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 ef423b5..b42dbd1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -397,6 +397,15 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// /// + /// + /// Configures the input to the batch request. + /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Stats about the batch. /// @@ -406,38 +415,29 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Required. The user-defined name of this batch. - /// - /// - /// Configures the input to the batch request. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + string? displayName = default, + string? model = default, global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? priority = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, - string? model = default, - string? displayName = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { + InputConfig = inputConfig, + DisplayName = displayName, + Model = model, BatchStats = batchStats, Priority = priority, Output = output, - Model = model, - DisplayName = displayName, - InputConfig = inputConfig, }; return await BatchesUpdateEmbedContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 9771dbd..84cd817 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -397,12 +397,6 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// - /// - /// Required. The user-defined name of this batch. - /// - /// - /// Configures the input to the batch request. - /// /// /// Stats about the batch. /// @@ -412,6 +406,12 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// + /// + /// Configures the input to the batch request. + /// + /// + /// Required. The user-defined name of this batch. + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// @@ -421,22 +421,22 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? displayName = default, - global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.BatchStats? batchStats = default, string? priority = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, + global::Google.Gemini.InputConfig? inputConfig = 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.GenerateContentBatch { - DisplayName = displayName, - InputConfig = inputConfig, BatchStats = batchStats, Priority = priority, Output = output, + InputConfig = inputConfig, + DisplayName = displayName, Model = model, }; 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 f216689..04a9e1b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs @@ -380,30 +380,30 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Creates CachedContent resource. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. The content to cache. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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}` - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// Input only. New TTL for this resource, input only. - /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// @@ -411,28 +411,28 @@ partial void ProcessCachedContentsCreateResponseContent( /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CachedContentsCreateAsync( - string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::System.Collections.Generic.IList? contents = default, + string? model = default, + string? displayName = default, global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, string? expireTime = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? ttl = default, global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - DisplayName = displayName, + UsageMetadata = usageMetadata, Contents = contents, + Model = model, + DisplayName = displayName, SystemInstruction = systemInstruction, + Ttl = ttl, ExpireTime = expireTime, - Model = model, ToolConfig = toolConfig, - UsageMetadata = usageMetadata, - Ttl = ttl, Tools = tools, }; 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 e677f2b..4283349 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs @@ -397,30 +397,30 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. The content to cache. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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}` - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// Input only. New TTL for this resource, input only. - /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// @@ -430,28 +430,28 @@ partial void ProcessCachedContentsPatchResponseContent( public async global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::System.Collections.Generic.IList? contents = default, + string? model = default, + string? displayName = default, global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, string? expireTime = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? ttl = default, global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - DisplayName = displayName, + UsageMetadata = usageMetadata, Contents = contents, + Model = model, + DisplayName = displayName, SystemInstruction = systemInstruction, + Ttl = ttl, ExpireTime = expireTime, - Model = model, ToolConfig = toolConfig, - UsageMetadata = usageMetadata, - Ttl = ttl, Tools = tools, }; 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 ad3509b..f120ffd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs @@ -387,12 +387,12 @@ partial void ProcessCorporaPermissionsCreateResponseContent( /// Create a permission to a specific resource. /// /// - /// - /// Required. The role granted by this 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. + /// /// /// Optional. Immutable. The type of the grantee. /// @@ -401,16 +401,16 @@ partial void ProcessCorporaPermissionsCreateResponseContent( /// public async global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - Role = role, EmailAddress = emailAddress, + Role = role, GranteeType = granteeType, }; 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 e571be4..d957afe 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs @@ -404,12 +404,12 @@ partial void ProcessCorporaPermissionsPatchResponseContent( /// /// /// - /// - /// Required. The role granted by this 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. + /// /// /// Optional. Immutable. The type of the grantee. /// @@ -420,16 +420,16 @@ partial void ProcessCorporaPermissionsPatchResponseContent( string permissionsId, string corporaId, string? updateMask = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - Role = role, EmailAddress = emailAddress, + Role = role, GranteeType = granteeType, }; 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 2afb7f2..1601ff3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessDynamicGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - Model = model, ToolConfig = toolConfig, - Store = store, SystemInstruction = systemInstruction, - Contents = contents, - SafetySettings = safetySettings, CachedContent = cachedContent, + Model = model, GenerationConfig = generationConfig, ServiceTier = serviceTier, + Contents = contents, + Tools = tools, + SafetySettings = safetySettings, + Store = store, }; return await DynamicGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs index 26cd59f..e2b29df 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - Model = model, ToolConfig = toolConfig, - Store = store, SystemInstruction = systemInstruction, - Contents = contents, - SafetySettings = safetySettings, CachedContent = cachedContent, + Model = model, GenerationConfig = generationConfig, ServiceTier = serviceTier, + Contents = contents, + Tools = tools, + SafetySettings = safetySettings, + Store = store, }; return await DynamicStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs index 2e7b9a8..cbb0bff 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -360,66 +360,66 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - Model = model, ToolConfig = toolConfig, - Store = store, SystemInstruction = systemInstruction, - Contents = contents, - SafetySettings = safetySettings, CachedContent = cachedContent, + Model = model, GenerationConfig = generationConfig, ServiceTier = serviceTier, + Contents = contents, + Tools = tools, + SafetySettings = safetySettings, + Store = store, }; var __enumerable = DynamicStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs index e30d395..ae56273 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs @@ -387,12 +387,12 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Custom metadata to be associated with the file. - /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// + /// + /// Custom metadata to be associated with the file. + /// /// /// Required. The name of the `File` to import. Example: `files/abc-123` /// @@ -401,16 +401,16 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// public async global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + global::System.Collections.Generic.IList? customMetadata = default, string? fileName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.ImportFileRequest { - CustomMetadata = customMetadata, ChunkingConfig = chunkingConfig, + CustomMetadata = customMetadata, FileName = fileName, }; 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 550aa64..53faacd 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 @@ -393,12 +393,12 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// - /// - /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. - /// /// /// Custom metadata to be associated with the data. /// + /// + /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -406,8 +406,8 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( string fileSearchStoresId, string? displayName = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, - string? mimeType = default, global::System.Collections.Generic.IList? customMetadata = default, + string? mimeType = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { @@ -415,8 +415,8 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( { DisplayName = displayName, ChunkingConfig = chunkingConfig, - MimeType = mimeType, CustomMetadata = customMetadata, + MimeType = mimeType, }; 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 4d5d014..3e57eba 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 @@ -387,17 +387,17 @@ partial void ProcessModelsEmbedContentResponseContent( /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Optional. 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. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). - /// /// /// 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. + /// + /// Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). /// /// /// Optional. 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. @@ -407,20 +407,20 @@ partial void ProcessModelsEmbedContentResponseContent( /// public async global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, + global::Google.Gemini.Content? content = default, int? outputDimensionality = default, - global::Google.Gemini.EmbedContentRequestTaskType? taskType = default, string? model = default, - global::Google.Gemini.Content? content = default, + global::Google.Gemini.EmbedContentRequestTaskType? taskType = default, string? title = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentRequest { + Content = content, OutputDimensionality = outputDimensionality, - TaskType = taskType, Model = model, - Content = content, + TaskType = taskType, Title = title, }; 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 a1e2925..a5c41de 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - Model = model, ToolConfig = toolConfig, - Store = store, SystemInstruction = systemInstruction, - Contents = contents, - SafetySettings = safetySettings, CachedContent = cachedContent, + Model = model, GenerationConfig = generationConfig, ServiceTier = serviceTier, + Contents = contents, + Tools = tools, + SafetySettings = safetySettings, + Store = store, }; return await ModelsGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs index cd94a86..d4be814 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - Model = model, ToolConfig = toolConfig, - Store = store, SystemInstruction = systemInstruction, - Contents = contents, - SafetySettings = safetySettings, CachedContent = cachedContent, + Model = model, GenerationConfig = generationConfig, ServiceTier = serviceTier, + Contents = contents, + Tools = tools, + SafetySettings = safetySettings, + Store = store, }; return await ModelsStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs index ab2aecc..87cea9f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -360,66 +360,66 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - Model = model, ToolConfig = toolConfig, - Store = store, SystemInstruction = systemInstruction, - Contents = contents, - SafetySettings = safetySettings, CachedContent = cachedContent, + Model = model, GenerationConfig = generationConfig, ServiceTier = serviceTier, + Contents = contents, + Tools = tools, + SafetySettings = safetySettings, + Store = store, }; var __enumerable = ModelsStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs index f8cc44f..f10e2f7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs @@ -390,61 +390,61 @@ partial void ProcessTunedModelsCreateResponseContent( /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. A short description of this model. /// /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. A short description of this model. - /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// 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. /// /// /// Tuned model as a source for training a new model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - float? temperature = default, - global::Google.Gemini.TuningTask? tuningTask = default, + string? baseModel = default, + string? description = default, float? topP = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? displayName = default, - string? description = default, - int? topK = default, + float? temperature = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - string? baseModel = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + int? topK = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - Temperature = temperature, - TuningTask = tuningTask, + BaseModel = baseModel, + Description = description, TopP = topP, - ReaderProjectNumbers = readerProjectNumbers, + TuningTask = tuningTask, DisplayName = displayName, - Description = description, - TopK = topK, + Temperature = temperature, TunedModelSource = tunedModelSource, - BaseModel = baseModel, + ReaderProjectNumbers = readerProjectNumbers, + TopK = topK, }; return await TunedModelsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs index e84727d..0aea569 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - Model = model, ToolConfig = toolConfig, - Store = store, SystemInstruction = systemInstruction, - Contents = contents, - SafetySettings = safetySettings, CachedContent = cachedContent, + Model = model, GenerationConfig = generationConfig, ServiceTier = serviceTier, + Contents = contents, + Tools = tools, + SafetySettings = safetySettings, + Store = store, }; return await TunedModelsGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs index ab1e55f..1acb131 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs @@ -397,32 +397,32 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. A short description of this model. /// /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. A short description of this model. - /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// 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. /// /// /// Tuned model as a source for training a new model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -430,29 +430,29 @@ partial void ProcessTunedModelsPatchResponseContent( public async global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - float? temperature = default, - global::Google.Gemini.TuningTask? tuningTask = default, + string? baseModel = default, + string? description = default, float? topP = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? displayName = default, - string? description = default, - int? topK = default, + float? temperature = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - string? baseModel = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + int? topK = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - Temperature = temperature, - TuningTask = tuningTask, + BaseModel = baseModel, + Description = description, TopP = topP, - ReaderProjectNumbers = readerProjectNumbers, + TuningTask = tuningTask, DisplayName = displayName, - Description = description, - TopK = topK, + Temperature = temperature, TunedModelSource = tunedModelSource, - BaseModel = baseModel, + ReaderProjectNumbers = readerProjectNumbers, + TopK = topK, }; return await TunedModelsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs index b2243b1..5c8a059 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs @@ -387,12 +387,12 @@ partial void ProcessTunedModelsPermissionsCreateResponseContent( /// Create a permission to a specific resource. /// /// - /// - /// Required. The role granted by this 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. + /// /// /// Optional. Immutable. The type of the grantee. /// @@ -401,16 +401,16 @@ partial void ProcessTunedModelsPermissionsCreateResponseContent( /// public async global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - Role = role, EmailAddress = emailAddress, + Role = role, GranteeType = granteeType, }; 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 f521db1..e530596 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs @@ -404,12 +404,12 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( /// /// /// - /// - /// Required. The role granted by this 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. + /// /// /// Optional. Immutable. The type of the grantee. /// @@ -420,16 +420,16 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( string tunedModelsId, string permissionsId, string? updateMask = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - Role = role, EmailAddress = emailAddress, + Role = role, GranteeType = granteeType, }; 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 6ae7a47..a6430dd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - Model = model, ToolConfig = toolConfig, - Store = store, SystemInstruction = systemInstruction, - Contents = contents, - SafetySettings = safetySettings, CachedContent = cachedContent, + Model = model, GenerationConfig = generationConfig, ServiceTier = serviceTier, + Contents = contents, + Tools = tools, + SafetySettings = safetySettings, + Store = store, }; return await TunedModelsStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index bba3a47..c32bb37 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -360,66 +360,66 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Tools = tools, - Model = model, ToolConfig = toolConfig, - Store = store, SystemInstruction = systemInstruction, - Contents = contents, - SafetySettings = safetySettings, CachedContent = cachedContent, + Model = model, GenerationConfig = generationConfig, ServiceTier = serviceTier, + Contents = contents, + Tools = tools, + SafetySettings = safetySettings, + Store = store, }; var __enumerable = TunedModelsStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs index 1daa01b..cfe2ae4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -25,6 +25,15 @@ public partial interface IGeminiClient /// /// /// + /// + /// Configures the input to the batch request. + /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Stats about the batch. /// @@ -34,27 +43,18 @@ public partial interface IGeminiClient /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Required. The user-defined name of this batch. - /// - /// - /// Configures the input to the batch request. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + string? displayName = default, + string? model = default, global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? priority = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, - string? model = default, - string? displayName = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 402734a..74e7353 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -25,12 +25,6 @@ public partial interface IGeminiClient /// /// /// - /// - /// Required. The user-defined name of this batch. - /// - /// - /// Configures the input to the batch request. - /// /// /// Stats about the batch. /// @@ -40,6 +34,12 @@ public partial interface IGeminiClient /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// + /// + /// Configures the input to the batch request. + /// + /// + /// Required. The user-defined name of this batch. + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// @@ -49,11 +49,11 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? displayName = default, - global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.BatchStats? batchStats = default, string? priority = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, + global::Google.Gemini.InputConfig? inputConfig = 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.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs index 6722ef0..d44c8dd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs @@ -19,30 +19,30 @@ public partial interface IGeminiClient /// /// Creates CachedContent resource. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. The content to cache. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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}` - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// Input only. New TTL for this resource, input only. - /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// @@ -50,14 +50,14 @@ public partial interface IGeminiClient /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CachedContentsCreateAsync( - string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::System.Collections.Generic.IList? contents = default, + string? model = default, + string? displayName = default, global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, string? expireTime = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? ttl = default, global::System.Collections.Generic.IList? tools = 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 32e0e17..31b10f0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs @@ -25,30 +25,30 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. The content to cache. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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}` - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// Input only. New TTL for this resource, input only. - /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// @@ -58,14 +58,14 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::System.Collections.Generic.IList? contents = default, + string? model = default, + string? displayName = default, global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, string? expireTime = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? ttl = default, global::System.Collections.Generic.IList? tools = 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 02a815e..0edd5e1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs @@ -22,12 +22,12 @@ public partial interface IGeminiClient /// Create a permission to a specific resource. /// /// - /// - /// Required. The role granted by this 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. + /// /// /// Optional. Immutable. The type of the grantee. /// @@ -36,8 +36,8 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = 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 e3f7595..0d5f13e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs @@ -28,12 +28,12 @@ public partial interface IGeminiClient /// /// /// - /// - /// Required. The role granted by this 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. + /// /// /// Optional. Immutable. The type of the grantee. /// @@ -44,8 +44,8 @@ public partial interface IGeminiClient string permissionsId, string corporaId, string? updateMask = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = 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 45ca367..eb8530f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs index a36707e..da2933c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs index 1de0566..ac9567a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs index 5a2b2d7..e142b14 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs @@ -22,12 +22,12 @@ public partial interface IGeminiClient /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Custom metadata to be associated with the file. - /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// + /// + /// Custom metadata to be associated with the file. + /// /// /// Required. The name of the `File` to import. Example: `files/abc-123` /// @@ -36,8 +36,8 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + global::System.Collections.Generic.IList? customMetadata = default, string? fileName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs index acf7cc3..14454a5 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 @@ -28,12 +28,12 @@ public partial interface IGeminiClient /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// - /// - /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. - /// /// /// Custom metadata to be associated with the data. /// + /// + /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -41,8 +41,8 @@ public partial interface IGeminiClient string fileSearchStoresId, string? displayName = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, - string? mimeType = default, global::System.Collections.Generic.IList? customMetadata = default, + string? mimeType = 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 a6a2568..dbf1c72 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 @@ -22,17 +22,17 @@ public partial interface IGeminiClient /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Optional. 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. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). - /// /// /// 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. + /// + /// Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). /// /// /// Optional. 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. @@ -42,10 +42,10 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, + global::Google.Gemini.Content? content = default, int? outputDimensionality = default, - global::Google.Gemini.EmbedContentRequestTaskType? taskType = default, string? model = default, - global::Google.Gemini.Content? content = default, + global::Google.Gemini.EmbedContentRequestTaskType? taskType = default, string? title = 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 1dd5767..ece1bec 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs index 57ccef3..daeafa1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs index 7310f04..7f5708c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs index 43c1a19..34ed306 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs @@ -22,47 +22,47 @@ public partial interface IGeminiClient /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. A short description of this model. /// /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. A short description of this model. - /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// 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. /// /// /// Tuned model as a source for training a new model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - float? temperature = default, - global::Google.Gemini.TuningTask? tuningTask = default, + string? baseModel = default, + string? description = default, float? topP = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? displayName = default, - string? description = default, - int? topK = default, + float? temperature = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - string? baseModel = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + int? topK = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs index bd4165f..fdd9bd3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs index 609e651..bbc84ca 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs @@ -25,32 +25,32 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. A short description of this model. /// /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. A short description of this model. - /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// 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. /// /// /// Tuned model as a source for training a new model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -58,15 +58,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - float? temperature = default, - global::Google.Gemini.TuningTask? tuningTask = default, + string? baseModel = default, + string? description = default, float? topP = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? displayName = default, - string? description = default, - int? topK = default, + float? temperature = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - string? baseModel = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + int? topK = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs index ad4fcfe..837f32b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs @@ -22,12 +22,12 @@ public partial interface IGeminiClient /// Create a permission to a specific resource. /// /// - /// - /// Required. The role granted by this 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. + /// /// /// Optional. Immutable. The type of the grantee. /// @@ -36,8 +36,8 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = 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 787b221..4404bb7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs @@ -28,12 +28,12 @@ public partial interface IGeminiClient /// /// /// - /// - /// Required. The role granted by this 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. + /// /// /// Optional. Immutable. The type of the grantee. /// @@ -44,8 +44,8 @@ public partial interface IGeminiClient string tunedModelsId, string permissionsId, string? updateMask = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = 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 cd5faf2..93cd6c5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index 45b2add..94c2c24 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - bool? store = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + string? model = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, + bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs index 4291819..9f3c2ba 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,419 +13,419 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), 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.TunedModel))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningTask))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(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.PrebuiltVoiceConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelSource))] - [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.Operation))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Part))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ContentEmbedding))] - [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.Model))] - [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.TransferOwnershipResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponseToolType), TypeInfoPropertyName = "ToolResponseToolType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCode))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResult))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(byte[]))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Blob))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCall))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingAttribution))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AttributionSourceId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListModelsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Model))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchEntryPoint))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCount))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContext))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Permission))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PermissionRole), TypeInfoPropertyName = "PermissionRole2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PermissionGranteeType), TypeInfoPropertyName = "PermissionGranteeType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearchStore))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ChunkingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadataUrlRetrievalStatus), TypeInfoPropertyName = "UrlMetadataUrlRetrievalStatus2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [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.CachedContent))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContentUsageMetadata))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Tool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCountModality), TypeInfoPropertyName = "ModalityTokenCountModality2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkStringList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecution))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingPassageId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Empty))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearch))] + [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.EmbeddingUsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCount))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequestTaskType), TypeInfoPropertyName = "EmbedContentRequestTaskType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StringList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResultCandidate))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySetting))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingCategory), TypeInfoPropertyName = "SafetySettingCategory2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingThreshold), TypeInfoPropertyName = "SafetySettingThreshold2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchGenerateContentRequest))] [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.UsageMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImportFileRequest))] + [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::Google.Gemini.GenerateContentRequestServiceTier), TypeInfoPropertyName = "GenerateContentRequestServiceTier2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCachedContentsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PlaceAnswerSources))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.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.TuningExample))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListTunedModelsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ContentEmbedding))] + [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.CustomLongRunningOperation))] + [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.GenerateContentBatchState), TypeInfoPropertyName = "GenerateContentBatchState2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchStats))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchOutput))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Dataset))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExamples))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequests))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCorporaResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListDocumentsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Document))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListTunedModelsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecution))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCountModality), TypeInfoPropertyName = "ModalityTokenCountModality2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(double))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SchemaType), TypeInfoPropertyName = "SchemaType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalConfig))] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Maps))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequestTaskType), TypeInfoPropertyName = "EmbedContentRequestTaskType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WhiteSpaceConfig))] - [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.InlinedRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Web))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Empty))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] - [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.WebSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomLongRunningOperation))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfigThinkingLevel), TypeInfoPropertyName = "ThinkingConfigThinkingLevel2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StringList))] - [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.ToolCallToolType), TypeInfoPropertyName = "ToolCallToolType2")] - [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::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingThreshold), TypeInfoPropertyName = "SafetySettingThreshold2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingCategory), TypeInfoPropertyName = "SafetySettingCategory2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchGenerateContentRequest))] - [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::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [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.ComputerUseEnvironment), TypeInfoPropertyName = "ComputerUseEnvironment2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFileState), TypeInfoPropertyName = "GeneratedFileState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [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 ecf46c1..3c35af5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,19 +28,19 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.TunedModel? Type0 { get; set; } + public global::Google.Gemini.SearchTypes? Type0 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type1 { get; set; } + public global::Google.Gemini.WebSearch? Type1 { get; set; } /// /// /// - public float? Type2 { get; set; } + public global::Google.Gemini.ImageSearch? Type2 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type3 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type3 { get; set; } /// /// /// @@ -48,207 +48,207 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::System.Collections.Generic.IList? Type5 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type5 { get; set; } /// /// /// - public int? Type6 { get; set; } + public global::System.Collections.Generic.IList? Type6 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type7 { get; set; } + public global::Google.Gemini.File? Type7 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type8 { get; set; } + public global::Google.Gemini.Part? Type8 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type9 { get; set; } + public global::Google.Gemini.FunctionResponse? Type9 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type10 { get; set; } + public object? Type10 { get; set; } /// /// /// - public bool? Type11 { get; set; } + public global::Google.Gemini.ToolResponse? Type11 { get; set; } /// /// /// - public object? Type12 { get; set; } + public global::Google.Gemini.VideoMetadata? Type12 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type13 { get; set; } + public global::Google.Gemini.ExecutableCode? Type13 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type14 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type14 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type15 { get; set; } + public global::Google.Gemini.ToolCall? Type15 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type16 { get; set; } + public byte[]? Type16 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type17 { get; set; } + public global::Google.Gemini.FileData? Type17 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type18 { get; set; } + public global::Google.Gemini.Blob? Type18 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type19 { get; set; } + public global::Google.Gemini.FunctionCall? Type19 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type20 { get; set; } + public bool? Type20 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type21 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type21 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type22 { get; set; } + public global::System.Collections.Generic.IList? Type22 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type23 { get; set; } + public global::Google.Gemini.Model? Type23 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type24 { get; set; } + public global::Google.Gemini.VoiceConfig? Type24 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type25 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type25 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type26 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type26 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type27 { get; set; } + public global::System.Collections.Generic.IList? Type27 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type28 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type28 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type29 { get; set; } + public int? Type29 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type30 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type30 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type31 { get; set; } + public float? Type31 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type32 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type32 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type33 { get; set; } + public global::Google.Gemini.UrlContext? Type33 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type34 { get; set; } + public global::Google.Gemini.Permission? Type34 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type35 { get; set; } + public global::Google.Gemini.PermissionRole? Type35 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type36 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type36 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type37 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type37 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type38 { get; set; } + public global::Google.Gemini.FileSearchStore? Type38 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type39 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type39 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type40 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type40 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type41 { get; set; } + public global::System.Collections.Generic.IList? Type41 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type42 { get; set; } + public global::Google.Gemini.CustomMetadata? Type42 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type43 { get; set; } + public global::Google.Gemini.UrlMetadata? Type43 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type44 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type44 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type45 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type45 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type46 { get; set; } + public global::Google.Gemini.Content? Type46 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type47 { get; set; } + public global::System.Collections.Generic.IList? Type47 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type48 { get; set; } + public global::Google.Gemini.ModelStatus? Type48 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type49 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type49 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type50 { get; set; } + public global::Google.Gemini.CachedContent? Type50 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type51 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type51 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type52 { get; set; } + public global::System.Collections.Generic.IList? Type52 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type53 { get; set; } + public global::Google.Gemini.ToolConfig? Type53 { get; set; } /// /// /// - public global::Google.Gemini.File? Type54 { get; set; } + public global::System.Collections.Generic.IList? Type54 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type55 { get; set; } + public global::Google.Gemini.Tool? Type55 { get; set; } /// /// /// @@ -256,836 +256,836 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.Schema? Type57 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type57 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type58 { get; set; } + public global::System.Collections.Generic.IList? Type58 { get; set; } /// /// /// - public double? Type59 { get; set; } + public global::Google.Gemini.CodeExecution? Type59 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type60 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type60 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type61 { get; set; } + public global::Google.Gemini.InlinedRequests? Type61 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type62 { get; set; } + public global::System.Collections.Generic.IList? Type62 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type63 { get; set; } + public global::Google.Gemini.InlinedRequest? Type63 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type64 { get; set; } + public global::Google.Gemini.Empty? Type64 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type65 { get; set; } + public global::Google.Gemini.FileSearch? Type65 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type66 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type66 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type67 { get; set; } + public global::System.Collections.Generic.IList? Type67 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type68 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type68 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type69 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type69 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type70 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type70 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type71 { get; set; } + public global::Google.Gemini.Status? Type71 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type72 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type72 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type73 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type73 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type74 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type74 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type75 { get; set; } + public global::Google.Gemini.StringList? Type75 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type76 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type76 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type77 { get; set; } + public global::Google.Gemini.SafetySetting? Type77 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type78 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type78 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type79 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type79 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type80 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type80 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type81 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type81 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type82 { get; set; } + public global::Google.Gemini.UsageMetadata? Type82 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type83 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type83 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type84 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type84 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type85 { get; set; } + public global::Google.Gemini.GenerationConfig? Type85 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type86 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type86 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type87 { get; set; } + public global::System.Collections.Generic.IList? Type87 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type88 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type88 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type89 { get; set; } + public global::System.Collections.Generic.IList? Type89 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type90 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type90 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type91 { get; set; } + public global::System.Collections.Generic.IList? Type91 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type92 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type92 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type93 { get; set; } + public global::System.Collections.Generic.IList? Type93 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type94 { get; set; } + public global::Google.Gemini.Corpus? Type94 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type95 { get; set; } + public global::Google.Gemini.TuningExample? Type95 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type96 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type96 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type97 { get; set; } + public global::System.Collections.Generic.IList? Type97 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type98 { get; set; } + public global::Google.Gemini.TunedModel? Type98 { get; set; } /// /// /// - public byte[]? Type99 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type99 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type100 { get; set; } + public global::System.Collections.Generic.IList? Type100 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type101 { get; set; } + public global::System.Collections.Generic.IList? Type101 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type102 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type102 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type103 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type103 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type104 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type104 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type105 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type105 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type106 { get; set; } + public global::Google.Gemini.BatchStats? Type106 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type107 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type107 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type108 { get; set; } + public global::Google.Gemini.InputConfig? Type108 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type109 { get; set; } + public global::Google.Gemini.Dataset? Type109 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type110 { get; set; } + public global::Google.Gemini.TuningExamples? Type110 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type111 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type111 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type112 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type112 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type113 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type113 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type114 { get; set; } + public global::Google.Gemini.CitationSource? Type114 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type115 { get; set; } + public global::Google.Gemini.PromptFeedback? Type115 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type116 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type116 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type117 { get; set; } + public global::System.Collections.Generic.IList? Type117 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type118 { get; set; } + public global::Google.Gemini.SafetyRating? Type118 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type119 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type119 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type120 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type120 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type121 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type121 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type122 { get; set; } + public global::System.Collections.Generic.IList? Type122 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type123 { get; set; } + public global::Google.Gemini.ComputerUse? Type123 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type124 { get; set; } + public global::Google.Gemini.GoogleMaps? Type124 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type125 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type125 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type126 { get; set; } + public global::System.Collections.Generic.IList? Type126 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type127 { get; set; } + public global::Google.Gemini.McpServer? Type127 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type128 { get; set; } + public global::System.Collections.Generic.IList? Type128 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type129 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type129 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type130 { get; set; } + public global::Google.Gemini.GoogleSearch? Type130 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type131 { get; set; } + public global::Google.Gemini.Interval? Type131 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type132 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type132 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type133 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type133 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type134 { get; set; } + public global::Google.Gemini.RetrievedContext? Type134 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type135 { get; set; } + public global::System.Collections.Generic.IList? Type135 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type136 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type136 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type137 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type137 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type138 { get; set; } + public global::System.Collections.Generic.IList? Type138 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type139 { get; set; } + public global::Google.Gemini.GeneratedFile? Type139 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type140 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type140 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type141 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type141 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type142 { get; set; } + public global::Google.Gemini.FileSource? Type142 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type143 { get; set; } + public global::Google.Gemini.FileState? Type143 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type144 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type144 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type145 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type145 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type146 { get; set; } + public global::System.Collections.Generic.IList? Type146 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type147 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type147 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type148 { get; set; } + public global::System.Collections.Generic.IList? Type148 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type149 { get; set; } + public global::System.Collections.Generic.IList? Type149 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type150 { get; set; } + public global::Google.Gemini.GroundingChunk? Type150 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type151 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type151 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type152 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type152 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type153 { get; set; } + public global::Google.Gemini.TunedModelSource? Type153 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type154 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type154 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type155 { get; set; } + public global::Google.Gemini.Hyperparameters? Type155 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type156 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type156 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type157 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type157 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type158 { get; set; } + public global::System.Collections.Generic.IList? Type158 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type159 { get; set; } + public global::Google.Gemini.Document? Type159 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type160 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type160 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type161 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type161 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type162 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type162 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type163 { get; set; } + public global::System.Collections.Generic.IList? Type163 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type164 { get; set; } + public global::Google.Gemini.Operation? Type164 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type165 { get; set; } + public global::Google.Gemini.TopCandidates? Type165 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type166 { get; set; } + public global::System.Collections.Generic.IList? Type166 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type167 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type167 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type168 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type168 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type169 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type169 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type170 { get; set; } + public global::Google.Gemini.LogprobsResult? Type170 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type171 { get; set; } + public global::System.Collections.Generic.IList? Type171 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type172 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type172 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type173 { get; set; } + public global::System.Collections.Generic.IList? Type173 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type174 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type174 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type175 { get; set; } + public double? Type175 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type176 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type176 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type177 { get; set; } + public global::System.Collections.Generic.IList? Type177 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type178 { get; set; } + public global::System.Collections.Generic.IList? Type178 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type179 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type179 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type180 { get; set; } + public global::System.Collections.Generic.IList? Type180 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type181 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type181 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type182 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type182 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type183 { get; set; } + public global::System.Collections.Generic.IList? Type183 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type184 { get; set; } + public global::Google.Gemini.TuningTask? Type184 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type185 { get; set; } + public global::System.Collections.Generic.IList? Type185 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type186 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type186 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type187 { get; set; } + public global::Google.Gemini.Schema? Type187 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type188 { get; set; } + public global::Google.Gemini.SchemaType? Type188 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type189 { get; set; } + public global::System.Collections.Generic.IList? Type189 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type190 { get; set; } + public global::System.Collections.Generic.Dictionary? Type190 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type191 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type191 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type192 { get; set; } + public global::Google.Gemini.LatLng? Type192 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type193 { get; set; } + public global::Google.Gemini.InlinedResponses? Type193 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type194 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type194 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type195 { get; set; } + public global::Google.Gemini.SpeechConfig? Type195 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type196 { get; set; } + public global::System.Collections.Generic.IList? Type196 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type197 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type197 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type198 { get; set; } + public global::Google.Gemini.ImageConfig? Type198 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type199 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type199 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type200 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type200 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type201 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type201 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type202 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type202 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type203 { get; set; } + public global::Google.Gemini.CitationMetadata? Type203 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type204 { get; set; } + public global::System.Collections.Generic.IList? Type204 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type205 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type205 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type206 { get; set; } + public global::Google.Gemini.Image? Type206 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type207 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type207 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type208 { get; set; } + public global::Google.Gemini.Candidate? Type208 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type209 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type209 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type210 { get; set; } + public global::System.Collections.Generic.IList? Type210 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type211 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type211 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type212 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type212 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type213 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type213 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type214 { get; set; } + public global::Google.Gemini.DocumentState? Type214 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type215 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type215 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type216 { get; set; } + public global::System.Collections.Generic.IList? Type216 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type217 { get; set; } + public global::Google.Gemini.Maps? Type217 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type218 { get; set; } + public global::Google.Gemini.Web? Type218 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type219 { get; set; } + public global::Google.Gemini.InlinedResponse? Type219 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type220 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type220 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type221 { get; set; } + public global::System.Collections.Generic.IList? Type221 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type222 { get; set; } + public global::System.Collections.Generic.IList? Type222 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type223 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type223 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type224 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type224 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type225 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type225 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type226 { get; set; } + public global::System.Collections.Generic.Dictionary? Type226 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type227 { get; set; } + public global::System.Collections.Generic.IList? Type227 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type228 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type228 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type229 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type229 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type230 { get; set; } + public global::System.Collections.Generic.IList? Type230 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type231 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type231 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type232 { get; set; } + public global::Google.Gemini.TunedModelState? Type232 { 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; } /// /// /// - public global::System.Collections.Generic.List? ListType30 { get; set; } + public global::System.Collections.Generic.List? ListType30 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType31 { get; set; } + public global::System.Collections.Generic.List? ListType31 { get; set; } /// /// /// @@ -1093,50 +1093,50 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - 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 208866c..2d96e68 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 29afbb3..72da3cc 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 failed to be processed.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } + /// /// Output only. The number of requests that are still pending processing.
/// Included only in responses @@ -29,13 +36,6 @@ public sealed partial class BatchStats [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 - /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { 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 failed to be processed.
+ /// Included only in responses + /// /// /// Output only. The number of requests that are still pending processing.
/// Included only in responses @@ -57,23 +61,19 @@ public sealed partial class BatchStats /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( string? requestCount, + string? failedRequestCount, string? pendingRequestCount, - string? successfulRequestCount, - string? failedRequestCount) + string? successfulRequestCount) { this.RequestCount = requestCount; + this.FailedRequestCount = failedRequestCount; this.PendingRequestCount = pendingRequestCount; this.SuccessfulRequestCount = successfulRequestCount; - this.FailedRequestCount = failedRequestCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs index 8836a87..7dce698 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Blob { - /// - /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - /// /// Raw bytes for media formats. /// [global::System.Text.Json.Serialization.JsonPropertyName("data")] public byte[]? Data { get; set; } + /// + /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Blob /// /// Initializes a new instance of the class. /// - /// - /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). - /// /// /// Raw bytes for media formats. /// + /// + /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Blob( - string? mimeType, - byte[]? data) + byte[]? data, + string? mimeType) { - this.MimeType = mimeType; this.Data = data; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs index 8ae8e21..e5ef10f 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class CachedContent { /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// Metadata on the usage of the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } /// /// Optional. Input only. Immutable. The content to cache. @@ -21,25 +21,23 @@ public sealed partial class CachedContent public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// 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}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Output only. Creation time of the cache entry.
- /// Included only in responses + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Output only. Creation time of the cache entry.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. @@ -48,16 +46,16 @@ public sealed partial class CachedContent public global::Google.Gemini.Content? SystemInstruction { get; set; } /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// Input only. New TTL for this resource, input only. /// - [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] - public string? ExpireTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] + public string? Ttl { get; set; } /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] + public string? ExpireTime { get; set; } /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. @@ -66,16 +64,11 @@ public sealed partial class CachedContent public global::Google.Gemini.ToolConfig? ToolConfig { 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; } - - /// - /// Input only. New TTL for this resource, input only. + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response @@ -83,6 +76,13 @@ public sealed partial class CachedContent [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 + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -92,74 +92,74 @@ public sealed partial class CachedContent /// /// Initializes a new instance of the class. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Output only. When the cache entry was last updated in UTC time.
- /// Included only in responses + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// 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 /// - /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// 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. /// + /// + /// 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}` - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// + /// + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( - string? displayName, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, global::System.Collections.Generic.IList? contents, - string? updateTime, + string? model, + string? displayName, string? createTime, - string? name, global::Google.Gemini.Content? systemInstruction, + string? ttl, string? expireTime, - string? model, global::Google.Gemini.ToolConfig? toolConfig, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, - string? ttl, - global::System.Collections.Generic.IList? tools) + string? name, + global::System.Collections.Generic.IList? tools, + string? updateTime) { - this.DisplayName = displayName; + this.UsageMetadata = usageMetadata; this.Contents = contents; - this.UpdateTime = updateTime; + this.Model = model; + this.DisplayName = displayName; this.CreateTime = createTime; - this.Name = name; this.SystemInstruction = systemInstruction; + this.Ttl = ttl; this.ExpireTime = expireTime; - this.Model = model; this.ToolConfig = toolConfig; - this.UsageMetadata = usageMetadata; - this.Ttl = ttl; + this.Name = name; this.Tools = tools; + this.UpdateTime = updateTime; } /// 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 0029395..2303530 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 @@ -9,58 +9,56 @@ namespace Google.Gemini public sealed partial class Candidate { /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
- /// Included only in responses + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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("finishReason")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] - public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses + /// Logprobs Result /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] + public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } /// - /// Output only. Token count for this candidate.
- /// Included only in responses + /// A collection of source attributions for a piece of content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] - public int? TokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] + public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } /// - /// Logprobs Result + /// Metadata returned to client when grounding is enabled. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] - public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] + public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// Output only. Average log probability score of the candidate.
/// 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("avgLogprobs")] + public double? AvgLogprobs { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Optional. 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("content")] - public global::Google.Gemini.Content? Content { 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; } /// - /// 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 + /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] - public string? FinishMessage { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } /// - /// A collection of source attributions for a piece of content. + /// Output only. Index of the candidate in the list of response candidates.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] - public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("index")] + public int? Index { get; set; } /// /// Metadata related to url context retrieval tool. @@ -69,23 +67,25 @@ public sealed partial class Candidate public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// - /// Metadata returned to client when grounding is enabled. + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] - public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// Output only. Token count for this candidate.
+ /// 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("tokenCount")] + public int? TokenCount { get; set; } /// - /// Output only. Average log probability score of the candidate.
+ /// 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("avgLogprobs")] - public double? AvgLogprobs { 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. /// - /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
- /// Included only in responses - /// - /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses - /// - /// - /// Output only. Token count for this candidate.
- /// Included only in responses + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// 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 + /// + /// A collection of source attributions for a piece of content. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. Average log probability score of the candidate.
/// Included only in responses /// - /// - /// A collection of source attributions for a piece of content. + /// + /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
+ /// Included only in responses + /// + /// + /// 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 /// /// /// Metadata related to url context retrieval tool. /// - /// - /// Metadata returned to client when grounding is enabled. + /// + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Included only in responses /// - /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// + /// Output only. Token count for this candidate.
+ /// Included only in responses /// - /// - /// Output only. Average log probability score of the candidate.
+ /// + /// 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( - global::Google.Gemini.CandidateFinishReason? finishReason, - int? index, - int? tokenCount, - global::Google.Gemini.LogprobsResult? logprobsResult, - global::System.Collections.Generic.IList? groundingAttributions, global::Google.Gemini.Content? content, - string? finishMessage, + global::Google.Gemini.LogprobsResult? logprobsResult, global::Google.Gemini.CitationMetadata? citationMetadata, - global::Google.Gemini.UrlContextMetadata? urlContextMetadata, global::Google.Gemini.GroundingMetadata? groundingMetadata, + double? avgLogprobs, + global::Google.Gemini.CandidateFinishReason? finishReason, global::System.Collections.Generic.IList? safetyRatings, - double? avgLogprobs) + int? index, + global::Google.Gemini.UrlContextMetadata? urlContextMetadata, + string? finishMessage, + int? tokenCount, + global::System.Collections.Generic.IList? groundingAttributions) { - this.FinishReason = finishReason; - this.Index = index; - this.TokenCount = tokenCount; - this.LogprobsResult = logprobsResult; - this.GroundingAttributions = groundingAttributions; this.Content = content; - this.FinishMessage = finishMessage; + this.LogprobsResult = logprobsResult; this.CitationMetadata = citationMetadata; - this.UrlContextMetadata = urlContextMetadata; this.GroundingMetadata = groundingMetadata; - this.SafetyRatings = safetyRatings; this.AvgLogprobs = avgLogprobs; + this.FinishReason = finishReason; + this.SafetyRatings = safetyRatings; + this.Index = index; + this.UrlContextMetadata = urlContextMetadata; + this.FinishMessage = finishMessage; + this.TokenCount = tokenCount; + 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 229e50d..44bb976 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. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] - public int? StartIndex { get; set; } - /// /// Optional. URI that is attributed as a source for a portion of the text. /// @@ -26,6 +20,12 @@ public sealed partial class CitationSource [global::System.Text.Json.Serialization.JsonPropertyName("license")] public string? License { get; set; } + /// + /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] + public int? StartIndex { get; set; } + /// /// Optional. End of the attributed segment, exclusive. /// @@ -41,15 +41,15 @@ public sealed partial class CitationSource /// /// Initializes a new instance of the class. /// - /// - /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. - /// /// /// Optional. URI that is attributed as a source for a portion of the text. /// /// /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. /// + /// + /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. + /// /// /// Optional. End of the attributed segment, exclusive. /// @@ -57,14 +57,14 @@ public sealed partial class CitationSource [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( - int? startIndex, string? uri, string? license, + int? startIndex, int? endIndex) { - this.StartIndex = startIndex; this.Uri = uri; this.License = license; + this.StartIndex = startIndex; this.EndIndex = endIndex; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs index 37c75a4..2c1f1be 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 9452bc5..78e5983 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 @@ -9,18 +9,24 @@ namespace Google.Gemini public sealed partial class Corpus { /// - /// Output only. The Timestamp of when the `Corpus` was created.
+ /// 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("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
+ /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Output only. The Timestamp of when the `Corpus` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Output only. The Timestamp of when the `Corpus` was last updated.
@@ -29,12 +35,6 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { 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" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { 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. The Timestamp of when the `Corpus` was created.
- /// Included only in responses - /// /// /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
/// Included only in responses /// + /// + /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + /// + /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Included only in responses + /// /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses /// - /// - /// 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" - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( - string? createTime, string? name, - string? updateTime, - string? displayName) + string? displayName, + string? createTime, + string? updateTime) { - this.CreateTime = createTime; this.Name = name; - this.UpdateTime = updateTime; this.DisplayName = displayName; + this.CreateTime = createTime; + this.UpdateTime = updateTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs index 869d114..4208a33 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class CountTokensResponse { /// - /// Output only. List of modalities that were processed in the request input.
+ /// Output only. List of modalities that were processed in the cached content.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } /// /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. @@ -28,11 +28,11 @@ public sealed partial class CountTokensResponse public int? CachedContentTokenCount { get; set; } /// - /// Output only. List of modalities that were processed in the cached content.
+ /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -43,8 +43,8 @@ public sealed partial class CountTokensResponse /// /// Initializes a new instance of the class. /// - /// - /// Output only. List of modalities that were processed in the request input.
+ /// + /// Output only. List of modalities that were processed in the cached content.
/// Included only in responses /// /// @@ -53,23 +53,23 @@ public sealed partial class CountTokensResponse /// /// Number of tokens in the cached part of the prompt (the cached content). /// - /// - /// Output only. List of modalities that were processed in the cached content.
+ /// + /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( - global::System.Collections.Generic.IList? promptTokensDetails, + global::System.Collections.Generic.IList? cacheTokensDetails, int? totalTokens, int? cachedContentTokenCount, - global::System.Collections.Generic.IList? cacheTokensDetails) + global::System.Collections.Generic.IList? promptTokensDetails) { - this.PromptTokensDetails = promptTokensDetails; + this.CacheTokensDetails = cacheTokensDetails; this.TotalTokens = totalTokens; this.CachedContentTokenCount = cachedContentTokenCount; - this.CacheTokensDetails = cacheTokensDetails; + this.PromptTokensDetails = promptTokensDetails; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs index 36ed12c..a6c1c44 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; } - - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } /// /// The `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). @@ -26,6 +20,12 @@ public sealed partial class CustomLongRunningOperation [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`. /// @@ -33,10 +33,10 @@ public sealed partial class CustomLongRunningOperation public object? Response { get; set; } /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +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}`. - /// - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// + /// + /// 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. + /// + /// 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, - object? metadata, + bool? done, global::Google.Gemini.Status? error, + object? metadata, object? response, - bool? done) + string? name) { - this.Name = name; - this.Metadata = metadata; + this.Done = done; this.Error = error; + this.Metadata = metadata; this.Response = response; - this.Done = done; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs index b2a2bbf..7186c28 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class CustomMetadata { /// - /// The numeric value of the metadata to store. + /// The string value of the metadata to store. /// - [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] - public float? NumericValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] + public string? StringValue { get; set; } /// /// Required. The key of the metadata to store. @@ -21,16 +21,16 @@ public sealed partial class CustomMetadata public string? Key { get; set; } /// - /// User provided string values assigned to a single metadata key. + /// The numeric value of the metadata to store. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.StringList? StringListValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] + public float? NumericValue { get; set; } /// - /// The string value of the metadata to store. + /// User provided string values assigned to a single metadata key. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] - public string? StringValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] + public global::Google.Gemini.StringList? StringListValue { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class CustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// The numeric value of the metadata to store. + /// + /// The string value of the metadata to store. /// /// /// Required. The key of the metadata to store. /// + /// + /// The numeric value of the metadata to store. + /// /// /// User provided string values assigned to a single metadata key. /// - /// - /// The string value of the metadata to store. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( - float? numericValue, + string? stringValue, string? key, - global::Google.Gemini.StringList? stringListValue, - string? stringValue) + float? numericValue, + global::Google.Gemini.StringList? stringListValue) { - this.NumericValue = numericValue; + this.StringValue = stringValue; this.Key = key; + this.NumericValue = numericValue; this.StringListValue = stringListValue; - this.StringValue = stringValue; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs index 1a6b3ba..4fcb79e 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 @@ -9,17 +9,19 @@ namespace Google.Gemini public sealed partial class Document { /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// Output only. The Timestamp of when the `Document` was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. The Timestamp of when the `Document` was created.
+ /// Output only. Current state of the `Document`.
/// 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.DocumentStateJsonConverter))] + public global::Google.Gemini.DocumentState? State { get; set; } /// /// Output only. The size of raw bytes ingested into the Document.
@@ -28,12 +30,6 @@ 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. 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" /// @@ -41,19 +37,23 @@ public sealed partial class Document public string? DisplayName { get; set; } /// - /// Output only. Current state of the `Document`.
+ /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter))] - public global::Google.Gemini.DocumentState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. The Timestamp of when the `Document` was last updated.
- /// 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` /// - [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. 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.
@@ -71,30 +71,30 @@ public sealed partial class Document /// /// Initializes a new instance of the class. /// - /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// + /// Output only. The Timestamp of when the `Document` was last updated.
+ /// Included only in responses /// - /// - /// Output only. The Timestamp of when the `Document` was created.
+ /// + /// Output only. Current state of the `Document`.
/// Included only in responses /// /// /// 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. 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`.
+ /// + /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `Document` was last updated.
- /// 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.
@@ -104,22 +104,22 @@ public sealed partial class Document [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - global::System.Collections.Generic.IList? customMetadata, - string? createTime, + string? updateTime, + global::Google.Gemini.DocumentState? state, string? sizeBytes, - string? name, string? displayName, - global::Google.Gemini.DocumentState? state, - string? updateTime, + string? createTime, + string? name, + global::System.Collections.Generic.IList? customMetadata, string? mimeType) { - this.CustomMetadata = customMetadata; - this.CreateTime = createTime; + this.UpdateTime = updateTime; + this.State = state; this.SizeBytes = sizeBytes; - this.Name = name; this.DisplayName = displayName; - this.State = state; - this.UpdateTime = updateTime; + this.CreateTime = createTime; + this.Name = name; + this.CustomMetadata = customMetadata; this.MimeType = mimeType; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs index a57fba7..2646267 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class DynamicRetrievalConfig { + /// + /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("dynamicThreshold")] + public float? DynamicThreshold { get; set; } + /// /// The mode of the predictor to be used in dynamic retrieval. /// @@ -15,12 +21,6 @@ public sealed partial class DynamicRetrievalConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter))] public global::Google.Gemini.DynamicRetrievalConfigMode? Mode { get; set; } - /// - /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("dynamicThreshold")] - public float? DynamicThreshold { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class DynamicRetrievalConfig /// /// Initializes a new instance of the class. /// - /// - /// The mode of the predictor to be used in dynamic retrieval. - /// /// /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. /// + /// + /// The mode of the predictor to be used in dynamic retrieval. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public DynamicRetrievalConfig( - global::Google.Gemini.DynamicRetrievalConfigMode? mode, - float? dynamicThreshold) + float? dynamicThreshold, + global::Google.Gemini.DynamicRetrievalConfigMode? mode) { - this.Mode = mode; this.DynamicThreshold = dynamicThreshold; + this.Mode = mode; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs index d89c035..de68c7b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs @@ -9,36 +9,30 @@ namespace Google.Gemini public sealed partial class EmbedContentBatch { /// - /// 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 created.
+ /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// - /// Stats about the batch. + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// Output only. The time at which the batch was created.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -47,16 +41,12 @@ public sealed partial class EmbedContentBatch public string? Model { get; set; } /// - /// Required. The user-defined name of this batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// Configures the input to the batch request. + /// Output only. The state of the batch.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] + public global::Google.Gemini.EmbedContentBatchState? State { get; set; } /// /// Output only. The time at which the batch was last updated.
@@ -66,19 +56,29 @@ public sealed partial class EmbedContentBatch public string? UpdateTime { get; set; } /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } /// - /// Output only. The state of the batch.
+ /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] - public global::Google.Gemini.EmbedContentBatchState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// 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; } + + /// + /// 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; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,71 +89,71 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// + /// Output only. The time at which the batch processing completed.
/// Included only in responses /// + /// + /// Configures the input to the batch request. + /// + /// + /// Required. The user-defined name of this batch. + /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// Stats about the batch. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Required. The user-defined name of this batch. - /// - /// - /// Configures the input to the batch request. + /// + /// Output only. The state of the batch.
+ /// Included only in responses /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// + /// Stats about the batch. /// - /// - /// Output only. The state of the batch.
+ /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( - string? name, + string? endTime, + global::Google.Gemini.InputEmbedContentConfig? inputConfig, + string? displayName, string? createTime, - global::Google.Gemini.EmbedContentBatchStats? batchStats, - string? priority, - global::Google.Gemini.EmbedContentBatchOutput? output, string? model, - string? displayName, - global::Google.Gemini.InputEmbedContentConfig? inputConfig, + global::Google.Gemini.EmbedContentBatchState? state, string? updateTime, - string? endTime, - global::Google.Gemini.EmbedContentBatchState? state) + global::Google.Gemini.EmbedContentBatchStats? batchStats, + string? name, + string? priority, + global::Google.Gemini.EmbedContentBatchOutput? output) { - this.Name = name; + this.EndTime = endTime; + this.InputConfig = inputConfig; + this.DisplayName = displayName; this.CreateTime = createTime; + this.Model = model; + this.State = state; + this.UpdateTime = updateTime; this.BatchStats = batchStats; + this.Name = name; this.Priority = priority; this.Output = output; - this.Model = model; - this.DisplayName = displayName; - this.InputConfig = inputConfig; - this.UpdateTime = updateTime; - this.EndTime = endTime; - this.State = state; } /// 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 d90698b..46b2d1b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatchStats { - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } - /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses @@ -29,6 +22,13 @@ public sealed partial class EmbedContentBatchStats [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] public string? RequestCount { get; set; } + /// + /// Output only. The number of requests that failed to be processed.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } + /// /// Output only. The number of requests that are still pending processing.
/// Included only in responses @@ -45,10 +45,6 @@ public sealed partial class EmbedContentBatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses @@ -57,6 +53,10 @@ public sealed partial class EmbedContentBatchStats /// Output only. The number of requests in the batch.
/// Included only in responses /// + /// + /// Output only. The number of requests that failed to be processed.
+ /// Included only in responses + /// /// /// Output only. The number of requests that are still pending processing.
/// Included only in responses @@ -65,14 +65,14 @@ public sealed partial class EmbedContentBatchStats [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchStats( - string? failedRequestCount, string? successfulRequestCount, string? requestCount, + string? failedRequestCount, string? pendingRequestCount) { - this.FailedRequestCount = failedRequestCount; this.SuccessfulRequestCount = successfulRequestCount; this.RequestCount = requestCount; + this.FailedRequestCount = failedRequestCount; this.PendingRequestCount = pendingRequestCount; } 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 922236a..adc9796 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 @@ -9,17 +9,16 @@ namespace Google.Gemini public sealed partial class EmbedContentRequest { /// - /// Optional. 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`). + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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("outputDimensionality")] - public int? OutputDimensionality { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// - /// Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). + /// Optional. 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("taskType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter))] - public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + public int? OutputDimensionality { get; set; } /// /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` @@ -28,10 +27,11 @@ public sealed partial class EmbedContentRequest public string? Model { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter))] + public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } /// /// Optional. 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. @@ -48,17 +48,17 @@ public sealed partial class EmbedContentRequest /// /// Initializes a new instance of the class. /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Optional. 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. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). - /// /// /// 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. + /// + /// Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). /// /// /// Optional. 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. @@ -67,16 +67,16 @@ public sealed partial class EmbedContentRequest [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentRequest( + global::Google.Gemini.Content? content, int? outputDimensionality, - global::Google.Gemini.EmbedContentRequestTaskType? taskType, string? model, - global::Google.Gemini.Content? content, + global::Google.Gemini.EmbedContentRequestTaskType? taskType, string? title) { + this.Content = content; this.OutputDimensionality = outputDimensionality; - this.TaskType = taskType; this.Model = model; - this.Content = content; + this.TaskType = taskType; this.Title = title; } 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 ab199b5..1de5992 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 6297d23..09d3e7f 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 @@ -9,45 +9,38 @@ namespace Google.Gemini public sealed partial class File { /// - /// Output only. Processing state of the File.
+ /// Output only. The uri of the `File`.
/// Included only in responses /// - [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("uri")] + public string? Uri { 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). + /// Source of the File. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("source")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter))] + public global::Google.Gemini.FileSource? Source { get; set; } /// - /// Output only. MIME type of the file.
+ /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - - /// - /// Metadata for a video `File`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. SHA-256 hash of the uploaded bytes.
- /// Included only in responses + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] - public byte[]? Sha256Hash { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// - /// Output only. The uri of the `File`.
+ /// Output only. Size of the file in bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// /// 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" @@ -56,25 +49,18 @@ public sealed partial class File public string? DisplayName { get; set; } /// - /// Output only. Size of the file in bytes.
+ /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// Output only. MIME type of the file.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } - - /// - /// 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; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } /// /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
@@ -91,11 +77,12 @@ public sealed partial class File public string? DownloadUri { get; set; } /// - /// Output only. The timestamp of when the `File` was created.
+ /// Output only. Processing state of the File.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] + public global::Google.Gemini.FileState? State { 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` @@ -103,6 +90,19 @@ public sealed partial class File [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// Metadata for a video `File`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } + + /// + /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] + public byte[]? Sha256Hash { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -112,42 +112,35 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// - /// - /// Output only. Processing state 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). + /// + /// Source of the File. /// - /// - /// Output only. MIME type of the file.
+ /// + /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// - /// - /// Metadata for a video `File`. - /// - /// - /// Output only. SHA-256 hash of the uploaded bytes.
- /// Included only in responses + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - /// - /// Output only. The uri of the `File`.
+ /// + /// Output only. Size of the file in bytes.
/// Included only in responses /// /// /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// - /// - /// Output only. Size of the file in bytes.
+ /// + /// 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. MIME type of the file.
/// Included only in responses /// - /// - /// Source of the File. - /// /// /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses @@ -156,46 +149,53 @@ public sealed partial class File /// Output only. The download uri of the `File`.
/// Included only in responses /// - /// - /// Output only. The timestamp of when the `File` was created.
+ /// + /// Output only. Processing state of the File.
/// Included only in responses /// /// /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` /// + /// + /// Metadata for a video `File`. + /// + /// + /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - global::Google.Gemini.FileState? state, - global::Google.Gemini.Status? error, - string? mimeType, - global::Google.Gemini.VideoFileMetadata? videoMetadata, - byte[]? sha256Hash, string? uri, - string? displayName, - string? sizeBytes, - string? updateTime, global::Google.Gemini.FileSource? source, + string? updateTime, + global::Google.Gemini.Status? error, + string? sizeBytes, + string? displayName, + string? createTime, + string? mimeType, string? expirationTime, string? downloadUri, - string? createTime, - string? name) + global::Google.Gemini.FileState? state, + string? name, + global::Google.Gemini.VideoFileMetadata? videoMetadata, + byte[]? sha256Hash) { - this.State = state; - this.Error = error; - this.MimeType = mimeType; - this.VideoMetadata = videoMetadata; - this.Sha256Hash = sha256Hash; this.Uri = uri; - this.DisplayName = displayName; - this.SizeBytes = sizeBytes; - this.UpdateTime = updateTime; this.Source = source; + this.UpdateTime = updateTime; + this.Error = error; + this.SizeBytes = sizeBytes; + this.DisplayName = displayName; + this.CreateTime = createTime; + this.MimeType = mimeType; this.ExpirationTime = expirationTime; this.DownloadUri = downloadUri; - this.CreateTime = createTime; + this.State = state; this.Name = name; + this.VideoMetadata = videoMetadata; + this.Sha256Hash = sha256Hash; } /// 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 c1f5a40..cb461fe 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FileSearch { - /// - /// Optional. The number of semantic retrieval chunks to retrieve. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } - /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// @@ -26,6 +20,12 @@ public sealed partial class FileSearch [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] public string? MetadataFilter { get; set; } + /// + /// Optional. The number of semantic retrieval chunks to retrieve. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FileSearch /// /// Initializes a new instance of the class. /// - /// - /// Optional. The number of semantic retrieval chunks to retrieve. - /// /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// /// /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// + /// + /// Optional. The number of semantic retrieval chunks to retrieve. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( - int? topK, global::System.Collections.Generic.IList? fileSearchStoreNames, - string? metadataFilter) + string? metadataFilter, + int? topK) { - this.TopK = topK; this.FileSearchStoreNames = fileSearchStoreNames; this.MetadataFilter = metadataFilter; + this.TopK = topK; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs index 7f3f2bf..674e0a1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs @@ -9,17 +9,18 @@ namespace Google.Gemini public sealed partial class FileSearchStore { /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// 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 number of documents in the `FileSearchStore` that are being processed.
@@ -28,13 +29,6 @@ public sealed partial class FileSearchStore [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`.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { 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 @@ -42,13 +36,6 @@ public sealed partial class FileSearchStore [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } - /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } - /// /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses @@ -63,6 +50,19 @@ public sealed partial class FileSearchStore [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] public string? FailedDocumentsCount { get; set; } + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -72,29 +72,22 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// Included only in responses /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// + /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// /// /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - /// - /// Output only. The 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.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
- /// Included only in responses - /// /// /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses @@ -103,27 +96,34 @@ public sealed partial class FileSearchStore /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + /// + /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? displayName, - string? createTime, - string? pendingDocumentsCount, string? sizeBytes, - string? name, string? updateTime, + string? pendingDocumentsCount, + string? name, string? activeDocumentsCount, - string? failedDocumentsCount) + string? failedDocumentsCount, + string? displayName, + string? createTime) { - this.DisplayName = displayName; - this.CreateTime = createTime; - this.PendingDocumentsCount = pendingDocumentsCount; this.SizeBytes = sizeBytes; - this.Name = name; this.UpdateTime = updateTime; + this.PendingDocumentsCount = pendingDocumentsCount; + this.Name = name; this.ActiveDocumentsCount = activeDocumentsCount; this.FailedDocumentsCount = failedDocumentsCount; + this.DisplayName = displayName; + this.CreateTime = createTime; } /// 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 fb31f04..d8965a5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FunctionCall { - /// - /// Optional. The function parameters and values in JSON object format. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("args")] - public object? Args { get; set; } - /// /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. /// @@ -26,6 +20,12 @@ public sealed partial class FunctionCall [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// Optional. The function parameters and values in JSON object format. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("args")] + public object? Args { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FunctionCall /// /// Initializes a new instance of the class. /// - /// - /// Optional. The function parameters and values in JSON object format. - /// /// /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( - object? args, string? id, - string? name) + string? name, + object? args) { - this.Args = args; this.Id = id; this.Name = name; + this.Args = args; } /// 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 3458291..3a8a67c 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 @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class FunctionDeclaration { - /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// 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; } - /// /// Required. A brief description of the function. /// @@ -33,11 +21,10 @@ public sealed partial class FunctionDeclaration public global::Google.Gemini.Schema? Response { get; set; } /// - /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. /// - [global::System.Text.Json.Serialization.JsonPropertyName("behavior")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter))] - public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. @@ -45,12 +32,25 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] public object? ResponseJsonSchema { get; set; } + /// + /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("behavior")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter))] + public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { get; set; } + /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] public global::Google.Gemini.Schema? Parameters { 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -60,46 +60,46 @@ public sealed partial class FunctionDeclaration /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. - /// - /// - /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. - /// /// /// Required. A brief description of the function. /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. + /// + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. /// /// /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. /// + /// + /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. + /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// + /// + /// 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`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( - string? name, - object? parametersJsonSchema, string? description, global::Google.Gemini.Schema? response, - global::Google.Gemini.FunctionDeclarationBehavior? behavior, + string? name, object? responseJsonSchema, - global::Google.Gemini.Schema? parameters) + global::Google.Gemini.FunctionDeclarationBehavior? behavior, + global::Google.Gemini.Schema? parameters, + object? parametersJsonSchema) { - this.Name = name; - this.ParametersJsonSchema = parametersJsonSchema; this.Description = description; this.Response = response; - this.Behavior = behavior; + this.Name = name; this.ResponseJsonSchema = responseJsonSchema; + this.Behavior = behavior; this.Parameters = parameters; + this.ParametersJsonSchema = parametersJsonSchema; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs index 2e19713..d1403d2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs @@ -8,24 +8,6 @@ namespace Google.Gemini /// public sealed partial class FunctionResponse { - /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - - /// - /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } - - /// - /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] - public bool? WillContinue { get; set; } - /// /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// @@ -39,12 +21,30 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } + /// + /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + + /// + /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } + /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] + public bool? WillContinue { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -54,41 +54,41 @@ public sealed partial class FunctionResponse /// /// Initializes a new instance of the class. /// - /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. - /// - /// - /// 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`. - /// /// /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// /// /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// + /// + /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. + /// + /// + /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. + /// /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// + /// + /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( - string? id, - object? response, - bool? willContinue, global::System.Collections.Generic.IList? parts, global::Google.Gemini.FunctionResponseScheduling? scheduling, - string? name) + string? id, + object? response, + string? name, + bool? willContinue) { - this.Id = id; - this.Response = response; - this.WillContinue = willContinue; this.Parts = parts; this.Scheduling = scheduling; + this.Id = id; + this.Response = response; this.Name = name; + this.WillContinue = willContinue; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs index 68b61c6..d727aa3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FunctionResponseBlob { - /// - /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - /// /// Raw bytes for media formats. /// [global::System.Text.Json.Serialization.JsonPropertyName("data")] public byte[]? Data { get; set; } + /// + /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class FunctionResponseBlob /// /// Initializes a new instance of the class. /// - /// - /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). - /// /// /// Raw bytes for media formats. /// + /// + /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponseBlob( - string? mimeType, - byte[]? data) + byte[]? data, + string? mimeType) { - this.MimeType = mimeType; this.Data = data; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs index 256b661..3e19eb9 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 @@ -9,16 +9,12 @@ namespace Google.Gemini public sealed partial class GenerateContentBatch { /// - /// Required. The user-defined name of this batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// Configures the input to the batch request. + /// Output only. The state of the batch.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputConfig? InputConfig { 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 was last updated.
@@ -28,19 +24,10 @@ public sealed partial class GenerateContentBatch public string? UpdateTime { get; set; } /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } - - /// - /// Output only. The state of the batch.
- /// Included only in responses + /// Stats about the 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("batchStats")] + public global::Google.Gemini.BatchStats? BatchStats { get; set; } /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
@@ -50,29 +37,42 @@ public sealed partial class GenerateContentBatch public string? Name { get; set; } /// - /// Output only. The time at which the batch was created.
+ /// 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; } + + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } + + /// + /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// - /// Stats about the batch. + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.BatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputConfig? InputConfig { get; set; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// Output only. The time at which the batch was created.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -89,41 +89,41 @@ public sealed partial class GenerateContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Required. The user-defined name of this batch. - /// - /// - /// Configures the input to the batch request. + /// + /// Output only. The state of the batch.
+ /// Included only in responses /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses - /// - /// - /// Output only. The state of the batch.
- /// Included only in responses + /// + /// Stats about the batch. /// /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - /// - /// Output only. The time at which the batch was created.
- /// Included only in responses - /// - /// - /// Stats about the batch. - /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// + /// + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses + /// + /// + /// Configures the input to the batch request. + /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// @@ -131,28 +131,28 @@ public sealed partial class GenerateContentBatch [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( - string? displayName, - global::Google.Gemini.InputConfig? inputConfig, - string? updateTime, - string? endTime, global::Google.Gemini.GenerateContentBatchState? state, - string? name, - string? createTime, + string? updateTime, global::Google.Gemini.BatchStats? batchStats, + string? name, string? priority, global::Google.Gemini.GenerateContentBatchOutput? output, + string? endTime, + global::Google.Gemini.InputConfig? inputConfig, + string? displayName, + string? createTime, string? model) { - this.DisplayName = displayName; - this.InputConfig = inputConfig; - this.UpdateTime = updateTime; - this.EndTime = endTime; this.State = state; - this.Name = name; - this.CreateTime = createTime; + this.UpdateTime = updateTime; this.BatchStats = batchStats; + this.Name = name; this.Priority = priority; this.Output = output; + this.EndTime = endTime; + this.InputConfig = inputConfig; + this.DisplayName = displayName; + this.CreateTime = createTime; this.Model = model; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs index ca3508f..12a631b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GenerateContentBatchOutput { + /// + /// The responses to the requests in the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] + public global::Google.Gemini.InlinedResponses? InlinedResponses { get; set; } + /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses @@ -15,12 +21,6 @@ public sealed partial class GenerateContentBatchOutput [global::System.Text.Json.Serialization.JsonPropertyName("responsesFile")] public string? ResponsesFile { get; set; } - /// - /// The responses to the requests in the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] - public global::Google.Gemini.InlinedResponses? InlinedResponses { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class GenerateContentBatchOutput /// /// Initializes a new instance of the class. /// + /// + /// The responses to the requests in the batch. + /// /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses /// - /// - /// The responses to the requests in the batch. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatchOutput( - string? responsesFile, - global::Google.Gemini.InlinedResponses? inlinedResponses) + global::Google.Gemini.InlinedResponses? inlinedResponses, + string? responsesFile) { - this.ResponsesFile = responsesFile; this.InlinedResponses = inlinedResponses; + this.ResponsesFile = responsesFile; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs index c8c31a0..63911b8 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 @@ -8,54 +8,30 @@ namespace Google.Gemini /// public sealed partial class GenerateContentRequest { - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } - - /// - /// 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; } - /// /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("store")] - public bool? Store { get; set; } - /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] public global::Google.Gemini.Content? SystemInstruction { get; set; } - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] - public global::System.Collections.Generic.IList? SafetySettings { 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; } + /// + /// 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; } + /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// @@ -69,6 +45,30 @@ 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; } + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } + + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } + + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] + public global::System.Collections.Generic.IList? SafetySettings { get; set; } + + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("store")] + public bool? Store { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -78,61 +78,61 @@ public sealed partial class GenerateContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// /// /// Optional. The 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}`. + /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( - global::System.Collections.Generic.IList? tools, - string? model, global::Google.Gemini.ToolConfig? toolConfig, - bool? store, global::Google.Gemini.Content? systemInstruction, - global::System.Collections.Generic.IList? contents, - global::System.Collections.Generic.IList? safetySettings, string? cachedContent, + string? model, global::Google.Gemini.GenerationConfig? generationConfig, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier) + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, + global::System.Collections.Generic.IList? contents, + global::System.Collections.Generic.IList? tools, + global::System.Collections.Generic.IList? safetySettings, + bool? store) { - this.Tools = tools; - this.Model = model; this.ToolConfig = toolConfig; - this.Store = store; this.SystemInstruction = systemInstruction; - this.Contents = contents; - this.SafetySettings = safetySettings; this.CachedContent = cachedContent; + this.Model = model; this.GenerationConfig = generationConfig; this.ServiceTier = serviceTier; + this.Contents = contents; + this.Tools = tools; + this.SafetySettings = safetySettings; + this.Store = store; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs index a491f77..52b7a81 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 @@ -20,13 +20,6 @@ public sealed partial class GenerateContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } - /// - /// Output only. The model version used to generate the response.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] - public string? ModelVersion { get; set; } - /// /// Output only. response_id is used to identify each response.
/// Included only in responses @@ -34,6 +27,12 @@ public sealed partial class GenerateContentResponse [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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] + public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } + /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// @@ -41,10 +40,11 @@ public sealed partial class GenerateContentResponse public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// Output only. The model version used to generate the response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] - public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] + public string? ModelVersion { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -61,19 +61,19 @@ public sealed partial class GenerateContentResponse /// /// Metadata on the generation request's token usage. /// - /// - /// Output only. The model version used to generate the response.
- /// Included only in responses - /// /// /// 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. + /// /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// - /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// + /// Output only. The model version used to generate the response.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] @@ -81,17 +81,17 @@ public sealed partial class GenerateContentResponse public GenerateContentResponse( global::System.Collections.Generic.IList? candidates, global::Google.Gemini.UsageMetadata? usageMetadata, - string? modelVersion, string? responseId, + global::Google.Gemini.ModelStatus? modelStatus, global::Google.Gemini.PromptFeedback? promptFeedback, - global::Google.Gemini.ModelStatus? modelStatus) + string? modelVersion) { this.Candidates = candidates; this.UsageMetadata = usageMetadata; - this.ModelVersion = modelVersion; this.ResponseId = responseId; - this.PromptFeedback = promptFeedback; this.ModelStatus = modelStatus; + this.PromptFeedback = promptFeedback; + this.ModelVersion = modelVersion; } /// 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 ab20404..91d9bac 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class GeneratedFile { - /// - /// MIME type of the generatedFile. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// @@ -34,6 +28,12 @@ public sealed partial class GeneratedFile [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// MIME type of the generatedFile. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -43,9 +43,6 @@ public sealed partial class GeneratedFile /// /// Initializes a new instance of the class. /// - /// - /// MIME type of the generatedFile. - /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// @@ -56,19 +53,22 @@ public sealed partial class GeneratedFile /// /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` /// + /// + /// MIME type of the generatedFile. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GeneratedFile( - string? mimeType, global::Google.Gemini.Status? error, global::Google.Gemini.GeneratedFileState? state, - string? name) + string? name, + string? mimeType) { - this.MimeType = mimeType; this.Error = error; this.State = state; this.Name = name; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs index 8a219e8..9dbd7b9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs @@ -9,35 +9,46 @@ 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. + /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] - public float? FrequencyPenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] + public global::System.Collections.Generic.IList? StopSequences { get; set; } /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Config for speech generation and transcription. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } /// - /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. + /// Optional. 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("responseMimeType")] - public string? ResponseMimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] + public float? PresencePenalty { get; set; } /// - /// Optional. If specified, the media resolution specified will be used. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("mediaResolution")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] - public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] + public global::Google.Gemini.Schema? ResponseSchema { get; set; } /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] + public bool? EnableEnhancedCivicAnswers { get; set; } + + /// + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { get; set; } /// /// Config for image generation features. @@ -52,46 +63,47 @@ public sealed partial class GenerationConfig public int? CandidateCount { get; set; } /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// Config for thinking features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] + public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } /// - /// Config for speech generation and transcription. + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// Optional. If specified, the media resolution specified will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] - public bool? EnableEnhancedCivicAnswers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mediaResolution")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] + public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } /// - /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Optional. The maximum number of tokens to 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("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] + public int? MaxOutputTokens { 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. 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("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] + public float? FrequencyPenalty { get; set; } /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// Optional. The 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("presencePenalty")] - public float? PresencePenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } /// /// Optional. 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]. @@ -100,34 +112,22 @@ public sealed partial class GenerationConfig 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). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { get; set; } - - /// - /// Optional. If true, export the logprobs results in response. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] - public bool? ResponseLogprobs { get; set; } - - /// - /// Config for thinking features. + /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] - public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] + public string? ResponseMimeType { get; set; } /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// - /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// Optional. If true, export the logprobs results in response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] - public global::System.Collections.Generic.IList? StopSequences { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] + public bool? ResponseLogprobs { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -138,20 +138,26 @@ 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 set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. /// - /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// Config for speech generation and transcription. /// - /// - /// Optional. 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. 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. If specified, the media resolution specified will be used. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// + /// 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. + /// + /// + /// 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. /// /// /// Config for image generation features. @@ -159,90 +165,84 @@ public sealed partial class GenerationConfig /// /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// + /// Config for thinking features. /// - /// - /// Config for speech generation and transcription. + /// + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// + /// Optional. If specified, the media resolution specified will be used. /// - /// - /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// - /// - /// Optional. The 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. 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. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// + /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// /// /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. + /// + /// + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// /// /// Optional. If true, export the logprobs results in response. /// - /// - /// Config for thinking features. - /// - /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. - /// - /// - /// 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. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - float? frequencyPenalty, - int? topK, - string? responseMimeType, - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, - object? responseJsonSchema, - global::Google.Gemini.ImageConfig? imageConfig, - int? candidateCount, - int? logprobs, + global::System.Collections.Generic.IList? stopSequences, global::Google.Gemini.SpeechConfig? speechConfig, + float? presencePenalty, + global::Google.Gemini.Schema? responseSchema, bool? enableEnhancedCivicAnswers, - float? topP, + int? seed, global::System.Collections.Generic.IList? responseModalities, - float? presencePenalty, + global::Google.Gemini.ImageConfig? imageConfig, + int? candidateCount, + global::Google.Gemini.ThinkingConfig? thinkingConfig, + int? topK, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, int? maxOutputTokens, + float? frequencyPenalty, + float? topP, + int? logprobs, float? temperature, - global::Google.Gemini.Schema? responseSchema, - bool? responseLogprobs, - global::Google.Gemini.ThinkingConfig? thinkingConfig, - int? seed, - global::System.Collections.Generic.IList? stopSequences) + string? responseMimeType, + object? responseJsonSchema, + bool? responseLogprobs) { - this.FrequencyPenalty = frequencyPenalty; - this.TopK = topK; - this.ResponseMimeType = responseMimeType; - this.MediaResolution = mediaResolution; - this.ResponseJsonSchema = responseJsonSchema; - this.ImageConfig = imageConfig; - this.CandidateCount = candidateCount; - this.Logprobs = logprobs; + this.StopSequences = stopSequences; this.SpeechConfig = speechConfig; + this.PresencePenalty = presencePenalty; + this.ResponseSchema = responseSchema; this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; - this.TopP = topP; + this.Seed = seed; this.ResponseModalities = responseModalities; - this.PresencePenalty = presencePenalty; + this.ImageConfig = imageConfig; + this.CandidateCount = candidateCount; + this.ThinkingConfig = thinkingConfig; + this.TopK = topK; + this.MediaResolution = mediaResolution; this.MaxOutputTokens = maxOutputTokens; + this.FrequencyPenalty = frequencyPenalty; + this.TopP = topP; + this.Logprobs = logprobs; this.Temperature = temperature; - this.ResponseSchema = responseSchema; + this.ResponseMimeType = responseMimeType; + this.ResponseJsonSchema = responseJsonSchema; this.ResponseLogprobs = responseLogprobs; - this.ThinkingConfig = thinkingConfig; - this.Seed = seed; - this.StopSequences = stopSequences; } /// 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 1c1b71b..2222d79 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 @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport { - /// - /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] - public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } - /// /// 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; } + /// + /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] + public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } + /// /// Segment of the content. /// @@ -42,12 +42,12 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Initializes a new instance of the class. /// - /// - /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). - /// /// /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// + /// + /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). + /// /// /// Segment of the content. /// @@ -59,13 +59,13 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( - global::System.Collections.Generic.IList? groundingChunkIndices, global::System.Collections.Generic.IList? confidenceScores, + global::System.Collections.Generic.IList? groundingChunkIndices, global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, global::System.Collections.Generic.IList? renderedParts) { - this.GroundingChunkIndices = groundingChunkIndices; this.ConfidenceScores = confidenceScores; + this.GroundingChunkIndices = groundingChunkIndices; this.Segment = segment; 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 eebb6fc..8a2acbc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaSegment { + /// + /// 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; } + /// /// The index of a Part object within its parent Content object. /// @@ -20,12 +26,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] public int? EndIndex { 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; } - /// /// The text corresponding to the segment from the response. /// @@ -41,15 +41,15 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// Initializes a new instance of the class. /// + /// + /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. + /// /// /// The index of a Part object within its parent Content object. /// /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// - /// - /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. - /// /// /// The text corresponding to the segment from the response. /// @@ -57,14 +57,14 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( + int? startIndex, int? partIndex, int? endIndex, - int? startIndex, string? text) { + this.StartIndex = startIndex; this.PartIndex = partIndex; this.EndIndex = endIndex; - this.StartIndex = startIndex; this.Text = text; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs index 3645446..bcc9b42 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GoogleSearch { - /// - /// Different types of search that can be enabled on the GoogleSearch tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("searchTypes")] - public global::Google.Gemini.SearchTypes? SearchTypes { get; set; } - /// /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. /// [global::System.Text.Json.Serialization.JsonPropertyName("timeRangeFilter")] public global::Google.Gemini.Interval? TimeRangeFilter { get; set; } + /// + /// Different types of search that can be enabled on the GoogleSearch tool. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("searchTypes")] + public global::Google.Gemini.SearchTypes? SearchTypes { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class GoogleSearch /// /// Initializes a new instance of the class. /// - /// - /// Different types of search that can be enabled on the GoogleSearch tool. - /// /// /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. /// + /// + /// Different types of search that can be enabled on the GoogleSearch tool. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleSearch( - global::Google.Gemini.SearchTypes? searchTypes, - global::Google.Gemini.Interval? timeRangeFilter) + global::Google.Gemini.Interval? timeRangeFilter, + global::Google.Gemini.SearchTypes? searchTypes) { - this.SearchTypes = searchTypes; this.TimeRangeFilter = timeRangeFilter; + this.SearchTypes = searchTypes; } /// 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 26223c8..fadfe83 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 c084740..be98450 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; } - /// /// 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 the web. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("web")] + public global::Google.Gemini.Web? Web { 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 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. - /// /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// + /// + /// Chunk from the web. + /// /// /// Chunk from context retrieved by the file search tool. /// + /// + /// Chunk from image search. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( - global::Google.Gemini.Web? web, - global::Google.Gemini.Image? image, global::Google.Gemini.Maps? maps, - global::Google.Gemini.RetrievedContext? retrievedContext) + global::Google.Gemini.Web? web, + global::Google.Gemini.RetrievedContext? retrievedContext, + global::Google.Gemini.Image? image) { - this.Web = web; - this.Image = image; this.Maps = maps; + this.Web = web; this.RetrievedContext = retrievedContext; + this.Image = image; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs index cc267c5..6492770 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 @@ -15,10 +15,10 @@ public sealed partial class GroundingChunkCustomMetadata public string? StringValue { get; set; } /// - /// A list of string values. + /// The key of the metadata. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.GroundingChunkStringList? StringListValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("key")] + public string? Key { get; set; } /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. @@ -27,10 +27,10 @@ public sealed partial class GroundingChunkCustomMetadata public float? NumericValue { get; set; } /// - /// The key of the metadata. + /// A list of string values. /// - [global::System.Text.Json.Serialization.JsonPropertyName("key")] - public string? Key { get; set; } + [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 @@ -44,28 +44,28 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Optional. The string value of the metadata. /// - /// - /// A list of string values. + /// + /// The key of the metadata. /// /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// - /// - /// The key of the metadata. + /// + /// A list of string values. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( string? stringValue, - global::Google.Gemini.GroundingChunkStringList? stringListValue, + string? key, float? numericValue, - string? key) + global::Google.Gemini.GroundingChunkStringList? stringListValue) { this.StringValue = stringValue; - this.StringListValue = stringListValue; - this.NumericValue = numericValue; this.Key = key; + this.NumericValue = numericValue; + 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 47a9ca2..d172909 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 @@ -8,30 +8,30 @@ 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; } - - /// - /// Image search queries used for grounding. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] - public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } - /// /// Google search entry point. /// [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } + /// + /// Metadata related to retrieval in the grounding flow. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] + public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } + /// /// List of grounding support. /// [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] public global::System.Collections.Generic.IList? GroundingSupports { get; set; } + /// + /// Web search queries for the following-up web search. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] + public global::System.Collections.Generic.IList? WebSearchQueries { 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. /// @@ -45,10 +45,10 @@ public sealed partial class GroundingMetadata public global::System.Collections.Generic.IList? GroundingChunks { get; set; } /// - /// Metadata related to retrieval in the grounding flow. + /// Image search queries used for grounding. /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] - public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] + public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } /// /// 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. - /// - /// - /// Image search queries used for grounding. - /// /// /// Google search entry point. /// + /// + /// Metadata related to retrieval in the grounding flow. + /// /// /// List of grounding support. /// + /// + /// Web search queries for the following-up web search. + /// /// /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. /// /// /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. /// - /// - /// Metadata related to retrieval in the grounding flow. + /// + /// Image search queries used for grounding. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::System.Collections.Generic.IList? webSearchQueries, - global::System.Collections.Generic.IList? imageSearchQueries, global::Google.Gemini.SearchEntryPoint? searchEntryPoint, + global::Google.Gemini.RetrievalMetadata? retrievalMetadata, global::System.Collections.Generic.IList? groundingSupports, + global::System.Collections.Generic.IList? webSearchQueries, string? googleMapsWidgetContextToken, global::System.Collections.Generic.IList? groundingChunks, - global::Google.Gemini.RetrievalMetadata? retrievalMetadata) + global::System.Collections.Generic.IList? imageSearchQueries) { - this.WebSearchQueries = webSearchQueries; - this.ImageSearchQueries = imageSearchQueries; this.SearchEntryPoint = searchEntryPoint; + this.RetrievalMetadata = retrievalMetadata; this.GroundingSupports = groundingSupports; + this.WebSearchQueries = webSearchQueries; this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; this.GroundingChunks = groundingChunks; - this.RetrievalMetadata = retrievalMetadata; + this.ImageSearchQueries = imageSearchQueries; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingPassageId.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingPassageId.g.cs index 6d7ea67..29ecf6d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingPassageId.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingPassageId.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class GroundingPassageId { /// - /// Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.
+ /// Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] - public int? PartIndex { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("passageId")] + public string? PassageId { get; set; } /// - /// Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.
+ /// Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("passageId")] - public string? PassageId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] + public int? PartIndex { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class GroundingPassageId /// /// Initializes a new instance of the class. /// - /// - /// Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.
- /// Included only in responses - /// /// /// Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.
/// Included only in responses /// + /// + /// Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingPassageId( - int? partIndex, - string? passageId) + string? passageId, + int? partIndex) { - this.PartIndex = partIndex; this.PassageId = passageId; + this.PartIndex = partIndex; } /// 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 048b51b..d7b344e 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 { - /// - /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("epochCount")] - public int? EpochCount { get; set; } - /// /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// @@ -32,6 +26,12 @@ public sealed partial class Hyperparameters [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] public float? LearningRateMultiplier { get; set; } + /// + /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("epochCount")] + public int? EpochCount { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,9 +41,6 @@ public sealed partial class Hyperparameters /// /// Initializes a new instance of the class. /// - /// - /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. - /// /// /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// @@ -53,19 +50,22 @@ public sealed partial class Hyperparameters /// /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// + /// + /// 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( - int? epochCount, int? batchSize, float? learningRate, - float? learningRateMultiplier) + float? learningRateMultiplier, + int? epochCount) { - this.EpochCount = epochCount; this.BatchSize = batchSize; this.LearningRate = learningRate; this.LearningRateMultiplier = learningRateMultiplier; + 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 d4d85b7..3b75994 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs @@ -14,12 +14,6 @@ public sealed partial class Image [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] public string? SourceUri { get; set; } - /// - /// The image asset URL. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] - public string? ImageUri { get; set; } - /// /// The title of the web page that the image is from. /// @@ -32,6 +26,12 @@ public sealed partial class Image [global::System.Text.Json.Serialization.JsonPropertyName("domain")] public string? Domain { get; set; } + /// + /// The image asset URL. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] + public string? ImageUri { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,28 +44,28 @@ public sealed partial class Image /// /// The web page URI for attribution. /// - /// - /// The 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". /// + /// + /// The image asset URL. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( string? sourceUri, - string? imageUri, string? title, - string? domain) + string? domain, + string? imageUri) { this.SourceUri = sourceUri; - this.ImageUri = imageUri; this.Title = title; this.Domain = domain; + this.ImageUri = imageUri; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs index 84e2562..5ed82a6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ImageConfig { - /// - /// Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("aspectRatio")] - public string? AspectRatio { get; set; } - /// /// Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`. /// [global::System.Text.Json.Serialization.JsonPropertyName("imageSize")] public string? ImageSize { get; set; } + /// + /// Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("aspectRatio")] + public string? AspectRatio { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ImageConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided. - /// /// /// Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`. /// + /// + /// Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImageConfig( - string? aspectRatio, - string? imageSize) + string? imageSize, + string? aspectRatio) { - this.AspectRatio = aspectRatio; this.ImageSize = imageSize; + this.AspectRatio = aspectRatio; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs index 0c6351f..16ecdee 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 { - /// - /// Custom metadata to be associated with the file. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } + /// + /// Custom metadata to be associated with the file. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + /// /// Required. The name of the `File` to import. Example: `files/abc-123` /// @@ -35,12 +35,12 @@ public sealed partial class ImportFileRequest /// /// Initializes a new instance of the class. /// - /// - /// Custom metadata to be associated with the file. - /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// + /// + /// Custom metadata to be associated with the file. + /// /// /// Required. The name of the `File` to import. Example: `files/abc-123` /// @@ -48,12 +48,12 @@ public sealed partial class ImportFileRequest [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImportFileRequest( - global::System.Collections.Generic.IList? customMetadata, global::Google.Gemini.ChunkingConfig? chunkingConfig, + global::System.Collections.Generic.IList? customMetadata, string? fileName) { - this.CustomMetadata = customMetadata; this.ChunkingConfig = chunkingConfig; + this.CustomMetadata = customMetadata; this.FileName = fileName; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs index a5d69c3..5849d8d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentResponse { + /// + /// The response to an `EmbedContentRequest`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.EmbedContentResponse? Response { get; set; } + /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// @@ -21,12 +27,6 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } - /// - /// The response to an `EmbedContentRequest`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.EmbedContentResponse? Response { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,6 +36,9 @@ public sealed partial class InlinedEmbedContentResponse /// /// Initializes a new instance of the class. /// + /// + /// The response to an `EmbedContentRequest`. + /// /// /// 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). /// @@ -43,20 +46,17 @@ public sealed partial class InlinedEmbedContentResponse /// Output only. The metadata associated with the request.
/// Included only in responses /// - /// - /// The response to an `EmbedContentRequest`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentResponse( + global::Google.Gemini.EmbedContentResponse? response, global::Google.Gemini.Status? error, - object? metadata, - global::Google.Gemini.EmbedContentResponse? response) + object? metadata) { + this.Response = response; this.Error = error; this.Metadata = metadata; - this.Response = response; } /// 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 9548e6f..d67554e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class InlinedResponse { - /// - /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.GenerateContentResponse? Response { get; set; } - /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -27,6 +21,12 @@ public sealed partial class InlinedResponse [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } + /// + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.GenerateContentResponse? Response { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,9 +36,6 @@ public sealed partial class InlinedResponse /// /// Initializes a new instance of the class. /// - /// - /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. - /// /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -46,17 +43,20 @@ public sealed partial class InlinedResponse /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// + /// + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedResponse( - global::Google.Gemini.GenerateContentResponse? response, object? metadata, - global::Google.Gemini.Status? error) + global::Google.Gemini.Status? error, + global::Google.Gemini.GenerateContentResponse? response) { - this.Response = response; this.Metadata = metadata; this.Error = error; + this.Response = response; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs index d8960e0..6b112b8 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 { - /// - /// 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; } + /// + /// List of cached contents. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContents")] + public global::System.Collections.Generic.IList? CachedContents { 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. /// - /// - /// 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. /// + /// + /// List of cached contents. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListCachedContentsResponse( - global::System.Collections.Generic.IList? cachedContents, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? cachedContents) { - this.CachedContents = cachedContents; this.NextPageToken = nextPageToken; + this.CachedContents = cachedContents; } /// 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 841ed88..b64b02e 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 00f5c2a..7b51e54 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFilesResponse { - /// - /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The list of `File`s. /// [global::System.Text.Json.Serialization.JsonPropertyName("files")] public global::System.Collections.Generic.IList? Files { get; set; } + /// + /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListFilesResponse /// /// Initializes a new instance of the class. /// - /// - /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. - /// /// /// The list of `File`s. /// + /// + /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFilesResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? files) + global::System.Collections.Generic.IList? files, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Files = files; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs index 3ac3fc7..761cfc9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListGeneratedFilesResponse { - /// - /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The list of `GeneratedFile`s. /// [global::System.Text.Json.Serialization.JsonPropertyName("generatedFiles")] public global::System.Collections.Generic.IList? GeneratedFiles { get; set; } + /// + /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListGeneratedFilesResponse /// /// Initializes a new instance of the class. /// - /// - /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. - /// /// /// The list of `GeneratedFile`s. /// + /// + /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListGeneratedFilesResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? generatedFiles) + global::System.Collections.Generic.IList? generatedFiles, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.GeneratedFiles = generatedFiles; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs index ba86db6..ade5a8e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ListOperationsResponse { + /// + /// The standard List next-page token. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// A list of operations that matches the specified filter in the request. /// @@ -20,12 +26,6 @@ public sealed partial class ListOperationsResponse [global::System.Text.Json.Serialization.JsonPropertyName("unreachable")] public global::System.Collections.Generic.IList? Unreachable { get; set; } - /// - /// The standard List next-page token. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ListOperationsResponse /// /// Initializes a new instance of the class. /// + /// + /// The standard List next-page token. + /// /// /// A list of operations that matches the specified filter in the request. /// /// /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. /// - /// - /// The standard List next-page token. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( + string? nextPageToken, global::System.Collections.Generic.IList? operations, - global::System.Collections.Generic.IList? unreachable, - string? nextPageToken) + global::System.Collections.Generic.IList? unreachable) { + this.NextPageToken = nextPageToken; this.Operations = operations; this.Unreachable = unreachable; - this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs index 3b174b5..c530ffd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListTunedModelsResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned Models. /// [global::System.Text.Json.Serialization.JsonPropertyName("tunedModels")] public global::System.Collections.Generic.IList? TunedModels { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListTunedModelsResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// /// /// The returned Models. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListTunedModelsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? tunedModels) + global::System.Collections.Generic.IList? tunedModels, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.TunedModels = tunedModels; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index f1918ea..5c9ddd1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class LogprobsResultCandidate { - /// - /// The candidate’s token id value. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] - public int? TokenId { get; set; } - /// /// The candidate’s token string value. /// @@ -26,6 +20,12 @@ public sealed partial class LogprobsResultCandidate [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] public float? LogProbability { get; set; } + /// + /// The candidate’s token id value. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] + public int? TokenId { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class LogprobsResultCandidate /// /// Initializes a new instance of the class. /// - /// - /// The candidate’s token id value. - /// /// /// The candidate’s token string value. /// /// /// The candidate's log probability. /// + /// + /// The candidate’s token id value. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( - int? tokenId, string? token, - float? logProbability) + float? logProbability, + int? tokenId) { - this.TokenId = tokenId; this.Token = token; this.LogProbability = logProbability; + this.TokenId = tokenId; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs index 5792ab4..61c4c3a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs @@ -8,6 +8,18 @@ namespace Google.Gemini /// public sealed partial class Maps { + /// + /// 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("placeId")] + public string? PlaceId { get; set; } + + /// + /// URI reference of the place. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } + /// /// Text description of the place answer. /// @@ -20,24 +32,12 @@ public sealed partial class Maps [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } - /// - /// URI reference of the place. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } - /// /// Title of the place. /// [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } - /// - /// 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("placeId")] - public string? PlaceId { 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. /// + /// + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. + /// + /// + /// URI reference of the place. + /// /// /// Text description of the place answer. /// /// /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. /// - /// - /// URI reference of the place. - /// /// /// Title of the place. /// - /// - /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( + string? placeId, + string? uri, string? text, global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, - string? uri, - string? title, - string? placeId) + string? title) { + this.PlaceId = placeId; + this.Uri = uri; this.Text = text; this.PlaceAnswerSources = placeAnswerSources; - this.Uri = uri; this.Title = title; - this.PlaceId = placeId; } /// 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 b9b3b6d..ddf8573 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 @@ -9,76 +9,70 @@ namespace Google.Gemini public sealed partial class 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("displayName")] - public string? DisplayName { get; set; } - - /// - /// A short description of the model. + /// Maximum number of output tokens available for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { 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. + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { get; set; } /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// The maximum temperature this model can use. /// - [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { 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` + /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] + public int? InputTokenLimit { get; set; } /// - /// Maximum number of output tokens available for this 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("outputTokenLimit")] - public int? OutputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// The maximum temperature this model can use. + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] - public float? MaxTemperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] - public string? BaseModelId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Maximum number of input tokens allowed for this model. + /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// A short description of the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// /// Whether the model supports thinking. @@ -86,6 +80,12 @@ public sealed partial class Model [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] public bool? Thinking { get; set; } + /// + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] + public string? BaseModelId { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -95,76 +95,76 @@ public sealed partial class Model /// /// Initializes a new instance of the class. /// - /// - /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. - /// - /// - /// A short description of the model. - /// - /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. - /// - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. - /// - /// - /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` - /// - /// - /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. - /// /// /// Maximum number of output tokens available for this model. /// + /// + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// /// /// The maximum temperature this model can use. /// - /// - /// Required. The 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`) + /// + /// 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. /// + /// + /// 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. + /// /// /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// + /// + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// + /// + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. + /// + /// + /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` + /// + /// + /// A short description of the model. + /// /// /// Whether the model supports thinking. /// + /// + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - string? displayName, - string? description, - float? topP, - global::System.Collections.Generic.IList? supportedGenerationMethods, - string? name, - int? topK, int? outputTokenLimit, - float? maxTemperature, - string? baseModelId, string? version, + float? maxTemperature, + float? topP, int? inputTokenLimit, + string? displayName, float? temperature, - bool? thinking) + global::System.Collections.Generic.IList? supportedGenerationMethods, + int? topK, + string? name, + string? description, + bool? thinking, + string? baseModelId) { - this.DisplayName = displayName; - this.Description = description; - this.TopP = topP; - this.SupportedGenerationMethods = supportedGenerationMethods; - this.Name = name; - this.TopK = topK; this.OutputTokenLimit = outputTokenLimit; - this.MaxTemperature = maxTemperature; - this.BaseModelId = baseModelId; this.Version = version; + this.MaxTemperature = maxTemperature; + this.TopP = topP; this.InputTokenLimit = inputTokenLimit; + this.DisplayName = displayName; this.Temperature = temperature; + this.SupportedGenerationMethods = supportedGenerationMethods; + this.TopK = topK; + this.Name = name; + this.Description = description; this.Thinking = thinking; + this.BaseModelId = baseModelId; } /// 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 bb3395c..10303d1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ModelStatus { + /// + /// A message explaining the model status. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("message")] + public string? Message { get; set; } + /// /// The stage of the underlying model. /// @@ -21,12 +27,6 @@ public sealed partial class ModelStatus [global::System.Text.Json.Serialization.JsonPropertyName("retirementTime")] public string? RetirementTime { get; set; } - /// - /// A message explaining the model status. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("message")] - public string? Message { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ModelStatus /// /// Initializes a new instance of the class. /// + /// + /// A message explaining the model status. + /// /// /// The stage of the underlying model. /// /// /// The time at which the model will be retired. /// - /// - /// A message explaining the model status. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( + string? message, global::Google.Gemini.ModelStatusModelStage? modelStage, - string? retirementTime, - string? message) + string? retirementTime) { + this.Message = message; this.ModelStage = modelStage; this.RetirementTime = retirementTime; - this.Message = message; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs index 7e51fa7..f976d66 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 @@ -26,18 +26,18 @@ public sealed partial class Operation [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } - /// /// 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; } + /// + /// 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 /// @@ -56,12 +56,12 @@ public sealed partial class Operation /// /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - /// - /// 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). /// + /// + /// 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 @@ -69,14 +69,14 @@ public Operation( bool? done, object? response, string? name, - object? metadata, - global::Google.Gemini.Status? error) + global::Google.Gemini.Status? error, + object? metadata) { this.Done = done; this.Response = response; this.Name = name; - this.Metadata = metadata; this.Error = error; + 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 bd4fd49..65d99bb 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 +11,16 @@ namespace Google.Gemini public sealed partial class Part { /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] - public object? PartMetadata { get; set; } - - /// - /// Inline text. + /// 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("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] + public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// 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("thoughtSignature")] - public byte[]? ThoughtSignature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] + public object? PartMetadata { 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`. @@ -42,22 +36,16 @@ public sealed partial class Part public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } /// - /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] - public global::Google.Gemini.ToolCall? ToolCall { get; set; } - - /// - /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] - public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] + public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } /// - /// Optional. Indicates if the part is thought from the model. + /// Inline text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thought")] - public bool? Thought { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. @@ -66,16 +54,16 @@ public sealed partial class Part public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { 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. + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] - public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] + public byte[]? ThoughtSignature { get; set; } /// /// URI based data. @@ -89,6 +77,18 @@ public sealed partial class Part [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] public global::Google.Gemini.Blob? InlineData { get; set; } + /// + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + + /// + /// Optional. Indicates if the part is thought from the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("thought")] + public bool? Thought { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -98,35 +98,29 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// + /// + /// 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. /// - /// - /// Inline text. - /// - /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. - /// /// /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. /// - /// - /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. - /// - /// - /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. + /// + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// - /// - /// Optional. Indicates if the part is thought from the model. + /// + /// Inline text. /// /// /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// + /// 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. + /// + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// /// /// URI based data. @@ -134,35 +128,41 @@ public sealed partial class Part /// /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// + /// + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// + /// + /// Optional. Indicates if the part is thought from the model. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( + global::Google.Gemini.FunctionResponse? functionResponse, object? partMetadata, - string? text, - byte[]? thoughtSignature, global::Google.Gemini.ToolResponse? toolResponse, - global::Google.Gemini.ToolCall? toolCall, - global::Google.Gemini.FunctionResponse? functionResponse, - bool? thought, - global::Google.Gemini.CodeExecutionResult? codeExecutionResult, - global::Google.Gemini.FunctionCall? functionCall, global::Google.Gemini.ExecutableCode? executableCode, + string? text, + global::Google.Gemini.CodeExecutionResult? codeExecutionResult, + global::Google.Gemini.ToolCall? toolCall, + byte[]? thoughtSignature, global::Google.Gemini.FileData? fileData, - global::Google.Gemini.Blob? inlineData) + global::Google.Gemini.Blob? inlineData, + global::Google.Gemini.FunctionCall? functionCall, + bool? thought) { + this.FunctionResponse = functionResponse; this.PartMetadata = partMetadata; - this.Text = text; - this.ThoughtSignature = thoughtSignature; this.ToolResponse = toolResponse; - this.ToolCall = toolCall; - this.FunctionResponse = functionResponse; - this.Thought = thought; - this.CodeExecutionResult = codeExecutionResult; - this.FunctionCall = functionCall; this.ExecutableCode = executableCode; + this.Text = text; + this.CodeExecutionResult = codeExecutionResult; + this.ToolCall = toolCall; + this.ThoughtSignature = thoughtSignature; this.FileData = fileData; this.InlineData = inlineData; + this.FunctionCall = functionCall; + this.Thought = thought; } /// 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 9e68a14..44d3091 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 @@ -15,6 +15,12 @@ public sealed partial class Permission [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] + public string? EmailAddress { get; set; } + /// /// Required. The role granted by this permission. /// @@ -22,12 +28,6 @@ public sealed partial class Permission [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter))] public global::Google.Gemini.PermissionRole? Role { get; set; } - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] - public string? EmailAddress { get; set; } - /// /// Optional. Immutable. The type of the grantee. /// @@ -48,12 +48,12 @@ 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. - /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// /// Optional. Immutable. The type of the grantee. /// @@ -62,13 +62,13 @@ public sealed partial class Permission #endif public Permission( string? name, - global::Google.Gemini.PermissionRole? role, string? emailAddress, + global::Google.Gemini.PermissionRole? role, global::Google.Gemini.PermissionGranteeType? granteeType) { this.Name = name; - this.Role = role; this.EmailAddress = emailAddress; + this.Role = role; this.GranteeType = granteeType; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs index 3dcf1c7..1d723d0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class RetrievalConfig { - /// - /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] - public string? LanguageCode { get; set; } - /// /// An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. /// [global::System.Text.Json.Serialization.JsonPropertyName("latLng")] public global::Google.Gemini.LatLng? LatLng { get; set; } + /// + /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] + public string? LanguageCode { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class RetrievalConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). - /// /// /// An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. /// + /// + /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievalConfig( - string? languageCode, - global::Google.Gemini.LatLng? latLng) + global::Google.Gemini.LatLng? latLng, + string? languageCode) { - this.LanguageCode = languageCode; this.LatLng = latLng; + this.LanguageCode = languageCode; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs index 5b848a9..d2e2a9e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs @@ -8,24 +8,18 @@ namespace Google.Gemini /// public sealed partial class RetrievedContext { - /// - /// Optional. Text of the chunk. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } - - /// - /// Optional. User-provided metadata about the retrieved context. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - /// /// Optional. URI reference of the semantic retrieval document. /// [global::System.Text.Json.Serialization.JsonPropertyName("uri")] public string? Uri { get; set; } + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] + public string? FileSearchStore { get; set; } + /// /// Optional. Title of the document. /// @@ -33,10 +27,16 @@ public sealed partial class RetrievedContext public string? Title { get; set; } /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// Optional. Text of the chunk. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] - public string? FileSearchStore { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } + + /// + /// Optional. User-provided metadata about the retrieved context. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class RetrievedContext /// /// Initializes a new instance of the class. /// - /// - /// Optional. Text of the chunk. - /// - /// - /// Optional. User-provided metadata about the retrieved context. - /// /// /// Optional. URI reference of the semantic retrieval document. /// + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// /// /// Optional. Title of the document. /// - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// + /// Optional. Text of the chunk. + /// + /// + /// Optional. User-provided metadata about the retrieved context. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( - string? text, - global::System.Collections.Generic.IList? customMetadata, string? uri, + string? fileSearchStore, string? title, - string? fileSearchStore) + string? text, + global::System.Collections.Generic.IList? customMetadata) { - this.Text = text; - this.CustomMetadata = customMetadata; this.Uri = uri; - this.Title = title; this.FileSearchStore = fileSearchStore; + this.Title = title; + this.Text = text; + this.CustomMetadata = customMetadata; } /// 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 550780d..dcbe94b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs @@ -14,18 +14,18 @@ public sealed partial class ReviewSnippet [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] public string? ReviewId { get; set; } - /// - /// A link that corresponds to the user review on Google Maps. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsUri")] - public string? GoogleMapsUri { get; set; } - /// /// Title of the review. /// [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } + /// + /// A link that corresponds to the user review on Google Maps. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsUri")] + public string? GoogleMapsUri { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ReviewSnippet /// /// The ID of the review snippet. /// - /// - /// A link that corresponds to the user review on Google Maps. - /// /// /// Title of the review. /// + /// + /// A link that corresponds to the user review on Google Maps. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ReviewSnippet( string? reviewId, - string? googleMapsUri, - string? title) + string? title, + string? googleMapsUri) { this.ReviewId = reviewId; - this.GoogleMapsUri = googleMapsUri; this.Title = title; + this.GoogleMapsUri = googleMapsUri; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs index d173960..1575df9 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 +8,12 @@ namespace Google.Gemini /// public sealed partial class SafetyRating { + /// + /// Was this content blocked because of this rating? + /// + [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] + public bool? Blocked { get; set; } + /// /// Required. The category for this rating. /// @@ -22,12 +28,6 @@ public sealed partial class SafetyRating [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter))] public global::Google.Gemini.SafetyRatingProbability? Probability { get; set; } - /// - /// Was this content blocked because of this rating? - /// - [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] - public bool? Blocked { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -37,26 +37,26 @@ public sealed partial class SafetyRating /// /// Initializes a new instance of the class. /// + /// + /// Was this content blocked because of this rating? + /// /// /// Required. The category for this rating. /// /// /// Required. The probability of harm for this content. /// - /// - /// Was this content blocked because of this rating? - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( + bool? blocked, global::Google.Gemini.SafetyRatingCategory? category, - global::Google.Gemini.SafetyRatingProbability? probability, - bool? blocked) + global::Google.Gemini.SafetyRatingProbability? probability) { + this.Blocked = blocked; this.Category = category; this.Probability = probability; - this.Blocked = blocked; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs index 77c5a29..ba09cc0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class SafetySetting { - /// - /// Required. Controls the probability threshold at which harm is blocked. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("threshold")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter))] - public global::Google.Gemini.SafetySettingThreshold? Threshold { get; set; } - /// /// Required. The category for this setting. /// @@ -22,6 +15,13 @@ public sealed partial class SafetySetting [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter))] public global::Google.Gemini.SafetySettingCategory? Category { get; set; } + /// + /// Required. Controls the probability threshold at which harm is blocked. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("threshold")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter))] + public global::Google.Gemini.SafetySettingThreshold? Threshold { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -31,21 +31,21 @@ public sealed partial class SafetySetting /// /// Initializes a new instance of the class. /// - /// - /// Required. Controls the probability threshold at which harm is blocked. - /// /// /// Required. The category for this setting. /// + /// + /// Required. Controls the probability threshold at which harm is blocked. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetySetting( - global::Google.Gemini.SafetySettingThreshold? threshold, - global::Google.Gemini.SafetySettingCategory? category) + global::Google.Gemini.SafetySettingCategory? category, + global::Google.Gemini.SafetySettingThreshold? threshold) { - this.Threshold = threshold; this.Category = category; + this.Threshold = threshold; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs index 72292bd..a7beccc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs @@ -9,52 +9,64 @@ namespace Google.Gemini public sealed partial class Schema { /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// Optional. Minimum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] + public string? MinItems { get; set; } /// - /// Optional. 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] - public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + public string? MaxItems { get; set; } /// - /// Optional. Required properties of Type.OBJECT. + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] + public double? Minimum { get; set; } /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] - public string? Pattern { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] + public string? MinLength { get; set; } /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - [global::System.Text.Json.Serialization.JsonPropertyName("format")] - public string? Format { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Optional. Indicates if the value may be null. + /// Optional. Maximum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] - public bool? Nullable { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] + public string? MaxProperties { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] - public double? Minimum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] + public global::System.Collections.Generic.IList? PropertyOrdering { 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; } /// /// Required. Data type. @@ -64,40 +76,40 @@ 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. Example of the object. Will only populated when the object is the root. + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("example")] - public object? Example { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { get; set; } /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// Optional. Minimum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { get; set; } /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// Optional. Maximum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] + public string? MaxLength { 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. Pattern of the Type.STRING to restrict a string to a regular expression. /// - [global::System.Text.Json.Serialization.JsonPropertyName("items")] - public global::Google.Gemini.Schema? Items { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// Optional. Indicates if the value may be null. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] - public string? MinLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] + public bool? Nullable { get; set; } /// /// Optional. The value should be validated against any (one or more) of the subschemas in the list. @@ -106,40 +118,28 @@ public sealed partial class Schema public global::System.Collections.Generic.IList? AnyOf { 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. Maximum number of the elements for Type.ARRAY. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] - public string? MaxItems { get; set; } - - /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// Optional. Required properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] - public string? MinItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// - /// Optional. Maximum length of the Type.STRING + /// Optional. The title of the schema. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// Optional. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] - public string? MaxProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { 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. Example of the object. Will only populated when the object is the root. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enum")] - public global::System.Collections.Generic.IList? Enum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("example")] + public object? Example { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -150,38 +150,17 @@ public sealed partial class Schema /// /// Initializes a new instance of the class. /// - /// - /// Optional. Minimum number of the properties for Type.OBJECT. - /// - /// - /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. - /// - /// - /// Optional. Required properties of Type.OBJECT. - /// - /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. - /// - /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. - /// - /// - /// Optional. Properties of Type.OBJECT. + /// + /// Optional. Minimum number of the elements for Type.ARRAY. /// - /// - /// Optional. Indicates if the value may be null. + /// + /// Optional. Maximum number of the elements for Type.ARRAY. /// /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - /// - /// Required. Data type. - /// - /// - /// Optional. The title of the schema. - /// - /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// /// /// 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. @@ -189,82 +168,103 @@ public sealed partial class Schema /// /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// Optional. Maximum number of the properties for Type.OBJECT. /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// + /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. /// - /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// + /// Optional. 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. Maximum number of the elements for Type.ARRAY. + /// + /// Required. Data type. /// - /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// + /// + /// Optional. Minimum number of the properties for Type.OBJECT. /// /// /// Optional. Maximum length of the Type.STRING /// - /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// + /// 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. Indicates if the value may be null. + /// + /// + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// + /// + /// Optional. Required properties of Type.OBJECT. + /// + /// + /// Optional. The title of the schema. + /// + /// + /// Optional. Properties of Type.OBJECT. + /// + /// + /// Optional. Example of the object. Will only populated when the object is the root. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - string? minProperties, - global::System.Collections.Generic.IList? propertyOrdering, - global::System.Collections.Generic.IList? required, - string? pattern, - string? format, - global::System.Collections.Generic.Dictionary? properties, - bool? nullable, + string? minItems, + string? maxItems, double? minimum, - global::Google.Gemini.SchemaType? type, - string? title, - object? example, + string? minLength, object? @default, string? description, - global::Google.Gemini.Schema? items, - string? minLength, - global::System.Collections.Generic.IList? anyOf, + string? maxProperties, + global::System.Collections.Generic.IList? propertyOrdering, + global::System.Collections.Generic.IList? @enum, double? maximum, - string? maxItems, - string? minItems, + global::Google.Gemini.SchemaType? type, + global::Google.Gemini.Schema? items, + string? format, + string? minProperties, string? maxLength, - string? maxProperties, - global::System.Collections.Generic.IList? @enum) + string? pattern, + bool? nullable, + global::System.Collections.Generic.IList? anyOf, + global::System.Collections.Generic.IList? required, + string? title, + global::System.Collections.Generic.Dictionary? properties, + object? example) { - this.MinProperties = minProperties; - this.PropertyOrdering = propertyOrdering; - this.Required = required; - this.Pattern = pattern; - this.Format = format; - this.Properties = properties; - this.Nullable = nullable; + this.MinItems = minItems; + this.MaxItems = maxItems; this.Minimum = minimum; - this.Type = type; - this.Title = title; - this.Example = example; + this.MinLength = minLength; this.Default = @default; this.Description = description; - this.Items = items; - this.MinLength = minLength; - this.AnyOf = anyOf; - this.Maximum = maximum; - this.MaxItems = maxItems; - this.MinItems = minItems; - this.MaxLength = maxLength; this.MaxProperties = maxProperties; + this.PropertyOrdering = propertyOrdering; this.Enum = @enum; + this.Maximum = maximum; + this.Type = type; + this.Items = items; + this.Format = format; + this.MinProperties = minProperties; + this.MaxLength = maxLength; + this.Pattern = pattern; + this.Nullable = nullable; + this.AnyOf = anyOf; + this.Required = required; + this.Title = title; + this.Properties = properties; + this.Example = example; } /// 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 370880f..f1ef065 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 bef80e2..d7b2aff 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SpeechConfig { - /// - /// 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; } + /// /// The configuration for the multi-speaker setup. /// @@ -35,12 +35,12 @@ public sealed partial class SpeechConfig /// /// Initializes a new instance of the class. /// - /// - /// The configuration for the voice to use. - /// /// /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// + /// + /// The configuration for the voice to use. + /// /// /// The configuration for the multi-speaker setup. /// @@ -48,12 +48,12 @@ public sealed partial class SpeechConfig [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( - global::Google.Gemini.VoiceConfig? voiceConfig, string? languageCode, + global::Google.Gemini.VoiceConfig? voiceConfig, global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig) { - this.VoiceConfig = voiceConfig; this.LanguageCode = languageCode; + this.VoiceConfig = voiceConfig; this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs index cbf9b2a..bb5c3a0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class StreamableHttpTransport { - /// - /// HTTP timeout for regular operations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] - public string? Timeout { get; set; } - /// /// Timeout for SSE read operations. /// [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] public string? SseReadTimeout { get; set; } + /// + /// Whether to close the client session when the transport closes. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] + public bool? TerminateOnClose { get; set; } + /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// @@ -27,10 +27,10 @@ public sealed partial class StreamableHttpTransport public global::System.Collections.Generic.Dictionary? Headers { get; set; } /// - /// Whether to close the client session when the transport closes. + /// HTTP timeout for regular operations. /// - [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] - public bool? TerminateOnClose { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] + public string? Timeout { get; set; } /// /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" @@ -47,17 +47,17 @@ 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. + /// /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// - /// - /// Whether to close the client session when the transport closes. + /// + /// HTTP timeout for regular operations. /// /// /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" @@ -66,16 +66,16 @@ public sealed partial class StreamableHttpTransport [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( - string? timeout, string? sseReadTimeout, - global::System.Collections.Generic.Dictionary? headers, bool? terminateOnClose, + global::System.Collections.Generic.Dictionary? headers, + string? timeout, string? url) { - this.Timeout = timeout; this.SseReadTimeout = sseReadTimeout; - this.Headers = headers; this.TerminateOnClose = terminateOnClose; + this.Headers = headers; + this.Timeout = timeout; this.Url = url; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs index b60b285..7d3fc99 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ThinkingConfig { - /// - /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] - public bool? IncludeThoughts { get; set; } - /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error. /// @@ -27,6 +21,12 @@ public sealed partial class ThinkingConfig [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] public int? ThinkingBudget { get; set; } + /// + /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] + public bool? IncludeThoughts { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ThinkingConfig /// /// Initializes a new instance of the class. /// - /// - /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. - /// /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error. /// /// /// The number of thoughts tokens that the model should generate. /// + /// + /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ThinkingConfig( - bool? includeThoughts, global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel, - int? thinkingBudget) + int? thinkingBudget, + bool? includeThoughts) { - this.IncludeThoughts = includeThoughts; this.ThinkingLevel = thinkingLevel; this.ThinkingBudget = thinkingBudget; + this.IncludeThoughts = includeThoughts; } /// 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 5598b74..0bd63eb 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class Tool { /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] - public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } - - /// - /// Tool to support URL context retrieval. + /// Computer Use tool type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] - public global::Google.Gemini.UrlContext? UrlContext { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] + public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } /// /// The GoogleMaps Tool that provides geospatial context for the user's query. @@ -32,30 +26,36 @@ public sealed partial class Tool [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } - /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] - public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } - /// /// Optional. MCP Servers to connect to. /// [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] public global::System.Collections.Generic.IList? McpServers { get; set; } - /// - /// Computer Use tool type. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] - public global::Google.Gemini.ComputerUse? ComputerUse { 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. /// [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } + /// + /// Tool to support URL context retrieval. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] + public global::Google.Gemini.UrlContext? UrlContext { get; set; } + + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] + public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } + + /// + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] + public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } + /// /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// @@ -71,11 +71,8 @@ public sealed partial class Tool /// /// Initializes a new instance of the class. /// - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// - /// - /// Tool to support URL context retrieval. + /// + /// Computer Use tool type. /// /// /// The GoogleMaps Tool that provides geospatial context for the user's query. @@ -83,18 +80,21 @@ public sealed partial class Tool /// /// Tool to retrieve public web data for grounding, powered by Google. /// - /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. - /// /// /// Optional. MCP Servers to connect to. /// - /// - /// Computer Use tool type. - /// /// /// 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 support URL context retrieval. + /// + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + /// + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// /// /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// @@ -102,24 +102,24 @@ public sealed partial class Tool [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( - global::Google.Gemini.GoogleSearch? googleSearch, - global::Google.Gemini.UrlContext? urlContext, + global::Google.Gemini.ComputerUse? computerUse, global::Google.Gemini.GoogleMaps? googleMaps, global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, - global::Google.Gemini.CodeExecution? codeExecution, global::System.Collections.Generic.IList? mcpServers, - global::Google.Gemini.ComputerUse? computerUse, global::System.Collections.Generic.IList? functionDeclarations, + global::Google.Gemini.UrlContext? urlContext, + global::Google.Gemini.GoogleSearch? googleSearch, + global::Google.Gemini.CodeExecution? codeExecution, global::Google.Gemini.FileSearch? fileSearch) { - this.GoogleSearch = googleSearch; - this.UrlContext = urlContext; + this.ComputerUse = computerUse; this.GoogleMaps = googleMaps; this.GoogleSearchRetrieval = googleSearchRetrieval; - this.CodeExecution = codeExecution; this.McpServers = mcpServers; - this.ComputerUse = computerUse; this.FunctionDeclarations = functionDeclarations; + this.UrlContext = urlContext; + this.GoogleSearch = googleSearch; + this.CodeExecution = codeExecution; this.FileSearch = fileSearch; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs index eb31d18..c04b491 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ToolCall { - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Required. The type of tool that was called. /// @@ -27,6 +21,12 @@ public sealed partial class ToolCall [global::System.Text.Json.Serialization.JsonPropertyName("args")] public object? Args { get; set; } + /// + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ToolCall /// /// Initializes a new instance of the class. /// - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. - /// /// /// Required. The type of tool that was called. /// /// /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} /// + /// + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolCall( - string? id, global::Google.Gemini.ToolCallToolType? toolType, - object? args) + object? args, + string? id) { - this.Id = id; this.ToolType = toolType; this.Args = args; + this.Id = id; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs index 1a5f51e..8a47cf0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class ToolResponse { - /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] - public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } - /// /// Optional. The identifier of the tool call this response is for. /// @@ -27,6 +20,13 @@ public sealed partial class ToolResponse [global::System.Text.Json.Serialization.JsonPropertyName("response")] public object? Response { get; set; } + /// + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] + public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ToolResponse /// /// Initializes a new instance of the class. /// - /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. - /// /// /// Optional. The identifier of the tool call this response is for. /// /// /// Optional. The tool response. /// + /// + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolResponse( - global::Google.Gemini.ToolResponseToolType? toolType, string? id, - object? response) + object? response, + global::Google.Gemini.ToolResponseToolType? toolType) { - this.ToolType = toolType; this.Id = id; this.Response = response; + this.ToolType = toolType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs index 8912e03..7fa2aef 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 @@ -9,43 +9,50 @@ namespace Google.Gemini public sealed partial class TunedModel { /// - /// Output only. The state of the tuned model.
- /// 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("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("baseModel")] + public string? BaseModel { 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 timestamp when this model was updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// 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`
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { 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. + /// Optional. A short description of this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { 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; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] + public global::Google.Gemini.TunedModelState? State { get; set; } /// - /// Optional. List of project numbers that have read access to the tuned model. + /// 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("readerProjectNumbers")] - public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } + + /// + /// Tuning tasks that create tuned models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. @@ -54,10 +61,10 @@ public sealed partial class TunedModel public string? DisplayName { 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; } /// /// Output only. The timestamp when this model was created.
@@ -66,19 +73,6 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { get; set; } - /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { 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; } - /// /// Tuned model as a source for training a new model. /// @@ -86,10 +80,16 @@ public sealed partial class TunedModel public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// Optional. List of project numbers that have read access to the tuned model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] - public string? BaseModel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] + public global::System.Collections.Generic.IList? ReaderProjectNumbers { 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; } /// /// Additional properties that are not explicitly defined in the schema @@ -100,80 +100,80 @@ public sealed partial class TunedModel /// /// Initializes a new instance of the class. /// - /// - /// Output only. The state of the tuned model.
+ /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// + /// Output only. The timestamp when this model was updated.
/// Included only in responses /// - /// - /// Optional. 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 /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. A short description of this model. + /// + /// + /// Output only. The state of the tuned model.
+ /// 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. /// - /// - /// Output only. The timestamp when this model was updated.
- /// Included only in responses - /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. 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. /// /// /// Output only. The timestamp when this model was created.
/// Included only in responses /// - /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses - /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// /// /// Tuned model as a source for training a new model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( + string? baseModel, + string? updateTime, + string? name, + string? description, global::Google.Gemini.TunedModelState? state, - float? temperature, - global::Google.Gemini.TuningTask? tuningTask, float? topP, - string? updateTime, - global::System.Collections.Generic.IList? readerProjectNumbers, + global::Google.Gemini.TuningTask? tuningTask, string? displayName, - string? description, + float? temperature, string? createTime, - string? name, - int? topK, global::Google.Gemini.TunedModelSource? tunedModelSource, - string? baseModel) + global::System.Collections.Generic.IList? readerProjectNumbers, + int? topK) { + this.BaseModel = baseModel; + this.UpdateTime = updateTime; + this.Name = name; + this.Description = description; this.State = state; - this.Temperature = temperature; - this.TuningTask = tuningTask; this.TopP = topP; - this.UpdateTime = updateTime; - this.ReaderProjectNumbers = readerProjectNumbers; + this.TuningTask = tuningTask; this.DisplayName = displayName; - this.Description = description; + this.Temperature = temperature; this.CreateTime = createTime; - this.Name = name; - this.TopK = topK; this.TunedModelSource = tunedModelSource; - this.BaseModel = baseModel; + this.ReaderProjectNumbers = readerProjectNumbers; + this.TopK = topK; } /// 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 2735f73..c2522df 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class TuningSnapshot { /// - /// Output only. The mean loss of the training examples for this step.
+ /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] - public float? MeanLoss { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] + public string? ComputeTime { get; set; } /// /// Output only. The tuning step.
@@ -23,18 +23,18 @@ public sealed partial class TuningSnapshot public int? Step { get; set; } /// - /// Output only. The epoch this step was part of.
+ /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] - public int? Epoch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] + public float? MeanLoss { get; set; } /// - /// Output only. The timestamp when this metric was computed.
+ /// Output only. The epoch this step was part of.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] - public string? ComputeTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] + public int? Epoch { 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 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 tuning step.
/// Included only in responses /// - /// - /// Output only. The epoch this step was part of.
+ /// + /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// - /// - /// Output only. The timestamp when this metric was computed.
+ /// + /// Output only. The epoch this step was part of.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( - float? meanLoss, + string? computeTime, int? step, - int? epoch, - string? computeTime) + float? meanLoss, + int? epoch) { - this.MeanLoss = meanLoss; + this.ComputeTime = computeTime; 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 1a18f9b..aa6ec43 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class TuningTask { /// - /// Output only. The timestamp when tuning this model started.
+ /// Output only. The timestamp when tuning this model completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] - public string? StartTime { get; set; } + [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 @@ -22,18 +22,18 @@ public sealed partial class TuningTask public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } /// - /// Output only. Metrics collected during tuning.
+ /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] - public global::System.Collections.Generic.IList? Snapshots { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] + public string? StartTime { get; set; } /// - /// Output only. The timestamp when tuning this model completed.
+ /// Output only. Metrics collected during tuning.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] - public string? CompleteTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] + public global::System.Collections.Generic.IList? Snapshots { get; set; } /// /// Dataset for training or validation. @@ -50,19 +50,19 @@ public sealed partial class TuningTask /// /// Initializes a new instance of the class. /// - /// - /// Output only. The timestamp when tuning this model started.
+ /// + /// 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 /// - /// - /// Output only. Metrics collected during tuning.
+ /// + /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// - /// - /// Output only. The timestamp when tuning this model completed.
+ /// + /// Output only. Metrics collected during tuning.
/// Included only in responses /// /// @@ -72,16 +72,16 @@ public sealed partial class TuningTask [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( - string? startTime, + string? completeTime, global::Google.Gemini.Hyperparameters? hyperparameters, + string? startTime, global::System.Collections.Generic.IList? snapshots, - string? completeTime, global::Google.Gemini.Dataset? trainingData) { - this.StartTime = startTime; + this.CompleteTime = completeTime; this.Hyperparameters = hyperparameters; + this.StartTime = startTime; this.Snapshots = snapshots; - this.CompleteTime = completeTime; this.TrainingData = trainingData; } 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 0db85dc..c8c4dc7 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 @@ -20,18 +20,18 @@ public sealed partial class UploadToFileSearchStoreRequest [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } - /// - /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - /// /// Custom metadata to be associated with the data. /// [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + /// + /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,25 +47,25 @@ 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 /// - /// - /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. - /// /// /// Custom metadata to be associated with the data. /// + /// + /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UploadToFileSearchStoreRequest( string? displayName, global::Google.Gemini.ChunkingConfig? chunkingConfig, - string? mimeType, - global::System.Collections.Generic.IList? customMetadata) + global::System.Collections.Generic.IList? customMetadata, + string? mimeType) { this.DisplayName = displayName; this.ChunkingConfig = chunkingConfig; - this.MimeType = mimeType; this.CustomMetadata = customMetadata; + this.MimeType = mimeType; } /// 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 f58c022..62a2a34 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs @@ -8,19 +8,6 @@ namespace Google.Gemini /// public sealed partial class UsageMetadata { - /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } - - /// - /// 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. Number of tokens present in tool-use prompt(s).
/// Included only in responses @@ -35,10 +22,11 @@ public sealed partial class UsageMetadata public int? TotalTokenCount { get; set; } /// - /// Total number of tokens across all the generated response candidates. + /// Output only. List of modalities that were returned in the response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] + public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } /// /// Output only. List of modalities that were processed for tool-use request inputs.
@@ -48,11 +36,17 @@ public sealed partial class UsageMetadata public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } /// - /// Output only. Number of tokens of thoughts for thinking models.
+ /// Total number of tokens across all the generated response candidates. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { get; set; } + + /// + /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] - public int? ThoughtsTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// /// Number of tokens in the cached part of the prompt (the cached content) @@ -61,18 +55,24 @@ public sealed partial class UsageMetadata public int? CachedContentTokenCount { get; set; } /// - /// Output only. List of modalities of the cached content in the request input.
+ /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] + public int? ThoughtsTokenCount { get; set; } /// - /// Output only. List of modalities that were returned in the response.
+ /// 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.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] - public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -97,13 +97,6 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// 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. - /// /// /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses @@ -111,26 +104,33 @@ public sealed partial class UsageMetadata /// /// Total token count for the generation request (prompt + response candidates). /// - /// - /// Total number of tokens across all the generated response candidates. + /// + /// Output only. List of modalities that were returned in the response.
+ /// Included only in responses /// /// /// Output only. List of modalities that were processed for tool-use request inputs.
/// Included only in responses /// - /// - /// Output only. Number of tokens of thoughts for thinking models.
+ /// + /// Total number of tokens across all the generated response candidates. + /// + /// + /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// /// /// Number of tokens in the cached part of the prompt (the cached content) /// - /// - /// Output only. List of modalities of the cached content in the request input.
+ /// + /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - /// - /// Output only. List of modalities that were returned in the response.
+ /// + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// + /// + /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses /// /// @@ -145,29 +145,29 @@ public sealed partial class UsageMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UsageMetadata( - global::System.Collections.Generic.IList? promptTokensDetails, - int? promptTokenCount, int? toolUsePromptTokenCount, int? totalTokenCount, - int? candidatesTokenCount, + global::System.Collections.Generic.IList? candidatesTokensDetails, global::System.Collections.Generic.IList? toolUsePromptTokensDetails, - int? thoughtsTokenCount, + int? candidatesTokenCount, + global::System.Collections.Generic.IList? promptTokensDetails, int? cachedContentTokenCount, + int? thoughtsTokenCount, + int? promptTokenCount, global::System.Collections.Generic.IList? cacheTokensDetails, - global::System.Collections.Generic.IList? candidatesTokensDetails, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { - this.PromptTokensDetails = promptTokensDetails; - this.PromptTokenCount = promptTokenCount; this.ToolUsePromptTokenCount = toolUsePromptTokenCount; this.TotalTokenCount = totalTokenCount; - this.CandidatesTokenCount = candidatesTokenCount; + this.CandidatesTokensDetails = candidatesTokensDetails; this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; - this.ThoughtsTokenCount = thoughtsTokenCount; + this.CandidatesTokenCount = candidatesTokenCount; + this.PromptTokensDetails = promptTokensDetails; this.CachedContentTokenCount = cachedContentTokenCount; + this.ThoughtsTokenCount = thoughtsTokenCount; + this.PromptTokenCount = promptTokenCount; this.CacheTokensDetails = cacheTokensDetails; - this.CandidatesTokensDetails = candidatesTokensDetails; this.ResponseTokenCount = responseTokenCount; this.ResponseTokensDetails = responseTokensDetails; } diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index eb9494d..7f2daef 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,57 +11,38 @@ } ], "paths": { - "/batches/{batchesId}": { - "delete": { - "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", - "operationId": "batches.delete", + "/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 to be deleted.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" } } } - } - }, - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "batches.get", - "parameters": [ - { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -69,28 +50,19 @@ } } }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + "/dynamic/{dynamicId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", "parameters": [ { - "name": "batchesId", + "name": "dynamicId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "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/GenerateContentBatch" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -109,7 +81,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -117,23 +94,15 @@ } } }, - "/batches": { + "/fileSearchStores": { "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "batches.list", + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { "type": "integer", "format": "int32" @@ -142,18 +111,10 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", "schema": { "type": "string" } - }, - { - "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": { @@ -162,44 +123,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" } } } } } - } - }, - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", - "parameters": [ - { - "name": "batchesId", - "in": "path", - "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", - "schema": { - "type": "string", - "format": "google-fieldmask" - } - } - ], + }, + "post": { + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -210,7 +148,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -218,19 +156,19 @@ } } }, - "/batches/{batchesId}:cancel": { - "post": { - "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", - "operationId": "batches.cancel", + "/fileSearchStores/{fileSearchStoresId}": { + "get": { + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "batchesId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -240,46 +178,43 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/FileSearchStore" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { - "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", + }, + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ + { + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, { "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", "pattern": "^fileSearchStores/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/Empty" } } } @@ -287,15 +222,27 @@ } } }, - "/files": { + "/fileSearchStores/{fileSearchStoresId}:importFile": { "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", + "parameters": [ + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileRequest" + "$ref": "#/components/schemas/ImportFileRequest" } } } @@ -306,32 +253,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.operations.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", + "name": "operationsId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { - "type": "string" + "type": "string", + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], @@ -341,7 +291,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFilesResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -349,29 +299,37 @@ } } }, - "/files/{filesId}": { + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { "get": { - "description": "Gets the metadata for the given `File`.", - "operationId": "files.get", + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "filesId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `File` to get. Example: `files/abc-123`", "schema": { - "type": "string", - "pattern": "^files/[^/]+$" + "type": "string" } - } - ], - "responses": { - "200": { + }, + { + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + } + } + ], + "responses": { + "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/Document" } } } @@ -379,17 +337,33 @@ } }, "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.delete", "parameters": [ { - "name": "filesId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "schema": { + "type": "string" + } + }, + { + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], @@ -407,26 +381,46 @@ } } }, - "/files:register": { - "post": { - "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", - "operationId": "files.register", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/RegisterFilesRequest" - } + "/fileSearchStores/{fileSearchStoresId}/documents": { + "get": { + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "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": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesResponse" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } @@ -434,26 +428,27 @@ } } }, - "/fileSearchStores": { + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", + "name": "operationsId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { - "type": "string" + "type": "string", + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], @@ -463,21 +458,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/models/{modelsId}:asyncBatchEmbedContent": { "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "models.asyncBatchEmbedContent", + "parameters": [ + { + "name": "modelsId", + "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/FileSearchStore" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -488,7 +497,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Operation" } } } @@ -496,55 +505,65 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}": { - "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + "/models/{modelsId}:countTokens": { + "post": { + "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", + "operationId": "models.countTokens", "parameters": [ { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CountTokensRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/CountTokensResponse" } } } } } - }, - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", + } + }, + "/models": { + "get": { + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", "parameters": [ { - "name": "force", + "name": "pageSize", "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "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": "boolean" + "type": "integer", + "format": "int32" } }, { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "name": "pageToken", + "in": "query", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "type": "string" } } ], @@ -554,7 +573,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListModelsResponse" } } } @@ -562,19 +581,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { + "/models/{modelsId}:generateContent": { "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "models.generateContent", "parameters": [ { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -582,7 +601,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ImportFileRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -593,7 +612,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -601,37 +620,38 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.upload.operations.get", + "/models/{modelsId}:batchEmbedContents": { + "post": { + "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", + "operationId": "models.batchEmbedContents", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchEmbedContentsRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } @@ -639,27 +659,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/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": "fileSearchStores.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": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "type": "string", + "pattern": "^models/[^/]+$" } } ], @@ -669,7 +681,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Model" } } } @@ -677,128 +689,43 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents": { - "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + "/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": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" } } } - } - } - }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { - "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", - "parameters": [ - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" - } - } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/GenerateContentResponse" } - } - } - } - } - }, - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", - "parameters": [ - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { + }, + "text/event-stream": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -806,16 +733,16 @@ } } }, - "/models/{modelsId}:batchGenerateContent": { + "/models/{modelsId}:embedContent": { "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", + "operationId": "models.embedContent", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", "pattern": "^models/[^/]+$" @@ -826,7 +753,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/EmbedContentRequest" } } } @@ -837,7 +764,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -845,16 +772,16 @@ } } }, - "/models/{modelsId}:embedContent": { + "/models/{modelsId}:batchGenerateContent": { "post": { - "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", - "operationId": "models.embedContent", + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^models/[^/]+$" @@ -865,7 +792,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -876,7 +803,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -884,15 +811,33 @@ } } }, - "/models": { + "/models/{modelsId}/operations": { "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "models.operations.list", "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + }, { "name": "pageSize", "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -901,10 +846,18 @@ { "name": "pageToken", "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "description": "The standard list page token.", "schema": { "type": "string" } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" + } } ], "responses": { @@ -913,7 +866,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -921,43 +874,37 @@ } } }, - "/models/{modelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", + "/models/{modelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "models.operations.get", "parameters": [ + { + "name": "operationsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -965,19 +912,28 @@ } } }, - "/models/{modelsId}:countTokens": { - "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", + "/cachedContents/{cachedContentsId}": { + "patch": { + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", "parameters": [ { - "name": "modelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^cachedContents/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -985,7 +941,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensRequest" + "$ref": "#/components/schemas/CachedContent" } } } @@ -996,85 +952,63 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/models/{modelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", + }, + "get": { + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.get", "parameters": [ { - "name": "modelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/models/{modelsId}: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", + }, + "delete": { + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", "parameters": [ { - "name": "modelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -1082,19 +1016,26 @@ } } }, - "/models/{modelsId}": { + "/cachedContents": { "get": { - "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", - "operationId": "models.get", + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", "parameters": [ { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", "schema": { - "type": "string", - "pattern": "^models/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "schema": { + "type": "string" } } ], @@ -1104,35 +1045,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/ListCachedContentsResponse" } } } } } - } - }, - "/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": "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/[^/]+$" - } - } - ], + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1143,7 +1070,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1151,33 +1078,15 @@ } } }, - "/models/{modelsId}/operations": { + "/generatedFiles": { "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "models.operations.list", + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", "schema": { "type": "integer", "format": "int32" @@ -1186,18 +1095,10 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", "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": { @@ -1206,7 +1107,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListGeneratedFilesResponse" } } } @@ -1214,10 +1115,10 @@ } } }, - "/models/{modelsId}/operations/{operationsId}": { + "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "models.operations.get", + "operationId": "generatedFiles.operations.get", "parameters": [ { "name": "operationsId", @@ -1228,13 +1129,13 @@ } }, { - "name": "modelsId", + "name": "generatedFilesId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" } } ], @@ -1252,38 +1153,93 @@ } } }, - "/tunedModels/{tunedModelsId}": { - "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", + "/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": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", + } + }, + "/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}": { + "delete": { + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { "name": "tunedModelsId", @@ -1302,7 +1258,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Empty" } } } @@ -1354,6 +1310,34 @@ } } } + }, + "get": { + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" + } + } + } + } + } } }, "/tunedModels/{tunedModelsId}:generateContent": { @@ -1514,46 +1498,7 @@ } } }, - "/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": "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/AsyncBatchEmbedContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } - } - } - } - } - }, - "/tunedModels/{tunedModelsId}:transferOwnership": { + "/tunedModels/{tunedModelsId}:transferOwnership": { "post": { "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", "operationId": "tunedModels.transferOwnership", @@ -1592,50 +1537,6 @@ } } }, - "/tunedModels/{tunedModelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "tunedModels.streamGenerateContent", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], - "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": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - } - } - } - } - } - }, "/tunedModels/{tunedModelsId}/operations": { "get": { "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", @@ -1737,27 +1638,73 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "/tunedModels/{tunedModelsId}/permissions": { + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + } + } + }, + "get": { + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } }, { - "name": "permissionsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1767,13 +1714,15 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } } } - }, + } + }, + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { "patch": { "description": "Updates the permission.", "operationId": "tunedModels.permissions.patch", @@ -1828,9 +1777,9 @@ } } }, - "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", "parameters": [ { "name": "tunedModelsId", @@ -1857,44 +1806,33 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/tunedModels/{tunedModelsId}/permissions": { - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "name": "tunedModelsId", + "in": "path", + "required": true, "schema": { "type": "string" } }, { - "name": "tunedModelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -1904,64 +1842,55 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Empty" } } } } } - }, - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + } + }, + "/files/{filesId}": { + "get": { + "description": "Gets the metadata for the given `File`.", + "operationId": "files.get", "parameters": [ { - "name": "tunedModelsId", + "name": "filesId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `File` to get. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^files/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/File" } } } } } - } - }, - "/cachedContents/{cachedContentsId}": { - "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.get", + }, + "delete": { + "description": "Deletes the `File`.", + "operationId": "files.delete", "parameters": [ { - "name": "cachedContentsId", + "name": "filesId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", + "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^files/[^/]+$" } } ], @@ -1971,42 +1900,23 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Empty" } } } } } - }, - "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", - "parameters": [ - { - "name": "cachedContentsId", - "in": "path", - "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "The list of fields to update.", - "schema": { - "type": "string", - "format": "google-fieldmask" - } - } - ], + } + }, + "/files:register": { + "post": { + "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", + "operationId": "files.register", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/RegisterFilesRequest" } } } @@ -2017,35 +1927,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } - } - } - } - }, - "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", - "parameters": [ - { - "name": "cachedContentsId", - "in": "path", - "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", - "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/RegisterFilesResponse" } } } @@ -2053,15 +1935,15 @@ } } }, - "/cachedContents": { + "/files": { "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.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. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { "type": "integer", "format": "int32" @@ -2070,7 +1952,7 @@ { "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 from a previous `ListFiles` call.", "schema": { "type": "string" } @@ -2082,7 +1964,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/ListFilesResponse" } } } @@ -2090,13 +1972,13 @@ } }, "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", + "description": "Creates a `File`.", + "operationId": "media.upload", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/CreateFileRequest" } } } @@ -2107,7 +1989,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/CreateFileResponse" } } } @@ -2115,19 +1997,28 @@ } } }, - "/dynamic/{dynamicId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "dynamic.generateContent", + "/batches/{batchesId}:updateGenerateContentBatch": { + "patch": { + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", "parameters": [ { - "name": "dynamicId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -2135,7 +2026,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -2146,7 +2037,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -2154,19 +2045,58 @@ } } }, - "/dynamic/{dynamicId}:streamGenerateContent": { + "/batches/{batchesId}:cancel": { "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", + "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": "dynamicId", + "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": "^dynamic/[^/]+$" + "pattern": "^batches/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } + } + } + } + }, + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -2174,7 +2104,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -2185,12 +2115,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -2198,15 +2123,23 @@ } } }, - "/generatedFiles": { + "/batches": { "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.list", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "batches.list", "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, { "name": "pageSize", "in": "query", - "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -2215,10 +2148,18 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "description": "The standard list page token.", "schema": { "type": "string" } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" + } } ], "responses": { @@ -2227,7 +2168,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -2235,27 +2176,47 @@ } } }, - "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { + "/batches/{batchesId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "generatedFiles.operations.get", + "operationId": "batches.get", "parameters": [ { - "name": "operationsId", + "name": "batchesId", "in": "path", "required": true, + "description": "The name of the operation resource.", "schema": { - "type": "string" + "type": "string", + "pattern": "^batches/[^/]+$" } - }, + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + }, + "delete": { + "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", + "operationId": "batches.delete", + "parameters": [ { - "name": "generatedFilesId", + "name": "batchesId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "The name of the operation resource to be deleted.", "schema": { "type": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -2265,7 +2226,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -2273,15 +2234,27 @@ } } }, - "/corpora": { + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", + "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", + "parameters": [ + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" } } } @@ -2292,13 +2265,15 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } } } - }, + } + }, + "/corpora": { "get": { "description": "Lists all `Corpora` owned by the user.", "operationId": "corpora.list", @@ -2333,23 +2308,48 @@ } } } - } - }, - "/corpora/{corporaId}": { - "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", - "parameters": [ - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" - } - } + }, + "post": { + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Corpus" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Corpus" + } + } + } + } + } + } + }, + "/corpora/{corporaId}": { + "get": { + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", + "parameters": [ + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+$" + } + } ], "responses": { "200": { @@ -2401,24 +2401,15 @@ } } }, - "/corpora/{corporaId}/permissions": { + "/corpora/{corporaId}/operations/{operationsId}": { "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "corpora.permissions.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": "corpora.operations.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "name": "operationsId", + "in": "path", + "required": true, "schema": { "type": "string" } @@ -2427,10 +2418,10 @@ "name": "corporaId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -2440,13 +2431,15 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/corpora/{corporaId}/permissions": { "post": { "description": "Create a permission to a specific resource.", "operationId": "corpora.permissions.create", @@ -2483,17 +2476,24 @@ } } } - } - }, - "/corpora/{corporaId}/permissions/{permissionsId}": { + }, "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.permissions.get", + "description": "Lists permissions for the specific resource.", + "operationId": "corpora.permissions.list", "parameters": [ { - "name": "permissionsId", - "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" } @@ -2502,10 +2502,10 @@ "name": "corporaId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -2515,16 +2515,18 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } } } - }, - "patch": { - "description": "Updates the permission.", - "operationId": "corpora.permissions.patch", + } + }, + "/corpora/{corporaId}/permissions/{permissionsId}": { + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "corpora.permissions.get", "parameters": [ { "name": "permissionsId", @@ -2538,31 +2540,13 @@ "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.", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "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/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", @@ -2611,15 +2595,13 @@ } } } - } - }, - "/corpora/{corporaId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "corpora.operations.get", + }, + "patch": { + "description": "Updates the permission.", + "operationId": "corpora.permissions.patch", "parameters": [ { - "name": "operationsId", + "name": "permissionsId", "in": "path", "required": true, "schema": { @@ -2630,20 +2612,38 @@ "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" + } + }, + { + "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": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } @@ -2654,614 +2654,530 @@ }, "components": { "schemas": { - "TunedModel": { + "SearchTypes": { + "description": "Different types of search that can be enabled on the GoogleSearch tool.", "type": "object", "properties": { - "state": { - "readOnly": true, - "type": "string", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "The model is being created.", - "The model is ready to be used.", - "The model failed to be created." - ], - "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" - ], - "description": "Output only. The state of the tuned model." - }, - "temperature": { - "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", - "format": "float", - "type": "number" - }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" - }, - "topP": { - "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", - "format": "float", - "type": "number" - }, - "updateTime": { - "readOnly": true, - "type": "string", - "description": "Output only. The timestamp when this model was updated.", - "format": "google-datetime" + "webSearch": { + "description": "Optional. Enables web search. Only text results are returned.", + "$ref": "#/components/schemas/WebSearch" }, - "readerProjectNumbers": { + "imageSearch": { + "description": "Optional. Enables image search. Image bytes are returned.", + "$ref": "#/components/schemas/ImageSearch" + } + } + }, + "PrebuiltVoiceConfig": { + "properties": { + "voiceName": { + "description": "The name of the preset voice to use.", + "type": "string" + } + }, + "description": "The configuration for the prebuilt speaker to use.", + "type": "object" + }, + "ListFilesResponse": { + "description": "Response for `ListFiles`.", + "type": "object", + "properties": { + "files": { + "description": "The list of `File`s.", "type": "array", - "description": "Optional. List of project numbers that have read access to the tuned model.", "items": { - "type": "string", - "format": "int64" + "$ref": "#/components/schemas/File" } }, - "displayName": { - "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", "type": "string" + } + } + }, + "Part": { + "properties": { + "functionResponse": { + "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", + "$ref": "#/components/schemas/FunctionResponse" }, - "description": { - "description": "Optional. A short description of this model.", - "type": "string" + "partMetadata": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", + "type": "object" }, - "createTime": { - "description": "Output only. The timestamp when this model was created.", - "format": "google-datetime", - "readOnly": true, - "type": "string" + "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`.", + "$ref": "#/components/schemas/ToolResponse" }, - "name": { - "readOnly": true, - "type": "string", - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`" + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" }, - "topK": { - "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", - "format": "int32", - "type": "integer" + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" + "executableCode": { + "description": "Code generated by the model that is meant to be executed.", + "$ref": "#/components/schemas/ExecutableCode" }, - "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", - "type": "string" - } - }, - "description": "A fine-tuned model created using ModelService.CreateTunedModel." - }, - "InputEmbedContentConfig": { - "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", + "text": { + "description": "Inline text.", "type": "string" }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" - } - }, - "type": "object", - "description": "Configures the input to the batch request." - }, - "Operation": { - "description": "This resource represents a long-running operation that is the result of a network API call.", - "properties": { - "done": { - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", - "type": "boolean" + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" }, - "response": { - "type": "object", - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "toolCall": { + "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", + "$ref": "#/components/schemas/ToolCall" }, - "name": { - "description": "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}`.", + "thoughtSignature": { + "format": "byte", + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", "type": "string" }, - "metadata": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "type": "object" + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" + }, + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" + }, + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" } }, + "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "type": "object" }, - "ContentEmbedding": { - "description": "A list of floats representing an embedding.", + "ListModelsResponse": { + "description": "Response from `ListModel` containing a paginated list of Models.", + "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" - }, - "shape": { + "models": { + "description": "The returned Models.", "type": "array", - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", "items": { - "type": "integer", - "format": "int32" + "$ref": "#/components/schemas/Model" } + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } - }, - "type": "object" + } }, - "Model": { - "description": "Information about a Generative Language Model.", + "VoiceConfig": { + "description": "The configuration for the voice to use.", + "type": "object", "properties": { - "displayName": { - "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", + "prebuiltVoiceConfig": { + "description": "The configuration for the prebuilt voice to use.", + "$ref": "#/components/schemas/PrebuiltVoiceConfig" + } + } + }, + "SearchEntryPoint": { + "properties": { + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", "type": "string" }, - "description": { - "description": "A short description of the model.", + "sdkBlob": { + "format": "byte", + "description": "Optional. Base64 encoded JSON representing array of tuple.", "type": "string" - }, - "topP": { - "type": "number", - "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", - "format": "float" - }, - "supportedGenerationMethods": { + } + }, + "description": "Google search entry point.", + "type": "object" + }, + "CountTokensResponse": { + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "type": "object", + "properties": { + "cacheTokensDetails": { + "description": "Output only. List of modalities that were processed in the cached content.", + "readOnly": true, "type": "array", "items": { - "type": "string" - }, - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`." - }, - "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" + "$ref": "#/components/schemas/ModalityTokenCount" + } }, - "topK": { - "type": "integer", - "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", - "format": "int32" + "totalTokens": { + "format": "int32", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", + "type": "integer" }, - "outputTokenLimit": { + "cachedContentTokenCount": { + "description": "Number of tokens in the cached part of the prompt (the cached content).", "type": "integer", - "description": "Maximum number of output tokens available for this model.", "format": "int32" }, - "maxTemperature": { + "promptTokensDetails": { + "description": "Output only. List of modalities that were processed in the request input.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } + } + } + }, + "DynamicRetrievalConfig": { + "properties": { + "dynamicThreshold": { + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", "type": "number", - "description": "The maximum temperature this model can use.", "format": "float" }, - "baseModelId": { - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", - "type": "string" - }, - "version": { - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "mode": { + "x-enum-descriptions": [ + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." + ], + "enum": [ + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" + ], + "description": "The mode of the predictor to be used in dynamic retrieval.", "type": "string" - }, - "inputTokenLimit": { - "description": "Maximum number of input tokens allowed for this model.", - "format": "int32", - "type": "integer" - }, - "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" - }, - "thinking": { - "description": "Whether the model supports thinking.", - "type": "boolean" } }, + "description": "Describes the options to customize dynamic retrieval.", "type": "object" }, - "RetrievedContext": { - "description": "Chunk from context retrieved by the file search tool.", + "UrlContext": { + "properties": {}, + "description": "Tool to support URL context retrieval.", + "type": "object" + }, + "Permission": { + "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", "type": "object", "properties": { - "text": { - "description": "Optional. Text of the chunk.", - "type": "string" - }, - "customMetadata": { - "type": "array", - "description": "Optional. User-provided metadata about the retrieved context.", - "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" - } - }, - "uri": { - "description": "Optional. URI reference of the semantic retrieval document.", + "name": { + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "readOnly": true, "type": "string" }, - "title": { - "description": "Optional. Title of the document.", + "emailAddress": { + "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE.", "type": "string" }, - "fileSearchStore": { - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", - "type": "string" - } - } - }, - "TransferOwnershipResponse": { - "properties": {}, - "type": "object", - "description": "Response from `TransferOwnership`." - }, - "ToolResponse": { - "type": "object", - "properties": { - "toolType": { + "role": { "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." + "The default value. This value is 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", "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" ], - "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`." - }, - "id": { - "description": "Optional. The identifier of the tool call this response is for.", + "description": "Required. The role granted by this permission.", "type": "string" }, - "response": { - "description": "Optional. The tool response.", - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" + "granteeType": { + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Represents a user. When set, you must provide email_address for the user.", + "Represents a group. When set, you must provide email_address for the group.", + "Represents access to everyone. No extra information is required." + ], + "enum": [ + "GRANTEE_TYPE_UNSPECIFIED", + "USER", + "GROUP", + "EVERYONE" + ], + "description": "Optional. Immutable. The type of the grantee.", + "type": "string" } - }, - "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`." + } }, - "FunctionCall": { + "RegisterFilesResponse": { + "description": "Response for `RegisterFiles`.", + "type": "object", "properties": { - "args": { - "description": "Optional. The function parameters and values in JSON object format.", - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" + "files": { + "description": "The registered files to be used when calling GenerateContent.", + "type": "array", + "items": { + "$ref": "#/components/schemas/File" + } + } + } + }, + "FileSearchStore": { + "properties": { + "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" }, - "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`.", + "updateTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "pendingDocumentsCount": { + "format": "int64", + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "readOnly": true, "type": "string" }, "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", + "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", + "readOnly": true, "type": "string" - } - }, - "type": "object", - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values." - }, - "GroundingAttribution": { - "description": "Attribution for a source that contributed to an answer.", - "properties": { - "sourceId": { + }, + "activeDocumentsCount": { + "format": "int64", + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", "readOnly": true, - "$ref": "#/components/schemas/AttributionSourceId", - "description": "Output only. Identifier for the source contributing to this attribution." + "type": "string" }, - "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" + "failedDocumentsCount": { + "format": "int64", + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "readOnly": true, + "type": "string" + }, + "displayName": { + "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "type": "string" + }, + "createTime": { + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "readOnly": true, + "type": "string" } }, + "description": "A `FileSearchStore` is a collection of `Document`s.", "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`.", + "UploadToFileSearchStoreRequest": { "properties": { - "contents": { + "displayName": { + "description": "Optional. Display name of the created document.", + "type": "string" + }, + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" + }, + "customMetadata": { + "description": "Custom metadata to be associated with the data.", "type": "array", "items": { - "$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." + "$ref": "#/components/schemas/CustomMetadata" + } }, - "generateContentRequest": { - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", - "$ref": "#/components/schemas/GenerateContentRequest" + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", + "type": "string" } }, + "description": "Request for `UploadToFileSearchStore`.", "type": "object" }, - "EmbedContentResponse": { - "type": "object", + "UrlMetadata": { "properties": { - "embedding": { - "description": "Output only. The embedding generated from the input content.", - "readOnly": true, - "$ref": "#/components/schemas/ContentEmbedding" + "retrievedUrl": { + "description": "Retrieved url by the tool.", + "type": "string" }, - "usageMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata", - "description": "Output only. The usage metadata for the request." + "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" + ] } }, - "description": "The response to an `EmbedContentRequest`." + "description": "Context of the a single url retrieval.", + "type": "object" }, - "Corpus": { - "type": "object", + "ReviewSnippet": { "properties": { - "createTime": { - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "format": "google-datetime", - "readOnly": true, - "type": "string" - }, - "name": { - "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", - "readOnly": true, + "reviewId": { + "description": "The ID of the review snippet.", "type": "string" }, - "updateTime": { - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "format": "google-datetime", - "readOnly": true, + "title": { + "description": "Title of the review.", "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\"", + "googleMapsUri": { + "description": "A link that corresponds to the user review on Google Maps.", "type": "string" } }, - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora." + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", + "type": "object" }, - "EmbeddingUsageMetadata": { + "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": { - "promptTokenCount": { - "readOnly": true, - "type": "integer", - "description": "Output only. Number of tokens in the prompt.", - "format": "int32" + "role": { + "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "type": "string" }, - "promptTokenDetails": { + "parts": { + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", + "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, - "type": "array" + "$ref": "#/components/schemas/Part" + } } - }, - "description": "Metadata on the usage of the embedding request." + } }, - "GenerateContentBatch": { - "type": "object", + "ModelStatus": { "properties": { - "displayName": { - "description": "Required. The user-defined name of this batch.", - "type": "string" - }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" - }, - "updateTime": { - "readOnly": true, - "type": "string", - "description": "Output only. The time at which the batch was last updated.", - "format": "google-datetime" - }, - "endTime": { - "description": "Output only. The time at which the batch processing completed.", - "format": "google-datetime", - "readOnly": true, + "message": { + "description": "A message explaining the model status.", "type": "string" }, - "state": { + "modelStage": { "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." + "Unspecified model stage.", + "The underlying model is subject to lots of tunings.", + "Models in this stage are for experimental purposes only.", + "Models in this stage are more mature than experimental models.", + "Models in this stage are considered stable and ready for production use.", + "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", + "Models in this stage are deprecated. These models cannot be used.", + "Models in this stage are retired. These models cannot be used." + ], + "enumDeprecated": [ + false, + true, + false, + false, + false, + false, + true, + false ], - "readOnly": true, - "type": "string", "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" ], - "description": "Output only. The state of the batch." - }, - "name": { - "readOnly": true, - "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." + "description": "The stage of the underlying model.", + "type": "string" }, - "createTime": { - "readOnly": true, + "retirementTime": { + "description": "The time at which the model will be retired.", "type": "string", - "description": "Output only. The time at which the batch was created.", "format": "google-datetime" - }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "readOnly": true, - "$ref": "#/components/schemas/BatchStats" - }, - "priority": { - "type": "string", - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "format": "int64" - }, - "output": { - "description": "Output only. The output of the batch request.", - "readOnly": true, - "$ref": "#/components/schemas/GenerateContentBatchOutput" - }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" - } - }, - "description": "A resource representing a batch of `GenerateContent` requests." - }, - "Dataset": { - "description": "Dataset for training or validation.", - "properties": { - "examples": { - "description": "Optional. Inline examples with simple input/output text.", - "$ref": "#/components/schemas/TuningExamples" } }, + "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" }, - "InputConfig": { - "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" - }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedRequests" - } - }, - "type": "object", - "description": "Configures the input to the batch request." - }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "CachedContent": { "properties": { - "groundingChunkIndices": { - "type": "array", - "items": { - "type": "integer", - "format": "int32" - }, - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order)." + "usageMetadata": { + "description": "Output only. Metadata on the usage of the cached content.", + "readOnly": true, + "$ref": "#/components/schemas/CachedContentUsageMetadata" }, - "confidenceScores": { + "contents": { + "description": "Optional. Input only. Immutable. The content to cache.", "type": "array", - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", "items": { - "type": "number", - "format": "float" + "$ref": "#/components/schemas/Content" } }, - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + "model": { + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", + "type": "string" }, - "renderedParts": { - "items": { - "type": "integer", - "format": "int32" - }, - "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", + "displayName": { + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "type": "string" + }, + "createTime": { + "description": "Output only. Creation time of the cache entry.", "readOnly": true, - "type": "array" - } - }, - "type": "object", - "description": "Grounding support." - }, - "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.", - "items": { - "$ref": "#/components/schemas/Corpus" - }, - "type": "array" + "type": "string", + "format": "google-datetime" }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", + "$ref": "#/components/schemas/Content" + }, + "ttl": { + "format": "google-duration", + "description": "Input only. New TTL for this resource, input only.", "type": "string" - } - } - }, - "ListDocumentsResponse": { - "properties": { - "documents": { - "description": "The returned `Document`s.", - "items": { - "$ref": "#/components/schemas/Document" - }, - "type": "array" }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "expireTime": { + "format": "google-datetime", + "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", "type": "string" - } - }, - "type": "object", - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`." - }, - "ListTunedModelsResponse": { - "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + }, + "toolConfig": { + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", + "$ref": "#/components/schemas/ToolConfig" + }, + "name": { + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "readOnly": true, "type": "string" }, - "tunedModels": { + "tools": { + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", "type": "array", "items": { - "$ref": "#/components/schemas/TunedModel" - }, - "description": "The returned Models." - } - }, - "type": "object", - "description": "Response from `ListTunedModels` containing a paginated list of Models." - }, - "CreateFileRequest": { - "type": "object", - "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/Tool" + } + }, + "updateTime": { + "description": "Output only. When the cache entry was last updated in UTC time.", + "readOnly": true, + "type": "string", + "format": "google-datetime" } }, - "description": "Request for `CreateFile`." - }, - "CodeExecution": { - "properties": {}, - "type": "object", - "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool." + "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.", + "type": "object" }, "ModalityTokenCount": { "description": "Represents token counting info for a single modality.", @@ -3269,14 +3185,6 @@ "properties": { "modality": { "description": "The modality associated with this token count.", - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ], "type": "string", "x-enum-descriptions": [ "Unspecified modality.", @@ -3285,1901 +3193,1340 @@ "Video.", "Audio.", "Document, e.g. PDF." + ], + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" ] }, "tokenCount": { - "description": "Number of tokens.", "format": "int32", + "description": "Number of tokens.", "type": "integer" } } }, - "Schema": { - "type": "object", + "GroundingChunkStringList": { "properties": { - "minProperties": { - "description": "Optional. Minimum number of the properties for Type.OBJECT.", - "format": "int64", - "type": "string" - }, - "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" - }, - "required": { + "values": { + "description": "The string values of the list.", "type": "array", - "description": "Optional. Required properties of Type.OBJECT.", "items": { "type": "string" } - }, - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", - "type": "string" - }, - "format": { - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", - "type": "string" - }, - "properties": { - "additionalProperties": { - "$ref": "#/components/schemas/Schema" - }, - "description": "Optional. Properties of Type.OBJECT.", - "type": "object" - }, - "nullable": { - "description": "Optional. Indicates if the value may be null.", - "type": "boolean" - }, - "minimum": { - "type": "number", - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", - "format": "double" - }, - "type": { - "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" - ], - "description": "Required. Data type.", - "x-enum-descriptions": [ - "Not specified, should not be used.", - "String type.", - "Number type.", - "Integer type.", - "Boolean type.", - "Array type.", - "Object type.", - "Null type." - ], - "type": "string" - }, - "title": { - "description": "Optional. The title of the schema.", - "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." - }, - "description": { - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + } + }, + "description": "A list of string values.", + "type": "object" + }, + "CodeExecution": { + "properties": {}, + "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", + "type": "object" + }, + "GroundingPassageId": { + "properties": { + "passageId": { + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", + "readOnly": true, "type": "string" }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" - }, - "minLength": { - "type": "string", - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", - "format": "int64" - }, - "anyOf": { + "partIndex": { + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", + "readOnly": true, + "type": "integer", + "format": "int32" + } + }, + "description": "Identifier for a part within a `GroundingPassage`.", + "type": "object" + }, + "InlinedRequests": { + "properties": { + "requests": { + "description": "Required. The requests to be processed in the batch.", "type": "array", "items": { - "$ref": "#/components/schemas/Schema" - }, - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list." - }, - "maximum": { - "type": "number", - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "format": "double" - }, - "maxItems": { - "type": "string", - "description": "Optional. Maximum number of the elements for Type.ARRAY.", - "format": "int64" - }, - "minItems": { - "type": "string", - "description": "Optional. Minimum number of the elements for Type.ARRAY.", - "format": "int64" - }, - "maxLength": { - "type": "string", - "description": "Optional. Maximum length of the Type.STRING", - "format": "int64" + "$ref": "#/components/schemas/InlinedRequest" + } + } + }, + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "type": "object" + }, + "Empty": { + "properties": {}, + "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", + "type": "object" + }, + "FileSearch": { + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", + "type": "object", + "properties": { + "fileSearchStoreNames": { + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", + "type": "array", + "items": { + "type": "string" + } }, - "maxProperties": { - "description": "Optional. Maximum number of the properties for Type.OBJECT.", - "format": "int64", + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", "type": "string" }, - "enum": { + "topK": { + "format": "int32", + "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "type": "integer" + } + } + }, + "InlinedEmbedContentResponses": { + "properties": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch.", + "readOnly": true, "type": "array", "items": { - "type": "string" - }, - "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}" + "$ref": "#/components/schemas/InlinedEmbedContentResponse" + } } }, - "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema)." + "description": "The responses to the requests in the batch.", + "type": "object" }, - "ToolConfig": { - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "EmbeddingUsageMetadata": { + "description": "Metadata on the usage of the embedding request.", "type": "object", "properties": { - "functionCallingConfig": { - "description": "Optional. Function calling config.", - "$ref": "#/components/schemas/FunctionCallingConfig" - }, - "retrievalConfig": { - "description": "Optional. Retrieval config.", - "$ref": "#/components/schemas/RetrievalConfig" + "promptTokenCount": { + "description": "Output only. Number of tokens in the prompt.", + "readOnly": true, + "type": "integer", + "format": "int32" }, - "includeServerSideToolInvocations": { - "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", - "type": "boolean" + "promptTokenDetails": { + "description": "Output only. List of modalities that were processed in the request input.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } } } }, "InlinedEmbedContentResponse": { "properties": { + "response": { + "description": "Output only. The response to the request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentResponse" + }, "error": { + "description": "Output only. The error encountered while processing the request.", "readOnly": true, - "$ref": "#/components/schemas/Status", - "description": "Output only. The error encountered while processing the request." + "$ref": "#/components/schemas/Status" }, "metadata": { + "description": "Output only. The metadata associated with the request.", "readOnly": true, "type": "object", - "description": "Output only. The metadata associated with the request.", "additionalProperties": { "description": "Properties of the object." } - }, - "response": { - "description": "Output only. The response to the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentResponse" } }, - "type": "object", - "description": "The response to a single request in the batch." + "description": "The response to a single request in the batch.", + "type": "object" }, - "ListFileSearchStoresResponse": { - "type": "object", + "EmbedContentRequest": { "properties": { - "fileSearchStores": { - "type": "array", - "description": "The returned rag_stores.", - "items": { - "$ref": "#/components/schemas/FileSearchStore" - } + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" - } - }, - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`." - }, - "Status": { - "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", - "properties": { - "code": { + "outputDimensionality": { + "description": "Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", "type": "integer", - "description": "The status code, which should be an enum value of google.rpc.Code.", "format": "int32" }, - "message": { - "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", + "model": { + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "type": "string" }, - "details": { - "type": "array", - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", - "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - } - } - }, - "type": "object" - }, - "EmbedContentBatch": { - "properties": { - "name": { - "readOnly": true, - "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." - }, - "createTime": { - "description": "Output only. The time at which the batch was created.", - "format": "google-datetime", - "readOnly": true, - "type": "string" - }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentBatchStats" - }, - "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" - }, - "output": { - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentBatchOutput", - "description": "Output only. The output of the batch request." - }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" - }, - "displayName": { - "description": "Required. The user-defined name of this batch.", - "type": "string" - }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" - }, - "updateTime": { - "readOnly": true, - "type": "string", - "description": "Output only. The time at which the batch was last updated.", - "format": "google-datetime" - }, - "endTime": { - "description": "Output only. The time at which the batch processing completed.", - "format": "google-datetime", - "readOnly": true, - "type": "string" - }, - "state": { - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ], - "readOnly": true, + "taskType": { + "description": "Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", "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." + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." ], - "description": "Output only. The state of the batch." + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ] + }, + "title": { + "description": "Optional. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", + "type": "string" } }, - "type": "object", - "description": "A resource representing a batch of `EmbedContent` requests." + "description": "Request containing the `Content` for the model to embed.", + "type": "object" }, - "FileSearch": { + "TransferOwnershipRequest": { + "description": "Request to transfer the ownership of the tuned model.", "type": "object", "properties": { - "topK": { - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "format": "int32", - "type": "integer" - }, - "fileSearchStoreNames": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`" - }, - "metadataFilter": { - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", "type": "string" } - }, - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API." + } }, - "LogprobsResult": { - "description": "Logprobs Result", + "StringList": { + "description": "User provided string values assigned to a single metadata key.", + "type": "object", "properties": { - "topCandidates": { - "items": { - "$ref": "#/components/schemas/TopCandidates" - }, - "description": "Length = total number of decoding steps.", - "type": "array" - }, - "chosenCandidates": { + "values": { + "description": "The string values of the metadata to store.", "type": "array", - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" + "type": "string" } - }, - "logProbabilitySum": { - "description": "Sum of log probabilities for all tokens.", - "format": "float", - "type": "number" } - }, - "type": "object" + } }, - "Hyperparameters": { - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", - "type": "object", + "LogprobsResultCandidate": { "properties": { - "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" - }, - "batchSize": { - "type": "integer", - "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", - "format": "int32" - }, - "learningRate": { - "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", - "format": "float", - "type": "number" + "token": { + "description": "The candidate\u2019s token string value.", + "type": "string" }, - "learningRateMultiplier": { + "logProbability": { + "description": "The candidate's log probability.", "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" + }, + "tokenId": { + "description": "The candidate\u2019s token id value.", + "type": "integer", + "format": "int32" } - } + }, + "description": "Candidate for the logprobs token and score.", + "type": "object" }, - "PrebuiltVoiceConfig": { + "SafetySetting": { + "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", "type": "object", "properties": { - "voiceName": { - "description": "The name of the preset voice to use.", - "type": "string" + "category": { + "description": "Required. The category for this setting.", + "type": "string", + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], + "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." + ] + }, + "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" + ] } - }, - "description": "The configuration for the prebuilt speaker to use." + } }, - "RetrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", + "BatchGenerateContentRequest": { "properties": { - "googleSearchDynamicRetrievalScore": { - "type": "number", - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", - "format": "float" + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/GenerateContentBatch" } }, + "description": "Request for a `BatchGenerateContent` operation.", "type": "object" }, - "CitationSource": { - "description": "A citation to a source for a portion of a specific response.", + "UsageMetadata": { + "description": "Metadata on the generation request's token usage.", "type": "object", "properties": { - "startIndex": { - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", + "toolUsePromptTokenCount": { + "description": "Output only. Number of tokens present in tool-use prompt(s).", + "readOnly": true, + "type": "integer", + "format": "int32" + }, + "totalTokenCount": { "format": "int32", + "description": "Total token count for the generation request (prompt + response candidates).", "type": "integer" }, - "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", - "type": "string" - }, - "license": { - "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", - "type": "string" + "candidatesTokensDetails": { + "description": "Output only. List of modalities that were returned in the response.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } }, - "endIndex": { - "type": "integer", - "description": "Optional. End of the attributed segment, exclusive.", - "format": "int32" - } - } - }, - "CountTokensResponse": { - "properties": { - "promptTokensDetails": { + "toolUsePromptTokensDetails": { + "description": "Output only. List of modalities that were processed for tool-use request inputs.", "readOnly": true, "type": "array", "items": { "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the request input." + } }, - "totalTokens": { + "candidatesTokenCount": { + "description": "Total number of tokens across all the generated response candidates.", "type": "integer", - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", "format": "int32" }, + "promptTokensDetails": { + "description": "Output only. List of modalities that were processed in the request input.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } + }, "cachedContentTokenCount": { + "format": "int32", + "description": "Number of tokens in the cached part of the prompt (the cached content)", + "type": "integer" + }, + "thoughtsTokenCount": { + "description": "Output only. Number of tokens of thoughts for thinking models.", + "readOnly": true, "type": "integer", - "description": "Number of tokens in the cached part of the prompt (the cached content).", "format": "int32" }, + "promptTokenCount": { + "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.", + "type": "integer" + }, "cacheTokensDetails": { - "description": "Output only. List of modalities that were processed in the cached content.", + "description": "Output only. List of modalities of the cached content in the request input.", + "readOnly": true, + "type": "array", "items": { "$ref": "#/components/schemas/ModalityTokenCount" - }, + } + }, + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", + "readOnly": true + }, + "responseTokensDetails": { + "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + "type": "array", "readOnly": true, - "type": "array" + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } + } + } + }, + "ImportFileRequest": { + "properties": { + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" + }, + "customMetadata": { + "description": "Custom metadata to be associated with the file.", + "type": "array", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + } + }, + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "type": "string" } }, - "type": "object", - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`." + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", + "type": "object" }, - "ListGeneratedFilesResponse": { - "description": "Response for `ListGeneratedFiles`.", + "GenerateContentRequest": { "properties": { - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "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.", + "$ref": "#/components/schemas/ToolConfig" + }, + "systemInstruction": { + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", + "$ref": "#/components/schemas/Content" + }, + "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" }, - "generatedFiles": { + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "generationConfig": { + "description": "Optional. Configuration options for model generation and outputs.", + "$ref": "#/components/schemas/GenerationConfig" + }, + "serviceTier": { + "description": "Optional. The service tier of the request.", + "type": "string", + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ], + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ] + }, + "contents": { + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", "type": "array", "items": { - "$ref": "#/components/schemas/GeneratedFile" - }, - "description": "The list of `GeneratedFile`s." + "$ref": "#/components/schemas/Content" + } + }, + "tools": { + "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Tool" + } + }, + "safetySettings": { + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetySetting" + } + }, + "store": { + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", + "type": "boolean" } }, + "description": "Request to generate a completion from the model.", "type": "object" }, - "AttributionSourceId": { - "description": "Identifier for the source contributing to this attribution.", - "type": "object", + "ListCachedContentsResponse": { "properties": { - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" + "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" }, - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" + "cachedContents": { + "description": "List of cached contents.", + "type": "array", + "items": { + "$ref": "#/components/schemas/CachedContent" + } } - } + }, + "description": "Response with CachedContents list.", + "type": "object" }, - "TransferOwnershipRequest": { - "description": "Request to transfer the ownership of the tuned model.", + "PlaceAnswerSources": { "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", - "type": "string" + "reviewSnippets": { + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "type": "array", + "items": { + "$ref": "#/components/schemas/ReviewSnippet" + } } }, + "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", "type": "object" }, - "RegisterFilesResponse": { - "description": "Response for `RegisterFiles`.", + "InlinedRequest": { + "properties": { + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" + }, + "metadata": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The metadata to be associated with the request.", + "type": "object" + } + }, + "description": "The request to be processed in the batch.", + "type": "object" + }, + "ListCorporaResponse": { + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", "type": "object", "properties": { - "files": { + "corpora": { + "description": "The returned corpora.", "type": "array", "items": { - "$ref": "#/components/schemas/File" - }, - "description": "The registered files to be used when calling GenerateContent." + "$ref": "#/components/schemas/Corpus" + } + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } } }, - "FileData": { + "FunctionCall": { "properties": { - "mimeType": { - "description": "Optional. The IANA standard MIME type of the source data.", + "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" }, - "fileUri": { - "description": "Required. URI.", + "name": { + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", "type": "string" + }, + "args": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The function parameters and values in JSON object format.", + "type": "object" } }, - "type": "object", - "description": "URI based data." + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "type": "object" }, - "EmbedContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", + "TuningExample": { + "description": "A single example for tuning.", "type": "object", "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "readOnly": true, - "$ref": "#/components/schemas/InlinedEmbedContentResponses" + "textInput": { + "description": "Optional. Text model input.", + "type": "string" }, - "responsesFile": { - "readOnly": true, - "type": "string", - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." + "output": { + "description": "Required. The expected model output.", + "type": "string" } } }, - "TopCandidates": { - "type": "object", + "ListTunedModelsResponse": { "properties": { - "candidates": { + "tunedModels": { + "description": "The returned Models.", "type": "array", - "description": "Sorted by log probability in descending order.", "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" + "$ref": "#/components/schemas/TunedModel" } + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } }, - "description": "Candidates with top log probabilities at each decoding step." + "description": "Response from `ListTunedModels` containing a paginated list of Models.", + "type": "object" }, - "GroundingChunkStringList": { - "description": "A list of string values.", - "type": "object", + "ContentEmbedding": { "properties": { "values": { - "description": "The string values of the list.", + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", + "type": "array", "items": { - "type": "string" - }, - "type": "array" + "type": "number", + "format": "float" + } + }, + "shape": { + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", + "type": "array", + "items": { + "type": "integer", + "format": "int32" + } } - } + }, + "description": "A list of floats representing an embedding.", + "type": "object" }, - "CodeExecutionResult": { - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", + "CustomLongRunningOperation": { "type": "object", "properties": { - "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" - ] + "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" }, - "output": { - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", - "type": "string" + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" }, - "id": { - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "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." + }, + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "type": "object" + }, + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", "type": "string" } } }, - "SearchEntryPoint": { - "description": "Google search entry point.", - "properties": { - "renderedContent": { - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", - "type": "string" - }, - "sdkBlob": { - "type": "string", - "description": "Optional. Base64 encoded JSON representing array of tuple.", - "format": "byte" - } - }, - "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.", + "InputEmbedContentConfig": { + "description": "Configures the input to the batch request.", "type": "object", "properties": { - "modelStage": { - "description": "The stage of the underlying model.", - "enumDeprecated": [ - false, - true, - false, - false, - false, - false, - true, - false - ], - "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" - ], - "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." - ], - "type": "string" - }, - "retirementTime": { - "description": "The time at which the model will be retired.", - "format": "google-datetime", + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" }, - "message": { - "description": "A message explaining the model status.", - "type": "string" + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" } } }, - "CachedContent": { + "GenerateContentBatch": { "properties": { - "displayName": { - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", - "type": "string" - }, - "contents": { - "description": "Optional. Input only. Immutable. The content to cache.", - "items": { - "$ref": "#/components/schemas/Content" - }, - "type": "array" + "state": { + "readOnly": true, + "x-enum-descriptions": [ + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." + ], + "description": "Output only. The state of the batch.", + "type": "string", + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ] }, "updateTime": { - "description": "Output only. When the cache entry was last updated in UTC time.", "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated.", "readOnly": true, "type": "string" }, - "createTime": { + "batchStats": { + "description": "Output only. Stats about the batch.", "readOnly": true, - "type": "string", - "description": "Output only. Creation time of the cache entry.", - "format": "google-datetime" + "$ref": "#/components/schemas/BatchStats" }, "name": { - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "readOnly": true, "type": "string" }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" + "priority": { + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "type": "string", + "format": "int64" }, - "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.", + "output": { + "description": "Output only. The output of the batch request.", + "readOnly": true, + "$ref": "#/components/schemas/GenerateContentBatchOutput" + }, + "endTime": { "format": "google-datetime", + "description": "Output only. The time at which the batch processing completed.", + "readOnly": true, "type": "string" }, - "model": { - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", - "type": "string" + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputConfig" }, - "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" }, - "usageMetadata": { - "description": "Output only. Metadata on the usage of the cached content.", + "createTime": { + "format": "google-datetime", + "description": "Output only. The time at which the batch was created.", "readOnly": true, - "$ref": "#/components/schemas/CachedContentUsageMetadata" - }, - "ttl": { - "type": "string", - "description": "Input only. New TTL for this resource, input only.", - "format": "google-duration" + "type": "string" }, - "tools": { - "items": { - "$ref": "#/components/schemas/Tool" - }, - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", - "type": "array" + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" } }, - "type": "object", - "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for." + "description": "A resource representing a batch of `GenerateContent` requests.", + "type": "object" }, - "ReviewSnippet": { - "type": "object", + "Dataset": { "properties": { - "reviewId": { - "description": "The ID of the review snippet.", - "type": "string" - }, - "googleMapsUri": { - "description": "A link that corresponds to the user review on Google Maps.", - "type": "string" - }, - "title": { - "description": "Title of the review.", - "type": "string" + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" } }, - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps." + "description": "Dataset for training or validation.", + "type": "object" }, - "ExecutableCode": { - "properties": { - "id": { - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", - "type": "string" - }, - "code": { - "description": "Required. The code to be executed.", - "type": "string" - }, - "language": { - "description": "Required. Programming language of the `code`.", - "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" - ], - "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." - ] - } - }, - "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." - }, - "GroundingMetadata": { - "description": "Metadata returned to client when grounding is enabled.", - "type": "object", + "GoogleAiGenerativelanguageV1betaGroundingSupport": { "properties": { - "webSearchQueries": { + "confidenceScores": { + "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", "type": "array", "items": { - "type": "string" - }, - "description": "Web search queries for the following-up web search." + "type": "number", + "format": "float" + } }, - "imageSearchQueries": { + "groundingChunkIndices": { + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", "type": "array", - "description": "Image search queries used for grounding.", "items": { - "type": "string" + "type": "integer", + "format": "int32" } }, - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" + "segment": { + "description": "Segment of the content this support belongs to.", + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" }, - "groundingSupports": { + "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", - "description": "List of grounding support.", "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + "type": "integer", + "format": "int32" } + } + }, + "description": "Grounding support.", + "type": "object" + }, + "CreateFileRequest": { + "properties": { + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" + } + }, + "description": "Request for `CreateFile`.", + "type": "object" + }, + "CitationSource": { + "properties": { + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", + "type": "string" }, - "googleMapsWidgetContextToken": { - "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", + "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" }, - "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": { - "$ref": "#/components/schemas/GroundingChunk" - }, - "type": "array" + "startIndex": { + "format": "int32", + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", + "type": "integer" }, - "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" + "endIndex": { + "format": "int32", + "description": "Optional. End of the attributed segment, exclusive.", + "type": "integer" } - } + }, + "description": "A citation to a source for a portion of a specific response.", + "type": "object" }, - "ListFilesResponse": { - "description": "Response for `ListFiles`.", + "PromptFeedback": { + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", "type": "object", "properties": { - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", - "type": "string" + "blockReason": { + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "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" + ] }, - "files": { + "safetyRatings": { + "description": "Ratings for safety of the prompt. There is at most one rating per category.", "type": "array", - "description": "The list of `File`s.", "items": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/SafetyRating" } } } }, - "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", + "AsyncBatchEmbedContentRequest": { + "description": "Request for an `AsyncBatchEmbedContent` operation.", "type": "object", "properties": { - "name": { - "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." - }, - "role": { - "description": "Required. The role granted by this permission.", - "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" - ], - "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." - ] - }, - "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" - }, - "granteeType": { - "description": "Optional. Immutable. The type of the grantee.", - "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" - ], - "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." - ] + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/EmbedContentBatch" } } }, - "File": { - "description": "A file uploaded to the API. Next ID: 15", + "EmbedContentBatchStats": { + "description": "Stats about the batch.", "type": "object", "properties": { - "state": { - "description": "Output only. Processing state of the File.", - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ], + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", "readOnly": true, "type": "string", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "File is being processed and cannot be used for inference yet.", - "File is processed and available for inference.", - "File failed processing." - ] - }, - "error": { - "description": "Output only. Error status if File processing failed.", - "readOnly": true, - "$ref": "#/components/schemas/Status" - }, - "mimeType": { - "description": "Output only. MIME type of the file.", - "readOnly": true, - "type": "string" - }, - "videoMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/VideoFileMetadata", - "description": "Output only. Metadata for a video." - }, - "sha256Hash": { - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "format": "byte", - "readOnly": true, - "type": "string" + "format": "int64" }, - "uri": { + "requestCount": { + "description": "Output only. The number of requests in the batch.", "readOnly": true, "type": "string", - "description": "Output only. The uri of the `File`." - }, - "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" + "format": "int64" }, - "sizeBytes": { + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", "readOnly": true, "type": "string", - "description": "Output only. Size of the file in bytes.", "format": "int64" }, - "updateTime": { - "description": "Output only. The timestamp of when the `File` was last updated.", - "format": "google-datetime", + "pendingRequestCount": { + "format": "int64", + "description": "Output only. The number of requests that are still pending processing.", "readOnly": true, "type": "string" + } + } + }, + "Status": { + "properties": { + "code": { + "format": "int32", + "description": "The status code, which should be an enum value of google.rpc.Code.", + "type": "integer" }, - "source": { - "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" - ], - "description": "Source of the File.", - "x-enum-descriptions": [ - "Used if source is not specified.", - "Indicates the file is uploaded by the user.", - "Indicates the file is generated by Google.", - "Indicates the file is a registered, i.e. a Google Cloud Storage file." - ], - "type": "string" - }, - "expirationTime": { - "readOnly": true, - "type": "string", - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", - "format": "google-datetime" - }, - "downloadUri": { - "readOnly": true, - "type": "string", - "description": "Output only. The download uri of the `File`." - }, - "createTime": { - "description": "Output only. The timestamp of when the `File` was created.", - "format": "google-datetime", - "readOnly": true, - "type": "string" - }, - "name": { - "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", - "type": "string" - } - } - }, - "TuningTask": { - "description": "Tuning tasks that create tuned models.", - "properties": { - "startTime": { - "description": "Output only. The timestamp when tuning this model started.", - "format": "google-datetime", - "readOnly": true, + "message": { + "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", "type": "string" }, - "hyperparameters": { - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", - "$ref": "#/components/schemas/Hyperparameters" - }, - "snapshots": { - "readOnly": true, + "details": { + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", "type": "array", - "description": "Output only. Metrics collected during tuning.", "items": { - "$ref": "#/components/schemas/TuningSnapshot" + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } } - }, - "completeTime": { - "readOnly": true, - "type": "string", - "description": "Output only. The timestamp when tuning this model completed.", - "format": "google-datetime" - }, - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" } }, + "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" }, - "SpeechConfig": { - "description": "Config for speech generation and transcription.", + "Tool": { + "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", "type": "object", "properties": { - "voiceConfig": { - "description": "The configuration in case of single-voice output.", - "$ref": "#/components/schemas/VoiceConfig" + "computerUse": { + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", + "$ref": "#/components/schemas/ComputerUse" }, - "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" + "googleMaps": { + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", + "$ref": "#/components/schemas/GoogleMaps" }, - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" - } - } - }, - "ImageConfig": { - "properties": { - "aspectRatio": { - "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided.", - "type": "string" + "googleSearchRetrieval": { + "description": "Optional. Retrieval tool that is powered by Google search.", + "$ref": "#/components/schemas/GoogleSearchRetrieval" }, - "imageSize": { - "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", - "type": "string" - } - }, - "type": "object", - "description": "Config for image generation features." - }, - "UsageMetadata": { - "type": "object", - "properties": { - "promptTokensDetails": { - "readOnly": true, + "mcpServers": { + "description": "Optional. MCP Servers to connect to.", "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the request input." - }, - "promptTokenCount": { - "type": "integer", - "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", - "format": "int32" - }, - "toolUsePromptTokenCount": { - "readOnly": true, - "type": "integer", - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "format": "int32" - }, - "totalTokenCount": { - "type": "integer", - "description": "Total token count for the generation request (prompt + response candidates).", - "format": "int32" - }, - "candidatesTokenCount": { - "description": "Total number of tokens across all the generated response candidates.", - "format": "int32", - "type": "integer" - }, - "toolUsePromptTokensDetails": { - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed for tool-use request inputs.", - "readOnly": true, - "type": "array" - }, - "thoughtsTokenCount": { - "readOnly": true, - "type": "integer", - "description": "Output only. Number of tokens of thoughts for thinking models.", - "format": "int32" - }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content)", - "format": "int32", - "type": "integer" - }, - "cacheTokensDetails": { - "description": "Output only. List of modalities of the cached content in the request input.", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "readOnly": true, - "type": "array" + "$ref": "#/components/schemas/McpServer" + } }, - "candidatesTokensDetails": { - "readOnly": true, + "functionDeclarations": { + "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", "type": "array", - "description": "Output only. List of modalities that were returned in the response.", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/FunctionDeclaration" } }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", - "type": "integer", - "format": "int32", - "readOnly": true + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" }, - "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": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "googleSearch": { + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "$ref": "#/components/schemas/GoogleSearch" + }, + "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" } - }, - "description": "Metadata on the generation request's token usage." + } }, "Interval": { "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", + "type": "object", "properties": { "startTime": { - "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", "format": "google-datetime", + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", "type": "string" }, "endTime": { - "type": "string", "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" } - }, - "type": "object" + } }, - "GenerateContentResponse": { - "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", + "AttributionSourceId": { "properties": { - "candidates": { - "type": "array", - "description": "Candidate responses from the model.", - "items": { - "$ref": "#/components/schemas/Candidate" - } - }, - "usageMetadata": { - "description": "Output only. Metadata on the generation requests' token usage.", - "readOnly": true, - "$ref": "#/components/schemas/UsageMetadata" - }, - "modelVersion": { - "readOnly": true, - "type": "string", - "description": "Output only. The model version used to generate the response." - }, - "responseId": { - "readOnly": true, - "type": "string", - "description": "Output only. response_id is used to identify each response." - }, - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" + "groundingPassage": { + "description": "Identifier for an inline passage.", + "$ref": "#/components/schemas/GroundingPassageId" }, - "modelStatus": { - "readOnly": true, - "$ref": "#/components/schemas/ModelStatus", - "description": "Output only. The current model status of this model." + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" } }, + "description": "Identifier for the source contributing to this attribution.", "type": "object" }, - "UrlContextMetadata": { - "description": "Metadata related to url context retrieval tool.", + "EmbedContentResponse": { + "description": "The response to an `EmbedContentRequest`.", "type": "object", "properties": { - "urlMetadata": { - "type": "array", - "items": { - "$ref": "#/components/schemas/UrlMetadata" - }, - "description": "List of url context." + "embedding": { + "description": "Output only. The embedding generated from the input content.", + "readOnly": true, + "$ref": "#/components/schemas/ContentEmbedding" + }, + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbeddingUsageMetadata" } } }, - "BatchEmbedContentsRequest": { - "description": "Batch request to get embeddings from the model for a list of prompts.", + "GoogleSearch": { + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", "type": "object", "properties": { - "requests": { - "items": { - "$ref": "#/components/schemas/EmbedContentRequest" - }, - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", - "type": "array" - } - } - }, - "RegisterFilesRequest": { - "type": "object", - "properties": { - "uris": { - "type": "array", - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", - "items": { - "type": "string" - } + "timeRangeFilter": { + "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", + "$ref": "#/components/schemas/Interval" + }, + "searchTypes": { + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", + "$ref": "#/components/schemas/SearchTypes" } - }, - "description": "Request for `RegisterFiles`." + } }, - "Part": { + "RetrievedContext": { + "description": "Chunk from context retrieved by the file search tool.", + "type": "object", "properties": { - "partMetadata": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams." - }, - "text": { - "description": "Inline text.", + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", "type": "string" }, - "thoughtSignature": { - "type": "string", - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", - "format": "byte" - }, - "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`.", - "$ref": "#/components/schemas/ToolResponse" - }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" - }, - "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.", - "$ref": "#/components/schemas/ToolCall" - }, - "functionResponse": { - "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", - "$ref": "#/components/schemas/FunctionResponse" - }, - "thought": { - "description": "Optional. Indicates if the part is thought from the model.", - "type": "boolean" - }, - "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.", - "$ref": "#/components/schemas/FunctionCall" + "fileSearchStore": { + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", + "type": "string" }, - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" + "title": { + "description": "Optional. Title of the document.", + "type": "string" }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" + "text": { + "description": "Optional. Text of the chunk.", + "type": "string" }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" + "customMetadata": { + "description": "Optional. User-provided metadata about the retrieved context.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + } } - }, - "type": "object", - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes." + } }, - "ComputerUse": { + "ListGeneratedFilesResponse": { + "description": "Response for `ListGeneratedFiles`.", "type": "object", "properties": { - "environment": { - "type": "string", - "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser." - ], - "description": "Required. The environment being operated.", - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER" - ] - }, - "excludedPredefinedFunctions": { + "generatedFiles": { + "description": "The list of `GeneratedFile`s.", "type": "array", "items": { - "type": "string" - }, - "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions." - } - }, - "description": "Computer Use tool type." - }, - "StreamableHttpTransport": { - "properties": { - "timeout": { - "type": "string", - "description": "HTTP timeout for regular operations.", - "format": "google-duration" - }, - "sseReadTimeout": { - "description": "Timeout for SSE read operations.", - "format": "google-duration", - "type": "string" - }, - "headers": { - "type": "object", - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "additionalProperties": { - "type": "string" + "$ref": "#/components/schemas/GeneratedFile" } }, - "terminateOnClose": { - "description": "Whether to close the client session when the transport closes.", - "type": "boolean" - }, - "url": { - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", "type": "string" } - }, - "type": "object", - "description": "A transport that can stream HTTP requests and responses. Next ID: 6" + } }, - "Web": { + "WebSearch": { + "properties": {}, + "description": "Standard web search for grounding and related configurations.", + "type": "object" + }, + "McpServer": { + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 5", + "type": "object", "properties": { - "uri": { - "readOnly": true, - "type": "string", - "description": "Output only. URI reference of the chunk." + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" }, - "title": { - "description": "Output only. Title of the chunk.", - "readOnly": true, + "name": { + "description": "The name of the MCPServer.", "type": "string" } - }, - "type": "object", - "description": "Chunk from the web." + } }, - "GenerationConfig": { + "RetrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", "type": "object", "properties": { - "frequencyPenalty": { + "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", - "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" - }, - "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" - }, - "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.", + } + } + }, + "File": { + "properties": { + "uri": { + "description": "Output only. The uri of the `File`.", + "readOnly": true, "type": "string" }, - "mediaResolution": { + "source": { "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)." + "Used if source is not specified.", + "Indicates the file is uploaded by the user.", + "Indicates the file is generated by Google.", + "Indicates the file is a registered, i.e. a Google Cloud Storage file." ], - "type": "string", "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" ], - "description": "Optional. If specified, the media resolution specified will be used." - }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + "description": "Source of the File.", + "type": "string" }, - "imageConfig": { - "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", - "$ref": "#/components/schemas/ImageConfig" + "updateTime": { + "description": "Output only. The timestamp of when the `File` was last updated.", + "readOnly": true, + "type": "string", + "format": "google-datetime" }, - "candidateCount": { - "type": "integer", - "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", - "format": "int32" + "error": { + "description": "Output only. Error status if File processing failed.", + "readOnly": true, + "$ref": "#/components/schemas/Status" }, - "logprobs": { - "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", - "format": "int32", - "type": "integer" + "sizeBytes": { + "format": "int64", + "description": "Output only. Size of the file in bytes.", + "readOnly": true, + "type": "string" }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" + "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" }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" + "createTime": { + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` was created.", + "readOnly": true, + "type": "string" }, - "topP": { - "type": "number", - "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "format": "float" - }, - "responseModalities": { - "items": { - "x-enum-descriptions": [ - "Default value.", - "Indicates the model should return text.", - "Indicates the model should return images.", - "Indicates the model should return audio.", - "Indicates the model should return video." - ], - "type": "string", - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "AUDIO", - "VIDEO" - ] - }, - "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", - "type": "array" - }, - "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" - }, - "temperature": { - "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", - "format": "float", - "type": "number" - }, - "responseSchema": { - "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", - "$ref": "#/components/schemas/Schema" - }, - "responseLogprobs": { - "description": "Optional. If true, export the logprobs results in response.", - "type": "boolean" - }, - "thinkingConfig": { - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", - "$ref": "#/components/schemas/ThinkingConfig" - }, - "seed": { - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", - "format": "int32", - "type": "integer" - }, - "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" - } - }, - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model." - }, - "InlinedEmbedContentRequest": { - "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" - }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" - } - }, - "type": "object", - "description": "The request to be processed in the batch." - }, - "FileSearchStore": { - "properties": { - "displayName": { - "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "mimeType": { + "description": "Output only. MIME type of the file.", + "readOnly": true, "type": "string" }, - "createTime": { + "expirationTime": { + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", "readOnly": true, "type": "string", - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", "format": "google-datetime" }, - "pendingDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", - "format": "int64", + "downloadUri": { + "description": "Output only. The download uri of the `File`.", "readOnly": true, "type": "string" }, - "sizeBytes": { - "readOnly": true, + "state": { + "description": "Output only. Processing state of the File.", "type": "string", - "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", - "format": "int64" - }, - "name": { - "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", + "enum": [ + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" + ], "readOnly": true, - "type": "string" + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "File is being processed and cannot be used for inference yet.", + "File is processed and available for inference.", + "File failed processing." + ] }, - "updateTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", - "format": "google-datetime", - "readOnly": true, + "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" }, - "activeDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", - "format": "int64", + "videoMetadata": { + "description": "Output only. Metadata for a video.", "readOnly": true, - "type": "string" + "$ref": "#/components/schemas/VideoFileMetadata" }, - "failedDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", - "format": "int64", + "sha256Hash": { + "format": "byte", + "description": "Output only. SHA-256 hash of the uploaded bytes.", "readOnly": true, "type": "string" } }, - "type": "object", - "description": "A `FileSearchStore` is a collection of `Document`s." + "description": "A file uploaded to the API. Next ID: 15", + "type": "object" }, - "Candidate": { - "description": "A response candidate generated from the model.", + "ListFileSearchStoresResponse": { "properties": { - "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." - ], - "readOnly": true, - "type": "string", - "enum": [ - "FINISH_REASON_UNSPECIFIED", - "STOP", - "MAX_TOKENS", - "SAFETY", - "RECITATION", - "LANGUAGE", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "SPII", - "MALFORMED_FUNCTION_CALL", - "IMAGE_SAFETY", - "IMAGE_PROHIBITED_CONTENT", - "IMAGE_OTHER", - "NO_IMAGE", - "IMAGE_RECITATION", - "UNEXPECTED_TOOL_CALL", - "TOO_MANY_TOOL_CALLS", - "MISSING_THOUGHT_SIGNATURE", - "MALFORMED_RESPONSE" - ], - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens." - }, - "index": { - "description": "Output only. Index of the candidate in the list of response candidates.", - "format": "int32", - "readOnly": true, - "type": "integer" - }, - "tokenCount": { - "readOnly": true, - "type": "integer", - "description": "Output only. Token count for this candidate.", - "format": "int32" - }, - "logprobsResult": { - "readOnly": true, - "$ref": "#/components/schemas/LogprobsResult", - "description": "Output only. Log-likelihood scores for the response tokens and top tokens" - }, - "groundingAttributions": { - "readOnly": true, - "type": "array", - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", - "items": { - "$ref": "#/components/schemas/GroundingAttribution" - } - }, - "content": { - "readOnly": true, - "$ref": "#/components/schemas/Content", - "description": "Output only. Generated content returned from the model." - }, - "finishMessage": { - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", - "readOnly": true, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" }, - "citationMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/CitationMetadata", - "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data." - }, - "urlContextMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/UrlContextMetadata", - "description": "Output only. Metadata related to url context retrieval tool." - }, - "groundingMetadata": { - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", - "readOnly": true, - "$ref": "#/components/schemas/GroundingMetadata" - }, - "safetyRatings": { + "fileSearchStores": { + "description": "The returned rag_stores.", "type": "array", - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", "items": { - "$ref": "#/components/schemas/SafetyRating" + "$ref": "#/components/schemas/FileSearchStore" } - }, - "avgLogprobs": { - "readOnly": true, - "type": "number", - "description": "Output only. Average log probability score of the candidate.", - "format": "double" } }, + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "type": "object" }, - "GoogleSearch": { - "type": "object", + "GoogleMaps": { "properties": { - "searchTypes": { - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", - "$ref": "#/components/schemas/SearchTypes" - }, - "timeRangeFilter": { - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", - "$ref": "#/components/schemas/Interval" + "enableWidget": { + "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", + "type": "boolean" } }, - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", + "type": "object" }, - "McpServer": { - "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 5", - "type": "object", - "properties": { - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" - }, - "name": { - "description": "The name of the MCPServer.", - "type": "string" - } - } - }, - "GeneratedFile": { - "type": "object", + "GoogleSearchRetrieval": { "properties": { - "mimeType": { - "description": "MIME type of the generatedFile.", - "type": "string" - }, - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" - }, - "state": { - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Being generated.", - "Generated and is ready for download.", - "Failed to generate the GeneratedFile." - ], - "readOnly": true, - "type": "string", - "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" - ], - "description": "Output only. The state of the GeneratedFile." - }, - "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", - "type": "string" + "dynamicRetrievalConfig": { + "description": "Specifies the dynamic retrieval configuration for the given source.", + "$ref": "#/components/schemas/DynamicRetrievalConfig" } }, - "description": "A file generated on behalf of a user." + "description": "Tool to retrieve public web data for grounding, powered by Google.", + "type": "object" }, - "FunctionResponsePart": { + "GroundingMetadata": { + "description": "Metadata returned to client when grounding is enabled.", "type": "object", "properties": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" - } - }, - "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." - }, - "Image": { - "properties": { - "sourceUri": { - "description": "The web page URI for attribution.", - "type": "string" - }, - "imageUri": { - "description": "The image asset URL.", - "type": "string" + "searchEntryPoint": { + "description": "Optional. Google search entry for the following-up web searches.", + "$ref": "#/components/schemas/SearchEntryPoint" }, - "title": { - "description": "The title of the web page that the image is from.", - "type": "string" + "retrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "$ref": "#/components/schemas/RetrievalMetadata" }, - "domain": { - "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", - "type": "string" - } - }, - "type": "object", - "description": "Chunk from image search." - }, - "ListModelsResponse": { - "properties": { - "models": { + "groundingSupports": { + "description": "List of grounding support.", "type": "array", - "description": "The returned Models.", "items": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" } }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" - } - }, - "type": "object", - "description": "Response from `ListModel` containing a paginated list of Models." - }, - "FunctionResponseBlob": { - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", - "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", - "type": "string" + "webSearchQueries": { + "description": "Web search queries for the following-up web search.", + "type": "array", + "items": { + "type": "string" + } }, - "data": { - "description": "Raw bytes for media formats.", - "format": "byte", - "type": "string" - } - }, - "type": "object" - }, - "UrlMetadata": { - "description": "Context of the a single url retrieval.", - "type": "object", - "properties": { - "retrievedUrl": { - "description": "Retrieved url by the tool.", + "googleMapsWidgetContextToken": { + "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", "type": "string" }, - "urlRetrievalStatus": { - "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Url retrieval is successful.", - "Url retrieval is failed due to error.", - "Url retrieval is failed because the content is behind paywall.", - "Url retrieval is failed because the content is unsafe." - ], - "description": "Status of the url retrieval.", - "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" - ] - } - } - }, - "GoogleMaps": { - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", - "properties": { - "enableWidget": { - "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", - "type": "boolean" - } - }, - "type": "object" - }, - "ListCachedContentsResponse": { - "description": "Response with CachedContents list.", - "type": "object", - "properties": { - "cachedContents": { + "groundingChunks": { + "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", + "type": "array", "items": { - "$ref": "#/components/schemas/CachedContent" - }, - "description": "List of cached contents.", - "type": "array" + "$ref": "#/components/schemas/GroundingChunk" + } }, - "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" + "imageSearchQueries": { + "description": "Image search queries used for grounding.", + "type": "array", + "items": { + "type": "string" + } } } }, - "Blob": { - "type": "object", + "GoogleAiGenerativelanguageV1betaSegment": { "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", - "type": "string" + "startIndex": { + "format": "int32", + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", + "type": "integer" }, - "data": { - "type": "string", - "description": "Raw bytes for media formats.", - "format": "byte" - } - }, - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field." - }, - "LatLng": { - "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", - "properties": { - "latitude": { - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", - "format": "double", - "type": "number" + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "type": "integer", + "format": "int32" }, - "longitude": { - "type": "number", - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", - "format": "double" + "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" + }, + "text": { + "description": "The text corresponding to the segment from the response.", + "type": "string" } }, + "description": "Segment of the content.", "type": "object" }, "FunctionCallingConfig": { + "description": "Configuration for specifying function calling behavior.", "type": "object", "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.", @@ -5187,894 +4534,1546 @@ "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" - ] + ], + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", + "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.", + "type": "array", "items": { "type": "string" } } - }, - "description": "Configuration for specifying function calling behavior." + } }, - "Document": { - "description": "A `Document` is a collection of `Chunk`s.", + "TunedModelSource": { + "description": "Tuned model as a source for training a new model.", + "type": "object", "properties": { - "customMetadata": { - "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "type": "array" + "tunedModel": { + "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", + "type": "string" }, - "createTime": { - "description": "Output only. The Timestamp of when the `Document` was created.", - "format": "google-datetime", + "baseModel": { + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", "readOnly": true, "type": "string" - }, - "sizeBytes": { + } + } + }, + "EmbedContentBatchOutput": { + "properties": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", "readOnly": true, - "type": "string", - "description": "Output only. The size of raw bytes ingested into the Document.", - "format": "int64" + "$ref": "#/components/schemas/InlinedEmbedContentResponses" + }, + "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" + } + }, + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", + "type": "object" + }, + "Hyperparameters": { + "properties": { + "batchSize": { + "format": "int32", + "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", + "type": "integer" + }, + "learningRate": { + "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", + "type": "number", + "format": "float" + }, + "learningRateMultiplier": { + "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.", + "type": "number", + "format": "float" + }, + "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" + } + }, + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "type": "object" + }, + "ToolResponse": { + "properties": { + "id": { + "description": "Optional. The identifier of the tool call this response is for.", + "type": "string" + }, + "response": { + "description": "Optional. The tool response.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + }, + "toolType": { + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "type": "string" + } + }, + "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", + "type": "object" + }, + "VideoFileMetadata": { + "description": "Metadata for a video `File`.", + "type": "object", + "properties": { + "videoDuration": { + "format": "google-duration", + "description": "Duration of the video.", + "type": "string" + } + } + }, + "ListDocumentsResponse": { + "properties": { + "documents": { + "description": "The returned `Document`s.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Document" + } + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" + } + }, + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "type": "object" + }, + "Model": { + "description": "Information about a Generative Language Model.", + "type": "object", + "properties": { + "outputTokenLimit": { + "format": "int32", + "description": "Maximum number of output tokens available for this model.", + "type": "integer" + }, + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "type": "string" + }, + "maxTemperature": { + "format": "float", + "description": "The maximum temperature this model can use.", + "type": "number" + }, + "topP": { + "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", + "type": "number", + "format": "float" + }, + "inputTokenLimit": { + "format": "int32", + "description": "Maximum number of input tokens allowed for this model.", + "type": "integer" + }, + "displayName": { + "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", + "type": "string" + }, + "temperature": { + "format": "float", + "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", + "type": "number" + }, + "supportedGenerationMethods": { + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", + "type": "array", + "items": { + "type": "string" + } + }, + "topK": { + "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", + "type": "integer", + "format": "int32" }, "name": { - "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`", + "description": "Required. The 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" + }, + "description": { + "description": "A short description of the model.", + "type": "string" + }, + "thinking": { + "description": "Whether the model supports thinking.", + "type": "boolean" + }, + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "type": "string" + } + } + }, + "FunctionResponseBlob": { + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "type": "object", + "properties": { + "data": { + "description": "Raw bytes for media formats.", + "type": "string", + "format": "byte" + }, + "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" + } + } + }, + "EmbedContentBatch": { + "description": "A resource representing a batch of `EmbedContent` requests.", + "type": "object", + "properties": { + "endTime": { + "format": "google-datetime", + "description": "Output only. The time at which the batch processing completed.", + "readOnly": true, "type": "string" }, + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" + }, "displayName": { - "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", + "description": "Required. The user-defined name of this batch.", "type": "string" }, - "state": { + "createTime": { + "format": "google-datetime", + "description": "Output only. The time at which the batch was created.", "readOnly": true, + "type": "string" + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "state": { + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ], + "description": "Output only. The state of the batch.", "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" + "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." ], - "description": "Output only. Current state of the `Document`." + "readOnly": true }, "updateTime": { - "description": "Output only. The Timestamp of when the `Document` was last updated.", - "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "batchStats": { + "description": "Output only. Stats about the batch.", + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentBatchStats" + }, + "name": { + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "readOnly": true, "type": "string" }, - "mimeType": { - "description": "Output only. The mime type of the Document.", + "priority": { + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "type": "string", + "format": "int64" + }, + "output": { + "description": "Output only. The output of the batch request.", "readOnly": true, + "$ref": "#/components/schemas/EmbedContentBatchOutput" + } + } + }, + "GroundingChunkCustomMetadata": { + "properties": { + "stringValue": { + "description": "Optional. The string value of the metadata.", + "type": "string" + }, + "key": { + "description": "The key of the metadata.", + "type": "string" + }, + "numericValue": { + "format": "float", + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "type": "number" + }, + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" + } + }, + "description": "User provided metadata about the GroundingFact.", + "type": "object" + }, + "ListOperationsResponse": { + "properties": { + "nextPageToken": { + "description": "The standard List next-page token.", + "type": "string" + }, + "operations": { + "description": "A list of operations that matches the specified filter in the request.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Operation" + } + }, + "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": { + "type": "string" + } + } + }, + "description": "The response message for Operations.ListOperations.", + "type": "object" + }, + "TopCandidates": { + "properties": { + "candidates": { + "description": "Sorted by log probability in descending order.", + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + } + } + }, + "description": "Candidates with top log probabilities at each decoding step.", + "type": "object" + }, + "ThinkingConfig": { + "description": "Config for thinking features.", + "type": "object", + "properties": { + "thinkingLevel": { + "x-enum-descriptions": [ + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." + ], + "enum": [ + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" + ], + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", + "type": "string" + }, + "thinkingBudget": { + "format": "int32", + "description": "The number of thoughts tokens that the model should generate.", + "type": "integer" + }, + "includeThoughts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", + "type": "boolean" + } + } + }, + "FunctionResponsePart": { + "properties": { + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/FunctionResponseBlob" + } + }, + "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "type": "object" + }, + "ImageSearch": { + "properties": {}, + "description": "Image search for grounding and related configurations.", + "type": "object" + }, + "LogprobsResult": { + "properties": { + "topCandidates": { + "description": "Length = total number of decoding steps.", + "type": "array", + "items": { + "$ref": "#/components/schemas/TopCandidates" + } + }, + "chosenCandidates": { + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + } + }, + "logProbabilitySum": { + "description": "Sum of log probabilities for all tokens.", + "type": "number", + "format": "float" + } + }, + "description": "Logprobs Result", + "type": "object" + }, + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", + "type": "object", + "properties": { + "urlMetadata": { + "description": "List of url context.", + "type": "array", + "items": { + "$ref": "#/components/schemas/UrlMetadata" + } + } + } + }, + "CountTokensRequest": { + "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", + "type": "object", + "properties": { + "contents": { + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + } + }, + "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.", + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + }, + "VideoMetadata": { + "deprecated": true, + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "type": "object", + "properties": { + "startOffset": { + "description": "Optional. The start offset of the video.", + "type": "string", + "format": "google-duration" + }, + "endOffset": { + "format": "google-duration", + "description": "Optional. The end offset of the video.", + "type": "string" + }, + "fps": { + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", + "type": "number", + "format": "double" + } + } + }, + "CachedContentUsageMetadata": { + "properties": { + "totalTokenCount": { + "format": "int32", + "description": "Total number of tokens that the cached content consumes.", + "type": "integer" + } + }, + "description": "Metadata on the usage of the cached content.", + "type": "object" + }, + "BatchEmbedContentsResponse": { + "description": "The response to a `BatchEmbedContentsRequest`.", + "type": "object", + "properties": { + "embeddings": { + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ContentEmbedding" + } + }, + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbeddingUsageMetadata" + } + } + }, + "FunctionResponse": { + "properties": { + "parts": { + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", + "type": "array", + "items": { + "$ref": "#/components/schemas/FunctionResponsePart" + } + }, + "scheduling": { + "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", + "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" + ] + }, + "id": { + "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", + "type": "string" + }, + "response": { + "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.", + "type": "object" + }, + "name": { + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", + "type": "string" + }, + "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.", + "type": "object" + }, + "InlinedEmbedContentRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "type": "object", + "properties": { + "requests": { + "description": "Required. The requests to be processed in the batch.", + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentRequest" + } + } + } + }, + "ListPermissionsResponse": { + "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "type": "object", + "properties": { + "permissions": { + "description": "Returned permissions.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Permission" + } + }, + "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" + } + } + }, + "TuningTask": { + "properties": { + "completeTime": { + "format": "google-datetime", + "description": "Output only. The timestamp when tuning this model completed.", + "readOnly": true, + "type": "string" + }, + "hyperparameters": { + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", + "$ref": "#/components/schemas/Hyperparameters" + }, + "startTime": { + "format": "google-datetime", + "description": "Output only. The timestamp when tuning this model started.", + "readOnly": true, + "type": "string" + }, + "snapshots": { + "description": "Output only. Metrics collected during tuning.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/TuningSnapshot" + } + }, + "trainingData": { + "description": "Required. Input only. Immutable. The model training data.", + "$ref": "#/components/schemas/Dataset" + } + }, + "description": "Tuning tasks that create tuned models.", + "type": "object" + }, + "Schema": { + "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", + "type": "object", + "properties": { + "minItems": { + "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "type": "string", + "format": "int64" + }, + "maxItems": { + "format": "int64", + "description": "Optional. Maximum number of the elements for Type.ARRAY.", + "type": "string" + }, + "minimum": { + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", + "type": "number", + "format": "double" + }, + "minLength": { + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "type": "string", + "format": "int64" + }, + "default": { + "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." + }, + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + "type": "string" + }, + "maxProperties": { + "description": "Optional. Maximum number of the properties for Type.OBJECT.", + "type": "string", + "format": "int64" + }, + "propertyOrdering": { + "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", + "type": "array", + "items": { + "type": "string" + } + }, + "enum": { + "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", + "type": "array", + "items": { + "type": "string" + } + }, + "maximum": { + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", + "type": "number", + "format": "double" + }, + "type": { + "x-enum-descriptions": [ + "Not specified, should not be used.", + "String type.", + "Number type.", + "Integer type.", + "Boolean type.", + "Array type.", + "Object type.", + "Null type." + ], + "enum": [ + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" + ], + "description": "Required. Data type.", + "type": "string" + }, + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" + }, + "format": { + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", + "type": "string" + }, + "minProperties": { + "description": "Optional. Minimum number of the properties for Type.OBJECT.", + "type": "string", + "format": "int64" + }, + "maxLength": { + "format": "int64", + "description": "Optional. Maximum length of the Type.STRING", + "type": "string" + }, + "pattern": { + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", + "type": "string" + }, + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" + }, + "anyOf": { + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Schema" + } + }, + "required": { + "description": "Optional. Required properties of Type.OBJECT.", + "type": "array", + "items": { + "type": "string" + } + }, + "title": { + "description": "Optional. The title of the schema.", + "type": "string" + }, + "properties": { + "additionalProperties": { + "$ref": "#/components/schemas/Schema" + }, + "description": "Optional. Properties of Type.OBJECT.", + "type": "object" + }, + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." + } + } + }, + "Operation": { + "description": "This resource represents a long-running operation that is the result of a network API call.", + "type": "object", + "properties": { + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" + }, + "response": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "type": "object" + }, + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "type": "string" + }, + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" + }, + "metadata": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "type": "object" + } + } + }, + "RetrievalConfig": { + "properties": { + "latLng": { + "description": "Optional. The location of the user.", + "$ref": "#/components/schemas/LatLng" + }, + "languageCode": { + "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", "type": "string" } }, + "description": "Retrieval config.", "type": "object" }, - "Tool": { + "BatchStats": { + "description": "Stats about the batch.", + "type": "object", "properties": { - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" - }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" - }, - "googleMaps": { - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", - "$ref": "#/components/schemas/GoogleMaps" - }, - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" - }, - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" - }, - "mcpServers": { - "items": { - "$ref": "#/components/schemas/McpServer" - }, - "description": "Optional. MCP Servers to connect to.", - "type": "array" + "requestCount": { + "format": "int64", + "description": "Output only. The number of requests in the batch.", + "readOnly": true, + "type": "string" }, - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", + "readOnly": true, + "type": "string", + "format": "int64" }, - "functionDeclarations": { - "type": "array", - "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", - "items": { - "$ref": "#/components/schemas/FunctionDeclaration" - } + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", + "readOnly": true, + "type": "string", + "format": "int64" }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", + "readOnly": true, + "type": "string", + "format": "int64" } - }, - "type": "object", - "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16" + } }, - "TuningExample": { - "description": "A single example for tuning.", + "CustomMetadata": { "properties": { - "textInput": { - "description": "Optional. Text model input.", + "stringValue": { + "description": "The string value of the metadata to store.", "type": "string" }, - "output": { - "description": "Required. The expected model output.", + "key": { + "description": "Required. The key of the metadata to store.", "type": "string" + }, + "numericValue": { + "description": "The numeric value of the metadata to store.", + "type": "number", + "format": "float" + }, + "stringListValue": { + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" } }, + "description": "User provided metadata stored as key-value pairs.", "type": "object" }, - "VideoFileMetadata": { - "description": "Metadata for a video `File`.", + "GenerateContentBatchOutput": { "properties": { - "videoDuration": { - "description": "Duration of the video.", - "format": "google-duration", + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "readOnly": true, + "$ref": "#/components/schemas/InlinedResponses" + }, + "responsesFile": { + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "readOnly": true, "type": "string" } }, + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", "type": "object" }, - "InlinedResponses": { - "type": "object", + "ChunkingConfig": { "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", - "items": { - "$ref": "#/components/schemas/InlinedResponse" - }, - "readOnly": true, - "type": "array" + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" } }, - "description": "The responses to the requests in the batch." + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", + "type": "object" }, - "FunctionResponse": { + "GenerationConfig": { + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "type": "object", "properties": { - "id": { - "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", - "type": "string" - }, - "response": { - "type": "object", - "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model.", - "additionalProperties": { - "description": "Properties of the object." + "stopSequences": { + "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", + "type": "array", + "items": { + "type": "string" } }, - "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`.", + "speechConfig": { + "description": "Optional. The speech generation config.", + "$ref": "#/components/schemas/SpeechConfig" + }, + "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" + }, + "responseSchema": { + "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", + "$ref": "#/components/schemas/Schema" + }, + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", "type": "boolean" }, - "parts": { + "seed": { + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", + "type": "integer", + "format": "int32" + }, + "responseModalities": { + "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", "type": "array", - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", "items": { - "$ref": "#/components/schemas/FunctionResponsePart" + "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" + ] } }, - "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.", - "enum": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" - ], - "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." - ] + "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.", + "$ref": "#/components/schemas/ImageConfig" }, - "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", - "type": "string" - } - }, - "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction." - }, - "TuningExamples": { - "description": "A set of tuning examples. Can be training or validation data.", - "type": "object", - "properties": { - "examples": { - "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", - "items": { - "$ref": "#/components/schemas/TuningExample" - }, - "type": "array" - } - } - }, - "SafetyRating": { - "properties": { - "category": { - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ], - "type": "string", - "description": "Required. The category for this rating.", - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ] + "candidateCount": { + "format": "int32", + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", + "type": "integer" }, - "probability": { - "description": "Required. The probability of harm for this content.", - "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", - "LOW", - "MEDIUM", - "HIGH" - ], + "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" + }, + "topK": { + "format": "int32", + "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "type": "integer" + }, + "mediaResolution": { + "description": "Optional. If specified, the media resolution specified will be used.", "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." + "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" ] }, - "blocked": { - "description": "Was this content blocked because of this rating?", - "type": "boolean" - } - }, - "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." - }, - "CachedContentUsageMetadata": { - "description": "Metadata on the usage of the cached content.", - "type": "object", - "properties": { - "totalTokenCount": { + "maxOutputTokens": { + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", "type": "integer", - "description": "Total number of tokens that the cached content consumes.", "format": "int32" - } - } - }, - "FunctionDeclaration": { - "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", - "properties": { - "name": { - "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", - "type": "string" }, - "parametersJsonSchema": { - "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." + "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" }, - "description": { - "description": "Required. A brief description of the function.", - "type": "string" + "topP": { + "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "type": "number", + "format": "float" }, - "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" + "logprobs": { + "format": "int32", + "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", + "type": "integer" }, - "behavior": { - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", - "enum": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" - ], - "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." - ] + "temperature": { + "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].", + "type": "number" + }, + "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" }, "responseJsonSchema": { - "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." }, - "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.", - "$ref": "#/components/schemas/Schema" + "responseLogprobs": { + "description": "Optional. If true, export the logprobs results in response.", + "type": "boolean" } - }, - "type": "object" + } }, - "PromptFeedback": { - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", + "SpeakerVoiceConfig": { "properties": { - "blockReason": { - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", - "Prompt was blocked due to unknown reasons.", - "Prompt was blocked due to the terms which are included from the terminology blocklist.", - "Prompt was blocked due to prohibited content.", - "Candidates blocked due to unsafe image generation content." - ], - "type": "string", - "enum": [ - "BLOCK_REASON_UNSPECIFIED", - "SAFETY", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "IMAGE_SAFETY" - ], - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt." + "speaker": { + "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", + "type": "string" }, - "safetyRatings": { - "items": { - "$ref": "#/components/schemas/SafetyRating" - }, - "description": "Ratings for safety of the prompt. There is at most one rating per category.", - "type": "array" + "voiceConfig": { + "description": "Required. The configuration for the voice to use.", + "$ref": "#/components/schemas/VoiceConfig" } }, + "description": "The configuration for a single speaker in a multi speaker setup.", "type": "object" }, - "CreateFileResponse": { + "LatLng": { + "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", + "type": "object", "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" + "latitude": { + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "type": "number", + "format": "double" + }, + "longitude": { + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "type": "number", + "format": "double" } - }, - "type": "object", - "description": "Response for `CreateFile`." + } }, - "ImportFileRequest": { - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", + "RegisterFilesRequest": { + "description": "Request for `RegisterFiles`.", + "type": "object", "properties": { - "customMetadata": { + "uris": { + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "type": "array", "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the file.", - "type": "array" - }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" - }, - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", - "type": "string" + "type": "string" + } } - }, - "type": "object" + } }, - "SpeakerVoiceConfig": { + "ImageConfig": { + "description": "Config for image generation features.", "type": "object", "properties": { - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" + "imageSize": { + "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", + "type": "string" }, - "speaker": { - "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", + "aspectRatio": { + "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided.", "type": "string" } - }, - "description": "The configuration for a single speaker in a multi speaker setup." + } }, - "InlinedEmbedContentRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "ToolCall": { + "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", "type": "object", "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" + "toolType": { + "description": "Required. The type of tool that was called.", + "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" + ] + }, + "args": { + "additionalProperties": { + "description": "Properties of the object." }, - "type": "array" + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", + "type": "object" + }, + "id": { + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "type": "string" } } }, - "VideoMetadata": { + "CitationMetadata": { + "properties": { + "citationSources": { + "description": "Citations to sources for a specific response.", + "type": "array", + "items": { + "$ref": "#/components/schemas/CitationSource" + } + } + }, + "description": "A collection of source attributions for a piece of content.", + "type": "object" + }, + "TransferOwnershipResponse": { + "properties": {}, + "description": "Response from `TransferOwnership`.", + "type": "object" + }, + "Image": { "properties": { - "startOffset": { - "description": "Optional. The start offset of the video.", - "format": "google-duration", + "sourceUri": { + "description": "The web page URI for attribution.", "type": "string" }, - "endOffset": { - "description": "Optional. The end offset of the video.", - "format": "google-duration", + "title": { + "description": "The title of the web page that the image is from.", "type": "string" }, - "fps": { - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", - "format": "double", - "type": "number" - } - }, - "type": "object", - "deprecated": true, - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content." - }, - "AsyncBatchEmbedContentRequest": { - "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" + "domain": { + "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "type": "string" + }, + "imageUri": { + "description": "The image asset URL.", + "type": "string" } }, - "type": "object", - "description": "Request for an `AsyncBatchEmbedContent` operation." + "description": "Chunk from image search.", + "type": "object" }, - "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.", + "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.", "type": "object", "properties": { - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" - }, - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" + "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." + ], + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ], + "description": "Required. Programming language of the `code`.", + "type": "string" }, - "maps": { - "description": "Optional. Grounding chunk from Google Maps.", - "$ref": "#/components/schemas/Maps" + "code": { + "description": "Required. The code to be executed.", + "type": "string" }, - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" + "id": { + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", + "type": "string" } } }, - "EmbedContentBatchStats": { - "description": "Stats about the batch.", + "Corpus": { + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "type": "object", "properties": { - "failedRequestCount": { + "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", - "description": "Output only. The number of requests that failed to be processed.", - "format": "int64" + "type": "string" }, - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", - "format": "int64", - "readOnly": true, + "displayName": { + "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", "type": "string" }, - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "format": "int64", + "createTime": { + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Corpus` was created.", "readOnly": true, "type": "string" }, - "pendingRequestCount": { + "updateTime": { + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Corpus` was last updated.", "readOnly": true, - "type": "string", - "description": "Output only. The number of requests that are still pending processing.", - "format": "int64" + "type": "string" } } }, - "EmbedContentRequest": { - "description": "Request containing the `Content` for the model to embed.", + "Candidate": { + "description": "A response candidate generated from the model.", "type": "object", "properties": { - "outputDimensionality": { - "description": "Optional. 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", - "type": "integer" + "content": { + "description": "Output only. Generated content returned from the model.", + "readOnly": true, + "$ref": "#/components/schemas/Content" }, - "taskType": { + "logprobsResult": { + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "readOnly": true, + "$ref": "#/components/schemas/LogprobsResult" + }, + "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, + "$ref": "#/components/schemas/CitationMetadata" + }, + "groundingMetadata": { + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "readOnly": true, + "$ref": "#/components/schemas/GroundingMetadata" + }, + "avgLogprobs": { + "description": "Output only. Average log probability score of the candidate.", + "readOnly": true, + "type": "number", + "format": "double" + }, + "finishReason": { "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." + "Default value. This value is unused.", + "Natural stop point of the model or provided stop sequence.", + "The maximum number of tokens as specified in the request was reached.", + "The response candidate content was flagged for safety reasons.", + "The response candidate content was flagged for recitation reasons.", + "The response candidate content was flagged for using an unsupported language.", + "Unknown reason.", + "Token generation stopped because the content contains forbidden terms.", + "Token generation stopped for potentially containing prohibited content.", + "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", + "The function call generated by the model is invalid.", + "Token generation stopped because generated images contain safety violations.", + "Image generation stopped because generated images has other prohibited content.", + "Image generation stopped because of other miscellaneous issue.", + "The model was expected to generate an image, but none was generated.", + "Image generation stopped due to recitation.", + "Model generated a tool call but no tools were enabled in the request.", + "Model called too many tools consecutively, thus the system exited execution.", + "Request has at least one thought signature missing.", + "Finished due to malformed response." ], - "type": "string", + "readOnly": true, "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" + "FINISH_REASON_UNSPECIFIED", + "STOP", + "MAX_TOKENS", + "SAFETY", + "RECITATION", + "LANGUAGE", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "SPII", + "MALFORMED_FUNCTION_CALL", + "IMAGE_SAFETY", + "IMAGE_PROHIBITED_CONTENT", + "IMAGE_OTHER", + "NO_IMAGE", + "IMAGE_RECITATION", + "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", + "MISSING_THOUGHT_SIGNATURE", + "MALFORMED_RESPONSE" ], - "description": "Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`)." - }, - "model": { - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", - "type": "string" - }, - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" - }, - "title": { - "description": "Optional. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", "type": "string" - } - } - }, - "WhiteSpaceConfig": { - "description": "Configuration for a white space chunking algorithm [white space delimited].", - "type": "object", - "properties": { - "maxTokensPerChunk": { - "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", - "format": "int32", - "type": "integer" }, - "maxOverlapTokens": { - "type": "integer", - "description": "Maximum number of overlapping tokens between two adjacent chunks.", - "format": "int32" - } - } - }, - "TuningSnapshot": { - "description": "Record for a single tuning step.", - "type": "object", - "properties": { - "meanLoss": { - "description": "Output only. The mean loss of the training examples for this step.", - "format": "float", - "readOnly": true, - "type": "number" + "safetyRatings": { + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetyRating" + } }, - "step": { + "index": { + "description": "Output only. Index of the candidate in the list of response candidates.", "readOnly": true, "type": "integer", - "description": "Output only. The tuning step.", "format": "int32" }, - "epoch": { - "description": "Output only. The epoch this step was part of.", - "format": "int32", + "urlContextMetadata": { + "description": "Output only. Metadata related to url context retrieval tool.", "readOnly": true, - "type": "integer" + "$ref": "#/components/schemas/UrlContextMetadata" }, - "computeTime": { + "finishMessage": { + "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", "readOnly": true, - "type": "string", - "description": "Output only. The timestamp when this metric was computed.", - "format": "google-datetime" - } - } - }, - "ListOperationsResponse": { - "properties": { - "operations": { - "description": "A list of operations that matches the specified filter in the request.", - "items": { - "$ref": "#/components/schemas/Operation" - }, - "type": "array" + "type": "string" }, - "unreachable": { + "tokenCount": { + "format": "int32", + "description": "Output only. Token count for this candidate.", + "readOnly": true, + "type": "integer" + }, + "groundingAttributions": { + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", + "readOnly": true, "type": "array", - "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", "items": { - "type": "string" + "$ref": "#/components/schemas/GroundingAttribution" } - }, - "nextPageToken": { - "description": "The standard List next-page token.", - "type": "string" - } - }, - "type": "object", - "description": "The response message for Operations.ListOperations." - }, - "InlinedRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", - "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", - "items": { - "$ref": "#/components/schemas/InlinedRequest" - }, - "type": "array" } - }, - "type": "object" + } }, - "MultiSpeakerVoiceConfig": { - "description": "The configuration for the multi-speaker setup.", + "CreateFileResponse": { + "description": "Response for `CreateFile`.", "type": "object", "properties": { - "speakerVoiceConfigs": { - "description": "Required. All the enabled speaker voices.", - "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" - }, - "type": "array" + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" } } }, - "Empty": { - "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", - "type": "object", - "properties": {} - }, - "Content": { + "FileData": { + "description": "URI based data.", "type": "object", "properties": { - "parts": { - "items": { - "$ref": "#/components/schemas/Part" - }, - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", - "type": "array" + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", + "type": "string" }, - "role": { - "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "fileUri": { + "description": "Required. URI.", "type": "string" } - }, - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn." + } }, - "GoogleSearchRetrieval": { + "SpeechConfig": { + "description": "Config for speech generation and transcription.", + "type": "object", "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" + "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" + }, + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" + }, + "multiSpeakerVoiceConfig": { + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" } - }, - "type": "object", - "description": "Tool to retrieve public web data for grounding, powered by Google." + } }, - "UploadToFileSearchStoreRequest": { + "Document": { + "description": "A `Document` is a collection of `Chunk`s.", + "type": "object", "properties": { + "updateTime": { + "description": "Output only. The Timestamp of when the `Document` was last updated.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "state": { + "description": "Output only. Current state of the `Document`.", + "type": "string", + "enum": [ + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" + ], + "readOnly": true, + "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." + ] + }, + "sizeBytes": { + "format": "int64", + "description": "Output only. The size of raw bytes ingested into the Document.", + "readOnly": true, + "type": "string" + }, "displayName": { - "description": "Optional. Display name of the created document.", + "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" }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "createTime": { + "description": "Output only. The Timestamp of when the `Document` was created.", + "readOnly": true, + "type": "string", + "format": "google-datetime" }, - "mimeType": { - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", + "name": { + "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`", "type": "string" }, "customMetadata": { + "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", + "type": "array", "items": { "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the data.", - "type": "array" - } - }, - "type": "object", - "description": "Request for `UploadToFileSearchStore`." - }, - "VoiceConfig": { - "type": "object", - "properties": { - "prebuiltVoiceConfig": { - "description": "The configuration for the prebuilt voice to use.", - "$ref": "#/components/schemas/PrebuiltVoiceConfig" - } - }, - "description": "The configuration for the voice to use." - }, - "PlaceAnswerSources": { - "properties": { - "reviewSnippets": { - "items": { - "$ref": "#/components/schemas/ReviewSnippet" - }, - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", - "type": "array" + } + }, + "mimeType": { + "description": "Output only. The mime type of the Document.", + "readOnly": true, + "type": "string" } - }, - "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." + } }, - "InlinedEmbedContentResponses": { + "GroundingAttribution": { "properties": { - "inlinedResponses": { - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" - }, - "description": "Output only. The responses to the requests in the batch.", + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" + }, + "sourceId": { + "description": "Output only. Identifier for the source contributing to this attribution.", "readOnly": true, - "type": "array" + "$ref": "#/components/schemas/AttributionSourceId" } }, - "type": "object", - "description": "The responses to the requests in the batch." - }, - "WebSearch": { - "type": "object", - "properties": {}, - "description": "Standard web search for grounding and related configurations." + "description": "Attribution for a source that contributed to an answer.", + "type": "object" }, - "CustomLongRunningOperation": { + "InlinedEmbedContentRequest": { + "description": "The request to be processed in the batch.", "type": "object", "properties": { - "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", - "type": "string" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/EmbedContentRequest" }, "metadata": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "type": "object" - }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" - }, - "response": { + "description": "Optional. The metadata to be associated with the request.", "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." + "description": "Properties of the object." } - }, - "done": { - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", - "type": "boolean" } } }, - "GroundingPassageId": { + "FunctionDeclaration": { + "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", + "type": "object", "properties": { - "partIndex": { - "readOnly": true, - "type": "integer", - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", - "format": "int32" + "description": { + "description": "Required. A brief description of the function.", + "type": "string" }, - "passageId": { - "readOnly": true, + "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" + }, + "name": { + "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", + "type": "string" + }, + "responseJsonSchema": { + "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." + }, + "behavior": { + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", "type": "string", - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`." - } - }, - "type": "object", - "description": "Identifier for a part within a `GroundingPassage`." - }, - "UrlContext": { - "type": "object", - "properties": {}, - "description": "Tool to support URL context retrieval." + "x-enum-descriptions": [ + "This value is unused.", + "If set, the system will wait to receive the function response before continuing the conversation.", + "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." + ], + "enum": [ + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" + ] + }, + "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.", + "$ref": "#/components/schemas/Schema" + }, + "parametersJsonSchema": { + "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." + } + } }, - "InlinedResponse": { + "TuningExamples": { + "description": "A set of tuning examples. Can be training or validation data.", "type": "object", "properties": { - "response": { - "description": "Output only. The response to the request.", - "readOnly": true, - "$ref": "#/components/schemas/GenerateContentResponse" - }, - "metadata": { - "readOnly": true, - "type": "object", - "description": "Output only. The metadata associated with the request.", - "additionalProperties": { - "description": "Properties of the object." + "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": { + "$ref": "#/components/schemas/TuningExample" } - }, - "error": { - "description": "Output only. The error encountered while processing the request.", - "readOnly": true, - "$ref": "#/components/schemas/Status" } - }, - "description": "The response to a single request in the batch." + } }, - "ThinkingConfig": { + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "type": "object", "properties": { - "includeThoughts": { - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", - "type": "boolean" + "functionCallingConfig": { + "description": "Optional. Function calling config.", + "$ref": "#/components/schemas/FunctionCallingConfig" }, - "thinkingLevel": { - "type": "string", - "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." - ], - "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", - "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" - ] + "retrievalConfig": { + "description": "Optional. Retrieval config.", + "$ref": "#/components/schemas/RetrievalConfig" }, - "thinkingBudget": { - "type": "integer", - "description": "The number of thoughts tokens that the model should generate.", - "format": "int32" + "includeServerSideToolInvocations": { + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", + "type": "boolean" } - }, - "type": "object", - "description": "Config for thinking features." + } }, "Maps": { "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", "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" + }, + "uri": { + "description": "URI reference of the place.", + "type": "string" + }, "text": { "description": "Text description of the place answer.", "type": "string" @@ -6083,282 +6082,178 @@ "description": "Sources that provide answers about the features of a given place in Google Maps.", "$ref": "#/components/schemas/PlaceAnswerSources" }, - "uri": { - "description": "URI reference of the place.", - "type": "string" - }, "title": { "description": "Title of the place.", "type": "string" - }, - "placeId": { - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", - "type": "string" } } }, - "CustomMetadata": { + "GroundingChunk": { "properties": { - "numericValue": { - "type": "number", - "description": "The numeric value of the metadata to store.", - "format": "float" + "maps": { + "description": "Optional. Grounding chunk from Google Maps.", + "$ref": "#/components/schemas/Maps" }, - "key": { - "description": "Required. The key of the metadata to store.", - "type": "string" + "web": { + "description": "Grounding chunk from the web.", + "$ref": "#/components/schemas/Web" }, - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" }, - "stringValue": { - "description": "The string value of the metadata to store.", - "type": "string" + "image": { + "description": "Optional. Grounding chunk from image search.", + "$ref": "#/components/schemas/Image" } }, - "type": "object", - "description": "User provided metadata stored as key-value pairs." + "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", + "type": "object" }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", + "Web": { + "description": "Chunk from the web.", "type": "object", "properties": { - "values": { - "items": { - "type": "string" - }, - "description": "The string values of the metadata to store.", - "type": "array" - } - } - }, - "ListPermissionsResponse": { - "description": "Response from `ListPermissions` containing a paginated list of permissions.", - "properties": { - "permissions": { - "description": "Returned permissions.", - "items": { - "$ref": "#/components/schemas/Permission" - }, - "type": "array" + "uri": { + "description": "Output only. URI reference of the chunk.", + "readOnly": true, + "type": "string" }, - "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.", + "title": { + "description": "Output only. Title of the chunk.", + "readOnly": true, "type": "string" } - }, - "type": "object" + } }, - "ToolCall": { + "InlinedResponse": { + "description": "The response to a single request in the batch.", + "type": "object", "properties": { - "id": { - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", - "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.", - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ] - }, - "args": { + "metadata": { + "description": "Output only. The metadata associated with the request.", + "readOnly": true, + "type": "object", "additionalProperties": { "description": "Properties of the object." - }, - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", - "type": "object" - } - }, - "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`." - }, - "GenerateContentRequest": { - "description": "Request to generate a completion from the model.", - "type": "object", - "properties": { - "tools": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" - }, - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more." - }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "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.", - "$ref": "#/components/schemas/ToolConfig" - }, - "store": { - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", - "type": "boolean" - }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" - }, - "contents": { - "type": "array", - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", - "items": { - "$ref": "#/components/schemas/Content" } }, - "safetySettings": { - "items": { - "$ref": "#/components/schemas/SafetySetting" - }, - "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", - "type": "array" - }, - "cachedContent": { - "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", - "type": "string" - }, - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" + "error": { + "description": "Output only. The error encountered while processing the request.", + "readOnly": true, + "$ref": "#/components/schemas/Status" }, - "serviceTier": { - "type": "string", - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ], - "description": "Optional. The service tier of the request.", - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ] + "response": { + "description": "Output only. The response to the request.", + "readOnly": true, + "$ref": "#/components/schemas/GenerateContentResponse" } } }, - "GenerateContentBatchOutput": { + "InputConfig": { "properties": { - "responsesFile": { - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "readOnly": true, + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" }, - "inlinedResponses": { - "readOnly": true, - "$ref": "#/components/schemas/InlinedResponses", - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedRequests" } }, - "type": "object", - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field." + "description": "Configures the input to the batch request.", + "type": "object" }, - "LogprobsResultCandidate": { - "type": "object", + "TuningSnapshot": { "properties": { - "tokenId": { + "computeTime": { + "description": "Output only. The timestamp when this metric was computed.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "step": { + "description": "Output only. The tuning step.", + "readOnly": true, "type": "integer", - "description": "The candidate\u2019s token id value.", "format": "int32" }, - "token": { - "description": "The candidate\u2019s token string value.", - "type": "string" - }, - "logProbability": { + "meanLoss": { + "description": "Output only. The mean loss of the training examples for this step.", + "readOnly": true, "type": "number", - "description": "The candidate's log probability.", "format": "float" + }, + "epoch": { + "description": "Output only. The epoch this step was part of.", + "readOnly": true, + "type": "integer", + "format": "int32" } }, - "description": "Candidate for the logprobs token and score." + "description": "Record for a single tuning step.", + "type": "object" }, - "InlinedRequest": { + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", + "type": "object", "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" - }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" + "speakerVoiceConfigs": { + "description": "Required. All the enabled speaker voices.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SpeakerVoiceConfig" + } } - }, - "type": "object", - "description": "The request to be processed in the batch." + } }, - "CitationMetadata": { + "GenerateContentResponse": { "properties": { - "citationSources": { - "description": "Citations to sources for a specific response.", + "candidates": { + "description": "Candidate responses from the model.", + "type": "array", "items": { - "$ref": "#/components/schemas/CitationSource" - }, - "type": "array" + "$ref": "#/components/schemas/Candidate" + } + }, + "usageMetadata": { + "description": "Output only. Metadata on the generation requests' token usage.", + "readOnly": true, + "$ref": "#/components/schemas/UsageMetadata" + }, + "responseId": { + "description": "Output only. response_id is used to identify each response.", + "readOnly": true, + "type": "string" + }, + "modelStatus": { + "description": "Output only. The current model status of this model.", + "readOnly": true, + "$ref": "#/components/schemas/ModelStatus" + }, + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" + }, + "modelVersion": { + "description": "Output only. The model version used to generate the response.", + "readOnly": true, + "type": "string" } }, - "type": "object", - "description": "A collection of source attributions for a piece of content." + "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", + "type": "object" }, - "SafetySetting": { - "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", + "SafetyRating": { + "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", "type": "object", "properties": { - "threshold": { - "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." - ], - "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" - ] + "blocked": { + "description": "Was this content blocked because of this rating?", + "type": "boolean" }, "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." - ], + "description": "Required. The category for this rating.", "type": "string", "enum": [ "HARM_CATEGORY_UNSPECIFIED", @@ -6388,211 +6283,316 @@ false, true ], - "description": "Required. The category for this setting." + "x-enum-descriptions": [ + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ] + }, + "probability": { + "description": "Required. The probability of harm for this content.", + "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" + ] } } }, - "ImageSearch": { - "properties": {}, - "type": "object", - "description": "Image search for grounding and related configurations." + "SemanticRetrieverChunk": { + "properties": { + "source": { + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", + "readOnly": true, + "type": "string" + }, + "chunk": { + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "readOnly": true, + "type": "string" + } + }, + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", + "type": "object" }, - "SearchTypes": { - "description": "Different types of search that can be enabled on the GoogleSearch tool.", + "ComputerUse": { + "description": "Computer Use tool type.", "type": "object", "properties": { - "webSearch": { - "description": "Optional. Enables web search. Only text results are returned.", - "$ref": "#/components/schemas/WebSearch" + "environment": { + "x-enum-descriptions": [ + "Defaults to browser.", + "Operates in a web browser." + ], + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER" + ], + "description": "Required. The environment being operated.", + "type": "string" }, - "imageSearch": { - "description": "Optional. Enables image search. Image bytes are returned.", - "$ref": "#/components/schemas/ImageSearch" + "excludedPredefinedFunctions": { + "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", + "type": "array", + "items": { + "type": "string" + } } } }, - "BatchStats": { - "type": "object", + "Blob": { "properties": { - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "format": "int64", - "readOnly": true, + "data": { + "description": "Raw bytes for media formats.", + "type": "string", + "format": "byte" + }, + "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" + } + }, + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", + "type": "object" + }, + "StreamableHttpTransport": { + "properties": { + "sseReadTimeout": { + "format": "google-duration", + "description": "Timeout for SSE read operations.", "type": "string" }, - "pendingRequestCount": { - "description": "Output only. The number of requests that are still pending processing.", - "format": "int64", - "readOnly": true, + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" + }, + "headers": { + "additionalProperties": { + "type": "string" + }, + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "type": "object" + }, + "timeout": { + "format": "google-duration", + "description": "HTTP timeout for regular operations.", "type": "string" }, - "successfulRequestCount": { - "readOnly": true, - "type": "string", - "description": "Output only. The number of requests that were successfully processed.", - "format": "int64" + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "type": "string" + } + }, + "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "type": "object" + }, + "WhiteSpaceConfig": { + "properties": { + "maxTokensPerChunk": { + "format": "int32", + "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", + "type": "integer" }, - "failedRequestCount": { - "readOnly": true, - "type": "string", - "description": "Output only. The number of requests that failed to be processed.", - "format": "int64" + "maxOverlapTokens": { + "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "type": "integer", + "format": "int32" } }, - "description": "Stats about the batch." + "description": "Configuration for a white space chunking algorithm [white space delimited].", + "type": "object" }, - "ChunkingConfig": { - "type": "object", + "InlinedResponses": { "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedResponse" + } } }, - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto" + "description": "The responses to the requests in the batch.", + "type": "object" }, - "DynamicRetrievalConfig": { + "GeneratedFile": { "properties": { - "mode": { + "error": { + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "$ref": "#/components/schemas/Status" + }, + "state": { "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." + "The default value. This value is used if the state is omitted.", + "Being generated.", + "Generated and is ready for download.", + "Failed to generate the GeneratedFile." ], - "type": "string", + "readOnly": true, "enum": [ - "MODE_UNSPECIFIED", - "MODE_DYNAMIC" + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" ], - "description": "The mode of the predictor to be used in dynamic retrieval." + "description": "Output only. The state of the GeneratedFile.", + "type": "string" }, - "dynamicThreshold": { - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "format": "float", - "type": "number" + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "type": "string" + }, + "mimeType": { + "description": "MIME type of the generatedFile.", + "type": "string" } }, - "type": "object", - "description": "Describes the options to customize dynamic retrieval." + "description": "A file generated on behalf of a user.", + "type": "object" }, - "BatchGenerateContentRequest": { + "BatchEmbedContentsRequest": { + "description": "Batch request to get embeddings from the model for a list of prompts.", + "type": "object", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/GenerateContentBatch" + "requests": { + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", + "type": "array", + "items": { + "$ref": "#/components/schemas/EmbedContentRequest" + } } - }, - "type": "object", - "description": "Request for a `BatchGenerateContent` operation." + } }, - "TunedModelSource": { + "CodeExecutionResult": { + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", "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`", + "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." + ], + "enum": [ + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" + ] + }, + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", "type": "string" }, - "baseModel": { - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", - "readOnly": true, + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", "type": "string" } - }, - "description": "Tuned model as a source for training a new model." + } }, - "SemanticRetrieverChunk": { - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", + "TunedModel": { + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", + "type": "object", "properties": { - "source": { - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", + "baseModel": { + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "type": "string" + }, + "updateTime": { + "format": "google-datetime", + "description": "Output only. The timestamp when this model was updated.", "readOnly": true, "type": "string" }, - "chunk": { - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "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" - } - }, - "type": "object" - }, - "GroundingChunkCustomMetadata": { - "properties": { - "stringValue": { - "description": "Optional. The string value of the metadata.", + }, + "description": { + "description": "Optional. A short description of this model.", "type": "string" }, - "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" + "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, + "enum": [ + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ], + "description": "Output only. The state of the tuned model.", + "type": "string" }, - "numericValue": { - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "topP": { "format": "float", + "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", "type": "number" }, - "key": { - "description": "The key of the metadata.", + "tuningTask": { + "description": "Required. The tuning task that creates the tuned model.", + "$ref": "#/components/schemas/TuningTask" + }, + "displayName": { + "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", "type": "string" - } - }, - "type": "object", - "description": "User provided metadata about the GroundingFact." - }, - "BatchEmbedContentsResponse": { - "description": "The response to a `BatchEmbedContentsRequest`.", - "type": "object", - "properties": { - "embeddings": { - "readOnly": true, - "type": "array", - "items": { - "$ref": "#/components/schemas/ContentEmbedding" - }, - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request." }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", + "temperature": { + "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", + "type": "number", + "format": "float" + }, + "createTime": { + "description": "Output only. The timestamp when this model was created.", "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata" - } - } - }, - "RetrievalConfig": { - "description": "Retrieval config.", - "properties": { - "languageCode": { - "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", - "type": "string" + "type": "string", + "format": "google-datetime" }, - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" - } - }, - "type": "object" - }, - "GoogleAiGenerativelanguageV1betaSegment": { - "description": "Segment of the content.", - "type": "object", - "properties": { - "partIndex": { - "type": "integer", - "description": "The index of a Part object within its parent Content object.", - "format": "int32" + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" }, - "endIndex": { - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", - "format": "int32", - "type": "integer" + "readerProjectNumbers": { + "description": "Optional. List of project numbers that have read access to the tuned model.", + "type": "array", + "items": { + "type": "string", + "format": "int64" + } }, - "startIndex": { + "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", - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", "format": "int32" - }, - "text": { - "description": "The text corresponding to the segment from the response.", - "type": "string" } } }