searches.", + "$ref": "#/components/schemas/SearchEntryPoint" }, - "details": { - "type": "array", + "groundingSupports": { "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" }, - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use." - } - }, - "type": "object" - }, - "TuningTask": { - "description": "Tuning tasks that create tuned models.", - "properties": { - "startTime": { - "type": "string", - "description": "Output only. The timestamp when tuning this model started.", - "format": "google-datetime", - "readOnly": true - }, - "snapshots": { "type": "array", - "description": "Output only. Metrics collected during tuning.", - "readOnly": true, + "description": "List of grounding support." + }, + "imageSearchQueries": { + "description": "Image search queries used for grounding.", "items": { - "$ref": "#/components/schemas/TuningSnapshot" - } + "type": "string" + }, + "type": "array" }, - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" + "retrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "$ref": "#/components/schemas/RetrievalMetadata" }, - "completeTime": { - "readOnly": true, - "description": "Output only. The timestamp when tuning this model completed.", - "format": "google-datetime", - "type": "string" + "groundingChunks": { + "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", + "items": { + "$ref": "#/components/schemas/GroundingChunk" + }, + "type": "array" }, - "hyperparameters": { - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", - "$ref": "#/components/schemas/Hyperparameters" + "webSearchQueries": { + "items": { + "type": "string" + }, + "type": "array", + "description": "Web search queries for the following-up web search." } }, - "type": "object" + "description": "Metadata returned to client when grounding is enabled." }, - "Hyperparameters": { + "GroundingChunkStringList": { + "description": "A list of string values.", "type": "object", - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", "properties": { - "learningRate": { - "type": "number", - "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" + "values": { + "items": { + "type": "string" + }, + "type": "array", + "description": "The string values of the list." + } + } + }, + "EmbedContentConfig": { + "description": "Configurations for the EmbedContent request.", + "properties": { + "outputDimensionality": { + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", + "type": "integer", + "format": "int32" }, - "learningRateMultiplier": { - "type": "number", - "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.", - "format": "float" + "audioTrackExtraction": { + "description": "Optional. Whether to extract audio from video content.", + "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" + "title": { + "type": "string", + "description": "Optional. The title for the text." + }, + "taskType": { + "description": "Optional. The task type of the embedding.", + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ], + "type": "string", + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ] }, - "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" - } - } - }, - "ContentEmbedding": { - "type": "object", - "description": "A list of floats representing an embedding.", - "properties": { - "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." + "autoTruncate": { + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", + "type": "boolean" }, - "shape": { - "type": "array", - "items": { - "type": "integer", - "format": "int32" - }, - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048])." + "documentOcr": { + "type": "boolean", + "description": "Optional. Whether to enable OCR for document content." } - } + }, + "type": "object" }, - "CachedContent": { + "Candidate": { + "description": "A response candidate generated from the model.", "type": "object", - "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for.", "properties": { - "tools": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" - }, - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response" + "avgLogprobs": { + "description": "Output only. Average log probability score of the candidate.", + "readOnly": true, + "type": "number", + "format": "double" }, - "ttl": { - "type": "string", - "description": "Input only. New TTL for this resource, input only.", - "format": "google-duration" + "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" }, - "createTime": { - "type": "string", - "description": "Output only. Creation time of the cache entry.", - "format": "google-datetime", + "citationMetadata": { + "$ref": "#/components/schemas/CitationMetadata", + "readOnly": true, + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data." + }, + "groundingMetadata": { + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "$ref": "#/components/schemas/GroundingMetadata", "readOnly": true }, - "updateTime": { - "description": "Output only. When the cache entry was last updated in UTC time.", - "format": "google-datetime", + "tokenCount": { "readOnly": true, - "type": "string" + "type": "integer", + "format": "int32", + "description": "Output only. Token count for this candidate." }, - "model": { - "type": "string", - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`" + "urlContextMetadata": { + "description": "Output only. Metadata related to url context retrieval tool.", + "readOnly": true, + "$ref": "#/components/schemas/UrlContextMetadata" }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" + "index": { + "description": "Output only. Index of the candidate in the list of response candidates.", + "readOnly": true, + "type": "integer", + "format": "int32" }, - "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" + "finishReason": { + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", + "enum": [ + "FINISH_REASON_UNSPECIFIED", + "STOP", + "MAX_TOKENS", + "SAFETY", + "RECITATION", + "LANGUAGE", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "SPII", + "MALFORMED_FUNCTION_CALL", + "IMAGE_SAFETY", + "IMAGE_PROHIBITED_CONTENT", + "IMAGE_OTHER", + "NO_IMAGE", + "IMAGE_RECITATION", + "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", + "MISSING_THOUGHT_SIGNATURE", + "MALFORMED_RESPONSE" + ], + "readOnly": true, + "type": "string", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Natural stop point of the model or provided stop sequence.", + "The maximum number of tokens as specified in the request was reached.", + "The response candidate content was flagged for safety reasons.", + "The response candidate content was flagged for recitation reasons.", + "The response candidate content was flagged for using an unsupported language.", + "Unknown reason.", + "Token generation stopped because the content contains forbidden terms.", + "Token generation stopped for potentially containing prohibited content.", + "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", + "The function call generated by the model is invalid.", + "Token generation stopped because generated images contain safety violations.", + "Image generation stopped because generated images has other prohibited content.", + "Image generation stopped because of other miscellaneous issue.", + "The model was expected to generate an image, but none was generated.", + "Image generation stopped due to recitation.", + "Model generated a tool call but no tools were enabled in the request.", + "Model called too many tools consecutively, thus the system exited execution.", + "Request has at least one thought signature missing.", + "Finished due to malformed response." + ] }, - "expireTime": { - "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", - "format": "google-datetime", - "type": "string" + "logprobsResult": { + "readOnly": true, + "$ref": "#/components/schemas/LogprobsResult", + "description": "Output only. Log-likelihood scores for the response tokens and top tokens" }, - "displayName": { - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", - "type": "string" + "content": { + "description": "Output only. Generated content returned from the model.", + "$ref": "#/components/schemas/Content", + "readOnly": true }, - "contents": { - "description": "Optional. Input only. Immutable. The content to cache.", + "safetyRatings": { + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", "items": { - "$ref": "#/components/schemas/Content" + "$ref": "#/components/schemas/SafetyRating" }, "type": "array" }, - "name": { - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "readOnly": true, - "type": "string" - }, - "usageMetadata": { - "description": "Output only. Metadata on the usage of the cached content.", + "groundingAttributions": { "readOnly": true, - "$ref": "#/components/schemas/CachedContentUsageMetadata" - } - } - }, - "VideoFileMetadata": { - "description": "Metadata for a video `File`.", - "properties": { - "videoDuration": { - "type": "string", - "description": "Duration of the video.", - "format": "google-duration" - } - }, - "type": "object" - }, - "ImportFileRequest": { - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", - "properties": { - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", - "type": "string" - }, - "chunkingConfig": { - "$ref": "#/components/schemas/ChunkingConfig", - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters." - }, - "customMetadata": { - "description": "Custom metadata to be associated with the file.", + "type": "array", "items": { - "$ref": "#/components/schemas/CustomMetadata" + "$ref": "#/components/schemas/GroundingAttribution" }, - "type": "array" + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls." } - }, - "type": "object" + } }, - "GenerateContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", + "McpServer": { + "type": "object", "properties": { - "responsesFile": { - "readOnly": true, - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "name": { + "description": "The name of the MCPServer.", "type": "string" }, - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "readOnly": true, - "$ref": "#/components/schemas/InlinedResponses" + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" } }, - "type": "object" + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6" }, - "DynamicRetrievalConfig": { - "description": "Describes the options to customize dynamic retrieval.", + "ImageConfig": { + "description": "Config for image generation features.", "properties": { - "mode": { - "description": "The mode of the predictor to be used in dynamic retrieval.", + "aspectRatio": { "type": "string", - "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." - ], - "enum": [ - "MODE_UNSPECIFIED", - "MODE_DYNAMIC" - ] + "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." }, - "dynamicThreshold": { - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "format": "float", - "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`." } }, "type": "object" }, - "EmbedContentBatchStats": { - "type": "object", + "BatchStats": { "description": "Stats about the batch.", + "type": "object", "properties": { - "pendingRequestCount": { + "requestCount": { "readOnly": true, - "description": "Output only. The number of requests that are still pending processing.", + "type": "string", "format": "int64", - "type": "string" + "description": "Output only. The number of requests in the batch." }, "successfulRequestCount": { + "readOnly": true, "type": "string", - "description": "Output only. The number of requests that were successfully processed.", "format": "int64", - "readOnly": true + "description": "Output only. The number of requests that were successfully processed." }, - "requestCount": { + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", "readOnly": true, - "description": "Output only. The number of requests in the batch.", - "format": "int64", + "type": "string", + "format": "int64" + }, + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", + "readOnly": true, + "type": "string", + "format": "int64" + } + } + }, + "Corpus": { + "properties": { + "createTime": { + "description": "Output only. The Timestamp of when the `Corpus` was created.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "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" + }, + "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" }, - "failedRequestCount": { + "updateTime": { "readOnly": true, - "description": "Output only. The number of requests that failed to be processed.", - "format": "int64", - "type": "string" + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Corpus` was last updated." } - } + }, + "type": "object", + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora." }, - "ListFilesResponse": { + "CustomMetadata": { + "description": "User provided metadata stored as key-value pairs.", "type": "object", - "description": "Response for `ListFiles`.", "properties": { - "files": { - "type": "array", - "items": { - "$ref": "#/components/schemas/File" - }, - "description": "The list of `File`s." + "numericValue": { + "type": "number", + "format": "float", + "description": "The numeric value of the metadata to store." }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "stringValue": { + "description": "The string value of the metadata to store.", + "type": "string" + }, + "key": { + "description": "Required. The key of the metadata to store.", "type": "string" + }, + "stringListValue": { + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" } } }, - "UrlContext": { - "description": "Tool to support URL context retrieval.", - "properties": {}, - "type": "object" - }, - "MultiSpeakerVoiceConfig": { - "description": "The configuration for the multi-speaker setup.", + "Interval": { + "type": "object", "properties": { - "speakerVoiceConfigs": { - "type": "array", - "description": "Required. All the enabled speaker voices.", - "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" - } + "endTime": { + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", + "type": "string", + "format": "google-datetime" + }, + "startTime": { + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", + "type": "string", + "format": "google-datetime" } }, - "type": "object" + "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." }, - "EmbedContentRequest": { - "type": "object", - "description": "Request containing the `Content` for the model to embed.", + "Web": { "properties": { - "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}`", + "uri": { + "description": "Output only. URI reference of the chunk.", + "readOnly": true, "type": "string" }, "title": { - "deprecated": true, + "readOnly": 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." + "description": "Output only. Title of the chunk." + } + }, + "type": "object", + "description": "Chunk from the web." + }, + "EmbedContentRequest": { + "description": "Request containing the `Content` for the model to embed.", + "type": "object", + "properties": { + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" }, "embedContentConfig": { - "$ref": "#/components/schemas/EmbedContentConfig", - "description": "Optional. Configuration for the EmbedContent request." + "description": "Optional. Configuration for the EmbedContent request.", + "$ref": "#/components/schemas/EmbedContentConfig" + }, + "outputDimensionality": { + "type": "integer", + "format": "int32", + "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", + "deprecated": true }, "taskType": { "type": "string", "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", - "deprecated": true, + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ], "x-enum-descriptions": [ "Unset value, which will default to one of the other enum values.", "Specifies the given text is a query in a search/retrieval setting.", @@ -6470,204 +6281,393 @@ "Specifies that the given text will be used for fact verification.", "Specifies that the given text will be used for code retrieval." ], - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ] + "deprecated": true }, - "outputDimensionality": { - "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", - "format": "int32", - "deprecated": true, - "type": "integer" + "title": { + "type": "string", + "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", + "deprecated": true }, - "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}`" } } }, "EmbedContentBatch": { "description": "A resource representing a batch of `EmbedContent` requests.", + "type": "object", "properties": { + "displayName": { + "type": "string", + "description": "Required. The user-defined name of this batch." + }, "batchStats": { "description": "Output only. Stats about the batch.", "readOnly": true, "$ref": "#/components/schemas/EmbedContentBatchStats" }, - "displayName": { - "type": "string", - "description": "Required. The user-defined name of this batch." + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" }, - "name": { - "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "readOnly": true + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" }, "output": { "readOnly": true, "$ref": "#/components/schemas/EmbedContentBatchOutput", "description": "Output only. The output of the batch request." }, - "model": { + "priority": { "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." + "format": "int64", + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0." }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" + "createTime": { + "description": "Output only. The time at which the batch was created.", + "readOnly": true, + "type": "string", + "format": "google-datetime" }, - "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.", + "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", + "description": "Output only. The state of the batch.", + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ] + }, + "endTime": { + "description": "Output only. The time at which the batch processing completed.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "name": { + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "readOnly": true, + "type": "string" + }, + "updateTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated." + } + } + }, + "FunctionResponsePart": { + "properties": { + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/FunctionResponseBlob" + } + }, + "type": "object", + "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes." + }, + "RegisterFilesResponse": { + "description": "Response for `RegisterFiles`.", + "type": "object", + "properties": { + "files": { + "description": "The registered files to be used when calling GenerateContent.", + "type": "array", + "items": { + "$ref": "#/components/schemas/File" + } + } + } + }, + "TunedModelSource": { + "type": "object", + "properties": { + "tunedModel": { + "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", + "type": "string" + }, + "baseModel": { + "readOnly": true, + "type": "string", + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`" + } + }, + "description": "Tuned model as a source for training a new model." + }, + "CustomLongRunningOperation": { + "type": "object", + "properties": { + "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." + }, + "response": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`." + }, + "metadata": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "type": "object", + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any." + }, + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" + }, + "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" + } + } + }, + "EmbedContentBatchStats": { + "description": "Stats about the batch.", + "type": "object", + "properties": { + "pendingRequestCount": { + "readOnly": true, + "type": "string", "format": "int64", - "type": "string" + "description": "Output only. The number of requests that are still pending processing." }, - "createTime": { - "description": "Output only. The time at which the batch was created.", - "format": "google-datetime", + "requestCount": { + "description": "Output only. The number of requests in the batch.", "readOnly": true, - "type": "string" - }, - "endTime": { "type": "string", - "readOnly": true, - "description": "Output only. The time at which the batch processing completed.", - "format": "google-datetime" + "format": "int64" }, - "updateTime": { + "successfulRequestCount": { "readOnly": true, - "description": "Output only. The time at which the batch was last updated.", - "format": "google-datetime", - "type": "string" + "type": "string", + "format": "int64", + "description": "Output only. The number of requests that were successfully processed." }, - "state": { + "failedRequestCount": { "readOnly": true, - "description": "Output only. The state of the batch.", "type": "string", - "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ], - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ] - } - }, - "type": "object" - }, - "CitationMetadata": { - "type": "object", - "description": "A collection of source attributions for a piece of content.", - "properties": { - "citationSources": { - "type": "array", - "items": { - "$ref": "#/components/schemas/CitationSource" - }, - "description": "Citations to sources for a specific response." + "format": "int64", + "description": "Output only. The number of requests that failed to be processed." } } }, - "VoiceConfig": { + "VideoFileMetadata": { "type": "object", - "description": "The configuration for the voice to use.", "properties": { - "prebuiltVoiceConfig": { - "$ref": "#/components/schemas/PrebuiltVoiceConfig", - "description": "The configuration for the prebuilt voice to use." + "videoDuration": { + "description": "Duration of the video.", + "type": "string", + "format": "google-duration" } - } + }, + "description": "Metadata for a video `File`." }, - "LogprobsResult": { + "GenerateContentRequest": { "type": "object", - "description": "Logprobs Result", "properties": { - "logProbabilitySum": { - "type": "number", - "description": "Sum of log probabilities for all tokens.", - "format": "float" - }, - "topCandidates": { - "description": "Length = total number of decoding steps.", + "safetySettings": { + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", "items": { - "$ref": "#/components/schemas/TopCandidates" + "$ref": "#/components/schemas/SafetySetting" }, "type": "array" }, - "chosenCandidates": { - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - }, - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", - "type": "array" - } - } - }, - "StreamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", - "properties": { - "timeout": { - "description": "HTTP timeout for regular operations.", - "format": "google-duration", + "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" }, - "terminateOnClose": { - "description": "Whether to close the client session when the transport closes.", - "type": "boolean" + "model": { + "type": "string", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." }, - "url": { + "serviceTier": { + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ], "type": "string", - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"" + "description": "Optional. The service tier of the request.", + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ] }, - "headers": { - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "additionalProperties": { - "type": "string" + "toolConfig": { + "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", + "$ref": "#/components/schemas/ToolConfig" + }, + "store": { + "type": "boolean", + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config." + }, + "tools": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Tool" }, - "type": "object" + "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." }, - "sseReadTimeout": { + "contents": { + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + } + }, + "systemInstruction": { + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", + "$ref": "#/components/schemas/Content" + }, + "generationConfig": { + "description": "Optional. Configuration options for model generation and outputs.", + "$ref": "#/components/schemas/GenerationConfig" + } + }, + "description": "Request to generate a completion from the model." + }, + "SafetySetting": { + "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", + "properties": { + "threshold": { + "description": "Required. Controls the probability threshold at which harm is blocked.", + "enum": [ + "HARM_BLOCK_THRESHOLD_UNSPECIFIED", + "BLOCK_LOW_AND_ABOVE", + "BLOCK_MEDIUM_AND_ABOVE", + "BLOCK_ONLY_HIGH", + "BLOCK_NONE", + "OFF" + ], "type": "string", - "description": "Timeout for SSE read operations.", - "format": "google-duration" + "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": { + "x-enum-descriptions": [ + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ], + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ], + "type": "string", + "description": "Required. The category for this setting.", + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ] } }, "type": "object" }, - "InlinedRequest": { - "description": "The request to be processed in the batch.", + "EmbedContentResponse": { "properties": { - "metadata": { - "type": "object", - "description": "Optional. The metadata to be associated with the request.", - "additionalProperties": { - "description": "Properties of the object." - } + "embedding": { + "description": "Output only. The embedding generated from the input content.", + "readOnly": true, + "$ref": "#/components/schemas/ContentEmbedding" }, - "request": { - "$ref": "#/components/schemas/GenerateContentRequest", - "description": "Required. The request to be processed in the batch." + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbeddingUsageMetadata" } }, - "type": "object" + "type": "object", + "description": "The response to an `EmbedContentRequest`." + }, + "FunctionCallingConfig": { + "properties": { + "mode": { + "type": "string", + "x-enum-descriptions": [ + "Unspecified function calling mode. This value should not be used.", + "Default model behavior, model decides to predict either a function call or a natural language response.", + "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", + "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", + "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." + ], + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", + "enum": [ + "MODE_UNSPECIFIED", + "AUTO", + "ANY", + "NONE", + "VALIDATED" + ] + }, + "allowedFunctionNames": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names." + } + }, + "type": "object", + "description": "Configuration for specifying function calling behavior." } } }