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 5facadae5..afd7f9c12 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -397,47 +397,47 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// /// - /// - /// Stats about the batch. - /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// Required. The user-defined name of this batch. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Required. The user-defined name of this batch. + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// /// /// Configures the input to the batch request. /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// + /// Stats about the batch. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, - global::Google.Gemini.EmbedContentBatchOutput? output = default, - string? priority = default, - string? model = default, string? displayName = default, + string? model = default, + string? priority = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + global::Google.Gemini.EmbedContentBatchOutput? output = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { - BatchStats = batchStats, - Output = output, - Priority = priority, - Model = model, DisplayName = displayName, + Model = model, + Priority = priority, InputConfig = inputConfig, + Output = output, + BatchStats = batchStats, }; 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 cdbd9e463..278e24584 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -397,47 +397,47 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// - /// - /// Stats about the batch. - /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// Required. The user-defined name of this batch. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Configures the input to the batch request. /// + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// + /// + /// Stats about the batch. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.BatchStats? batchStats = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, string? priority = default, - string? model = default, string? displayName = default, + string? model = default, global::Google.Gemini.InputConfig? inputConfig = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, + global::Google.Gemini.BatchStats? batchStats = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { - BatchStats = batchStats, - Output = output, Priority = priority, - Model = model, DisplayName = displayName, + Model = model, InputConfig = inputConfig, + Output = output, + BatchStats = batchStats, }; return await BatchesUpdateGenerateContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs index 982b0f87b..3c6b96ac6 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 @@ -386,24 +386,24 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. - /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// Input only. New TTL for this resource, input only. /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Metadata on the usage of the cached content. /// @@ -413,12 +413,12 @@ partial void ProcessCachedContentsCreateResponseContent( public async global::System.Threading.Tasks.Task CachedContentsCreateAsync( global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.Content? systemInstruction = default, - string? model = default, string? displayName = default, - global::System.Collections.Generic.IList? contents = default, string? expireTime = default, + string? model = default, + global::System.Collections.Generic.IList? contents = default, string? ttl = default, + global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) @@ -427,12 +427,12 @@ partial void ProcessCachedContentsCreateResponseContent( { Tools = tools, ToolConfig = toolConfig, - SystemInstruction = systemInstruction, - Model = model, DisplayName = displayName, - Contents = contents, ExpireTime = expireTime, + Model = model, + Contents = contents, Ttl = ttl, + SystemInstruction = systemInstruction, UsageMetadata = usageMetadata, }; 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 ddcd8a6d0..2c0342322 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 @@ -403,24 +403,24 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. - /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// Input only. New TTL for this resource, input only. /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Metadata on the usage of the cached content. /// @@ -432,12 +432,12 @@ partial void ProcessCachedContentsPatchResponseContent( string? updateMask = default, global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.Content? systemInstruction = default, - string? model = default, string? displayName = default, - global::System.Collections.Generic.IList? contents = default, string? expireTime = default, + string? model = default, + global::System.Collections.Generic.IList? contents = default, string? ttl = default, + global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) @@ -446,12 +446,12 @@ partial void ProcessCachedContentsPatchResponseContent( { Tools = tools, ToolConfig = toolConfig, - SystemInstruction = systemInstruction, - Model = model, DisplayName = displayName, - Contents = contents, ExpireTime = expireTime, + Model = model, + Contents = contents, Ttl = ttl, + SystemInstruction = systemInstruction, UsageMetadata = usageMetadata, }; 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 560c0dac9..c431453ef 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 @@ -390,28 +390,28 @@ partial void ProcessCorporaPermissionsCreateResponseContent( /// /// Optional. Immutable. The type of the grantee. /// - /// - /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { GranteeType = granteeType, - Role = role, EmailAddress = emailAddress, + Role = role, }; return await CorporaPermissionsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs index 4ba9c8ec3..00dfd02df 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 @@ -407,12 +407,12 @@ partial void ProcessCorporaPermissionsPatchResponseContent( /// /// Optional. Immutable. The type of the grantee. /// - /// - /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -421,16 +421,16 @@ partial void ProcessCorporaPermissionsPatchResponseContent( string corporaId, string? updateMask = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { GranteeType = granteeType, - Role = role, EmailAddress = emailAddress, + Role = role, }; return await CorporaPermissionsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs index e9aeea9f3..5bbb61e47 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. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - Contents = contents, - ServiceTier = serviceTier, Model = model, - CachedContent = cachedContent, - SafetySettings = safetySettings, + ServiceTier = serviceTier, GenerationConfig = generationConfig, + ToolConfig = toolConfig, Store = store, + Tools = tools, + CachedContent = cachedContent, + SystemInstruction = systemInstruction, + SafetySettings = safetySettings, + Contents = contents, }; 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 8c12d17ce..331af2bad 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`. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - Contents = contents, - ServiceTier = serviceTier, Model = model, - CachedContent = cachedContent, - SafetySettings = safetySettings, + ServiceTier = serviceTier, GenerationConfig = generationConfig, + ToolConfig = toolConfig, Store = store, + Tools = tools, + CachedContent = cachedContent, + SystemInstruction = systemInstruction, + SafetySettings = safetySettings, + Contents = contents, }; 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 b3f6a3cba..82800abb5 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`. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = 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 { - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - Contents = contents, - ServiceTier = serviceTier, Model = model, - CachedContent = cachedContent, - SafetySettings = safetySettings, + ServiceTier = serviceTier, GenerationConfig = generationConfig, + ToolConfig = toolConfig, Store = store, + Tools = tools, + CachedContent = cachedContent, + SystemInstruction = systemInstruction, + SafetySettings = safetySettings, + Contents = contents, }; 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 793995300..bfe4ff623 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs @@ -387,31 +387,31 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// 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 + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - string? fileName = default, - global::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 { - FileName = fileName, - CustomMetadata = customMetadata, ChunkingConfig = chunkingConfig, + CustomMetadata = customMetadata, + FileName = fileName, }; return await FileSearchStoresImportFileAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs index b01a0ce2f..3f49f3498 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs @@ -387,12 +387,12 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Optional. Display name of the created document. - /// /// /// Custom metadata to be associated with the data. /// + /// + /// Optional. Display name of the created document. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -404,8 +404,8 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// public async global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - string? displayName = default, global::System.Collections.Generic.IList? customMetadata = default, + string? displayName = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? mimeType = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, @@ -413,8 +413,8 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( { var __request = new global::Google.Gemini.UploadToFileSearchStoreRequest { - DisplayName = displayName, CustomMetadata = customMetadata, + DisplayName = displayName, ChunkingConfig = chunkingConfig, MimeType = mimeType, }; 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 b831ed90b..90f56f580 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs @@ -389,31 +389,31 @@ partial void ProcessModelsEmbedContentResponseContent( /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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}` /// /// /// Configurations for the EmbedContent request. /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, - global::Google.Gemini.Content? content = default, - global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, string? model = default, + global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, + global::Google.Gemini.Content? content = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentRequest { - Content = content, - EmbedContentConfig = embedContentConfig, Model = model, + EmbedContentConfig = embedContentConfig, + Content = content, }; return await ModelsEmbedContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs index 748568c5c..0e661ba06 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. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - Contents = contents, - ServiceTier = serviceTier, Model = model, - CachedContent = cachedContent, - SafetySettings = safetySettings, + ServiceTier = serviceTier, GenerationConfig = generationConfig, + ToolConfig = toolConfig, Store = store, + Tools = tools, + CachedContent = cachedContent, + SystemInstruction = systemInstruction, + SafetySettings = safetySettings, + Contents = contents, }; 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 20fd71882..3430bc631 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`. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - Contents = contents, - ServiceTier = serviceTier, Model = model, - CachedContent = cachedContent, - SafetySettings = safetySettings, + ServiceTier = serviceTier, GenerationConfig = generationConfig, + ToolConfig = toolConfig, Store = store, + Tools = tools, + CachedContent = cachedContent, + SystemInstruction = systemInstruction, + SafetySettings = safetySettings, + Contents = contents, }; 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 343d07c8a..815ae156a 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`. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = 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 { - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - Contents = contents, - ServiceTier = serviceTier, Model = model, - CachedContent = cachedContent, - SafetySettings = safetySettings, + ServiceTier = serviceTier, GenerationConfig = generationConfig, + ToolConfig = toolConfig, Store = store, + Tools = tools, + CachedContent = cachedContent, + SystemInstruction = systemInstruction, + SafetySettings = safetySettings, + Contents = contents, }; 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 fafd197e7..2957e42cd 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. A short description of this model. + /// + /// Tuned model as a source for training a new model. + /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Tuning tasks that create tuned models. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// + /// Optional. A short description of this model. + /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. - /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Tuned model as a source for training a new model. - /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - string? description = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + int? topK = default, float? topP = default, - string? displayName = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, + string? displayName = default, + string? description = default, float? temperature = default, - global::Google.Gemini.TuningTask? tuningTask = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - Description = description, + TunedModelSource = tunedModelSource, + TopK = topK, TopP = topP, - DisplayName = displayName, + TuningTask = tuningTask, BaseModel = baseModel, + DisplayName = displayName, + Description = description, Temperature = temperature, - TuningTask = tuningTask, ReaderProjectNumbers = readerProjectNumbers, - TunedModelSource = tunedModelSource, - 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 a0e20005f..6ccf9b94e 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. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - Contents = contents, - ServiceTier = serviceTier, Model = model, - CachedContent = cachedContent, - SafetySettings = safetySettings, + ServiceTier = serviceTier, GenerationConfig = generationConfig, + ToolConfig = toolConfig, Store = store, + Tools = tools, + CachedContent = cachedContent, + SystemInstruction = systemInstruction, + SafetySettings = safetySettings, + Contents = contents, }; 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 59c17b072..b931b7d04 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs @@ -397,62 +397,62 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// /// - /// - /// Optional. A short description of this model. + /// + /// Tuned model as a source for training a new model. + /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Tuning tasks that create tuned models. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// + /// Optional. A short description of this model. + /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. - /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Tuned model as a source for training a new model. - /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - string? description = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + int? topK = default, float? topP = default, - string? displayName = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, + string? displayName = default, + string? description = default, float? temperature = default, - global::Google.Gemini.TuningTask? tuningTask = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - Description = description, + TunedModelSource = tunedModelSource, + TopK = topK, TopP = topP, - DisplayName = displayName, + TuningTask = tuningTask, BaseModel = baseModel, + DisplayName = displayName, + Description = description, Temperature = temperature, - TuningTask = tuningTask, ReaderProjectNumbers = readerProjectNumbers, - TunedModelSource = tunedModelSource, - 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 203c5ae9e..83def6f1a 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 @@ -390,28 +390,28 @@ partial void ProcessTunedModelsPermissionsCreateResponseContent( /// /// Optional. Immutable. The type of the grantee. /// - /// - /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { GranteeType = granteeType, - Role = role, EmailAddress = emailAddress, + Role = role, }; return await TunedModelsPermissionsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs index 81df84a9a..81f9069f9 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 @@ -407,12 +407,12 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( /// /// Optional. Immutable. The type of the grantee. /// - /// - /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -421,16 +421,16 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( string permissionsId, string? updateMask = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { GranteeType = granteeType, - Role = role, EmailAddress = emailAddress, + Role = role, }; return await TunedModelsPermissionsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs index 1e24546f2..85a5b2cfd 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`. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - Contents = contents, - ServiceTier = serviceTier, Model = model, - CachedContent = cachedContent, - SafetySettings = safetySettings, + ServiceTier = serviceTier, GenerationConfig = generationConfig, + ToolConfig = toolConfig, Store = store, + Tools = tools, + CachedContent = cachedContent, + SystemInstruction = systemInstruction, + SafetySettings = safetySettings, + Contents = contents, }; 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 536f3a2f2..dd8f20bdb 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`. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = 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 { - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - Contents = contents, - ServiceTier = serviceTier, Model = model, - CachedContent = cachedContent, - SafetySettings = safetySettings, + ServiceTier = serviceTier, GenerationConfig = generationConfig, + ToolConfig = toolConfig, Store = store, + Tools = tools, + CachedContent = cachedContent, + SystemInstruction = systemInstruction, + SafetySettings = safetySettings, + Contents = contents, }; 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 d7ed802bb..66baa45a0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -25,36 +25,36 @@ public partial interface IGeminiClient /// /// /// - /// - /// Stats about the batch. - /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// Required. The user-defined name of this batch. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Required. The user-defined name of this batch. + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// /// /// Configures the input to the batch request. /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// + /// Stats about the batch. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, - global::Google.Gemini.EmbedContentBatchOutput? output = default, - string? priority = default, - string? model = default, string? displayName = default, + string? model = default, + string? priority = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + global::Google.Gemini.EmbedContentBatchOutput? output = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = 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 7e0f542d0..865e332f1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -25,36 +25,36 @@ public partial interface IGeminiClient /// /// /// - /// - /// Stats about the batch. - /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// Required. The user-defined name of this batch. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Configures the input to the batch request. /// + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// + /// + /// Stats about the batch. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.BatchStats? batchStats = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, string? priority = default, - string? model = default, string? displayName = default, + string? model = default, global::Google.Gemini.InputConfig? inputConfig = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, + global::Google.Gemini.BatchStats? batchStats = 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 014246ae8..d0fa60ac6 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 @@ -25,24 +25,24 @@ public partial interface IGeminiClient /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. - /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// Input only. New TTL for this resource, input only. /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Metadata on the usage of the cached content. /// @@ -52,12 +52,12 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task CachedContentsCreateAsync( global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.Content? systemInstruction = default, - string? model = default, string? displayName = default, - global::System.Collections.Generic.IList? contents = default, string? expireTime = default, + string? model = default, + global::System.Collections.Generic.IList? contents = default, string? ttl = default, + global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = 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 a39833c5e..d1fa859a0 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 @@ -31,24 +31,24 @@ public partial interface IGeminiClient /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. - /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// Input only. New TTL for this resource, input only. /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Metadata on the usage of the cached content. /// @@ -60,12 +60,12 @@ public partial interface IGeminiClient string? updateMask = default, global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.Content? systemInstruction = default, - string? model = default, string? displayName = default, - global::System.Collections.Generic.IList? contents = default, string? expireTime = default, + string? model = default, + global::System.Collections.Generic.IList? contents = default, string? ttl = default, + global::Google.Gemini.Content? systemInstruction = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = 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 cea39376a..92284c1b8 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 @@ -25,20 +25,20 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The type of the grantee. /// - /// - /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs index e70aad7d4..07ba825db 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 @@ -31,12 +31,12 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The type of the grantee. /// - /// - /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -45,8 +45,8 @@ public partial interface IGeminiClient string corporaId, string? updateMask = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs index 7660dbcef..11701c952 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. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs index 3438d2714..3a9b78527 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`. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs index 24051ae15..1300b86c9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs index 30e4cb8e7..e142b148a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs @@ -22,23 +22,23 @@ public partial interface IGeminiClient /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// 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 + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - string? fileName = default, - global::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 099c3bb8b..87d5e6fc2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs @@ -22,12 +22,12 @@ public partial interface IGeminiClient /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Optional. Display name of the created document. - /// /// /// Custom metadata to be associated with the data. /// + /// + /// Optional. Display name of the created document. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -39,8 +39,8 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - string? displayName = default, global::System.Collections.Generic.IList? customMetadata = default, + string? displayName = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? mimeType = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = 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 a329c35cc..ef3060090 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs @@ -24,23 +24,23 @@ public partial interface IGeminiClient /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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}` /// /// /// Configurations for the EmbedContent request. /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, - global::Google.Gemini.Content? content = default, - global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, string? model = default, + global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, + global::Google.Gemini.Content? content = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs index af86657fb..b3f12ff36 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. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs index b081cea7e..e41107a9d 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`. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs index a09417c4e..6e2a27959 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs index 0e2980f93..e3c094ec4 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. A short description of this model. + /// + /// Tuned model as a source for training a new model. + /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Tuning tasks that create tuned models. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// + /// Optional. A short description of this model. + /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. - /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Tuned model as a source for training a new model. - /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - string? description = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + int? topK = default, float? topP = default, - string? displayName = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, + string? displayName = default, + string? description = default, float? temperature = default, - global::Google.Gemini.TuningTask? tuningTask = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = 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 14ab93568..926779bf9 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. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs index 30d60009c..cae2dd9f0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs @@ -25,48 +25,48 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. A short description of this model. + /// + /// Tuned model as a source for training a new model. + /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Tuning tasks that create tuned models. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// + /// Optional. A short description of this model. + /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. - /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Tuned model as a source for training a new model. - /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - string? description = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + int? topK = default, float? topP = default, - string? displayName = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, + string? displayName = default, + string? description = default, float? temperature = default, - global::Google.Gemini.TuningTask? tuningTask = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = 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 d2b3bb242..10d0529a0 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 @@ -25,20 +25,20 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The type of the grantee. /// - /// - /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs index 9179736c3..8cd255655 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 @@ -31,12 +31,12 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The type of the grantee. /// - /// - /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -45,8 +45,8 @@ public partial interface IGeminiClient string permissionsId, string? updateMask = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs index 73ff645ad..81d1e1c56 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`. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index 7c9880be0..e42a00c63 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, string? model = default, - string? cachedContent = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? safetySettings = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs index 6144f5fd7..3c3462f49 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,14 +13,6 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), @@ -33,37 +25,21 @@ namespace Google.Gemini typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), @@ -73,365 +49,389 @@ namespace Google.Gemini typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), 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.ExecutableCode))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievedContext))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCodeLanguage), TypeInfoPropertyName = "ExecutableCodeLanguage2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfigThinkingLevel), TypeInfoPropertyName = "ThinkingConfigThinkingLevel2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkCustomMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkStringList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadata))] + [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.SafetyRating))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] [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 = 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] - [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.CountTokensResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContent))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Tool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::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.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.SafetySetting))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Operation))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseBlob))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResultCandidate))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListPermissionsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Permission))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.MultiSpeakerVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeakerVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatus))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatusModelStage), TypeInfoPropertyName = "ModelStatusModelStage2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Interval))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContextMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadataUrlRetrievalStatus), TypeInfoPropertyName = "UrlMetadataUrlRetrievalStatus2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Part))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningSnapshot))] + [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.ImportFileRequest))] + [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.TunedModel))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningTask))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AttributionSourceId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingPassageId))] + [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.StringList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Maps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PlaceAnswerSources))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseBlob))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResult))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchStats))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchStats))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Model))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExample))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingAttribution))] + [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.CreateFileResponse))] + [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.VoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCode))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Blob))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Document))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DocumentState), TypeInfoPropertyName = "DocumentState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleMaps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LatLng))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(double))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoFileMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StreamableHttpTransport))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] + 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] 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 e68a9c2c5..bb0e8646b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,31 +28,31 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.ExecutableCode? Type0 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type0 { get; set; } /// /// /// - public string? Type1 { get; set; } + public global::System.Collections.Generic.IList? Type1 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type2 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type2 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type3 { get; set; } + public global::Google.Gemini.RetrievedContext? Type3 { get; set; } /// /// /// - public int? Type4 { get; set; } + public string? Type4 { get; set; } /// /// /// - public bool? Type5 { get; set; } + public int? Type5 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type6 { get; set; } + public global::System.Collections.Generic.IList? Type6 { get; set; } /// /// /// @@ -60,1091 +60,1091 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type8 { get; set; } + public global::Google.Gemini.UsageMetadata? Type8 { get; set; } /// /// /// - public float? Type9 { get; set; } + public global::System.Collections.Generic.IList? Type9 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type10 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type10 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type11 { get; set; } + public global::Google.Gemini.SafetyRating? Type11 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type12 { get; set; } + public bool? Type12 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type13 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type13 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type14 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type14 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type15 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type15 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type16 { get; set; } + public float? Type16 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type17 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type17 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type18 { get; set; } + public global::Google.Gemini.UrlContext? Type18 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type19 { get; set; } + public global::Google.Gemini.CitationSource? Type19 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type20 { get; set; } + public global::Google.Gemini.Operation? Type20 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type21 { get; set; } + public global::Google.Gemini.Status? Type21 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type22 { get; set; } + public object? Type22 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type23 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type23 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type24 { get; set; } + public global::Google.Gemini.SearchTypes? Type24 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type25 { get; set; } + public global::Google.Gemini.ImageSearch? Type25 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type26 { get; set; } + public global::Google.Gemini.WebSearch? Type26 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type27 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type27 { get; set; } /// /// /// - public object? Type28 { get; set; } + public global::Google.Gemini.TunedModelSource? Type28 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type29 { get; set; } + public global::Google.Gemini.FunctionResponse? Type29 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type30 { get; set; } + public global::System.Collections.Generic.IList? Type30 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type31 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type31 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type32 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type32 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type33 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type33 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type34 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type34 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type35 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type35 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type36 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type36 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type37 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type37 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type38 { get; set; } + public global::Google.Gemini.Schema? Type38 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type39 { get; set; } + public global::Google.Gemini.SafetySetting? Type39 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type40 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type40 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type41 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type41 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type42 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type42 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type43 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type43 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type44 { get; set; } + public byte[]? Type44 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type45 { get; set; } + public global::Google.Gemini.Web? Type45 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type46 { get; set; } + public global::Google.Gemini.CitationMetadata? Type46 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type47 { get; set; } + public global::System.Collections.Generic.IList? Type47 { get; set; } /// /// /// - public byte[]? Type48 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type48 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type49 { get; set; } + public global::Google.Gemini.Hyperparameters? Type49 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type50 { get; set; } + public global::Google.Gemini.GenerationConfig? Type50 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type51 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type51 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type52 { get; set; } + public global::System.Collections.Generic.IList? Type52 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type53 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type53 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type54 { get; set; } + public global::Google.Gemini.ImageConfig? Type54 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type55 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type55 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type56 { get; set; } + public global::System.Collections.Generic.IList? Type56 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type57 { get; set; } + public global::Google.Gemini.SpeechConfig? Type57 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type58 { get; set; } + public global::Google.Gemini.CachedContent? Type58 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type59 { get; set; } + public global::System.Collections.Generic.IList? Type59 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type60 { get; set; } + public global::Google.Gemini.Tool? Type60 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type61 { get; set; } + public global::Google.Gemini.ToolConfig? Type61 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type62 { get; set; } + public global::System.Collections.Generic.IList? Type62 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type63 { get; set; } + public global::Google.Gemini.Content? Type63 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type64 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type64 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type65 { get; set; } + public global::System.Collections.Generic.IList? Type65 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type66 { get; set; } + public global::Google.Gemini.Permission? Type66 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type67 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type67 { get; set; } /// /// /// - public global::Google.Gemini.File? Type68 { get; set; } + public global::System.Collections.Generic.IList? Type68 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type69 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type69 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type70 { get; set; } + public global::Google.Gemini.ModelStatus? Type70 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type71 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type71 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type72 { get; set; } + public global::Google.Gemini.Interval? Type72 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type73 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type73 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type74 { get; set; } + public global::System.Collections.Generic.IList? Type74 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type75 { get; set; } + public global::Google.Gemini.UrlMetadata? Type75 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type76 { get; set; } + public global::System.Collections.Generic.IList? Type76 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type77 { get; set; } + public global::Google.Gemini.Part? Type77 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type78 { get; set; } + public global::Google.Gemini.FileSearch? Type78 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type79 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type79 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type80 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type80 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type81 { get; set; } + public global::System.Collections.Generic.IList? Type81 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type82 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type82 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type83 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type83 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type84 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type84 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type85 { get; set; } + public global::System.Collections.Generic.IList? Type85 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type86 { get; set; } + public global::Google.Gemini.CustomMetadata? Type86 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type87 { get; set; } + public global::Google.Gemini.TunedModel? Type87 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type88 { get; set; } + public global::Google.Gemini.TunedModelState? Type88 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type89 { get; set; } + public global::Google.Gemini.TuningTask? Type89 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type90 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type90 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type91 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type91 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type92 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type92 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type93 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type93 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type94 { get; set; } + public global::Google.Gemini.File? Type94 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type95 { get; set; } + public global::Google.Gemini.StringList? Type95 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type96 { get; set; } + public global::System.Collections.Generic.IList? Type96 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type97 { get; set; } + public global::Google.Gemini.Maps? Type97 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type98 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type98 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type99 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type99 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type100 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type100 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type101 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type101 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type102 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type102 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type103 { get; set; } + public global::Google.Gemini.GoogleSearch? Type103 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type104 { get; set; } + public global::Google.Gemini.Corpus? Type104 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type105 { get; set; } + public global::Google.Gemini.BatchStats? Type105 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type106 { get; set; } + public global::Google.Gemini.Model? Type106 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type107 { get; set; } + public global::Google.Gemini.TuningExample? Type107 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type108 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type108 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type109 { get; set; } + public global::Google.Gemini.InlinedRequests? Type109 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type110 { get; set; } + public global::System.Collections.Generic.IList? Type110 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type111 { get; set; } + public global::Google.Gemini.InlinedRequest? Type111 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type112 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type112 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type113 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type113 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type114 { get; set; } + public global::System.Collections.Generic.IList? Type114 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type115 { get; set; } + public global::Google.Gemini.VoiceConfig? Type115 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type116 { get; set; } + public global::Google.Gemini.ExecutableCode? Type116 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type117 { get; set; } + public global::Google.Gemini.FileData? Type117 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type118 { get; set; } + public global::Google.Gemini.ToolCall? Type118 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type119 { get; set; } + public global::Google.Gemini.VideoMetadata? Type119 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type120 { get; set; } + public global::Google.Gemini.ToolResponse? Type120 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type121 { get; set; } + public global::Google.Gemini.FunctionCall? Type121 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type122 { get; set; } + public global::Google.Gemini.Blob? Type122 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type123 { get; set; } + public global::Google.Gemini.Document? Type123 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type124 { get; set; } + public global::Google.Gemini.DocumentState? Type124 { get; set; } /// /// /// - public double? Type125 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type125 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type126 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type126 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type127 { get; set; } + public global::Google.Gemini.GoogleMaps? Type127 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type128 { get; set; } + public global::Google.Gemini.LatLng? Type128 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type129 { get; set; } + public double? Type129 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type130 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type130 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type131 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type131 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type132 { get; set; } + public global::System.Collections.Generic.Dictionary? Type132 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type133 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type133 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type134 { get; set; } + public global::Google.Gemini.Candidate? Type134 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type135 { get; set; } + public global::Google.Gemini.LogprobsResult? Type135 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type136 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type136 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type137 { get; set; } + public global::System.Collections.Generic.IList? Type137 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type138 { get; set; } + public global::System.Collections.Generic.IList? Type138 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type139 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type139 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type140 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type140 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type141 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type141 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type142 { get; set; } + public global::Google.Gemini.InputConfig? Type142 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type143 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type143 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type144 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type144 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type145 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type145 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type146 { get; set; } + public global::Google.Gemini.CodeExecution? Type146 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type147 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type147 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type148 { get; set; } + public global::System.Collections.Generic.IList? Type148 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type149 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type149 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type150 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type150 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type151 { get; set; } + public global::Google.Gemini.InlinedResponses? Type151 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type152 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type152 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type153 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type153 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type154 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type154 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type155 { get; set; } + public global::System.Collections.Generic.IList? Type155 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type156 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type156 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type157 { get; set; } + public global::System.Collections.Generic.IList? Type157 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type158 { get; set; } + public global::Google.Gemini.McpServer? Type158 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type159 { get; set; } + public global::Google.Gemini.ComputerUse? Type159 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type160 { get; set; } + public global::System.Collections.Generic.IList? Type160 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type161 { get; set; } + public global::Google.Gemini.PromptFeedback? Type161 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type162 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type162 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type163 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type163 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type164 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type164 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type165 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type165 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type166 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type166 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type167 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type167 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type168 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type168 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type169 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type169 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type170 { get; set; } + public global::Google.Gemini.GroundingChunk? Type170 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type171 { get; set; } + public global::Google.Gemini.Image? Type171 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type172 { get; set; } + public global::Google.Gemini.TopCandidates? Type172 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type173 { get; set; } + public global::System.Collections.Generic.IList? Type173 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type174 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type174 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type175 { get; set; } + public global::System.Collections.Generic.IList? Type175 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type176 { get; set; } + public global::System.Collections.Generic.IList? Type176 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type177 { get; set; } + public global::System.Collections.Generic.IList? Type177 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type178 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type178 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type179 { get; set; } + public global::Google.Gemini.FileSource? Type179 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type180 { get; set; } + public global::Google.Gemini.FileState? Type180 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type181 { get; set; } + public global::Google.Gemini.Dataset? Type181 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type182 { get; set; } + public global::Google.Gemini.TuningExamples? Type182 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type183 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type183 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type184 { get; set; } + public global::System.Collections.Generic.IList? Type184 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type185 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type185 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type186 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type186 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type187 { get; set; } + public global::System.Collections.Generic.IList? Type187 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type188 { get; set; } + public global::System.Collections.Generic.IList? Type188 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type189 { get; set; } + public global::System.Collections.Generic.IList? Type189 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type190 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type190 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type191 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type191 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type192 { get; set; } + public global::System.Collections.Generic.IList? Type192 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type193 { get; set; } + public global::Google.Gemini.FileSearchStore? Type193 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type194 { get; set; } + public global::System.Collections.Generic.Dictionary? Type194 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type195 { get; set; } + public global::System.Collections.Generic.IList? Type195 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type196 { get; set; } + public global::Google.Gemini.SchemaType? Type196 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type197 { get; set; } + public global::System.Collections.Generic.IList? Type197 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type198 { get; set; } + public global::Google.Gemini.InlinedResponse? Type198 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type199 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type199 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type200 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type200 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type201 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type201 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type202 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type202 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type203 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type203 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type204 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type204 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type205 { get; set; } + public global::System.Collections.Generic.IList? Type205 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type206 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type206 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type207 { get; set; } + public global::System.Collections.Generic.IList? Type207 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type208 { get; set; } + public global::Google.Gemini.GeneratedFile? Type208 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type209 { get; set; } + public global::System.Collections.Generic.IList? Type209 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type210 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type210 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type211 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type211 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type212 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type212 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type213 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type213 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type214 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type214 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type215 { get; set; } + public global::Google.Gemini.PermissionRole? Type215 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type216 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type216 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type217 { get; set; } + public global::System.Collections.Generic.IList? Type217 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type218 { get; set; } + public global::System.Collections.Generic.IList? Type218 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type219 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type219 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type220 { get; set; } + public global::System.Collections.Generic.IList? Type220 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type221 { get; set; } + public global::Google.Gemini.ListOperationsResponse? 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.SpeakerVoiceConfig? Type223 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type223 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type224 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type224 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type225 { get; set; } + public global::System.Collections.Generic.IList? Type225 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type226 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type226 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type227 { get; set; } + public global::System.Collections.Generic.IList? Type227 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type228 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type228 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type229 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type229 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type230 { get; set; } + public global::System.Collections.Generic.IList? Type230 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type231 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type231 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type232 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type232 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type233 { get; set; } + public global::Google.Gemini.Empty? Type233 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type234 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type234 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType0 { get; set; } + public global::System.Collections.Generic.List? ListType0 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType1 { get; set; } + public global::System.Collections.Generic.List? ListType1 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType2 { get; set; } + public global::System.Collections.Generic.List? ListType2 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType3 { get; set; } + public global::System.Collections.Generic.List? ListType3 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType7 { get; set; } + public global::System.Collections.Generic.List? ListType7 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType8 { get; set; } + public global::System.Collections.Generic.List? ListType8 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType9 { get; set; } + public global::System.Collections.Generic.List? ListType9 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType10 { get; set; } + public global::System.Collections.Generic.List? ListType10 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType11 { get; set; } + public global::System.Collections.Generic.List? ListType11 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType12 { get; set; } + public global::System.Collections.Generic.List? ListType12 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType13 { get; set; } + public global::System.Collections.Generic.List? ListType13 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType14 { get; set; } + public global::System.Collections.Generic.List? ListType14 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType15 { get; set; } + public global::System.Collections.Generic.List? ListType15 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType16 { get; set; } + public global::System.Collections.Generic.List? ListType16 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType17 { get; set; } + public global::System.Collections.Generic.List? ListType17 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType18 { get; set; } + public global::System.Collections.Generic.List? ListType18 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType19 { get; set; } + public global::System.Collections.Generic.List? ListType19 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType20 { get; set; } + public global::System.Collections.Generic.List? ListType20 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType21 { get; set; } + public global::System.Collections.Generic.List? ListType21 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType22 { get; set; } + public global::System.Collections.Generic.List? ListType22 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType23 { get; set; } + public global::System.Collections.Generic.List? ListType23 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType24 { get; set; } + public global::System.Collections.Generic.List? ListType24 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType25 { get; set; } + public global::System.Collections.Generic.List? ListType25 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType26 { get; set; } + public global::System.Collections.Generic.List? ListType26 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType27 { get; set; } + public global::System.Collections.Generic.List? ListType27 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType28 { get; set; } + public global::System.Collections.Generic.List? ListType28 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType29 { get; set; } + public global::System.Collections.Generic.List? ListType29 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType30 { get; set; } + public global::System.Collections.Generic.List? ListType30 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType31 { get; set; } + public global::System.Collections.Generic.List? ListType31 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType32 { get; set; } + public global::System.Collections.Generic.List? ListType32 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType33 { get; set; } + public global::System.Collections.Generic.List? ListType33 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType34 { get; set; } + public global::System.Collections.Generic.List? ListType34 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType35 { get; set; } + public global::System.Collections.Generic.List? ListType35 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType36 { get; set; } + public global::System.Collections.Generic.List? ListType36 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType37 { get; set; } + public global::System.Collections.Generic.List? ListType37 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType38 { get; set; } + public global::System.Collections.Generic.List? ListType38 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType39 { get; set; } + public global::System.Collections.Generic.List? ListType39 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType40 { get; set; } + public global::System.Collections.Generic.List? ListType40 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType41 { get; set; } + public global::System.Collections.Generic.List? ListType41 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType42 { get; set; } + public global::System.Collections.Generic.List? ListType42 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType43 { get; set; } + public global::System.Collections.Generic.List? ListType43 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType44 { get; set; } + public global::System.Collections.Generic.List? ListType44 { get; set; } } } \ No newline at end of file diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs index aa6dfe2ab..aafee3b8d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class BatchStats { /// - /// Output only. The number of requests that failed to be processed.
+ /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] + public string? PendingRequestCount { get; set; } /// - /// Output only. The number of requests that are still pending processing.
+ /// Output only. The number of requests in the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] - public string? PendingRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] + public string? RequestCount { get; set; } /// /// Output only. The number of requests that were successfully processed.
@@ -30,11 +30,11 @@ public sealed partial class BatchStats public string? SuccessfulRequestCount { get; set; } /// - /// Output only. The number of requests in the batch.
+ /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,35 +45,35 @@ public sealed partial class BatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// /// /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// + /// + /// Output only. The number of requests in the batch.
+ /// Included only in responses + /// /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - /// - /// Output only. The number of requests in the batch.
+ /// + /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( - string? failedRequestCount, string? pendingRequestCount, + string? requestCount, string? successfulRequestCount, - string? requestCount) + string? failedRequestCount) { - this.FailedRequestCount = failedRequestCount; this.PendingRequestCount = pendingRequestCount; - this.SuccessfulRequestCount = successfulRequestCount; this.RequestCount = requestCount; + this.SuccessfulRequestCount = successfulRequestCount; + this.FailedRequestCount = failedRequestCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs index 36f3f22d3..9ab4cb6b5 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 @@ -14,6 +14,13 @@ 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; } + /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// @@ -28,22 +35,22 @@ public sealed partial class CachedContent 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. + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { 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; } /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// Optional. Input only. Immutable. The content to cache. @@ -52,10 +59,11 @@ public sealed partial class CachedContent public global::System.Collections.Generic.IList? Contents { 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. + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] - public string? ExpireTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Input only. New TTL for this resource, input only. @@ -64,24 +72,16 @@ public sealed partial class CachedContent public string? Ttl { 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; } - - /// - /// Output only. When the cache entry was last updated in UTC time.
- /// 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("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses + /// Metadata on the usage of the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -95,6 +95,10 @@ public sealed partial class CachedContent /// /// 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 + /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// @@ -102,64 +106,60 @@ public sealed partial class CachedContent /// Output only. Creation time of the cache entry.
/// Included only in responses /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. - /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses /// /// /// Input only. New TTL for this resource, input only. /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Metadata on the usage of the cached content. /// - /// - /// Output only. When the cache entry was last updated in UTC time.
- /// Included only in responses - /// - /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( global::System.Collections.Generic.IList? tools, + string? updateTime, global::Google.Gemini.ToolConfig? toolConfig, string? createTime, - global::Google.Gemini.Content? systemInstruction, - string? model, string? displayName, - global::System.Collections.Generic.IList? contents, string? expireTime, + string? model, + global::System.Collections.Generic.IList? contents, + string? name, string? ttl, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, - string? updateTime, - string? name) + global::Google.Gemini.Content? systemInstruction, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata) { this.Tools = tools; + this.UpdateTime = updateTime; this.ToolConfig = toolConfig; this.CreateTime = createTime; - this.SystemInstruction = systemInstruction; - this.Model = model; this.DisplayName = displayName; - this.Contents = contents; this.ExpireTime = expireTime; + this.Model = model; + this.Contents = contents; + this.Name = name; this.Ttl = ttl; + this.SystemInstruction = systemInstruction; this.UsageMetadata = usageMetadata; - this.UpdateTime = updateTime; - this.Name = name; } /// 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 a7e2894f8..a5dddc075 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 @@ -8,19 +8,6 @@ namespace Google.Gemini /// public sealed partial class Candidate { - /// - /// Output only. Token count for this candidate.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] - public int? TokenCount { get; set; } - - /// - /// A collection of source attributions for a piece of content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] - public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } - /// /// Logprobs Result /// @@ -28,11 +15,10 @@ public sealed partial class Candidate public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses + /// Metadata related to url context retrieval tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] - public double? AvgLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] + public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
@@ -43,29 +29,43 @@ public sealed partial class Candidate public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } /// - /// Output only. Index of the candidate in the list of response candidates.
+ /// 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("index")] - public int? Index { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] + public global::System.Collections.Generic.IList? GroundingAttributions { 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. + /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } /// - /// Metadata returned to client when grounding is enabled. + /// A collection of source attributions for a piece of content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] - public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] + public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } /// - /// Metadata related to url context retrieval tool. + /// Output only. Token count for this candidate.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] - public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] + public int? TokenCount { get; set; } + + /// + /// Output only. Average log probability score of the candidate.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] + public double? AvgLogprobs { get; set; } + + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
@@ -75,17 +75,17 @@ public sealed partial class Candidate public string? FinishMessage { get; set; } /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
- /// Included only in responses + /// Metadata returned to client when grounding is enabled. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] - public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] + public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// Output only. Index of the candidate in the list of response candidates.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("index")] + public int? Index { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -96,77 +96,77 @@ public sealed partial class Candidate /// /// Initializes a new instance of the class. /// - /// - /// Output only. Token count for this candidate.
- /// Included only in responses - /// - /// - /// A collection of source attributions for a piece of content. - /// /// /// Logprobs Result /// - /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses + /// + /// Metadata related to url context retrieval tool. /// /// /// 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.
+ /// + /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// 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. + /// + /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// - /// - /// Metadata returned to client when grounding is enabled. + /// + /// A collection of source attributions for a piece of content. /// - /// - /// Metadata related to url context retrieval tool. + /// + /// Output only. Token count for this candidate.
+ /// Included only in responses + /// + /// + /// Output only. Average log probability score of the candidate.
+ /// Included only in responses + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
/// Included only in responses /// - /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
- /// Included only in responses + /// + /// Metadata returned to client when grounding is enabled. /// - /// - /// 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 /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( - int? tokenCount, - global::Google.Gemini.CitationMetadata? citationMetadata, global::Google.Gemini.LogprobsResult? logprobsResult, - double? avgLogprobs, + global::Google.Gemini.UrlContextMetadata? urlContextMetadata, global::Google.Gemini.CandidateFinishReason? finishReason, - int? index, + global::System.Collections.Generic.IList? groundingAttributions, + global::System.Collections.Generic.IList? safetyRatings, + global::Google.Gemini.CitationMetadata? citationMetadata, + int? tokenCount, + double? avgLogprobs, global::Google.Gemini.Content? content, - global::Google.Gemini.GroundingMetadata? groundingMetadata, - global::Google.Gemini.UrlContextMetadata? urlContextMetadata, string? finishMessage, - global::System.Collections.Generic.IList? groundingAttributions, - global::System.Collections.Generic.IList? safetyRatings) + global::Google.Gemini.GroundingMetadata? groundingMetadata, + int? index) { - this.TokenCount = tokenCount; - this.CitationMetadata = citationMetadata; this.LogprobsResult = logprobsResult; - this.AvgLogprobs = avgLogprobs; - this.FinishReason = finishReason; - this.Index = index; - this.Content = content; - this.GroundingMetadata = groundingMetadata; this.UrlContextMetadata = urlContextMetadata; - this.FinishMessage = finishMessage; + this.FinishReason = finishReason; this.GroundingAttributions = groundingAttributions; this.SafetyRatings = safetyRatings; + this.CitationMetadata = citationMetadata; + this.TokenCount = tokenCount; + this.AvgLogprobs = avgLogprobs; + this.Content = content; + this.FinishMessage = finishMessage; + this.GroundingMetadata = groundingMetadata; + this.Index = index; } /// 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 018364af1..d7f0bac25 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs @@ -9,16 +9,16 @@ 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. + /// Optional. URI that is attributed as a source for a portion of the text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] - public int? StartIndex { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Optional. End of the attributed segment, exclusive. + /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] - public int? EndIndex { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] + public int? StartIndex { get; set; } /// /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. @@ -27,10 +27,10 @@ public sealed partial class CitationSource public string? License { get; set; } /// - /// Optional. URI that is attributed as a source for a portion of the text. + /// Optional. End of the attributed segment, exclusive. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class CitationSource /// /// Initializes a new instance of the class. /// + /// + /// Optional. URI that is attributed as a source for a portion of the text. + /// /// /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. /// - /// - /// Optional. End of the attributed segment, exclusive. - /// /// /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. /// - /// - /// Optional. URI that is attributed as a source for a portion of the text. + /// + /// Optional. End of the attributed segment, exclusive. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( + string? uri, int? startIndex, - int? endIndex, string? license, - string? uri) + int? endIndex) { + this.Uri = uri; this.StartIndex = startIndex; - this.EndIndex = endIndex; this.License = license; - this.Uri = uri; + this.EndIndex = endIndex; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs index ee3750682..391e4a13c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ComputerUse { + /// + /// Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("excludedPredefinedFunctions")] + public global::System.Collections.Generic.IList? ExcludedPredefinedFunctions { get; set; } + /// /// Required. The environment being operated. /// @@ -15,12 +21,6 @@ public sealed partial class ComputerUse [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter))] public global::Google.Gemini.ComputerUseEnvironment? Environment { get; set; } - /// - /// Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("excludedPredefinedFunctions")] - public global::System.Collections.Generic.IList? ExcludedPredefinedFunctions { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class ComputerUse /// /// Initializes a new instance of the class. /// - /// - /// Required. The environment being operated. - /// /// /// Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. /// + /// + /// Required. The environment being operated. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ComputerUse( - global::Google.Gemini.ComputerUseEnvironment? environment, - global::System.Collections.Generic.IList? excludedPredefinedFunctions) + global::System.Collections.Generic.IList? excludedPredefinedFunctions, + global::Google.Gemini.ComputerUseEnvironment? environment) { - this.Environment = environment; this.ExcludedPredefinedFunctions = excludedPredefinedFunctions; + this.Environment = environment; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs index b15c2f052..ded964d79 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Corpus { - /// - /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - /// /// Output only. The Timestamp of when the `Corpus` was created.
/// Included only in responses @@ -28,6 +22,12 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses @@ -44,9 +44,6 @@ public sealed partial class Corpus /// /// Initializes a new instance of the class. /// - /// - /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// /// /// Output only. The Timestamp of when the `Corpus` was created.
/// Included only in responses @@ -55,6 +52,9 @@ public sealed partial class Corpus /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
/// Included only in responses /// + /// + /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses @@ -63,14 +63,14 @@ public sealed partial class Corpus [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( - string? displayName, string? createTime, string? name, + string? displayName, string? updateTime) { - this.DisplayName = displayName; this.CreateTime = createTime; this.Name = name; + this.DisplayName = displayName; 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 8dd493497..387bd46b8 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 @@ -14,6 +14,12 @@ public sealed partial class CountTokensResponse [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] public int? TotalTokens { get; set; } + /// + /// Number of tokens in the cached part of the prompt (the cached content). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } + /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses @@ -28,12 +34,6 @@ public sealed partial class CountTokensResponse [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } - /// - /// Number of tokens in the cached part of the prompt (the cached content). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -46,6 +46,9 @@ public sealed partial class CountTokensResponse /// /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. /// + /// + /// Number of tokens in the cached part of the prompt (the cached content). + /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses @@ -54,22 +57,19 @@ public sealed partial class CountTokensResponse /// Output only. List of modalities that were processed in the cached content.
/// Included only in responses /// - /// - /// Number of tokens in the cached part of the prompt (the cached content). - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( int? totalTokens, + int? cachedContentTokenCount, global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? cacheTokensDetails, - int? cachedContentTokenCount) + global::System.Collections.Generic.IList? cacheTokensDetails) { this.TotalTokens = totalTokens; + this.CachedContentTokenCount = cachedContentTokenCount; this.PromptTokensDetails = promptTokensDetails; this.CacheTokensDetails = cacheTokensDetails; - this.CachedContentTokenCount = cachedContentTokenCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs index cd83f4651..ce1b0172b 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class CustomLongRunningOperation { /// - /// 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). /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { 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`. @@ -20,12 +20,6 @@ public sealed partial class CustomLongRunningOperation [global::System.Text.Json.Serialization.JsonPropertyName("response")] public object? 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). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } - /// /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// @@ -38,6 +32,12 @@ public sealed partial class CustomLongRunningOperation [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class CustomLongRunningOperation /// /// Initializes a new instance of the class. /// - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// /// /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomLongRunningOperation( - bool? done, - object? response, global::Google.Gemini.Status? error, + object? response, string? name, - object? metadata) + object? metadata, + bool? done) { - this.Done = done; - this.Response = response; this.Error = error; + this.Response = response; this.Name = name; this.Metadata = metadata; + this.Done = done; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs index 69be9a709..9b5764482 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class CustomMetadata { - /// - /// User provided string values assigned to a single metadata key. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.StringList? StringListValue { get; set; } - - /// - /// The numeric value of the metadata to store. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] - public float? NumericValue { get; set; } - /// /// Required. The key of the metadata to store. /// @@ -32,6 +20,18 @@ public sealed partial class CustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] public string? StringValue { get; set; } + /// + /// User provided string values assigned to a single metadata key. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] + public global::Google.Gemini.StringList? StringListValue { get; set; } + + /// + /// The numeric value of the metadata to store. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] + public float? NumericValue { get; set; } + /// /// 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. /// - /// - /// User provided string values assigned to a single metadata key. - /// - /// - /// The numeric value of the metadata to store. - /// /// /// Required. The key of the metadata to store. /// /// /// The string value of the metadata to store. /// + /// + /// User provided string values assigned to a single metadata key. + /// + /// + /// The numeric value of the metadata to store. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( - global::Google.Gemini.StringList? stringListValue, - float? numericValue, string? key, - string? stringValue) + string? stringValue, + global::Google.Gemini.StringList? stringListValue, + float? numericValue) { - this.StringListValue = stringListValue; - this.NumericValue = numericValue; this.Key = key; this.StringValue = stringValue; + this.StringListValue = stringListValue; + this.NumericValue = numericValue; } /// 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 6774ace50..fc06e9e95 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 @@ -9,23 +9,24 @@ namespace Google.Gemini public sealed partial class Document { /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// Output only. The Timestamp of when the `Document` was created.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Output only. The size of raw bytes ingested into the Document.
+ /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Output only. Current state of the `Document`.
@@ -36,11 +37,11 @@ public sealed partial class Document public global::Google.Gemini.DocumentState? State { get; set; } /// - /// Output only. The Timestamp of when the `Document` was last updated.
+ /// Output only. The size of raw bytes ingested into the Document.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// /// Output only. The mime type of the Document.
@@ -50,17 +51,16 @@ public sealed partial class Document public string? MimeType { get; set; } /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. The Timestamp of when the `Document` was created.
- /// Included only in responses + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,56 +71,56 @@ public sealed partial class Document /// /// Initializes a new instance of the class. /// + /// + /// Output only. The Timestamp of when the `Document` was created.
+ /// Included only in responses + /// /// /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` /// - /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" - /// - /// - /// Output only. The size of raw bytes ingested into the Document.
+ /// + /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// /// /// Output only. Current state of the `Document`.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `Document` was last updated.
+ /// + /// Output only. The size of raw bytes ingested into the Document.
/// Included only in responses /// /// /// Output only. The mime type of the Document.
/// Included only in responses /// + /// + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// /// /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. /// - /// - /// Output only. The Timestamp of when the `Document` was created.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( + string? createTime, string? name, - string? displayName, - string? sizeBytes, - global::Google.Gemini.DocumentState? state, string? updateTime, + global::Google.Gemini.DocumentState? state, + string? sizeBytes, string? mimeType, - global::System.Collections.Generic.IList? customMetadata, - string? createTime) + string? displayName, + global::System.Collections.Generic.IList? customMetadata) { + this.CreateTime = createTime; this.Name = name; - this.DisplayName = displayName; - this.SizeBytes = sizeBytes; - this.State = state; this.UpdateTime = updateTime; + this.State = state; + this.SizeBytes = sizeBytes; this.MimeType = mimeType; + this.DisplayName = displayName; this.CustomMetadata = customMetadata; - this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs index a57fba7a2..26462678a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class DynamicRetrievalConfig { + /// + /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("dynamicThreshold")] + public float? DynamicThreshold { get; set; } + /// /// The mode of the predictor to be used in dynamic retrieval. /// @@ -15,12 +21,6 @@ public sealed partial class DynamicRetrievalConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter))] public global::Google.Gemini.DynamicRetrievalConfigMode? Mode { get; set; } - /// - /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("dynamicThreshold")] - public float? DynamicThreshold { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class DynamicRetrievalConfig /// /// Initializes a new instance of the class. /// - /// - /// The mode of the predictor to be used in dynamic retrieval. - /// /// /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. /// + /// + /// The mode of the predictor to be used in dynamic retrieval. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public DynamicRetrievalConfig( - global::Google.Gemini.DynamicRetrievalConfigMode? mode, - float? dynamicThreshold) + float? dynamicThreshold, + global::Google.Gemini.DynamicRetrievalConfigMode? mode) { - this.Mode = mode; this.DynamicThreshold = dynamicThreshold; + this.Mode = mode; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs index 1bed97468..13eaa28e7 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 @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class EmbedContentBatch { /// - /// Stats about the batch. + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.EmbedContentBatchStats? BatchStats { 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. + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// Output only. The time at which the batch was last updated.
@@ -33,13 +33,6 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("priority")] public string? Priority { get; set; } - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Output only. The time at which the batch was created.
/// Included only in responses @@ -48,37 +41,44 @@ public sealed partial class EmbedContentBatch public string? CreateTime { get; set; } /// - /// Output only. The time at which the batch processing completed.
+ /// Output only. The state of the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { 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; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputEmbedContentConfig? InputConfig { 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; } /// - /// Required. The user-defined name of this batch. + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } /// - /// Configures the input to the batch request. + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } + + /// + /// Stats about the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,11 +89,11 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Stats about the batch. + /// + /// Required. The user-defined name of this batch. /// - /// - /// 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}`. /// /// /// Output only. The time at which the batch was last updated.
@@ -102,58 +102,58 @@ public sealed partial class EmbedContentBatch /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses - /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// Output only. The state of the batch.
/// Included only in responses /// - /// - /// Required. The user-defined name of this batch. - /// /// /// Configures the input to the batch request. /// + /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses + /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses + /// + /// + /// Stats about the batch. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( - global::Google.Gemini.EmbedContentBatchStats? batchStats, - global::Google.Gemini.EmbedContentBatchOutput? output, + string? displayName, + string? model, string? updateTime, string? priority, - string? name, string? createTime, - string? endTime, - string? model, global::Google.Gemini.EmbedContentBatchState? state, - string? displayName, - global::Google.Gemini.InputEmbedContentConfig? inputConfig) + global::Google.Gemini.InputEmbedContentConfig? inputConfig, + string? name, + global::Google.Gemini.EmbedContentBatchOutput? output, + string? endTime, + global::Google.Gemini.EmbedContentBatchStats? batchStats) { - this.BatchStats = batchStats; - this.Output = output; + this.DisplayName = displayName; + this.Model = model; this.UpdateTime = updateTime; this.Priority = priority; - this.Name = name; this.CreateTime = createTime; - this.EndTime = endTime; - this.Model = model; this.State = state; - this.DisplayName = displayName; this.InputConfig = inputConfig; + this.Name = name; + this.Output = output; + this.EndTime = endTime; + this.BatchStats = batchStats; } /// 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 46b2d1b2e..6fe044e21 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class EmbedContentBatchStats { /// - /// Output only. The number of requests that were successfully processed.
+ /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } /// /// Output only. The number of requests in the batch.
@@ -23,11 +23,11 @@ public sealed partial class EmbedContentBatchStats public string? RequestCount { get; set; } /// - /// Output only. The number of requests that failed to be processed.
+ /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] + public string? SuccessfulRequestCount { get; set; } /// /// Output only. The number of requests that are still pending processing.
@@ -45,16 +45,16 @@ public sealed partial class EmbedContentBatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that were successfully processed.
+ /// + /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// /// /// Output only. The number of requests in the batch.
/// Included only in responses /// - /// - /// Output only. The number of requests that failed to be processed.
+ /// + /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// /// @@ -65,14 +65,14 @@ public sealed partial class EmbedContentBatchStats [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchStats( - string? successfulRequestCount, - string? requestCount, string? failedRequestCount, + string? requestCount, + string? successfulRequestCount, string? pendingRequestCount) { - this.SuccessfulRequestCount = successfulRequestCount; - this.RequestCount = requestCount; this.FailedRequestCount = failedRequestCount; + this.RequestCount = requestCount; + this.SuccessfulRequestCount = successfulRequestCount; this.PendingRequestCount = pendingRequestCount; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs index 53866289b..52a788362 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class EmbedContentConfig { + /// + /// Optional. Whether to enable OCR for document content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] + public bool? DocumentOcr { get; set; } + /// /// Optional. The task type of the embedding. /// @@ -21,24 +27,18 @@ public sealed partial class EmbedContentConfig [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] public int? OutputDimensionality { get; set; } - /// - /// Optional. The title for the text. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - - /// - /// Optional. Whether to enable OCR for document content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] - public bool? DocumentOcr { get; set; } - /// /// Optional. Whether to extract audio from video content. /// [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] public bool? AudioTrackExtraction { get; set; } + /// + /// Optional. The title for the text. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + /// /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// @@ -54,21 +54,21 @@ public sealed partial class EmbedContentConfig /// /// Initializes a new instance of the class. /// + /// + /// Optional. Whether to enable OCR for document content. + /// /// /// Optional. The task type of the embedding. /// /// /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// - /// - /// Optional. The title for the text. - /// - /// - /// Optional. Whether to enable OCR for document content. - /// /// /// Optional. Whether to extract audio from video content. /// + /// + /// Optional. The title for the text. + /// /// /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// @@ -76,18 +76,18 @@ public sealed partial class EmbedContentConfig [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentConfig( + bool? documentOcr, global::Google.Gemini.EmbedContentConfigTaskType? taskType, int? outputDimensionality, - string? title, - bool? documentOcr, bool? audioTrackExtraction, + string? title, bool? autoTruncate) { + this.DocumentOcr = documentOcr; this.TaskType = taskType; this.OutputDimensionality = outputDimensionality; - this.Title = title; - this.DocumentOcr = documentOcr; this.AudioTrackExtraction = audioTrackExtraction; + this.Title = title; this.AutoTruncate = autoTruncate; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs index 44f17c8ad..d2f3aa00d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs @@ -11,10 +11,17 @@ namespace Google.Gemini public sealed partial class EmbedContentRequest { /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } + + /// + /// Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + [global::System.Obsolete("This property marked as deprecated.")] + public string? Title { get; set; } /// /// Configurations for the EmbedContent request. @@ -23,11 +30,12 @@ public sealed partial class EmbedContentRequest public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { get; set; } /// - /// Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. + /// Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] + [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter))] [global::System.Obsolete("This property marked as deprecated.")] - public string? Title { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } /// /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). @@ -37,18 +45,10 @@ public sealed partial class EmbedContentRequest 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}` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } - - /// - /// Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter))] - [global::System.Obsolete("This property marked as deprecated.")] - public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,26 +59,26 @@ public sealed partial class EmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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}` /// /// /// Configurations for the EmbedContent request. /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentRequest( - global::Google.Gemini.Content? content, + string? model, global::Google.Gemini.EmbedContentConfig? embedContentConfig, - string? model) + global::Google.Gemini.Content? content) { - this.Content = content; - this.EmbedContentConfig = embedContentConfig; this.Model = model; + this.EmbedContentConfig = embedContentConfig; + this.Content = content; } /// 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 ceb8b83e0..88a9d644c 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 @@ -9,18 +9,24 @@ namespace Google.Gemini public sealed partial class File { /// - /// Output only. MIME type 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 /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// - /// Output only. The timestamp of when the `File` was created.
+ /// Output only. The uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } + + /// + /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). @@ -29,19 +35,24 @@ public sealed partial class File public global::Google.Gemini.Status? Error { get; set; } /// - /// Output only. The uri 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` /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Output only. Processing state of the File.
+ /// Output only. MIME type 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("mimeType")] + public string? MimeType { 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; } /// /// Output only. The timestamp of when the `File` was last updated.
@@ -51,36 +62,17 @@ public sealed partial class File public string? UpdateTime { get; set; } /// - /// Metadata for a video `File`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } - - /// - /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { get; set; } - - /// - /// 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("createTime")] + public string? CreateTime { 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` + /// Metadata for a video `File`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } /// /// Output only. The download uri of the `File`.
@@ -96,6 +88,14 @@ public sealed partial class File [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] public byte[]? Sha256Hash { get; set; } + /// + /// Output only. Processing state 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; } + /// /// Output only. Size of the file in bytes.
/// Included only in responses @@ -112,44 +112,40 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// - /// - /// Output only. MIME type 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 /// - /// - /// Output only. The timestamp of when the `File` was created.
+ /// + /// Output only. The uri of the `File`.
/// Included only in responses /// + /// + /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" + /// /// /// 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`.
- /// 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` /// - /// - /// Output only. Processing state of the File.
+ /// + /// Output only. MIME type of the file.
/// Included only in responses /// + /// + /// Source of the File. + /// /// /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// - /// - /// Metadata for a video `File`. - /// - /// - /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" - /// - /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// + /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - /// - /// Source of the File. - /// - /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// + /// Metadata for a video `File`. /// /// /// Output only. The download uri of the `File`.
@@ -159,6 +155,10 @@ public sealed partial class File /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// + /// + /// Output only. Processing state of the File.
+ /// Included only in responses + /// /// /// Output only. Size of the file in bytes.
/// Included only in responses @@ -167,34 +167,34 @@ public sealed partial class File [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - string? mimeType, - string? createTime, - global::Google.Gemini.Status? error, + string? expirationTime, string? uri, - global::Google.Gemini.FileState? state, - string? updateTime, - global::Google.Gemini.VideoFileMetadata? videoMetadata, string? displayName, - string? expirationTime, - global::Google.Gemini.FileSource? source, + global::Google.Gemini.Status? error, string? name, + string? mimeType, + global::Google.Gemini.FileSource? source, + string? updateTime, + string? createTime, + global::Google.Gemini.VideoFileMetadata? videoMetadata, string? downloadUri, byte[]? sha256Hash, + global::Google.Gemini.FileState? state, string? sizeBytes) { - this.MimeType = mimeType; - this.CreateTime = createTime; - this.Error = error; + this.ExpirationTime = expirationTime; this.Uri = uri; - this.State = state; - this.UpdateTime = updateTime; - this.VideoMetadata = videoMetadata; this.DisplayName = displayName; - this.ExpirationTime = expirationTime; - this.Source = source; + this.Error = error; this.Name = name; + this.MimeType = mimeType; + this.Source = source; + this.UpdateTime = updateTime; + this.CreateTime = createTime; + this.VideoMetadata = videoMetadata; this.DownloadUri = downloadUri; this.Sha256Hash = sha256Hash; + this.State = state; this.SizeBytes = sizeBytes; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs index c1f5a4046..941bbd059 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FileSearch { - /// - /// Optional. The number of semantic retrieval chunks to retrieve. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } - /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStoreNames")] public global::System.Collections.Generic.IList? FileSearchStoreNames { get; set; } + /// + /// Optional. The number of semantic retrieval chunks to retrieve. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } + /// /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// @@ -35,12 +35,12 @@ public sealed partial class FileSearch /// /// Initializes a new instance of the class. /// - /// - /// Optional. The number of semantic retrieval chunks to retrieve. - /// /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// + /// + /// Optional. The number of semantic retrieval chunks to retrieve. + /// /// /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// @@ -48,12 +48,12 @@ public sealed partial class FileSearch [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( - int? topK, global::System.Collections.Generic.IList? fileSearchStoreNames, + int? topK, string? metadataFilter) { - this.TopK = topK; this.FileSearchStoreNames = fileSearchStoreNames; + this.TopK = topK; this.MetadataFilter = metadataFilter; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs index 7afcbdc17..5a2f47ebf 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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class FileSearchStore { - /// - /// 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; } - /// /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses @@ -23,24 +16,31 @@ public sealed partial class FileSearchStore public string? UpdateTime { get; set; } /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] - public string? ActiveDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { 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`.
+ /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] + public string? PendingDocumentsCount { get; set; } /// /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
@@ -50,18 +50,18 @@ public sealed partial class FileSearchStore public string? FailedDocumentsCount { get; set; } /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// 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("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] - public string? PendingDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] + public string? ActiveDocumentsCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -72,58 +72,58 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
- /// Included only in responses - /// /// /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// + /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// 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`.
+ /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + /// + /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// /// /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// + /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? createTime, string? updateTime, + string? name, + string? createTime, string? displayName, - string? activeDocumentsCount, - string? sizeBytes, + string? pendingDocumentsCount, string? failedDocumentsCount, - string? name, - string? pendingDocumentsCount) + string? sizeBytes, + string? activeDocumentsCount) { - this.CreateTime = createTime; this.UpdateTime = updateTime; - this.DisplayName = displayName; - this.ActiveDocumentsCount = activeDocumentsCount; - this.SizeBytes = sizeBytes; - this.FailedDocumentsCount = failedDocumentsCount; this.Name = name; + this.CreateTime = createTime; + this.DisplayName = displayName; this.PendingDocumentsCount = pendingDocumentsCount; + this.FailedDocumentsCount = failedDocumentsCount; + this.SizeBytes = sizeBytes; + this.ActiveDocumentsCount = activeDocumentsCount; } /// 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 fb31f04a0..310f34cc6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class FunctionCall { + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Optional. The function parameters and values in JSON object format. /// @@ -20,12 +26,6 @@ public sealed partial class FunctionCall [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FunctionCall /// /// Initializes a new instance of the class. /// + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// /// /// Optional. The function parameters and values in JSON object format. /// /// /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. /// - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( + string? name, object? args, - string? id, - string? name) + string? id) { + this.Name = name; this.Args = args; this.Id = id; - this.Name = name; } /// 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 29ac05674..b061bc0c6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class FunctionDeclaration { /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.Schema? Response { get; set; } - - /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// /// Required. A brief description of the function. @@ -27,10 +21,10 @@ public sealed partial class FunctionDeclaration public string? Description { get; set; } /// - /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. + /// 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("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] + public object? ParametersJsonSchema { get; set; } /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. @@ -42,14 +36,20 @@ public sealed partial class FunctionDeclaration /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] - public global::Google.Gemini.Schema? Parameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.Schema? Response { get; set; } /// - /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] - public object? ParametersJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] + public global::Google.Gemini.Schema? Parameters { 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. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// + /// Optional. 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`. /// /// /// Required. A brief description of the function. /// - /// - /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. + /// + /// 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`. /// /// /// 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`. + /// + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( - global::Google.Gemini.Schema? response, - string? name, - string? description, object? responseJsonSchema, + string? description, + object? parametersJsonSchema, global::Google.Gemini.FunctionDeclarationBehavior? behavior, - global::Google.Gemini.Schema? parameters, - object? parametersJsonSchema) + global::Google.Gemini.Schema? response, + string? name, + global::Google.Gemini.Schema? parameters) { - this.Response = response; - this.Name = name; - this.Description = description; this.ResponseJsonSchema = responseJsonSchema; + this.Description = description; + this.ParametersJsonSchema = parametersJsonSchema; this.Behavior = behavior; + this.Response = response; + this.Name = name; 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 241af1c90..19bcffc80 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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class FunctionResponse { - /// - /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("scheduling")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] - public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } - /// /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// @@ -22,10 +15,10 @@ public sealed partial class FunctionResponse public global::System.Collections.Generic.IList? Parts { get; set; } /// - /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. + /// Optional. 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("willContinue")] - public bool? WillContinue { get; set; } + [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. @@ -34,10 +27,11 @@ public sealed partial class FunctionResponse public object? Response { get; set; } /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. + /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("scheduling")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] + public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } /// /// 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. @@ -45,6 +39,12 @@ public sealed partial class FunctionResponse [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. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. - /// /// /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - /// - /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. + /// + /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// /// /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. /// - /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. + /// + /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// /// /// Required. The 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( - global::Google.Gemini.FunctionResponseScheduling? scheduling, global::System.Collections.Generic.IList? parts, - bool? willContinue, - object? response, string? id, - string? name) + object? response, + global::Google.Gemini.FunctionResponseScheduling? scheduling, + string? name, + bool? willContinue) { - this.Scheduling = scheduling; this.Parts = parts; - this.WillContinue = willContinue; - this.Response = response; this.Id = id; + this.Response = response; + this.Scheduling = scheduling; this.Name = name; + this.WillContinue = willContinue; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs index 2c098c5ca..9fc94d8f8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class GenerateContentBatch { - /// - /// Stats about the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.BatchStats? BatchStats { get; set; } - - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } - /// /// Output only. The time at which the batch was last updated.
/// Included only in responses @@ -33,6 +21,31 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("priority")] public string? Priority { get; set; } + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } + + /// + /// Required. The user-defined name of this batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } + + /// + /// Configures the input to the batch request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputConfig? InputConfig { get; set; } + /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses @@ -41,11 +54,10 @@ public sealed partial class GenerateContentBatch public string? Name { get; set; } /// - /// Output only. The time at which the batch was created.
- /// Included only in responses + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [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.
@@ -55,10 +67,10 @@ public sealed partial class GenerateContentBatch public string? EndTime { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.BatchStats? BatchStats { get; set; } /// /// Output only. The state of the batch.
@@ -68,18 +80,6 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] public global::Google.Gemini.GenerateContentBatchState? State { get; set; } - /// - /// Required. The user-defined name of this batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// Configures the input to the batch request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputConfig? InputConfig { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -89,12 +89,6 @@ public sealed partial class GenerateContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Stats about the batch. - /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses @@ -102,58 +96,64 @@ public sealed partial class GenerateContentBatch /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses + /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Configures the input to the batch request. + /// /// /// 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 + /// + /// 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 /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Stats about the batch. /// /// /// Output only. The state of the batch.
/// Included only in responses /// - /// - /// Required. The user-defined name of this batch. - /// - /// - /// Configures the input to the batch request. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( - global::Google.Gemini.BatchStats? batchStats, - global::Google.Gemini.GenerateContentBatchOutput? output, string? updateTime, string? priority, - string? name, string? createTime, - string? endTime, - string? model, - global::Google.Gemini.GenerateContentBatchState? state, string? displayName, - global::Google.Gemini.InputConfig? inputConfig) + string? model, + global::Google.Gemini.InputConfig? inputConfig, + string? name, + global::Google.Gemini.GenerateContentBatchOutput? output, + string? endTime, + global::Google.Gemini.BatchStats? batchStats, + global::Google.Gemini.GenerateContentBatchState? state) { - this.BatchStats = batchStats; - this.Output = output; this.UpdateTime = updateTime; this.Priority = priority; - this.Name = name; this.CreateTime = createTime; - this.EndTime = endTime; - this.Model = model; - this.State = state; this.DisplayName = displayName; + this.Model = model; this.InputConfig = inputConfig; + this.Name = name; + this.Output = output; + this.EndTime = endTime; + this.BatchStats = batchStats; + this.State = state; } /// 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 f261d78b1..34444a6f9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs @@ -9,41 +9,41 @@ namespace Google.Gemini public sealed partial class GenerateContentRequest { /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// Optional. The service tier of the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] + public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] + public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// - /// Optional. The service tier of the request. + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] - public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("store")] + public bool? Store { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// /// 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}` @@ -52,22 +52,22 @@ public sealed partial class GenerateContentRequest public string? CachedContent { get; set; } /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] - public global::System.Collections.Generic.IList? SafetySettings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] - public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] + public global::System.Collections.Generic.IList? SafetySettings { get; set; } /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// 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("store")] - public bool? Store { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -78,61 +78,61 @@ public sealed partial class GenerateContentRequest /// /// 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The service tier of the request. + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in 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. The service tier of the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( - global::Google.Gemini.Content? systemInstruction, - global::System.Collections.Generic.IList? tools, - global::Google.Gemini.ToolConfig? toolConfig, - global::System.Collections.Generic.IList? contents, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, string? model, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, + global::Google.Gemini.GenerationConfig? generationConfig, + global::Google.Gemini.ToolConfig? toolConfig, + bool? store, + global::System.Collections.Generic.IList? tools, string? cachedContent, + global::Google.Gemini.Content? systemInstruction, global::System.Collections.Generic.IList? safetySettings, - global::Google.Gemini.GenerationConfig? generationConfig, - bool? store) + global::System.Collections.Generic.IList? contents) { - this.SystemInstruction = systemInstruction; - this.Tools = tools; - this.ToolConfig = toolConfig; - this.Contents = contents; - this.ServiceTier = serviceTier; this.Model = model; - this.CachedContent = cachedContent; - this.SafetySettings = safetySettings; + this.ServiceTier = serviceTier; this.GenerationConfig = generationConfig; + this.ToolConfig = toolConfig; this.Store = store; + this.Tools = tools; + this.CachedContent = cachedContent; + this.SystemInstruction = systemInstruction; + this.SafetySettings = safetySettings; + this.Contents = contents; } /// 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 4a5b7ce48..246306521 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class GenerateContentResponse { /// - /// Candidate responses from the model. + /// Metadata on the generation request's token usage. /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] - public global::System.Collections.Generic.IList? Candidates { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } /// /// Output only. response_id is used to identify each response.
@@ -22,16 +22,16 @@ public sealed partial class GenerateContentResponse public string? ResponseId { get; set; } /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// Candidate responses from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] - public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] + public global::System.Collections.Generic.IList? Candidates { get; set; } /// - /// Metadata on the generation request's token usage. + /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] + public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } /// /// Output only. The model version used to generate the response.
@@ -55,19 +55,19 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// - /// - /// Candidate responses from the model. + /// + /// Metadata on the generation request's token usage. /// /// /// Output only. response_id is used to identify each response.
/// Included only in responses /// + /// + /// Candidate responses from the model. + /// /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// - /// - /// Metadata on the generation request's token usage. - /// /// /// Output only. The model version used to generate the response.
/// Included only in responses @@ -79,17 +79,17 @@ public sealed partial class GenerateContentResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( - global::System.Collections.Generic.IList? candidates, + global::Google.Gemini.UsageMetadata? usageMetadata, string? responseId, + global::System.Collections.Generic.IList? candidates, global::Google.Gemini.PromptFeedback? promptFeedback, - global::Google.Gemini.UsageMetadata? usageMetadata, string? modelVersion, global::Google.Gemini.ModelStatus? modelStatus) { - this.Candidates = candidates; + this.UsageMetadata = usageMetadata; this.ResponseId = responseId; + this.Candidates = candidates; this.PromptFeedback = promptFeedback; - this.UsageMetadata = usageMetadata; this.ModelVersion = modelVersion; this.ModelStatus = modelStatus; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs index 1e5359b8d..f270d8490 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 @@ -20,12 +20,6 @@ public sealed partial class GeneratedFile [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } - /// /// Output only. The state of the GeneratedFile.
/// Included only in responses @@ -34,6 +28,12 @@ public sealed partial class GeneratedFile [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter))] public global::Google.Gemini.GeneratedFileState? State { get; set; } + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -49,26 +49,26 @@ public sealed partial class GeneratedFile /// /// 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). - /// /// /// Output only. The state of the GeneratedFile.
/// Included only in responses /// + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GeneratedFile( string? name, string? mimeType, - global::Google.Gemini.Status? error, - global::Google.Gemini.GeneratedFileState? state) + global::Google.Gemini.GeneratedFileState? state, + global::Google.Gemini.Status? error) { this.Name = name; this.MimeType = mimeType; - this.Error = error; this.State = state; + this.Error = error; } /// 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 da3294910..58464b0d3 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 @@ -9,22 +9,23 @@ namespace Google.Gemini public sealed partial class GenerationConfig { /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// Optional. If specified, the media resolution specified will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mediaResolution")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] + public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] - public float? PresencePenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { get; set; } /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] + public string? ResponseMimeType { get; set; } /// /// Optional. If true, export the logprobs results in response. @@ -33,101 +34,100 @@ public sealed partial class GenerationConfig public bool? ResponseLogprobs { 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). + /// Config for image generation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] + public int? CandidateCount { get; set; } /// - /// Optional. If specified, the media resolution specified will be used. + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// - [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("maxOutputTokens")] + public int? MaxOutputTokens { 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. + /// 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("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] + public global::Google.Gemini.Schema? ResponseSchema { get; set; } /// - /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) + /// Config for thinking features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] - public int? CandidateCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] + public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// 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("enableEnhancedCivicAnswers")] - public bool? EnableEnhancedCivicAnswers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] + public float? PresencePenalty { 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. 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("responseMimeType")] - public string? ResponseMimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] + public global::System.Collections.Generic.IList? StopSequences { get; set; } /// - /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Config for speech generation and transcription. + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } + [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. + /// 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; } /// - /// Config for thinking features. + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] - public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] + public bool? EnableEnhancedCivicAnswers { 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. An internal detail. Use `responseJsonSchema` rather than this field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] - public int? MaxOutputTokens { 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. 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("stopSequences")] - public global::System.Collections.Generic.IList? StopSequences { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. + /// 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("frequencyPenalty")] - public float? FrequencyPenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } /// - /// Config for image generation features. + /// Config for speech generation and transcription. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -138,111 +138,111 @@ public sealed partial class GenerationConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// + /// Optional. If specified, the media resolution specified will be used. /// - /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// - /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// + /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// /// /// Optional. If true, export the logprobs results in response. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. - /// - /// - /// Optional. If specified, the media resolution specified will be used. - /// - /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// Config for image generation features. /// /// /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. - /// - /// - /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. - /// - /// - /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. - /// - /// - /// Config for speech generation and transcription. + /// + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// - /// - /// Optional. 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. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// /// /// Config for thinking features. /// - /// - /// 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. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. /// /// /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. /// + /// + /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// /// /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// /// /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. /// - /// - /// Config for image generation features. + /// + /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// + /// + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// + /// + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// + /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// + /// 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 speech generation and transcription. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - object? responseJsonSchema, - float? presencePenalty, - float? temperature, - bool? responseLogprobs, - global::Google.Gemini.Schema? responseSchema, - int? logprobs, global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, - int? topK, - int? candidateCount, - bool? enableEnhancedCivicAnswers, - string? responseMimeType, - float? topP, - global::Google.Gemini.SpeechConfig? speechConfig, global::System.Collections.Generic.IList? responseModalities, - global::Google.Gemini.ThinkingConfig? thinkingConfig, + string? responseMimeType, + bool? responseLogprobs, + global::Google.Gemini.ImageConfig? imageConfig, + int? candidateCount, int? maxOutputTokens, + global::Google.Gemini.Schema? responseSchema, + global::Google.Gemini.ThinkingConfig? thinkingConfig, + float? presencePenalty, global::System.Collections.Generic.IList? stopSequences, + float? temperature, int? seed, float? frequencyPenalty, - global::Google.Gemini.ImageConfig? imageConfig) + bool? enableEnhancedCivicAnswers, + object? responseJsonSchema, + int? topK, + float? topP, + int? logprobs, + global::Google.Gemini.SpeechConfig? speechConfig) { - this.ResponseJsonSchema = responseJsonSchema; - this.PresencePenalty = presencePenalty; - this.Temperature = temperature; - this.ResponseLogprobs = responseLogprobs; - this.ResponseSchema = responseSchema; - this.Logprobs = logprobs; this.MediaResolution = mediaResolution; - this.TopK = topK; - this.CandidateCount = candidateCount; - this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; - this.ResponseMimeType = responseMimeType; - this.TopP = topP; - this.SpeechConfig = speechConfig; this.ResponseModalities = responseModalities; - this.ThinkingConfig = thinkingConfig; + this.ResponseMimeType = responseMimeType; + this.ResponseLogprobs = responseLogprobs; + this.ImageConfig = imageConfig; + this.CandidateCount = candidateCount; this.MaxOutputTokens = maxOutputTokens; + this.ResponseSchema = responseSchema; + this.ThinkingConfig = thinkingConfig; + this.PresencePenalty = presencePenalty; this.StopSequences = stopSequences; + this.Temperature = temperature; this.Seed = seed; this.FrequencyPenalty = frequencyPenalty; - this.ImageConfig = imageConfig; + this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; + this.ResponseJsonSchema = responseJsonSchema; + this.TopK = topK; + this.TopP = topP; + this.Logprobs = logprobs; + this.SpeechConfig = speechConfig; } /// 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 7daec9b8a..480a15ce9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport { + /// + /// Segment of the content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("segment")] + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { get; set; } + /// /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// @@ -21,12 +27,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] public global::System.Collections.Generic.IList? RenderedParts { get; set; } - /// - /// Segment of the content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("segment")] - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { get; set; } - /// /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). /// @@ -42,6 +42,9 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Initializes a new instance of the class. /// + /// + /// Segment of the content. + /// /// /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// @@ -49,9 +52,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
/// Included only in responses /// - /// - /// Segment of the content. - /// /// /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). /// @@ -59,14 +59,14 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( + global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, global::System.Collections.Generic.IList? confidenceScores, global::System.Collections.Generic.IList? renderedParts, - global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, global::System.Collections.Generic.IList? groundingChunkIndices) { + this.Segment = segment; this.ConfidenceScores = confidenceScores; this.RenderedParts = renderedParts; - this.Segment = segment; this.GroundingChunkIndices = groundingChunkIndices; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs index f34adfe38..2ff0b2c8e 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class GoogleAiGenerativelanguageV1betaSegment { /// - /// The index of a Part object within its parent Content object. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] - public int? PartIndex { get; set; } - - /// - /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// - [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] - public int? StartIndex { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } /// /// The text corresponding to the segment from the response. @@ -27,10 +21,16 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment public string? Text { get; set; } /// - /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. + /// 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("endIndex")] - public int? EndIndex { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] + public int? StartIndex { get; set; } + + /// + /// The index of a Part object within its parent Content object. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] + public int? PartIndex { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// Initializes a new instance of the class. /// - /// - /// The index of a Part object within its parent Content object. - /// - /// - /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. + /// + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// /// /// The text corresponding to the segment from the response. /// - /// - /// 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 index of a Part object within its parent Content object. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( - int? partIndex, - int? startIndex, + int? endIndex, string? text, - int? endIndex) + int? startIndex, + int? partIndex) { - this.PartIndex = partIndex; - this.StartIndex = startIndex; - this.Text = text; this.EndIndex = endIndex; + this.Text = text; + this.StartIndex = startIndex; + this.PartIndex = partIndex; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs index 49ab38161..f33a82f52 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs @@ -15,10 +15,10 @@ public sealed partial class GroundingChunk public global::Google.Gemini.Image? Image { get; set; } /// - /// Chunk from the web. + /// Chunk from context retrieved by the file search tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("web")] - public global::Google.Gemini.Web? Web { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("retrievedContext")] + public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. @@ -27,10 +27,10 @@ public sealed partial class GroundingChunk public global::Google.Gemini.Maps? Maps { get; set; } /// - /// Chunk from context retrieved by the file search tool. + /// Chunk from the web. /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievedContext")] - public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("web")] + public global::Google.Gemini.Web? Web { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -44,28 +44,28 @@ public sealed partial class GroundingChunk /// /// Chunk from image search. /// - /// - /// Chunk from the web. + /// + /// Chunk from context retrieved by the file search tool. /// /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// - /// - /// Chunk from context retrieved by the file search tool. + /// + /// Chunk from the web. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( global::Google.Gemini.Image? image, - global::Google.Gemini.Web? web, + global::Google.Gemini.RetrievedContext? retrievedContext, global::Google.Gemini.Maps? maps, - global::Google.Gemini.RetrievedContext? retrievedContext) + global::Google.Gemini.Web? web) { this.Image = image; - this.Web = web; - this.Maps = maps; this.RetrievedContext = retrievedContext; + this.Maps = maps; + this.Web = web; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs index cc267c58b..95e5bbd04 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class GroundingChunkCustomMetadata { - /// - /// Optional. The string value of the metadata. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] - public string? StringValue { get; set; } - /// /// A list of string values. /// @@ -26,6 +20,12 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] public float? NumericValue { get; set; } + /// + /// Optional. The string value of the metadata. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] + public string? StringValue { get; set; } + /// /// The key of the metadata. /// @@ -41,15 +41,15 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// Optional. The string value of the metadata. - /// /// /// A list of string values. /// /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// + /// + /// Optional. The string value of the metadata. + /// /// /// The key of the metadata. /// @@ -57,14 +57,14 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( - string? stringValue, global::Google.Gemini.GroundingChunkStringList? stringListValue, float? numericValue, + string? stringValue, string? key) { - this.StringValue = stringValue; this.StringListValue = stringListValue; this.NumericValue = numericValue; + this.StringValue = stringValue; this.Key = key; } 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 d920c94cd..7144e6105 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GroundingMetadata { + /// + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] + public global::System.Collections.Generic.IList? GroundingChunks { get; set; } + /// /// Web search queries for the following-up web search. /// @@ -15,10 +21,10 @@ public sealed partial class GroundingMetadata public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } /// - /// Image search queries used for grounding. + /// Google search entry point. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] - public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] + public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } /// /// List of grounding support. @@ -33,16 +39,10 @@ public sealed partial class GroundingMetadata public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } /// - /// Google search entry point. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] - public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } - - /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// Image search queries used for grounding. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] - public global::System.Collections.Generic.IList? GroundingChunks { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] + public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } /// /// 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. @@ -59,11 +59,14 @@ public sealed partial class GroundingMetadata /// /// Initializes a new instance of the class. /// + /// + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// /// /// Web search queries for the following-up web search. /// - /// - /// Image search queries used for grounding. + /// + /// Google search entry point. /// /// /// List of grounding support. @@ -71,11 +74,8 @@ public sealed partial class GroundingMetadata /// /// Metadata related to retrieval in the grounding flow. /// - /// - /// Google search entry point. - /// - /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// + /// Image search queries used for grounding. /// /// /// 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. @@ -84,20 +84,20 @@ public sealed partial class GroundingMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( + global::System.Collections.Generic.IList? groundingChunks, global::System.Collections.Generic.IList? webSearchQueries, - global::System.Collections.Generic.IList? imageSearchQueries, + global::Google.Gemini.SearchEntryPoint? searchEntryPoint, global::System.Collections.Generic.IList? groundingSupports, global::Google.Gemini.RetrievalMetadata? retrievalMetadata, - global::Google.Gemini.SearchEntryPoint? searchEntryPoint, - global::System.Collections.Generic.IList? groundingChunks, + global::System.Collections.Generic.IList? imageSearchQueries, string? googleMapsWidgetContextToken) { + this.GroundingChunks = groundingChunks; this.WebSearchQueries = webSearchQueries; - this.ImageSearchQueries = imageSearchQueries; + this.SearchEntryPoint = searchEntryPoint; this.GroundingSupports = groundingSupports; this.RetrievalMetadata = retrievalMetadata; - this.SearchEntryPoint = searchEntryPoint; - this.GroundingChunks = groundingChunks; + this.ImageSearchQueries = imageSearchQueries; this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs index 7addc24e5..63f644120 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 @@ -9,16 +9,10 @@ namespace Google.Gemini 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] - public float? LearningRateMultiplier { get; set; } - - /// - /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. + /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] - public float? LearningRate { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] + public int? BatchSize { get; set; } /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. @@ -27,10 +21,16 @@ public sealed partial class Hyperparameters 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. + /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] - public int? BatchSize { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] + public float? LearningRate { get; set; } + + /// + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] + public float? LearningRateMultiplier { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class Hyperparameters /// /// Initializes a new instance of the class. /// - /// - /// Optional. Immutable. The learning rate 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. - /// - /// - /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. + /// + /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. /// - /// - /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. + /// + /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. + /// + /// + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( - float? learningRateMultiplier, - float? learningRate, + int? batchSize, int? epochCount, - int? batchSize) + float? learningRate, + float? learningRateMultiplier) { - this.LearningRateMultiplier = learningRateMultiplier; - this.LearningRate = learningRate; - this.EpochCount = epochCount; this.BatchSize = batchSize; + this.EpochCount = epochCount; + this.LearningRate = learningRate; + this.LearningRateMultiplier = learningRateMultiplier; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs index b4add7f1e..d4d85b788 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class Image { - /// - /// The title of the web page that the image is from. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - - /// - /// The root domain of the web page that the image is from, e.g. "example.com". - /// - [global::System.Text.Json.Serialization.JsonPropertyName("domain")] - public string? Domain { get; set; } - /// /// The web page URI for attribution. /// @@ -32,6 +20,18 @@ public sealed partial class Image [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] public string? ImageUri { get; set; } + /// + /// The title of the web page that the image is from. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + + /// + /// The root domain of the web page that the image is from, e.g. "example.com". + /// + [global::System.Text.Json.Serialization.JsonPropertyName("domain")] + public string? Domain { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class Image /// /// Initializes a new instance of the class. /// - /// - /// The title of the web page that the image is from. - /// - /// - /// The root domain of the web page that the image is from, e.g. "example.com". - /// /// /// 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". + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( - string? title, - string? domain, string? sourceUri, - string? imageUri) + string? imageUri, + string? title, + string? domain) { - this.Title = title; - this.Domain = domain; this.SourceUri = sourceUri; this.ImageUri = imageUri; + this.Title = title; + this.Domain = domain; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs index 99bdd63dd..16ecdeeba 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class ImportFileRequest { /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// 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("fileName")] - public string? FileName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] + public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } /// /// Custom metadata to be associated with the file. @@ -21,10 +21,10 @@ public sealed partial class ImportFileRequest 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 + /// Required. The name of the `File` to import. Example: `files/abc-123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] - public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class ImportFileRequest /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// 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. /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImportFileRequest( - string? fileName, + global::Google.Gemini.ChunkingConfig? chunkingConfig, global::System.Collections.Generic.IList? customMetadata, - global::Google.Gemini.ChunkingConfig? chunkingConfig) + string? fileName) { - this.FileName = 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 5849d8d11..d705a9787 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 @@ -8,18 +8,18 @@ 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). /// [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } + /// + /// The response to an `EmbedContentRequest`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.EmbedContentResponse? Response { get; set; } + /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -36,12 +36,12 @@ 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). /// + /// + /// The response to an `EmbedContentRequest`. + /// /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -50,12 +50,12 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentResponse( - global::Google.Gemini.EmbedContentResponse? response, global::Google.Gemini.Status? error, + global::Google.Gemini.EmbedContentResponse? response, object? metadata) { - this.Response = response; this.Error = error; + this.Response = response; this.Metadata = metadata; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs index 5993a5bbc..d67554e5e 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 @@ -9,10 +9,11 @@ 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`. + /// Output only. The metadata associated with the request.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.GenerateContentResponse? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). @@ -21,11 +22,10 @@ public sealed partial class InlinedResponse public global::Google.Gemini.Status? Error { get; set; } /// - /// Output only. The metadata associated with the request.
- /// Included only in responses + /// 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("metadata")] - public object? Metadata { get; set; } + [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 @@ -36,27 +36,27 @@ 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 /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - /// - /// Output only. The metadata associated with the request.
- /// Included only in responses + /// + /// 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, - object? metadata) + global::Google.Gemini.GenerateContentResponse? response) { - this.Response = response; - this.Error = error; this.Metadata = metadata; + this.Error = error; + this.Response = response; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs index 8f9cc3b2c..d54084716 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class LatLng { - /// - /// The longitude in degrees. It must be in the range [-180.0, +180.0]. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("longitude")] - public double? Longitude { get; set; } - /// /// The latitude in degrees. It must be in the range [-90.0, +90.0]. /// [global::System.Text.Json.Serialization.JsonPropertyName("latitude")] public double? Latitude { get; set; } + /// + /// The longitude in degrees. It must be in the range [-180.0, +180.0]. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("longitude")] + public double? Longitude { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class LatLng /// /// Initializes a new instance of the class. /// - /// - /// The longitude in degrees. It must be in the range [-180.0, +180.0]. - /// /// /// The latitude in degrees. It must be in the range [-90.0, +90.0]. /// + /// + /// The longitude in degrees. It must be in the range [-180.0, +180.0]. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LatLng( - double? longitude, - double? latitude) + double? latitude, + double? longitude) { - this.Longitude = longitude; this.Latitude = latitude; + this.Longitude = longitude; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs index 841ed8850..b64b02ebd 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.ListOperationsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs index ad5ab25bc..ade5a8ecf 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 @@ -14,18 +14,18 @@ public sealed partial class ListOperationsResponse [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } - /// - /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("unreachable")] - public global::System.Collections.Generic.IList? Unreachable { get; set; } - /// /// A list of operations that matches the specified filter in the request. /// [global::System.Text.Json.Serialization.JsonPropertyName("operations")] public global::System.Collections.Generic.IList? Operations { get; set; } + /// + /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("unreachable")] + public global::System.Collections.Generic.IList? Unreachable { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ListOperationsResponse /// /// The standard List next-page token. /// - /// - /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. - /// /// /// A list of operations that matches the specified filter in the request. /// + /// + /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( string? nextPageToken, - global::System.Collections.Generic.IList? unreachable, - global::System.Collections.Generic.IList? operations) + global::System.Collections.Generic.IList? operations, + global::System.Collections.Generic.IList? unreachable) { this.NextPageToken = nextPageToken; - this.Unreachable = unreachable; this.Operations = operations; + this.Unreachable = unreachable; } /// 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 3b174b5df..c530ffd44 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.LogprobsResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs index d717cd002..296ff44e1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class LogprobsResult { - /// - /// Sum of log probabilities for all tokens. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("logProbabilitySum")] - public float? LogProbabilitySum { get; set; } - /// /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. /// [global::System.Text.Json.Serialization.JsonPropertyName("chosenCandidates")] public global::System.Collections.Generic.IList? ChosenCandidates { get; set; } + /// + /// Sum of log probabilities for all tokens. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("logProbabilitySum")] + public float? LogProbabilitySum { get; set; } + /// /// Length = total number of decoding steps. /// @@ -35,12 +35,12 @@ public sealed partial class LogprobsResult /// /// Initializes a new instance of the class. /// - /// - /// Sum of log probabilities for all tokens. - /// /// /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. /// + /// + /// Sum of log probabilities for all tokens. + /// /// /// Length = total number of decoding steps. /// @@ -48,12 +48,12 @@ public sealed partial class LogprobsResult [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResult( - float? logProbabilitySum, global::System.Collections.Generic.IList? chosenCandidates, + float? logProbabilitySum, global::System.Collections.Generic.IList? topCandidates) { - this.LogProbabilitySum = logProbabilitySum; this.ChosenCandidates = chosenCandidates; + this.LogProbabilitySum = logProbabilitySum; this.TopCandidates = topCandidates; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index 1c4558c4e..4bd42faa4 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 string value. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("token")] - public string? Token { get; set; } - /// /// The candidate’s token id 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 string value. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("token")] + public string? Token { 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 string value. - /// /// /// The candidate’s token id value. /// /// /// The candidate's log probability. /// + /// + /// The candidate’s token string value. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( - string? token, int? tokenId, - float? logProbability) + float? logProbability, + string? token) { - this.Token = token; this.TokenId = tokenId; this.LogProbability = logProbability; + this.Token = token; } /// 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 fa1225caa..37f0a2bab 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Maps { - /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] - public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } - /// /// URI reference of the place. /// @@ -38,6 +32,12 @@ public sealed partial class Maps [global::System.Text.Json.Serialization.JsonPropertyName("text")] public string? Text { get; set; } + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] + public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,9 +47,6 @@ public sealed partial class Maps /// /// Initializes a new instance of the class. /// - /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. - /// /// /// URI reference of the place. /// @@ -62,21 +59,24 @@ public sealed partial class Maps /// /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( - global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, string? uri, string? placeId, string? title, - string? text) + string? text, + global::Google.Gemini.PlaceAnswerSources? placeAnswerSources) { - this.PlaceAnswerSources = placeAnswerSources; this.Uri = uri; this.PlaceId = placeId; this.Title = title; this.Text = text; + this.PlaceAnswerSources = placeAnswerSources; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs index ab8cc3280..d1c47b483 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class McpServer { - /// - /// The name of the MCPServer. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// A transport that can stream HTTP requests and responses. Next ID: 6 /// [global::System.Text.Json.Serialization.JsonPropertyName("streamableHttpTransport")] public global::Google.Gemini.StreamableHttpTransport? StreamableHttpTransport { get; set; } + /// + /// The name of the MCPServer. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class McpServer /// /// Initializes a new instance of the class. /// - /// - /// The name of the MCPServer. - /// /// /// A transport that can stream HTTP requests and responses. Next ID: 6 /// + /// + /// The name of the MCPServer. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public McpServer( - string? name, - global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport) + global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport, + string? name) { - this.Name = name; this.StreamableHttpTransport = streamableHttpTransport; + this.Name = name; } /// 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 cfd001efd..41d99a984 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 @@ -9,28 +9,16 @@ namespace Google.Gemini public sealed partial class Model { /// - /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) - /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } - - /// - /// A short description of the model. + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// The maximum temperature this model can use. + /// Whether the model supports thinking. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] - public float? MaxTemperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] + public bool? Thinking { 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. @@ -39,16 +27,16 @@ public sealed partial class Model public float? TopP { get; set; } /// - /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. + /// 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("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// 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`) /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] - public int? OutputTokenLimit { 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`. @@ -57,22 +45,28 @@ public sealed partial class Model public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Maximum number of input tokens allowed for this model. + /// A short description of the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Whether the model supports thinking. + /// 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("thinking")] - public bool? Thinking { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } + + /// + /// The maximum temperature this model can use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { get; set; } /// /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` @@ -81,10 +75,16 @@ public sealed partial class Model public string? BaseModelId { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { 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. /// + /// + /// 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. + /// + /// + /// Whether the model supports thinking. + /// + /// + /// 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 resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` /// /// /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - /// - /// A short description of the model. - /// - /// - /// The maximum temperature this model can use. - /// - /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// /// /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// - /// - /// Maximum number of output tokens available for this model. - /// - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// + /// A short description of the model. /// /// /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - /// - /// Maximum number of input tokens allowed for this model. - /// - /// - /// Whether the model supports thinking. + /// + /// 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` /// - /// - /// 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. + /// + /// + /// Maximum number of output tokens available for this model. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( + int? topK, + bool? thinking, + float? topP, string? name, string? version, - string? description, - float? maxTemperature, - float? topP, - string? displayName, - int? outputTokenLimit, global::System.Collections.Generic.IList? supportedGenerationMethods, + string? displayName, + string? description, float? temperature, - int? inputTokenLimit, - bool? thinking, + float? maxTemperature, string? baseModelId, - int? topK) + int? inputTokenLimit, + int? outputTokenLimit) { + this.TopK = topK; + this.Thinking = thinking; + this.TopP = topP; this.Name = name; this.Version = version; - this.Description = description; - this.MaxTemperature = maxTemperature; - this.TopP = topP; - this.DisplayName = displayName; - this.OutputTokenLimit = outputTokenLimit; this.SupportedGenerationMethods = supportedGenerationMethods; + this.DisplayName = displayName; + this.Description = description; this.Temperature = temperature; - this.InputTokenLimit = inputTokenLimit; - this.Thinking = thinking; + this.MaxTemperature = maxTemperature; this.BaseModelId = baseModelId; - this.TopK = topK; + this.InputTokenLimit = inputTokenLimit; + this.OutputTokenLimit = outputTokenLimit; } /// 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 10303d151..ad41b18b6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ModelStatus { - /// - /// A message explaining the model status. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("message")] - public string? Message { get; set; } - /// /// The stage of the underlying model. /// @@ -21,6 +15,12 @@ public sealed partial class ModelStatus [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter))] public global::Google.Gemini.ModelStatusModelStage? ModelStage { get; set; } + /// + /// A message explaining the model status. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("message")] + public string? Message { get; set; } + /// /// The time at which the model will be retired. /// @@ -36,12 +36,12 @@ public sealed partial class ModelStatus /// /// Initializes a new instance of the class. /// - /// - /// A message explaining the model status. - /// /// /// The stage of the underlying model. /// + /// + /// A message explaining the model status. + /// /// /// The time at which the model will be retired. /// @@ -49,12 +49,12 @@ public sealed partial class ModelStatus [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( - string? message, global::Google.Gemini.ModelStatusModelStage? modelStage, + string? message, string? retirementTime) { - this.Message = message; this.ModelStage = modelStage; + this.Message = message; this.RetirementTime = retirementTime; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs index ffeb9c24a..f49b19f51 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class Operation { - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. - /// - [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). /// @@ -38,6 +26,18 @@ public sealed partial class Operation [global::System.Text.Json.Serialization.JsonPropertyName("done")] public bool? Done { get; set; } + /// + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,12 +47,6 @@ public sealed partial class Operation /// /// Initializes a new instance of the class. /// - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. - /// - /// - /// 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). /// @@ -62,21 +56,27 @@ public sealed partial class Operation /// /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// + /// + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Operation( - string? name, - object? metadata, global::Google.Gemini.Status? error, object? response, - bool? done) + bool? done, + string? name, + object? metadata) { - this.Name = name; - this.Metadata = metadata; this.Error = error; this.Response = response; this.Done = done; + this.Name = name; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs index aaa615d82..ad9f905cf 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 @@ -11,10 +11,16 @@ namespace Google.Gemini public sealed partial class Part { /// - /// Inline text. + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] + public byte[]? ThoughtSignature { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] + public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } /// /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. @@ -23,16 +29,16 @@ public sealed partial class Part public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } /// - /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// Inline text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] - public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { 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. + /// 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("functionResponse")] - public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] + public object? PartMetadata { get; set; } /// /// URI based data. @@ -41,16 +47,10 @@ public sealed partial class Part public global::Google.Gemini.FileData? FileData { get; set; } /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] - public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } - - /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// 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("inlineData")] - public global::Google.Gemini.Blob? InlineData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] + public global::Google.Gemini.ToolCall? ToolCall { get; set; } /// /// Optional. Indicates if the part is thought from the model. @@ -66,16 +66,10 @@ public sealed partial class Part public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] - public byte[]? ThoughtSignature { get; set; } - - /// - /// 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 output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] - public global::Google.Gemini.ToolCall? ToolCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] + public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } /// /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. @@ -84,10 +78,16 @@ public sealed partial class Part public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] - public object? PartMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] + public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + + /// + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] + public global::Google.Gemini.Blob? InlineData { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -98,71 +98,71 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// - /// - /// Inline text. + /// + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// + /// + /// 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. /// - /// - /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// + /// Inline text. /// - /// - /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. + /// + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// /// /// URI based data. /// - /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. - /// - /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// + /// 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`. /// /// /// Optional. Indicates if the part is thought from the model. /// - /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. - /// - /// - /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// + /// 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 `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// + /// + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( - string? text, - global::Google.Gemini.ExecutableCode? executableCode, - global::Google.Gemini.ToolResponse? toolResponse, + byte[]? thoughtSignature, global::Google.Gemini.FunctionResponse? functionResponse, + global::Google.Gemini.ExecutableCode? executableCode, + string? text, + object? partMetadata, global::Google.Gemini.FileData? fileData, - global::Google.Gemini.CodeExecutionResult? codeExecutionResult, - global::Google.Gemini.Blob? inlineData, - bool? thought, - byte[]? thoughtSignature, global::Google.Gemini.ToolCall? toolCall, + bool? thought, + global::Google.Gemini.ToolResponse? toolResponse, global::Google.Gemini.FunctionCall? functionCall, - object? partMetadata) + global::Google.Gemini.CodeExecutionResult? codeExecutionResult, + global::Google.Gemini.Blob? inlineData) { - this.Text = text; - this.ExecutableCode = executableCode; - this.ToolResponse = toolResponse; + this.ThoughtSignature = thoughtSignature; this.FunctionResponse = functionResponse; + this.ExecutableCode = executableCode; + this.Text = text; + this.PartMetadata = partMetadata; this.FileData = fileData; - this.CodeExecutionResult = codeExecutionResult; - this.InlineData = inlineData; - this.Thought = thought; - this.ThoughtSignature = thoughtSignature; this.ToolCall = toolCall; + this.Thought = thought; + this.ToolResponse = toolResponse; this.FunctionCall = functionCall; - this.PartMetadata = partMetadata; + this.CodeExecutionResult = codeExecutionResult; + this.InlineData = inlineData; } /// 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 f579f356e..9a41c0152 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 @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class Permission { + /// + /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Optional. Immutable. The type of the grantee. /// @@ -15,6 +22,12 @@ public sealed partial class Permission [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter))] public global::Google.Gemini.PermissionGranteeType? GranteeType { get; set; } + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] + public string? EmailAddress { get; set; } + /// /// Required. The role granted by this permission. /// @@ -22,19 +35,6 @@ 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; } - /// - /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] - public string? EmailAddress { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,32 +44,32 @@ public sealed partial class Permission /// /// Initializes a new instance of the class. /// - /// - /// Optional. Immutable. The type of the grantee. - /// - /// - /// Required. The role granted by this permission. - /// /// /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
/// Included only in responses /// + /// + /// Optional. Immutable. The type of the grantee. + /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( - global::Google.Gemini.PermissionGranteeType? granteeType, - global::Google.Gemini.PermissionRole? role, string? name, - string? emailAddress) + global::Google.Gemini.PermissionGranteeType? granteeType, + string? emailAddress, + global::Google.Gemini.PermissionRole? role) { - this.GranteeType = granteeType; - this.Role = role; this.Name = name; + this.GranteeType = granteeType; this.EmailAddress = emailAddress; + this.Role = role; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs index 458cc7a70..f7e526d8a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class PromptFeedback { + /// + /// Ratings for safety of the prompt. There is at most one rating per category. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + /// /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. /// @@ -15,12 +21,6 @@ public sealed partial class PromptFeedback [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter))] public global::Google.Gemini.PromptFeedbackBlockReason? BlockReason { get; set; } - /// - /// Ratings for safety of the prompt. There is at most one rating per category. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class PromptFeedback /// /// Initializes a new instance of the class. /// - /// - /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. - /// /// /// Ratings for safety of the prompt. There is at most one rating per category. /// + /// + /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public PromptFeedback( - global::Google.Gemini.PromptFeedbackBlockReason? blockReason, - global::System.Collections.Generic.IList? safetyRatings) + global::System.Collections.Generic.IList? safetyRatings, + global::Google.Gemini.PromptFeedbackBlockReason? blockReason) { - this.BlockReason = blockReason; this.SafetyRatings = safetyRatings; + this.BlockReason = blockReason; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs index e47e2a124..eb7de27c0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs @@ -9,22 +9,22 @@ namespace Google.Gemini public sealed partial class RetrievedContext { /// - /// Optional. Page number of the retrieved context, if applicable. + /// Optional. Text of the chunk. /// - [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] - public int? PageNumber { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// - /// Optional. URI reference of the semantic retrieval document. + /// Optional. Page number of the retrieved context, if applicable. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] + public int? PageNumber { get; set; } /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// Optional. Title of the document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] - public string? FileSearchStore { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Optional. User-provided metadata about the retrieved context. @@ -33,22 +33,22 @@ public sealed partial class RetrievedContext public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// - /// Optional. Title of the document. + /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] + public string? MediaId { get; set; } /// - /// Optional. Text of the chunk. + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] + public string? FileSearchStore { get; set; } /// - /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} + /// Optional. URI reference of the semantic retrieval document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] - public string? MediaId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,46 +59,46 @@ public sealed partial class RetrievedContext /// /// Initializes a new instance of the class. /// + /// + /// Optional. Text of the chunk. + /// /// /// Optional. Page number of the retrieved context, if applicable. /// - /// - /// Optional. URI reference of the semantic retrieval document. - /// - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` - /// - /// - /// Optional. User-provided metadata about the retrieved context. - /// /// /// Optional. Title of the document. /// - /// - /// Optional. Text of the chunk. + /// + /// Optional. User-provided metadata about the retrieved context. /// /// /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} /// + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// + /// + /// Optional. URI reference of the semantic retrieval document. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( + string? text, int? pageNumber, - string? uri, - string? fileSearchStore, - global::System.Collections.Generic.IList? customMetadata, string? title, - string? text, - string? mediaId) + global::System.Collections.Generic.IList? customMetadata, + string? mediaId, + string? fileSearchStore, + string? uri) { + this.Text = text; this.PageNumber = pageNumber; - this.Uri = uri; - this.FileSearchStore = fileSearchStore; - this.CustomMetadata = customMetadata; this.Title = title; - this.Text = text; + this.CustomMetadata = customMetadata; this.MediaId = mediaId; + this.FileSearchStore = fileSearchStore; + this.Uri = uri; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs index 550780da3..db35d0251 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ReviewSnippet { - /// - /// The ID of the review snippet. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] - public string? ReviewId { get; set; } - /// /// A link that corresponds to the user review on Google Maps. /// [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsUri")] public string? GoogleMapsUri { get; set; } + /// + /// The ID of the review snippet. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] + public string? ReviewId { get; set; } + /// /// Title of the review. /// @@ -35,12 +35,12 @@ public sealed partial class ReviewSnippet /// /// Initializes a new instance of the class. /// - /// - /// The ID of the review snippet. - /// /// /// A link that corresponds to the user review on Google Maps. /// + /// + /// The ID of the review snippet. + /// /// /// Title of the review. /// @@ -48,12 +48,12 @@ public sealed partial class ReviewSnippet [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ReviewSnippet( - string? reviewId, string? googleMapsUri, + string? reviewId, string? title) { - this.ReviewId = reviewId; this.GoogleMapsUri = googleMapsUri; + this.ReviewId = reviewId; this.Title = title; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs index 5b9fe839d..1575df9d2 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. /// @@ -15,12 +21,6 @@ public sealed partial class SafetyRating [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter))] public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } - /// - /// Was this content blocked because of this rating? - /// - [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] - public bool? Blocked { get; set; } - /// /// Required. The probability of harm for this content. /// @@ -37,12 +37,12 @@ public sealed partial class SafetyRating /// /// Initializes a new instance of the class. /// - /// - /// Required. The category for this rating. - /// /// /// Was this content blocked because of this rating? /// + /// + /// Required. The category for this rating. + /// /// /// Required. The probability of harm for this content. /// @@ -50,12 +50,12 @@ public sealed partial class SafetyRating [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( - global::Google.Gemini.SafetyRatingCategory? category, bool? blocked, + global::Google.Gemini.SafetyRatingCategory? category, global::Google.Gemini.SafetyRatingProbability? probability) { - this.Category = category; this.Blocked = blocked; + this.Category = category; this.Probability = probability; } 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 c6cf2cce1..dbc2a7d37 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 @@ -9,22 +9,22 @@ namespace Google.Gemini public sealed partial class Schema { /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// Optional. Indicates if the value may be null. /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] + public bool? Nullable { get; set; } /// - /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. + /// Optional. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] - public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// Optional. Example of the object. Will only populated when the object is the root. /// - [global::System.Text.Json.Serialization.JsonPropertyName("format")] - public string? Format { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("example")] + public object? Example { get; set; } /// /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING @@ -33,34 +33,35 @@ public sealed partial class Schema public string? MinLength { 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. The value should be validated against any (one or more) of the subschemas in the list. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enum")] - public global::System.Collections.Generic.IList? Enum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] + public global::System.Collections.Generic.IList? AnyOf { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enum")] + public global::System.Collections.Generic.IList? Enum { get; set; } /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] - public string? Pattern { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] + public double? Maximum { get; set; } /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// Optional. Maximum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] - public string? MinItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] + public string? MaxLength { get; set; } /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] - public double? Maximum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("type")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] + public global::Google.Gemini.SchemaType? Type { get; set; } /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER @@ -69,16 +70,16 @@ public sealed partial class Schema public double? Minimum { 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. Minimum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("items")] - public global::Google.Gemini.Schema? Items { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] + public string? MinItems { get; set; } /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] - public string? MaxProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("items")] + public global::Google.Gemini.Schema? Items { get; set; } /// /// Optional. Required properties of Type.OBJECT. @@ -87,47 +88,46 @@ public sealed partial class Schema 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. Example of the object. Will only populated when the object is the root. + /// Optional. Maximum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("example")] - public object? Example { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + public string? MaxItems { get; set; } /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// Optional. Maximum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] - public global::System.Collections.Generic.IList? AnyOf { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] + public string? MaxProperties { get; set; } /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { get; set; } /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// 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("maxItems")] - public string? MaxItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { get; set; } /// - /// Required. Data type. + /// 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("type")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] - public global::Google.Gemini.SchemaType? Type { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] + public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } /// - /// Optional. The title of the schema. + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// /// Optional. Minimum number of the properties for Type.OBJECT. @@ -136,10 +136,10 @@ public sealed partial class Schema public string? MinProperties { get; set; } /// - /// Optional. Indicates if the value may be null. + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] - public bool? Nullable { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -150,121 +150,121 @@ public sealed partial class Schema /// /// Initializes a new instance of the class. /// - /// - /// Optional. 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. Indicates if the value may be null. /// - /// - /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. + /// + /// Optional. Properties of Type.OBJECT. /// - /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// + /// 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. 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. Properties of Type.OBJECT. - /// - /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. - /// - /// - /// Optional. Minimum number of the elements for Type.ARRAY. - /// /// /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// + /// + /// Optional. Maximum length of the Type.STRING + /// + /// + /// Required. Data type. + /// /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// + /// + /// Optional. Minimum number of the elements for Type.ARRAY. + /// /// /// 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. Required properties of Type.OBJECT. /// - /// - /// Optional. Maximum length of the Type.STRING + /// + /// Optional. The title of the schema. /// - /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// + /// Optional. Maximum number of the elements for Type.ARRAY. /// - /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// + /// Optional. Maximum number of the properties for Type.OBJECT. /// - /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - /// - /// Required. Data type. + /// + /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. /// - /// - /// Optional. The title of the schema. + /// + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// /// /// Optional. Minimum number of the properties for Type.OBJECT. /// - /// - /// Optional. Indicates if the value may be null. + /// + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - object? @default, - global::System.Collections.Generic.IList? propertyOrdering, - string? format, + bool? nullable, + global::System.Collections.Generic.Dictionary? properties, + object? example, string? minLength, + global::System.Collections.Generic.IList? anyOf, global::System.Collections.Generic.IList? @enum, - global::System.Collections.Generic.Dictionary? properties, - string? pattern, - string? minItems, double? maximum, + string? maxLength, + global::Google.Gemini.SchemaType? type, double? minimum, + string? minItems, global::Google.Gemini.Schema? items, - string? maxProperties, global::System.Collections.Generic.IList? required, - string? maxLength, - object? example, - global::System.Collections.Generic.IList? anyOf, - string? description, - string? maxItems, - global::Google.Gemini.SchemaType? type, string? title, + string? maxItems, + string? maxProperties, + string? format, + object? @default, + global::System.Collections.Generic.IList? propertyOrdering, + string? description, string? minProperties, - bool? nullable) + string? pattern) { - this.Default = @default; - this.PropertyOrdering = propertyOrdering; - this.Format = format; + this.Nullable = nullable; + this.Properties = properties; + this.Example = example; this.MinLength = minLength; + this.AnyOf = anyOf; this.Enum = @enum; - this.Properties = properties; - this.Pattern = pattern; - this.MinItems = minItems; this.Maximum = maximum; + this.MaxLength = maxLength; + this.Type = type; this.Minimum = minimum; + this.MinItems = minItems; this.Items = items; - this.MaxProperties = maxProperties; this.Required = required; - this.MaxLength = maxLength; - this.Example = example; - this.AnyOf = anyOf; - this.Description = description; - this.MaxItems = maxItems; - this.Type = type; this.Title = title; + this.MaxItems = maxItems; + this.MaxProperties = maxProperties; + this.Format = format; + this.Default = @default; + this.PropertyOrdering = propertyOrdering; + this.Description = description; this.MinProperties = minProperties; - this.Nullable = nullable; + this.Pattern = pattern; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs index 1bf661d7f..5b7ed61e6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SearchTypes { - /// - /// Standard web search for grounding and related configurations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("webSearch")] - public global::Google.Gemini.WebSearch? WebSearch { get; set; } - /// /// Image search for grounding and related configurations. /// [global::System.Text.Json.Serialization.JsonPropertyName("imageSearch")] public global::Google.Gemini.ImageSearch? ImageSearch { get; set; } + /// + /// Standard web search for grounding and related configurations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("webSearch")] + public global::Google.Gemini.WebSearch? WebSearch { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SearchTypes /// /// Initializes a new instance of the class. /// - /// - /// Standard web search for grounding and related configurations. - /// /// /// Image search for grounding and related configurations. /// + /// + /// Standard web search for grounding and related configurations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SearchTypes( - global::Google.Gemini.WebSearch? webSearch, - global::Google.Gemini.ImageSearch? imageSearch) + global::Google.Gemini.ImageSearch? imageSearch, + global::Google.Gemini.WebSearch? webSearch) { - this.WebSearch = webSearch; this.ImageSearch = imageSearch; + this.WebSearch = webSearch; } /// 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 f1ef065a1..370880fa8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SpeakerVoiceConfig { - /// - /// Required. The name of the speaker to use. Should be the same as in the prompt. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("speaker")] - public string? Speaker { get; set; } - /// /// The configuration for the voice to use. /// [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } + /// + /// Required. The name of the speaker to use. Should be the same as in the prompt. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("speaker")] + public string? Speaker { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SpeakerVoiceConfig /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the speaker to use. Should be the same as in the prompt. - /// /// /// The configuration for the voice to use. /// + /// + /// Required. The name of the speaker to use. Should be the same as in the prompt. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeakerVoiceConfig( - string? speaker, - global::Google.Gemini.VoiceConfig? voiceConfig) + global::Google.Gemini.VoiceConfig? voiceConfig, + string? speaker) { - this.Speaker = speaker; this.VoiceConfig = voiceConfig; + this.Speaker = speaker; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs index 3c8418594..bef80e26e 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class SpeechConfig { - /// - /// The configuration for the multi-speaker setup. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] - public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } - /// /// The configuration for the voice to use. /// @@ -26,6 +20,12 @@ public sealed partial class SpeechConfig [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] public string? LanguageCode { get; set; } + /// + /// The configuration for the multi-speaker setup. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] + public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class SpeechConfig /// /// Initializes a new instance of the class. /// - /// - /// The configuration for the multi-speaker setup. - /// /// /// The configuration for the voice to use. /// /// /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// + /// + /// The configuration for the multi-speaker setup. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( - global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, global::Google.Gemini.VoiceConfig? voiceConfig, - string? languageCode) + string? languageCode, + global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig) { - this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; this.VoiceConfig = voiceConfig; this.LanguageCode = languageCode; + this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs index 08b874895..7afcb1083 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class Status { + /// + /// A list of messages that carry the error details. There is a common set of message types for APIs to use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("details")] + public global::System.Collections.Generic.IList? Details { get; set; } + /// /// The status code, which should be an enum value of google.rpc.Code. /// @@ -20,12 +26,6 @@ public sealed partial class Status [global::System.Text.Json.Serialization.JsonPropertyName("message")] public string? Message { get; set; } - /// - /// A list of messages that carry the error details. There is a common set of message types for APIs to use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("details")] - public global::System.Collections.Generic.IList? Details { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class Status /// /// Initializes a new instance of the class. /// + /// + /// A list of messages that carry the error details. There is a common set of message types for APIs to use. + /// /// /// The status code, which should be an enum value of google.rpc.Code. /// /// /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// - /// - /// A list of messages that carry the error details. There is a common set of message types for APIs to use. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Status( + global::System.Collections.Generic.IList? details, int? code, - string? message, - global::System.Collections.Generic.IList? details) + string? message) { + this.Details = details; this.Code = code; this.Message = message; - this.Details = details; } /// 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 bb5c3a015..64b6dbf3d 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 @@ -14,18 +14,18 @@ public sealed partial class StreamableHttpTransport [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. /// [global::System.Text.Json.Serialization.JsonPropertyName("headers")] public global::System.Collections.Generic.Dictionary? Headers { get; set; } + /// + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("url")] + public string? Url { get; set; } + /// /// HTTP timeout for regular operations. /// @@ -33,10 +33,10 @@ public sealed partial class StreamableHttpTransport public string? Timeout { get; set; } /// - /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// Whether to close the client session when the transport closes. /// - [global::System.Text.Json.Serialization.JsonPropertyName("url")] - public string? Url { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] + public bool? TerminateOnClose { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -50,33 +50,33 @@ public sealed partial class StreamableHttpTransport /// /// Timeout for SSE read operations. /// - /// - /// Whether to close the client session when the transport closes. - /// /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// + /// + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// /// /// HTTP timeout for regular operations. /// - /// - /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// + /// Whether to close the client session when the transport closes. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( string? sseReadTimeout, - bool? terminateOnClose, global::System.Collections.Generic.Dictionary? headers, + string? url, string? timeout, - string? url) + bool? terminateOnClose) { this.SseReadTimeout = sseReadTimeout; - this.TerminateOnClose = terminateOnClose; this.Headers = headers; - this.Timeout = timeout; this.Url = url; + this.Timeout = timeout; + this.TerminateOnClose = terminateOnClose; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs index b3cdd8f30..0f2df624d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs @@ -14,12 +14,6 @@ public sealed partial class ThinkingConfig [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] public int? ThinkingBudget { get; set; } - /// - /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] - public bool? IncludeThoughts { get; set; } - /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error. /// @@ -27,6 +21,12 @@ public sealed partial class ThinkingConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter))] public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } + /// + /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] + public bool? IncludeThoughts { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,23 +39,23 @@ public sealed partial class ThinkingConfig /// /// The number of thoughts tokens that the model should generate. /// - /// - /// 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. /// + /// + /// 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( int? thinkingBudget, - bool? includeThoughts, - global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel) + global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel, + bool? includeThoughts) { this.ThinkingBudget = thinkingBudget; - this.IncludeThoughts = includeThoughts; this.ThinkingLevel = thinkingLevel; + 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 f13924b7e..426344862 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 +9,16 @@ namespace Google.Gemini public sealed partial class Tool { /// - /// Optional. MCP Servers to connect to. + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// - [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] - public global::System.Collections.Generic.IList? McpServers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] + public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// Tool to support URL context retrieval. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] - public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] + public global::Google.Gemini.UrlContext? UrlContext { get; set; } /// /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. @@ -27,22 +27,10 @@ public sealed partial class Tool public global::Google.Gemini.GoogleSearch? GoogleSearch { 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; } - - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] - public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } - - /// - /// Tool to support URL context retrieval. + /// Optional. MCP Servers to connect to. /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] - public global::Google.Gemini.UrlContext? UrlContext { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] + public global::System.Collections.Generic.IList? McpServers { get; set; } /// /// Tool to retrieve public web data for grounding, powered by Google. @@ -56,12 +44,24 @@ public sealed partial class Tool [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] public global::Google.Gemini.FileSearch? FileSearch { 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; } + /// /// 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -71,56 +71,56 @@ public sealed partial class Tool /// /// Initializes a new instance of the class. /// - /// - /// Optional. MCP Servers to connect to. - /// - /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. - /// - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// - /// - /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. - /// /// /// The GoogleMaps Tool that provides geospatial context for the user's query. /// /// /// Tool to support URL context retrieval. /// + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + /// + /// Optional. MCP Servers to connect to. + /// /// /// Tool to retrieve public web data for grounding, powered by Google. /// /// /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// + /// + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// /// /// Computer Use tool type. /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( - global::System.Collections.Generic.IList? mcpServers, - global::Google.Gemini.CodeExecution? codeExecution, - global::Google.Gemini.GoogleSearch? googleSearch, - global::System.Collections.Generic.IList? functionDeclarations, global::Google.Gemini.GoogleMaps? googleMaps, global::Google.Gemini.UrlContext? urlContext, + global::Google.Gemini.GoogleSearch? googleSearch, + global::System.Collections.Generic.IList? mcpServers, global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, global::Google.Gemini.FileSearch? fileSearch, - global::Google.Gemini.ComputerUse? computerUse) + global::Google.Gemini.CodeExecution? codeExecution, + global::Google.Gemini.ComputerUse? computerUse, + global::System.Collections.Generic.IList? functionDeclarations) { - this.McpServers = mcpServers; - this.CodeExecution = codeExecution; - this.GoogleSearch = googleSearch; - this.FunctionDeclarations = functionDeclarations; this.GoogleMaps = googleMaps; this.UrlContext = urlContext; + this.GoogleSearch = googleSearch; + this.McpServers = mcpServers; this.GoogleSearchRetrieval = googleSearchRetrieval; this.FileSearch = fileSearch; + this.CodeExecution = codeExecution; this.ComputerUse = computerUse; + this.FunctionDeclarations = functionDeclarations; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs index 3a67d3caa..066ff4f1b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class ToolConfig { /// - /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. + /// Retrieval config. /// - [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] - public bool? IncludeServerSideToolInvocations { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] + public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } /// /// Configuration for specifying function calling behavior. @@ -21,10 +21,10 @@ public sealed partial class ToolConfig public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } /// - /// Retrieval config. + /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] - public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] + public bool? IncludeServerSideToolInvocations { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class ToolConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. + /// + /// Retrieval config. /// /// /// Configuration for specifying function calling behavior. /// - /// - /// Retrieval config. + /// + /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( - bool? includeServerSideToolInvocations, + global::Google.Gemini.RetrievalConfig? retrievalConfig, global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, - global::Google.Gemini.RetrievalConfig? retrievalConfig) + bool? includeServerSideToolInvocations) { - this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; - this.FunctionCallingConfig = functionCallingConfig; this.RetrievalConfig = retrievalConfig; + this.FunctionCallingConfig = functionCallingConfig; + this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; } /// 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 632d1182a..c037ce802 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 @@ -9,41 +9,44 @@ namespace Google.Gemini public sealed partial class TunedModel { /// - /// Optional. A short description of this model. + /// Tuned model as a source for training a new model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] + public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// Output only. The state of the tuned model.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] + public global::Google.Gemini.TunedModelState? State { get; set; } /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// Output only. The timestamp when this model was created.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// 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("baseModel")] - public string? BaseModel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// Optional. 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("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// /// Tuning tasks that create tuned models. @@ -52,44 +55,41 @@ public sealed partial class TunedModel public global::Google.Gemini.TuningTask? TuningTask { get; set; } /// - /// Output only. The timestamp when this model was updated.
+ /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Optional. List of project numbers that have read access to the tuned model. + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] - public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] + public string? BaseModel { get; set; } /// - /// Output only. The state of the tuned model.
- /// Included only in responses + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - [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("displayName")] + public string? DisplayName { get; set; } /// - /// Tuned model as a source for training a new model. + /// Optional. A short description of this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] - public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// 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("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Output only. The timestamp when this model was created.
- /// Included only in responses + /// Optional. List of project numbers that have read access to the tuned model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] + public global::System.Collections.Generic.IList? ReaderProjectNumbers { 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. /// - /// - /// Optional. A short description of this model. + /// + /// Tuned model as a source for training a new model. /// - /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// + /// Output only. The 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Output only. The timestamp when this model was created.
+ /// Included only in responses /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// 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. + /// + /// 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. /// /// /// Tuning tasks that create tuned models. /// - /// - /// Output only. The timestamp when this model was updated.
+ /// + /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
/// Included only in responses /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Output only. The state of the tuned model.
- /// Included only in responses + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Tuned model as a source for training a new model. + /// + /// 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. /// - /// - /// Output only. The timestamp when this model was created.
- /// Included only in responses + /// + /// Optional. List of project numbers that have read access to the tuned model. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( - string? description, - string? name, + global::Google.Gemini.TunedModelSource? tunedModelSource, + global::Google.Gemini.TunedModelState? state, + string? updateTime, + string? createTime, + int? topK, float? topP, - string? displayName, + global::Google.Gemini.TuningTask? tuningTask, + string? name, string? baseModel, + string? displayName, + string? description, float? temperature, - global::Google.Gemini.TuningTask? tuningTask, - string? updateTime, - global::System.Collections.Generic.IList? readerProjectNumbers, - global::Google.Gemini.TunedModelState? state, - global::Google.Gemini.TunedModelSource? tunedModelSource, - int? topK, - string? createTime) + global::System.Collections.Generic.IList? readerProjectNumbers) { - this.Description = description; - this.Name = name; + this.TunedModelSource = tunedModelSource; + this.State = state; + this.UpdateTime = updateTime; + this.CreateTime = createTime; + this.TopK = topK; this.TopP = topP; - this.DisplayName = displayName; + this.TuningTask = tuningTask; + this.Name = name; this.BaseModel = baseModel; + this.DisplayName = displayName; + this.Description = description; this.Temperature = temperature; - this.TuningTask = tuningTask; - this.UpdateTime = updateTime; this.ReaderProjectNumbers = readerProjectNumbers; - this.State = state; - this.TunedModelSource = tunedModelSource; - this.TopK = topK; - this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs index 2e6194855..821e30332 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class TuningSnapshot { /// - /// Output only. The tuning step.
+ /// Output only. The epoch this step was part of.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("step")] - public int? Step { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] + public int? Epoch { get; set; } /// /// Output only. The mean loss of the training examples for this step.
@@ -23,18 +23,18 @@ public sealed partial class TuningSnapshot public float? MeanLoss { get; set; } /// - /// Output only. The timestamp when this metric was computed.
+ /// Output only. The tuning step.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] - public string? ComputeTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("step")] + public int? Step { get; set; } /// - /// Output only. The epoch this step was part of.
+ /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] - public int? Epoch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] + public string? ComputeTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,35 +45,35 @@ public sealed partial class TuningSnapshot /// /// Initializes a new instance of the class. /// - /// - /// Output only. The tuning step.
+ /// + /// Output only. The epoch this step was part of.
/// Included only in responses /// /// /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// - /// - /// Output only. The timestamp when this metric was computed.
+ /// + /// Output only. The tuning step.
/// Included only in responses /// - /// - /// Output only. The epoch this step was part of.
+ /// + /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( - int? step, + int? epoch, float? meanLoss, - string? computeTime, - int? epoch) + int? step, + string? computeTime) { - this.Step = step; + this.Epoch = epoch; this.MeanLoss = meanLoss; + this.Step = step; this.ComputeTime = computeTime; - this.Epoch = epoch; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs index 44d31d11f..4066a5e4f 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 @@ -15,6 +15,13 @@ public sealed partial class TuningTask [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] public string? CompleteTime { get; set; } + /// + /// Output only. The timestamp when tuning this model started.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] + public string? StartTime { get; set; } + /// /// Dataset for training or validation. /// @@ -27,13 +34,6 @@ public sealed partial class TuningTask [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } - /// - /// Output only. The timestamp when tuning this model started.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] - public string? StartTime { get; set; } - /// /// Output only. Metrics collected during tuning.
/// Included only in responses @@ -54,16 +54,16 @@ public sealed partial class TuningTask /// Output only. The timestamp when tuning this model completed.
/// Included only in responses /// + /// + /// Output only. The timestamp when tuning this model started.
+ /// Included only in responses + /// /// /// Dataset for training or validation. /// /// /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance /// - /// - /// Output only. The timestamp when tuning this model started.
- /// Included only in responses - /// /// /// Output only. Metrics collected during tuning.
/// Included only in responses @@ -73,15 +73,15 @@ public sealed partial class TuningTask #endif public TuningTask( string? completeTime, + string? startTime, global::Google.Gemini.Dataset? trainingData, global::Google.Gemini.Hyperparameters? hyperparameters, - string? startTime, global::System.Collections.Generic.IList? snapshots) { this.CompleteTime = completeTime; + this.StartTime = startTime; this.TrainingData = trainingData; this.Hyperparameters = hyperparameters; - this.StartTime = startTime; this.Snapshots = snapshots; } 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 860307d00..9d29ed3d3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class UploadToFileSearchStoreRequest { - /// - /// Optional. Display name of the created document. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - /// /// Custom metadata to be associated with the data. /// [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + /// + /// Optional. Display name of the created document. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -41,12 +41,12 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. Display name of the created document. - /// /// /// Custom metadata to be associated with the data. /// + /// + /// Optional. Display name of the created document. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -57,13 +57,13 @@ public sealed partial class UploadToFileSearchStoreRequest [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UploadToFileSearchStoreRequest( - string? displayName, global::System.Collections.Generic.IList? customMetadata, + string? displayName, global::Google.Gemini.ChunkingConfig? chunkingConfig, string? mimeType) { - this.DisplayName = displayName; this.CustomMetadata = customMetadata; + this.DisplayName = displayName; this.ChunkingConfig = chunkingConfig; 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 225dd0795..2c1f6fda9 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class UsageMetadata { - /// - /// Total number of tokens across all the generated response candidates. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } - /// /// Number of tokens in the cached part of the prompt (the cached content) /// @@ -27,12 +21,6 @@ public sealed partial class UsageMetadata [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. List of modalities that were processed for tool-use request inputs.
/// Included only in responses @@ -40,6 +28,12 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } + /// + /// Total number of tokens across all the generated response candidates. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { get; set; } + /// /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses @@ -47,12 +41,6 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] public int? ToolUsePromptTokenCount { get; set; } - /// - /// Total token count for the generation request (prompt + response candidates). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] - public int? TotalTokenCount { get; set; } - /// /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses @@ -61,11 +49,10 @@ public sealed partial class UsageMetadata public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } /// - /// Output only. List of modalities that were returned in the response.
- /// Included only in responses + /// Total token count for the generation request (prompt + response candidates). /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] - public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] + public int? TotalTokenCount { get; set; } /// /// Output only. Number of tokens of thoughts for thinking models.
@@ -74,6 +61,19 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] public int? ThoughtsTokenCount { get; set; } + /// + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } + + /// + /// Output only. List of modalities that were returned in the response.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] + public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } + /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
/// Included only in responses @@ -97,9 +97,6 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Total number of tokens across all the generated response candidates. - /// /// /// Number of tokens in the cached part of the prompt (the cached content) /// @@ -107,32 +104,35 @@ public sealed partial class UsageMetadata /// 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. List of modalities that were processed for tool-use request inputs.
/// Included only in responses /// + /// + /// Total number of tokens across all the generated response candidates. + /// /// /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses /// - /// - /// Total token count for the generation request (prompt + response candidates). - /// /// /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses /// - /// - /// Output only. List of modalities that were returned in the response.
- /// Included only in responses + /// + /// Total token count for the generation request (prompt + response candidates). /// /// /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// + /// + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// + /// + /// Output only. List of modalities that were returned in the response.
+ /// Included only in responses + /// /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
/// Included only in responses @@ -145,29 +145,29 @@ public sealed partial class UsageMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UsageMetadata( - int? candidatesTokenCount, int? cachedContentTokenCount, global::System.Collections.Generic.IList? promptTokensDetails, - int? promptTokenCount, global::System.Collections.Generic.IList? toolUsePromptTokensDetails, + int? candidatesTokenCount, int? toolUsePromptTokenCount, - int? totalTokenCount, global::System.Collections.Generic.IList? cacheTokensDetails, - global::System.Collections.Generic.IList? candidatesTokensDetails, + int? totalTokenCount, int? thoughtsTokenCount, + int? promptTokenCount, + global::System.Collections.Generic.IList? candidatesTokensDetails, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { - this.CandidatesTokenCount = candidatesTokenCount; this.CachedContentTokenCount = cachedContentTokenCount; this.PromptTokensDetails = promptTokensDetails; - this.PromptTokenCount = promptTokenCount; this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; + this.CandidatesTokenCount = candidatesTokenCount; this.ToolUsePromptTokenCount = toolUsePromptTokenCount; - this.TotalTokenCount = totalTokenCount; this.CacheTokensDetails = cacheTokensDetails; - this.CandidatesTokensDetails = candidatesTokensDetails; + this.TotalTokenCount = totalTokenCount; this.ThoughtsTokenCount = thoughtsTokenCount; + this.PromptTokenCount = promptTokenCount; + this.CandidatesTokensDetails = candidatesTokensDetails; this.ResponseTokenCount = responseTokenCount; this.ResponseTokensDetails = responseTokensDetails; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs index 3719af7e4..96e74ccb5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs @@ -10,11 +10,11 @@ namespace Google.Gemini public sealed partial class VideoMetadata { /// - /// Optional. The start offset of the video. + /// Optional. The end offset of the video. /// - [global::System.Text.Json.Serialization.JsonPropertyName("startOffset")] + [global::System.Text.Json.Serialization.JsonPropertyName("endOffset")] [global::System.Obsolete("This property marked as deprecated.")] - public string? StartOffset { get; set; } + public string? EndOffset { get; set; } /// /// Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. @@ -24,11 +24,11 @@ public sealed partial class VideoMetadata public double? Fps { get; set; } /// - /// Optional. The end offset of the video. + /// Optional. The start offset of the video. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endOffset")] + [global::System.Text.Json.Serialization.JsonPropertyName("startOffset")] [global::System.Obsolete("This property marked as deprecated.")] - public string? EndOffset { get; set; } + public string? StartOffset { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -39,26 +39,26 @@ public sealed partial class VideoMetadata /// /// Initializes a new instance of the class. /// - /// - /// Optional. The start offset of the video. + /// + /// Optional. The end offset of the video. /// /// /// Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. /// - /// - /// Optional. The end offset of the video. + /// + /// Optional. The start offset of the video. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public VideoMetadata( - string? startOffset, + string? endOffset, double? fps, - string? endOffset) + string? startOffset) { - this.StartOffset = startOffset; - this.Fps = fps; this.EndOffset = endOffset; + this.Fps = fps; + this.StartOffset = startOffset; } /// diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index 3aef69085..6983ea1df 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,50 +11,64 @@ } ], "paths": { - "/cachedContents": { - "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/tunedModels": { "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", + "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", + "operationId": "tunedModels.create", + "parameters": [ + { + "name": "tunedModelId", + "in": "query", + "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", + "schema": { + "type": "string" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/TunedModel" } } } @@ -65,27 +79,40 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Operation" } } } } } - } - }, - "/cachedContents/{cachedContentsId}": { - "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", + }, + "get": { + "description": "Lists created tuned models.", + "operationId": "tunedModels.list", "parameters": [ { - "name": "cachedContentsId", - "in": "path", - "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "name": "filter", + "in": "query", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" + "type": "string" + } + }, + { + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "schema": { + "type": "string" } } ], @@ -95,34 +122,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } } } - }, - "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", + } + }, + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { - "name": "cachedContentsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "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": "^tunedModels/[^/]+$" } } ], @@ -130,7 +150,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -141,25 +161,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/tunedModels/{tunedModelsId}": { "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.get", + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", "parameters": [ { - "name": "cachedContentsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -169,23 +191,42 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/TunedModel" } } } } } - } - }, - "/files": { - "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", + }, + "patch": { + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileRequest" + "$ref": "#/components/schemas/TunedModel" } } } @@ -196,32 +237,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/TunedModel" } } } } } }, - "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + "delete": { + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], @@ -231,7 +265,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFilesResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -239,19 +273,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "/tunedModels/{tunedModelsId}:streamGenerateContent": { "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "tunedModels.streamGenerateContent", "parameters": [ { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -259,7 +293,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -270,7 +304,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -278,19 +317,19 @@ } } }, - "/dynamic/{dynamicId}:generateContent": { + "/tunedModels/{tunedModelsId}:transferOwnership": { "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "dynamic.generateContent", + "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", + "operationId": "tunedModels.transferOwnership", "parameters": [ { - "name": "dynamicId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -298,7 +337,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/TransferOwnershipRequest" } } } @@ -309,7 +348,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } @@ -317,19 +356,19 @@ } } }, - "/dynamic/{dynamicId}:streamGenerateContent": { + "/tunedModels/{tunedModelsId}:generateContent": { "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "dynamic.streamGenerateContent", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { - "name": "dynamicId", + "name": "tunedModelsId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -350,26 +389,33 @@ "schema": { "$ref": "#/components/schemas/GenerateContentResponse" } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } } } } } } }, - "/corpora": { + "/tunedModels/{tunedModelsId}/permissions": { "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", + "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/Corpus" + "$ref": "#/components/schemas/Permission" } } } @@ -380,7 +426,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/Permission" } } } @@ -388,13 +434,13 @@ } }, "get": { - "description": "Lists all `Corpora` owned by the user.", - "operationId": "corpora.list", + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -403,10 +449,20 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } + }, + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } } ], "responses": { @@ -415,7 +471,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCorporaResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -423,37 +479,55 @@ } } }, - "/corpora/{corporaId}": { - "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.delete", + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", + "name": "tunedModelsId", + "in": "path", + "required": true, "schema": { - "type": "boolean" + "type": "string" } }, { - "name": "corporaId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "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/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Permission" } } } @@ -461,17 +535,25 @@ } }, "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", "parameters": [ { - "name": "corporaId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -481,21 +563,19 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/corpora/{corporaId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "corpora.operations.get", + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -503,13 +583,13 @@ } }, { - "name": "corporaId", + "name": "permissionsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -519,7 +599,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -527,27 +607,52 @@ } } }, - "/corpora/{corporaId}/permissions/{permissionsId}": { + "/tunedModels/{tunedModelsId}/operations": { "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.permissions.get", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "tunedModels.operations.list", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, + "name": "filter", + "in": "query", + "description": "The standard list filter.", "schema": { "type": "string" } }, { - "name": "corporaId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation's parent resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^tunedModels/[^/]+$" + } + }, + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } ], @@ -557,19 +662,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListOperationsResponse" } } } } } - }, - "patch": { - "description": "Updates the permission.", - "operationId": "corpora.permissions.patch", + } + }, + "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "tunedModels.operations.get", "parameters": [ { - "name": "permissionsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -577,53 +684,74 @@ } }, { - "name": "corporaId", + "name": "operationsId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + } + }, + "/generatedFiles": { + "get": { + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", + "schema": { + "type": "integer", + "format": "int32" } }, { - "name": "updateMask", + "name": "pageToken", "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", "schema": { - "type": "string", - "format": "google-fieldmask" + "type": "string" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListGeneratedFilesResponse" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", + } + }, + "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "generatedFiles.operations.get", "parameters": [ { - "name": "permissionsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -631,13 +759,13 @@ } }, { - "name": "corporaId", + "name": "generatedFilesId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" } } ], @@ -647,7 +775,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -655,27 +783,15 @@ } } }, - "/corpora/{corporaId}/permissions": { + "/corpora": { "post": { - "description": "Create a permission to a specific resource.", - "operationId": "corpora.permissions.create", - "parameters": [ - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" - } - } - ], + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Corpus" } } } @@ -686,7 +802,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Corpus" } } } @@ -694,13 +810,13 @@ } }, "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "corpora.permissions.list", + "description": "Lists all `Corpora` owned by the user.", + "operationId": "corpora.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.", + "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", "schema": { "type": "integer", "format": "int32" @@ -709,16 +825,36 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", "schema": { "type": "string" } - }, + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListCorporaResponse" + } + } + } + } + } + } + }, + "/corpora/{corporaId}": { + "get": { + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", + "parameters": [ { "name": "corporaId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", "pattern": "^corpora/[^/]+$" @@ -731,51 +867,43 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Corpus" } } } } } - } - }, - "/models/{modelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", + }, + "delete": { + "description": "Deletes a `Corpus`.", + "operationId": "corpora.delete", "parameters": [ { - "name": "modelsId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -783,58 +911,64 @@ } } }, - "/models/{modelsId}:embedContent": { - "post": { - "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", - "operationId": "models.embedContent", + "/corpora/{corporaId}/permissions": { + "get": { + "description": "Lists permissions for the specific resource.", + "operationId": "corpora.permissions.list", "parameters": [ { - "name": "modelsId", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The 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 parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } } } - } - }, - "/models/{modelsId}:countTokens": { + }, "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", + "description": "Create a permission to a specific resource.", + "operationId": "corpora.permissions.create", "parameters": [ { - "name": "modelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -842,7 +976,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -853,7 +987,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/Permission" } } } @@ -861,19 +995,36 @@ } } }, - "/models/{modelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "models.generateContent", + "/corpora/{corporaId}/permissions/{permissionsId}": { + "patch": { + "description": "Updates the permission.", + "operationId": "corpora.permissions.patch", "parameters": [ { - "name": "modelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -881,7 +1032,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -892,34 +1043,33 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/models": { + }, "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + "description": "Gets information about a specific Permission.", + "operationId": "corpora.permissions.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "name": "permissionsId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", - "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { - "type": "string" + "type": "string", + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -929,46 +1079,43 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/models/{modelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "corpora.permissions.delete", "parameters": [ { - "name": "modelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -976,27 +1123,53 @@ } } }, - "/models/{modelsId}:batchEmbedContents": { - "post": { - "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", - "operationId": "models.batchEmbedContents", + "/corpora/{corporaId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "corpora.operations.get", "parameters": [ { - "name": "modelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + } + }, + "/fileSearchStores": { + "post": { + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -1007,46 +1180,42 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/FileSearchStore" } } } } } - } - }, - "/models/{modelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + }, + "get": { + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { - "type": "string", - "pattern": "^models/[^/]+$" + "type": "integer", + "format": "int32" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "schema": { + "type": "string" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" } } } @@ -1054,19 +1223,19 @@ } } }, - "/models/{modelsId}": { + "/fileSearchStores/{fileSearchStoresId}": { "get": { - "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", - "operationId": "models.get", + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "modelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -1076,60 +1245,33 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/FileSearchStore" } } } } } - } - }, - "/models/{modelsId}/operations": { - "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "models.operations.list", + }, + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "filter", + "name": "force", "in": "query", - "description": "The standard list filter.", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", "schema": { - "type": "string" + "type": "boolean" } }, { - "name": "modelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation's parent resource.", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", - "schema": { - "type": "string" - } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -1139,7 +1281,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -1147,30 +1289,31 @@ } } }, - "/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", + "/fileSearchStores/{fileSearchStoresId}:importFile": { + "post": { + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "modelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ImportFileRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", @@ -1185,26 +1328,27 @@ } } }, - "/generatedFiles": { + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.list", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", + "name": "operationsId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { - "type": "string" + "type": "string", + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], @@ -1214,7 +1358,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1222,10 +1366,10 @@ } } }, - "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { + "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "generatedFiles.operations.get", + "operationId": "fileSearchStores.operations.get", "parameters": [ { "name": "operationsId", @@ -1236,13 +1380,13 @@ } }, { - "name": "generatedFilesId", + "name": "fileSearchStoresId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], @@ -1260,89 +1404,71 @@ } } }, - "/fileSearchStores": { - "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/FileSearchStore" - } + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { + "get": { + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", + "parameters": [ + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Document" } } } } } }, - "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + "delete": { + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.delete", "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.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "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, "schema": { "type": "string" } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" - } - } - } - } - } - } - }, - "/fileSearchStores/{fileSearchStoresId}": { - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", - "parameters": [ + }, { "name": "force", "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", "schema": { "type": "boolean" } }, { - "name": "fileSearchStoresId", + "name": "documentsId", "in": "path", "required": true, - "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], @@ -1358,16 +1484,35 @@ } } } - }, + } + }, + "/fileSearchStores/{fileSearchStoresId}/documents": { "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", + "schema": { + "type": "string" + } + }, { "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", "pattern": "^fileSearchStores/[^/]+$" @@ -1380,7 +1525,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } @@ -1388,19 +1533,19 @@ } } }, - "/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/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1408,7 +1553,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ImportFileRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1419,7 +1564,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1427,81 +1572,77 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { - "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.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": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "documentsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Required. The 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/[^/]+/documents/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchEmbedContentsRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } } } - }, - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", + } + }, + "/models/{modelsId}:countTokens": { + "post": { + "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", + "operationId": "models.countTokens", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "documentsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CountTokensRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/CountTokensResponse" } } } @@ -1509,15 +1650,15 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents": { + "/models": { "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. 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.", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -1526,20 +1667,10 @@ { "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.", + "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" } - }, - { - "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/[^/]+$" - } } ], "responses": { @@ -1548,7 +1679,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/ListModelsResponse" } } } @@ -1556,30 +1687,31 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", + "/models/{modelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "models.asyncBatchEmbedContent", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", @@ -1594,30 +1726,31 @@ } } }, - "/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}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "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 name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", @@ -1632,77 +1765,63 @@ } } }, - "/batches/{batchesId}:cancel": { + "/models/{modelsId}:streamGenerateContent": { "post": { - "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", - "operationId": "batches.cancel", + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "models.streamGenerateContent", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^models/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" } } } - } - } - }, - "/batches/{batchesId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "batches.get", - "parameters": [ - { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, - "delete": { - "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", - "operationId": "batches.delete", + } + }, + "/models/{modelsId}": { + "get": { + "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", + "operationId": "models.get", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource to be deleted.", + "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1712,7 +1831,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Model" } } } @@ -1720,28 +1839,19 @@ } } }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + "/models/{modelsId}:embedContent": { + "post": { + "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", + "operationId": "models.embedContent", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^models/[^/]+$" } } ], @@ -1749,7 +1859,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/EmbedContentRequest" } } } @@ -1760,7 +1870,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -1768,47 +1878,37 @@ } } }, - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + "/models/{modelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "models.operations.get", "parameters": [ { - "name": "batchesId", + "name": "operationsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "type": "string" } }, { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/Operation" } } } @@ -1816,10 +1916,10 @@ } } }, - "/batches": { + "/models/{modelsId}/operations": { "get": { "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "batches.list", + "operationId": "models.operations.list", "parameters": [ { "name": "filter", @@ -1829,6 +1929,16 @@ "type": "string" } }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + }, { "name": "pageSize", "in": "query", @@ -1869,27 +1979,15 @@ } } }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "/files:register": { "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], + "description": "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": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/RegisterFilesRequest" } } } @@ -1900,7 +1998,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/RegisterFilesResponse" } } } @@ -1908,19 +2006,19 @@ } } }, - "/tunedModels/{tunedModelsId}": { + "/files/{filesId}": { "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", + "description": "Gets the metadata for the given `File`.", + "operationId": "files.get", "parameters": [ { - "name": "tunedModelsId", + "name": "filesId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The name of the `File` to get. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^files/[^/]+$" } } ], @@ -1930,7 +2028,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/File" } } } @@ -1938,17 +2036,17 @@ } }, "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", + "description": "Deletes the `File`.", + "operationId": "files.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "filesId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^files/[^/]+$" } } ], @@ -1964,36 +2062,52 @@ } } } - }, - "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + } + }, + "/files": { + "get": { + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "integer", + "format": "int32" } }, { - "name": "updateMask", + "name": "pageToken", "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Optional. A page token from a previous `ListFiles` call.", "schema": { - "type": "string", - "format": "google-fieldmask" + "type": "string" } } ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListFilesResponse" + } + } + } + } + } + }, + "post": { + "description": "Creates a `File`.", + "operationId": "media.upload", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/CreateFileRequest" } } } @@ -2004,7 +2118,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/CreateFileResponse" } } } @@ -2012,15 +2126,15 @@ } } }, - "/tunedModels": { + "/batches": { "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "batches.list", "parameters": [ { "name": "filter", "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", + "description": "The standard list filter.", "schema": { "type": "string" } @@ -2028,7 +2142,7 @@ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -2037,10 +2151,18 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "description": "The standard list page token.", "schema": { "type": "string" } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" + } } ], "responses": { @@ -2049,23 +2171,36 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } } } - }, - "post": { - "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", - "operationId": "tunedModels.create", + } + }, + "/batches/{batchesId}:updateGenerateContentBatch": { + "patch": { + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", "parameters": [ { - "name": "tunedModelId", + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", "in": "query", - "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", + "description": "Optional. The list of fields to update.", "schema": { - "type": "string" + "type": "string", + "format": "google-fieldmask" } } ], @@ -2073,7 +2208,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -2084,7 +2219,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -2092,77 +2227,57 @@ } } }, - "/tunedModels/{tunedModelsId}:transferOwnership": { - "post": { - "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", - "operationId": "tunedModels.transferOwnership", + "/batches/{batchesId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "batches.get", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" + "$ref": "#/components/schemas/Operation" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + }, + "delete": { + "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", + "operationId": "batches.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "The name of the operation resource to be deleted.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -2170,38 +2285,29 @@ } } }, - "/tunedModels/{tunedModelsId}:generateContent": { + "/batches/{batchesId}:cancel": { "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "tunedModels.generateContent", + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -2209,19 +2315,28 @@ } } }, - "/tunedModels/{tunedModelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "tunedModels.streamGenerateContent", + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -2229,7 +2344,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -2240,12 +2355,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -2253,52 +2363,19 @@ } } }, - "/tunedModels/{tunedModelsId}/operations": { + "/cachedContents/{cachedContentsId}": { "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "tunedModels.operations.list", + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.get", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "tunedModelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "The name of the operation's parent resource.", + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", - "schema": { - "type": "string" - } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" + "pattern": "^cachedContents/[^/]+$" } } ], @@ -2308,35 +2385,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "tunedModels.operations.get", + }, + "delete": { + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "operationsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], @@ -2346,135 +2413,115 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + }, + "patch": { + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", "parameters": [ { - "name": "tunedModelsId", + "name": "cachedContentsId", "in": "path", "required": true, + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "schema": { - "type": "string" + "type": "string", + "pattern": "^cachedContents/[^/]+$" } }, { - "name": "permissionsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "name": "updateMask", + "in": "query", + "description": "The list of fields to update.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/CachedContent" } } } } } - }, - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + } + }, + "/cachedContents": { + "get": { + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", - "in": "path", - "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of 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": "^tunedModels/[^/]+/permissions/[^/]+$" + "type": "integer", + "format": "int32" } }, { - "name": "updateMask", + "name": "pageToken", "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", "schema": { - "type": "string", - "format": "google-fieldmask" + "type": "string" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListCachedContentsResponse" } } } } } }, - "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "post": { + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } } } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/CachedContent" } } } @@ -2482,19 +2529,19 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions": { + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -2502,7 +2549,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" } } } @@ -2513,68 +2560,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } } } - }, - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", + } + }, + "/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": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", - "schema": { - "type": "string" - } - }, - { - "name": "tunedModelsId", + "name": "dynamicId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" - } - } - } - } - } - } - }, - "/files:register": { - "post": { - "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", - "operationId": "files.register", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -2585,7 +2599,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesResponse" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -2593,57 +2612,38 @@ } } }, - "/files/{filesId}": { - "get": { - "description": "Gets the metadata for the given `File`.", - "operationId": "files.get", + "/dynamic/{dynamicId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "dynamic.generateContent", "parameters": [ { - "name": "filesId", + "name": "dynamicId", "in": "path", "required": true, - "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/File" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" } } } - } - }, - "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", - "parameters": [ - { - "name": "filesId", - "in": "path", - "required": true, - "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", - "schema": { - "type": "string", - "pattern": "^files/[^/]+$" - } - } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -2654,90 +2654,149 @@ }, "components": { "schemas": { - "ExecutableCode": { - "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", + "InlinedEmbedContentRequests": { "type": "object", "properties": { - "id": { - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", + "requests": { + "description": "Required. The requests to be processed in the batch.", + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentRequest" + }, + "type": "array" + } + }, + "description": "The requests to be processed in the batch if provided as part of the batch creation request." + }, + "RetrievedContext": { + "description": "Chunk from context retrieved by the file search tool.", + "type": "object", + "properties": { + "text": { + "description": "Optional. Text of the chunk.", "type": "string" }, - "language": { - "description": "Required. Programming language of the `code`.", - "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." - ], - "type": "string", - "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" - ] + "pageNumber": { + "type": "integer", + "format": "int32", + "description": "Optional. Page number of the retrieved context, if applicable." }, - "code": { - "description": "Required. The code to be executed.", + "title": { + "description": "Optional. Title of the document.", + "type": "string" + }, + "customMetadata": { + "type": "array", + "description": "Optional. User-provided metadata about the retrieved context.", + "items": { + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + } + }, + "mediaId": { + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", + "type": "string" + }, + "fileSearchStore": { + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", + "type": "string" + }, + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", "type": "string" } } }, - "ThinkingConfig": { - "description": "Config for thinking features.", - "type": "object", + "UsageMetadata": { "properties": { - "thinkingBudget": { + "cachedContentTokenCount": { "type": "integer", "format": "int32", - "description": "The number of thoughts tokens that the model should generate." - }, - "includeThoughts": { - "type": "boolean", - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available." + "description": "Number of tokens in the cached part of the prompt (the cached content)" }, - "thinkingLevel": { - "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", - "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." - ], - "type": "string", - "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" - ] - } - } - }, - "GroundingChunkCustomMetadata": { - "properties": { - "stringValue": { - "description": "Optional. The string value of the metadata.", - "type": "string" + "promptTokensDetails": { + "description": "Output only. List of modalities that were processed in the request input.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "readOnly": true, + "type": "array" }, - "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" + "toolUsePromptTokensDetails": { + "readOnly": true, + "type": "array", + "description": "Output only. List of modalities that were processed for tool-use request inputs.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } }, - "numericValue": { - "type": "number", - "format": "float", - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used." + "candidatesTokenCount": { + "type": "integer", + "format": "int32", + "description": "Total number of tokens across all the generated response candidates." }, - "key": { - "type": "string", - "description": "The key of the metadata." + "toolUsePromptTokenCount": { + "readOnly": true, + "type": "integer", + "format": "int32", + "description": "Output only. Number of tokens present in tool-use prompt(s)." + }, + "cacheTokensDetails": { + "description": "Output only. List of modalities of the cached content in the request input.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "readOnly": true, + "type": "array" + }, + "totalTokenCount": { + "type": "integer", + "format": "int32", + "description": "Total token count for the generation request (prompt + response candidates)." + }, + "thoughtsTokenCount": { + "readOnly": true, + "type": "integer", + "format": "int32", + "description": "Output only. Number of tokens of thoughts for thinking models." + }, + "promptTokenCount": { + "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", + "type": "integer", + "format": "int32" + }, + "candidatesTokensDetails": { + "description": "Output only. List of modalities that were returned in the response.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "readOnly": true, + "type": "array" + }, + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", + "readOnly": true + }, + "responseTokensDetails": { + "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } } }, "type": "object", - "description": "User provided metadata about the GroundingFact." + "description": "Metadata on the generation request's token usage." }, "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": { + "blocked": { + "description": "Was this content blocked because of this rating?", + "type": "boolean" + }, "category": { "enumDeprecated": [ false, @@ -2753,21 +2812,7 @@ false, true ], - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "description": "Required. The category for this rating.", + "type": "string", "x-enum-descriptions": [ "Category is unspecified.", "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", @@ -2782,14 +2827,25 @@ "**Gemini** - Dangerous content.", "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." ], - "type": "string" - }, - "blocked": { - "type": "boolean", - "description": "Was this content blocked because of this rating?" + "description": "Required. The category for this rating.", + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ] }, "probability": { "type": "string", + "description": "Required. The probability of harm for this content.", "enum": [ "HARM_PROBABILITY_UNSPECIFIED", "NEGLIGIBLE", @@ -2797,7 +2853,6 @@ "MEDIUM", "HIGH" ], - "description": "Required. The probability of harm for this content.", "x-enum-descriptions": [ "Probability is unspecified.", "Content has a negligible chance of being unsafe.", @@ -2806,1005 +2861,491 @@ "Content has a high chance of being unsafe." ] } - }, - "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." - }, - "InlinedResponses": { - "description": "The responses to the requests in the batch.", - "type": "object", - "properties": { - "inlinedResponses": { - "readOnly": true, - "items": { - "$ref": "#/components/schemas/InlinedResponse" - }, - "description": "Output only. The responses to the requests in the batch.", - "type": "array" - } } }, - "SearchTypes": { - "description": "Different types of search that can be enabled on the GoogleSearch tool.", - "properties": { - "webSearch": { - "description": "Optional. Enables web search. Only text results are returned.", - "$ref": "#/components/schemas/WebSearch" - }, - "imageSearch": { - "description": "Optional. Enables image search. Image bytes are returned.", - "$ref": "#/components/schemas/ImageSearch" - } - }, - "type": "object" - }, - "VideoFileMetadata": { - "type": "object", - "properties": { - "videoDuration": { - "type": "string", - "format": "google-duration", - "description": "Duration of the video." - } - }, - "description": "Metadata for a video `File`." - }, "DynamicRetrievalConfig": { - "type": "object", + "description": "Describes the options to customize dynamic retrieval.", "properties": { + "dynamicThreshold": { + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", + "type": "number", + "format": "float" + }, "mode": { "type": "string", + "description": "The mode of the predictor to be used in dynamic retrieval.", "enum": [ "MODE_UNSPECIFIED", "MODE_DYNAMIC" ], - "description": "The mode of the predictor to be used in dynamic retrieval.", "x-enum-descriptions": [ "Always trigger retrieval.", "Run retrieval only when system decides it is necessary." ] - }, - "dynamicThreshold": { - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "type": "number", - "format": "float" } }, - "description": "Describes the options to customize dynamic retrieval." + "type": "object" }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "UrlContext": { "type": "object", + "properties": {}, + "description": "Tool to support URL context retrieval." + }, + "CitationSource": { + "description": "A citation to a source for a portion of a specific response.", "properties": { - "confidenceScores": { - "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" - } + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", + "type": "string" }, - "renderedParts": { - "readOnly": true, - "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.", - "type": "array" + "startIndex": { + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", + "type": "integer", + "format": "int32" }, - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + "license": { + "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", + "type": "string" }, - "groundingChunkIndices": { - "type": "array", - "items": { - "type": "integer", - "format": "int32" - }, - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order)." + "endIndex": { + "type": "integer", + "format": "int32", + "description": "Optional. End of the attributed segment, exclusive." } }, - "description": "Grounding support." + "type": "object" }, - "InlinedEmbedContentRequest": { + "Operation": { + "description": "This resource represents a long-running operation that is the result of a network API call.", "type": "object", "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" + "error": { + "$ref": "#/components/schemas/Status", + "description": "The error result of the operation in case of failure or cancellation." + }, + "response": { + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "type": "object" + }, + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" + }, + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "type": "string" }, "metadata": { - "type": "object", - "description": "Optional. The metadata to be associated with the request.", + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", "additionalProperties": { - "description": "Properties of the object." - } - } - }, - "description": "The request to be processed in the batch." - }, - "GoogleSearchRetrieval": { - "type": "object", - "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" + "description": "Properties of the object. Contains field @type with type URL." + }, + "type": "object" } - }, - "description": "Tool to retrieve public web data for grounding, powered by Google." + } }, - "ModalityTokenCount": { + "GoogleAiGenerativelanguageV1betaSegment": { + "description": "Segment of the content.", "properties": { - "modality": { - "type": "string", - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ], - "description": "The modality associated with this token count.", - "x-enum-descriptions": [ - "Unspecified modality.", - "Plain text.", - "Image.", - "Video.", - "Audio.", - "Document, e.g. PDF." - ] + "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" }, - "tokenCount": { + "text": { + "description": "The text corresponding to the segment from the response.", + "type": "string" + }, + "startIndex": { "type": "integer", "format": "int32", - "description": "Number of tokens." + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero." + }, + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "type": "integer", + "format": "int32" } }, - "type": "object", - "description": "Represents token counting info for a single modality." - }, - "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." + "type": "object" }, - "RegisterFilesRequest": { - "description": "Request for `RegisterFiles`.", + "SearchTypes": { + "description": "Different types of search that can be enabled on the GoogleSearch tool.", "type": "object", "properties": { - "uris": { - "type": "array", - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", - "items": { - "type": "string" - } + "imageSearch": { + "description": "Optional. Enables image search. Image bytes are returned.", + "$ref": "#/components/schemas/ImageSearch" + }, + "webSearch": { + "description": "Optional. Enables web search. Only text results are returned.", + "$ref": "#/components/schemas/WebSearch" } } }, - "GroundingMetadata": { - "description": "Metadata returned to client when grounding is enabled.", + "WhiteSpaceConfig": { + "description": "Configuration for a white space chunking algorithm [white space delimited].", "type": "object", "properties": { - "webSearchQueries": { - "type": "array", - "description": "Web search queries for the following-up web search.", - "items": { - "type": "string" - } - }, - "imageSearchQueries": { - "items": { - "type": "string" - }, - "description": "Image search queries used for grounding.", - "type": "array" - }, - "groundingSupports": { - "type": "array", - "description": "List of grounding support.", - "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" - } - }, - "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" - }, - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" - }, - "groundingChunks": { - "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", - "items": { - "$ref": "#/components/schemas/GroundingChunk" - }, - "type": "array" + "maxTokensPerChunk": { + "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", + "type": "integer", + "format": "int32" }, - "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" + "maxOverlapTokens": { + "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "type": "integer", + "format": "int32" } } }, - "Part": { - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "TunedModelSource": { + "description": "Tuned model as a source for training a new model.", "type": "object", "properties": { - "text": { - "description": "Inline text.", + "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" }, - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" - }, - "toolResponse": { - "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", - "$ref": "#/components/schemas/ToolResponse" - }, - "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.", - "$ref": "#/components/schemas/FunctionResponse" - }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" - }, - "codeExecutionResult": { - "description": "Result of executing the `ExecutableCode`.", - "$ref": "#/components/schemas/CodeExecutionResult" - }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" - }, - "thought": { - "description": "Optional. Indicates if the part is thought from the model.", - "type": "boolean" - }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" - }, - "thoughtSignature": { - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "baseModel": { + "readOnly": true, "type": "string", - "format": "byte" - }, - "toolCall": { - "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", - "$ref": "#/components/schemas/ToolCall" - }, - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" - }, - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" - }, - "partMetadata": { - "type": "object", - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", - "additionalProperties": { - "description": "Properties of the object." - } + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`" } } }, - "SemanticRetrieverChunk": { - "type": "object", + "FunctionResponse": { "properties": { - "source": { - "readOnly": true, - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", - "type": "string" + "parts": { + "type": "array", + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", + "items": { + "$ref": "#/components/schemas/FunctionResponsePart" + } }, - "chunk": { - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", - "readOnly": true, + "id": { + "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", "type": "string" - } - }, - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`." - }, - "RetrievedContext": { - "properties": { - "pageNumber": { - "description": "Optional. Page number of the retrieved context, if applicable.", - "type": "integer", - "format": "int32" }, - "uri": { - "type": "string", - "description": "Optional. URI reference of the semantic retrieval document." - }, - "fileSearchStore": { - "type": "string", - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`" - }, - "customMetadata": { - "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + "response": { + "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model.", + "additionalProperties": { + "description": "Properties of the object." }, - "description": "Optional. User-provided metadata about the retrieved context.", - "type": "array" + "type": "object" }, - "title": { - "description": "Optional. Title of the document.", + "scheduling": { + "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." + ], + "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" }, - "text": { - "type": "string", - "description": "Optional. Text of the chunk." - }, - "mediaId": { - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", + "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" } }, "type": "object", - "description": "Chunk from context retrieved by the file search tool." + "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." }, - "GoogleAiGenerativelanguageV1betaSegment": { + "GoogleSearchRetrieval": { "properties": { - "partIndex": { - "description": "The index of a Part object within its parent Content object.", - "type": "integer", - "format": "int32" - }, - "startIndex": { - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", - "type": "integer", - "format": "int32" - }, - "text": { - "type": "string", - "description": "The text corresponding to the segment from the response." - }, - "endIndex": { - "type": "integer", - "format": "int32", - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero." + "dynamicRetrievalConfig": { + "description": "Specifies the dynamic retrieval configuration for the given source.", + "$ref": "#/components/schemas/DynamicRetrievalConfig" } }, "type": "object", - "description": "Segment of the content." - }, - "ListModelsResponse": { - "description": "Response from `ListModel` containing a paginated list of Models.", - "properties": { - "models": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Model" - }, - "description": "The returned Models." - }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." - } - }, - "type": "object" + "description": "Tool to retrieve public web data for grounding, powered by Google." }, - "AttributionSourceId": { - "description": "Identifier for the source contributing to this attribution.", + "RetrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", "type": "object", "properties": { - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" - }, - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" + "googleSearchDynamicRetrievalScore": { + "type": "number", + "format": "float", + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search." } } }, - "WebSearch": { - "properties": {}, - "type": "object", - "description": "Standard web search for grounding and related configurations." + "CachedContentUsageMetadata": { + "description": "Metadata on the usage of the cached content.", + "properties": { + "totalTokenCount": { + "description": "Total number of tokens that the cached content consumes.", + "type": "integer", + "format": "int32" + } + }, + "type": "object" }, - "CitationMetadata": { + "FunctionDeclaration": { "properties": { - "citationSources": { - "type": "array", - "description": "Citations to sources for a specific response.", - "items": { - "$ref": "#/components/schemas/CitationSource" - } + "responseJsonSchema": { + "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." + }, + "description": { + "description": "Required. A brief description of the function.", + "type": "string" + }, + "parametersJsonSchema": { + "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." + }, + "behavior": { + "x-enum-descriptions": [ + "This value is unused.", + "If set, the system will wait to receive the function response before continuing the conversation.", + "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." + ], + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", + "enum": [ + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" + ], + "type": "string" + }, + "response": { + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", + "$ref": "#/components/schemas/Schema" + }, + "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" + }, + "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" } }, "type": "object", - "description": "A collection of source attributions for a piece of content." + "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." }, - "ImageConfig": { - "description": "Config for image generation features.", + "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": { - "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.", + "category": { + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ], + "description": "Required. The category for this setting.", + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], + "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" }, - "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" + "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" + ] } } }, - "EmbeddingUsageMetadata": { + "LogprobsResultCandidate": { "type": "object", "properties": { - "promptTokenCount": { - "readOnly": true, - "description": "Output only. Number of tokens in the prompt.", + "tokenId": { + "description": "The candidate\u2019s token id value.", "type": "integer", "format": "int32" }, - "promptTokenDetails": { - "type": "array", - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "logProbability": { + "type": "number", + "format": "float", + "description": "The candidate's log probability." + }, + "token": { + "description": "The candidate\u2019s token string value.", + "type": "string" } }, - "description": "Metadata on the usage of the embedding request." + "description": "Candidate for the logprobs token and score." }, - "AsyncBatchEmbedContentRequest": { + "SearchEntryPoint": { + "description": "Google search entry point.", + "type": "object", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", + "type": "string" + }, + "sdkBlob": { + "type": "string", + "format": "byte", + "description": "Optional. Base64 encoded JSON representing array of tuple." } - }, - "type": "object", - "description": "Request for an `AsyncBatchEmbedContent` operation." + } }, - "CreateFileResponse": { - "description": "Response for `CreateFile`.", + "Web": { "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" + "uri": { + "readOnly": true, + "type": "string", + "description": "Output only. URI reference of the chunk." + }, + "title": { + "readOnly": true, + "type": "string", + "description": "Output only. Title of the chunk." } }, - "type": "object" + "type": "object", + "description": "Chunk from the web." }, - "CachedContentUsageMetadata": { + "CitationMetadata": { + "description": "A collection of source attributions for a piece of content.", "properties": { - "totalTokenCount": { - "description": "Total number of tokens that the cached content consumes.", - "type": "integer", - "format": "int32" + "citationSources": { + "type": "array", + "description": "Citations to sources for a specific response.", + "items": { + "$ref": "#/components/schemas/CitationSource" + } } }, - "type": "object", - "description": "Metadata on the usage of the cached content." + "type": "object" }, - "InlinedResponse": { + "SemanticRetrieverChunk": { + "type": "object", "properties": { - "response": { + "source": { "readOnly": true, - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/GenerateContentResponse" - }, - "error": { - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status", - "readOnly": true + "type": "string", + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`" }, - "metadata": { + "chunk": { "readOnly": true, - "description": "Output only. The metadata associated with the request.", - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" + "type": "string", + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`" } }, - "type": "object", - "description": "The response to a single request in the batch." + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`." }, - "File": { - "type": "object", + "Hyperparameters": { "properties": { - "mimeType": { - "type": "string", - "description": "Output only. MIME type of the file.", - "readOnly": true - }, - "createTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` was created.", - "readOnly": true - }, - "error": { - "readOnly": true, - "description": "Output only. Error status if File processing failed.", - "$ref": "#/components/schemas/Status" - }, - "uri": { - "description": "Output only. The uri of the `File`.", - "readOnly": true, - "type": "string" - }, - "state": { - "type": "string", - "readOnly": true, - "description": "Output only. Processing state of the File.", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "File is being processed and cannot be used for inference yet.", - "File is processed and available for inference.", - "File failed processing." - ], - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ] - }, - "updateTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` was last updated.", - "readOnly": true - }, - "videoMetadata": { - "readOnly": true, - "description": "Output only. Metadata for a video.", - "$ref": "#/components/schemas/VideoFileMetadata" - }, - "displayName": { - "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: \"Welcome Image\"", - "type": "string" - }, - "expirationTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", - "readOnly": true - }, - "source": { - "description": "Source of the File.", - "x-enum-descriptions": [ - "Used if source is not specified.", - "Indicates the file is uploaded by the user.", - "Indicates the file is generated by Google.", - "Indicates the file is a registered, i.e. a Google Cloud Storage file." - ], - "type": "string", - "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" - ] - }, - "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" - }, - "downloadUri": { - "type": "string", - "readOnly": true, - "description": "Output only. The download uri of the `File`." - }, - "sha256Hash": { - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "readOnly": true, - "type": "string", - "format": "byte" - }, - "sizeBytes": { - "type": "string", - "format": "int64", - "readOnly": true, - "description": "Output only. Size of the file in bytes." - } - }, - "description": "A file uploaded to the API. Next ID: 15" - }, - "TuningSnapshot": { - "type": "object", - "properties": { - "step": { - "readOnly": true, - "description": "Output only. The tuning step.", + "batchSize": { "type": "integer", - "format": "int32" - }, - "meanLoss": { - "readOnly": true, - "description": "Output only. The mean loss of the training examples for this step.", - "type": "number", - "format": "float" - }, - "computeTime": { - "readOnly": true, - "description": "Output only. The timestamp when this metric was computed.", - "type": "string", - "format": "google-datetime" + "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." }, - "epoch": { - "readOnly": true, - "description": "Output only. The epoch this step was part of.", + "epochCount": { "type": "integer", - "format": "int32" - } - }, - "description": "Record for a single tuning step." - }, - "FunctionDeclaration": { - "type": "object", - "properties": { - "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" - }, - "description": { - "description": "Required. A brief description of the function.", - "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.", - "x-enum-descriptions": [ - "This value is unused.", - "If set, the system will wait to receive the function response before continuing the conversation.", - "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." - ], - "type": "string", - "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.", - "$ref": "#/components/schemas/Schema" - }, - "parametersJsonSchema": { - "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." - } - }, - "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client." - }, - "GoogleSearch": { - "properties": { - "timeRangeFilter": { - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", - "$ref": "#/components/schemas/Interval" - }, - "searchTypes": { - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", - "$ref": "#/components/schemas/SearchTypes" - } - }, - "type": "object", - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." - }, - "ToolCall": { - "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", - "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.", - "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." - ] - }, - "args": { - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", - "additionalProperties": { - "description": "Properties of the 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`." - }, - "SearchEntryPoint": { - "description": "Google search entry point.", - "properties": { - "renderedContent": { - "type": "string", - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview." - }, - "sdkBlob": { - "type": "string", - "format": "byte", - "description": "Optional. Base64 encoded JSON representing array of tuple." - } - }, - "type": "object" - }, - "ToolResponse": { - "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", - "type": "object", - "properties": { - "id": { - "description": "Optional. The identifier of the tool call this response is for.", - "type": "string" - }, - "toolType": { - "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ], - "type": "string", - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ] - }, - "response": { - "type": "object", - "description": "Optional. The tool response.", - "additionalProperties": { - "description": "Properties of the object." - } - } - } - }, - "StreamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", - "properties": { - "sseReadTimeout": { - "description": "Timeout for SSE read operations.", - "type": "string", - "format": "google-duration" - }, - "terminateOnClose": { - "type": "boolean", - "description": "Whether to close the client session when the transport closes." - }, - "headers": { - "type": "object", - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "additionalProperties": { - "type": "string" - } - }, - "timeout": { - "description": "HTTP timeout for regular operations.", - "type": "string", - "format": "google-duration" - }, - "url": { - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", - "type": "string" - } - }, - "type": "object" - }, - "GenerateContentBatchOutput": { - "properties": { - "responsesFile": { - "type": "string", - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "readOnly": true - }, - "inlinedResponses": { - "readOnly": true, - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "$ref": "#/components/schemas/InlinedResponses" - } - }, - "type": "object", - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field." - }, - "TunedModelSource": { - "description": "Tuned model as a source for training a new model.", - "properties": { - "tunedModel": { - "type": "string", - "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`" - }, - "baseModel": { - "type": "string", - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", - "readOnly": true - } - }, - "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": { - "granteeType": { - "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" - ], - "type": "string", - "description": "Optional. Immutable. The type of the grantee.", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Represents a user. When set, you must provide email_address for the user.", - "Represents a group. When set, you must provide email_address for the group.", - "Represents access to everyone. No extra information is required." - ] - }, - "role": { - "description": "Required. The role granted by this permission.", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Owner can use, update, share and delete the resource.", - "Writer can use, update and share the resource.", - "Reader can use the resource." - ], - "type": "string", - "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" - ] - }, - "name": { - "type": "string", - "readOnly": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only." + "format": "int32", + "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used." }, - "emailAddress": { - "type": "string", - "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE." - } - } - }, - "RetrievalConfig": { - "type": "object", - "properties": { - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" + "learningRate": { + "type": "number", + "format": "float", + "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples." }, - "languageCode": { - "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", - "type": "string" + "learningRateMultiplier": { + "type": "number", + "format": "float", + "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used." } }, - "description": "Retrieval config." - }, - "ToolConfig": { "type": "object", - "properties": { - "includeServerSideToolInvocations": { - "type": "boolean", - "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions." - }, - "functionCallingConfig": { - "description": "Optional. Function calling config.", - "$ref": "#/components/schemas/FunctionCallingConfig" - }, - "retrievalConfig": { - "description": "Optional. Retrieval config.", - "$ref": "#/components/schemas/RetrievalConfig" - } - }, - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request." + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance" }, "GenerationConfig": { "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "properties": { - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." - }, - "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" - }, - "temperature": { - "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", - "type": "number", - "format": "float" - }, - "responseLogprobs": { - "type": "boolean", - "description": "Optional. If true, export the logprobs results in response." - }, - "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" - }, - "logprobs": { - "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", - "type": "integer", - "format": "int32" - }, "mediaResolution": { + "type": "string", "description": "Optional. If specified, the media resolution specified will be used.", - "x-enum-descriptions": [ - "Media resolution has not been set.", - "Media resolution set to low (64 tokens).", - "Media resolution set to medium (256 tokens).", - "Media resolution set to high (zoomed reframing with 256 tokens)." - ], "enum": [ "MEDIA_RESOLUTION_UNSPECIFIED", "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ], - "type": "string" - }, - "topK": { - "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "type": "integer", - "format": "int32" - }, - "candidateCount": { - "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", - "type": "integer", - "format": "int32" - }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" - }, - "responseMimeType": { - "type": "string", - "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types." - }, - "topP": { - "type": "number", - "format": "float", - "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests." - }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" + ], + "x-enum-descriptions": [ + "Media resolution has not been set.", + "Media resolution set to low (64 tokens).", + "Media resolution set to medium (256 tokens).", + "Media resolution set to high (zoomed reframing with 256 tokens)." + ] }, "responseModalities": { "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", "items": { + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ], "enum": [ "MODALITY_UNSPECIFIED", "TEXT", @@ -3812,25 +3353,44 @@ "AUDIO", "VIDEO" ], - "type": "string", - "x-enum-descriptions": [ - "Default value.", - "Indicates the model should return text.", - "Indicates the model should return images.", - "Indicates the model should return audio.", - "Indicates the model should return video." - ] + "type": "string" }, "type": "array" }, - "thinkingConfig": { - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", - "$ref": "#/components/schemas/ThinkingConfig" + "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" + }, + "responseLogprobs": { + "description": "Optional. If true, export the logprobs results in response.", + "type": "boolean" + }, + "imageConfig": { + "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", + "$ref": "#/components/schemas/ImageConfig" + }, + "candidateCount": { + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", + "type": "integer", + "format": "int32" }, "maxOutputTokens": { + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", "type": "integer", - "format": "int32", - "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function." + "format": "int32" + }, + "responseSchema": { + "$ref": "#/components/schemas/Schema", + "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details." + }, + "thinkingConfig": { + "$ref": "#/components/schemas/ThinkingConfig", + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking." + }, + "presencePenalty": { + "type": "number", + "format": "float", + "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary." }, "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.", @@ -3839,1104 +3399,1221 @@ }, "type": "array" }, + "temperature": { + "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", + "type": "number", + "format": "float" + }, "seed": { + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", "type": "integer", - "format": "int32", - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed." + "format": "int32" }, "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" }, - "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" - } - }, - "type": "object" - }, - "PrebuiltVoiceConfig": { - "properties": { - "voiceName": { - "type": "string", - "description": "The name of the preset voice to use." - } - }, - "type": "object", - "description": "The configuration for the prebuilt speaker to use." - }, - "FunctionResponse": { - "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", - "type": "object", - "properties": { - "scheduling": { - "enum": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" - ], - "type": "string", - "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", - "x-enum-descriptions": [ - "This value is unused.", - "Only add the result to the conversation context, do not interrupt or trigger generation.", - "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", - "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." - ] - }, - "parts": { - "items": { - "$ref": "#/components/schemas/FunctionResponsePart" - }, - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", - "type": "array" - }, - "willContinue": { - "type": "boolean", - "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`." - }, - "response": { - "type": "object", - "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model.", - "additionalProperties": { - "description": "Properties of the object." - } - }, - "id": { - "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", - "type": "string" - }, - "name": { - "type": "string", - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128." - } - } - }, - "SpeechConfig": { - "description": "Config for speech generation and transcription.", - "type": "object", - "properties": { - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", + "type": "boolean" }, - "voiceConfig": { - "description": "The configuration in case of single-voice output.", - "$ref": "#/components/schemas/VoiceConfig" + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." }, - "languageCode": { - "type": "string", - "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`." - } - } - }, - "InlinedRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", - "properties": { - "requests": { - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedRequest" - }, - "description": "Required. The requests to be processed in the batch." - } - }, - "type": "object" - }, - "CountTokensResponse": { - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", - "type": "object", - "properties": { - "totalTokens": { - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", + "topK": { + "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", "type": "integer", "format": "int32" }, - "promptTokensDetails": { - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array" - }, - "cacheTokensDetails": { - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the cached content.", - "type": "array" + "topP": { + "type": "number", + "format": "float", + "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests." }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content).", + "logprobs": { + "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", "type": "integer", "format": "int32" + }, + "speechConfig": { + "$ref": "#/components/schemas/SpeechConfig", + "description": "Optional. The speech generation config." } - } + }, + "type": "object" }, - "GenerateContentRequest": { - "description": "Request to generate a completion from the model.", + "CachedContent": { "properties": { - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" - }, "tools": { - "type": "array", + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", "items": { "$ref": "#/components/schemas/Tool" }, - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more." + "type": "array" + }, + "updateTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. When the cache entry was last updated in UTC time." }, "toolConfig": { - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", "$ref": "#/components/schemas/ToolConfig" }, + "createTime": { + "description": "Output only. Creation time of the cache entry.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "displayName": { + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "type": "string" + }, + "expireTime": { + "type": "string", + "format": "google-datetime", + "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input." + }, + "model": { + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", + "type": "string" + }, "contents": { - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", + "description": "Optional. Input only. Immutable. The content to cache.", "items": { "$ref": "#/components/schemas/Content" }, "type": "array" }, - "serviceTier": { + "name": { + "readOnly": true, "type": "string", - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ], - "description": "Optional. The service tier of the request.", - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ] - }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`" }, - "cachedContent": { + "ttl": { "type": "string", - "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`" + "format": "google-duration", + "description": "Input only. New TTL for this resource, input only." }, - "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.", + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", + "$ref": "#/components/schemas/Content" + }, + "usageMetadata": { + "description": "Output only. Metadata on the usage of the cached content.", + "$ref": "#/components/schemas/CachedContentUsageMetadata", + "readOnly": true + } + }, + "type": "object", + "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for." + }, + "ListPermissionsResponse": { + "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "properties": { + "permissions": { + "description": "Returned permissions.", "items": { - "$ref": "#/components/schemas/SafetySetting" + "$ref": "#/components/schemas/Permission" }, "type": "array" }, - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" - }, - "store": { - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", - "type": "boolean" + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } }, "type": "object" }, - "Operation": { - "description": "This resource represents a long-running operation that is the result of a network API call.", + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", "type": "object", "properties": { - "name": { - "type": "string", - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`." - }, - "metadata": { - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." + "speakerVoiceConfigs": { + "description": "Required. All the enabled speaker voices.", + "items": { + "$ref": "#/components/schemas/SpeakerVoiceConfig" }, - "type": "object" - }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" - }, - "response": { - "type": "object", - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - }, - "done": { - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", - "type": "boolean" + "type": "array" } } }, - "FunctionResponsePart": { - "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." - }, - "LogprobsResultCandidate": { - "description": "Candidate for the logprobs token and score.", - "properties": { - "token": { - "type": "string", - "description": "The candidate\u2019s token string value." - }, - "tokenId": { - "description": "The candidate\u2019s token id value.", - "type": "integer", - "format": "int32" - }, - "logProbability": { - "type": "number", - "format": "float", - "description": "The candidate's log probability." - } - }, - "type": "object" - }, - "UrlMetadata": { - "description": "Context of the a single url retrieval.", + "ModelStatus": { "type": "object", "properties": { - "retrievedUrl": { + "modelStage": { "type": "string", - "description": "Retrieved url by the tool." - }, - "urlRetrievalStatus": { - "description": "Status of the url retrieval.", + "description": "The stage of the underlying model.", + "enum": [ + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" + ], "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." + "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", - "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" + "enumDeprecated": [ + false, + true, + false, + false, + false, + false, + true, + false ] - } - } - }, - "TransferOwnershipRequest": { - "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + }, + "message": { + "description": "A message explaining the model status.", "type": "string" + }, + "retirementTime": { + "type": "string", + "format": "google-datetime", + "description": "The time at which the model will be retired." } }, - "type": "object", - "description": "Request to transfer the ownership of the tuned model." + "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable." }, - "Blob": { + "Interval": { "type": "object", "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", - "type": "string" + "startTime": { + "type": "string", + "format": "google-datetime", + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start." }, - "data": { - "description": "Raw bytes for media formats.", + "endTime": { + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", "type": "string", - "format": "byte" + "format": "google-datetime" } }, - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field." + "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." }, - "BatchStats": { - "type": "object", + "UrlContextMetadata": { "properties": { - "failedRequestCount": { - "type": "string", - "format": "int64", - "readOnly": true, - "description": "Output only. The number of requests that failed to be processed." - }, - "pendingRequestCount": { - "readOnly": true, - "description": "Output only. The number of requests that are still pending processing.", - "type": "string", - "format": "int64" - }, - "successfulRequestCount": { - "type": "string", - "format": "int64", - "description": "Output only. The number of requests that were successfully processed.", - "readOnly": true - }, - "requestCount": { - "type": "string", - "format": "int64", - "readOnly": true, - "description": "Output only. The number of requests in the batch." + "urlMetadata": { + "description": "List of url context.", + "items": { + "$ref": "#/components/schemas/UrlMetadata" + }, + "type": "array" } }, - "description": "Stats about the batch." + "type": "object", + "description": "Metadata related to url context retrieval tool." }, - "Candidate": { - "description": "A response candidate generated from the model.", + "Content": { + "type": "object", "properties": { - "tokenCount": { - "description": "Output only. Token count for this candidate.", - "readOnly": true, - "type": "integer", - "format": "int32" - }, - "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.", - "$ref": "#/components/schemas/CitationMetadata", - "readOnly": true - }, - "logprobsResult": { - "readOnly": true, - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", - "$ref": "#/components/schemas/LogprobsResult" - }, - "avgLogprobs": { - "readOnly": true, - "description": "Output only. Average log probability score of the candidate.", - "type": "number", - "format": "double" + "parts": { + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", + "items": { + "$ref": "#/components/schemas/Part" + }, + "type": "array" }, - "finishReason": { - "type": "string", - "readOnly": true, - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Natural stop point of the model or provided stop sequence.", - "The maximum number of tokens as specified in the request was reached.", - "The response candidate content was flagged for safety reasons.", - "The response candidate content was flagged for recitation reasons.", - "The response candidate content was flagged for using an unsupported language.", - "Unknown reason.", - "Token generation stopped because the content contains forbidden terms.", - "Token generation stopped for potentially containing prohibited content.", - "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", - "The function call generated by the model is invalid.", - "Token generation stopped because generated images contain safety violations.", - "Image generation stopped because generated images has other prohibited content.", - "Image generation stopped because of other miscellaneous issue.", - "The model was expected to generate an image, but none was generated.", - "Image generation stopped due to recitation.", - "Model generated a tool call but no tools were enabled in the request.", - "Model called too many tools consecutively, thus the system exited execution.", - "Request has at least one thought signature missing.", - "Finished due to malformed response." - ], - "enum": [ - "FINISH_REASON_UNSPECIFIED", - "STOP", - "MAX_TOKENS", - "SAFETY", - "RECITATION", - "LANGUAGE", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "SPII", - "MALFORMED_FUNCTION_CALL", - "IMAGE_SAFETY", - "IMAGE_PROHIBITED_CONTENT", - "IMAGE_OTHER", - "NO_IMAGE", - "IMAGE_RECITATION", - "UNEXPECTED_TOOL_CALL", - "TOO_MANY_TOOL_CALLS", - "MISSING_THOUGHT_SIGNATURE", - "MALFORMED_RESPONSE" - ] + "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" + } + }, + "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." + }, + "FileSearch": { + "properties": { + "fileSearchStoreNames": { + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", + "items": { + "type": "string" + }, + "type": "array" }, - "index": { + "topK": { "type": "integer", "format": "int32", - "description": "Output only. Index of the candidate in the list of response candidates.", - "readOnly": true - }, - "content": { - "readOnly": true, - "description": "Output only. Generated content returned from the model.", - "$ref": "#/components/schemas/Content" + "description": "Optional. The number of semantic retrieval chunks to retrieve." }, - "groundingMetadata": { + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "type": "string" + } + }, + "type": "object", + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API." + }, + "TuningSnapshot": { + "description": "Record for a single tuning step.", + "properties": { + "epoch": { + "description": "Output only. The epoch this step was part of.", "readOnly": true, - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", - "$ref": "#/components/schemas/GroundingMetadata" + "type": "integer", + "format": "int32" }, - "urlContextMetadata": { + "meanLoss": { "readOnly": true, - "description": "Output only. Metadata related to url context retrieval tool.", - "$ref": "#/components/schemas/UrlContextMetadata" + "type": "number", + "format": "float", + "description": "Output only. The mean loss of the training examples for this step." }, - "finishMessage": { - "type": "string", + "step": { "readOnly": true, - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set." + "type": "integer", + "format": "int32", + "description": "Output only. The tuning step." }, - "groundingAttributions": { + "computeTime": { "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when this metric was computed." + } + }, + "type": "object" + }, + "InlinedEmbedContentResponses": { + "properties": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch.", "items": { - "$ref": "#/components/schemas/GroundingAttribution" + "$ref": "#/components/schemas/InlinedEmbedContentResponse" }, - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", + "readOnly": true, "type": "array" + } + }, + "type": "object", + "description": "The responses to the requests in the batch." + }, + "ImportFileRequest": { + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", + "type": "object", + "properties": { + "chunkingConfig": { + "$ref": "#/components/schemas/ChunkingConfig", + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters." }, - "safetyRatings": { - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", + "customMetadata": { + "description": "Custom metadata to be associated with the file.", "items": { - "$ref": "#/components/schemas/SafetyRating" + "$ref": "#/components/schemas/CustomMetadata" }, "type": "array" + }, + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "type": "string" } - }, - "type": "object" + } }, - "GroundingChunkStringList": { + "TunedModel": { + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", + "type": "object", "properties": { - "values": { + "tunedModelSource": { + "$ref": "#/components/schemas/TunedModelSource", + "description": "Optional. TunedModel to use as the starting point for training the new model." + }, + "state": { + "x-enum-descriptions": [ + "The default value. This value is unused.", + "The model is being created.", + "The model is ready to be used.", + "The model failed to be created." + ], + "description": "Output only. The state of the tuned model.", + "enum": [ + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ], + "readOnly": true, + "type": "string" + }, + "updateTime": { + "description": "Output only. The timestamp when this model was updated.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "createTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when this model was created." + }, + "topK": { + "type": "integer", + "format": "int32", + "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model." + }, + "topP": { + "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", + "type": "number", + "format": "float" + }, + "tuningTask": { + "description": "Required. The tuning task that creates the tuned model.", + "$ref": "#/components/schemas/TuningTask" + }, + "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`" + }, + "baseModel": { + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "type": "string" + }, + "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" + }, + "description": { + "description": "Optional. A short description of this model.", + "type": "string" + }, + "temperature": { + "type": "number", + "format": "float", + "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model." + }, + "readerProjectNumbers": { + "description": "Optional. List of project numbers that have read access to the tuned model.", "items": { - "type": "string" + "type": "string", + "format": "int64" }, - "description": "The string values of the list.", "type": "array" } - }, + } + }, + "ImageSearch": { + "description": "Image search for grounding and related configurations.", "type": "object", - "description": "A list of string values." + "properties": {} }, - "InputConfig": { - "description": "Configures the input to the batch request.", + "TransferOwnershipResponse": { + "type": "object", + "properties": {}, + "description": "Response from `TransferOwnership`." + }, + "AttributionSourceId": { + "description": "Identifier for the source contributing to this attribution.", "type": "object", "properties": { - "fileName": { - "type": "string", - "description": "The name of the `File` containing the input requests." + "groundingPassage": { + "description": "Identifier for an inline passage.", + "$ref": "#/components/schemas/GroundingPassageId" }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedRequests" + "semanticRetrieverChunk": { + "$ref": "#/components/schemas/SemanticRetrieverChunk", + "description": "Identifier for a `Chunk` fetched via Semantic Retriever." } } }, - "TuningExamples": { + "CreateFileRequest": { + "description": "Request for `CreateFile`.", + "type": "object", "properties": { - "examples": { - "type": "array", - "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", - "items": { - "$ref": "#/components/schemas/TuningExample" - } + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" + } + } + }, + "CustomMetadata": { + "properties": { + "key": { + "description": "Required. The key of the metadata to store.", + "type": "string" + }, + "stringValue": { + "description": "The string value of the metadata to store.", + "type": "string" + }, + "stringListValue": { + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" + }, + "numericValue": { + "type": "number", + "format": "float", + "description": "The numeric value of the metadata to store." } }, "type": "object", - "description": "A set of tuning examples. Can be training or validation data." + "description": "User provided metadata stored as key-value pairs." }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", + "Status": { + "type": "object", "properties": { - "values": { - "description": "The string values of the metadata to store.", + "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": "string" - }, - "type": "array" + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + } + }, + "code": { + "type": "integer", + "format": "int32", + "description": "The status code, which should be an enum value of google.rpc.Code." + }, + "message": { + "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", + "type": "string" } }, - "type": "object" + "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors)." }, - "ListDocumentsResponse": { - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "Maps": { + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", "properties": { - "documents": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Document" - }, - "description": "The returned `Document`s." + "uri": { + "description": "URI reference of the place.", + "type": "string" }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "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" + }, + "title": { + "description": "Title of the place.", + "type": "string" + }, + "text": { + "description": "Text description of the place answer.", + "type": "string" + }, + "placeAnswerSources": { + "$ref": "#/components/schemas/PlaceAnswerSources", + "description": "Sources that provide answers about the features of a given place in Google Maps." } }, "type": "object" }, - "BatchEmbedContentsResponse": { - "type": "object", + "FunctionResponsePart": { "properties": { - "embeddings": { - "type": "array", - "readOnly": true, - "items": { - "$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.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata", - "readOnly": true + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/FunctionResponseBlob" } }, - "description": "The response to a `BatchEmbedContentsRequest`." - }, - "ImageSearch": { - "description": "Image search for grounding and related configurations.", - "properties": {}, - "type": "object" - }, - "UrlContext": { - "properties": {}, "type": "object", - "description": "Tool to support URL context retrieval." + "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." }, - "EmbedContentConfig": { - "description": "Configurations for the EmbedContent request.", + "CodeExecutionResult": { + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", + "type": "object", "properties": { - "taskType": { + "outcome": { "type": "string", + "description": "Required. Outcome of the code execution.", "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" ], - "description": "Optional. The task type of the embedding.", "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." + "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." ] }, - "outputDimensionality": { - "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", - "type": "integer", - "format": "int32" + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "type": "string" }, - "title": { - "description": "Optional. The title for the text.", + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", "type": "string" + } + } + }, + "EmbedContentBatchStats": { + "description": "Stats about the batch.", + "type": "object", + "properties": { + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", + "readOnly": true, + "type": "string", + "format": "int64" }, - "documentOcr": { - "description": "Optional. Whether to enable OCR for document content.", - "type": "boolean" + "requestCount": { + "description": "Output only. The number of requests in the batch.", + "readOnly": true, + "type": "string", + "format": "int64" }, - "audioTrackExtraction": { - "type": "boolean", - "description": "Optional. Whether to extract audio from video content." + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", + "readOnly": true, + "type": "string", + "format": "int64" }, - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", - "type": "boolean" + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", + "readOnly": true, + "type": "string", + "format": "int64" } - }, - "type": "object" + } }, - "ListPermissionsResponse": { - "type": "object", + "GoogleSearch": { "properties": { - "permissions": { - "items": { - "$ref": "#/components/schemas/Permission" - }, - "description": "Returned permissions.", - "type": "array" + "timeRangeFilter": { + "$ref": "#/components/schemas/Interval", + "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa)." }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "searchTypes": { + "$ref": "#/components/schemas/SearchTypes", + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default." } }, - "description": "Response from `ListPermissions` containing a paginated list of permissions." + "type": "object", + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." }, - "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).", + "Corpus": { + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "type": "object", "properties": { - "code": { - "description": "The status code, which should be an enum value of google.rpc.Code.", - "type": "integer", - "format": "int32" + "createTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Corpus` was created." }, - "message": { + "name": { + "readOnly": true, "type": "string", - "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client." + "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`" }, - "details": { - "type": "array", - "items": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "type": "object" - }, - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use." + "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" + }, + "updateTime": { + "description": "Output only. The Timestamp of when the `Corpus` was last updated.", + "readOnly": true, + "type": "string", + "format": "google-datetime" } } }, - "Content": { + "BatchStats": { + "description": "Stats about the batch.", "properties": { - "parts": { - "items": { - "$ref": "#/components/schemas/Part" - }, - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", - "type": "array" + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", + "readOnly": true, + "type": "string", + "format": "int64" }, - "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" + "requestCount": { + "description": "Output only. The number of requests in the batch.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", + "readOnly": true, + "type": "string", + "format": "int64" } }, - "type": "object", - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn." + "type": "object" }, - "UsageMetadata": { - "description": "Metadata on the generation request's token usage.", + "Model": { + "description": "Information about a Generative Language Model.", "type": "object", "properties": { - "candidatesTokenCount": { - "type": "integer", - "format": "int32", - "description": "Total number of tokens across all the generated response candidates." - }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content)", + "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" }, - "promptTokensDetails": { - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the request input." - }, - "promptTokenCount": { - "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", - "type": "integer", - "format": "int32" + "thinking": { + "description": "Whether the model supports thinking.", + "type": "boolean" }, - "toolUsePromptTokensDetails": { - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed for tool-use request inputs." + "topP": { + "type": "number", + "format": "float", + "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model." }, - "toolUsePromptTokenCount": { - "type": "integer", - "format": "int32", - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "readOnly": true + "name": { + "description": "Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * \"{base_model_id}-{version}\" Examples: * `models/gemini-1.5-flash-001`", + "type": "string" }, - "totalTokenCount": { - "description": "Total token count for the generation request (prompt + response candidates).", - "type": "integer", - "format": "int32" + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "type": "string" }, - "cacheTokensDetails": { - "readOnly": true, + "supportedGenerationMethods": { + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "string" }, - "description": "Output only. List of modalities of the cached content in the request input.", "type": "array" }, - "candidatesTokensDetails": { - "type": "array", - "description": "Output only. List of modalities that were returned in the response.", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "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" + }, + "description": { + "description": "A short description of the model.", + "type": "string" + }, + "temperature": { + "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", + "type": "number", + "format": "float" }, - "thoughtsTokenCount": { - "description": "Output only. Number of tokens of thoughts for thinking models.", - "readOnly": true, + "maxTemperature": { + "type": "number", + "format": "float", + "description": "The maximum temperature this model can use." + }, + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "type": "string" + }, + "inputTokenLimit": { + "description": "Maximum number of input tokens allowed for this model.", "type": "integer", "format": "int32" }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "outputTokenLimit": { + "description": "Maximum number of output tokens available for this model.", "type": "integer", - "format": "int32", - "readOnly": true - }, - "responseTokensDetails": { - "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "format": "int32" } } }, - "ListCorporaResponse": { - "properties": { - "corpora": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Corpus" - }, - "description": "The returned corpora." - }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." - } - }, + "TuningExample": { + "description": "A single example for tuning.", "type": "object", - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`." - }, - "CustomMetadata": { "properties": { - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" - }, - "numericValue": { - "description": "The numeric value of the metadata to store.", - "type": "number", - "format": "float" - }, - "key": { - "description": "Required. The key of the metadata to store.", + "textInput": { + "description": "Optional. Text model input.", "type": "string" }, - "stringValue": { - "description": "The string value of the metadata to store.", + "output": { + "description": "Required. The expected model output.", "type": "string" } - }, - "type": "object", - "description": "User provided metadata stored as key-value pairs." + } }, "GroundingAttribution": { - "description": "Attribution for a source that contributed to an answer.", + "type": "object", "properties": { "sourceId": { - "description": "Output only. Identifier for the source contributing to this attribution.", "$ref": "#/components/schemas/AttributionSourceId", + "description": "Output only. Identifier for the source contributing to this attribution.", "readOnly": true }, "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" + "$ref": "#/components/schemas/Content", + "description": "Grounding source content that makes up this attribution." } }, - "type": "object" + "description": "Attribution for a source that contributed to an answer." }, - "WhiteSpaceConfig": { + "InlinedRequests": { "type": "object", "properties": { - "maxTokensPerChunk": { - "type": "integer", - "format": "int32", - "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow." - }, - "maxOverlapTokens": { - "type": "integer", - "format": "int32", - "description": "Maximum number of overlapping tokens between two adjacent chunks." + "requests": { + "type": "array", + "description": "Required. The requests to be processed in the batch.", + "items": { + "$ref": "#/components/schemas/InlinedRequest" + } } }, - "description": "Configuration for a white space chunking algorithm [white space delimited]." + "description": "The requests to be processed in the batch if provided as part of the batch creation request." }, - "InlinedEmbedContentResponses": { + "CreateFileResponse": { + "description": "Response for `CreateFile`.", "type": "object", "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", - "readOnly": true, + "file": { + "$ref": "#/components/schemas/File", + "description": "Metadata for the created file." + } + } + }, + "ListModelsResponse": { + "description": "Response from `ListModel` containing a paginated list of Models.", + "type": "object", + "properties": { + "models": { + "type": "array", + "description": "The returned Models.", "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" - }, - "type": "array" + "$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" + } + } + }, + "SpeakerVoiceConfig": { + "type": "object", + "properties": { + "voiceConfig": { + "$ref": "#/components/schemas/VoiceConfig", + "description": "Required. The configuration for the voice to use." + }, + "speaker": { + "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", + "type": "string" } }, - "description": "The responses to the requests in the batch." + "description": "The configuration for a single speaker in a multi speaker setup." + }, + "Part": { + "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "properties": { + "thoughtSignature": { + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "type": "string", + "format": "byte" + }, + "functionResponse": { + "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", + "$ref": "#/components/schemas/FunctionResponse" + }, + "executableCode": { + "description": "Code generated by the model that is meant to be executed.", + "$ref": "#/components/schemas/ExecutableCode" + }, + "text": { + "description": "Inline text.", + "type": "string" + }, + "partMetadata": { + "type": "object", + "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", + "additionalProperties": { + "description": "Properties of the object." + } + }, + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" + }, + "toolCall": { + "$ref": "#/components/schemas/ToolCall", + "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API." + }, + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" + }, + "videoMetadata": { + "$ref": "#/components/schemas/VideoMetadata", + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data." + }, + "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`.", + "$ref": "#/components/schemas/ToolResponse" + }, + "functionCall": { + "$ref": "#/components/schemas/FunctionCall", + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values." + }, + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" + }, + "codeExecutionResult": { + "$ref": "#/components/schemas/CodeExecutionResult", + "description": "Result of executing the `ExecutableCode`." + }, + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" + } + }, + "type": "object" }, "Document": { + "description": "A `Document` is a collection of `Chunk`s.", + "type": "object", "properties": { + "createTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was created." + }, "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" }, - "displayName": { - "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", - "type": "string" - }, - "sizeBytes": { + "updateTime": { + "description": "Output only. The Timestamp of when the `Document` was last updated.", "readOnly": true, - "description": "Output only. The size of raw bytes ingested into the Document.", "type": "string", - "format": "int64" + "format": "google-datetime" }, "state": { - "type": "string", "readOnly": true, + "type": "string", "description": "Output only. Current state of the `Document`.", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", - "All `Chunks` of the `Document` is processed and available for querying.", - "Some `Chunks` of the `Document` failed processing." - ], "enum": [ "STATE_UNSPECIFIED", "STATE_PENDING", "STATE_ACTIVE", "STATE_FAILED" + ], + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", + "All `Chunks` of the `Document` is processed and available for querying.", + "Some `Chunks` of the `Document` failed processing." ] }, - "updateTime": { - "type": "string", - "format": "google-datetime", + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the Document.", "readOnly": true, - "description": "Output only. The Timestamp of when the `Document` was last updated." + "type": "string", + "format": "int64" }, "mimeType": { - "type": "string", "description": "Output only. The mime type of the Document.", - "readOnly": true + "readOnly": true, + "type": "string" + }, + "displayName": { + "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", + "type": "string" }, "customMetadata": { + "type": "array", "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", "items": { "$ref": "#/components/schemas/CustomMetadata" + } + } + } + }, + "CountTokensRequest": { + "properties": { + "contents": { + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", + "items": { + "$ref": "#/components/schemas/Content" }, "type": "array" }, - "createTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Document` was created.", - "readOnly": true + "generateContentRequest": { + "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", + "$ref": "#/components/schemas/GenerateContentRequest" + } + }, + "type": "object", + "description": "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`." + }, + "GoogleMaps": { + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", + "type": "object", + "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" + } + } + }, + "LatLng": { + "type": "object", + "properties": { + "latitude": { + "type": "number", + "format": "double", + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0]." + }, + "longitude": { + "type": "number", + "format": "double", + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0]." } }, - "type": "object", - "description": "A `Document` is a collection of `Chunk`s." + "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." }, - "SafetySetting": { + "VideoFileMetadata": { + "description": "Metadata for a video `File`.", "type": "object", "properties": { - "category": { + "videoDuration": { + "description": "Duration of the video.", "type": "string", - "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." - ], - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ] + "format": "google-duration" + } + } + }, + "StreamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "properties": { + "sseReadTimeout": { + "description": "Timeout for SSE read operations.", + "type": "string", + "format": "google-duration" }, - "threshold": { - "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" - ], + "headers": { + "type": "object", + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "additionalProperties": { + "type": "string" + } + }, + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "type": "string" + }, + "timeout": { "type": "string", - "description": "Required. Controls the probability threshold at which harm is blocked.", - "x-enum-descriptions": [ - "Threshold is unspecified.", - "Content with NEGLIGIBLE will be allowed.", - "Content with NEGLIGIBLE and LOW will be allowed.", - "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", - "All content will be allowed.", - "Turn off the safety filter." - ] + "format": "google-duration", + "description": "HTTP timeout for regular operations." + }, + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" } }, - "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" }, - "InputEmbedContentConfig": { - "type": "object", + "RetrievalConfig": { "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" + "latLng": { + "$ref": "#/components/schemas/LatLng", + "description": "Optional. The location of the user." }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" + "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": "Configures the input to the batch request." - }, - "FileSearchStore": { "type": "object", + "description": "Retrieval config." + }, + "Candidate": { "properties": { - "createTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "logprobsResult": { + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "$ref": "#/components/schemas/LogprobsResult", + "readOnly": true + }, + "urlContextMetadata": { + "description": "Output only. Metadata related to url context retrieval tool.", + "$ref": "#/components/schemas/UrlContextMetadata", + "readOnly": true + }, + "finishReason": { "readOnly": true, "type": "string", - "format": "google-datetime" + "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." + ], + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", + "enum": [ + "FINISH_REASON_UNSPECIFIED", + "STOP", + "MAX_TOKENS", + "SAFETY", + "RECITATION", + "LANGUAGE", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "SPII", + "MALFORMED_FUNCTION_CALL", + "IMAGE_SAFETY", + "IMAGE_PROHIBITED_CONTENT", + "IMAGE_OTHER", + "NO_IMAGE", + "IMAGE_RECITATION", + "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", + "MISSING_THOUGHT_SIGNATURE", + "MALFORMED_RESPONSE" + ] }, - "updateTime": { + "groundingAttributions": { + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", + "items": { + "$ref": "#/components/schemas/GroundingAttribution" + }, "readOnly": true, - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", - "type": "string", - "format": "google-datetime" + "type": "array" }, - "displayName": { - "type": "string", - "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"" + "safetyRatings": { + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", + "items": { + "$ref": "#/components/schemas/SafetyRating" + }, + "type": "array" }, - "activeDocumentsCount": { + "citationMetadata": { "readOnly": true, - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", - "type": "string", - "format": "int64" + "$ref": "#/components/schemas/CitationMetadata", + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data." }, - "sizeBytes": { - "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", + "tokenCount": { + "description": "Output only. Token count for this candidate.", "readOnly": true, - "type": "string", - "format": "int64" + "type": "integer", + "format": "int32" }, - "failedDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "avgLogprobs": { "readOnly": true, - "type": "string", - "format": "int64" + "type": "number", + "format": "double", + "description": "Output only. Average log probability score of the candidate." }, - "name": { - "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", + "content": { + "readOnly": true, + "$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, "type": "string" }, - "pendingDocumentsCount": { + "groundingMetadata": { + "$ref": "#/components/schemas/GroundingMetadata", + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "readOnly": true + }, + "index": { "readOnly": true, - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", - "type": "string", - "format": "int64" + "type": "integer", + "format": "int32", + "description": "Output only. Index of the candidate in the list of response candidates." } }, - "description": "A `FileSearchStore` is a collection of `Document`s." + "type": "object", + "description": "A response candidate generated from the model." }, - "ListGeneratedFilesResponse": { + "InlinedEmbedContentResponse": { + "description": "The response to a single request in the batch.", "properties": { - "generatedFiles": { - "items": { - "$ref": "#/components/schemas/GeneratedFile" - }, - "description": "The list of `GeneratedFile`s.", - "type": "array" + "error": { + "$ref": "#/components/schemas/Status", + "description": "Output only. The error encountered while processing the request.", + "readOnly": true }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", - "type": "string" + "response": { + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentResponse", + "description": "Output only. The response to the request." + }, + "metadata": { + "readOnly": true, + "type": "object", + "description": "Output only. The metadata associated with the request.", + "additionalProperties": { + "description": "Properties of the object." + } } }, - "type": "object", - "description": "Response for `ListGeneratedFiles`." + "type": "object" }, "GenerateContentBatch": { - "description": "A resource representing a batch of `GenerateContent` requests.", "type": "object", "properties": { - "batchStats": { - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/BatchStats", - "readOnly": true - }, - "output": { - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/GenerateContentBatchOutput", - "readOnly": true - }, "updateTime": { - "type": "string", - "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated.", "readOnly": true, - "description": "Output only. The time at which the batch was last updated." + "type": "string", + "format": "google-datetime" }, "priority": { "type": "string", "format": "int64", "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0." }, - "name": { - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "createTime": { "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch was created." + }, + "displayName": { + "description": "Required. The user-defined name of this batch.", "type": "string" }, - "createTime": { + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "inputConfig": { + "$ref": "#/components/schemas/InputConfig", + "description": "Required. Input configuration of the instances on which batch processing are performed." + }, + "name": { "readOnly": true, - "description": "Output only. The time at which the batch was created.", "type": "string", - "format": "google-datetime" + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." + }, + "output": { + "readOnly": true, + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/GenerateContentBatchOutput" }, "endTime": { "description": "Output only. The time at which the batch processing completed.", @@ -4944,22 +4621,14 @@ "type": "string", "format": "google-datetime" }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" + "batchStats": { + "$ref": "#/components/schemas/BatchStats", + "description": "Output only. Stats about the batch.", + "readOnly": true }, "state": { - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ], "readOnly": true, - "description": "Output only. The state of the batch.", + "type": "string", "x-enum-descriptions": [ "The batch state is unspecified.", "The service is preparing to run the batch.", @@ -4969,1701 +4638,2032 @@ "The batch has been cancelled.", "The batch has expired." ], - "type": "string" - }, - "displayName": { - "type": "string", - "description": "Required. The user-defined name of this batch." - }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" - } - } - }, - "ModelStatus": { - "properties": { - "message": { - "type": "string", - "description": "A message explaining the model status." - }, - "modelStage": { - "description": "The stage of the underlying model.", - "x-enum-descriptions": [ - "Unspecified model stage.", - "The underlying model is subject to lots of tunings.", - "Models in this stage are for experimental purposes only.", - "Models in this stage are more mature than experimental models.", - "Models in this stage are considered stable and ready for production use.", - "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", - "Models in this stage are deprecated. These models cannot be used.", - "Models in this stage are retired. These models cannot be used." - ], - "type": "string", - "enumDeprecated": [ - false, - true, - false, - false, - false, - false, - true, - false - ], + "description": "Output only. The state of the batch.", "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" ] - }, - "retirementTime": { - "type": "string", - "format": "google-datetime", - "description": "The time at which the model will be retired." } }, - "type": "object", - "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable." + "description": "A resource representing a batch of `GenerateContent` requests." }, - "Schema": { + "CustomLongRunningOperation": { + "type": "object", "properties": { - "default": { - "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." - }, - "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.", - "items": { - "type": "string" - }, - "type": "array" - }, - "format": { - "type": "string", - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality." - }, - "minLength": { - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", - "type": "string", - "format": "int64" - }, - "enum": { - "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", - "items": { - "type": "string" - }, - "type": "array" + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" }, - "properties": { + "response": { "type": "object", - "description": "Optional. Properties of Type.OBJECT.", + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", "additionalProperties": { - "$ref": "#/components/schemas/Schema" + "description": "Properties of the object. Contains field @type with type URL." } }, - "pattern": { - "type": "string", - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression." - }, - "minItems": { - "type": "string", - "format": "int64", - "description": "Optional. Minimum number of the elements for Type.ARRAY." + "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" }, - "maximum": { - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" + "metadata": { + "type": "object", + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } }, - "minimum": { - "type": "number", - "format": "double", - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER" + "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" + } + } + }, + "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." + }, + "ListCachedContentsResponse": { + "properties": { + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", + "type": "string" }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" + "cachedContents": { + "description": "List of cached contents.", + "items": { + "$ref": "#/components/schemas/CachedContent" + }, + "type": "array" + } + }, + "type": "object", + "description": "Response with CachedContents list." + }, + "FunctionResponseBlob": { + "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" }, - "maxProperties": { + "data": { "type": "string", - "format": "int64", - "description": "Optional. Maximum number of the properties for Type.OBJECT." + "format": "byte", + "description": "Raw bytes for media formats." + } + }, + "type": "object", + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field." + }, + "EmbedContentResponse": { + "properties": { + "embedding": { + "$ref": "#/components/schemas/ContentEmbedding", + "description": "Output only. The embedding generated from the input content.", + "readOnly": true }, - "required": { - "description": "Optional. Required properties of Type.OBJECT.", + "usageMetadata": { + "readOnly": true, + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata" + } + }, + "type": "object", + "description": "The response to an `EmbedContentRequest`." + }, + "GenerateContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", + "type": "object", + "properties": { + "responsesFile": { + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "readOnly": true, + "type": "string" + }, + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "$ref": "#/components/schemas/InlinedResponses", + "readOnly": true + } + } + }, + "RegisterFilesRequest": { + "description": "Request for `RegisterFiles`.", + "type": "object", + "properties": { + "uris": { + "type": "array", + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", "items": { "type": "string" - }, - "type": "array" + } + } + } + }, + "GroundingChunkCustomMetadata": { + "properties": { + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" }, - "maxLength": { - "type": "string", - "format": "int64", - "description": "Optional. Maximum length of the Type.STRING" + "numericValue": { + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "type": "number", + "format": "float" }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." + "stringValue": { + "description": "Optional. The string value of the metadata.", + "type": "string" }, - "anyOf": { - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "key": { + "description": "The key of the metadata.", + "type": "string" + } + }, + "type": "object", + "description": "User provided metadata about the GroundingFact." + }, + "ListDocumentsResponse": { + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "properties": { + "documents": { + "description": "The returned `Document`s.", "items": { - "$ref": "#/components/schemas/Schema" + "$ref": "#/components/schemas/Document" }, "type": "array" }, - "description": { - "type": "string", - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown." - }, - "maxItems": { - "type": "string", - "format": "int64", - "description": "Optional. Maximum number of the elements for Type.ARRAY." - }, - "type": { - "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" - ], - "type": "string", - "description": "Required. Data type.", - "x-enum-descriptions": [ - "Not specified, should not be used.", - "String type.", - "Number type.", - "Integer type.", - "Boolean type.", - "Array type.", - "Object type.", - "Null type." - ] - }, - "title": { - "description": "Optional. The title of the schema.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" - }, - "minProperties": { - "type": "string", - "format": "int64", - "description": "Optional. Minimum number of the properties for Type.OBJECT." - }, - "nullable": { - "description": "Optional. Indicates if the value may be null.", - "type": "boolean" } }, - "type": "object", - "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema)." + "type": "object" }, - "LogprobsResult": { - "description": "Logprobs Result", + "CountTokensResponse": { "type": "object", "properties": { - "logProbabilitySum": { - "description": "Sum of log probabilities for all tokens.", - "type": "number", - "format": "float" + "totalTokens": { + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", + "type": "integer", + "format": "int32" }, - "chosenCandidates": { + "cachedContentTokenCount": { + "type": "integer", + "format": "int32", + "description": "Number of tokens in the cached part of the prompt (the cached content)." + }, + "promptTokensDetails": { + "readOnly": true, "type": "array", - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", + "description": "Output only. List of modalities that were processed in the request input.", "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" + "$ref": "#/components/schemas/ModalityTokenCount" } }, - "topCandidates": { - "type": "array", + "cacheTokensDetails": { + "description": "Output only. List of modalities that were processed in the cached content.", "items": { - "$ref": "#/components/schemas/TopCandidates" + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "Length = total number of decoding steps." + "readOnly": true, + "type": "array" } - } + }, + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`." }, - "GroundingPassageId": { - "description": "Identifier for a part within a `GroundingPassage`.", + "Tool": { "properties": { - "passageId": { - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", - "readOnly": true, - "type": "string" + "googleMaps": { + "$ref": "#/components/schemas/GoogleMaps", + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query." }, - "partIndex": { - "type": "integer", - "format": "int32", - "readOnly": true, - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`." + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" + }, + "googleSearch": { + "$ref": "#/components/schemas/GoogleSearch", + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." + }, + "mcpServers": { + "description": "Optional. MCP Servers to connect to.", + "items": { + "$ref": "#/components/schemas/McpServer" + }, + "type": "array" + }, + "googleSearchRetrieval": { + "$ref": "#/components/schemas/GoogleSearchRetrieval", + "description": "Optional. Retrieval tool that is powered by Google search." + }, + "fileSearch": { + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", + "$ref": "#/components/schemas/FileSearch" + }, + "codeExecution": { + "description": "Optional. Enables the model to execute code as part of generation.", + "$ref": "#/components/schemas/CodeExecution" + }, + "computerUse": { + "$ref": "#/components/schemas/ComputerUse", + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations." + }, + "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.", + "items": { + "$ref": "#/components/schemas/FunctionDeclaration" + }, + "type": "array" + } + }, + "type": "object", + "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16" + }, + "GroundingChunkStringList": { + "description": "A list of string values.", + "properties": { + "values": { + "description": "The string values of the list.", + "items": { + "type": "string" + }, + "type": "array" } }, "type": "object" }, - "PlaceAnswerSources": { - "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", + "PromptFeedback": { + "type": "object", "properties": { - "reviewSnippets": { + "safetyRatings": { "type": "array", - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "description": "Ratings for safety of the prompt. There is at most one rating per category.", "items": { - "$ref": "#/components/schemas/ReviewSnippet" + "$ref": "#/components/schemas/SafetyRating" } + }, + "blockReason": { + "type": "string", + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "enum": [ + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ], + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", + "Prompt was blocked due to unknown reasons.", + "Prompt was blocked due to the terms which are included from the terminology blocklist.", + "Prompt was blocked due to prohibited content.", + "Candidates blocked due to unsafe image generation content." + ] } }, - "type": "object" + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`." }, - "FunctionResponseBlob": { - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "EmbedContentConfig": { + "description": "Configurations for the EmbedContent request.", + "type": "object", "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", - "type": "string" + "documentOcr": { + "description": "Optional. Whether to enable OCR for document content.", + "type": "boolean" }, - "data": { - "description": "Raw bytes for media formats.", + "taskType": { "type": "string", - "format": "byte" + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ], + "description": "Optional. The task type of the embedding.", + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ] + }, + "outputDimensionality": { + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", + "type": "integer", + "format": "int32" + }, + "audioTrackExtraction": { + "description": "Optional. Whether to extract audio from video content.", + "type": "boolean" + }, + "title": { + "description": "Optional. The title for the text.", + "type": "string" + }, + "autoTruncate": { + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", + "type": "boolean" } - }, - "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: 6", + "EmbedContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", "properties": { - "name": { + "responsesFile": { + "readOnly": true, "type": "string", - "description": "The name of the MCPServer." + "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." }, - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "$ref": "#/components/schemas/InlinedEmbedContentResponses", + "readOnly": true } }, "type": "object" }, - "UrlContextMetadata": { - "properties": { - "urlMetadata": { - "items": { - "$ref": "#/components/schemas/UrlMetadata" - }, - "description": "List of url context.", - "type": "array" - } - }, - "type": "object", - "description": "Metadata related to url context retrieval tool." - }, - "ContentEmbedding": { - "description": "A list of floats representing an embedding.", + "PrebuiltVoiceConfig": { + "description": "The configuration for the prebuilt speaker to use.", "type": "object", "properties": { - "values": { - "items": { - "type": "number", - "format": "float" - }, - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", - "type": "array" - }, - "shape": { - "type": "array", - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", - "items": { - "type": "integer", - "format": "int32" - } + "voiceName": { + "description": "The name of the preset voice to use.", + "type": "string" } } }, - "ListOperationsResponse": { - "description": "The response message for Operations.ListOperations.", + "EmbedContentBatch": { + "description": "A resource representing a batch of `EmbedContent` requests.", "properties": { - "nextPageToken": { + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "updateTime": { + "readOnly": true, "type": "string", - "description": "The standard List next-page token." + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated." }, - "unreachable": { - "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" - } + "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" }, - "operations": { - "type": "array", - "description": "A list of operations that matches the specified filter in the request.", - "items": { - "$ref": "#/components/schemas/Operation" - } + "createTime": { + "description": "Output only. The time at which the batch was created.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "state": { + "readOnly": true, + "type": "string", + "x-enum-descriptions": [ + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." + ], + "description": "Output only. The state of the batch.", + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ] + }, + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" + }, + "name": { + "readOnly": true, + "type": "string", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." + }, + "output": { + "$ref": "#/components/schemas/EmbedContentBatchOutput", + "description": "Output only. The output of the batch request.", + "readOnly": true + }, + "endTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch processing completed." + }, + "batchStats": { + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/EmbedContentBatchStats", + "readOnly": true } }, "type": "object" }, - "ListCachedContentsResponse": { + "ImageConfig": { "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", + "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" }, - "cachedContents": { - "type": "array", - "description": "List of cached contents.", - "items": { - "$ref": "#/components/schemas/CachedContent" - } + "imageSize": { + "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", + "type": "string" } }, "type": "object", - "description": "Response with CachedContents list." + "description": "Config for image generation features." }, - "EmbedContentBatchOutput": { + "GroundingChunk": { + "type": "object", "properties": { - "responsesFile": { - "type": "string", - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "readOnly": true + "image": { + "description": "Optional. Grounding chunk from image search.", + "$ref": "#/components/schemas/Image" }, - "inlinedResponses": { - "readOnly": true, - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "$ref": "#/components/schemas/InlinedEmbedContentResponses" + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" + }, + "maps": { + "$ref": "#/components/schemas/Maps", + "description": "Optional. Grounding chunk from Google Maps." + }, + "web": { + "$ref": "#/components/schemas/Web", + "description": "Grounding chunk from the web." } }, - "type": "object", - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field." + "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." }, - "VoiceConfig": { - "description": "The configuration for the voice to use.", + "TopCandidates": { + "description": "Candidates with top log probabilities at each decoding step.", + "type": "object", "properties": { - "prebuiltVoiceConfig": { - "description": "The configuration for the prebuilt voice to use.", - "$ref": "#/components/schemas/PrebuiltVoiceConfig" + "candidates": { + "description": "Sorted by log probability in descending order.", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + }, + "type": "array" } - }, - "type": "object" + } }, - "EmbedContentRequest": { - "description": "Request containing the `Content` for the model to embed.", + "Blob": { + "type": "object", "properties": { - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" - }, - "embedContentConfig": { - "description": "Optional. Configuration for the EmbedContent request.", - "$ref": "#/components/schemas/EmbedContentConfig" - }, - "title": { - "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", - "deprecated": true, + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", "type": "string" }, - "outputDimensionality": { - "deprecated": true, - "type": "integer", - "format": "int32", - "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`)." - }, - "model": { + "data": { + "description": "Raw bytes for media formats.", "type": "string", - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`" - }, - "taskType": { - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ], - "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", - "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." - ], - "deprecated": true, - "type": "string" + "format": "byte" } }, - "type": "object" + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field." }, - "Interval": { + "StringList": { "type": "object", "properties": { - "startTime": { - "type": "string", - "format": "google-datetime", - "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start." + "values": { + "description": "The string values of the metadata to store.", + "items": { + "type": "string" + }, + "type": "array" + } + }, + "description": "User provided string values assigned to a single metadata key." + }, + "GroundingPassageId": { + "description": "Identifier for a part within a `GroundingPassage`.", + "properties": { + "passageId": { + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", + "readOnly": true, + "type": "string" }, - "endTime": { - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", - "type": "string", - "format": "google-datetime" + "partIndex": { + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", + "readOnly": true, + "type": "integer", + "format": "int32" } }, - "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." - }, - "BatchGenerateContentRequest": { - "description": "Request for a `BatchGenerateContent` operation.", - "type": "object", - "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/GenerateContentBatch" - } - } + "type": "object" }, - "ListFilesResponse": { - "description": "Response for `ListFiles`.", + "RegisterFilesResponse": { "properties": { "files": { + "description": "The registered files to be used when calling GenerateContent.", "items": { "$ref": "#/components/schemas/File" }, - "description": "The list of `File`s.", "type": "array" - }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", - "type": "string" } }, - "type": "object" + "type": "object", + "description": "Response for `RegisterFiles`." }, - "Dataset": { + "VoiceConfig": { + "description": "The configuration for the voice to use.", + "type": "object", "properties": { - "examples": { - "description": "Optional. Inline examples with simple input/output text.", - "$ref": "#/components/schemas/TuningExamples" + "prebuiltVoiceConfig": { + "description": "The configuration for the prebuilt voice to use.", + "$ref": "#/components/schemas/PrebuiltVoiceConfig" + } + } + }, + "ContentEmbedding": { + "properties": { + "values": { + "type": "array", + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", + "items": { + "type": "number", + "format": "float" + } + }, + "shape": { + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", + "items": { + "type": "integer", + "format": "int32" + }, + "type": "array" } }, "type": "object", - "description": "Dataset for training or validation." + "description": "A list of floats representing an embedding." }, - "Corpus": { + "FunctionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", "properties": { - "displayName": { - "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "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" }, - "createTime": { - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "name": { - "type": "string", - "readOnly": true, - "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`" + "args": { + "type": "object", + "description": "Optional. The function parameters and values in JSON object format.", + "additionalProperties": { + "description": "Properties of the object." + } }, - "updateTime": { - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "readOnly": true, - "type": "string", - "format": "google-datetime" + "id": { + "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", + "type": "string" } }, + "type": "object" + }, + "WebSearch": { + "properties": {}, "type": "object", - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora." + "description": "Standard web search for grounding and related configurations." }, - "PromptFeedback": { + "ThinkingConfig": { + "description": "Config for thinking features.", "properties": { - "blockReason": { - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "thinkingBudget": { + "type": "integer", + "format": "int32", + "description": "The number of thoughts tokens that the model should generate." + }, + "thinkingLevel": { + "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." + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." ], - "type": "string", + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", "enum": [ - "BLOCK_REASON_UNSPECIFIED", - "SAFETY", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "IMAGE_SAFETY" + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" ] }, - "safetyRatings": { - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetyRating" - }, - "description": "Ratings for safety of the prompt. There is at most one rating per category." - } - }, - "type": "object", - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`." - }, - "TransferOwnershipResponse": { - "description": "Response from `TransferOwnership`.", - "type": "object", - "properties": {} - }, - "CreateFileRequest": { - "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" + "includeThoughts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", + "type": "boolean" } }, - "type": "object", - "description": "Request for `CreateFile`." + "type": "object" }, - "EmbedContentBatchStats": { - "description": "Stats about the batch.", - "type": "object", + "File": { + "description": "A file uploaded to the API. Next ID: 15", "properties": { - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", + "expirationTime": { + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", "readOnly": true, "type": "string", - "format": "int64" + "format": "google-datetime" }, - "requestCount": { + "uri": { "readOnly": true, - "description": "Output only. The number of requests in the batch.", "type": "string", - "format": "int64" + "description": "Output only. The uri of the `File`." }, - "failedRequestCount": { - "type": "string", - "format": "int64", - "description": "Output only. The number of requests that failed to be processed.", + "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" + }, + "error": { + "$ref": "#/components/schemas/Status", + "description": "Output only. Error status if File processing failed.", "readOnly": true }, - "pendingRequestCount": { + "name": { + "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", + "type": "string" + }, + "mimeType": { + "description": "Output only. MIME type of the file.", + "readOnly": true, + "type": "string" + }, + "source": { + "description": "Source of the File.", + "enum": [ + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" + ], + "x-enum-descriptions": [ + "Used if source is not specified.", + "Indicates the file is uploaded by the user.", + "Indicates the file is generated by Google.", + "Indicates the file is a registered, i.e. a Google Cloud Storage file." + ], + "type": "string" + }, + "updateTime": { + "description": "Output only. The timestamp of when the `File` was last updated.", + "readOnly": true, "type": "string", - "format": "int64", + "format": "google-datetime" + }, + "createTime": { + "description": "Output only. The timestamp of when the `File` was created.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "videoMetadata": { + "readOnly": true, + "description": "Output only. Metadata for a video.", + "$ref": "#/components/schemas/VideoFileMetadata" + }, + "downloadUri": { + "description": "Output only. The download uri of the `File`.", + "readOnly": true, + "type": "string" + }, + "sha256Hash": { + "description": "Output only. SHA-256 hash of the uploaded bytes.", + "readOnly": true, + "type": "string", + "format": "byte" + }, + "state": { + "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." + ], + "description": "Output only. Processing state of the File.", + "enum": [ + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" + ] + }, + "sizeBytes": { "readOnly": true, - "description": "Output only. The number of requests that are still pending processing." + "type": "string", + "format": "int64", + "description": "Output only. Size of the file in bytes." } - } + }, + "type": "object" }, - "ListTunedModelsResponse": { - "description": "Response from `ListTunedModels` containing a paginated list of Models.", + "Dataset": { + "description": "Dataset for training or validation.", "type": "object", "properties": { - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." - }, - "tunedModels": { - "description": "The returned Models.", - "items": { - "$ref": "#/components/schemas/TunedModel" - }, - "type": "array" + "examples": { + "$ref": "#/components/schemas/TuningExamples", + "description": "Optional. Inline examples with simple input/output text." } } }, - "FileData": { + "InputConfig": { "properties": { - "mimeType": { - "description": "Optional. The IANA standard MIME type of the source data.", + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" }, - "fileUri": { - "type": "string", - "description": "Required. URI." + "requests": { + "$ref": "#/components/schemas/InlinedRequests", + "description": "The requests to be processed in the batch." } }, "type": "object", - "description": "URI based data." + "description": "Configures the input to the batch request." }, - "TopCandidates": { - "description": "Candidates with top log probabilities at each decoding step.", + "BatchEmbedContentsResponse": { + "description": "The response to a `BatchEmbedContentsRequest`.", + "type": "object", "properties": { - "candidates": { + "embeddings": { + "readOnly": true, + "type": "array", + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - }, - "description": "Sorted by log probability in descending order.", - "type": "array" + "$ref": "#/components/schemas/ContentEmbedding" + } + }, + "usageMetadata": { + "readOnly": true, + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata" } - }, - "type": "object" + } }, - "CitationSource": { + "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": { - "startIndex": { - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", - "type": "integer", - "format": "int32" - }, - "endIndex": { - "type": "integer", - "format": "int32", - "description": "Optional. End of the attributed segment, exclusive." + "id": { + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", + "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.", + "language": { + "description": "Required. Programming language of the `code`.", + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ], + "x-enum-descriptions": [ + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." + ], "type": "string" }, - "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", + "code": { + "description": "Required. The code to be executed.", "type": "string" } - }, - "description": "A citation to a source for a portion of a specific response." + } }, - "ComputerUse": { - "description": "Computer Use tool type.", + "ListCorporaResponse": { + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", + "type": "object", "properties": { - "environment": { - "description": "Required. The environment being operated.", - "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser." - ], - "type": "string", - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER" - ] - }, - "excludedPredefinedFunctions": { - "type": "array", + "corpora": { + "description": "The returned corpora.", "items": { - "type": "string" + "$ref": "#/components/schemas/Corpus" }, - "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions." + "type": "array" + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } - }, - "type": "object" + } }, - "ReviewSnippet": { + "GroundingMetadata": { + "type": "object", "properties": { - "reviewId": { - "type": "string", - "description": "The ID of the review snippet." + "groundingChunks": { + "type": "array", + "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", + "items": { + "$ref": "#/components/schemas/GroundingChunk" + } }, - "googleMapsUri": { - "type": "string", - "description": "A link that corresponds to the user review on Google Maps." + "webSearchQueries": { + "description": "Web search queries for the following-up web search.", + "items": { + "type": "string" + }, + "type": "array" }, - "title": { - "type": "string", - "description": "Title of the review." + "searchEntryPoint": { + "description": "Optional. Google search entry for the following-up web searches.", + "$ref": "#/components/schemas/SearchEntryPoint" + }, + "groundingSupports": { + "type": "array", + "description": "List of grounding support.", + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + } + }, + "retrievalMetadata": { + "$ref": "#/components/schemas/RetrievalMetadata", + "description": "Metadata related to retrieval in the grounding flow." + }, + "imageSearchQueries": { + "description": "Image search queries used for grounding.", + "items": { + "type": "string" + }, + "type": "array" + }, + "googleMapsWidgetContextToken": { + "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", + "type": "string" } }, - "type": "object", - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps." + "description": "Metadata returned to client when grounding is enabled." }, - "GoogleMaps": { - "type": "object", + "ChunkingConfig": { + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", "properties": { - "enableWidget": { - "type": "boolean", - "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response." + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" } }, - "description": "The GoogleMaps Tool that provides geospatial context for the user's query." + "type": "object" }, - "EmbedContentResponse": { - "description": "The response to an `EmbedContentRequest`.", + "ListFileSearchStoresResponse": { + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "properties": { - "embedding": { - "description": "Output only. The embedding generated from the input content.", - "$ref": "#/components/schemas/ContentEmbedding", - "readOnly": true + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" }, - "usageMetadata": { - "readOnly": true, - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata" + "fileSearchStores": { + "type": "array", + "description": "The returned rag_stores.", + "items": { + "$ref": "#/components/schemas/FileSearchStore" + } } }, "type": "object" }, - "Web": { + "Schema": { + "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", "properties": { - "uri": { - "type": "string", - "readOnly": true, - "description": "Output only. URI reference of the chunk." + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" }, - "title": { - "type": "string", - "description": "Output only. Title of the chunk.", - "readOnly": true - } - }, - "type": "object", - "description": "Chunk from the web." - }, - "Model": { - "properties": { - "name": { - "type": "string", - "description": "Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * \"{base_model_id}-{version}\" Examples: * `models/gemini-1.5-flash-001`" + "properties": { + "description": "Optional. Properties of Type.OBJECT.", + "additionalProperties": { + "$ref": "#/components/schemas/Schema" + }, + "type": "object" }, - "version": { - "type": "string", - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)" + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." }, - "description": { + "minLength": { + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", "type": "string", - "description": "A short description of the model." + "format": "int64" }, - "maxTemperature": { + "anyOf": { + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "items": { + "$ref": "#/components/schemas/Schema" + }, + "type": "array" + }, + "enum": { + "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", + "items": { + "type": "string" + }, + "type": "array" + }, + "maximum": { + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", "type": "number", - "format": "float", - "description": "The maximum temperature this model can use." + "format": "double" }, - "topP": { + "maxLength": { + "description": "Optional. Maximum length of the Type.STRING", + "type": "string", + "format": "int64" + }, + "type": { + "x-enum-descriptions": [ + "Not specified, should not be used.", + "String type.", + "Number type.", + "Integer type.", + "Boolean type.", + "Array type.", + "Object type.", + "Null type." + ], + "description": "Required. Data type.", + "enum": [ + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" + ], + "type": "string" + }, + "minimum": { + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", "type": "number", - "format": "float", - "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model." + "format": "double" }, - "displayName": { + "minItems": { "type": "string", - "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters." + "format": "int64", + "description": "Optional. Minimum number of the elements for Type.ARRAY." }, - "outputTokenLimit": { - "description": "Maximum number of output tokens available for this model.", - "type": "integer", - "format": "int32" + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" }, - "supportedGenerationMethods": { + "required": { + "type": "array", + "description": "Optional. Required properties of Type.OBJECT.", "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`.", - "type": "array" + } }, - "temperature": { - "type": "number", - "format": "float", - "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model." + "title": { + "description": "Optional. The title of the schema.", + "type": "string" }, - "inputTokenLimit": { - "type": "integer", - "format": "int32", - "description": "Maximum number of input tokens allowed for this model." + "maxItems": { + "type": "string", + "format": "int64", + "description": "Optional. Maximum number of the elements for Type.ARRAY." }, - "thinking": { - "type": "boolean", - "description": "Whether the model supports thinking." + "maxProperties": { + "type": "string", + "format": "int64", + "description": "Optional. Maximum number of the properties for Type.OBJECT." }, - "baseModelId": { - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "format": { + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", "type": "string" }, - "topK": { - "type": "integer", - "format": "int32", - "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter." - } - }, - "type": "object", - "description": "Information about a Generative Language Model." - }, - "FunctionCall": { - "type": "object", - "properties": { - "args": { - "type": "object", - "description": "Optional. The function parameters and values in JSON object format.", - "additionalProperties": { - "description": "Properties of the object." - } - }, - "id": { - "type": "string", - "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`." + "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." }, - "name": { - "type": "string", - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128." - } - }, - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values." - }, - "CountTokensRequest": { - "properties": { - "contents": { + "propertyOrdering": { "type": "array", + "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", "items": { - "$ref": "#/components/schemas/Content" - }, - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set." + "type": "string" + } }, - "generateContentRequest": { - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", - "$ref": "#/components/schemas/GenerateContentRequest" - } - }, - "type": "object", - "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`." - }, - "InlinedEmbedContentResponse": { - "description": "The response to a single request in the batch.", - "properties": { - "response": { - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/EmbedContentResponse", - "readOnly": true + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + "type": "string" }, - "error": { - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status", - "readOnly": true + "minProperties": { + "type": "string", + "format": "int64", + "description": "Optional. Minimum number of the properties for Type.OBJECT." }, - "metadata": { - "description": "Output only. The metadata associated with the request.", - "additionalProperties": { - "description": "Properties of the object." - }, - "readOnly": true, - "type": "object" + "pattern": { + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", + "type": "string" } }, "type": "object" }, - "GroundingChunk": { + "InlinedResponses": { "properties": { - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" - }, - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" - }, - "maps": { - "description": "Optional. Grounding chunk from Google Maps.", - "$ref": "#/components/schemas/Maps" - }, - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" + "inlinedResponses": { + "readOnly": true, + "type": "array", + "description": "Output only. The responses to the requests in the batch.", + "items": { + "$ref": "#/components/schemas/InlinedResponse" + } } }, "type": "object", - "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps." - }, - "Empty": { - "type": "object", - "properties": {}, - "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }" + "description": "The responses to the requests in the batch." }, - "FileSearch": { - "type": "object", + "ListFilesResponse": { + "description": "Response for `ListFiles`.", "properties": { - "topK": { - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "type": "integer", - "format": "int32" - }, - "fileSearchStoreNames": { + "files": { "type": "array", + "description": "The list of `File`s.", "items": { - "type": "string" - }, - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`" + "$ref": "#/components/schemas/File" + } }, - "metadataFilter": { - "type": "string", - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks." - } - }, - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API." - }, - "RetrievalMetadata": { - "type": "object", - "properties": { - "googleSearchDynamicRetrievalScore": { - "type": "number", - "format": "float", - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search." + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "type": "string" } }, - "description": "Metadata related to retrieval in the grounding flow." + "type": "object" }, - "GeneratedFile": { - "description": "A file generated on behalf of a user.", + "SpeechConfig": { + "description": "Config for speech generation and transcription.", "properties": { - "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", - "type": "string" - }, - "mimeType": { - "type": "string", - "description": "MIME type of the generatedFile." + "voiceConfig": { + "$ref": "#/components/schemas/VoiceConfig", + "description": "The configuration in case of single-voice output." }, - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" + "languageCode": { + "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", + "type": "string" }, - "state": { - "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" - ], - "type": "string", - "description": "Output only. The state of the GeneratedFile.", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Being generated.", - "Generated and is ready for download.", - "Failed to generate the GeneratedFile." - ], - "readOnly": true + "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" }, - "TunedModel": { - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", + "FileSearchStore": { + "description": "A `FileSearchStore` is a collection of `Document`s.", "properties": { - "description": { - "description": "Optional. A short description of this model.", - "type": "string" - }, - "name": { - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "updateTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", "readOnly": true, - "type": "string" - }, - "topP": { - "type": "number", - "format": "float", - "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model." - }, - "displayName": { "type": "string", - "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces." + "format": "google-datetime" }, - "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "name": { + "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", + "readOnly": true, "type": "string" }, - "temperature": { - "type": "number", - "format": "float", - "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model." - }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" - }, - "updateTime": { + "createTime": { + "readOnly": true, "type": "string", "format": "google-datetime", - "description": "Output only. The timestamp when this model was updated.", - "readOnly": true + "description": "Output only. The Timestamp of when the `FileSearchStore` was created." }, - "readerProjectNumbers": { - "description": "Optional. List of project numbers that have read access to the tuned model.", - "items": { - "type": "string", - "format": "int64" - }, - "type": "array" + "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" }, - "state": { - "description": "Output only. The state of the tuned model.", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "The model is being created.", - "The model is ready to be used.", - "The model failed to be created." - ], + "pendingDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", "readOnly": true, "type": "string", - "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" - ] + "format": "int64" }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" + "failedDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "readOnly": true, + "type": "string", + "format": "int64" }, - "topK": { - "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", - "type": "integer", - "format": "int32" + "sizeBytes": { + "readOnly": true, + "type": "string", + "format": "int64", + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`." }, - "createTime": { - "description": "Output only. The timestamp when this model was created.", + "activeDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", "readOnly": true, "type": "string", - "format": "google-datetime" + "format": "int64" } }, "type": "object" }, - "BatchEmbedContentsRequest": { - "description": "Batch request to get embeddings from the model for a list of prompts.", + "InputEmbedContentConfig": { "type": "object", "properties": { + "fileName": { + "description": "The name of the `File` containing the input requests.", + "type": "string" + }, "requests": { - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", - "items": { - "$ref": "#/components/schemas/EmbedContentRequest" - }, - "type": "array" + "$ref": "#/components/schemas/InlinedEmbedContentRequests", + "description": "The requests to be processed in the batch." + } + }, + "description": "Configures the input to the batch request." + }, + "McpServer": { + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", + "type": "object", + "properties": { + "streamableHttpTransport": { + "$ref": "#/components/schemas/StreamableHttpTransport", + "description": "A transport that can stream HTTP requests and responses." + }, + "name": { + "description": "The name of the MCPServer.", + "type": "string" } } }, - "InlinedRequest": { - "description": "The request to be processed in the batch.", + "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": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" + "id": { + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "type": "string" }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", + "toolType": { + "type": "string", + "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" + ], + "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." + ] + }, + "args": { + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", "additionalProperties": { "description": "Properties of the object." }, "type": "object" } + } + }, + "ReviewSnippet": { + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", + "properties": { + "googleMapsUri": { + "description": "A link that corresponds to the user review on Google Maps.", + "type": "string" + }, + "reviewId": { + "description": "The ID of the review snippet.", + "type": "string" + }, + "title": { + "description": "Title of the review.", + "type": "string" + } }, "type": "object" }, - "Tool": { - "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", + "UploadToFileSearchStoreRequest": { "type": "object", "properties": { - "mcpServers": { - "type": "array", - "items": { - "$ref": "#/components/schemas/McpServer" - }, - "description": "Optional. MCP Servers to connect to." - }, - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" - }, - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" - }, - "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.", + "customMetadata": { + "description": "Custom metadata to be associated with the data.", "items": { - "$ref": "#/components/schemas/FunctionDeclaration" + "$ref": "#/components/schemas/CustomMetadata" }, "type": "array" }, - "googleMaps": { - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", - "$ref": "#/components/schemas/GoogleMaps" - }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" - }, - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" - }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" + "displayName": { + "description": "Optional. Display name of the created document.", + "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.", - "$ref": "#/components/schemas/ComputerUse" - } - } - }, - "TuningExample": { - "properties": { - "textInput": { - "type": "string", - "description": "Optional. Text model input." + "chunkingConfig": { + "$ref": "#/components/schemas/ChunkingConfig", + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters." }, - "output": { - "description": "Required. The expected model output.", + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", "type": "string" } }, - "type": "object", - "description": "A single example for tuning." + "description": "Request for `UploadToFileSearchStore`." }, - "RegisterFilesResponse": { + "ModalityTokenCount": { "type": "object", "properties": { - "files": { - "type": "array", - "description": "The registered files to be used when calling GenerateContent.", - "items": { - "$ref": "#/components/schemas/File" - } + "modality": { + "type": "string", + "description": "The modality associated with this token count.", + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" + ], + "x-enum-descriptions": [ + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." + ] + }, + "tokenCount": { + "description": "Number of tokens.", + "type": "integer", + "format": "int32" } }, - "description": "Response for `RegisterFiles`." + "description": "Represents token counting info for a single modality." }, "GenerateContentResponse": { "properties": { + "usageMetadata": { + "readOnly": true, + "description": "Output only. Metadata on the generation requests' token usage.", + "$ref": "#/components/schemas/UsageMetadata" + }, + "responseId": { + "readOnly": true, + "type": "string", + "description": "Output only. response_id is used to identify each response." + }, "candidates": { - "type": "array", "description": "Candidate responses from the model.", "items": { "$ref": "#/components/schemas/Candidate" - } - }, - "responseId": { - "description": "Output only. response_id is used to identify each response.", - "readOnly": true, - "type": "string" + }, + "type": "array" }, "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" - }, - "usageMetadata": { - "description": "Output only. Metadata on the generation requests' token usage.", - "$ref": "#/components/schemas/UsageMetadata", - "readOnly": true + "$ref": "#/components/schemas/PromptFeedback", + "description": "Returns the prompt's feedback related to the content filters." }, "modelVersion": { - "readOnly": true, "description": "Output only. The model version used to generate the response.", + "readOnly": true, "type": "string" }, "modelStatus": { + "readOnly": true, "description": "Output only. The current model status of this model.", - "$ref": "#/components/schemas/ModelStatus", - "readOnly": true + "$ref": "#/components/schemas/ModelStatus" } }, "type": "object", "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`." }, - "Hyperparameters": { - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", - "type": "object", + "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "description": "Grounding support.", "properties": { - "learningRateMultiplier": { - "type": "number", - "format": "float", - "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." + "segment": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment", + "description": "Segment of the content this support belongs to." }, - "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" + "confidenceScores": { + "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" + } }, - "epochCount": { - "type": "integer", - "format": "int32", - "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used." + "renderedParts": { + "readOnly": true, + "type": "array", + "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.", + "items": { + "type": "integer", + "format": "int32" + } }, - "batchSize": { - "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", - "type": "integer", - "format": "int32" + "groundingChunkIndices": { + "type": "array", + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", + "items": { + "type": "integer", + "format": "int32" + } } - } + }, + "type": "object" }, - "MultiSpeakerVoiceConfig": { - "description": "The configuration for the multi-speaker setup.", + "ListGeneratedFilesResponse": { + "description": "Response for `ListGeneratedFiles`.", "properties": { - "speakerVoiceConfigs": { + "generatedFiles": { "type": "array", + "description": "The list of `GeneratedFile`s.", "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" - }, - "description": "Required. All the enabled speaker voices." + "$ref": "#/components/schemas/GeneratedFile" + } + }, + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "type": "string" } }, "type": "object" }, - "Image": { - "description": "Chunk from image search.", + "InlinedResponse": { + "description": "The response to a single request in the batch.", "properties": { - "title": { - "description": "The title of the web page that the image is from.", - "type": "string" - }, - "domain": { - "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", - "type": "string" + "metadata": { + "description": "Output only. The metadata associated with the request.", + "additionalProperties": { + "description": "Properties of the object." + }, + "readOnly": true, + "type": "object" }, - "sourceUri": { - "description": "The web page URI for attribution.", - "type": "string" + "error": { + "readOnly": true, + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status" }, - "imageUri": { - "type": "string", - "description": "The image asset URL." + "response": { + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/GenerateContentResponse", + "readOnly": true } }, "type": "object" }, - "EmbedContentBatch": { - "description": "A resource representing a batch of `EmbedContent` requests.", + "TuningTask": { "type": "object", "properties": { - "batchStats": { - "readOnly": true, - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/EmbedContentBatchStats" - }, - "output": { + "completeTime": { "readOnly": true, - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/EmbedContentBatchOutput" + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when tuning this model completed." }, - "updateTime": { - "description": "Output only. The time at which the batch was last updated.", + "startTime": { + "description": "Output only. The timestamp when tuning this model started.", "readOnly": true, "type": "string", "format": "google-datetime" }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "type": "string", - "format": "int64" + "trainingData": { + "description": "Required. Input only. Immutable. The model training data.", + "$ref": "#/components/schemas/Dataset" }, - "name": { - "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "readOnly": true + "hyperparameters": { + "$ref": "#/components/schemas/Hyperparameters", + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used." }, - "createTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch was created.", - "readOnly": true + "snapshots": { + "readOnly": true, + "type": "array", + "description": "Output only. Metrics collected during tuning.", + "items": { + "$ref": "#/components/schemas/TuningSnapshot" + } + } + }, + "description": "Tuning tasks that create tuned models." + }, + "EmbedContentRequest": { + "description": "Request containing the `Content` for the model to embed.", + "properties": { + "model": { + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "type": "string" }, - "endTime": { + "title": { "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch processing completed.", - "readOnly": true + "deprecated": true, + "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval." }, - "model": { - "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." + "embedContentConfig": { + "$ref": "#/components/schemas/EmbedContentConfig", + "description": "Optional. Configuration for the EmbedContent request." }, - "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.", + "taskType": { "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." ], - "readOnly": true, + "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ], + "deprecated": true, "type": "string" }, - "displayName": { - "type": "string", - "description": "Required. The user-defined name of this batch." + "outputDimensionality": { + "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", + "type": "integer", + "format": "int32", + "deprecated": true }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" } - } + }, + "type": "object" }, - "TuningTask": { - "description": "Tuning tasks that create tuned models.", + "TransferOwnershipRequest": { + "properties": { + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + "type": "string" + } + }, + "type": "object", + "description": "Request to transfer the ownership of the tuned model." + }, + "BatchGenerateContentRequest": { "type": "object", "properties": { - "completeTime": { - "description": "Output only. The timestamp when tuning this model completed.", - "readOnly": true, + "batch": { + "$ref": "#/components/schemas/GenerateContentBatch", + "description": "Required. The batch to create." + } + }, + "description": "Request for a `BatchGenerateContent` operation." + }, + "VideoMetadata": { + "type": "object", + "deprecated": true, + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "properties": { + "endOffset": { "type": "string", - "format": "google-datetime" - }, - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" + "format": "google-duration", + "description": "Optional. The end offset of the video." }, - "hyperparameters": { - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", - "$ref": "#/components/schemas/Hyperparameters" + "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" }, - "startTime": { - "description": "Output only. The timestamp when tuning this model started.", - "readOnly": true, + "startOffset": { "type": "string", - "format": "google-datetime" - }, - "snapshots": { - "description": "Output only. Metrics collected during tuning.", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/TuningSnapshot" - }, - "type": "array" + "format": "google-duration", + "description": "Optional. The start offset of the video." } } }, - "Maps": { + "Permission": { + "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", + "type": "object", "properties": { - "placeAnswerSources": { - "description": "Sources that provide answers about the features of a given place in Google Maps.", - "$ref": "#/components/schemas/PlaceAnswerSources" - }, - "uri": { - "description": "URI reference of the place.", + "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" }, - "placeId": { - "type": "string", - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place." + "granteeType": { + "description": "Optional. Immutable. The type of the grantee.", + "enum": [ + "GRANTEE_TYPE_UNSPECIFIED", + "USER", + "GROUP", + "EVERYONE" + ], + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Represents a user. When set, you must provide email_address for the user.", + "Represents a group. When set, you must provide email_address for the group.", + "Represents access to everyone. No extra information is required." + ], + "type": "string" }, - "title": { - "type": "string", - "description": "Title of the place." + "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" }, - "text": { - "description": "Text description of the place answer.", + "role": { + "description": "Required. The role granted by this permission.", + "enum": [ + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" + ], + "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." + ], + "type": "string" + } + } + }, + "ListTunedModelsResponse": { + "type": "object", + "properties": { + "tunedModels": { + "type": "array", + "description": "The returned Models.", + "items": { + "$ref": "#/components/schemas/TunedModel" + } + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" } }, - "type": "object", - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place." + "description": "Response from `ListTunedModels` containing a paginated list of Models." }, - "ChunkingConfig": { - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", + "TuningExamples": { "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" + "examples": { + "type": "array", + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", + "items": { + "$ref": "#/components/schemas/TuningExample" + } } }, - "type": "object" + "type": "object", + "description": "A set of tuning examples. Can be training or validation data." }, - "ListFileSearchStoresResponse": { - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "type": "object", "properties": { - "fileSearchStores": { - "description": "The returned rag_stores.", - "items": { - "$ref": "#/components/schemas/FileSearchStore" - }, - "type": "array" + "retrievalConfig": { + "$ref": "#/components/schemas/RetrievalConfig", + "description": "Optional. Retrieval config." }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "functionCallingConfig": { + "description": "Optional. Function calling config.", + "$ref": "#/components/schemas/FunctionCallingConfig" + }, + "includeServerSideToolInvocations": { + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", + "type": "boolean" + } + } + }, + "PlaceAnswerSources": { + "properties": { + "reviewSnippets": { + "type": "array", + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "items": { + "$ref": "#/components/schemas/ReviewSnippet" + } } }, - "type": "object" + "type": "object", + "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources." }, - "LatLng": { - "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", + "InlinedEmbedContentRequest": { + "description": "The request to be processed in the batch.", "properties": { - "longitude": { - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", - "type": "number", - "format": "double" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/EmbedContentRequest" }, - "latitude": { - "type": "number", - "format": "double", - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0]." + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object" } }, "type": "object" }, - "CachedContent": { - "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for.", + "ListOperationsResponse": { + "description": "The response message for Operations.ListOperations.", "type": "object", "properties": { - "tools": { - "items": { - "$ref": "#/components/schemas/Tool" - }, - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", - "type": "array" - }, - "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" - }, - "createTime": { - "description": "Output only. Creation time of the cache entry.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" - }, - "model": { - "type": "string", - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`" - }, - "displayName": { - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "nextPageToken": { + "description": "The standard List next-page token.", "type": "string" }, - "contents": { + "operations": { "type": "array", - "description": "Optional. Input only. Immutable. The content to cache.", + "description": "A list of operations that matches the specified filter in the request.", "items": { - "$ref": "#/components/schemas/Content" + "$ref": "#/components/schemas/Operation" } }, - "expireTime": { - "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", - "type": "string", - "format": "google-datetime" - }, - "ttl": { - "description": "Input only. New TTL for this resource, input only.", + "unreachable": { + "type": "array", + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", + "items": { + "type": "string" + } + } + } + }, + "FunctionCallingConfig": { + "description": "Configuration for specifying function calling behavior.", + "type": "object", + "properties": { + "mode": { "type": "string", - "format": "google-duration" - }, - "usageMetadata": { - "description": "Output only. Metadata on the usage of the cached content.", - "$ref": "#/components/schemas/CachedContentUsageMetadata", - "readOnly": true + "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" + ], + "x-enum-descriptions": [ + "Unspecified function calling mode. This value should not be used.", + "Default model behavior, model decides to predict either a function call or a natural language response.", + "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", + "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", + "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." + ] }, - "updateTime": { - "description": "Output only. When the cache entry was last updated in UTC time.", + "allowedFunctionNames": { + "type": "array", + "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", + "items": { + "type": "string" + } + } + } + }, + "EmbeddingUsageMetadata": { + "type": "object", + "properties": { + "promptTokenCount": { "readOnly": true, - "type": "string", - "format": "google-datetime" + "type": "integer", + "format": "int32", + "description": "Output only. Number of tokens in the prompt." }, - "name": { - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "promptTokenDetails": { + "description": "Output only. List of modalities that were processed in the request input.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, "readOnly": true, - "type": "string" + "type": "array" } - } + }, + "description": "Metadata on the usage of the embedding request." }, - "VideoMetadata": { + "Image": { + "description": "Chunk from image search.", "properties": { - "startOffset": { - "type": "string", - "format": "google-duration", - "description": "Optional. The start offset of the video." + "sourceUri": { + "description": "The web page URI for attribution.", + "type": "string" }, - "fps": { - "type": "number", - "format": "double", - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]." + "imageUri": { + "description": "The image asset URL.", + "type": "string" }, - "endOffset": { - "type": "string", - "format": "google-duration", - "description": "Optional. The end offset of the video." + "title": { + "description": "The title of the web page that the image is from.", + "type": "string" + }, + "domain": { + "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "type": "string" } }, - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", - "deprecated": true, "type": "object" }, - "UploadToFileSearchStoreRequest": { + "InlinedRequest": { + "description": "The request to be processed in the batch.", + "type": "object", "properties": { - "displayName": { - "type": "string", - "description": "Optional. Display name of the created document." + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" }, - "customMetadata": { - "items": { - "$ref": "#/components/schemas/CustomMetadata" + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "additionalProperties": { + "description": "Properties of the object." }, - "description": "Custom metadata to be associated with the data.", - "type": "array" + "type": "object" + } + } + }, + "ToolResponse": { + "type": "object", + "properties": { + "id": { + "description": "Optional. The identifier of the tool call this response is for.", + "type": "string" }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "toolType": { + "type": "string", + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ] }, - "mimeType": { - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", - "type": "string" + "response": { + "type": "object", + "description": "Optional. The tool response.", + "additionalProperties": { + "description": "Properties of the object." + } } }, - "type": "object", - "description": "Request for `UploadToFileSearchStore`." + "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`." }, - "FunctionCallingConfig": { - "description": "Configuration for specifying function calling behavior.", + "LogprobsResult": { + "description": "Logprobs Result", "type": "object", "properties": { - "mode": { - "enum": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" - ], - "type": "string", - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", - "x-enum-descriptions": [ - "Unspecified function calling mode. This value should not be used.", - "Default model behavior, model decides to predict either a function call or a natural language response.", - "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", - "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", - "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." - ] - }, - "allowedFunctionNames": { + "chosenCandidates": { "type": "array", + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", "items": { - "type": "string" - }, - "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names." - } - } - }, - "ImportFileRequest": { - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", - "properties": { - "fileName": { - "type": "string", - "description": "Required. The name of the `File` to import. Example: `files/abc-123`" + "$ref": "#/components/schemas/LogprobsResultCandidate" + } }, - "customMetadata": { - "description": "Custom metadata to be associated with the file.", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "type": "array" + "logProbabilitySum": { + "type": "number", + "format": "float", + "description": "Sum of log probabilities for all tokens." }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "topCandidates": { + "type": "array", + "description": "Length = total number of decoding steps.", + "items": { + "$ref": "#/components/schemas/TopCandidates" + } } - }, - "type": "object" + } }, - "InlinedEmbedContentRequests": { + "BatchEmbedContentsRequest": { + "description": "Batch request to get embeddings from the model for a list of prompts.", + "type": "object", "properties": { "requests": { + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" + "$ref": "#/components/schemas/EmbedContentRequest" }, - "description": "Required. The requests to be processed in the batch.", "type": "array" } - }, - "type": "object", - "description": "The requests to be processed in the batch if provided as part of the batch creation request." + } }, - "CustomLongRunningOperation": { + "GeneratedFile": { "type": "object", "properties": { - "done": { - "type": "boolean", - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available." + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "type": "string" }, - "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." - } + "mimeType": { + "description": "MIME type of the generatedFile.", + "type": "string" + }, + "state": { + "description": "Output only. The state of the GeneratedFile.", + "enum": [ + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" + ], + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Being generated.", + "Generated and is ready for download.", + "Failed to generate the GeneratedFile." + ], + "readOnly": true, + "type": "string" }, "error": { - "description": "The error result of the operation in case of failure or cancellation.", + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", "$ref": "#/components/schemas/Status" - }, - "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + } + }, + "description": "A file generated on behalf of a user." + }, + "FileData": { + "properties": { + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", "type": "string" }, - "metadata": { - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "type": "object" + "fileUri": { + "description": "Required. URI.", + "type": "string" } - } + }, + "type": "object", + "description": "URI based data." }, - "SpeakerVoiceConfig": { - "description": "The configuration for a single speaker in a multi speaker setup.", + "GenerateContentRequest": { + "description": "Request to generate a completion from the model.", "type": "object", "properties": { - "speaker": { + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "serviceTier": { "type": "string", - "description": "Required. The name of the speaker to use. Should be the same as in the prompt." + "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" + ] }, - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" + "generationConfig": { + "description": "Optional. Configuration options for model generation and outputs.", + "$ref": "#/components/schemas/GenerationConfig" + }, + "toolConfig": { + "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", + "$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" + }, + "tools": { + "type": "array", + "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", + "items": { + "$ref": "#/components/schemas/Tool" + } + }, + "cachedContent": { + "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", + "type": "string" + }, + "systemInstruction": { + "$ref": "#/components/schemas/Content", + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only." + }, + "safetySettings": { + "type": "array", + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", + "items": { + "$ref": "#/components/schemas/SafetySetting" + } + }, + "contents": { + "type": "array", + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", + "items": { + "$ref": "#/components/schemas/Content" + } } } }, - "CodeExecutionResult": { - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", + "UrlMetadata": { "type": "object", "properties": { - "outcome": { + "retrievedUrl": { + "description": "Retrieved url by the tool.", + "type": "string" + }, + "urlRetrievalStatus": { "type": "string", + "description": "Status of the url retrieval.", "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" ], - "description": "Required. Outcome of the code execution.", "x-enum-descriptions": [ - "Unspecified status. This value should not be used.", - "Code execution completed successfully. `output` contains the stdout, if any.", - "Code execution failed. `output` contains the stderr and stdout, if any.", - "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." + "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": "Context of the a single url retrieval." + }, + "ComputerUse": { + "properties": { + "excludedPredefinedFunctions": { + "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", + "items": { + "type": "string" + }, + "type": "array" }, - "output": { - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "environment": { + "description": "Required. The environment being operated.", + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER" + ], + "x-enum-descriptions": [ + "Defaults to browser.", + "Operates in a web browser." + ], "type": "string" - }, - "id": { - "type": "string", - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id." } - } + }, + "type": "object", + "description": "Computer Use tool type." + }, + "Empty": { + "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", + "properties": {}, + "type": "object" + }, + "AsyncBatchEmbedContentRequest": { + "properties": { + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/EmbedContentBatch" + } + }, + "type": "object", + "description": "Request for an `AsyncBatchEmbedContent` operation." } } }