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 1c6eeffa..eed9d2cb 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 @@ -451,20 +451,20 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - /// - /// Stats about the batch. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// Configures the input to the batch request. /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Stats about the batch. + /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Required. The user-defined name of this batch. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -473,22 +473,22 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( string batchesId, string? updateMask = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, - string? model = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, - string? priority = default, string? displayName = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + string? priority = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { Output = output, - BatchStats = batchStats, - Model = model, InputConfig = inputConfig, - Priority = priority, DisplayName = displayName, + BatchStats = batchStats, + Priority = priority, + Model = model, }; return await BatchesUpdateEmbedContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 55b228bf..a6634062 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 @@ -448,47 +448,47 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// + /// + /// 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. - /// - /// - /// 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. + /// + /// Stats about the batch. /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// Required. The user-defined name of this batch. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, + global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, - global::Google.Gemini.BatchStats? batchStats = default, - string? displayName = default, string? model = default, - global::Google.Gemini.InputConfig? inputConfig = default, + global::Google.Gemini.BatchStats? batchStats = default, string? priority = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { + InputConfig = inputConfig, Output = output, - BatchStats = batchStats, - DisplayName = displayName, Model = model, - InputConfig = inputConfig, + BatchStats = batchStats, Priority = priority, + DisplayName = displayName, }; 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 61a3de4a..68d93a90 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 @@ -431,26 +431,26 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Input only. New TTL for this resource, input only. /// - /// - /// Metadata on the usage of the cached content. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -458,13 +458,13 @@ partial void ProcessCachedContentsCreateResponseContent( public async global::System.Threading.Tasks.Task CachedContentsCreateAsync( string? expireTime = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? ttl = default, - global::System.Collections.Generic.IList? contents = default, string? model = default, - string? displayName = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? displayName = default, + global::System.Collections.Generic.IList? contents = default, + string? ttl = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { @@ -472,13 +472,13 @@ partial void ProcessCachedContentsCreateResponseContent( { ExpireTime = expireTime, SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - Ttl = ttl, - Contents = contents, Model = model, - DisplayName = displayName, + ToolConfig = toolConfig, UsageMetadata = usageMetadata, + DisplayName = displayName, + Contents = contents, + Ttl = ttl, + Tools = tools, }; return await CachedContentsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs index ebf5ef75..2df6d2af 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 @@ -454,26 +454,26 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Input only. New TTL for this resource, input only. /// - /// - /// Metadata on the usage of the cached content. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -483,13 +483,13 @@ partial void ProcessCachedContentsPatchResponseContent( string? updateMask = default, string? expireTime = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? ttl = default, - global::System.Collections.Generic.IList? contents = default, string? model = default, - string? displayName = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? displayName = default, + global::System.Collections.Generic.IList? contents = default, + string? ttl = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { @@ -497,13 +497,13 @@ partial void ProcessCachedContentsPatchResponseContent( { ExpireTime = expireTime, SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - Ttl = ttl, - Contents = contents, Model = model, - DisplayName = displayName, + ToolConfig = toolConfig, UsageMetadata = usageMetadata, + DisplayName = displayName, + Contents = contents, + Ttl = ttl, + Tools = tools, }; return await CachedContentsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs index 0167d56a..b60eac67 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 @@ -438,28 +438,28 @@ partial void ProcessCorporaPermissionsCreateResponseContent( /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// 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, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = 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 { EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + 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 5b7d23da..3c9a7e14 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 @@ -461,12 +461,12 @@ partial void ProcessCorporaPermissionsPatchResponseContent( /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// 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 /// @@ -475,16 +475,16 @@ partial void ProcessCorporaPermissionsPatchResponseContent( string corporaId, string? updateMask = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = 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 { EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + 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 7b04c5cf..119a97fd 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 @@ -435,11 +435,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -447,54 +450,51 @@ partial void ProcessDynamicGenerateContentResponseContent( /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + SystemInstruction = systemInstruction, Model = model, - Contents = contents, + ToolConfig = toolConfig, GenerationConfig = generationConfig, Store = store, + Contents = contents, + CachedContent = cachedContent, + Tools = tools, SafetySettings = safetySettings, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, }; 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 892e92d6..d682a842 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 @@ -435,11 +435,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -447,54 +450,51 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + SystemInstruction = systemInstruction, Model = model, - Contents = contents, + ToolConfig = toolConfig, GenerationConfig = generationConfig, Store = store, + Contents = contents, + CachedContent = cachedContent, + Tools = tools, SafetySettings = safetySettings, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, }; 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 0c69c1e0..d2dfe2e8 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 @@ -376,11 +376,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -388,54 +391,51 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = 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, Model = model, - Contents = contents, + ToolConfig = toolConfig, GenerationConfig = generationConfig, Store = store, + Contents = contents, + CachedContent = cachedContent, + Tools = tools, SafetySettings = safetySettings, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, }; var __enumerable = DynamicStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs index 9f8368aa..7dac3545 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs @@ -425,25 +425,25 @@ partial void ProcessFileSearchStoresCreateResponseContent( /// /// Creates an empty `FileSearchStore`. /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// /// /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. /// + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task FileSearchStoresCreateAsync( - string? displayName = default, string? embeddingModel = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.FileSearchStore { - DisplayName = displayName, EmbeddingModel = embeddingModel, + DisplayName = displayName, }; return await FileSearchStoresCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs index dbe30ef1..4f5ed69b 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 @@ -435,36 +435,36 @@ 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. /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + /// Optional. Display name of the created document. /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - string? displayName = default, global::System.Collections.Generic.IList? customMetadata = default, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + string? displayName = default, string? mimeType = default, + global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.UploadToFileSearchStoreRequest { - DisplayName = displayName, CustomMetadata = customMetadata, - ChunkingConfig = chunkingConfig, + DisplayName = displayName, MimeType = mimeType, + ChunkingConfig = chunkingConfig, }; return await MediaUploadToFileSearchStoreAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs index c4e0cb91..9181ee76 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 @@ -437,31 +437,31 @@ partial void ProcessModelsEmbedContentResponseContent( /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Configurations for the EmbedContent request. /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, - string? model = default, global::Google.Gemini.Content? content = default, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentRequest { - Model = model, Content = content, EmbedContentConfig = embedContentConfig, + Model = model, }; return await ModelsEmbedContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs index ed68391d..605d05e1 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 @@ -435,11 +435,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -447,54 +450,51 @@ partial void ProcessModelsGenerateContentResponseContent( /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + SystemInstruction = systemInstruction, Model = model, - Contents = contents, + ToolConfig = toolConfig, GenerationConfig = generationConfig, Store = store, + Contents = contents, + CachedContent = cachedContent, + Tools = tools, SafetySettings = safetySettings, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, }; 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 e50b3c2c..95785c9d 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 @@ -435,11 +435,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -447,54 +450,51 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + SystemInstruction = systemInstruction, Model = model, - Contents = contents, + ToolConfig = toolConfig, GenerationConfig = generationConfig, Store = store, + Contents = contents, + CachedContent = cachedContent, + Tools = tools, SafetySettings = safetySettings, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, }; 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 fa28bf5c..512998e8 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 @@ -376,11 +376,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -388,54 +391,51 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = 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, Model = model, - Contents = contents, + ToolConfig = toolConfig, GenerationConfig = generationConfig, Store = store, + Contents = contents, + CachedContent = cachedContent, + Tools = tools, SafetySettings = safetySettings, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, }; 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 82f593c9..eba4ddf3 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 @@ -438,20 +438,26 @@ 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 /// /// - /// - /// Tuning tasks that create tuned models. + /// + /// Tuned model as a source for training a new model. /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. @@ -459,40 +465,34 @@ partial void ProcessTunedModelsCreateResponseContent( /// /// 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. - /// - /// - /// Tuned model as a source for training a new model. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - global::Google.Gemini.TuningTask? tuningTask = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - float? topP = default, - float? temperature = default, string? baseModel = default, + float? temperature = default, + float? topP = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? displayName = default, string? description = default, - int? topK = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - TuningTask = tuningTask, + TunedModelSource = tunedModelSource, ReaderProjectNumbers = readerProjectNumbers, - TopP = topP, - Temperature = temperature, BaseModel = baseModel, + Temperature = temperature, + TopP = topP, + TopK = topK, + TuningTask = tuningTask, DisplayName = displayName, Description = description, - TopK = topK, - TunedModelSource = tunedModelSource, }; 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 c26179f6..5bb133e8 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 @@ -435,11 +435,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -447,54 +450,51 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + SystemInstruction = systemInstruction, Model = model, - Contents = contents, + ToolConfig = toolConfig, GenerationConfig = generationConfig, Store = store, + Contents = contents, + CachedContent = cachedContent, + Tools = tools, SafetySettings = safetySettings, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, }; 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 c3772d38..50861c45 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 @@ -448,20 +448,26 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// /// - /// - /// Tuning tasks that create tuned models. + /// + /// Tuned model as a source for training a new model. /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. @@ -469,41 +475,35 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// 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. - /// - /// - /// Tuned model as a source for training a new model. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - global::Google.Gemini.TuningTask? tuningTask = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - float? topP = default, - float? temperature = default, string? baseModel = default, + float? temperature = default, + float? topP = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? displayName = default, string? description = default, - int? topK = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - TuningTask = tuningTask, + TunedModelSource = tunedModelSource, ReaderProjectNumbers = readerProjectNumbers, - TopP = topP, - Temperature = temperature, BaseModel = baseModel, + Temperature = temperature, + TopP = topP, + TopK = topK, + TuningTask = tuningTask, DisplayName = displayName, Description = description, - TopK = topK, - TunedModelSource = tunedModelSource, }; 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 58eaf040..13bffeb0 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 @@ -438,28 +438,28 @@ partial void ProcessTunedModelsPermissionsCreateResponseContent( /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// 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, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = 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 { EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + 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 36931011..77b7f6ff 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 @@ -461,12 +461,12 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// 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 /// @@ -475,16 +475,16 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( string permissionsId, string? updateMask = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = 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 { EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + 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 ec42d88b..2e2d3f2a 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 @@ -435,11 +435,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -447,54 +450,51 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + SystemInstruction = systemInstruction, Model = model, - Contents = contents, + ToolConfig = toolConfig, GenerationConfig = generationConfig, Store = store, + Contents = contents, + CachedContent = cachedContent, + Tools = tools, SafetySettings = safetySettings, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, }; 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 b667ec02..69cad8f9 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 @@ -376,11 +376,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -388,54 +391,51 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = 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, Model = model, - Contents = contents, + ToolConfig = toolConfig, GenerationConfig = generationConfig, Store = store, + Contents = contents, + CachedContent = cachedContent, + Tools = tools, SafetySettings = safetySettings, ServiceTier = serviceTier, - SystemInstruction = systemInstruction, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, }; 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 76bac129..f1395a75 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 @@ -44,20 +44,20 @@ public partial interface IGeminiClient /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - /// - /// Stats about the batch. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// Configures the input to the batch request. /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Stats about the batch. + /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Required. The user-defined name of this batch. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -66,11 +66,11 @@ public partial interface IGeminiClient string batchesId, string? updateMask = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, - string? model = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, - string? priority = default, string? displayName = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + string? priority = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 7bd69519..1c66b198 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -41,36 +41,36 @@ public partial interface IGeminiClient /// /// /// + /// + /// 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. - /// - /// - /// 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. + /// + /// Stats about the batch. /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// Required. The user-defined name of this batch. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, + global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, - global::Google.Gemini.BatchStats? batchStats = default, - string? displayName = default, string? model = default, - global::Google.Gemini.InputConfig? inputConfig = default, + global::Google.Gemini.BatchStats? batchStats = default, string? priority = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs index 1a411858..819accc1 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 @@ -37,26 +37,26 @@ public partial interface IGeminiClient /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Input only. New TTL for this resource, input only. /// - /// - /// Metadata on the usage of the cached content. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -64,13 +64,13 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task CachedContentsCreateAsync( string? expireTime = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? ttl = default, - global::System.Collections.Generic.IList? contents = default, string? model = default, - string? displayName = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? displayName = default, + global::System.Collections.Generic.IList? contents = default, + string? ttl = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs index de6bc0ec..3d054817 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 @@ -47,26 +47,26 @@ public partial interface IGeminiClient /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Input only. New TTL for this resource, input only. /// - /// - /// Metadata on the usage of the cached content. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -76,13 +76,13 @@ public partial interface IGeminiClient string? updateMask = default, string? expireTime = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? ttl = default, - global::System.Collections.Generic.IList? contents = default, string? model = default, - string? displayName = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? displayName = default, + global::System.Collections.Generic.IList? contents = default, + string? ttl = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs index 6862024b..5ec2145a 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 @@ -39,20 +39,20 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// 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, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = 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 23ae22ac..deb5b41f 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 @@ -49,12 +49,12 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// 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 /// @@ -63,8 +63,8 @@ public partial interface IGeminiClient string corporaId, string? updateMask = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = 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 d411315e..d6879005 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs @@ -36,11 +36,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -48,39 +51,36 @@ public partial interface IGeminiClient /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = 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 3b0b9024..ff866280 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs @@ -36,11 +36,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -48,39 +51,36 @@ public partial interface IGeminiClient /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = 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 995cc3ec..182647fc 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 @@ -22,11 +22,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -34,39 +37,36 @@ public partial interface IGeminiClient /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs index 9edab07f..456dc9c7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs @@ -31,18 +31,18 @@ public partial interface IGeminiClient /// /// Creates an empty `FileSearchStore`. /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// /// /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. /// + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task FileSearchStoresCreateAsync( - string? displayName = default, string? embeddingModel = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs index 490b5361..1fd58792 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs @@ -36,27 +36,27 @@ public partial interface IGeminiClient /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Optional. Display name of the created document. - /// /// /// Custom metadata to be associated with the data. /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + /// Optional. Display name of the created document. /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - string? displayName = default, global::System.Collections.Generic.IList? customMetadata = default, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + string? displayName = default, string? mimeType = default, + global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs index 2f5b194e..a0ce1945 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs @@ -38,23 +38,23 @@ public partial interface IGeminiClient /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Configurations for the EmbedContent request. /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, - string? model = default, global::Google.Gemini.Content? content = default, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs index 03ad5955..bc72b668 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs @@ -36,11 +36,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -48,39 +51,36 @@ public partial interface IGeminiClient /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = 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 fd2b92c2..6e03d3d9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs @@ -36,11 +36,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -48,39 +51,36 @@ public partial interface IGeminiClient /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = 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 26704fdb..5eb0da01 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 @@ -22,11 +22,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -34,39 +37,36 @@ public partial interface IGeminiClient /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = 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 4dba7ed5..94966e0c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs @@ -36,20 +36,26 @@ 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 /// /// - /// - /// Tuning tasks that create tuned models. + /// + /// Tuned model as a source for training a new model. /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. @@ -57,26 +63,20 @@ public partial interface IGeminiClient /// /// 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. - /// - /// - /// Tuned model as a source for training a new model. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - global::Google.Gemini.TuningTask? tuningTask = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - float? topP = default, - float? temperature = default, string? baseModel = default, + float? temperature = default, + float? topP = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? displayName = default, string? description = default, - int? topK = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = 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 cf87641f..06aa5411 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs @@ -36,11 +36,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -48,39 +51,36 @@ public partial interface IGeminiClient /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = 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 c02d7057..4048e4e1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs @@ -41,20 +41,26 @@ public partial interface IGeminiClient /// /// /// - /// - /// Tuning tasks that create tuned models. + /// + /// Tuned model as a source for training a new model. /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. @@ -62,27 +68,21 @@ public partial interface IGeminiClient /// /// 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. - /// - /// - /// Tuned model as a source for training a new model. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - global::Google.Gemini.TuningTask? tuningTask = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - float? topP = default, - float? temperature = default, string? baseModel = default, + float? temperature = default, + float? topP = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? displayName = default, string? description = default, - int? topK = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = 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 2eced6f5..37eaa38e 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 @@ -39,20 +39,20 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// 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, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = 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 b9a1f31c..6e5c8adb 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 @@ -49,12 +49,12 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// 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 /// @@ -63,8 +63,8 @@ public partial interface IGeminiClient string permissionsId, string? updateMask = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = 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 68a4204e..0e50e10d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -36,11 +36,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -48,39 +51,36 @@ public partial interface IGeminiClient /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = 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 ac50d29a..d293d7d9 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 @@ -22,11 +22,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -34,39 +37,36 @@ public partial interface IGeminiClient /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, + global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, + global::System.Collections.Generic.IList? contents = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = 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 7714fd8d..0491f7ec 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,477 +13,477 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), 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.Tool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecution))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleMaps))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContext))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearchRetrieval))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.McpServer))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclaration))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PrebuiltVoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContentUsageMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImportFileRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomMetadata))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ChunkingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbeddingUsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponseToolType), TypeInfoPropertyName = "ToolResponseToolType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SemanticRetrieverChunk))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputEmbedContentConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(double))] + [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.CountTokensResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCount))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadataServiceTier), TypeInfoPropertyName = "UsageMetadataServiceTier2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ResponseFormatConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(double))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SchemaType), TypeInfoPropertyName = "SchemaType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Dataset))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExamples))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomLongRunningOperation))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunk))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Web))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievedContext))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Maps))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListGeneratedFilesResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFile))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContent))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContentUsageMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigMediaResolution), TypeInfoPropertyName = "GenerationConfigMediaResolution2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TranslationConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Blob))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(byte[]))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponses))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Permission))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PermissionRole), TypeInfoPropertyName = "PermissionRole2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PermissionGranteeType), TypeInfoPropertyName = "PermissionGranteeType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchState), TypeInfoPropertyName = "EmbedContentBatchState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchOutput))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchStats))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputEmbedContentConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SemanticRetrieverChunk))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCountModality), TypeInfoPropertyName = "ModalityTokenCountModality2")] - [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.SafetyRating))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingProbability), TypeInfoPropertyName = "SafetyRatingProbability2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingCategory), TypeInfoPropertyName = "SafetyRatingCategory2")] - [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.EmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequestTaskType), TypeInfoPropertyName = "EmbedContentRequestTaskType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListOperationsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Operation))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFilesResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ContentEmbedding))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AsyncBatchEmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigResponseModalitie), TypeInfoPropertyName = "GenerationConfigResponseModalitie2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormat))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormatImageSize), TypeInfoPropertyName = "ImageResponseFormatImageSize2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormatAspectRatio), TypeInfoPropertyName = "ImageResponseFormatAspectRatio2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormatMimeType), TypeInfoPropertyName = "ImageResponseFormatMimeType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormatAspectRatio), TypeInfoPropertyName = "ImageResponseFormatAspectRatio2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormatImageSize), TypeInfoPropertyName = "ImageResponseFormatImageSize2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormatDelivery), TypeInfoPropertyName = "ImageResponseFormatDelivery2")] - [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.ThinkingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfigThinkingLevel), TypeInfoPropertyName = "ThinkingConfigThinkingLevel2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedback))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedbackBlockReason), TypeInfoPropertyName = "PromptFeedbackBlockReason2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFileState), TypeInfoPropertyName = "GeneratedFileState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearchStore))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchOutput))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCorporaResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ResponseFormatConfig))] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRating))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponses))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Candidate))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationMetadata))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingMetadata))] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkCustomMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchOutput))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListGeneratedFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFile))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFileState), 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingPassageId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleMaps))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormatMimeType), TypeInfoPropertyName = "AudioResponseFormatMimeType2")] 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PrebuiltVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCodeLanguage), TypeInfoPropertyName = "ExecutableCodeLanguage2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] + [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.RegisterFilesRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeakerVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DocumentState), TypeInfoPropertyName = "DocumentState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearchRetrieval))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContext))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.McpServer))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchTypes))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WebSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WhiteSpaceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCallToolType), TypeInfoPropertyName = "ToolCallToolType2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Empty))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AttributionSourceId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelSource))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkStringList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingCategory), TypeInfoPropertyName = "SafetyRatingCategory2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingProbability), TypeInfoPropertyName = "SafetyRatingProbability2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Web))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Model))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunk))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListTunedModelsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySetting))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequestServiceTier), TypeInfoPropertyName = "GenerateContentRequestServiceTier2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponses))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TopCandidates))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingAttribution))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadataUrlRetrievalStatus), TypeInfoPropertyName = "UrlMetadataUrlRetrievalStatus2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadataServiceTier), TypeInfoPropertyName = "UsageMetadataServiceTier2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchState), TypeInfoPropertyName = "GenerateContentBatchState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCountModality), TypeInfoPropertyName = "ModalityTokenCountModality2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCachedContentsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelSource))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfigTaskType), TypeInfoPropertyName = "EmbedContentConfigTaskType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImportFileRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCallToolType), TypeInfoPropertyName = "ToolCallToolType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSource), TypeInfoPropertyName = "FileSource2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileState), TypeInfoPropertyName = "FileState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WebSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Candidate))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResult))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CandidateFinishReason), TypeInfoPropertyName = "CandidateFinishReason2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatusModelStage), TypeInfoPropertyName = "ModelStatusModelStage2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchGenerateContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListPermissionsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [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.ListOperationsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SchemaType), TypeInfoPropertyName = "SchemaType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomLongRunningOperation))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingCategory), TypeInfoPropertyName = "SafetySettingCategory2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingThreshold), TypeInfoPropertyName = "SafetySettingThreshold2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadataUrlRetrievalStatus), TypeInfoPropertyName = "UrlMetadataUrlRetrievalStatus2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [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 d755c8f9..b32e6d13 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,747 +28,747 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.Tool? Type0 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type0 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type1 { get; set; } + public int? Type1 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type2 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type2 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type3 { get; set; } + public string? Type3 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type4 { get; set; } + public global::System.Collections.Generic.IList? Type4 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type5 { get; set; } + public global::Google.Gemini.CustomMetadata? Type5 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type6 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type6 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type7 { get; set; } + public global::Google.Gemini.ToolResponse? Type7 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type8 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type8 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type9 { get; set; } + public object? Type9 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type10 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type10 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type11 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type11 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type12 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type12 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type13 { get; set; } + public global::Google.Gemini.VideoMetadata? Type13 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type14 { get; set; } + public double? Type14 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type15 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type15 { get; set; } /// /// /// - public string? Type16 { get; set; } + public global::System.Collections.Generic.IList? Type16 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type17 { get; set; } + public global::Google.Gemini.Permission? Type17 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type18 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type18 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type19 { get; set; } + public global::System.Collections.Generic.IList? Type19 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type20 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type20 { get; set; } /// /// /// - public int? Type21 { get; set; } + public global::Google.Gemini.GenerationConfig? Type21 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type22 { get; set; } + public float? Type22 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type23 { get; set; } + public global::Google.Gemini.ResponseFormatConfig? Type23 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type24 { get; set; } + public global::Google.Gemini.Schema? Type24 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadataServiceTier? Type25 { get; set; } + public bool? Type25 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type26 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type26 { get; set; } /// /// /// - public double? Type27 { get; set; } + public global::Google.Gemini.TranslationConfig? Type27 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type28 { get; set; } + public global::Google.Gemini.SpeechConfig? Type28 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type29 { get; set; } + public global::System.Collections.Generic.IList? Type29 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type30 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type30 { get; set; } /// /// /// - public object? Type31 { get; set; } + public global::Google.Gemini.ImageConfig? Type31 { get; set; } /// /// /// - public bool? Type32 { get; set; } + public global::System.Collections.Generic.IList? Type32 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type33 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type33 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type34 { get; set; } + public global::Google.Gemini.ImageResponseFormat? Type34 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type35 { get; set; } + public global::Google.Gemini.ImageResponseFormatMimeType? Type35 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type36 { get; set; } + public global::Google.Gemini.ImageResponseFormatAspectRatio? Type36 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type37 { get; set; } + public global::Google.Gemini.ImageResponseFormatImageSize? Type37 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type38 { get; set; } + public global::Google.Gemini.ImageResponseFormatDelivery? Type38 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type39 { get; set; } + public global::Google.Gemini.FunctionCall? Type39 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type40 { get; set; } + public global::Google.Gemini.TuningExamples? Type40 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type41 { get; set; } + public global::System.Collections.Generic.IList? Type41 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type42 { get; set; } + public global::Google.Gemini.TuningExample? Type42 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type43 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type43 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type44 { get; set; } + public global::System.Collections.Generic.Dictionary? Type44 { get; set; } /// /// /// - public float? Type45 { get; set; } + public global::Google.Gemini.ComputerUse? Type45 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type46 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type46 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type47 { get; set; } + public global::System.Collections.Generic.IList? Type47 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type48 { get; set; } + public global::Google.Gemini.ComputerUseDisabledSafetyPolicie? Type48 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type49 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type49 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type50 { get; set; } + public global::System.Collections.Generic.IList? Type50 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type51 { get; set; } + public global::Google.Gemini.FileSearchStore? Type51 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type52 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type52 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type53 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type53 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type54 { get; set; } + public byte[]? Type54 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type55 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type55 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type56 { get; set; } + public global::System.Collections.Generic.IList? Type56 { get; set; } /// /// /// - public byte[]? Type57 { get; set; } + public global::Google.Gemini.Document? Type57 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type58 { get; set; } + public global::Google.Gemini.CodeExecution? Type58 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type59 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type59 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type60 { get; set; } + public global::System.Collections.Generic.IList? Type60 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type61 { get; set; } + public global::Google.Gemini.UrlMetadata? Type61 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type62 { get; set; } + public global::Google.Gemini.InlinedRequests? Type62 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type63 { get; set; } + public global::System.Collections.Generic.IList? Type63 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type64 { get; set; } + public global::Google.Gemini.InlinedRequest? Type64 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type65 { get; set; } + public global::Google.Gemini.LogprobsResult? Type65 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type66 { get; set; } + public global::System.Collections.Generic.IList? Type66 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type67 { get; set; } + public global::Google.Gemini.TopCandidates? Type67 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type68 { get; set; } + public global::System.Collections.Generic.IList? Type68 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type69 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type69 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type70 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type70 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type71 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type71 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type72 { get; set; } + public global::Google.Gemini.File? Type72 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type73 { get; set; } + public global::Google.Gemini.ToolConfig? Type73 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type74 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type74 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type75 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type75 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type76 { get; set; } + public global::Google.Gemini.TuningTask? Type76 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type77 { get; set; } + public global::Google.Gemini.Hyperparameters? Type77 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type78 { get; set; } + public global::Google.Gemini.Dataset? Type78 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type79 { get; set; } + public global::System.Collections.Generic.IList? Type79 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type80 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type80 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type81 { get; set; } + public global::Google.Gemini.Part? Type81 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type82 { get; set; } + public global::Google.Gemini.ExecutableCode? Type82 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type83 { get; set; } + public global::Google.Gemini.Blob? Type83 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type84 { get; set; } + public global::Google.Gemini.FunctionResponse? Type84 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type85 { get; set; } + public global::Google.Gemini.FileData? Type85 { get; set; } /// /// /// - public global::Google.Gemini.File? Type86 { get; set; } + public global::Google.Gemini.ToolCall? Type86 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type87 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type87 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type88 { get; set; } + public global::Google.Gemini.ImageSearch? Type88 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type89 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type89 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type90 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type90 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type91 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type91 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type92 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type92 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormat? Type93 { get; set; } + public global::System.Collections.Generic.IList? Type93 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatImageSize? Type94 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type94 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatAspectRatio? Type95 { get; set; } + public global::Google.Gemini.TextResponseFormat? Type95 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatMimeType? Type96 { get; set; } + public global::Google.Gemini.AudioResponseFormat? Type96 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatDelivery? Type97 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type97 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type98 { get; set; } + public global::System.Collections.Generic.IList? Type98 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type99 { get; set; } + public global::Google.Gemini.Corpus? Type99 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type100 { get; set; } + public global::Google.Gemini.CachedContent? Type100 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type101 { get; set; } + public global::Google.Gemini.Content? Type101 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type102 { get; set; } + public global::System.Collections.Generic.IList? Type102 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type103 { get; set; } + public global::System.Collections.Generic.IList? Type103 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type104 { get; set; } + public global::Google.Gemini.Tool? Type104 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type105 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type105 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type106 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type106 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type107 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type107 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type108 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type108 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type109 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type109 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type110 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type110 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type111 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type111 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type112 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type112 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type113 { get; set; } + public global::Google.Gemini.CitationSource? Type113 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type114 { get; set; } + public global::Google.Gemini.Interval? Type114 { get; set; } /// /// /// - public global::Google.Gemini.ResponseFormatConfig? Type115 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type115 { get; set; } /// /// /// - public global::Google.Gemini.TranslationConfig? Type116 { get; set; } + public global::System.Collections.Generic.IList? Type116 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type117 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type117 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type118 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type118 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type119 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type119 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type120 { get; set; } + public global::System.Collections.Generic.IList? Type120 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type121 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type121 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type122 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type122 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type123 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type123 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type124 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type124 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type125 { get; set; } + public global::Google.Gemini.TextResponseFormatMimeType? Type125 { get; set; } /// /// /// - public global::Google.Gemini.TextResponseFormat? Type126 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type126 { get; set; } /// /// /// - public global::Google.Gemini.TextResponseFormatMimeType? Type127 { get; set; } + public global::Google.Gemini.PromptFeedback? Type127 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type128 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type128 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type129 { get; set; } + public global::System.Collections.Generic.IList? Type129 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type130 { get; set; } + public global::Google.Gemini.SafetyRating? Type130 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type131 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type131 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type132 { get; set; } + public global::Google.Gemini.InlinedResponses? Type132 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type133 { get; set; } + public global::System.Collections.Generic.IList? Type133 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type134 { get; set; } + public global::Google.Gemini.InlinedResponse? Type134 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type135 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type135 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type136 { get; set; } + public global::Google.Gemini.Candidate? Type136 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type137 { get; set; } + public global::Google.Gemini.CitationMetadata? Type137 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type138 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type138 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type139 { get; set; } + public global::System.Collections.Generic.IList? Type139 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type140 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type140 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type141 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type141 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type142 { get; set; } + public global::Google.Gemini.RetrievedContext? Type142 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type143 { get; set; } + public global::System.Collections.Generic.IList? Type143 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type144 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type144 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type145 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type145 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type146 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type146 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type147 { get; set; } + public global::System.Collections.Generic.IList? Type147 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type148 { get; set; } + public global::Google.Gemini.GeneratedFile? Type148 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type149 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type149 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseDisabledSafetyPolicie? Type150 { get; set; } + public global::Google.Gemini.Status? Type150 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type151 { get; set; } + public global::System.Collections.Generic.IList? Type151 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type152 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type152 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type153 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type153 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type154 { get; set; } + public global::Google.Gemini.LatLng? Type154 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type155 { get; set; } + public global::Google.Gemini.ModelStatus? Type155 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type156 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type156 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type157 { get; set; } + public global::Google.Gemini.FileState? Type157 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type158 { get; set; } + public global::Google.Gemini.FileSource? Type158 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type159 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type159 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type160 { get; set; } + public global::System.Collections.Generic.IList? Type160 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type161 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type161 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type162 { get; set; } + public global::Google.Gemini.BatchStats? Type162 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type163 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type163 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type164 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type164 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type165 { get; set; } + public global::System.Collections.Generic.IList? Type165 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type166 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type166 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type167 { get; set; } + public global::Google.Gemini.PermissionRole? Type167 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type168 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type168 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type169 { get; set; } + public global::Google.Gemini.FileSearch? Type169 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type170 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type170 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type171 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type171 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type172 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type172 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type173 { get; set; } + public global::Google.Gemini.GoogleMaps? Type173 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type174 { get; set; } + public global::Google.Gemini.AudioResponseFormatMimeType? Type174 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type175 { get; set; } + public global::Google.Gemini.AudioResponseFormatDelivery? Type175 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type176 { get; set; } + public global::Google.Gemini.Maps? Type176 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type177 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type177 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type178 { get; set; } + public global::Google.Gemini.Operation? Type178 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type179 { get; set; } + public global::Google.Gemini.StringList? Type179 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type180 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type180 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type181 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type181 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type182 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type182 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type183 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type183 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type184 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type184 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type185 { get; set; } + public global::System.Collections.Generic.IList? Type185 { get; set; } /// /// /// @@ -776,439 +776,439 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type187 { get; set; } + public global::Google.Gemini.DocumentState? Type187 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormat? Type188 { get; set; } + public global::Google.Gemini.GoogleSearch? Type188 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormatMimeType? Type189 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type189 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormatDelivery? Type190 { get; set; } + public global::Google.Gemini.UrlContext? Type190 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type191 { get; set; } + public global::System.Collections.Generic.IList? 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.Model? Type193 { get; set; } + public global::Google.Gemini.McpServer? Type193 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type194 { get; set; } + public global::Google.Gemini.SearchTypes? Type194 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type195 { get; set; } + public global::Google.Gemini.WebSearch? Type195 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type196 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type196 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type197 { get; set; } + public global::Google.Gemini.VoiceConfig? Type197 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type198 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type198 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type199 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type199 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type200 { get; set; } + public global::Google.Gemini.Empty? Type200 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type201 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type201 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type202 { get; set; } + public global::Google.Gemini.TunedModel? Type202 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type203 { get; set; } + public global::Google.Gemini.TunedModelSource? Type203 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type204 { get; set; } + public global::Google.Gemini.TunedModelState? Type204 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type205 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type205 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type206 { get; set; } + public global::System.Collections.Generic.IList? Type206 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type207 { get; set; } + public global::System.Collections.Generic.IList? Type207 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type208 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type208 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type209 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type209 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type210 { get; set; } + public global::System.Collections.Generic.IList? Type210 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type211 { get; set; } + public global::System.Collections.Generic.IList? Type211 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type212 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type212 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type213 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type213 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type214 { get; set; } + public global::Google.Gemini.Web? Type214 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type215 { get; set; } + public global::Google.Gemini.Model? Type215 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type216 { get; set; } + public global::Google.Gemini.GroundingChunk? Type216 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type217 { get; set; } + public global::Google.Gemini.Image? Type217 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type218 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type218 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type219 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type219 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type220 { get; set; } + public global::System.Collections.Generic.IList? Type220 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type221 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? 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.BatchEmbedContentsRequest? Type223 { get; set; } + public global::Google.Gemini.SafetySetting? Type223 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type224 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type224 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type225 { get; set; } + public global::Google.Gemini.UsageMetadata? Type225 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type226 { get; set; } + public global::Google.Gemini.UsageMetadataServiceTier? Type226 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type227 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type227 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type228 { get; set; } + public global::Google.Gemini.InputConfig? Type228 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type229 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type229 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type230 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type230 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type231 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type231 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type232 { get; set; } + public global::System.Collections.Generic.IList? Type232 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type233 { get; set; } + public global::System.Collections.Generic.IList? Type233 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type234 { get; set; } + public global::System.Collections.Generic.IList? Type234 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type235 { get; set; } + public global::System.Collections.Generic.IList? Type235 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type236 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type236 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type237 { get; set; } + public global::System.Collections.Generic.IList? Type237 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type238 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type238 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type239 { get; set; } + public global::System.Collections.Generic.IList? Type239 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type240 { get; set; } + public global::System.Collections.Generic.Dictionary? Type240 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type241 { get; set; } + public global::System.Collections.Generic.IList? Type241 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type242 { get; set; } + public global::Google.Gemini.SchemaType? Type242 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type243 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type243 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type244 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type244 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type245 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type245 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type246 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type246 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type247 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type247 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type248 { get; set; } + public global::System.Collections.Generic.IList? Type248 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type249 { get; set; } + public global::System.Collections.Generic.IList? Type249 { 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; } /// /// /// - public global::System.Collections.Generic.List? ListType45 { get; set; } + public global::System.Collections.Generic.List? ListType45 { get; set; } } } \ No newline at end of file diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs index 7c0d35d4..fac6fb8f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs @@ -15,13 +15,6 @@ public sealed partial class AudioResponseFormat [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter))] public global::Google.Gemini.AudioResponseFormatMimeType? MimeType { get; set; } - /// - /// Optional. The delivery mode for the audio output. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("delivery")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter))] - public global::Google.Gemini.AudioResponseFormatDelivery? Delivery { get; set; } - /// /// Optional. Sample rate in Hz. /// @@ -34,6 +27,13 @@ public sealed partial class AudioResponseFormat [global::System.Text.Json.Serialization.JsonPropertyName("bitRate")] public int? BitRate { get; set; } + /// + /// Optional. The delivery mode for the audio output. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("delivery")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter))] + public global::Google.Gemini.AudioResponseFormatDelivery? Delivery { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -46,28 +46,28 @@ public sealed partial class AudioResponseFormat /// /// Optional. The MIME type of the audio output. /// - /// - /// Optional. The delivery mode for the audio output. - /// /// /// Optional. Sample rate in Hz. /// /// /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). /// + /// + /// Optional. The delivery mode for the audio output. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public AudioResponseFormat( global::Google.Gemini.AudioResponseFormatMimeType? mimeType, - global::Google.Gemini.AudioResponseFormatDelivery? delivery, int? sampleRate, - int? bitRate) + int? bitRate, + global::Google.Gemini.AudioResponseFormatDelivery? delivery) { this.MimeType = mimeType; - this.Delivery = delivery; this.SampleRate = sampleRate; this.BitRate = bitRate; + this.Delivery = delivery; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs index 7db4b5ba..1bd6145a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class BatchEmbedContentsResponse { - /// - /// Metadata on the usage of the embedding request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.EmbeddingUsageMetadata? UsageMetadata { get; set; } - /// /// Output only. The embeddings for each request, in the same order as provided in the batch request.
/// Included only in responses @@ -21,6 +15,12 @@ public sealed partial class BatchEmbedContentsResponse [global::System.Text.Json.Serialization.JsonPropertyName("embeddings")] public global::System.Collections.Generic.IList? Embeddings { get; set; } + /// + /// Metadata on the usage of the embedding request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.EmbeddingUsageMetadata? UsageMetadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class BatchEmbedContentsResponse /// /// Initializes a new instance of the class. /// - /// - /// Metadata on the usage of the embedding request. - /// /// /// Output only. The embeddings for each request, in the same order as provided in the batch request.
/// Included only in responses /// + /// + /// Metadata on the usage of the embedding request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchEmbedContentsResponse( - global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata, - global::System.Collections.Generic.IList? embeddings) + global::System.Collections.Generic.IList? embeddings, + global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata) { - this.UsageMetadata = usageMetadata; this.Embeddings = embeddings; + this.UsageMetadata = usageMetadata; } /// 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 553a7181..f2b3d072 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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class BatchStats { - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } - /// /// Output only. The number of requests in the batch.
/// Included only in responses @@ -36,6 +29,13 @@ public sealed partial class BatchStats [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] public string? PendingRequestCount { get; set; } + /// + /// Output only. The number of requests that failed to be processed.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -45,10 +45,6 @@ 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 in the batch.
/// Included only in responses @@ -61,19 +57,23 @@ public sealed partial class BatchStats /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// + /// + /// Output only. The number of requests that failed to be processed.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( - string? failedRequestCount, string? requestCount, string? successfulRequestCount, - string? pendingRequestCount) + string? pendingRequestCount, + string? failedRequestCount) { - this.FailedRequestCount = failedRequestCount; this.RequestCount = requestCount; this.SuccessfulRequestCount = successfulRequestCount; this.PendingRequestCount = pendingRequestCount; + 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 de62a1d4..94cf3f10 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 @@ -14,13 +14,6 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] public string? ExpireTime { get; set; } - /// - /// Output only. Creation time of the cache entry.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -28,10 +21,10 @@ public sealed partial class CachedContent public global::Google.Gemini.Content? SystemInstruction { get; set; } /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. @@ -39,6 +32,18 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + /// + /// Metadata on the usage of the cached content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + /// /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
/// Included only in responses @@ -46,12 +51,6 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } - /// - /// Input only. New TTL for this resource, input only. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { get; set; } - /// /// Optional. Input only. Immutable. The content to cache. /// @@ -59,29 +58,30 @@ public sealed partial class CachedContent public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// Output only. When the cache entry was last updated in UTC time.
+ /// Output only. Creation time of the cache entry.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// Input only. New TTL for this resource, input only. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] + public string? Ttl { get; set; } /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// - /// Metadata on the usage of the cached content. + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -95,71 +95,71 @@ public sealed partial class CachedContent /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Output only. Creation time of the cache entry.
- /// Included only in responses - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// /// /// 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. - /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Output only. When the cache entry was last updated in UTC time.
+ /// + /// Output only. Creation time of the cache entry.
/// Included only in responses /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Input only. New TTL for this resource, input only. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Metadata on the usage of the cached content. + /// + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( string? expireTime, - string? createTime, global::Google.Gemini.Content? systemInstruction, - global::System.Collections.Generic.IList? tools, + string? model, global::Google.Gemini.ToolConfig? toolConfig, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, + string? displayName, string? name, - string? ttl, global::System.Collections.Generic.IList? contents, - string? updateTime, - string? model, - string? displayName, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata) + string? createTime, + string? ttl, + global::System.Collections.Generic.IList? tools, + string? updateTime) { this.ExpireTime = expireTime; - this.CreateTime = createTime; this.SystemInstruction = systemInstruction; - this.Tools = tools; + this.Model = model; this.ToolConfig = toolConfig; + this.UsageMetadata = usageMetadata; + this.DisplayName = displayName; this.Name = name; - this.Ttl = ttl; this.Contents = contents; + this.CreateTime = createTime; + this.Ttl = ttl; + this.Tools = tools; this.UpdateTime = updateTime; - this.Model = model; - this.DisplayName = displayName; - this.UsageMetadata = usageMetadata; } /// 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 77c84158..6a500019 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs @@ -9,50 +9,36 @@ namespace Google.Gemini public sealed partial class Candidate { /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } - - /// - /// Output only. Token count for this candidate.
+ /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] - public int? TokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses + /// Logprobs Result /// - [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] - public double? AvgLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] + public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } /// - /// 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; } /// - /// Logprobs Result + /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] - public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Output only. Index of the candidate in the list of response candidates.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] - public string? FinishMessage { get; set; } - - /// - /// A collection of source attributions for a piece of content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] - public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("index")] + public int? Index { 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. @@ -61,11 +47,17 @@ public sealed partial class Candidate public global::Google.Gemini.Content? Content { get; set; } /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// Metadata returned to client when grounding is enabled. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] + public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } + + /// + /// Output only. Average log probability score of the candidate.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] - public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] + public double? AvgLogprobs { get; set; } /// /// Metadata related to url context retrieval tool. @@ -74,10 +66,18 @@ public sealed partial class Candidate public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// Output only. Token count for this candidate.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] + public int? TokenCount { get; set; } + + /// + /// Output only. 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("groundingAttributions")] + public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } /// /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
@@ -96,43 +96,43 @@ public sealed partial class Candidate /// /// Initializes a new instance of the class. /// - /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses - /// - /// - /// Output only. Token count for this candidate.
- /// Included only in responses - /// - /// - /// Output only. Average log probability score of the candidate.
+ /// + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
/// Included only in responses /// - /// - /// Metadata returned to client when grounding is enabled. - /// /// /// Logprobs Result /// - /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
- /// Included only in responses - /// /// /// A collection of source attributions for a piece of content. /// + /// + /// 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 + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// + /// Metadata returned to client when grounding is enabled. + /// + /// + /// Output only. Average log probability score of the candidate.
/// Included only in responses /// /// /// Metadata related to url context retrieval tool. /// - /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// + /// Output only. Token count for this candidate.
+ /// 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 /// /// /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
@@ -142,30 +142,30 @@ public sealed partial class Candidate [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( - int? index, - int? tokenCount, - double? avgLogprobs, - global::Google.Gemini.GroundingMetadata? groundingMetadata, - global::Google.Gemini.LogprobsResult? logprobsResult, string? finishMessage, + global::Google.Gemini.LogprobsResult? logprobsResult, global::Google.Gemini.CitationMetadata? citationMetadata, + global::System.Collections.Generic.IList? safetyRatings, + int? index, global::Google.Gemini.Content? content, - global::System.Collections.Generic.IList? groundingAttributions, + global::Google.Gemini.GroundingMetadata? groundingMetadata, + double? avgLogprobs, global::Google.Gemini.UrlContextMetadata? urlContextMetadata, - global::System.Collections.Generic.IList? safetyRatings, + int? tokenCount, + global::System.Collections.Generic.IList? groundingAttributions, global::Google.Gemini.CandidateFinishReason? finishReason) { - this.Index = index; - this.TokenCount = tokenCount; - this.AvgLogprobs = avgLogprobs; - this.GroundingMetadata = groundingMetadata; - this.LogprobsResult = logprobsResult; this.FinishMessage = finishMessage; + this.LogprobsResult = logprobsResult; this.CitationMetadata = citationMetadata; + this.SafetyRatings = safetyRatings; + this.Index = index; this.Content = content; - this.GroundingAttributions = groundingAttributions; + this.GroundingMetadata = groundingMetadata; + this.AvgLogprobs = avgLogprobs; this.UrlContextMetadata = urlContextMetadata; - this.SafetyRatings = safetyRatings; + this.TokenCount = tokenCount; + this.GroundingAttributions = groundingAttributions; this.FinishReason = finishReason; } 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 38c4e4b1..bcd94f07 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class CitationSource { + /// + /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("license")] + public string? License { get; set; } + /// /// Optional. End of the attributed segment, exclusive. /// @@ -26,12 +32,6 @@ public sealed partial class CitationSource [global::System.Text.Json.Serialization.JsonPropertyName("uri")] public string? Uri { get; set; } - /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("license")] - public string? License { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,6 +41,9 @@ public sealed partial class CitationSource /// /// Initializes a new instance of the class. /// + /// + /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. + /// /// /// Optional. End of the attributed segment, exclusive. /// @@ -50,22 +53,19 @@ public sealed partial class CitationSource /// /// Optional. URI that is attributed as a source for a portion of the text. /// - /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( + string? license, int? endIndex, int? startIndex, - string? uri, - string? license) + string? uri) { + this.License = license; this.EndIndex = endIndex; this.StartIndex = startIndex; this.Uri = uri; - this.License = license; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs index 75d57581..11556e1a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class CodeExecutionResult { + /// + /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Required. Outcome of the code execution. /// @@ -15,12 +21,6 @@ public sealed partial class CodeExecutionResult [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter))] public global::Google.Gemini.CodeExecutionResultOutcome? Outcome { get; set; } - /// - /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. /// @@ -36,12 +36,12 @@ public sealed partial class CodeExecutionResult /// /// Initializes a new instance of the class. /// - /// - /// Required. Outcome of the code execution. - /// /// /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. /// + /// + /// Required. Outcome of the code execution. + /// /// /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. /// @@ -49,12 +49,12 @@ public sealed partial class CodeExecutionResult [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CodeExecutionResult( - global::Google.Gemini.CodeExecutionResultOutcome? outcome, string? id, + global::Google.Gemini.CodeExecutionResultOutcome? outcome, string? output) { - this.Outcome = outcome; this.Id = id; + this.Outcome = outcome; this.Output = output; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs index 4760bc65..29d4a72b 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. Whether enable the prompt injection detection check on computer-use request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("enablePromptInjectionDetection")] + public bool? EnablePromptInjectionDetection { 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. Whether enable the prompt injection detection check on computer-use request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("enablePromptInjectionDetection")] - public bool? EnablePromptInjectionDetection { 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. /// @@ -42,12 +42,12 @@ public sealed partial class ComputerUse /// /// Initializes a new instance of the class. /// - /// - /// Required. The environment being operated. - /// /// /// Optional. Whether enable the prompt injection detection check on computer-use request. /// + /// + /// 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. /// @@ -58,13 +58,13 @@ public sealed partial class ComputerUse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ComputerUse( - global::Google.Gemini.ComputerUseEnvironment? environment, bool? enablePromptInjectionDetection, + global::Google.Gemini.ComputerUseEnvironment? environment, global::System.Collections.Generic.IList? excludedPredefinedFunctions, global::System.Collections.Generic.IList? disabledSafetyPolicies) { - this.Environment = environment; this.EnablePromptInjectionDetection = enablePromptInjectionDetection; + this.Environment = environment; this.ExcludedPredefinedFunctions = excludedPredefinedFunctions; this.DisabledSafetyPolicies = disabledSafetyPolicies; } 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 93034ab5..ac6c974b 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 @@ -22,18 +22,18 @@ public sealed partial class Corpus public string? DisplayName { get; set; } /// - /// Output only. The Timestamp of when the `Corpus` was last updated.
+ /// Output only. The Timestamp of when the `Corpus` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -51,27 +51,27 @@ 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" /// - /// - /// Output only. The Timestamp of when the `Corpus` was last updated.
- /// Included only in responses - /// /// /// Output only. The Timestamp of when the `Corpus` was created.
/// Included only in responses /// + /// + /// Output only. The Timestamp of when the `Corpus` was last updated.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( string? name, string? displayName, - string? updateTime, - string? createTime) + string? createTime, + string? updateTime) { this.Name = name; this.DisplayName = displayName; - this.UpdateTime = updateTime; this.CreateTime = createTime; + this.UpdateTime = updateTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs index 5bba25f6..def5d1e7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs @@ -9,17 +9,10 @@ namespace Google.Gemini public sealed partial class CountTokensResponse { /// - /// Output only. List of modalities that were processed in the cached content.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } - - /// - /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// Number of tokens in the cached part of the prompt (the cached content). /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] - public int? TotalTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// /// Output only. List of modalities that were processed in the request input.
@@ -29,10 +22,17 @@ public sealed partial class CountTokensResponse public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// Number of tokens in the cached part of the prompt (the cached content). + /// Output only. List of modalities that were processed in the cached content.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + + /// + /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] + public int? TotalTokens { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -43,6 +43,13 @@ public sealed partial class CountTokensResponse /// /// Initializes a new instance of the class. /// + /// + /// Number of tokens in the cached part of the prompt (the cached content). + /// + /// + /// Output only. List of modalities that were processed in the request input.
+ /// Included only in responses + /// /// /// Output only. List of modalities that were processed in the cached content.
/// Included only in responses @@ -50,26 +57,19 @@ public sealed partial class CountTokensResponse /// /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. /// - /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses - /// - /// - /// 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( - global::System.Collections.Generic.IList? cacheTokensDetails, - int? totalTokens, + int? cachedContentTokenCount, global::System.Collections.Generic.IList? promptTokensDetails, - int? cachedContentTokenCount) + global::System.Collections.Generic.IList? cacheTokensDetails, + int? totalTokens) { + this.CachedContentTokenCount = cachedContentTokenCount; + this.PromptTokensDetails = promptTokensDetails; this.CacheTokensDetails = cacheTokensDetails; this.TotalTokens = totalTokens; - this.PromptTokensDetails = promptTokensDetails; - 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 fe20cee5..6891c44b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class CustomLongRunningOperation { /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } - - /// - /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? 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). @@ -26,6 +20,12 @@ public sealed partial class CustomLongRunningOperation [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`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } + /// /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// @@ -33,10 +33,10 @@ public sealed partial class CustomLongRunningOperation public string? Name { get; set; } /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } /// /// 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 normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// /// /// 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 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, + object? metadata, global::Google.Gemini.Status? error, + object? response, string? name, - object? metadata) + bool? done) { - this.Done = done; - this.Response = response; + this.Metadata = metadata; 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 71d22575..d3848661 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class CustomMetadata { - /// - /// The string value of the metadata to store. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] - public string? StringValue { get; set; } - /// /// User provided string values assigned to a single metadata key. /// @@ -32,6 +26,12 @@ public sealed partial class CustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("key")] public string? Key { get; set; } + /// + /// The string value of the metadata to store. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] + public string? StringValue { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,9 +41,6 @@ public sealed partial class CustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// The string value of the metadata to store. - /// /// /// User provided string values assigned to a single metadata key. /// @@ -53,19 +50,22 @@ public sealed partial class CustomMetadata /// /// Required. The key of the metadata to store. /// + /// + /// The string value of the metadata to store. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( - string? stringValue, global::Google.Gemini.StringList? stringListValue, float? numericValue, - string? key) + string? key, + string? stringValue) { - this.StringValue = stringValue; this.StringListValue = stringListValue; this.NumericValue = numericValue; this.Key = key; + this.StringValue = stringValue; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs index 88bc1596..87cef2a2 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Document { - /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - /// /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. /// @@ -27,6 +21,19 @@ public sealed partial class Document [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] public string? SizeBytes { get; set; } + /// + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Output only. The Timestamp of when the `Document` was last updated.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + /// /// Output only. The mime type of the Document.
/// Included only in responses @@ -41,11 +48,11 @@ public sealed partial class Document public string? Name { get; set; } /// - /// Output only. The Timestamp of when the `Document` was last updated.
+ /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Output only. Current state of the `Document`.
@@ -55,13 +62,6 @@ public sealed partial class Document [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter))] public global::Google.Gemini.DocumentState? State { get; set; } - /// - /// Output only. The Timestamp of when the `Document` was created.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -71,9 +71,6 @@ public sealed partial class Document /// /// Initializes a new instance of the class. /// - /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" - /// /// /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. /// @@ -81,6 +78,13 @@ public sealed partial class Document /// Output only. The size of raw bytes ingested into the Document.
/// Included only in responses /// + /// + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// + /// + /// Output only. The Timestamp of when the `Document` was last updated.
+ /// Included only in responses + /// /// /// Output only. The mime type of the Document.
/// Included only in responses @@ -88,39 +92,35 @@ 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 last updated.
+ /// + /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// /// /// Output only. Current state of the `Document`.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `Document` was created.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - string? displayName, global::System.Collections.Generic.IList? customMetadata, string? sizeBytes, + string? displayName, + string? updateTime, string? mimeType, string? name, - string? updateTime, - global::Google.Gemini.DocumentState? state, - string? createTime) + string? createTime, + global::Google.Gemini.DocumentState? state) { - this.DisplayName = displayName; this.CustomMetadata = customMetadata; this.SizeBytes = sizeBytes; + this.DisplayName = displayName; + this.UpdateTime = updateTime; this.MimeType = mimeType; this.Name = name; - this.UpdateTime = updateTime; - this.State = state; this.CreateTime = createTime; + this.State = state; } /// 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 c5176056..18d7176e 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 08e676a2..0a95f49e 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 @@ -9,12 +9,11 @@ namespace Google.Gemini public sealed partial class EmbedContentBatch { /// - /// Output only. The state of the batch.
+ /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] - public global::Google.Gemini.EmbedContentBatchState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Output only. The time at which the batch was created.
@@ -23,13 +22,6 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { get; set; } - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } - /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// @@ -37,23 +29,11 @@ public sealed partial class EmbedContentBatch public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } /// - /// Stats about the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } - - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } - - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Configures the input to the batch request. @@ -62,17 +42,19 @@ public sealed partial class EmbedContentBatch public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// Output only. The state of the batch.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] + public global::Google.Gemini.EmbedContentBatchState? State { get; set; } /// - /// Output only. The time at which the batch was last updated.
+ /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// /// Required. The user-defined name of this batch. @@ -80,6 +62,24 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Stats about the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } + + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } + + /// + /// 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -89,71 +89,71 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Output only. The state of the batch.
+ /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses - /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - /// - /// Stats about the batch. - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// + /// Output only. The time at which the batch was last updated.
/// Included only in responses /// /// /// Configures the input to the batch request. /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// Output only. The state of the batch.
+ /// Included only in responses /// - /// - /// Output only. The time at which the batch was last updated.
+ /// + /// Output only. The time at which the batch processing completed.
/// Included only in responses /// /// /// Required. The user-defined name of this batch. /// + /// + /// Stats about the batch. + /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( - global::Google.Gemini.EmbedContentBatchState? state, + string? name, string? createTime, - string? endTime, global::Google.Gemini.EmbedContentBatchOutput? output, - global::Google.Gemini.EmbedContentBatchStats? batchStats, - string? model, - string? name, + string? updateTime, global::Google.Gemini.InputEmbedContentConfig? inputConfig, + global::Google.Gemini.EmbedContentBatchState? state, + string? endTime, + string? displayName, + global::Google.Gemini.EmbedContentBatchStats? batchStats, string? priority, - string? updateTime, - string? displayName) + string? model) { - this.State = state; + this.Name = name; this.CreateTime = createTime; - this.EndTime = endTime; this.Output = output; - this.BatchStats = batchStats; - this.Model = model; - this.Name = name; - this.InputConfig = inputConfig; - this.Priority = priority; this.UpdateTime = updateTime; + this.InputConfig = inputConfig; + this.State = state; + this.EndTime = endTime; this.DisplayName = displayName; + this.BatchStats = batchStats; + this.Priority = priority; + this.Model = model; } /// 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 b427ede3..74d60b10 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 @@ -8,18 +8,6 @@ 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. 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. /// @@ -33,18 +21,30 @@ public sealed partial class EmbedContentConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter))] public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } - /// - /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - public int? OutputDimensionality { get; set; } - /// /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] public bool? AutoTruncate { get; set; } + /// + /// Optional. Whether to extract audio from video content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] + public bool? AudioTrackExtraction { get; set; } + + /// + /// Optional. Whether to enable OCR for document content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] + public bool? DocumentOcr { get; set; } + + /// + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + public int? OutputDimensionality { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -54,41 +54,41 @@ public sealed partial class EmbedContentConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. Whether to enable OCR for document content. - /// - /// - /// Optional. Whether to extract audio from video content. - /// /// /// Optional. The title for the text. /// /// /// Optional. The task type of the embedding. /// - /// - /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. - /// /// /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// + /// + /// Optional. Whether to extract audio from video content. + /// + /// + /// Optional. Whether to enable OCR for document content. + /// + /// + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentConfig( - bool? documentOcr, - bool? audioTrackExtraction, string? title, global::Google.Gemini.EmbedContentConfigTaskType? taskType, - int? outputDimensionality, - bool? autoTruncate) + bool? autoTruncate, + bool? audioTrackExtraction, + bool? documentOcr, + int? outputDimensionality) { - this.DocumentOcr = documentOcr; - this.AudioTrackExtraction = audioTrackExtraction; this.Title = title; this.TaskType = taskType; - this.OutputDimensionality = outputDimensionality; this.AutoTruncate = autoTruncate; + this.AudioTrackExtraction = audioTrackExtraction; + this.DocumentOcr = documentOcr; + this.OutputDimensionality = outputDimensionality; } /// 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 d56eec99..6c2bd1eb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs @@ -10,26 +10,6 @@ namespace Google.Gemini /// public sealed partial class EmbedContentRequest { - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } - - /// - /// Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - [global::System.Obsolete("This property marked as deprecated.")] - public string? Title { get; set; } - - /// - /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - [global::System.Obsolete("This property marked as deprecated.")] - public int? OutputDimensionality { get; set; } - /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -44,12 +24,32 @@ public sealed partial class EmbedContentRequest [global::System.Obsolete("This property marked as deprecated.")] public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } + /// + /// Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + [global::System.Obsolete("This property marked as deprecated.")] + public string? Title { get; set; } + /// /// Configurations for the EmbedContent request. /// [global::System.Text.Json.Serialization.JsonPropertyName("embedContentConfig")] public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { get; set; } + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } + + /// + /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + [global::System.Obsolete("This property marked as deprecated.")] + public int? OutputDimensionality { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -59,26 +59,26 @@ public sealed partial class EmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Configurations for the EmbedContent request. /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentRequest( - string? model, global::Google.Gemini.Content? content, - global::Google.Gemini.EmbedContentConfig? embedContentConfig) + global::Google.Gemini.EmbedContentConfig? embedContentConfig, + string? model) { - this.Model = model; this.Content = content; this.EmbedContentConfig = embedContentConfig; + this.Model = model; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs index 6b1b3f35..ced79a0c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class EmbedContentResponse { - /// - /// A list of floats representing an embedding. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("embedding")] - public global::Google.Gemini.ContentEmbedding? Embedding { get; set; } - /// /// Metadata on the usage of the embedding request. /// [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] public global::Google.Gemini.EmbeddingUsageMetadata? UsageMetadata { get; set; } + /// + /// A list of floats representing an embedding. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("embedding")] + public global::Google.Gemini.ContentEmbedding? Embedding { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class EmbedContentResponse /// /// Initializes a new instance of the class. /// - /// - /// A list of floats representing an embedding. - /// /// /// Metadata on the usage of the embedding request. /// + /// + /// A list of floats representing an embedding. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentResponse( - global::Google.Gemini.ContentEmbedding? embedding, - global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata) + global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata, + global::Google.Gemini.ContentEmbedding? embedding) { - this.Embedding = embedding; this.UsageMetadata = usageMetadata; + this.Embedding = embedding; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs index 9b37be1c..358665ad 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ExecutableCode { - /// - /// Required. The code to be executed. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("code")] - public string? Code { get; set; } - /// /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. /// @@ -27,6 +21,12 @@ public sealed partial class ExecutableCode [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter))] public global::Google.Gemini.ExecutableCodeLanguage? Language { get; set; } + /// + /// Required. The code to be executed. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("code")] + public string? Code { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ExecutableCode /// /// Initializes a new instance of the class. /// - /// - /// Required. The code to be executed. - /// /// /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. /// /// /// Required. Programming language of the `code`. /// + /// + /// Required. The code to be executed. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ExecutableCode( - string? code, string? id, - global::Google.Gemini.ExecutableCodeLanguage? language) + global::Google.Gemini.ExecutableCodeLanguage? language, + string? code) { - this.Code = code; this.Id = id; this.Language = language; + this.Code = code; } /// 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 90b7a91b..b4a94914 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 @@ -9,17 +9,17 @@ namespace Google.Gemini public sealed partial class File { /// - /// Output only. The download uri of the `File`.
+ /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] - public string? DownloadUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { 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). + /// 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("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Output only. MIME type of the file.
@@ -29,38 +29,32 @@ public sealed partial class File public string? MimeType { get; set; } /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
- /// Included only in responses + /// Metadata for a video `File`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Output only. Size of the file in bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] - public byte[]? Sha256Hash { get; set; } - - /// - /// Metadata for a video `File`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// Output only. The download uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { get; set; } /// - /// Output only. Size of the file in bytes.
+ /// Output only. Processing state of the File.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] + public global::Google.Gemini.FileState? State { get; set; } /// /// Output only. The uri of the `File`.
@@ -77,12 +71,11 @@ public sealed partial class File public global::Google.Gemini.FileSource? Source { get; set; } /// - /// Output only. Processing state of the File.
+ /// Output only. SHA-256 hash of the uploaded bytes.
/// 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("sha256Hash")] + public byte[]? Sha256Hash { get; set; } /// /// Output only. The timestamp of when the `File` was created.
@@ -98,10 +91,17 @@ public sealed partial class File public string? DisplayName { 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` + /// 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("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } + + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -112,36 +112,32 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// - /// - /// Output only. The download uri of the `File`.
+ /// + /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` /// /// /// Output only. MIME type of the file.
/// Included only in responses /// - /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
- /// Included only in responses - /// - /// - /// Output only. SHA-256 hash of the uploaded bytes.
- /// Included only in responses - /// /// /// Metadata for a video `File`. /// - /// - /// Output only. The timestamp of when the `File` was last updated.
- /// Included only in responses - /// /// /// Output only. Size of the file in bytes.
/// Included only in responses /// + /// + /// Output only. The download uri of the `File`.
+ /// Included only in responses + /// + /// + /// Output only. Processing state of the File.
+ /// Included only in responses + /// /// /// Output only. The uri of the `File`.
/// Included only in responses @@ -149,8 +145,8 @@ public sealed partial class File /// /// Source of the File. /// - /// - /// Output only. Processing state of the File.
+ /// + /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// /// @@ -160,42 +156,46 @@ public sealed partial class 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" /// - /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// + /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// 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 File( - string? downloadUri, - global::Google.Gemini.Status? error, + string? updateTime, + string? name, string? mimeType, - string? expirationTime, - byte[]? sha256Hash, global::Google.Gemini.VideoFileMetadata? videoMetadata, - string? updateTime, string? sizeBytes, + string? downloadUri, + global::Google.Gemini.FileState? state, string? uri, global::Google.Gemini.FileSource? source, - global::Google.Gemini.FileState? state, + byte[]? sha256Hash, string? createTime, string? displayName, - string? name) + string? expirationTime, + global::Google.Gemini.Status? error) { - this.DownloadUri = downloadUri; - this.Error = error; + this.UpdateTime = updateTime; + this.Name = name; this.MimeType = mimeType; - this.ExpirationTime = expirationTime; - this.Sha256Hash = sha256Hash; this.VideoMetadata = videoMetadata; - this.UpdateTime = updateTime; this.SizeBytes = sizeBytes; + this.DownloadUri = downloadUri; + this.State = state; this.Uri = uri; this.Source = source; - this.State = state; + this.Sha256Hash = sha256Hash; this.CreateTime = createTime; this.DisplayName = displayName; - this.Name = name; + this.ExpirationTime = expirationTime; + this.Error = error; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs index 60bebf31..9d971733 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FileSearch { - /// - /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] - public string? MetadataFilter { get; set; } - /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// @@ -26,6 +20,12 @@ public sealed partial class FileSearch [global::System.Text.Json.Serialization.JsonPropertyName("topK")] public int? TopK { get; set; } + /// + /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] + public string? MetadataFilter { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FileSearch /// /// Initializes a new instance of the class. /// - /// - /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. - /// /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// /// /// Optional. The number of semantic retrieval chunks to retrieve. /// + /// + /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( - string? metadataFilter, global::System.Collections.Generic.IList? fileSearchStoreNames, - int? topK) + int? topK, + string? metadataFilter) { - this.MetadataFilter = metadataFilter; 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 9d1126f6..a9549502 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs @@ -9,17 +9,11 @@ namespace Google.Gemini public sealed partial class FileSearchStore { /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] + public string? PendingDocumentsCount { get; set; } /// /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
@@ -29,18 +23,18 @@ public sealed partial class FileSearchStore 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 number of documents in the `FileSearchStore` that have failed processing.
+ /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] - public string? FailedDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. @@ -49,25 +43,31 @@ public sealed partial class FileSearchStore public string? EmbeddingModel { get; set; } /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { get; set; } /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// 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("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] + public string? ActiveDocumentsCount { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// 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 size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] - public string? PendingDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -78,63 +78,63 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// /// /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
/// Included only in responses /// - /// - /// Output only. The 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 number of documents in the `FileSearchStore` that have failed processing.
+ /// + /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// /// /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. /// - /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + /// + /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? displayName, - string? updateTime, + string? pendingDocumentsCount, string? name, - string? activeDocumentsCount, - string? failedDocumentsCount, - string? embeddingModel, - string? sizeBytes, string? createTime, - string? pendingDocumentsCount) + string? updateTime, + string? embeddingModel, + string? failedDocumentsCount, + string? activeDocumentsCount, + string? displayName, + string? sizeBytes) { - this.DisplayName = displayName; - this.UpdateTime = updateTime; + this.PendingDocumentsCount = pendingDocumentsCount; this.Name = name; - this.ActiveDocumentsCount = activeDocumentsCount; - this.FailedDocumentsCount = failedDocumentsCount; + this.CreateTime = createTime; + this.UpdateTime = updateTime; this.EmbeddingModel = embeddingModel; + this.FailedDocumentsCount = failedDocumentsCount; + this.ActiveDocumentsCount = activeDocumentsCount; + this.DisplayName = displayName; this.SizeBytes = sizeBytes; - this.CreateTime = createTime; - this.PendingDocumentsCount = pendingDocumentsCount; } /// 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 e2ac4d2d..fe824450 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class FunctionDeclaration { + /// + /// 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("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } + /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// @@ -22,16 +28,16 @@ public sealed partial class FunctionDeclaration public string? Name { get; set; } /// - /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.Schema? Response { get; set; } /// - /// Required. A brief description of the function. + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] + public object? ParametersJsonSchema { get; set; } /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). @@ -40,16 +46,10 @@ public sealed partial class FunctionDeclaration public global::Google.Gemini.Schema? Parameters { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - [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. A brief description of the function. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] - public object? ParametersJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -60,46 +60,46 @@ public sealed partial class FunctionDeclaration /// /// Initializes a new instance of the class. /// + /// + /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. + /// /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// /// /// 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. - /// - /// - /// 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). - /// /// /// 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`. /// + /// + /// 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. A brief description of the function. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( + object? responseJsonSchema, global::Google.Gemini.FunctionDeclarationBehavior? behavior, string? name, - object? responseJsonSchema, - string? description, - global::Google.Gemini.Schema? parameters, global::Google.Gemini.Schema? response, - object? parametersJsonSchema) + object? parametersJsonSchema, + global::Google.Gemini.Schema? parameters, + string? description) { + this.ResponseJsonSchema = responseJsonSchema; this.Behavior = behavior; this.Name = name; - this.ResponseJsonSchema = responseJsonSchema; - this.Description = description; - this.Parameters = parameters; this.Response = response; this.ParametersJsonSchema = parametersJsonSchema; + this.Parameters = parameters; + this.Description = description; } /// 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 b7fad932..49959a94 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class FunctionResponse { /// - /// 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. Multimedia can be included by using a subobject containing a single "$ref" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal. + /// 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("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } /// /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. @@ -20,6 +20,12 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] public bool? WillContinue { get; set; } + /// + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parts")] + public global::System.Collections.Generic.IList? Parts { get; set; } + /// /// 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. /// @@ -34,16 +40,10 @@ public sealed partial class FunctionResponse public string? Name { get; set; } /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - - /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. Multimedia can be included by using a subobject containing a single "$ref" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parts")] - public global::System.Collections.Generic.IList? Parts { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } /// /// 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. /// - /// - /// 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. Multimedia can be included by using a subobject containing a single "$ref" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal. + /// + /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// /// /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// + /// + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// /// /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// - /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. - /// - /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// + /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. Multimedia can be included by using a subobject containing a single "$ref" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( - object? response, + string? id, bool? willContinue, + global::System.Collections.Generic.IList? parts, global::Google.Gemini.FunctionResponseScheduling? scheduling, string? name, - string? id, - global::System.Collections.Generic.IList? parts) + object? response) { - this.Response = response; + this.Id = id; this.WillContinue = willContinue; + this.Parts = parts; this.Scheduling = scheduling; this.Name = name; - this.Id = id; - this.Parts = parts; + this.Response = response; } /// 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 895a2b15..0f868b23 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 @@ -8,6 +8,19 @@ namespace Google.Gemini /// public sealed partial class GenerateContentBatch { + /// + /// Configures the input to the batch request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputConfig? InputConfig { get; set; } + + /// + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// @@ -15,10 +28,11 @@ public sealed partial class GenerateContentBatch public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } /// - /// Stats about the batch. + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.BatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Output only. The time at which the batch was created.
@@ -28,57 +42,43 @@ public sealed partial class GenerateContentBatch public string? CreateTime { get; set; } /// - /// Output only. The state of the batch.
- /// Included only in responses + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] - public global::Google.Gemini.GenerateContentBatchState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.BatchStats? BatchStats { get; set; } /// - /// Required. The user-defined name of this batch. + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. The time at which the batch was last updated.
+ /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Output only. The state of the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Configures the input to the batch request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputConfig? InputConfig { get; set; } - - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] + public global::Google.Gemini.GenerateContentBatchState? State { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,71 +89,71 @@ public sealed partial class GenerateContentBatch /// /// Initializes a new instance of the class. /// + /// + /// Configures the input to the batch request. + /// + /// + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses + /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - /// - /// Stats about the batch. + /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// Output only. The state of the batch.
- /// Included only in responses + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// + /// Stats about the batch. + /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// /// /// Required. The user-defined name of this batch. /// - /// - /// 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.
+ /// + /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// + /// Output only. The state of the batch.
/// Included only in responses /// - /// - /// Configures the input to the batch request. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( + global::Google.Gemini.InputConfig? inputConfig, + string? updateTime, global::Google.Gemini.GenerateContentBatchOutput? output, - global::Google.Gemini.BatchStats? batchStats, + string? name, string? createTime, - global::Google.Gemini.GenerateContentBatchState? state, - string? endTime, - string? displayName, string? model, - string? updateTime, - string? name, - global::Google.Gemini.InputConfig? inputConfig, - string? priority) + global::Google.Gemini.BatchStats? batchStats, + string? priority, + string? displayName, + string? endTime, + global::Google.Gemini.GenerateContentBatchState? state) { + this.InputConfig = inputConfig; + this.UpdateTime = updateTime; this.Output = output; - this.BatchStats = batchStats; + this.Name = name; this.CreateTime = createTime; - this.State = state; - this.EndTime = endTime; - this.DisplayName = displayName; this.Model = model; - this.UpdateTime = updateTime; - this.Name = name; - this.InputConfig = inputConfig; + this.BatchStats = batchStats; this.Priority = priority; + this.DisplayName = displayName; + this.EndTime = endTime; + 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 0f4639c6..a88a2e5b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs @@ -8,6 +8,12 @@ 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } + /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// @@ -15,10 +21,10 @@ public sealed partial class GenerateContentRequest public string? Model { 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; } /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -33,23 +39,16 @@ public sealed partial class GenerateContentRequest public bool? Store { get; set; } /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] - public global::System.Collections.Generic.IList? SafetySettings { get; set; } - - /// - /// Optional. The service tier of the request. + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - [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("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] + public string? CachedContent { get; set; } /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. @@ -58,16 +57,17 @@ public sealed partial class GenerateContentRequest public global::System.Collections.Generic.IList? Tools { get; set; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] + public global::System.Collections.Generic.IList? SafetySettings { get; set; } /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// Optional. The service tier of the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] - public string? CachedContent { 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; } /// /// Additional properties that are not explicitly defined in the schema @@ -78,11 +78,14 @@ 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}`. /// - /// - /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -90,49 +93,46 @@ public sealed partial class GenerateContentRequest /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. The service tier of the request. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( + global::Google.Gemini.Content? systemInstruction, string? model, - global::System.Collections.Generic.IList? contents, + global::Google.Gemini.ToolConfig? toolConfig, global::Google.Gemini.GenerationConfig? generationConfig, bool? store, - global::System.Collections.Generic.IList? safetySettings, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, - global::Google.Gemini.Content? systemInstruction, + global::System.Collections.Generic.IList? contents, + string? cachedContent, global::System.Collections.Generic.IList? tools, - global::Google.Gemini.ToolConfig? toolConfig, - string? cachedContent) + global::System.Collections.Generic.IList? safetySettings, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier) { + this.SystemInstruction = systemInstruction; this.Model = model; - this.Contents = contents; + this.ToolConfig = toolConfig; this.GenerationConfig = generationConfig; this.Store = store; + this.Contents = contents; + this.CachedContent = cachedContent; + this.Tools = tools; this.SafetySettings = safetySettings; this.ServiceTier = serviceTier; - this.SystemInstruction = systemInstruction; - this.Tools = tools; - this.ToolConfig = toolConfig; - this.CachedContent = cachedContent; } /// 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 ae859228..7cb2bd2a 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 @@ -16,16 +16,17 @@ public sealed partial class GenerateContentResponse public string? ModelVersion { get; set; } /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// Output only. response_id is used to identify each response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] - public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] + public string? ResponseId { get; set; } /// - /// 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; } /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. @@ -34,17 +35,16 @@ public sealed partial class GenerateContentResponse public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } /// - /// Metadata on the generation request's token usage. + /// Candidate responses from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] + public global::System.Collections.Generic.IList? Candidates { get; set; } /// - /// Output only. response_id is used to identify each response.
- /// Included only in responses + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] - public string? ResponseId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] + public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,39 +59,39 @@ public sealed partial class GenerateContentResponse /// Output only. The model version used to generate the response.
/// Included only in responses /// - /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// + /// Output only. response_id is used to identify each response.
+ /// Included only in responses /// - /// - /// Candidate responses from the model. + /// + /// Metadata on the generation request's token usage. /// /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// - /// - /// Metadata on the generation request's token usage. + /// + /// Candidate responses from the model. /// - /// - /// Output only. response_id is used to identify each response.
- /// Included only in responses + /// + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( string? modelVersion, - global::Google.Gemini.ModelStatus? modelStatus, - global::System.Collections.Generic.IList? candidates, - global::Google.Gemini.PromptFeedback? promptFeedback, + string? responseId, global::Google.Gemini.UsageMetadata? usageMetadata, - string? responseId) + global::Google.Gemini.PromptFeedback? promptFeedback, + global::System.Collections.Generic.IList? candidates, + global::Google.Gemini.ModelStatus? modelStatus) { this.ModelVersion = modelVersion; - this.ModelStatus = modelStatus; - this.Candidates = candidates; - this.PromptFeedback = promptFeedback; - this.UsageMetadata = usageMetadata; this.ResponseId = responseId; + this.UsageMetadata = usageMetadata; + this.PromptFeedback = promptFeedback; + this.Candidates = candidates; + 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 6b77252c..f86fe5a7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs @@ -9,10 +9,16 @@ namespace Google.Gemini public sealed partial class GeneratedFile { /// - /// MIME type of the generatedFile. + /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// 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.
@@ -23,16 +29,10 @@ public sealed partial class GeneratedFile 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; } - - /// - /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` + /// MIME type of the generatedFile. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -43,32 +43,32 @@ public sealed partial class GeneratedFile /// /// Initializes a new instance of the class. /// - /// - /// MIME type of the generatedFile. + /// + /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` + /// + /// + /// 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). - /// - /// - /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` + /// + /// MIME type of the generatedFile. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GeneratedFile( - string? mimeType, - global::Google.Gemini.GeneratedFileState? state, + string? name, global::Google.Gemini.Status? error, - string? name) + global::Google.Gemini.GeneratedFileState? state, + string? mimeType) { - this.MimeType = mimeType; - this.State = state; - this.Error = error; this.Name = name; + this.Error = error; + this.State = state; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs index 63d64b79..698a4f92 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 @@ -9,52 +9,46 @@ namespace Google.Gemini public sealed partial class GenerationConfig { /// - /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseFormat")] - public global::Google.Gemini.ResponseFormatConfig? ResponseFormat { 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. An internal detail. Use `responseJsonSchema` rather than this field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] - public global::System.Collections.Generic.IList? StopSequences { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Optional. 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("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] + public int? CandidateCount { 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 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("responseMimeType")] - public string? ResponseMimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Config for image generation features. + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { 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. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. /// - [global::System.Text.Json.Serialization.JsonPropertyName("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] + public float? FrequencyPenalty { get; set; } /// - /// Optional. 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. 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("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Config for translation features. + /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("translationConfig")] - public global::Google.Gemini.TranslationConfig? TranslationConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseFormat")] + public global::Google.Gemini.ResponseFormatConfig? ResponseFormat { get; set; } /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). @@ -63,10 +57,10 @@ public sealed partial class GenerationConfig public global::Google.Gemini.Schema? ResponseSchema { get; set; } /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// Optional. If true, export the logprobs results in response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] + public bool? ResponseLogprobs { get; set; } /// /// Optional. If specified, the media resolution specified will be used. @@ -76,70 +70,76 @@ public sealed partial class GenerationConfig public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { 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. 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 translation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("translationConfig")] + public global::Google.Gemini.TranslationConfig? TranslationConfig { 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. 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("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// Config for speech generation and transcription. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// Optional. 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("presencePenalty")] - public float? PresencePenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] + public int? MaxOutputTokens { get; set; } /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. + /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] - public float? FrequencyPenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] + public global::System.Collections.Generic.IList? StopSequences { get; set; } /// - /// 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. 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. 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("candidateCount")] - public int? CandidateCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] + public string? ResponseMimeType { get; set; } /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// Config for thinking features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] + public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } /// - /// Optional. If true, export the logprobs results in response. + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] - public bool? ResponseLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { get; set; } /// - /// Config for speech generation and transcription. + /// Config for image generation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + + /// + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -150,121 +150,121 @@ public sealed partial class GenerationConfig /// /// Initializes a new instance of the class. /// - /// - /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. + /// + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// - /// - /// 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. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) + /// + /// + /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// /// /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - /// - /// Optional. 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. - /// - /// - /// Config for image generation features. - /// - /// - /// 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. /// - /// - /// 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. 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]. /// - /// - /// Config for translation features. + /// + /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// + /// Optional. If true, export the logprobs results in response. /// /// /// Optional. If specified, the media resolution specified will be used. /// - /// - /// 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. /// - /// - /// 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 translation features. /// - /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// - /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// + /// Config for speech generation and transcription. /// - /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// - /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. + /// + /// 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. 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. /// /// /// Config for thinking 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. 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. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - /// - /// Optional. If true, export the logprobs results in response. + /// + /// Config for image generation features. /// - /// - /// Config for speech generation and transcription. + /// + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - global::Google.Gemini.ResponseFormatConfig? responseFormat, - global::System.Collections.Generic.IList? stopSequences, - int? topK, - string? responseMimeType, - global::Google.Gemini.ImageConfig? imageConfig, - int? seed, - int? maxOutputTokens, - global::Google.Gemini.TranslationConfig? translationConfig, - global::Google.Gemini.Schema? responseSchema, object? responseJsonSchema, - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, - bool? enableEnhancedCivicAnswers, + int? candidateCount, float? topP, - global::System.Collections.Generic.IList? responseModalities, + int? topK, + float? frequencyPenalty, float? temperature, + global::Google.Gemini.ResponseFormatConfig? responseFormat, + global::Google.Gemini.Schema? responseSchema, + bool? responseLogprobs, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, float? presencePenalty, - float? frequencyPenalty, - global::Google.Gemini.ThinkingConfig? thinkingConfig, - int? candidateCount, + global::Google.Gemini.TranslationConfig? translationConfig, int? logprobs, - bool? responseLogprobs, - global::Google.Gemini.SpeechConfig? speechConfig) + global::Google.Gemini.SpeechConfig? speechConfig, + int? maxOutputTokens, + global::System.Collections.Generic.IList? stopSequences, + bool? enableEnhancedCivicAnswers, + string? responseMimeType, + global::Google.Gemini.ThinkingConfig? thinkingConfig, + int? seed, + global::Google.Gemini.ImageConfig? imageConfig, + global::System.Collections.Generic.IList? responseModalities) { - this.ResponseFormat = responseFormat; - this.StopSequences = stopSequences; - this.TopK = topK; - this.ResponseMimeType = responseMimeType; - this.ImageConfig = imageConfig; - this.Seed = seed; - this.MaxOutputTokens = maxOutputTokens; - this.TranslationConfig = translationConfig; - this.ResponseSchema = responseSchema; this.ResponseJsonSchema = responseJsonSchema; - this.MediaResolution = mediaResolution; - this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; + this.CandidateCount = candidateCount; this.TopP = topP; - this.ResponseModalities = responseModalities; + this.TopK = topK; + this.FrequencyPenalty = frequencyPenalty; this.Temperature = temperature; + this.ResponseFormat = responseFormat; + this.ResponseSchema = responseSchema; + this.ResponseLogprobs = responseLogprobs; + this.MediaResolution = mediaResolution; this.PresencePenalty = presencePenalty; - this.FrequencyPenalty = frequencyPenalty; - this.ThinkingConfig = thinkingConfig; - this.CandidateCount = candidateCount; + this.TranslationConfig = translationConfig; this.Logprobs = logprobs; - this.ResponseLogprobs = responseLogprobs; this.SpeechConfig = speechConfig; + this.MaxOutputTokens = maxOutputTokens; + this.StopSequences = stopSequences; + this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; + this.ResponseMimeType = responseMimeType; + this.ThinkingConfig = thinkingConfig; + this.Seed = seed; + this.ImageConfig = imageConfig; + this.ResponseModalities = responseModalities; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs index 10048093..40fb6998 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport { /// - /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). + /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] - public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] + public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } /// /// Segment of the content. @@ -21,10 +21,10 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { get; set; } /// - /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. + /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). /// - [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] - public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] + public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } /// /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
@@ -42,14 +42,14 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Initializes a new instance of the class. /// - /// - /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). + /// + /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// /// /// Segment of the content. /// - /// - /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. + /// + /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). /// /// /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
@@ -59,14 +59,14 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( - global::System.Collections.Generic.IList? groundingChunkIndices, - global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, global::System.Collections.Generic.IList? confidenceScores, + global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, + global::System.Collections.Generic.IList? groundingChunkIndices, global::System.Collections.Generic.IList? renderedParts) { - this.GroundingChunkIndices = groundingChunkIndices; - this.Segment = segment; this.ConfidenceScores = confidenceScores; + this.Segment = segment; + this.GroundingChunkIndices = groundingChunkIndices; this.RenderedParts = renderedParts; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs index b3feedae..eb519ebe 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs @@ -8,18 +8,18 @@ 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. /// [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; } + /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// @@ -41,12 +41,12 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// Initializes a new instance of the class. /// - /// - /// The index of a Part object within its parent Content object. - /// /// /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. /// + /// + /// The index of a Part object within its parent Content object. + /// /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// @@ -57,13 +57,13 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( - int? partIndex, int? startIndex, + int? partIndex, int? endIndex, string? text) { - this.PartIndex = partIndex; this.StartIndex = startIndex; + this.PartIndex = partIndex; this.EndIndex = endIndex; this.Text = text; } 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 b6243540..6de11c0e 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. /// @@ -32,6 +26,12 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("key")] public string? Key { get; set; } + /// + /// Optional. The string value of the metadata. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] + public string? StringValue { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,9 +41,6 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// Optional. The string value of the metadata. - /// /// /// A list of string values. /// @@ -53,19 +50,22 @@ public sealed partial class GroundingChunkCustomMetadata /// /// The key of the metadata. /// + /// + /// Optional. The string value of the metadata. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( - string? stringValue, global::Google.Gemini.GroundingChunkStringList? stringListValue, float? numericValue, - string? key) + string? key, + string? stringValue) { - this.StringValue = stringValue; this.StringListValue = stringListValue; this.NumericValue = numericValue; this.Key = key; + this.StringValue = stringValue; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs index afd9dc2c..66795fe6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class GroundingMetadata { /// - /// List of grounding support. + /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] - public global::System.Collections.Generic.IList? GroundingSupports { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] + public string? GoogleMapsWidgetContextToken { get; set; } /// /// Metadata related to retrieval in the grounding flow. @@ -20,12 +20,6 @@ public sealed partial class GroundingMetadata [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } - /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] - public global::System.Collections.Generic.IList? GroundingChunks { get; set; } - /// /// Web search queries for the following-up web search. /// @@ -33,10 +27,16 @@ public sealed partial class GroundingMetadata public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] - public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] + public global::System.Collections.Generic.IList? GroundingChunks { get; set; } + + /// + /// List of grounding support. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] + public global::System.Collections.Generic.IList? GroundingSupports { get; set; } /// /// Image search queries used for grounding. @@ -45,10 +45,10 @@ public sealed partial class GroundingMetadata 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. + /// Google search entry point. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] - public string? GoogleMapsWidgetContextToken { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] + public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,46 +59,46 @@ public sealed partial class GroundingMetadata /// /// Initializes a new instance of the class. /// - /// - /// List of grounding support. + /// + /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. /// /// /// Metadata related to retrieval in the grounding flow. /// - /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. - /// /// /// Web search queries for the following-up web search. /// - /// - /// 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. + /// + /// + /// List of grounding support. /// /// /// 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. + /// + /// Google search entry point. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::System.Collections.Generic.IList? groundingSupports, + string? googleMapsWidgetContextToken, global::Google.Gemini.RetrievalMetadata? retrievalMetadata, - global::System.Collections.Generic.IList? groundingChunks, global::System.Collections.Generic.IList? webSearchQueries, - global::Google.Gemini.SearchEntryPoint? searchEntryPoint, + global::System.Collections.Generic.IList? groundingChunks, + global::System.Collections.Generic.IList? groundingSupports, global::System.Collections.Generic.IList? imageSearchQueries, - string? googleMapsWidgetContextToken) + global::Google.Gemini.SearchEntryPoint? searchEntryPoint) { - this.GroundingSupports = groundingSupports; + this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; this.RetrievalMetadata = retrievalMetadata; - this.GroundingChunks = groundingChunks; this.WebSearchQueries = webSearchQueries; - this.SearchEntryPoint = searchEntryPoint; + this.GroundingChunks = groundingChunks; + this.GroundingSupports = groundingSupports; this.ImageSearchQueries = imageSearchQueries; - this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; + this.SearchEntryPoint = searchEntryPoint; } /// 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 379c7e37..488443c5 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 hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] - public float? LearningRate { get; set; } - - /// - /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("epochCount")] - public int? EpochCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] + public float? LearningRateMultiplier { get; set; } /// /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. @@ -27,10 +21,16 @@ public sealed partial class Hyperparameters public int? BatchSize { get; set; } /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// 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("learningRateMultiplier")] - public float? LearningRateMultiplier { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] + public float? LearningRate { get; set; } + + /// + /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("epochCount")] + public int? EpochCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class Hyperparameters /// /// Initializes a new instance of the class. /// + /// + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// + /// + /// Immutable. The 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. /// /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. /// - /// - /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. - /// - /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( - float? learningRate, - int? epochCount, + float? learningRateMultiplier, int? batchSize, - float? learningRateMultiplier) + float? learningRate, + int? epochCount) { + this.LearningRateMultiplier = learningRateMultiplier; + this.BatchSize = batchSize; this.LearningRate = learningRate; this.EpochCount = epochCount; - this.BatchSize = batchSize; - this.LearningRateMultiplier = learningRateMultiplier; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs index 658fd788..4716d429 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 web page URI for attribution. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] - public string? SourceUri { get; set; } - - /// - /// The image asset URL. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] - public string? ImageUri { get; set; } - /// /// The title of the web page that the image is from. /// @@ -32,6 +20,18 @@ public sealed partial class Image [global::System.Text.Json.Serialization.JsonPropertyName("domain")] public string? Domain { get; set; } + /// + /// The image asset URL. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] + public string? ImageUri { get; set; } + + /// + /// The web page URI for attribution. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] + public string? SourceUri { 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 web page URI for attribution. - /// - /// - /// The image asset URL. - /// /// /// The title of the web page that the image is from. /// /// /// The root domain of the web page that the image is from, e.g. "example.com". /// + /// + /// The image asset URL. + /// + /// + /// The web page URI for attribution. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( - string? sourceUri, - string? imageUri, string? title, - string? domain) + string? domain, + string? imageUri, + string? sourceUri) { - this.SourceUri = sourceUri; - this.ImageUri = imageUri; this.Title = title; this.Domain = domain; + this.ImageUri = imageUri; + this.SourceUri = sourceUri; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs index e98aec4e..a4122a06 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ImageConfig { - /// - /// Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSize")] - public string? ImageSize { get; set; } - /// /// Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided. /// [global::System.Text.Json.Serialization.JsonPropertyName("aspectRatio")] public string? AspectRatio { get; set; } + /// + /// Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("imageSize")] + public string? ImageSize { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ImageConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`. - /// /// /// Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided. /// + /// + /// Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImageConfig( - string? imageSize, - string? aspectRatio) + string? aspectRatio, + string? imageSize) { - this.ImageSize = imageSize; this.AspectRatio = aspectRatio; + this.ImageSize = imageSize; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs index 13ed70e9..74d28190 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class ImageResponseFormat { /// - /// Optional. The size of the image output. + /// Optional. The MIME type of the image output. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSize")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter))] - public global::Google.Gemini.ImageResponseFormatImageSize? ImageSize { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter))] + public global::Google.Gemini.ImageResponseFormatMimeType? MimeType { get; set; } /// /// Optional. The aspect ratio for the image output. @@ -23,11 +23,11 @@ public sealed partial class ImageResponseFormat public global::Google.Gemini.ImageResponseFormatAspectRatio? AspectRatio { get; set; } /// - /// Optional. The MIME type of the image output. + /// Optional. The size of the image output. /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter))] - public global::Google.Gemini.ImageResponseFormatMimeType? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageSize")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter))] + public global::Google.Gemini.ImageResponseFormatImageSize? ImageSize { get; set; } /// /// Optional. The delivery mode for the image output. @@ -45,14 +45,14 @@ public sealed partial class ImageResponseFormat /// /// Initializes a new instance of the class. /// - /// - /// Optional. The size of the image output. + /// + /// Optional. The MIME type of the image output. /// /// /// Optional. The aspect ratio for the image output. /// - /// - /// Optional. The MIME type of the image output. + /// + /// Optional. The size of the image output. /// /// /// Optional. The delivery mode for the image output. @@ -61,14 +61,14 @@ public sealed partial class ImageResponseFormat [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImageResponseFormat( - global::Google.Gemini.ImageResponseFormatImageSize? imageSize, - global::Google.Gemini.ImageResponseFormatAspectRatio? aspectRatio, global::Google.Gemini.ImageResponseFormatMimeType? mimeType, + global::Google.Gemini.ImageResponseFormatAspectRatio? aspectRatio, + global::Google.Gemini.ImageResponseFormatImageSize? imageSize, global::Google.Gemini.ImageResponseFormatDelivery? delivery) { - this.ImageSize = imageSize; - this.AspectRatio = aspectRatio; this.MimeType = mimeType; + this.AspectRatio = aspectRatio; + this.ImageSize = imageSize; this.Delivery = delivery; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs index 8aca0f0e..2d4eb0c3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentRequest { - /// - /// Optional. The metadata to be associated with the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } - /// /// Request containing the `Content` for the model to embed. /// [global::System.Text.Json.Serialization.JsonPropertyName("request")] public global::Google.Gemini.EmbedContentRequest? Request { get; set; } + /// + /// Optional. The metadata to be associated with the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedEmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. The metadata to be associated with the request. - /// /// /// Request containing the `Content` for the model to embed. /// + /// + /// Optional. The metadata to be associated with the request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentRequest( - object? metadata, - global::Google.Gemini.EmbedContentRequest? request) + global::Google.Gemini.EmbedContentRequest? request, + object? metadata) { - this.Metadata = metadata; this.Request = request; + this.Metadata = metadata; } /// 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 c4006720..9234a532 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentResponse { + /// + /// Output only. The metadata associated with the request.
+ /// Included only in responses + /// + [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). /// @@ -20,13 +27,6 @@ public sealed partial class InlinedEmbedContentResponse [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 - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,27 +36,27 @@ public sealed partial class InlinedEmbedContentResponse /// /// Initializes a new instance of the class. /// + /// + /// Output only. The metadata associated with the request.
+ /// Included only in responses + /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// /// /// The response to an `EmbedContentRequest`. /// - /// - /// Output only. The metadata associated with the request.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentResponse( + object? metadata, global::Google.Gemini.Status? error, - global::Google.Gemini.EmbedContentResponse? response, - object? metadata) + global::Google.Gemini.EmbedContentResponse? response) { + this.Metadata = metadata; this.Error = error; this.Response = response; - this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs index 3d0f91ff..736a29fe 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InputConfig { - /// - /// The name of the `File` containing the input requests. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] - public string? FileName { get; set; } - /// /// The requests to be processed in the batch if provided as part of the batch creation request. /// [global::System.Text.Json.Serialization.JsonPropertyName("requests")] public global::Google.Gemini.InlinedRequests? Requests { get; set; } + /// + /// The name of the `File` containing the input requests. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InputConfig /// /// Initializes a new instance of the class. /// - /// - /// The name of the `File` containing the input requests. - /// /// /// The requests to be processed in the batch if provided as part of the batch creation request. /// + /// + /// The name of the `File` containing the input requests. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InputConfig( - string? fileName, - global::Google.Gemini.InlinedRequests? requests) + global::Google.Gemini.InlinedRequests? requests, + string? fileName) { - this.FileName = fileName; this.Requests = requests; + this.FileName = fileName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs index 2ca5e4b2..05a50bda 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InputEmbedContentConfig { - /// - /// The name of the `File` containing the input requests. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] - public string? FileName { get; set; } - /// /// The requests to be processed in the batch if provided as part of the batch creation request. /// [global::System.Text.Json.Serialization.JsonPropertyName("requests")] public global::Google.Gemini.InlinedEmbedContentRequests? Requests { get; set; } + /// + /// The name of the `File` containing the input requests. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InputEmbedContentConfig /// /// Initializes a new instance of the class. /// - /// - /// The name of the `File` containing the input requests. - /// /// /// The requests to be processed in the batch if provided as part of the batch creation request. /// + /// + /// The name of the `File` containing the input requests. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InputEmbedContentConfig( - string? fileName, - global::Google.Gemini.InlinedEmbedContentRequests? requests) + global::Google.Gemini.InlinedEmbedContentRequests? requests, + string? fileName) { - this.FileName = fileName; this.Requests = requests; + this.FileName = fileName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs index afe10fd0..5ce34e69 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Interval { - /// - /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } - /// /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. /// [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] public string? StartTime { get; set; } + /// + /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Interval /// /// Initializes a new instance of the class. /// - /// - /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. - /// /// /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. /// + /// + /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Interval( - string? endTime, - string? startTime) + string? startTime, + string? endTime) { - this.EndTime = endTime; this.StartTime = startTime; + this.EndTime = endTime; } /// 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 8c9f6ab6..9a1d2d1e 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 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; } + /// + /// 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; } + /// /// 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 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]. /// + /// + /// The latitude in degrees. It must be in the range [-90.0, +90.0]. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LatLng( - double? latitude, - double? longitude) + double? longitude, + double? latitude) { - this.Latitude = latitude; this.Longitude = longitude; + this.Latitude = latitude; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs index 7bff6270..6a5dbdc2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListCorporaResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned corpora. /// [global::System.Text.Json.Serialization.JsonPropertyName("corpora")] public global::System.Collections.Generic.IList? Corpora { get; set; } + /// + /// 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 ListCorporaResponse /// /// 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 corpora. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListCorporaResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? corpora) + global::System.Collections.Generic.IList? corpora, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Corpora = corpora; + this.NextPageToken = nextPageToken; } /// 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 965fc58d..af0c7343 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFileSearchStoresResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned rag_stores. /// [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStores")] public global::System.Collections.Generic.IList? FileSearchStores { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListFileSearchStoresResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// /// /// The returned rag_stores. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFileSearchStoresResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? fileSearchStores) + global::System.Collections.Generic.IList? fileSearchStores, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.FileSearchStores = fileSearchStores; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs index 56d16d70..31720695 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFilesResponse { - /// - /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The list of `File`s. /// [global::System.Text.Json.Serialization.JsonPropertyName("files")] public global::System.Collections.Generic.IList? Files { get; set; } + /// + /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListFilesResponse /// /// Initializes a new instance of the class. /// - /// - /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. - /// /// /// The list of `File`s. /// + /// + /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFilesResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? files) + global::System.Collections.Generic.IList? files, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Files = files; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs index d4af5350..76ed7050 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListModelsResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned Models. /// [global::System.Text.Json.Serialization.JsonPropertyName("models")] public global::System.Collections.Generic.IList? Models { get; set; } + /// + /// 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 ListModelsResponse /// /// 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 ListModelsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? models) + global::System.Collections.Generic.IList? models, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Models = models; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs index 395682f1..b6386440 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListOperationsResponse { - /// - /// The standard List next-page token. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// A list of operations that matches the specified filter in the request. /// [global::System.Text.Json.Serialization.JsonPropertyName("operations")] public global::System.Collections.Generic.IList? Operations { get; set; } + /// + /// The standard List next-page token. + /// + [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. /// @@ -35,12 +35,12 @@ public sealed partial class ListOperationsResponse /// /// Initializes a new instance of the class. /// - /// - /// The standard List next-page token. - /// /// /// A list of operations that matches the specified filter in the request. /// + /// + /// 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. /// @@ -48,12 +48,12 @@ public sealed partial class ListOperationsResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( - string? nextPageToken, global::System.Collections.Generic.IList? operations, + string? nextPageToken, global::System.Collections.Generic.IList? unreachable) { - this.NextPageToken = nextPageToken; this.Operations = operations; + this.NextPageToken = nextPageToken; this.Unreachable = unreachable; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs index 800f4e39..fb6d6f43 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListPermissionsResponse { - /// - /// Returned permissions. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("permissions")] - public global::System.Collections.Generic.IList? Permissions { get; set; } - /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// Returned permissions. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("permissions")] + public global::System.Collections.Generic.IList? Permissions { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListPermissionsResponse /// /// Initializes a new instance of the class. /// - /// - /// Returned permissions. - /// /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// + /// + /// Returned permissions. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListPermissionsResponse( - global::System.Collections.Generic.IList? permissions, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? permissions) { - this.Permissions = permissions; this.NextPageToken = nextPageToken; + this.Permissions = permissions; } /// 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 920b8335..3c572fa7 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 { - /// - /// 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; } + /// + /// The returned Models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModels")] + public global::System.Collections.Generic.IList? TunedModels { 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. /// - /// - /// The returned Models. - /// /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// + /// + /// The returned Models. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListTunedModelsResponse( - global::System.Collections.Generic.IList? tunedModels, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? tunedModels) { - this.TunedModels = tunedModels; this.NextPageToken = nextPageToken; + this.TunedModels = tunedModels; } /// 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 30d9cd80..ef37df84 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 @@ -14,18 +14,18 @@ public sealed partial class LogprobsResult [global::System.Text.Json.Serialization.JsonPropertyName("topCandidates")] public global::System.Collections.Generic.IList? TopCandidates { get; set; } - /// - /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. - /// - [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. 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class LogprobsResult /// /// Length = total number of decoding steps. /// - /// - /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. - /// /// /// Sum of log probabilities for all tokens. /// + /// + /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResult( global::System.Collections.Generic.IList? topCandidates, - global::System.Collections.Generic.IList? chosenCandidates, - float? logProbabilitySum) + float? logProbabilitySum, + global::System.Collections.Generic.IList? chosenCandidates) { this.TopCandidates = topCandidates; - this.ChosenCandidates = chosenCandidates; this.LogProbabilitySum = logProbabilitySum; + this.ChosenCandidates = chosenCandidates; } /// 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 c4f9fa4f..6ae18c56 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class LogprobsResultCandidate { - /// - /// The candidate's log probability. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] - public float? LogProbability { get; set; } - /// /// The candidate’s token string value. /// @@ -26,6 +20,12 @@ public sealed partial class LogprobsResultCandidate [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] public int? TokenId { get; set; } + /// + /// The candidate's log probability. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] + public float? LogProbability { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class LogprobsResultCandidate /// /// Initializes a new instance of the class. /// - /// - /// The candidate's log probability. - /// /// /// The candidate’s token string value. /// /// /// The candidate’s token id value. /// + /// + /// The candidate's log probability. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( - float? logProbability, string? token, - int? tokenId) + int? tokenId, + float? logProbability) { - this.LogProbability = logProbability; this.Token = token; this.TokenId = tokenId; + this.LogProbability = logProbability; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs index 9f85a259..614f6e5a 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 @@ -15,16 +15,16 @@ public sealed partial class Maps public string? Uri { get; set; } /// - /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. + /// Title of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] - public string? PlaceId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] - public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] + public string? PlaceId { get; set; } /// /// Text description of the place answer. @@ -33,10 +33,10 @@ public sealed partial class Maps public string? Text { get; set; } /// - /// Title of the place. + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] + public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -50,33 +50,33 @@ public sealed partial class Maps /// /// URI reference of the place. /// + /// + /// Title of the place. + /// /// /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - /// - /// 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. - /// /// /// Text description of the place answer. /// - /// - /// Title of the place. + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( string? uri, + string? title, string? placeId, - global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, string? text, - string? title) + global::Google.Gemini.PlaceAnswerSources? placeAnswerSources) { this.Uri = uri; + this.Title = title; this.PlaceId = placeId; - this.PlaceAnswerSources = placeAnswerSources; this.Text = text; - this.Title = title; + this.PlaceAnswerSources = placeAnswerSources; } /// 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 8ed7c2ca..119e4a35 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 @@ -9,40 +9,40 @@ namespace Google.Gemini public sealed partial class Model { /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] - public string? BaseModelId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] - public bool? Thinking { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Maximum number of output tokens available for this 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("outputTokenLimit")] - public int? OutputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. + /// 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("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// A short description of the model. + /// Maximum number of output tokens available for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { get; set; } /// - /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { get; set; } /// /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` @@ -51,40 +51,40 @@ public sealed partial class Model public string? Name { get; set; } /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// Whether the model supports thinking. /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] + public bool? Thinking { get; set; } /// - /// The maximum temperature this model can use. + /// A short description of the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] - public float? MaxTemperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Maximum number of input tokens allowed for this model. + /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// The maximum temperature this model can use. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { 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. + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] + public string? BaseModelId { get; set; } /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// Maximum number of input tokens allowed for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] + public int? InputTokenLimit { 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. /// - /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// - /// - /// 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. /// - /// - /// Maximum number of output tokens available for this model. + /// + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - /// - /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. + /// + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - /// - /// A short description of the model. + /// + /// Maximum number of output tokens available for this 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. + /// + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// /// /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` /// - /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// + /// Whether the model supports thinking. + /// + /// + /// A short description of 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. /// /// /// 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` + /// /// /// Maximum number of input tokens allowed for this model. /// - /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. - /// - /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. - /// - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - string? baseModelId, - bool? thinking, - int? outputTokenLimit, - string? displayName, - string? description, + global::System.Collections.Generic.IList? supportedGenerationMethods, + float? topP, int? topK, - string? name, + float? temperature, + int? outputTokenLimit, string? version, + string? name, + bool? thinking, + string? description, + string? displayName, float? maxTemperature, - int? inputTokenLimit, - float? topP, - float? temperature, - global::System.Collections.Generic.IList? supportedGenerationMethods) + string? baseModelId, + int? inputTokenLimit) { - this.BaseModelId = baseModelId; - this.Thinking = thinking; - this.OutputTokenLimit = outputTokenLimit; - this.DisplayName = displayName; - this.Description = description; + this.SupportedGenerationMethods = supportedGenerationMethods; + this.TopP = topP; this.TopK = topK; - this.Name = name; + this.Temperature = temperature; + this.OutputTokenLimit = outputTokenLimit; this.Version = version; + this.Name = name; + this.Thinking = thinking; + this.Description = description; + this.DisplayName = displayName; this.MaxTemperature = maxTemperature; + this.BaseModelId = baseModelId; this.InputTokenLimit = inputTokenLimit; - this.TopP = topP; - this.Temperature = temperature; - this.SupportedGenerationMethods = supportedGenerationMethods; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs index 18d255a5..d5fc3303 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 time at which the model will be retired. /// @@ -27,6 +21,12 @@ 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ModelStatus /// /// Initializes a new instance of the class. /// - /// - /// A message explaining the model status. - /// /// /// The time at which the model will be retired. /// /// /// The stage of the underlying model. /// + /// + /// A message explaining the model status. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( - string? message, string? retirementTime, - global::Google.Gemini.ModelStatusModelStage? modelStage) + global::Google.Gemini.ModelStatusModelStage? modelStage, + string? message) { - this.Message = message; this.RetirementTime = retirementTime; this.ModelStage = modelStage; + this.Message = message; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs index 33125c1c..0e9fd09f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs @@ -9,16 +9,10 @@ namespace Google.Gemini 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } - - /// - /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// 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("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { 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}`. @@ -27,10 +21,10 @@ public sealed partial class Operation 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. + /// 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`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } + [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). @@ -38,6 +32,12 @@ public sealed partial class Operation [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class Operation /// /// Initializes a new instance of the class. /// - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// - /// - /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// /// /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Operation( - bool? done, - object? response, - string? name, object? metadata, - global::Google.Gemini.Status? error) + string? name, + object? response, + global::Google.Gemini.Status? error, + bool? done) { - this.Done = done; - this.Response = response; - this.Name = name; this.Metadata = metadata; + this.Name = name; + this.Response = response; this.Error = error; + this.Done = done; } /// 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 48941e29..5915a983 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 @@ -11,16 +11,16 @@ namespace Google.Gemini public sealed partial class Part { /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] - public byte[]? ThoughtSignature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] + public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] - public object? PartMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] + public global::Google.Gemini.Blob? InlineData { get; set; } /// /// Inline text. @@ -34,18 +34,6 @@ public sealed partial class Part [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } - /// - /// Optional. Indicates if the part is thought from the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thought")] - public bool? Thought { get; set; } - - /// - /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] - public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } - /// /// The 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. /// @@ -53,10 +41,10 @@ public sealed partial class Part public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] - public global::Google.Gemini.Blob? InlineData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] + public object? PartMetadata { get; set; } /// /// URI based data. @@ -65,17 +53,22 @@ public sealed partial class Part public global::Google.Gemini.FileData? FileData { get; set; } /// - /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - [global::System.Obsolete("This property marked as deprecated.")] - public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] + public byte[]? ThoughtSignature { get; set; } /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// Optional. Indicates if the part is thought from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] - public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thought")] + public bool? Thought { get; set; } + + /// + /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] + public global::Google.Gemini.ToolCall? ToolCall { get; set; } /// /// The 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`. @@ -84,10 +77,17 @@ public sealed partial class Part public global::Google.Gemini.ToolResponse? ToolResponse { 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`. + /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] - public global::Google.Gemini.ToolCall? ToolCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + [global::System.Obsolete("This property marked as deprecated.")] + public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } + + /// + /// 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; } /// /// Additional properties that are not explicitly defined in the schema @@ -98,11 +98,11 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// - /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// - /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// /// /// Inline text. @@ -110,59 +110,59 @@ public sealed partial class Part /// /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - /// - /// Optional. Indicates if the part is thought from the model. - /// - /// - /// 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 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. /// - /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// /// /// URI based data. /// - /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - /// - /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// + /// Optional. Indicates if the part is thought from the model. /// /// /// 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`. + /// + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( - byte[]? thoughtSignature, - object? partMetadata, + global::Google.Gemini.ExecutableCode? executableCode, + global::Google.Gemini.Blob? inlineData, string? text, global::Google.Gemini.FunctionCall? functionCall, - bool? thought, - global::Google.Gemini.ExecutableCode? executableCode, global::Google.Gemini.FunctionResponse? functionResponse, - global::Google.Gemini.Blob? inlineData, + object? partMetadata, global::Google.Gemini.FileData? fileData, - global::Google.Gemini.CodeExecutionResult? codeExecutionResult, + byte[]? thoughtSignature, + bool? thought, + global::Google.Gemini.ToolCall? toolCall, global::Google.Gemini.ToolResponse? toolResponse, - global::Google.Gemini.ToolCall? toolCall) + global::Google.Gemini.CodeExecutionResult? codeExecutionResult) { - this.ThoughtSignature = thoughtSignature; - this.PartMetadata = partMetadata; + this.ExecutableCode = executableCode; + this.InlineData = inlineData; this.Text = text; this.FunctionCall = functionCall; - this.Thought = thought; - this.ExecutableCode = executableCode; this.FunctionResponse = functionResponse; - this.InlineData = inlineData; + this.PartMetadata = partMetadata; this.FileData = fileData; - this.CodeExecutionResult = codeExecutionResult; - this.ToolResponse = toolResponse; + this.ThoughtSignature = thoughtSignature; + this.Thought = thought; this.ToolCall = toolCall; + this.ToolResponse = toolResponse; + this.CodeExecutionResult = codeExecutionResult; } /// 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 6b2d9560..654fa13f 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 @@ -8,19 +8,19 @@ 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 email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] public string? EmailAddress { get; set; } + /// + /// Optional. Immutable. The type of the grantee. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("granteeType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter))] + public global::Google.Gemini.PermissionGranteeType? GranteeType { get; set; } + /// /// Required. The role granted by this permission. /// @@ -29,11 +29,11 @@ public sealed partial class Permission public global::Google.Gemini.PermissionRole? Role { get; set; } /// - /// Optional. Immutable. The type of the grantee. + /// 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("granteeType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter))] - public global::Google.Gemini.PermissionGranteeType? GranteeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -44,32 +44,32 @@ public sealed partial class Permission /// /// Initializes a new instance of the class. /// - /// - /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
- /// Included only in responses - /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Optional. Immutable. The type of the grantee. + /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( - string? name, string? emailAddress, + global::Google.Gemini.PermissionGranteeType? granteeType, global::Google.Gemini.PermissionRole? role, - global::Google.Gemini.PermissionGranteeType? granteeType) + string? name) { - this.Name = name; this.EmailAddress = emailAddress; - this.Role = role; this.GranteeType = granteeType; + this.Role = role; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs index 7fd83425..cb73b58e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs @@ -14,18 +14,18 @@ public sealed partial class ResponseFormatConfig [global::System.Text.Json.Serialization.JsonPropertyName("text")] public global::Google.Gemini.TextResponseFormat? Text { get; set; } - /// - /// Configuration for image output format. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("image")] - public global::Google.Gemini.ImageResponseFormat? Image { get; set; } - /// /// Configuration for audio output format. /// [global::System.Text.Json.Serialization.JsonPropertyName("audio")] public global::Google.Gemini.AudioResponseFormat? Audio { get; set; } + /// + /// Configuration for image output format. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("image")] + public global::Google.Gemini.ImageResponseFormat? Image { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ResponseFormatConfig /// /// Configuration for text output format. /// - /// - /// Configuration for image output format. - /// /// /// Configuration for audio output format. /// + /// + /// Configuration for image output format. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ResponseFormatConfig( global::Google.Gemini.TextResponseFormat? text, - global::Google.Gemini.ImageResponseFormat? image, - global::Google.Gemini.AudioResponseFormat? audio) + global::Google.Gemini.AudioResponseFormat? audio, + global::Google.Gemini.ImageResponseFormat? image) { this.Text = text; - this.Image = image; this.Audio = audio; + this.Image = image; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs index 587cc51b..10e07f1c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class RetrievalConfig { - /// - /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] - public string? LanguageCode { get; set; } - /// /// An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. /// [global::System.Text.Json.Serialization.JsonPropertyName("latLng")] public global::Google.Gemini.LatLng? LatLng { get; set; } + /// + /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] + public string? LanguageCode { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class RetrievalConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). - /// /// /// An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. /// + /// + /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievalConfig( - string? languageCode, - global::Google.Gemini.LatLng? latLng) + global::Google.Gemini.LatLng? latLng, + string? languageCode) { - this.LanguageCode = languageCode; this.LatLng = latLng; + this.LanguageCode = languageCode; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs index 511f9125..fd667c71 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class RetrievedContext { /// - /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] - public string? MediaId { get; set; } - - /// - /// Optional. Text of the chunk. + /// Optional. User-provided metadata about the retrieved context. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` @@ -27,10 +21,10 @@ public sealed partial class RetrievedContext public string? FileSearchStore { get; set; } /// - /// Optional. Title of the document. + /// Optional. Page number of the retrieved context, if applicable. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] + public int? PageNumber { get; set; } /// /// Optional. URI reference of the semantic retrieval document. @@ -39,16 +33,22 @@ public sealed partial class RetrievedContext public string? Uri { get; set; } /// - /// Optional. Page number of the retrieved context, if applicable. + /// Optional. Title of the document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] - public int? PageNumber { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Optional. User-provided metadata about the retrieved context. + /// Optional. Text of the chunk. /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } + + /// + /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] + public string? MediaId { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,46 +59,46 @@ public sealed partial class RetrievedContext /// /// Initializes a new instance of the class. /// - /// - /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} - /// - /// - /// Optional. Text of the chunk. + /// + /// Optional. User-provided metadata about the retrieved context. /// /// /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// - /// - /// Optional. Title of the document. + /// + /// Optional. Page number of the retrieved context, if applicable. /// /// /// Optional. URI reference of the semantic retrieval document. /// - /// - /// Optional. Page number of the retrieved context, if applicable. + /// + /// Optional. Title of the document. /// - /// - /// Optional. User-provided metadata about the retrieved context. + /// + /// Optional. Text of the chunk. + /// + /// + /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( - string? mediaId, - string? text, + global::System.Collections.Generic.IList? customMetadata, string? fileSearchStore, - string? title, - string? uri, int? pageNumber, - global::System.Collections.Generic.IList? customMetadata) + string? uri, + string? title, + string? text, + string? mediaId) { - this.MediaId = mediaId; - this.Text = text; + this.CustomMetadata = customMetadata; this.FileSearchStore = fileSearchStore; - this.Title = title; - this.Uri = uri; this.PageNumber = pageNumber; - this.CustomMetadata = customMetadata; + this.Uri = uri; + this.Title = title; + this.Text = text; + this.MediaId = mediaId; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs index 19c4fb32..f4ea2ba7 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ReviewSnippet { + /// + /// Title of the review. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + /// /// The ID of the review snippet. /// @@ -20,12 +26,6 @@ public sealed partial class ReviewSnippet [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsUri")] public string? GoogleMapsUri { get; set; } - /// - /// Title of the review. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ReviewSnippet /// /// Initializes a new instance of the class. /// + /// + /// Title of the review. + /// /// /// The ID of the review snippet. /// /// /// A link that corresponds to the user review on Google Maps. /// - /// - /// Title of the review. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ReviewSnippet( + string? title, string? reviewId, - string? googleMapsUri, - string? title) + string? googleMapsUri) { + this.Title = title; this.ReviewId = reviewId; this.GoogleMapsUri = googleMapsUri; - this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs index 90e5f055..35a3b72d 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 @@ -14,13 +14,6 @@ public sealed partial class SafetyRating [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] public bool? Blocked { get; set; } - /// - /// Required. The probability of harm for this content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("probability")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter))] - public global::Google.Gemini.SafetyRatingProbability? Probability { get; set; } - /// /// Required. The category for this rating. /// @@ -28,6 +21,13 @@ public sealed partial class SafetyRating [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter))] public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } + /// + /// Required. The probability of harm for this content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("probability")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter))] + public global::Google.Gemini.SafetyRatingProbability? Probability { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -40,23 +40,23 @@ public sealed partial class SafetyRating /// /// Was this content blocked because of this rating? /// - /// - /// Required. The probability of harm for this content. - /// /// /// Required. The category for this rating. /// + /// + /// Required. The probability of harm for this content. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( bool? blocked, - global::Google.Gemini.SafetyRatingProbability? probability, - global::Google.Gemini.SafetyRatingCategory? category) + global::Google.Gemini.SafetyRatingCategory? category, + global::Google.Gemini.SafetyRatingProbability? probability) { this.Blocked = blocked; - this.Probability = probability; 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 b3c80012..5b4eb6c2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs @@ -9,28 +9,28 @@ namespace Google.Gemini public sealed partial class Schema { /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] - public double? Minimum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { get; set; } /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// 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("minItems")] - public string? MinItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] + public global::System.Collections.Generic.IList? PropertyOrdering { 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. Required properties of Type.OBJECT. + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] + public double? Maximum { get; set; } /// /// Optional. Maximum number of the properties for Type.OBJECT. @@ -39,28 +39,22 @@ public sealed partial class Schema public string? MaxProperties { get; set; } /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] - public global::System.Collections.Generic.IList? AnyOf { 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. 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enum")] - public global::System.Collections.Generic.IList? Enum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// - /// Optional. Maximum length of the Type.STRING + /// Optional. Required properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING @@ -74,6 +68,24 @@ public sealed partial class Schema [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } + /// + /// Optional. Indicates if the value may be null. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] + public bool? Nullable { get; set; } + + /// + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// + [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] + public double? Minimum { get; set; } + + /// + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] + public global::System.Collections.Generic.IList? AnyOf { get; set; } + /// /// Optional. Minimum number of the properties for Type.OBJECT. /// @@ -81,11 +93,10 @@ public sealed partial class Schema public string? MinProperties { get; set; } /// - /// Required. Data type. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [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("items")] + public global::Google.Gemini.Schema? Items { get; set; } /// /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. @@ -93,12 +104,6 @@ public sealed partial class Schema [global::System.Text.Json.Serialization.JsonPropertyName("default")] public object? Default { get; set; } - /// - /// Optional. Indicates if the value may be null. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] - public bool? Nullable { get; set; } - /// /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// @@ -106,10 +111,11 @@ public sealed partial class Schema public string? Description { get; set; } /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] - public string? Pattern { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("type")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] + public global::Google.Gemini.SchemaType? Type { get; set; } /// /// Optional. Maximum number of the elements for Type.ARRAY. @@ -118,28 +124,22 @@ public sealed partial class Schema public string? MaxItems { get; set; } /// - /// Optional. Example of the object. Will only populated when the object is the root. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("example")] - public object? Example { get; set; } - - /// - /// Optional. Properties of Type.OBJECT. + /// Optional. Maximum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] + public string? MaxLength { get; set; } /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] - public double? Maximum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { 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. 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("propertyOrdering")] - public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enum")] + public global::System.Collections.Generic.IList? Enum { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -150,32 +150,29 @@ public sealed partial class Schema /// /// Initializes a new instance of the class. /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// + /// + /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. /// /// /// Optional. Minimum number of the 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. Required properties of Type.OBJECT. + /// + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// /// /// Optional. Maximum number of the properties for Type.OBJECT. /// - /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. - /// - /// - /// Optional. 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. 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. Maximum length of the Type.STRING + /// + /// Optional. Required properties of Type.OBJECT. /// /// /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING @@ -183,88 +180,91 @@ public sealed partial class Schema /// /// Optional. The title of the schema. /// + /// + /// Optional. Indicates if the value may be null. + /// + /// + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// + /// + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// /// /// Optional. Minimum number of the properties for Type.OBJECT. /// - /// - /// Required. Data type. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// /// /// Optional. 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. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// + /// Required. Data type. /// /// /// Optional. Maximum number of the elements for Type.ARRAY. /// - /// - /// Optional. Example of the object. Will only populated when the object is the root. - /// - /// - /// Optional. Properties of Type.OBJECT. + /// + /// Optional. Maximum length of the Type.STRING /// - /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - /// - /// Optional. 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. 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"]} /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - double? minimum, + string? pattern, + global::System.Collections.Generic.IList? propertyOrdering, string? minItems, - global::Google.Gemini.Schema? items, - global::System.Collections.Generic.IList? required, + double? maximum, string? maxProperties, - global::System.Collections.Generic.IList? anyOf, - string? format, - global::System.Collections.Generic.IList? @enum, - string? maxLength, + object? example, + global::System.Collections.Generic.Dictionary? properties, + global::System.Collections.Generic.IList? required, string? minLength, string? title, + bool? nullable, + double? minimum, + global::System.Collections.Generic.IList? anyOf, string? minProperties, - global::Google.Gemini.SchemaType? type, + global::Google.Gemini.Schema? items, object? @default, - bool? nullable, string? description, - string? pattern, + global::Google.Gemini.SchemaType? type, string? maxItems, - object? example, - global::System.Collections.Generic.Dictionary? properties, - double? maximum, - global::System.Collections.Generic.IList? propertyOrdering) + string? maxLength, + string? format, + global::System.Collections.Generic.IList? @enum) { - this.Minimum = minimum; + this.Pattern = pattern; + this.PropertyOrdering = propertyOrdering; this.MinItems = minItems; - this.Items = items; - this.Required = required; + this.Maximum = maximum; this.MaxProperties = maxProperties; - this.AnyOf = anyOf; - this.Format = format; - this.Enum = @enum; - this.MaxLength = maxLength; + this.Example = example; + this.Properties = properties; + this.Required = required; this.MinLength = minLength; this.Title = title; + this.Nullable = nullable; + this.Minimum = minimum; + this.AnyOf = anyOf; this.MinProperties = minProperties; - this.Type = type; + this.Items = items; this.Default = @default; - this.Nullable = nullable; this.Description = description; - this.Pattern = pattern; + this.Type = type; this.MaxItems = maxItems; - this.Example = example; - this.Properties = properties; - this.Maximum = maximum; - this.PropertyOrdering = propertyOrdering; + this.MaxLength = maxLength; + this.Format = format; + this.Enum = @enum; } /// 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 51762010..f9bd1b66 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 { - /// - /// 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; } + /// + /// Image search for grounding and related configurations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("imageSearch")] + public global::Google.Gemini.ImageSearch? ImageSearch { 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. /// - /// - /// Image search for grounding and related configurations. - /// /// /// Standard web search for grounding and related configurations. /// + /// + /// Image search for grounding and related configurations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SearchTypes( - global::Google.Gemini.ImageSearch? imageSearch, - global::Google.Gemini.WebSearch? webSearch) + global::Google.Gemini.WebSearch? webSearch, + global::Google.Gemini.ImageSearch? imageSearch) { - this.ImageSearch = imageSearch; this.WebSearch = webSearch; + this.ImageSearch = imageSearch; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs index db03bec1..8890bdf2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class SemanticRetrieverChunk { /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - public string? Source { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] + public string? Chunk { get; set; } /// - /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
+ /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] - public string? Chunk { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("source")] + public string? Source { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class SemanticRetrieverChunk /// /// Initializes a new instance of the class. /// - /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
- /// Included only in responses - /// /// /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// + /// + /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SemanticRetrieverChunk( - string? source, - string? chunk) + string? chunk, + string? source) { - this.Source = source; this.Chunk = chunk; + this.Source = source; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs index 2cdf8fc7..4d41ca9d 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class SpeechConfig { + /// + /// The configuration for the voice to use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] + public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } + /// /// The configuration for the multi-speaker setup. /// @@ -20,12 +26,6 @@ public sealed partial class SpeechConfig [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] public string? LanguageCode { get; set; } - /// - /// The configuration for the voice to use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] - public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class SpeechConfig /// /// Initializes a new instance of the class. /// + /// + /// The configuration for the voice to use. + /// /// /// The configuration for the multi-speaker setup. /// /// /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// - /// - /// The configuration for the voice to use. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( + global::Google.Gemini.VoiceConfig? voiceConfig, global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, - string? languageCode, - global::Google.Gemini.VoiceConfig? voiceConfig) + string? languageCode) { + this.VoiceConfig = voiceConfig; this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; this.LanguageCode = languageCode; - this.VoiceConfig = voiceConfig; } /// 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 d40cd9d8..d1de5ffc 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Status { - /// - /// The status code, which should be an enum value of google.rpc.Code. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("code")] - public int? Code { get; set; } - /// /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// @@ -26,6 +20,12 @@ public sealed partial class Status [global::System.Text.Json.Serialization.JsonPropertyName("details")] public global::System.Collections.Generic.IList? Details { get; set; } + /// + /// The status code, which should be an enum value of google.rpc.Code. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("code")] + public int? Code { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class Status /// /// Initializes a new instance of the class. /// - /// - /// The status code, which should be an enum value of google.rpc.Code. - /// /// /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// /// /// A list of messages that carry the error details. There is a common set of message types for APIs to use. /// + /// + /// The status code, which should be an enum value of google.rpc.Code. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Status( - int? code, string? message, - global::System.Collections.Generic.IList? details) + global::System.Collections.Generic.IList? details, + int? code) { - this.Code = code; this.Message = message; this.Details = details; + this.Code = code; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs index 052cb0ae..95d9ceec 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 @@ -20,12 +20,6 @@ public sealed partial class StreamableHttpTransport [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] public string? Timeout { 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; } - /// /// Timeout for SSE read operations. /// @@ -38,6 +32,12 @@ public sealed partial class StreamableHttpTransport [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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -53,30 +53,30 @@ public sealed partial class StreamableHttpTransport /// /// HTTP timeout for regular operations. /// - /// - /// Optional: Fields for authentication headers, timeouts, etc., if needed. - /// /// /// Timeout for SSE read operations. /// /// /// Whether to close the client session when the transport closes. /// + /// + /// Optional: Fields for authentication headers, timeouts, etc., if needed. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( string? url, string? timeout, - global::System.Collections.Generic.Dictionary? headers, string? sseReadTimeout, - bool? terminateOnClose) + bool? terminateOnClose, + global::System.Collections.Generic.Dictionary? headers) { this.Url = url; this.Timeout = timeout; - this.Headers = headers; this.SseReadTimeout = sseReadTimeout; this.TerminateOnClose = terminateOnClose; + this.Headers = headers; } /// 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 f6546f19..6470d5f7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class ThinkingConfig { + /// + /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingLevel")] + [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. /// @@ -20,13 +27,6 @@ public sealed partial class ThinkingConfig [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] public int? ThinkingBudget { get; set; } - /// - /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingLevel")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter))] - public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ThinkingConfig /// /// Initializes a new instance of the class. /// + /// + /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error. + /// /// /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. /// /// /// The number of thoughts tokens that the model should generate. /// - /// - /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ThinkingConfig( + global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel, bool? includeThoughts, - int? thinkingBudget, - global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel) + int? thinkingBudget) { + this.ThinkingLevel = thinkingLevel; this.IncludeThoughts = includeThoughts; this.ThinkingBudget = thinkingBudget; - this.ThinkingLevel = thinkingLevel; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs index 11f80e0d..e80e0095 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 @@ -8,24 +8,18 @@ namespace Google.Gemini /// public sealed partial class Tool { - /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] - public global::Google.Gemini.CodeExecution? CodeExecution { 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; } - /// /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } + /// + /// Tool to retrieve public web data for grounding, powered by Google. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] + public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } + /// /// Tool to support URL context retrieval. /// @@ -33,16 +27,16 @@ public sealed partial class Tool public global::Google.Gemini.UrlContext? UrlContext { get; set; } /// - /// Tool to retrieve public web data for grounding, powered by Google. + /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] - public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] + public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] - public global::Google.Gemini.FileSearch? FileSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] + public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } /// /// Computer Use tool type. @@ -50,6 +44,12 @@ public sealed partial class Tool [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] + public global::Google.Gemini.FileSearch? FileSearch { get; set; } + /// /// Optional. MCP Servers to connect to. /// @@ -57,10 +57,10 @@ public sealed partial class Tool public global::System.Collections.Generic.IList? McpServers { 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. + /// 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("functionDeclarations")] - public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] + public global::Google.Gemini.CodeExecution? CodeExecution { 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. /// - /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. - /// - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. - /// /// /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// + /// + /// Tool to retrieve public web data for grounding, powered by Google. + /// /// /// Tool to support URL context retrieval. /// - /// - /// Tool to retrieve public web data for grounding, powered by Google. + /// + /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// - /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// /// /// Computer Use tool type. /// + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// /// /// Optional. MCP Servers to connect to. /// - /// - /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. + /// + /// Tool 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( - global::Google.Gemini.CodeExecution? codeExecution, - global::Google.Gemini.GoogleMaps? googleMaps, global::Google.Gemini.GoogleSearch? googleSearch, - global::Google.Gemini.UrlContext? urlContext, global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, - global::Google.Gemini.FileSearch? fileSearch, + global::Google.Gemini.UrlContext? urlContext, + global::System.Collections.Generic.IList? functionDeclarations, + global::Google.Gemini.GoogleMaps? googleMaps, global::Google.Gemini.ComputerUse? computerUse, + global::Google.Gemini.FileSearch? fileSearch, global::System.Collections.Generic.IList? mcpServers, - global::System.Collections.Generic.IList? functionDeclarations) + global::Google.Gemini.CodeExecution? codeExecution) { - this.CodeExecution = codeExecution; - this.GoogleMaps = googleMaps; this.GoogleSearch = googleSearch; - this.UrlContext = urlContext; this.GoogleSearchRetrieval = googleSearchRetrieval; - this.FileSearch = fileSearch; + this.UrlContext = urlContext; + this.FunctionDeclarations = functionDeclarations; + this.GoogleMaps = googleMaps; this.ComputerUse = computerUse; + this.FileSearch = fileSearch; this.McpServers = mcpServers; - this.FunctionDeclarations = functionDeclarations; + this.CodeExecution = codeExecution; } /// 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 5299728a..e9a35041 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 { /// - /// Configuration for specifying function calling behavior. + /// Retrieval config. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] - public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] + public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } /// /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. @@ -21,10 +21,10 @@ public sealed partial class ToolConfig public bool? IncludeServerSideToolInvocations { get; set; } /// - /// Retrieval config. + /// Configuration for specifying function calling behavior. /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] - public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] + public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { 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. /// - /// - /// 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. /// - /// - /// Retrieval config. + /// + /// Configuration for specifying function calling behavior. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( - global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, + global::Google.Gemini.RetrievalConfig? retrievalConfig, bool? includeServerSideToolInvocations, - global::Google.Gemini.RetrievalConfig? retrievalConfig) + global::Google.Gemini.FunctionCallingConfig? functionCallingConfig) { - this.FunctionCallingConfig = functionCallingConfig; - this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; this.RetrievalConfig = retrievalConfig; + this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; + this.FunctionCallingConfig = functionCallingConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs index e99681cb..a19a61c7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class ToolResponse { /// - /// Optional. The identifier of the tool call this response is for. + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] + public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } /// /// Optional. The tool response. @@ -21,11 +22,10 @@ public sealed partial class ToolResponse public object? Response { get; set; } /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// Optional. The identifier of the tool call this response is for. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] - public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -36,26 +36,26 @@ public sealed partial class ToolResponse /// /// Initializes a new instance of the class. /// - /// - /// Optional. The identifier of the tool call this response is for. + /// + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. /// /// /// Optional. The tool response. /// - /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// + /// Optional. The identifier of the tool call this response is for. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolResponse( - string? id, + global::Google.Gemini.ToolResponseToolType? toolType, object? response, - global::Google.Gemini.ToolResponseToolType? toolType) + string? id) { - this.Id = id; - this.Response = response; this.ToolType = toolType; + this.Response = response; + this.Id = id; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs index 551a7f29..de4101fb 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 @@ -9,28 +9,23 @@ namespace Google.Gemini public sealed partial class TunedModel { /// - /// Tuning tasks that create tuned models. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { get; set; } - - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// Tuned model as a source for training a new model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] - public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] + public global::Google.Gemini.TunedModelSource? TunedModelSource { 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 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("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// Optional. List of project numbers that have read access to the tuned model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] + public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` @@ -39,31 +34,31 @@ public sealed partial class TunedModel public string? BaseModel { get; set; } /// - /// Output only. The state of the tuned model.
+ /// Output only. The timestamp when this model was updated.
/// Included only in responses /// - [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("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. The timestamp when this model was created.
+ /// Output only. The state of the tuned model.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] + public global::Google.Gemini.TunedModelState? State { get; set; } /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// 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("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Optional. A short description of this model. + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. @@ -72,24 +67,29 @@ public sealed partial class TunedModel public int? TopK { get; set; } /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses + /// Tuning tasks that create tuned models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } /// - /// Output only. The timestamp when this model was updated.
+ /// Output only. The timestamp when this model was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Tuned model as a source for training a new model. + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] - public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Optional. A short description of this model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -100,25 +100,39 @@ public sealed partial class TunedModel /// /// Initializes a new instance of the class. /// - /// - /// Tuning tasks that create tuned models. + /// + /// Tuned model as a source for training a new model. + /// + /// + /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// Included only in responses /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. - /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// + /// + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses + /// /// /// Output only. The state of the tuned model.
/// Included only in responses /// + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Output only. The timestamp when this model was created.
/// Included only in responses @@ -129,51 +143,37 @@ public sealed partial class TunedModel /// /// 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. - /// - /// - /// 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 - /// - /// - /// Output only. The timestamp when this model was updated.
- /// Included only in responses - /// - /// - /// Tuned model as a source for training a new model. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( - global::Google.Gemini.TuningTask? tuningTask, + global::Google.Gemini.TunedModelSource? tunedModelSource, + string? name, global::System.Collections.Generic.IList? readerProjectNumbers, - float? topP, - float? temperature, string? baseModel, + string? updateTime, global::Google.Gemini.TunedModelState? state, + float? temperature, + float? topP, + int? topK, + global::Google.Gemini.TuningTask? tuningTask, string? createTime, string? displayName, - string? description, - int? topK, - string? name, - string? updateTime, - global::Google.Gemini.TunedModelSource? tunedModelSource) + string? description) { - this.TuningTask = tuningTask; + this.TunedModelSource = tunedModelSource; + this.Name = name; this.ReaderProjectNumbers = readerProjectNumbers; - this.TopP = topP; - this.Temperature = temperature; this.BaseModel = baseModel; + this.UpdateTime = updateTime; this.State = state; + this.Temperature = temperature; + this.TopP = topP; + this.TopK = topK; + this.TuningTask = tuningTask; this.CreateTime = createTime; this.DisplayName = displayName; this.Description = description; - this.TopK = topK; - this.Name = name; - this.UpdateTime = updateTime; - this.TunedModelSource = tunedModelSource; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs index bafee2ce..ceaaa53f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class TunedModelSource { - /// - /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModel")] - public string? TunedModel { get; set; } - /// /// Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`
/// Included only in responses @@ -21,6 +15,12 @@ public sealed partial class TunedModelSource [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] public string? BaseModel { get; set; } + /// + /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModel")] + public string? TunedModel { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class TunedModelSource /// /// Initializes a new instance of the class. /// - /// - /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` - /// /// /// Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`
/// Included only in responses /// + /// + /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModelSource( - string? tunedModel, - string? baseModel) + string? baseModel, + string? tunedModel) { - this.TunedModel = tunedModel; this.BaseModel = baseModel; + this.TunedModel = tunedModel; } /// 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 11270981..d046de8b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class TuningTask { + /// + /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// + [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] + public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } + /// /// Dataset for training or validation. /// @@ -15,17 +21,18 @@ public sealed partial class TuningTask public global::Google.Gemini.Dataset? TrainingData { get; set; } /// - /// Output only. Metrics collected during tuning.
+ /// Output only. The timestamp when tuning this model completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] - public global::System.Collections.Generic.IList? Snapshots { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] + public string? CompleteTime { get; set; } /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// Output only. Metrics collected during tuning.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] - public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] + public global::System.Collections.Generic.IList? Snapshots { get; set; } /// /// Output only. The timestamp when tuning this model started.
@@ -34,13 +41,6 @@ public sealed partial class TuningTask [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] public string? StartTime { get; set; } - /// - /// Output only. The timestamp when tuning this model completed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] - public string? CompleteTime { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -50,39 +50,39 @@ public sealed partial class TuningTask /// /// Initializes a new instance of the class. /// + /// + /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// /// /// Dataset for training or validation. /// + /// + /// Output only. The timestamp when tuning this model completed.
+ /// Included only in responses + /// /// /// Output only. Metrics collected during tuning.
/// Included only in responses /// - /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance - /// /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// - /// - /// Output only. The timestamp when tuning this model completed.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( + global::Google.Gemini.Hyperparameters? hyperparameters, global::Google.Gemini.Dataset? trainingData, + string? completeTime, global::System.Collections.Generic.IList? snapshots, - global::Google.Gemini.Hyperparameters? hyperparameters, - string? startTime, - string? completeTime) + string? startTime) { + this.Hyperparameters = hyperparameters; this.TrainingData = trainingData; + this.CompleteTime = completeTime; this.Snapshots = snapshots; - this.Hyperparameters = hyperparameters; this.StartTime = startTime; - this.CompleteTime = completeTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs index 2e77d4e4..1f026e73 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class UploadToFileSearchStoreRequest { - /// - /// 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. /// @@ -21,10 +15,10 @@ public sealed partial class UploadToFileSearchStoreRequest 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 + /// Optional. Display name of the created document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] - public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. @@ -32,6 +26,12 @@ public sealed partial class UploadToFileSearchStoreRequest [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] + public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. Display name of the created document. - /// /// /// Custom metadata to be associated with the data. /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + /// Optional. Display name of the created document. /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UploadToFileSearchStoreRequest( - string? displayName, global::System.Collections.Generic.IList? customMetadata, - global::Google.Gemini.ChunkingConfig? chunkingConfig, - string? mimeType) + string? displayName, + string? mimeType, + global::Google.Gemini.ChunkingConfig? chunkingConfig) { - this.DisplayName = displayName; this.CustomMetadata = customMetadata; - this.ChunkingConfig = chunkingConfig; + this.DisplayName = displayName; this.MimeType = mimeType; + this.ChunkingConfig = chunkingConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs index 97f3a45b..54d0ec36 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs @@ -9,38 +9,36 @@ namespace Google.Gemini public sealed partial class UsageMetadata { /// - /// Output only. List of modalities that were returned in the response.
+ /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] - public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] + public int? ThoughtsTokenCount { get; set; } /// - /// Output only. Number of tokens present in tool-use prompt(s).
- /// Included only in responses + /// Total token count for the generation request (prompt + thoughts + response candidates). /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] - public int? ToolUsePromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] + public int? TotalTokenCount { get; set; } /// - /// Output only. Number of tokens of thoughts for thinking models.
+ /// Output only. List of modalities that were processed for tool-use request inputs.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] - public int? ThoughtsTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] + public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } /// - /// Total token count for the generation request (prompt + thoughts + response candidates). + /// Total number of tokens across all the generated response candidates. /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] - public int? TotalTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { get; set; } /// /// Output only. List of modalities of the cached content in the request input.
@@ -58,29 +56,31 @@ public sealed partial class UsageMetadata public global::Google.Gemini.UsageMetadataServiceTier? ServiceTier { 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. + /// Output only. List of modalities that were processed in the request input.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] - public int? PromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] - public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] + public int? ToolUsePromptTokenCount { get; set; } /// - /// Number of tokens in the cached part of the prompt (the cached content) + /// Output only. List of modalities that were returned in the response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] + public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } /// - /// Total number of tokens across all the generated response candidates. + /// Number of tokens in the cached part of the prompt (the cached content) /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -105,25 +105,23 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Output only. List of modalities that were returned in the response.
- /// Included only in responses - /// - /// - /// Output only. Number of tokens present in tool-use prompt(s).
- /// Included only in responses - /// /// /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses - /// /// /// Total token count for the generation request (prompt + thoughts + response candidates). /// + /// + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// 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. + /// + /// + /// Total number of tokens across all the generated response candidates. + /// /// /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses @@ -132,19 +130,21 @@ public sealed partial class UsageMetadata /// Output only. Service tier of the request.
/// 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 in the request input.
+ /// Included only in responses /// - /// - /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// + /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Included only in responses + /// + /// + /// Output only. List of modalities that were returned in the response.
/// Included only in responses /// /// /// Number of tokens in the cached part of the prompt (the cached content) /// - /// - /// Total number of tokens across all the generated response candidates. - /// /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
/// Included only in responses @@ -157,31 +157,31 @@ public sealed partial class UsageMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UsageMetadata( - global::System.Collections.Generic.IList? candidatesTokensDetails, - int? toolUsePromptTokenCount, int? thoughtsTokenCount, - global::System.Collections.Generic.IList? promptTokensDetails, int? totalTokenCount, + global::System.Collections.Generic.IList? toolUsePromptTokensDetails, + int? promptTokenCount, + int? candidatesTokenCount, global::System.Collections.Generic.IList? cacheTokensDetails, global::Google.Gemini.UsageMetadataServiceTier? serviceTier, - int? promptTokenCount, - global::System.Collections.Generic.IList? toolUsePromptTokensDetails, + global::System.Collections.Generic.IList? promptTokensDetails, + int? toolUsePromptTokenCount, + global::System.Collections.Generic.IList? candidatesTokensDetails, int? cachedContentTokenCount, - int? candidatesTokenCount, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { - this.CandidatesTokensDetails = candidatesTokensDetails; - this.ToolUsePromptTokenCount = toolUsePromptTokenCount; this.ThoughtsTokenCount = thoughtsTokenCount; - this.PromptTokensDetails = promptTokensDetails; this.TotalTokenCount = totalTokenCount; + this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; + this.PromptTokenCount = promptTokenCount; + this.CandidatesTokenCount = candidatesTokenCount; this.CacheTokensDetails = cacheTokensDetails; this.ServiceTier = serviceTier; - this.PromptTokenCount = promptTokenCount; - this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; + this.PromptTokensDetails = promptTokensDetails; + this.ToolUsePromptTokenCount = toolUsePromptTokenCount; + this.CandidatesTokensDetails = candidatesTokensDetails; this.CachedContentTokenCount = cachedContentTokenCount; - this.CandidatesTokenCount = candidatesTokenCount; 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 011001b8..681e8195 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 @@ -9,6 +9,13 @@ namespace Google.Gemini [global::System.Obsolete("This model marked as deprecated.")] public sealed partial class VideoMetadata { + /// + /// Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fps")] + [global::System.Obsolete("This property marked as deprecated.")] + public double? Fps { get; set; } + /// /// Optional. The start offset of the video. /// @@ -23,13 +30,6 @@ public sealed partial class VideoMetadata [global::System.Obsolete("This property marked as deprecated.")] 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]. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fps")] - [global::System.Obsolete("This property marked as deprecated.")] - public double? Fps { 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 frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. + /// /// /// Optional. The start offset of the video. /// /// /// Optional. The end offset of the video. /// - /// - /// Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public VideoMetadata( + double? fps, string? startOffset, - string? endOffset, - double? fps) + string? endOffset) { + this.Fps = fps; this.StartOffset = startOffset; this.EndOffset = endOffset; - this.Fps = fps; } /// diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index 156672ca..553ae8a4 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,26 +11,29 @@ } ], "paths": { - "/fileSearchStores": { - "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/FileSearchStore" - } + "/batches/{batchesId}": { + "delete": { + "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", + "operationId": "batches.delete", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "The name of the operation resource to be deleted.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Empty" } } } @@ -38,24 +41,17 @@ } }, "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "batches.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", - "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": "batchesId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { - "type": "string" + "type": "string", + "pattern": "^batches/[^/]+$" } } ], @@ -65,7 +61,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -73,19 +69,42 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}": { + "/batches": { "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "batches.list", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "name": "filter", + "in": "query", + "description": "The standard list filter.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "type": "string" + } + }, + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } ], @@ -95,43 +114,55 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/ListOperationsResponse" } } } } } - }, - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", + } + }, + "/batches/{batchesId}:updateGenerateContentBatch": { + "patch": { + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { - "type": "boolean" + "type": "string", + "pattern": "^batches/[^/]+$" } }, { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentBatch" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -139,19 +170,28 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { - "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", "parameters": [ { - "name": "fileSearchStoresId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -159,7 +199,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ImportFileRequest" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -170,7 +210,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -178,27 +218,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", + "/batches/{batchesId}:cancel": { + "post": { + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", + "name": "batchesId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -208,7 +240,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -216,37 +248,38 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.upload.operations.get", + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "post": { + "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", "parameters": [ - { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, { "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } @@ -254,71 +287,51 @@ } } }, - "/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/[^/]+$" + "/files": { + "post": { + "description": "Creates a `File`.", + "operationId": "media.upload", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateFileRequest" + } } } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/CreateFileResponse" } } } } } }, - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", - "parameters": [ - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, + "get": { + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", + "parameters": [ { - "name": "force", + "name": "pageSize", "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.", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { - "type": "boolean" + "type": "integer", + "format": "int32" } }, { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListFiles` call.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "type": "string" } } ], @@ -328,7 +341,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListFilesResponse" } } } @@ -336,15 +349,15 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents": { + "/generatedFiles": { "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", "schema": { "type": "integer", "format": "int32" @@ -353,20 +366,10 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", "schema": { "type": "string" } - }, - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+$" - } } ], "responses": { @@ -375,7 +378,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/ListGeneratedFilesResponse" } } } @@ -383,63 +386,27 @@ } } }, - "/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", + "/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": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - } + "type": "string" } - } - } - } - }, - "/tunedModels/{tunedModelsId}": { - "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", - "parameters": [ + }, { - "name": "tunedModelsId", + "name": "generatedFilesId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" } } ], @@ -449,53 +416,37 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + } + }, + "/fileSearchStores/{fileSearchStoresId}": { + "get": { + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^fileSearchStores/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -503,66 +454,35 @@ } }, "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } - } + "type": "boolean" } - } - } - } - }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", - "parameters": [ + }, { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -570,19 +490,19 @@ } } }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "/fileSearchStores/{fileSearchStoresId}:importFile": { "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -590,7 +510,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/ImportFileRequest" } } } @@ -609,25 +529,15 @@ } } }, - "/tunedModels": { + "/fileSearchStores": { "post": { - "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", - "operationId": "tunedModels.create", - "parameters": [ - { - "name": "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" - } - } - ], + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -638,7 +548,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -646,21 +556,13 @@ } }, "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", - "schema": { - "type": "string" - } - }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "Optional. The maximum number of `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" @@ -669,7 +571,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "description": "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" } @@ -681,7 +583,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" } } } @@ -689,77 +591,37 @@ } } }, - "/tunedModels/{tunedModelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "tunedModels.generateContent", + "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - } + "type": "string" } - } - } - } - }, - "/tunedModels/{tunedModelsId}:transferOwnership": { - "post": { - "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", - "operationId": "tunedModels.transferOwnership", - "parameters": [ + }, { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -767,73 +629,27 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions": { - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - } - } - }, - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } }, { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], @@ -843,7 +659,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -851,13 +667,13 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { + "get": { + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, "schema": { @@ -865,41 +681,23 @@ } }, { - "name": "permissionsId", + "name": "documentsId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Document" } } } @@ -907,11 +705,11 @@ } }, "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, "schema": { @@ -919,13 +717,21 @@ } }, { - "name": "permissionsId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "documentsId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], @@ -941,27 +747,38 @@ } } } - }, + } + }, + "/fileSearchStores/{fileSearchStoresId}/documents": { "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", + "schema": { + "type": "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": "permissionsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -971,7 +788,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } @@ -979,37 +796,43 @@ } } }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "tunedModels.operations.get", + "/tunedModels/{tunedModelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "tunedModels.streamGenerateContent", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "operationsId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1017,33 +840,23 @@ } } }, - "/tunedModels/{tunedModelsId}/operations": { + "/tunedModels": { "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "tunedModels.operations.list", + "description": "Lists created tuned models.", + "operationId": "tunedModels.list", "parameters": [ { "name": "filter", "in": "query", - "description": "The standard list filter.", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", "schema": { "type": "string" } }, - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -1052,18 +865,10 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", "schema": { "type": "string" } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } } ], "responses": { @@ -1072,36 +877,23 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } } } - } - }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + }, + "post": { + "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", + "operationId": "tunedModels.create", "parameters": [ { - "name": "batchesId", - "in": "path", - "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", + "name": "tunedModelId", "in": "query", - "description": "Optional. The list of fields to update.", + "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", - "format": "google-fieldmask" + "type": "string" } } ], @@ -1109,7 +901,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/TunedModel" } } } @@ -1120,7 +912,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/Operation" } } } @@ -1128,19 +920,19 @@ } } }, - "/batches/{batchesId}:updateEmbedContentBatch": { + "/tunedModels/{tunedModelsId}": { "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", "parameters": [ { - "name": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "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": "^batches/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } }, { @@ -1157,7 +949,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/TunedModel" } } } @@ -1168,27 +960,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/TunedModel" } } } } } - } - }, - "/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", + }, + "delete": { + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { - "name": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1198,25 +988,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } } } }, - "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", + "get": { + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", "parameters": [ { - "name": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource to be deleted.", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1226,7 +1016,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/TunedModel" } } } @@ -1234,52 +1024,38 @@ } } }, - "/batches": { - "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "batches.list", + "/tunedModels/{tunedModelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", - "schema": { - "type": "string" - } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "boolean" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1287,29 +1063,38 @@ } } }, - "/batches/{batchesId}:cancel": { + "/tunedModels/{tunedModelsId}:transferOwnership": { "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": "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": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TransferOwnershipRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } @@ -1317,19 +1102,19 @@ } } }, - "/models/{modelsId}:asyncBatchEmbedContent": { + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { "post": { "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1356,19 +1141,19 @@ } } }, - "/models/{modelsId}:streamGenerateContent": { + "/tunedModels/{tunedModelsId}:batchGenerateContent": { "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1376,7 +1161,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -1387,42 +1172,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - } - } - } - } - } - }, - "/models/{modelsId}": { - "get": { - "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", - "operationId": "models.get", - "parameters": [ - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/Operation" } } } @@ -1430,19 +1180,19 @@ } } }, - "/models/{modelsId}:embedContent": { + "/tunedModels/{tunedModelsId}/permissions": { "post": { - "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", - "operationId": "models.embedContent", + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "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/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1450,7 +1200,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -1461,62 +1211,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/models/{modelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", - "parameters": [ - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } - } - } - } - } - }, - "/models": { + }, "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -1525,58 +1234,29 @@ { "name": "pageToken", "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListModelsResponse" - } - } - } - } - } - } - }, - "/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": "modelsId", + "name": "tunedModelsId", "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/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CountTokensRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -1584,19 +1264,36 @@ } } }, - "/models/{modelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "models.generateContent", + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -1604,7 +1301,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -1615,60 +1312,55 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/models/{modelsId}:batchEmbedContents": { - "post": { - "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", - "operationId": "models.batchEmbedContents", + }, + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/models/{modelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "models.operations.get", + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -1676,13 +1368,13 @@ } }, { - "name": "modelsId", + "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": "^models/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -1692,7 +1384,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -1700,10 +1392,10 @@ } } }, - "/models/{modelsId}/operations": { + "/tunedModels/{tunedModelsId}/operations": { "get": { "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "models.operations.list", + "operationId": "tunedModels.operations.list", "parameters": [ { "name": "filter", @@ -1714,13 +1406,13 @@ } }, { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, "description": "The name of the operation's parent resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } }, { @@ -1763,19 +1455,57 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "/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": "tunedModelsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "operationsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + } + }, + "/dynamic/{dynamicId}:generateContent": { "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", + "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": "fileSearchStoresId", + "name": "dynamicId", "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/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -1783,7 +1513,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1794,7 +1524,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1802,15 +1532,27 @@ } } }, - "/files": { + "/dynamic/{dynamicId}:streamGenerateContent": { "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", + "parameters": [ + { + "name": "dynamicId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string", + "pattern": "^dynamic/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1821,42 +1563,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/GenerateContentResponse" } - } - } - } - } - }, - "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", - "schema": { - "type": "string" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { + }, + "text/event-stream": { "schema": { - "$ref": "#/components/schemas/ListFilesResponse" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1864,19 +1576,19 @@ } } }, - "/files/{filesId}": { + "/models/{modelsId}": { "get": { - "description": "Gets the metadata for the given `File`.", - "operationId": "files.get", + "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", + "operationId": "models.get", "parameters": [ { - "name": "filesId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1886,51 +1598,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/Model" } } } } } - }, - "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", + } + }, + "/models/{modelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "models.streamGenerateContent", "parameters": [ { - "name": "filesId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^models/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } - } - } - } - } - } - }, - "/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" } } } @@ -1941,7 +1637,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesResponse" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1949,15 +1650,15 @@ } } }, - "/generatedFiles": { + "/models": { "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.list", + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -1966,7 +1667,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", "schema": { "type": "string" } @@ -1978,7 +1679,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/ListModelsResponse" } } } @@ -1986,37 +1687,38 @@ } } }, - "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "generatedFiles.operations.get", + "/models/{modelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "models.generateContent", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "generatedFilesId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -2024,19 +1726,19 @@ } } }, - "/dynamic/{dynamicId}:generateContent": { + "/models/{modelsId}:batchGenerateContent": { "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": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "parameters": [ { - "name": "dynamicId", + "name": "modelsId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -2044,7 +1746,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -2055,7 +1757,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -2063,19 +1765,19 @@ } } }, - "/dynamic/{dynamicId}:streamGenerateContent": { + "/models/{modelsId}:embedContent": { "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 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": "dynamicId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -2083,7 +1785,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/EmbedContentRequest" } } } @@ -2094,12 +1796,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -2107,15 +1804,27 @@ } } }, - "/corpora": { + "/models/{modelsId}:batchEmbedContents": { "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", + "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", + "operationId": "models.batchEmbedContents", + "parameters": [ + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/BatchEmbedContentsRequest" } } } @@ -2126,42 +1835,46 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } } } - }, - "get": { - "description": "Lists all `Corpora` owned by the user.", - "operationId": "corpora.list", + } + }, + "/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": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { - "type": "string" + "type": "string", + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CountTokensRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCorporaResponse" + "$ref": "#/components/schemas/CountTokensResponse" } } } @@ -2169,55 +1882,91 @@ } } }, - "/corpora/{corporaId}": { - "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.delete", + "/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": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "corporaId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/models/{modelsId}/operations": { "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "models.operations.list", "parameters": [ { - "name": "corporaId", + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "The name of the operation's parent resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^models/[^/]+$" + } + }, + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } ], @@ -2227,7 +1976,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -2235,27 +1984,53 @@ } } }, - "/corpora/{corporaId}/permissions": { - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "corpora.permissions.create", + "/models/{modelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "models.operations.get", "parameters": [ { - "name": "corporaId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string" + } + }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + } + }, + "/corpora": { + "post": { + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Corpus" } } } @@ -2266,7 +2041,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Corpus" } } } @@ -2274,13 +2049,13 @@ } }, "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" @@ -2289,16 +2064,44 @@ { "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": { + "$ref": "#/components/schemas/ListCorporaResponse" + } + } + } + } + } + } + }, + "/corpora/{corporaId}": { + "delete": { + "description": "Deletes a `Corpus`.", + "operationId": "corpora.delete", + "parameters": [ + { + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", + "schema": { + "type": "boolean" + } }, { "name": "corporaId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", "pattern": "^corpora/[^/]+$" @@ -2311,7 +2114,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Empty" + } + } + } + } + } + }, + "get": { + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", + "parameters": [ + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Corpus" } } } @@ -2319,13 +2150,13 @@ } } }, - "/corpora/{corporaId}/permissions/{permissionsId}": { + "/corpora/{corporaId}/operations/{operationsId}": { "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.permissions.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "corpora.operations.get", "parameters": [ { - "name": "permissionsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -2336,10 +2167,10 @@ "name": "corporaId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -2349,16 +2180,18 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "patch": { - "description": "Updates the permission.", - "operationId": "corpora.permissions.patch", + } + }, + "/corpora/{corporaId}/permissions/{permissionsId}": { + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "corpora.permissions.get", "parameters": [ { "name": "permissionsId", @@ -2372,31 +2205,13 @@ "name": "corporaId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", "pattern": "^corpora/[^/]+/permissions/[^/]+$" } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", - "schema": { - "type": "string", - "format": "google-fieldmask" - } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", @@ -2445,15 +2260,13 @@ } } } - } - }, - "/corpora/{corporaId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "corpora.operations.get", + }, + "patch": { + "description": "Updates the permission.", + "operationId": "corpora.permissions.patch", "parameters": [ { - "name": "operationsId", + "name": "permissionsId", "in": "path", "required": true, "schema": { @@ -2464,20 +2277,38 @@ "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } @@ -2485,15 +2316,27 @@ } } }, - "/cachedContents": { + "/corpora/{corporaId}/permissions": { "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", + "description": "Create a permission to a specific resource.", + "operationId": "corpora.permissions.create", + "parameters": [ + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Permission" } } } @@ -2504,7 +2347,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Permission" } } } @@ -2512,13 +2355,13 @@ } }, "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + "description": "Lists permissions for the specific resource.", + "operationId": "corpora.permissions.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -2527,10 +2370,20 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+$" + } } ], "responses": { @@ -2539,7 +2392,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -2548,6 +2401,52 @@ } }, "/cachedContents/{cachedContentsId}": { + "patch": { + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", + "parameters": [ + { + "name": "cachedContentsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "schema": { + "type": "string", + "pattern": "^cachedContents/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } + } + } + }, "get": { "description": "Reads CachedContent resource.", "operationId": "cachedContents.get", @@ -2576,30 +2475,74 @@ } } }, - "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", + "delete": { + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", "parameters": [ { "name": "cachedContentsId", "in": "path", "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", "schema": { "type": "string", "pattern": "^cachedContents/[^/]+$" } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } + } + } + } + }, + "/cachedContents": { + "get": { + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", + "schema": { + "type": "integer", + "format": "int32" + } }, { - "name": "updateMask", + "name": "pageToken", "in": "query", - "description": "The list of fields to update.", + "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" } } ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListCachedContentsResponse" + } + } + } + } + } + }, + "post": { + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", "requestBody": { "content": { "application/json": { @@ -2621,19 +2564,49 @@ } } } + } + }, + "/files/{filesId}": { + "get": { + "description": "Gets the metadata for the given `File`.", + "operationId": "files.get", + "parameters": [ + { + "name": "filesId", + "in": "path", + "required": true, + "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "schema": { + "type": "string", + "pattern": "^files/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/File" + } + } + } + } + } }, "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", + "description": "Deletes the `File`.", + "operationId": "files.delete", "parameters": [ { - "name": "cachedContentsId", + "name": "filesId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^files/[^/]+$" } } ], @@ -2650,1251 +2623,943 @@ } } } + }, + "/files:register": { + "post": { + "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", + "operationId": "files.register", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RegisterFilesRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RegisterFilesResponse" + } + } + } + } + } + } } }, "components": { "schemas": { - "Tool": { - "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", + "CachedContentUsageMetadata": { + "description": "Metadata on the usage of the cached content.", + "type": "object", "properties": { - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" - }, - "googleMaps": { - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", - "$ref": "#/components/schemas/GoogleMaps" - }, - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" - }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" + "totalTokenCount": { + "type": "integer", + "format": "int32", + "description": "Total number of tokens that the cached content consumes." + } + } + }, + "ImportFileRequest": { + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", + "type": "object", + "properties": { + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "type": "string" }, - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" + "customMetadata": { + "type": "array", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + }, + "description": "Custom metadata to be associated with the file." }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" - }, - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" + } + } + }, + "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": { + "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" + ] }, - "mcpServers": { - "type": "array", - "description": "Optional. MCP Servers to connect to.", - "items": { - "$ref": "#/components/schemas/McpServer" + "response": { + "description": "Optional. The tool response.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." } }, - "functionDeclarations": { - "type": "array", - "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", - "items": { - "$ref": "#/components/schemas/FunctionDeclaration" - } + "id": { + "description": "Optional. The identifier of the tool call this response is for.", + "type": "string" } - }, - "type": "object" + } }, - "GoogleSearchRetrieval": { + "SemanticRetrieverChunk": { + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", "type": "object", - "description": "Tool to retrieve public web data for grounding, powered by Google.", "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" + "chunk": { + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "readOnly": true, + "type": "string" + }, + "source": { + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", + "readOnly": true, + "type": "string" } } }, - "VoiceConfig": { + "InputEmbedContentConfig": { + "description": "Configures the input to the batch request.", "type": "object", - "description": "The configuration for the voice to use.", "properties": { - "prebuiltVoiceConfig": { - "description": "The configuration for the prebuilt voice to use.", - "$ref": "#/components/schemas/PrebuiltVoiceConfig" + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" + }, + "fileName": { + "description": "The name of the `File` containing the input requests.", + "type": "string" } } }, - "UploadToFileSearchStoreRequest": { + "VideoMetadata": { + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "deprecated": true, "type": "object", - "description": "Request for `UploadToFileSearchStore`.", "properties": { - "displayName": { - "description": "Optional. Display name of the created document.", - "type": "string" - }, - "customMetadata": { - "type": "array", - "description": "Custom metadata to be associated with the data.", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - } + "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]." }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "startOffset": { + "type": "string", + "format": "google-duration", + "description": "Optional. The start offset of the video." }, - "mimeType": { - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", - "type": "string" + "endOffset": { + "type": "string", + "format": "google-duration", + "description": "Optional. The end offset of the video." } } }, - "EmbeddingUsageMetadata": { - "description": "Metadata on the usage of the embedding request.", + "ListPermissionsResponse": { + "type": "object", "properties": { - "promptTokenCount": { - "readOnly": true, - "format": "int32", - "description": "Output only. Number of tokens in the prompt.", - "type": "integer" + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" }, - "promptTokenDetails": { - "readOnly": true, - "description": "Output only. List of modalities that were processed in the request input.", + "permissions": { + "description": "Returned permissions.", + "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "type": "array" + "$ref": "#/components/schemas/Permission" + } } }, - "type": "object" + "description": "Response from `ListPermissions` containing a paginated list of permissions." }, - "UsageMetadata": { - "description": "Metadata on the generation request's token usage.", + "CountTokensResponse": { + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "type": "object", "properties": { - "candidatesTokensDetails": { - "type": "array", - "description": "Output only. List of modalities that were returned in the response.", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "readOnly": true - }, - "toolUsePromptTokenCount": { + "cachedContentTokenCount": { + "description": "Number of tokens in the cached part of the prompt (the cached content).", "type": "integer", - "readOnly": true, - "format": "int32", - "description": "Output only. Number of tokens present in tool-use prompt(s)." - }, - "thoughtsTokenCount": { - "description": "Output only. Number of tokens of thoughts for thinking models.", - "readOnly": true, - "format": "int32", - "type": "integer" + "format": "int32" }, "promptTokensDetails": { - "readOnly": true, - "description": "Output only. List of modalities that were processed in the request input.", + "type": "array", "items": { "$ref": "#/components/schemas/ModalityTokenCount" }, - "type": "array" - }, - "totalTokenCount": { - "type": "integer", - "description": "Total token count for the generation request (prompt + thoughts + response candidates).", - "format": "int32" + "description": "Output only. List of modalities that were processed in the request input.", + "readOnly": true }, "cacheTokensDetails": { - "type": "array", + "description": "Output only. List of modalities that were processed in the cached content.", "readOnly": true, - "description": "Output only. List of modalities of the cached content in the request input.", + "type": "array", "items": { "$ref": "#/components/schemas/ModalityTokenCount" } }, - "serviceTier": { - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ], - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ], - "readOnly": true, - "description": "Output only. Service tier of the request.", - "type": "string" - }, - "promptTokenCount": { - "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", - "format": "int32", - "type": "integer" - }, - "toolUsePromptTokensDetails": { - "description": "Output only. List of modalities that were processed for tool-use request inputs.", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "readOnly": true, - "type": "array" - }, - "cachedContentTokenCount": { - "format": "int32", - "description": "Number of tokens in the cached part of the prompt (the cached content)", - "type": "integer" - }, - "candidatesTokenCount": { - "type": "integer", - "format": "int32", - "description": "Total number of tokens across all the generated response candidates." - }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "totalTokens": { + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", "type": "integer", - "format": "int32", - "readOnly": true - }, - "responseTokensDetails": { - "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "format": "int32" } - }, - "type": "object" + } }, - "Schema": { + "GenerationConfig": { "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).", "properties": { - "minimum": { - "type": "number", - "format": "double", - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER" + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." }, - "minItems": { - "type": "string", - "description": "Optional. Minimum number of the elements for Type.ARRAY.", - "format": "int64" + "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" }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" + "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." }, - "required": { - "description": "Optional. Required properties of Type.OBJECT.", - "items": { - "type": "string" - }, - "type": "array" + "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" }, - "maxProperties": { - "description": "Optional. Maximum number of the properties for Type.OBJECT.", - "format": "int64", - "type": "string" + "frequencyPenalty": { + "type": "number", + "format": "float", + "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit." }, - "anyOf": { - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", - "items": { - "$ref": "#/components/schemas/Schema" - }, - "type": "array" - }, - "format": { - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", - "type": "string" - }, - "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" - }, - "maxLength": { - "format": "int64", - "description": "Optional. Maximum length of the Type.STRING", - "type": "string" + "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" }, - "minLength": { - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", - "format": "int64", - "type": "string" + "responseFormat": { + "description": "Optional. Configuration for the response output format. Allows specifying output configuration per modality (text, audio, image) in a flat structure.", + "$ref": "#/components/schemas/ResponseFormatConfig" }, - "title": { - "description": "Optional. The title of the schema.", - "type": "string" + "responseSchema": { + "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", + "$ref": "#/components/schemas/Schema" }, - "minProperties": { - "type": "string", - "description": "Optional. Minimum number of the properties for Type.OBJECT.", - "format": "int64" + "responseLogprobs": { + "description": "Optional. If true, export the logprobs results in response.", + "type": "boolean" }, - "type": { + "mediaResolution": { "type": "string", "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" + "MEDIA_RESOLUTION_UNSPECIFIED", + "MEDIA_RESOLUTION_LOW", + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" ], - "description": "Required. Data type.", + "description": "Optional. If specified, the media resolution specified will be used.", "x-enum-descriptions": [ - "Not specified, should not be used.", - "String type.", - "Number type.", - "Integer type.", - "Boolean type.", - "Array type.", - "Object type.", - "Null type." + "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)." ] }, - "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." - }, - "nullable": { - "description": "Optional. Indicates if the value may be null.", - "type": "boolean" - }, - "description": { - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", - "type": "string" - }, - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", - "type": "string" + "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." }, - "maxItems": { - "type": "string", - "format": "int64", - "description": "Optional. Maximum number of the elements for Type.ARRAY." + "translationConfig": { + "description": "Optional. Config for translation.", + "$ref": "#/components/schemas/TranslationConfig" }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." + "logprobs": { + "type": "integer", + "format": "int32", + "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]." }, - "properties": { - "description": "Optional. Properties of Type.OBJECT.", - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/Schema" - } + "speechConfig": { + "description": "Optional. The speech generation config.", + "$ref": "#/components/schemas/SpeechConfig" }, - "maximum": { - "type": "number", - "format": "double", - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER" + "maxOutputTokens": { + "type": "integer", + "format": "int32", + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function." }, - "propertyOrdering": { + "stopSequences": { + "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", "type": "array", - "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", "items": { "type": "string" } - } - } - }, - "Dataset": { - "type": "object", - "description": "Dataset for training or validation.", - "properties": { - "examples": { - "description": "Optional. Inline examples with simple input/output text.", - "$ref": "#/components/schemas/TuningExamples" - } - } - }, - "CustomLongRunningOperation": { - "type": "object", - "properties": { - "done": { - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", - "type": "boolean" - }, - "response": { - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", + "type": "boolean" }, - "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "responseMimeType": { + "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types.", "type": "string" }, - "metadata": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any." - } - } - }, - "GoogleAiGenerativelanguageV1betaSegment": { - "type": "object", - "description": "Segment of the content.", - "properties": { - "partIndex": { - "description": "The index of a Part object within its parent Content object.", - "format": "int32", - "type": "integer" - }, - "startIndex": { - "format": "int32", - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", - "type": "integer" + "thinkingConfig": { + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", + "$ref": "#/components/schemas/ThinkingConfig" }, - "endIndex": { + "seed": { + "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.", - "type": "integer" - }, - "text": { - "description": "The text corresponding to the segment from the response.", - "type": "string" - } - } - }, - "GroundingChunk": { - "type": "object", - "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", - "properties": { - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" - }, - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed." }, - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" + "imageConfig": { + "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", + "$ref": "#/components/schemas/ImageConfig" }, - "maps": { - "description": "Optional. Grounding chunk from Google Maps.", - "$ref": "#/components/schemas/Maps" - } - } - }, - "RetrievalMetadata": { - "type": "object", - "description": "Metadata related to retrieval in the grounding flow.", - "properties": { - "googleSearchDynamicRetrievalScore": { - "type": "number", - "format": "float", - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search." - } - } - }, - "ListGeneratedFilesResponse": { - "type": "object", - "description": "Response for `ListGeneratedFiles`.", - "properties": { - "generatedFiles": { + "responseModalities": { + "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", "type": "array", - "description": "The list of `GeneratedFile`s.", "items": { - "$ref": "#/components/schemas/GeneratedFile" + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ], + "type": "string", + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "VIDEO" + ] } - }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", - "type": "string" } - } + }, + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model." }, - "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.", + "ImageResponseFormat": { + "type": "object", "properties": { - "expireTime": { + "mimeType": { "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." - }, - "createTime": { - "type": "string", - "readOnly": true, - "format": "google-datetime", - "description": "Output only. Creation time of the cache entry." - }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" - }, - "tools": { - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", - "items": { - "$ref": "#/components/schemas/Tool" - }, - "type": "array" - }, - "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" - }, - "name": { - "readOnly": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "type": "string" - }, - "ttl": { - "type": "string", - "description": "Input only. New TTL for this resource, input only.", - "format": "google-duration" - }, - "contents": { - "type": "array", - "description": "Optional. Input only. Immutable. The content to cache.", - "items": { - "$ref": "#/components/schemas/Content" - } - }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. When the cache entry was last updated in UTC time.", - "type": "string" - }, - "model": { - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", - "type": "string" + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "IMAGE_JPEG" + ], + "description": "Optional. The MIME type of the image output.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "JPEG image format." + ] }, - "displayName": { - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "aspectRatio": { + "description": "Optional. The aspect ratio for the image output.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "1:1 aspect ratio.", + "2:3 aspect ratio.", + "3:2 aspect ratio.", + "3:4 aspect ratio.", + "4:3 aspect ratio.", + "4:5 aspect ratio.", + "5:4 aspect ratio.", + "9:16 aspect ratio.", + "16:9 aspect ratio.", + "21:9 aspect ratio.", + "1:8 aspect ratio.", + "8:1 aspect ratio.", + "1:4 aspect ratio.", + "4:1 aspect ratio." + ], + "enum": [ + "ASPECT_RATIO_UNSPECIFIED", + "ASPECT_RATIO_ONE_BY_ONE", + "ASPECT_RATIO_TWO_BY_THREE", + "ASPECT_RATIO_THREE_BY_TWO", + "ASPECT_RATIO_THREE_BY_FOUR", + "ASPECT_RATIO_FOUR_BY_THREE", + "ASPECT_RATIO_FOUR_BY_FIVE", + "ASPECT_RATIO_FIVE_BY_FOUR", + "ASPECT_RATIO_NINE_BY_SIXTEEN", + "ASPECT_RATIO_SIXTEEN_BY_NINE", + "ASPECT_RATIO_TWENTY_ONE_BY_NINE", + "ASPECT_RATIO_ONE_BY_EIGHT", + "ASPECT_RATIO_EIGHT_BY_ONE", + "ASPECT_RATIO_ONE_BY_FOUR", + "ASPECT_RATIO_FOUR_BY_ONE" + ], "type": "string" }, - "usageMetadata": { - "readOnly": true, - "description": "Output only. Metadata on the usage of the cached content.", - "$ref": "#/components/schemas/CachedContentUsageMetadata" - } - }, - "type": "object" - }, - "ImageConfig": { - "description": "Config for image generation features.", - "properties": { "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": "string", + "enum": [ + "IMAGE_SIZE_UNSPECIFIED", + "IMAGE_SIZE_FIVE_TWELVE", + "IMAGE_SIZE_ONE_K", + "IMAGE_SIZE_TWO_K", + "IMAGE_SIZE_FOUR_K" + ], + "description": "Optional. The size of the image output.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "512px image size.", + "1K image size.", + "2K image size.", + "4K image size." + ] }, - "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.", + "delivery": { + "description": "Optional. The delivery mode for the image output.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Image data is returned inline in the response.", + "Image data is returned as a URI." + ], + "enum": [ + "DELIVERY_UNSPECIFIED", + "INLINE", + "URI" + ], "type": "string" } }, - "type": "object" + "description": "Configuration for image output format." }, - "Blob": { + "FunctionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", "type": "object", - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", "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). //", + "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" }, - "data": { - "description": "Raw bytes for media formats.", - "format": "byte", + "args": { + "description": "Optional. The function parameters and values in JSON object format.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + }, + "id": { + "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", "type": "string" } } }, - "InlinedResponses": { - "description": "The responses to the requests in the batch.", + "TuningExamples": { + "description": "A set of tuning examples. Can be training or validation data.", + "type": "object", "properties": { - "inlinedResponses": { + "examples": { "type": "array", - "readOnly": true, - "description": "Output only. The responses to the requests in the batch.", "items": { - "$ref": "#/components/schemas/InlinedResponse" - } + "$ref": "#/components/schemas/TuningExample" + }, + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type." } - }, - "type": "object" + } }, - "Permission": { + "StreamableHttpTransport": { "type": "object", - "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", "properties": { - "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." - }, - "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.", + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", "type": "string" }, - "role": { + "timeout": { "type": "string", - "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" - ], - "description": "Required. The role granted by this permission.", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Owner can use, update, share and delete the resource.", - "Writer can use, update and share the resource.", - "Reader can use the resource." - ] + "format": "google-duration", + "description": "HTTP timeout for regular operations." }, - "granteeType": { + "sseReadTimeout": { + "description": "Timeout for SSE read operations.", "type": "string", - "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" - ], - "description": "Optional. Immutable. The type of the grantee.", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Represents a user. When set, you must provide email_address for the user.", - "Represents a group. When set, you must provide email_address for the group.", - "Represents access to everyone. No extra information is required." - ] + "format": "google-duration" + }, + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" + }, + "headers": { + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "type": "object", + "additionalProperties": { + "type": "string" + } } - } + }, + "description": "A transport that can stream HTTP requests and responses. Next ID: 6" }, - "FileSearch": { + "ComputerUse": { "type": "object", - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", "properties": { - "metadataFilter": { - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", - "type": "string" + "enablePromptInjectionDetection": { + "description": "Optional. Whether enable the prompt injection detection check on computer-use request.", + "type": "boolean" }, - "fileSearchStoreNames": { - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", + "environment": { + "description": "Required. The environment being operated.", + "x-enum-descriptions": [ + "Defaults to browser.", + "Operates in a web browser.", + "Operates in a mobile environment.", + "Operates in a desktop environment." + ], + "type": "string", + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER", + "ENVIRONMENT_MOBILE", + "ENVIRONMENT_DESKTOP" + ] + }, + "excludedPredefinedFunctions": { + "type": "array", "items": { "type": "string" }, - "type": "array" + "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." }, - "topK": { - "format": "int32", - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "type": "integer" - } - } - }, - "EmbedContentBatch": { - "type": "object", - "description": "A resource representing a batch of `EmbedContent` requests.", + "disabledSafetyPolicies": { + "description": "Optional. Disabled safety policies for computer use.", + "type": "array", + "items": { + "x-enum-descriptions": [ + "Unspecified safety policy.", + "Safety policy for financial transactions.", + "Safety policy for sensitive data modification.", + "Safety policy for communication tools (e.g. Gmail, Chat, Meet).", + "Safety policy for account creation.", + "Safety policy for data modification.", + "Safety policy for user consent management.", + "Safety policy for legal terms and agreements." + ], + "enum": [ + "SAFETY_POLICY_UNSPECIFIED", + "FINANCIAL_TRANSACTIONS", + "SENSITIVE_DATA_MODIFICATION", + "COMMUNICATION_TOOL", + "ACCOUNT_CREATION", + "DATA_MODIFICATION", + "USER_CONSENT_MANAGEMENT", + "LEGAL_TERMS_AND_AGREEMENTS" + ], + "type": "string" + } + } + }, + "description": "Computer Use tool type." + }, + "ListFileSearchStoresResponse": { + "type": "object", "properties": { - "state": { - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ], - "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ], - "type": "string", - "description": "Output only. The state of the batch.", - "readOnly": true - }, - "createTime": { - "type": "string", - "description": "Output only. The time at which the batch was created.", - "readOnly": true, - "format": "google-datetime" - }, - "endTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The time at which the batch processing completed.", - "type": "string" - }, - "output": { - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/EmbedContentBatchOutput", - "readOnly": true - }, - "batchStats": { - "readOnly": true, - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/EmbedContentBatchStats" + "fileSearchStores": { + "description": "The returned rag_stores.", + "type": "array", + "items": { + "$ref": "#/components/schemas/FileSearchStore" + } }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{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" - }, - "name": { + } + }, + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`." + }, + "VideoFileMetadata": { + "description": "Metadata for a video `File`.", + "type": "object", + "properties": { + "videoDuration": { "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "readOnly": true - }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" - }, - "priority": { - "format": "int64", - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "format": "google-duration", + "description": "Duration of the video." + } + } + }, + "SearchEntryPoint": { + "description": "Google search entry point.", + "type": "object", + "properties": { + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", "type": "string" }, - "updateTime": { - "description": "Output only. The time at which the batch was last updated.", - "readOnly": true, - "format": "google-datetime", - "type": "string" + "sdkBlob": { + "description": "Optional. Base64 encoded JSON representing array of tuple.", + "type": "string", + "format": "byte" + } + } + }, + "ListDocumentsResponse": { + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "type": "object", + "properties": { + "documents": { + "description": "The returned `Document`s.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Document" + } }, - "displayName": { - "description": "Required. The user-defined name of this batch.", + "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" } } }, - "SemanticRetrieverChunk": { - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", + "CodeExecution": { + "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", + "type": "object", + "properties": {} + }, + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", + "type": "object", "properties": { - "source": { - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", - "readOnly": true, + "urlMetadata": { + "description": "List of url context.", + "type": "array", + "items": { + "$ref": "#/components/schemas/UrlMetadata" + } + } + } + }, + "ImageConfig": { + "description": "Config for image generation features.", + "type": "object", + "properties": { + "aspectRatio": { + "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided.", "type": "string" }, - "chunk": { - "readOnly": true, - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "imageSize": { + "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", "type": "string" } - }, - "type": "object" + } }, - "ModalityTokenCount": { + "InlinedRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "type": "object", - "description": "Represents token counting info for a single modality.", "properties": { - "modality": { - "description": "The modality associated with this token count.", - "x-enum-descriptions": [ - "Unspecified modality.", - "Plain text.", - "Image.", - "Video.", - "Audio.", - "Document, e.g. PDF." - ], - "type": "string", - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ] - }, - "tokenCount": { - "type": "integer", - "description": "Number of tokens.", - "format": "int32" + "requests": { + "description": "Required. The requests to be processed in the batch.", + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedRequest" + } } } }, - "Document": { - "description": "A `Document` is a collection of `Chunk`s.", + "LogprobsResult": { + "type": "object", "properties": { - "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": { + "topCandidates": { + "description": "Length = total number of decoding steps.", "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": { - "$ref": "#/components/schemas/CustomMetadata" + "$ref": "#/components/schemas/TopCandidates" } }, - "sizeBytes": { - "readOnly": true, - "format": "int64", - "description": "Output only. The size of raw bytes ingested into the Document.", - "type": "string" + "logProbabilitySum": { + "type": "number", + "format": "float", + "description": "Sum of log probabilities for all tokens." }, - "mimeType": { + "chosenCandidates": { + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + }, + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates." + } + }, + "description": "Logprobs Result" + }, + "EmbedContentBatchStats": { + "type": "object", + "properties": { + "requestCount": { "type": "string", - "readOnly": true, - "description": "Output only. The mime type of the Document." - }, - "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" + "format": "int64", + "description": "Output only. The number of requests in the batch.", + "readOnly": true }, - "updateTime": { + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Document` was last updated.", - "type": "string" - }, - "state": { "type": "string", - "description": "Output only. Current state of the `Document`.", - "readOnly": true, - "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." - ] - }, - "createTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Document` was created.", - "type": "string" - } - }, - "type": "object" - }, - "SafetyRating": { - "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", - "properties": { - "blocked": { - "description": "Was this content blocked because of this rating?", - "type": "boolean" + "format": "int64" }, - "probability": { - "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", - "LOW", - "MEDIUM", - "HIGH" - ], + "pendingRequestCount": { "type": "string", - "x-enum-descriptions": [ - "Probability is unspecified.", - "Content has a negligible chance of being unsafe.", - "Content has a low chance of being unsafe.", - "Content has a medium chance of being unsafe.", - "Content has a high chance of being unsafe." - ], - "description": "Required. The probability of harm for this content." + "format": "int64", + "description": "Output only. The number of requests that are still pending processing.", + "readOnly": true }, - "category": { - "description": "Required. The category for this rating.", - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", + "readOnly": true, "type": "string", - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ], - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ] + "format": "int64" } }, - "type": "object" + "description": "Stats about the batch." }, - "AttributionSourceId": { - "description": "Identifier for the source contributing to this attribution.", + "CreateFileRequest": { + "description": "Request for `CreateFile`.", + "type": "object", "properties": { - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" - }, - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" } - }, - "type": "object" + } }, - "EmbedContentRequest": { - "description": "Request containing the `Content` for the model to embed.", + "ToolConfig": { + "type": "object", "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" - }, - "title": { - "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.", - "type": "string" - }, - "outputDimensionality": { - "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", - "deprecated": true, - "format": "int32", - "type": "integer" - }, - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" + "retrievalConfig": { + "description": "Optional. Retrieval config.", + "$ref": "#/components/schemas/RetrievalConfig" }, - "taskType": { - "type": "string", - "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ], - "deprecated": true, - "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." - ] + "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" }, - "embedContentConfig": { - "description": "Optional. Configuration for the EmbedContent request.", - "$ref": "#/components/schemas/EmbedContentConfig" + "functionCallingConfig": { + "description": "Optional. Function calling config.", + "$ref": "#/components/schemas/FunctionCallingConfig" } }, - "type": "object" + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request." }, - "ListOperationsResponse": { - "description": "The response message for Operations.ListOperations.", + "TuningTask": { + "type": "object", "properties": { - "nextPageToken": { - "description": "The standard List next-page token.", - "type": "string" + "hyperparameters": { + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", + "$ref": "#/components/schemas/Hyperparameters" }, - "operations": { + "trainingData": { + "description": "Required. Input only. Immutable. The model training data.", + "$ref": "#/components/schemas/Dataset" + }, + "completeTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when tuning this model completed.", + "readOnly": true + }, + "snapshots": { + "description": "Output only. Metrics collected during tuning.", + "readOnly": true, "type": "array", - "description": "A list of operations that matches the specified filter in the request.", "items": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/TuningSnapshot" } }, - "unreachable": { - "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", - "items": { - "type": "string" - }, - "type": "array" + "startTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when tuning this model started.", + "readOnly": true } }, - "type": "object" + "description": "Tuning tasks that create tuned models." }, - "GoogleMaps": { + "Part": { + "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "type": "object", - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", - "properties": { - "enableWidget": { - "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", - "type": "boolean" - } - } - }, - "ListFilesResponse": { - "description": "Response for `ListFiles`.", "properties": { - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "executableCode": { + "description": "Code generated by the model that is meant to be executed.", + "$ref": "#/components/schemas/ExecutableCode" + }, + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" + }, + "text": { + "description": "Inline text.", "type": "string" }, - "files": { - "type": "array", - "description": "The list of `File`s.", - "items": { - "$ref": "#/components/schemas/File" - } - } - }, - "type": "object" - }, - "BatchEmbedContentsResponse": { - "type": "object", - "description": "The response to a `BatchEmbedContentsRequest`.", - "properties": { - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata", - "readOnly": true + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" }, - "embeddings": { - "type": "array", - "readOnly": true, - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", - "items": { - "$ref": "#/components/schemas/ContentEmbedding" - } - } - } - }, - "InlinedResponse": { - "type": "object", - "description": "The response to a single request in the batch.", - "properties": { - "metadata": { - "readOnly": true, - "description": "Output only. The metadata associated with the request.", + "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.", + "$ref": "#/components/schemas/FunctionResponse" + }, + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" + }, + "partMetadata": { + "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", "type": "object", "additionalProperties": { "description": "Properties of the object." } }, - "error": { - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status", - "readOnly": true + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" }, - "response": { - "readOnly": true, - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/GenerateContentResponse" + "thoughtSignature": { + "type": "string", + "format": "byte", + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests." + }, + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" + }, + "toolCall": { + "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", + "$ref": "#/components/schemas/ToolCall" + }, + "toolResponse": { + "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", + "$ref": "#/components/schemas/ToolResponse" + }, + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" + }, + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" } } }, - "AsyncBatchEmbedContentRequest": { - "description": "Request for an `AsyncBatchEmbedContent` operation.", - "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" - } - }, - "type": "object" + "ImageSearch": { + "type": "object", + "properties": {}, + "description": "Image search for grounding and related configurations." }, - "FunctionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "FunctionDeclaration": { + "type": "object", "properties": { + "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." + ], + "enum": [ + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" + ], + "type": "string" + }, "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", + "description": "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" }, - "args": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The function parameters and values in JSON object format." + "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.", + "$ref": "#/components/schemas/Schema" }, - "id": { - "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", + "parametersJsonSchema": { + "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." + }, + "parameters": { + "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", + "$ref": "#/components/schemas/Schema" + }, + "description": { + "description": "Required. A brief description of the function.", "type": "string" } }, - "type": "object" + "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client." }, - "ImageResponseFormat": { - "description": "Configuration for image output format.", + "FunctionCallingConfig": { + "type": "object", "properties": { - "imageSize": { - "description": "Optional. The size of the image output.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "512px image size.", - "1K image size.", - "2K image size.", - "4K image size." - ], - "type": "string", - "enum": [ - "IMAGE_SIZE_UNSPECIFIED", - "IMAGE_SIZE_FIVE_TWELVE", - "IMAGE_SIZE_ONE_K", - "IMAGE_SIZE_TWO_K", - "IMAGE_SIZE_FOUR_K" - ] - }, - "aspectRatio": { - "x-enum-descriptions": [ - "Default value. This value is unused.", - "1:1 aspect ratio.", - "2:3 aspect ratio.", - "3:2 aspect ratio.", - "3:4 aspect ratio.", - "4:3 aspect ratio.", - "4:5 aspect ratio.", - "5:4 aspect ratio.", - "9:16 aspect ratio.", - "16:9 aspect ratio.", - "21:9 aspect ratio.", - "1:8 aspect ratio.", - "8:1 aspect ratio.", - "1:4 aspect ratio.", - "4:1 aspect ratio." - ], - "description": "Optional. The aspect ratio for the image output.", + "mode": { "enum": [ - "ASPECT_RATIO_UNSPECIFIED", - "ASPECT_RATIO_ONE_BY_ONE", - "ASPECT_RATIO_TWO_BY_THREE", - "ASPECT_RATIO_THREE_BY_TWO", - "ASPECT_RATIO_THREE_BY_FOUR", - "ASPECT_RATIO_FOUR_BY_THREE", - "ASPECT_RATIO_FOUR_BY_FIVE", - "ASPECT_RATIO_FIVE_BY_FOUR", - "ASPECT_RATIO_NINE_BY_SIXTEEN", - "ASPECT_RATIO_SIXTEEN_BY_NINE", - "ASPECT_RATIO_TWENTY_ONE_BY_NINE", - "ASPECT_RATIO_ONE_BY_EIGHT", - "ASPECT_RATIO_EIGHT_BY_ONE", - "ASPECT_RATIO_ONE_BY_FOUR", - "ASPECT_RATIO_FOUR_BY_ONE" + "MODE_UNSPECIFIED", + "AUTO", + "ANY", + "NONE", + "VALIDATED" ], - "type": "string" - }, - "mimeType": { "type": "string", - "enum": [ - "MIME_TYPE_UNSPECIFIED", - "IMAGE_JPEG" - ], - "description": "Optional. The MIME type of the image output.", + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", "x-enum-descriptions": [ - "Default value. This value is unused.", - "JPEG image format." + "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\"." ] }, - "delivery": { - "enum": [ - "DELIVERY_UNSPECIFIED", - "INLINE", - "URI" - ], - "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Image data is returned inline in the response.", - "Image data is returned as a URI." - ], - "description": "Optional. The delivery mode for the image output." + "allowedFunctionNames": { + "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", + "type": "array", + "items": { + "type": "string" + } } }, - "type": "object" + "description": "Configuration for specifying function calling behavior." }, - "RetrievedContext": { - "description": "Chunk from context retrieved by the file search tool.", + "ListFilesResponse": { + "description": "Response for `ListFiles`.", + "type": "object", "properties": { - "mediaId": { - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", - "type": "string" - }, - "text": { - "description": "Optional. Text of the chunk.", - "type": "string" - }, - "fileSearchStore": { - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", - "type": "string" - }, - "title": { - "description": "Optional. Title of the document.", - "type": "string" + "files": { + "description": "The list of `File`s.", + "type": "array", + "items": { + "$ref": "#/components/schemas/File" + } }, - "uri": { - "description": "Optional. URI reference of the semantic retrieval document.", + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", "type": "string" - }, - "pageNumber": { - "format": "int32", - "description": "Optional. Page number of the retrieved context, if applicable.", - "type": "integer" - }, - "customMetadata": { - "description": "Optional. User-provided metadata about the retrieved context.", - "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" - }, - "type": "array" } - }, - "type": "object" + } }, "ThinkingConfig": { - "type": "object", "description": "Config for thinking features.", + "type": "object", "properties": { - "includeThoughts": { - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", - "type": "boolean" - }, - "thinkingBudget": { - "format": "int32", - "description": "The number of thoughts tokens that the model should generate.", - "type": "integer" - }, "thinkingLevel": { + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", "x-enum-descriptions": [ "Default value.", "Little to no thinking.", @@ -3902,7 +3567,6 @@ "Medium thinking level.", "High thinking level." ], - "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", "enum": [ "THINKING_LEVEL_UNSPECIFIED", "MINIMAL", @@ -3911,1224 +3575,1867 @@ "HIGH" ], "type": "string" - } - } - }, - "PromptFeedback": { - "type": "object", - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", - "properties": { - "blockReason": { - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", - "Prompt was blocked due to unknown reasons.", - "Prompt was blocked due to the terms which are included from the terminology blocklist.", - "Prompt was blocked due to prohibited content.", - "Candidates blocked due to unsafe image generation content." - ], - "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" - ], - "type": "string" }, - "safetyRatings": { - "type": "array", - "description": "Ratings for safety of the prompt. There is at most one rating per category.", - "items": { - "$ref": "#/components/schemas/SafetyRating" - } + "includeThoughts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", + "type": "boolean" + }, + "thinkingBudget": { + "type": "integer", + "format": "int32", + "description": "The number of thoughts tokens that the model should generate." } } }, - "GeneratedFile": { + "ResponseFormatConfig": { "type": "object", - "description": "A file generated on behalf of a user.", "properties": { - "mimeType": { - "description": "MIME type of the generatedFile.", - "type": "string" + "text": { + "description": "Optional. Text output format configuration.", + "$ref": "#/components/schemas/TextResponseFormat" }, - "state": { - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Being generated.", - "Generated and is ready for download.", - "Failed to generate the GeneratedFile." - ], - "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" - ], - "description": "Output only. The state of the GeneratedFile.", - "readOnly": true, - "type": "string" + "audio": { + "description": "Optional. Audio output format configuration.", + "$ref": "#/components/schemas/AudioResponseFormat" }, - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" + "image": { + "description": "Optional. Image output format configuration.", + "$ref": "#/components/schemas/ImageResponseFormat" + } + }, + "description": "Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality." + }, + "ListCorporaResponse": { + "type": "object", + "properties": { + "corpora": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Corpus" + }, + "description": "The returned corpora." }, - "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" } - } + }, + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`." }, - "FileSearchStore": { - "description": "A `FileSearchStore` is a collection of `Document`s.", + "CachedContent": { + "type": "object", "properties": { - "displayName": { - "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", - "type": "string" - }, - "updateTime": { + "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", - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated." + "format": "google-datetime" }, - "name": { - "type": "string", - "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", - "readOnly": true + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", + "$ref": "#/components/schemas/Content" }, - "activeDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", - "readOnly": true, - "format": "int64", + "model": { + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", "type": "string" }, - "failedDocumentsCount": { - "type": "string", - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "toolConfig": { + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", + "$ref": "#/components/schemas/ToolConfig" + }, + "usageMetadata": { + "description": "Output only. Metadata on the usage of the cached content.", "readOnly": true, - "format": "int64" + "$ref": "#/components/schemas/CachedContentUsageMetadata" }, - "embeddingModel": { - "description": "Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used.", + "displayName": { + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", "type": "string" }, - "sizeBytes": { + "name": { "type": "string", - "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", - "readOnly": true, - "format": "int64" + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "readOnly": true }, - "createTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", - "readOnly": true, - "format": "google-datetime", - "type": "string" + "contents": { + "description": "Optional. Input only. Immutable. The content to cache.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + } }, - "pendingDocumentsCount": { - "readOnly": true, - "format": "int64", - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", - "type": "string" - } - }, - "type": "object" - }, - "GenerateContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", - "properties": { - "responsesFile": { + "createTime": { "type": "string", - "readOnly": true, - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." + "format": "google-datetime", + "description": "Output only. Creation time of the cache entry.", + "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.", - "$ref": "#/components/schemas/InlinedResponses" - } - }, - "type": "object" - }, - "Web": { - "description": "Chunk from the web.", - "properties": { - "uri": { + "ttl": { "type": "string", - "readOnly": true, - "description": "Output only. URI reference of the chunk." + "format": "google-duration", + "description": "Input only. New TTL for this resource, input only." }, - "title": { - "type": "string", - "readOnly": true, - "description": "Output only. Title of the chunk." - } - }, - "type": "object" - }, - "ContentEmbedding": { - "description": "A list of floats representing an embedding.", - "properties": { - "values": { + "tools": { "type": "array", - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", "items": { - "format": "float", - "type": "number" - } + "$ref": "#/components/schemas/Tool" + }, + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response" }, - "shape": { - "type": "array", - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", - "items": { - "type": "integer", - "format": "int32" - } + "updateTime": { + "description": "Output only. When the cache entry was last updated in UTC time.", + "readOnly": true, + "type": "string", + "format": "google-datetime" } }, - "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." }, - "ListCorporaResponse": { - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", + "BatchGenerateContentRequest": { + "type": "object", "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" - }, - "corpora": { - "type": "array", - "description": "The returned corpora.", - "items": { - "$ref": "#/components/schemas/Corpus" - } + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/GenerateContentBatch" } }, - "type": "object" + "description": "Request for a `BatchGenerateContent` operation." }, - "CreateFileResponse": { - "description": "Response for `CreateFile`.", + "AsyncBatchEmbedContentRequest": { + "type": "object", "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/EmbedContentBatch" } }, - "type": "object" + "description": "Request for an `AsyncBatchEmbedContent` operation." }, - "GenerationConfig": { + "EmbedContentRequest": { "type": "object", - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "properties": { - "responseFormat": { - "description": "Optional. Configuration for the response output format. Allows specifying output configuration per modality (text, audio, image) in a flat structure.", - "$ref": "#/components/schemas/ResponseFormatConfig" - }, - "stopSequences": { - "type": "array", - "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", - "items": { - "type": "string" - } - }, - "topK": { - "type": "integer", - "format": "int32", - "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests." - }, - "responseMimeType": { - "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types.", - "type": "string" - }, - "imageConfig": { - "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", - "$ref": "#/components/schemas/ImageConfig" + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" }, - "seed": { - "type": "integer", - "format": "int32", - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed." + "taskType": { + "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ], + "deprecated": true, + "type": "string", + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ] }, - "maxOutputTokens": { - "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", - "format": "int32", - "type": "integer" + "title": { + "deprecated": true, + "type": "string", + "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval." }, - "translationConfig": { - "description": "Optional. Config for translation.", - "$ref": "#/components/schemas/TranslationConfig" + "embedContentConfig": { + "description": "Optional. Configuration for the EmbedContent request.", + "$ref": "#/components/schemas/EmbedContentConfig" }, - "responseSchema": { - "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", - "$ref": "#/components/schemas/Schema" + "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" }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + "outputDimensionality": { + "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", + "deprecated": true, + "type": "integer", + "format": "int32" + } + }, + "description": "Request containing the `Content` for the model to embed." + }, + "FunctionResponseBlob": { + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "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" }, - "mediaResolution": { - "description": "Optional. If specified, the media resolution specified will be used.", - "x-enum-descriptions": [ - "Media resolution has not been set.", - "Media resolution set to low (64 tokens).", - "Media resolution set to medium (256 tokens).", - "Media resolution set to high (zoomed reframing with 256 tokens)." - ], + "data": { + "description": "Raw bytes for media formats.", "type": "string", - "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ] + "format": "byte" + } + } + }, + "CitationSource": { + "type": "object", + "properties": { + "license": { + "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", + "type": "string" }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" + "endIndex": { + "description": "Optional. End of the attributed segment, exclusive.", + "type": "integer", + "format": "int32" }, - "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." + "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" }, - "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.", + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", + "type": "string" + } + }, + "description": "A citation to a source for a portion of a specific response." + }, + "Interval": { + "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", + "type": "object", + "properties": { + "startTime": { + "type": "string", + "format": "google-datetime", + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start." + }, + "endTime": { + "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" + } + } + }, + "BatchEmbedContentsResponse": { + "description": "The response to a `BatchEmbedContentsRequest`.", + "type": "object", + "properties": { + "embeddings": { + "type": "array", "items": { - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "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." - ] + "$ref": "#/components/schemas/ContentEmbedding" }, - "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].", - "format": "float", - "type": "number" - }, - "presencePenalty": { - "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.", - "type": "number" - }, - "frequencyPenalty": { - "type": "number", - "format": "float", - "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit." - }, - "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" + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", + "readOnly": true }, - "candidateCount": { + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbeddingUsageMetadata" + } + } + }, + "GoogleAiGenerativelanguageV1betaSegment": { + "description": "Segment of the content.", + "type": "object", + "properties": { + "startIndex": { "type": "integer", "format": "int32", - "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)" + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero." }, - "logprobs": { - "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", - "format": "int32", - "type": "integer" + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "type": "integer", + "format": "int32" }, - "responseLogprobs": { - "description": "Optional. If true, export the logprobs results in response.", - "type": "boolean" + "endIndex": { + "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", + "type": "integer", + "format": "int32" }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" + "text": { + "description": "The text corresponding to the segment from the response.", + "type": "string" } } }, - "ListDocumentsResponse": { + "FileData": { + "description": "URI based data.", "type": "object", - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", "properties": { - "documents": { - "description": "The returned `Document`s.", - "items": { - "$ref": "#/components/schemas/Document" - }, - "type": "array" + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", + "type": "string" }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "fileUri": { + "description": "Required. URI.", "type": "string" } } }, - "FunctionResponseBlob": { + "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", - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", + "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" + }, + "willContinue": { + "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", + "type": "boolean" + }, + "parts": { + "type": "array", + "items": { + "$ref": "#/components/schemas/FunctionResponsePart" + }, + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types." + }, + "scheduling": { + "type": "string", + "enum": [ + "SCHEDULING_UNSPECIFIED", + "SILENT", + "WHEN_IDLE", + "INTERRUPT" + ], + "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." + ] + }, + "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" + }, + "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. Multimedia can be included by using a subobject containing a single \"$ref\" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + } + } + }, + "EmbedContentBatch": { + "description": "A resource representing a batch of `EmbedContent` requests.", + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "readOnly": true + }, + "createTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch was created.", + "readOnly": true + }, + "output": { + "$ref": "#/components/schemas/EmbedContentBatchOutput", + "description": "Output only. The output of the batch request.", + "readOnly": true + }, + "updateTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated.", + "readOnly": true + }, + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" + }, + "state": { + "readOnly": true, + "x-enum-descriptions": [ + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." + ], + "type": "string", + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ], + "description": "Output only. The state of the batch." + }, + "endTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch processing completed.", + "readOnly": true + }, + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" + }, + "batchStats": { + "$ref": "#/components/schemas/EmbedContentBatchStats", + "description": "Output only. Stats about the batch.", + "readOnly": true + }, + "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" + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + } + } + }, + "TextResponseFormat": { + "description": "Configuration for text output format.", + "type": "object", + "properties": { + "mimeType": { + "description": "Optional. The MIME type of the text output.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "JSON output format.", + "Plain text output format." + ], + "type": "string", + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "APPLICATION_JSON", + "TEXT_PLAIN" + ] + }, + "schema": { + "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." + } + } + }, + "EmbedContentResponse": { + "type": "object", + "properties": { + "usageMetadata": { + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "description": "Output only. The usage metadata for the request.", + "readOnly": true + }, + "embedding": { + "$ref": "#/components/schemas/ContentEmbedding", + "description": "Output only. The embedding generated from the input content.", + "readOnly": true + } + }, + "description": "The response to an `EmbedContentRequest`." + }, + "PromptFeedback": { + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", + "type": "object", + "properties": { + "blockReason": { + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", + "Prompt was blocked due to unknown reasons.", + "Prompt was blocked due to the terms which are included from the terminology blocklist.", + "Prompt was blocked due to prohibited content.", + "Candidates blocked due to unsafe image generation content." + ], + "enum": [ + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ], + "type": "string" + }, + "safetyRatings": { + "description": "Ratings for safety of the prompt. There is at most one rating per category.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetyRating" + } + } + } + }, + "InlinedRequest": { + "description": "The request to be processed in the batch.", + "type": "object", + "properties": { + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" + }, + "metadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The metadata to be associated with the request." + } + } + }, + "InlinedResponses": { + "type": "object", + "properties": { + "inlinedResponses": { + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedResponse" + }, + "description": "Output only. The responses to the requests in the batch.", + "readOnly": true + } + }, + "description": "The responses to the requests in the batch." + }, + "RegisterFilesResponse": { + "description": "Response for `RegisterFiles`.", + "type": "object", + "properties": { + "files": { + "description": "The registered files to be used when calling GenerateContent.", + "type": "array", + "items": { + "$ref": "#/components/schemas/File" + } + } + } + }, + "FileSearchStore": { + "type": "object", + "properties": { + "pendingDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "name": { + "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", + "readOnly": true, + "type": "string" + }, + "createTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "readOnly": true + }, + "updateTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "embeddingModel": { + "description": "Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used.", + "type": "string" + }, + "failedDocumentsCount": { + "type": "string", + "format": "int64", + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "readOnly": true + }, + "activeDocumentsCount": { + "type": "string", + "format": "int64", + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", + "readOnly": true + }, + "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" + }, + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", + "readOnly": true, + "type": "string", + "format": "int64" + } + }, + "description": "A `FileSearchStore` is a collection of `Document`s." + }, + "Candidate": { + "description": "A response candidate generated from the model.", + "type": "object", + "properties": { + "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" + }, + "logprobsResult": { + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "readOnly": true, + "$ref": "#/components/schemas/LogprobsResult" + }, + "citationMetadata": { + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", + "readOnly": true, + "$ref": "#/components/schemas/CitationMetadata" + }, + "safetyRatings": { + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetyRating" + }, + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category." + }, + "index": { + "description": "Output only. Index of the candidate in the list of response candidates.", + "readOnly": true, + "type": "integer", + "format": "int32" + }, + "content": { + "description": "Output only. Generated content returned from the model.", + "readOnly": true, + "$ref": "#/components/schemas/Content" + }, + "groundingMetadata": { + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "readOnly": true, + "$ref": "#/components/schemas/GroundingMetadata" + }, + "avgLogprobs": { + "type": "number", + "format": "double", + "description": "Output only. Average log probability score of the candidate.", + "readOnly": true + }, + "urlContextMetadata": { + "description": "Output only. Metadata related to url context retrieval tool.", + "readOnly": true, + "$ref": "#/components/schemas/UrlContextMetadata" + }, + "tokenCount": { + "description": "Output only. Token count for this candidate.", + "readOnly": true, + "type": "integer", + "format": "int32" + }, + "groundingAttributions": { + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingAttribution" + } + }, + "finishReason": { + "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", + "ESCALATION" + ], + "type": "string", + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", + "readOnly": true, + "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.", + "Request was filtered by an escalation rule." + ] + } + } + }, + "RetrievedContext": { + "description": "Chunk from context retrieved by the file search tool.", + "type": "object", + "properties": { + "customMetadata": { + "description": "Optional. User-provided metadata about the retrieved context.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + } + }, + "fileSearchStore": { + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", + "type": "string" + }, + "pageNumber": { + "description": "Optional. Page number of the retrieved context, if applicable.", + "type": "integer", + "format": "int32" + }, + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", + "type": "string" + }, + "title": { + "description": "Optional. Title of the document.", + "type": "string" + }, + "text": { + "description": "Optional. Text of the chunk.", + "type": "string" + }, + "mediaId": { + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", + "type": "string" + } + } + }, + "GenerateContentBatchOutput": { + "type": "object", + "properties": { + "responsesFile": { + "type": "string", + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "readOnly": true + }, + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "readOnly": true, + "$ref": "#/components/schemas/InlinedResponses" + } + }, + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field." + }, + "ListGeneratedFilesResponse": { + "description": "Response for `ListGeneratedFiles`.", + "type": "object", + "properties": { + "generatedFiles": { + "description": "The list of `GeneratedFile`s.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GeneratedFile" + } + }, + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "type": "string" + } + } + }, + "ReviewSnippet": { + "type": "object", + "properties": { + "title": { + "description": "Title of the review.", + "type": "string" + }, + "reviewId": { + "description": "The ID of the review snippet.", + "type": "string" + }, + "googleMapsUri": { + "description": "A link that corresponds to the user review on Google Maps.", + "type": "string" + } + }, + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps." + }, + "Status": { + "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", + "type": "object", + "properties": { + "message": { + "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", + "type": "string" + }, + "details": { + "type": "array", + "items": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use." + }, + "code": { + "type": "integer", + "format": "int32", + "description": "The status code, which should be an enum value of google.rpc.Code." + } + } + }, + "TuningSnapshot": { + "type": "object", + "properties": { + "computeTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when this metric was computed.", + "readOnly": true + }, + "step": { + "type": "integer", + "format": "int32", + "description": "Output only. The tuning step.", + "readOnly": true + }, + "epoch": { + "description": "Output only. The epoch this step was part of.", + "readOnly": true, + "type": "integer", + "format": "int32" + }, + "meanLoss": { + "description": "Output only. The mean loss of the training examples for this step.", + "readOnly": true, + "type": "number", + "format": "float" + } + }, + "description": "Record for a single tuning step." + }, + "GeneratedFile": { + "description": "A file generated on behalf of a user.", + "type": "object", + "properties": { + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "type": "string" + }, + "error": { + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "$ref": "#/components/schemas/Status" + }, + "state": { + "type": "string", + "enum": [ + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" + ], + "description": "Output only. The state of the GeneratedFile.", + "readOnly": true, + "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." + ] + }, + "mimeType": { + "description": "MIME type of the generatedFile.", + "type": "string" + } + } + }, + "EmbedContentConfig": { + "type": "object", + "properties": { + "title": { + "description": "Optional. The title for the text.", + "type": "string" + }, + "taskType": { + "description": "Optional. The task type of the embedding.", + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ], + "type": "string", + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ] + }, + "autoTruncate": { + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", + "type": "boolean" + }, + "audioTrackExtraction": { + "description": "Optional. Whether to extract audio from video content.", + "type": "boolean" + }, + "documentOcr": { + "description": "Optional. Whether to enable OCR for document content.", + "type": "boolean" + }, + "outputDimensionality": { + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", + "type": "integer", + "format": "int32" + } + }, + "description": "Configurations for the EmbedContent request." + }, + "RetrievalConfig": { + "description": "Retrieval config.", + "type": "object", + "properties": { + "latLng": { + "description": "Optional. The location of the user.", + "$ref": "#/components/schemas/LatLng" + }, + "languageCode": { + "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", + "type": "string" + } + } + }, + "ModelStatus": { + "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", + "type": "object", + "properties": { + "retirementTime": { + "type": "string", + "format": "google-datetime", + "description": "The time at which the model will be retired." + }, + "modelStage": { + "description": "The stage of the underlying model.", + "type": "string", + "enumDeprecated": [ + false, + true, + false, + false, + false, + false, + true, + false + ], + "enum": [ + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" + ], + "x-enum-descriptions": [ + "Unspecified model stage.", + "The underlying model is subject to lots of tunings.", + "Models in this stage are for experimental purposes only.", + "Models in this stage are more mature than experimental models.", + "Models in this stage are considered stable and ready for production use.", + "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", + "Models in this stage are deprecated. These models cannot be used.", + "Models in this stage are retired. These models cannot be used." + ] + }, + "message": { + "description": "A message explaining the model status.", + "type": "string" + } + } + }, + "TopCandidates": { + "type": "object", + "properties": { + "candidates": { + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + }, + "description": "Sorted by log probability in descending order." + } + }, + "description": "Candidates with top log probabilities at each decoding step." + }, + "File": { + "type": "object", + "properties": { + "updateTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` was last updated.", + "readOnly": true + }, + "name": { + "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", + "type": "string" + }, + "mimeType": { + "type": "string", + "description": "Output only. MIME type of the file.", + "readOnly": true + }, + "videoMetadata": { + "$ref": "#/components/schemas/VideoFileMetadata", + "description": "Output only. Metadata for a video.", + "readOnly": true + }, + "sizeBytes": { + "description": "Output only. Size of the file in bytes.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "downloadUri": { + "type": "string", + "description": "Output only. The download uri of the `File`.", + "readOnly": true + }, + "state": { + "description": "Output only. Processing state of the File.", + "type": "string", + "enum": [ + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" + ], + "readOnly": true, + "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." + ] + }, + "uri": { + "description": "Output only. The uri of the `File`.", + "readOnly": true, + "type": "string" + }, + "source": { + "enum": [ + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" + ], + "type": "string", + "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." + ] + }, + "sha256Hash": { + "type": "string", + "format": "byte", + "description": "Output only. SHA-256 hash of the uploaded bytes.", + "readOnly": true + }, + "createTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` was created.", + "readOnly": true + }, + "displayName": { + "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: \"Welcome Image\"", "type": "string" }, - "data": { + "expirationTime": { "type": "string", - "description": "Raw bytes for media formats.", - "format": "byte" + "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 + }, + "error": { + "description": "Output only. Error status if File processing failed.", + "readOnly": true, + "$ref": "#/components/schemas/Status" } - } + }, + "description": "A file uploaded to the API. Next ID: 15" }, - "Hyperparameters": { - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "TuningExample": { + "type": "object", "properties": { - "learningRate": { - "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", - "format": "float", - "type": "number" - }, - "epochCount": { - "type": "integer", - "format": "int32", - "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used." - }, - "batchSize": { - "format": "int32", - "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", - "type": "integer" + "textInput": { + "description": "Optional. Text model input.", + "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." + "output": { + "description": "Required. The expected model output.", + "type": "string" } }, - "type": "object" + "description": "A single example for tuning." }, - "FunctionResponsePart": { + "InlinedEmbedContentResponses": { "type": "object", - "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "properties": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" + "inlinedResponses": { + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentResponse" + }, + "description": "Output only. The responses to the requests in the batch.", + "readOnly": true } - } + }, + "description": "The responses to the requests in the batch." }, - "TextResponseFormat": { - "description": "Configuration for text output format.", + "TranslationConfig": { + "type": "object", "properties": { - "mimeType": { - "type": "string", - "enum": [ - "MIME_TYPE_UNSPECIFIED", - "APPLICATION_JSON", - "TEXT_PLAIN" - ], - "description": "Optional. The MIME type of the text output.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "JSON output format.", - "Plain text output format." - ] + "targetLanguageCode": { + "description": "Required. The target language for translation. Supported values are BCP-47 language codes (e.g. \"en\", \"es\", \"fr\").", + "type": "string" }, - "schema": { - "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." + "echoTargetLanguage": { + "description": "Optional. If true, the model will generate audio when the target language is spoken, essentially it will parrot the input. If false, we will not produce audio for the target language.", + "type": "boolean" } }, - "type": "object" + "description": "Config for translation features." }, - "ListFileSearchStoresResponse": { + "LatLng": { "type": "object", - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + "longitude": { + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "type": "number", + "format": "double" }, - "fileSearchStores": { - "description": "The returned rag_stores.", - "items": { - "$ref": "#/components/schemas/FileSearchStore" - }, - "type": "array" + "latitude": { + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "type": "number", + "format": "double" } - } + }, + "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." }, "BatchStats": { - "description": "Stats about the batch.", + "type": "object", "properties": { - "failedRequestCount": { - "description": "Output only. The number of requests that failed to be processed.", - "readOnly": true, - "format": "int64", - "type": "string" - }, "requestCount": { - "readOnly": true, - "format": "int64", "description": "Output only. The number of requests in the batch.", - "type": "string" + "readOnly": true, + "type": "string", + "format": "int64" }, "successfulRequestCount": { "type": "string", + "format": "int64", "description": "Output only. The number of requests that were successfully processed.", - "readOnly": true, - "format": "int64" + "readOnly": true }, "pendingRequestCount": { "type": "string", + "format": "int64", "description": "Output only. The number of requests that are still pending processing.", + "readOnly": true + }, + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", "readOnly": true, + "type": "string", "format": "int64" } }, - "type": "object" + "description": "Stats about the batch." }, - "TuningExamples": { + "CountTokensRequest": { "type": "object", - "description": "A set of tuning examples. Can be training or validation data.", "properties": { - "examples": { - "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", + "contents": { + "type": "array", "items": { - "$ref": "#/components/schemas/TuningExample" + "$ref": "#/components/schemas/Content" }, - "type": "array" + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set." + }, + "generateContentRequest": { + "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", + "$ref": "#/components/schemas/GenerateContentRequest" } - } + }, + "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`." }, - "ListTunedModelsResponse": { + "ListCachedContentsResponse": { + "description": "Response with CachedContents list.", "type": "object", - "description": "Response from `ListTunedModels` containing a paginated list of Models.", "properties": { - "tunedModels": { - "description": "The returned Models.", + "cachedContents": { + "description": "List of cached contents.", + "type": "array", "items": { - "$ref": "#/components/schemas/TunedModel" - }, - "type": "array" + "$ref": "#/components/schemas/CachedContent" + } }, "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.", + "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" } } }, - "ReviewSnippet": { + "Permission": { + "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", "type": "object", - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", "properties": { - "reviewId": { - "description": "The ID of the review snippet.", + "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" }, - "googleMapsUri": { - "description": "A link that corresponds to the user review on Google Maps.", - "type": "string" + "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." + ] }, - "title": { - "description": "Title of the review.", - "type": "string" + "role": { + "enum": [ + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" + ], + "type": "string", + "description": "Required. The role granted by this permission.", + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Owner can use, update, share and delete the resource.", + "Writer can use, update and share the resource.", + "Reader can use the resource." + ] + }, + "name": { + "type": "string", + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "readOnly": true } } }, - "CustomMetadata": { - "description": "User provided metadata stored as key-value pairs.", + "GroundingPassageId": { + "type": "object", "properties": { - "stringValue": { - "description": "The string value of the metadata to store.", - "type": "string" - }, - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" - }, - "numericValue": { - "type": "number", - "description": "The numeric value of the metadata to store.", - "format": "float" + "passageId": { + "type": "string", + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", + "readOnly": true }, - "key": { - "description": "Required. The key of the metadata to store.", - "type": "string" + "partIndex": { + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", + "readOnly": true, + "type": "integer", + "format": "int32" } }, - "type": "object" + "description": "Identifier for a part within a `GroundingPassage`." }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "FileSearch": { + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", "type": "object", - "description": "Grounding support.", "properties": { - "groundingChunkIndices": { - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", - "items": { - "type": "integer", - "format": "int32" - }, - "type": "array" - }, - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" - }, - "confidenceScores": { + "fileSearchStoreNames": { + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", "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": { - "format": "float", - "type": "number" + "type": "string" } }, - "renderedParts": { - "readOnly": true, - "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", - "items": { - "format": "int32", - "type": "integer" - }, - "type": "array" + "topK": { + "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "type": "integer", + "format": "int32" + }, + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "type": "string" } } }, - "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`.", + "DynamicRetrievalConfig": { + "description": "Describes the options to customize dynamic retrieval.", + "type": "object", "properties": { - "id": { - "description": "Optional. The identifier of the tool call this response is for.", - "type": "string" - }, - "response": { - "description": "Optional. The tool response.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "dynamicThreshold": { + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", + "type": "number", + "format": "float" }, - "toolType": { - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ], - "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "mode": { "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" ], - "type": "string" + "type": "string", + "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." + ] } - }, - "type": "object" + } }, - "InlinedEmbedContentResponse": { - "description": "The response to a single request in the batch.", + "InlinedEmbedContentRequest": { + "description": "The request to be processed in the batch.", + "type": "object", "properties": { - "error": { - "readOnly": true, - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status" - }, - "response": { - "readOnly": true, - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/EmbedContentResponse" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/EmbedContentRequest" }, "metadata": { + "description": "Optional. The metadata to be associated with the request.", "type": "object", "additionalProperties": { "description": "Properties of the object." - }, - "readOnly": true, - "description": "Output only. The metadata associated with the request." + } } - }, - "type": "object" + } }, - "Image": { - "description": "Chunk from image search.", + "GoogleMaps": { + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", + "type": "object", "properties": { - "sourceUri": { - "description": "The web page URI for attribution.", - "type": "string" - }, - "imageUri": { - "description": "The image asset URL.", - "type": "string" - }, - "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" + "enableWidget": { + "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", + "type": "boolean" } - }, - "type": "object" + } }, - "WhiteSpaceConfig": { + "AudioResponseFormat": { "type": "object", - "description": "Configuration for a white space chunking algorithm [white space delimited].", "properties": { - "maxOverlapTokens": { + "mimeType": { + "description": "Optional. The MIME type of the audio output.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "MP3 audio format.", + "OGG Opus audio format.", + "Raw PCM (L16) audio format.", + "WAV audio format.", + "A-law audio format.", + "Mu-law audio format." + ], + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "AUDIO_MP3", + "AUDIO_OGG_OPUS", + "AUDIO_L16", + "AUDIO_WAV", + "AUDIO_ALAW", + "AUDIO_MULAW" + ], + "type": "string" + }, + "sampleRate": { "type": "integer", - "description": "Maximum number of overlapping tokens between two adjacent chunks.", - "format": "int32" + "format": "int32", + "description": "Optional. Sample rate in Hz." }, - "maxTokensPerChunk": { + "bitRate": { + "description": "Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).", "type": "integer", - "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", "format": "int32" - } - } - }, - "VideoFileMetadata": { - "description": "Metadata for a video `File`.", - "properties": { - "videoDuration": { - "description": "Duration of the video.", - "format": "google-duration", - "type": "string" + }, + "delivery": { + "enum": [ + "DELIVERY_UNSPECIFIED", + "INLINE", + "URI" + ], + "type": "string", + "description": "Optional. The delivery mode for the audio output.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Audio data is returned inline in the response.", + "Audio data is returned as a URI." + ] } }, - "type": "object" + "description": "Configuration for audio output format." }, - "UrlContextMetadata": { - "description": "Metadata related to url context retrieval tool.", + "Maps": { + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", + "type": "object", "properties": { - "urlMetadata": { - "description": "List of url context.", - "items": { - "$ref": "#/components/schemas/UrlMetadata" - }, - "type": "array" + "uri": { + "description": "URI reference of the place.", + "type": "string" + }, + "title": { + "description": "Title of the place.", + "type": "string" + }, + "placeId": { + "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", + "type": "string" + }, + "text": { + "description": "Text description of the place answer.", + "type": "string" + }, + "placeAnswerSources": { + "description": "Sources that provide answers about the features of a given place in Google Maps.", + "$ref": "#/components/schemas/PlaceAnswerSources" } - }, - "type": "object" + } }, - "ComputerUse": { + "Operation": { + "description": "This resource represents a long-running operation that is the result of a network API call.", "type": "object", - "description": "Computer Use tool type.", "properties": { - "environment": { - "description": "Required. The environment being operated.", - "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser.", - "Operates in a mobile environment.", - "Operates in a desktop environment." - ], - "type": "string", - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER", - "ENVIRONMENT_MOBILE", - "ENVIRONMENT_DESKTOP" - ] - }, - "enablePromptInjectionDetection": { - "description": "Optional. Whether enable the prompt injection detection check on computer-use request.", - "type": "boolean" + "metadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any." }, - "excludedPredefinedFunctions": { - "type": "array", - "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" - } + "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" }, - "disabledSafetyPolicies": { - "description": "Optional. Disabled safety policies for computer use.", - "items": { - "enum": [ - "SAFETY_POLICY_UNSPECIFIED", - "FINANCIAL_TRANSACTIONS", - "SENSITIVE_DATA_MODIFICATION", - "COMMUNICATION_TOOL", - "ACCOUNT_CREATION", - "DATA_MODIFICATION", - "USER_CONSENT_MANAGEMENT", - "LEGAL_TERMS_AND_AGREEMENTS" - ], - "type": "string", - "x-enum-descriptions": [ - "Unspecified safety policy.", - "Safety policy for financial transactions.", - "Safety policy for sensitive data modification.", - "Safety policy for communication tools (e.g. Gmail, Chat, Meet).", - "Safety policy for account creation.", - "Safety policy for data modification.", - "Safety policy for user consent management.", - "Safety policy for legal terms and agreements." - ] + "response": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." }, - "type": "array" + "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`." + }, + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" + }, + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" } } }, - "SpeechConfig": { - "description": "Config for speech generation and transcription.", + "StringList": { + "description": "User provided string values assigned to a single metadata key.", + "type": "object", "properties": { - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" - }, - "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`.", + "values": { + "description": "The string values of the metadata to store.", + "type": "array", + "items": { + "type": "string" + } + } + } + }, + "PrebuiltVoiceConfig": { + "type": "object", + "properties": { + "voiceName": { + "description": "The name of the preset voice to use.", "type": "string" - }, - "voiceConfig": { - "description": "The configuration in case of single-voice output.", - "$ref": "#/components/schemas/VoiceConfig" } }, - "type": "object" + "description": "The configuration for the prebuilt speaker to use." }, - "TuningTask": { + "InlinedResponse": { + "description": "The response to a single request in the batch.", "type": "object", - "description": "Tuning tasks that create tuned models.", "properties": { - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" - }, - "snapshots": { - "type": "array", - "description": "Output only. Metrics collected during tuning.", - "items": { - "$ref": "#/components/schemas/TuningSnapshot" + "metadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." }, + "description": "Output only. The metadata associated with the request.", "readOnly": true }, - "hyperparameters": { - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", - "$ref": "#/components/schemas/Hyperparameters" - }, - "startTime": { - "type": "string", - "description": "Output only. The timestamp when tuning this model started.", + "error": { + "description": "Output only. The error encountered while processing the request.", "readOnly": true, - "format": "google-datetime" + "$ref": "#/components/schemas/Status" }, - "completeTime": { - "type": "string", + "response": { + "description": "Output only. The response to the request.", "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp when tuning this model completed." + "$ref": "#/components/schemas/GenerateContentResponse" } } }, - "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", + "ExecutableCode": { + "type": "object", "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" + "id": { + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", + "type": "string" + }, + "language": { + "type": "string", + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ], + "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." + ] + }, + "code": { + "description": "Required. The code to be executed.", + "type": "string" } }, - "type": "object" + "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated." }, - "CachedContentUsageMetadata": { - "description": "Metadata on the usage of the cached content.", + "CodeExecutionResult": { + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", + "type": "object", "properties": { - "totalTokenCount": { - "type": "integer", - "format": "int32", - "description": "Total number of tokens that the cached content consumes." + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "type": "string" + }, + "outcome": { + "enum": [ + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" + ], + "type": "string", + "description": "Required. Outcome of the code execution.", + "x-enum-descriptions": [ + "Unspecified status. This value should not be used.", + "Code execution completed successfully. `output` contains the stdout, if any.", + "Code execution failed. `output` contains the stderr and stdout, if any.", + "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." + ] + }, + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "type": "string" } - }, - "type": "object" + } }, - "InlinedEmbedContentRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", + "type": "object", "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", + "speakerVoiceConfigs": { + "description": "Required. All the enabled speaker voices.", + "type": "array", "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" - }, - "type": "array" + "$ref": "#/components/schemas/SpeakerVoiceConfig" + } } - }, - "type": "object" + } }, - "GenerateContentBatch": { - "description": "A resource representing a batch of `GenerateContent` requests.", + "Document": { + "type": "object", "properties": { - "output": { - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/GenerateContentBatchOutput", - "readOnly": true + "customMetadata": { + "type": "array", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + }, + "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`." }, - "batchStats": { + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the Document.", "readOnly": true, - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/BatchStats" + "type": "string", + "format": "int64" }, - "createTime": { - "description": "Output only. The time at which the batch was created.", - "readOnly": true, + "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" + }, + "updateTime": { + "type": "string", "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was last updated.", + "readOnly": true + }, + "mimeType": { + "type": "string", + "description": "Output only. The mime type of the Document.", + "readOnly": true + }, + "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" }, + "createTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was created.", + "readOnly": true + }, "state": { "type": "string", - "description": "Output only. The state of the batch.", - "readOnly": true, "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" ], + "description": "Output only. Current state of the `Document`.", + "readOnly": true, "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." + "The default value. This value is used if the state is omitted.", + "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", + "All `Chunks` of the `Document` is processed and available for querying.", + "Some `Chunks` of the `Document` failed processing." ] + } + }, + "description": "A `Document` is a collection of `Chunk`s." + }, + "Tool": { + "type": "object", + "properties": { + "googleSearch": { + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "$ref": "#/components/schemas/GoogleSearch" }, - "endTime": { - "type": "string", - "description": "Output only. The time at which the batch processing completed.", - "readOnly": true, - "format": "google-datetime" + "googleSearchRetrieval": { + "description": "Optional. Retrieval tool that is powered by Google search.", + "$ref": "#/components/schemas/GoogleSearchRetrieval" }, - "displayName": { - "description": "Required. The user-defined name of this batch.", - "type": "string" + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" + "functionDeclarations": { + "type": "array", + "items": { + "$ref": "#/components/schemas/FunctionDeclaration" + }, + "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn." }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The time at which the batch was last updated.", - "type": "string" + "googleMaps": { + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", + "$ref": "#/components/schemas/GoogleMaps" }, - "name": { - "readOnly": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "type": "string" + "computerUse": { + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", + "$ref": "#/components/schemas/ComputerUse" + }, + "fileSearch": { + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", + "$ref": "#/components/schemas/FileSearch" }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" + "mcpServers": { + "type": "array", + "items": { + "$ref": "#/components/schemas/McpServer" + }, + "description": "Optional. MCP Servers to connect to." }, - "priority": { - "type": "string", - "format": "int64", - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0." + "codeExecution": { + "description": "Optional. Enables the model to execute code as part of generation.", + "$ref": "#/components/schemas/CodeExecution" } }, - "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" }, - "Status": { + "UrlContext": { + "description": "Tool to support URL context retrieval.", "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).", - "properties": { - "code": { - "description": "The status code, which should be an enum value of google.rpc.Code.", - "format": "int32", - "type": "integer" - }, - "message": { - "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", - "type": "string" - }, - "details": { - "type": "array", - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", - "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - } - } - } + "properties": {} }, - "EmbedContentResponse": { - "description": "The response to an `EmbedContentRequest`.", + "SearchTypes": { + "description": "Different types of search that can be enabled on the GoogleSearch tool.", + "type": "object", "properties": { - "embedding": { - "readOnly": true, - "description": "Output only. The embedding generated from the input content.", - "$ref": "#/components/schemas/ContentEmbedding" + "webSearch": { + "description": "Optional. Enables web search. Only text results are returned.", + "$ref": "#/components/schemas/WebSearch" }, - "usageMetadata": { - "readOnly": true, - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata" + "imageSearch": { + "description": "Optional. Enables image search. Image bytes are returned.", + "$ref": "#/components/schemas/ImageSearch" } - }, - "type": "object" + } }, - "TransferOwnershipRequest": { - "description": "Request to transfer the ownership of the tuned model.", + "RetrievalMetadata": { + "type": "object", "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", - "type": "string" + "googleSearchDynamicRetrievalScore": { + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", + "type": "number", + "format": "float" } }, - "type": "object" + "description": "Metadata related to retrieval in the grounding flow." }, - "SafetySetting": { + "SpeechConfig": { + "description": "Config for speech generation and transcription.", "type": "object", - "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", "properties": { - "category": { - "type": "string", - "description": "Required. The category for this setting.", - "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" - ], - "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." - ] + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" }, - "threshold": { - "description": "Required. Controls the probability threshold at which harm is blocked.", - "x-enum-descriptions": [ - "Threshold is unspecified.", - "Content with NEGLIGIBLE will be allowed.", - "Content with NEGLIGIBLE and LOW will be allowed.", - "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", - "All content will be allowed.", - "Turn off the safety filter." - ], - "type": "string", - "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" - ] - } - } - }, - "InlinedEmbedContentRequest": { - "type": "object", - "description": "The request to be processed in the batch.", - "properties": { - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "multiSpeakerVoiceConfig": { + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" }, - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" + "languageCode": { + "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", + "type": "string" } } }, - "InlinedRequests": { + "ChunkingConfig": { "type": "object", - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "properties": { - "requests": { - "type": "array", - "description": "Required. The requests to be processed in the batch.", - "items": { - "$ref": "#/components/schemas/InlinedRequest" - } + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" } - } + }, + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto" }, - "Part": { - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "ToolCall": { + "type": "object", "properties": { - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" + "id": { + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "type": "string" }, - "thoughtSignature": { + "toolType": { + "description": "Required. The type of tool that was called.", + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], "type": "string", - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", - "format": "byte" + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ] }, - "partMetadata": { - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", + "args": { "type": "object", "additionalProperties": { "description": "Properties of the object." - } - }, - "text": { - "description": "Inline text.", - "type": "string" - }, - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" - }, - "thought": { - "description": "Optional. Indicates if the part is thought from the model.", - "type": "boolean" - }, - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" - }, - "functionResponse": { - "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", - "$ref": "#/components/schemas/FunctionResponse" - }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" - }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" - }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" - }, - "codeExecutionResult": { - "description": "Result of executing the `ExecutableCode`.", - "$ref": "#/components/schemas/CodeExecutionResult" - }, - "toolResponse": { - "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", - "$ref": "#/components/schemas/ToolResponse" - }, - "toolCall": { - "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", - "$ref": "#/components/schemas/ToolCall" + }, + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}" } }, - "type": "object" + "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`." + }, + "Empty": { + "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", + "type": "object", + "properties": {} }, - "GroundingMetadata": { + "LogprobsResultCandidate": { + "description": "Candidate for the logprobs token and score.", "type": "object", - "description": "Metadata returned to client when grounding is enabled.", "properties": { - "groundingSupports": { - "description": "List of grounding support.", - "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" - }, - "type": "array" - }, - "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" - }, - "groundingChunks": { - "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", - "items": { - "$ref": "#/components/schemas/GroundingChunk" - }, - "type": "array" - }, - "webSearchQueries": { - "description": "Web search queries for the following-up web search.", - "items": { - "type": "string" - }, - "type": "array" - }, - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" + "token": { + "description": "The candidate\u2019s token string value.", + "type": "string" }, - "imageSearchQueries": { - "type": "array", - "description": "Image search queries used for grounding.", - "items": { - "type": "string" - } + "tokenId": { + "description": "The candidate\u2019s token id value.", + "type": "integer", + "format": "int32" }, - "googleMapsWidgetContextToken": { - "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", - "type": "string" + "logProbability": { + "type": "number", + "format": "float", + "description": "The candidate's log probability." } } }, - "CountTokensRequest": { + "AttributionSourceId": { "type": "object", - "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", "properties": { - "contents": { - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", - "items": { - "$ref": "#/components/schemas/Content" - }, - "type": "array" + "groundingPassage": { + "description": "Identifier for an inline passage.", + "$ref": "#/components/schemas/GroundingPassageId" }, - "generateContentRequest": { - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", - "$ref": "#/components/schemas/GenerateContentRequest" + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" } - } + }, + "description": "Identifier for the source contributing to this attribution." }, "GoogleSearch": { "type": "object", - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", "properties": { "timeRangeFilter": { "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", @@ -5138,616 +5445,549 @@ "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", "$ref": "#/components/schemas/SearchTypes" } - } + }, + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." }, - "CreateFileRequest": { + "TunedModel": { "type": "object", - "description": "Request for `CreateFile`.", - "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" - } - } - }, - "CodeExecutionResult": { - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", "properties": { - "outcome": { - "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" - ], - "type": "string", - "x-enum-descriptions": [ - "Unspecified status. This value should not be used.", - "Code execution completed successfully. `output` contains the stdout, if any.", - "Code execution failed. `output` contains the stderr and stdout, if any.", - "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." - ], - "description": "Required. Outcome of the code execution." + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" }, - "id": { - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "name": { + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "readOnly": true, "type": "string" }, - "output": { - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "readerProjectNumbers": { + "description": "Optional. List of project numbers that have read access to the tuned model.", + "type": "array", + "items": { + "type": "string", + "format": "int64" + } + }, + "baseModel": { + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", "type": "string" - } - }, - "type": "object" - }, - "GroundingPassageId": { - "type": "object", - "description": "Identifier for a part within a `GroundingPassage`.", - "properties": { - "passageId": { + }, + "updateTime": { "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when this model was updated.", + "readOnly": true + }, + "state": { "readOnly": true, - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`." + "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.", + "type": "string", + "enum": [ + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ] }, - "partIndex": { + "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." + }, + "topP": { + "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", + "type": "number", + "format": "float" + }, + "topK": { + "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", "type": "integer", - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", - "readOnly": true, "format": "int32" - } - } - }, - "SpeakerVoiceConfig": { - "description": "The configuration for a single speaker in a multi speaker setup.", - "properties": { - "speaker": { - "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", - "type": "string" }, - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" - } - }, - "type": "object" - }, - "ExecutableCode": { - "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", - "properties": { - "code": { - "description": "Required. The code to be executed.", - "type": "string" + "tuningTask": { + "description": "Required. The tuning task that creates the tuned model.", + "$ref": "#/components/schemas/TuningTask" }, - "id": { - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", + "createTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when this model was created.", + "readOnly": true + }, + "displayName": { + "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", "type": "string" }, - "language": { - "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" - ], - "type": "string", - "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." - ], - "description": "Required. Programming language of the `code`." + "description": { + "description": "Optional. A short description of this model.", + "type": "string" } }, - "type": "object" + "description": "A fine-tuned model created using ModelService.CreateTunedModel." }, - "AudioResponseFormat": { + "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "description": "Grounding support.", "type": "object", - "description": "Configuration for audio output format.", "properties": { - "mimeType": { - "description": "Optional. The MIME type of the audio output.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "MP3 audio format.", - "OGG Opus audio format.", - "Raw PCM (L16) audio format.", - "WAV audio format.", - "A-law audio format.", - "Mu-law audio format." - ], - "type": "string", - "enum": [ - "MIME_TYPE_UNSPECIFIED", - "AUDIO_MP3", - "AUDIO_OGG_OPUS", - "AUDIO_L16", - "AUDIO_WAV", - "AUDIO_ALAW", - "AUDIO_MULAW" - ] + "confidenceScores": { + "type": "array", + "items": { + "type": "number", + "format": "float" + }, + "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices." }, - "delivery": { - "enum": [ - "DELIVERY_UNSPECIFIED", - "INLINE", - "URI" - ], - "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Audio data is returned inline in the response.", - "Audio data is returned as a URI." - ], - "description": "Optional. The delivery mode for the audio output." + "segment": { + "description": "Segment of the content this support belongs to.", + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" }, - "sampleRate": { - "description": "Optional. Sample rate in Hz.", - "format": "int32", - "type": "integer" + "groundingChunkIndices": { + "type": "array", + "items": { + "type": "integer", + "format": "int32" + }, + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order)." }, - "bitRate": { - "format": "int32", - "description": "Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).", - "type": "integer" + "renderedParts": { + "type": "array", + "items": { + "type": "integer", + "format": "int32" + }, + "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", + "readOnly": true } } }, - "ListModelsResponse": { + "CustomMetadata": { + "description": "User provided metadata stored as key-value pairs.", "type": "object", - "description": "Response from `ListModel` containing a paginated list of Models.", "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "stringListValue": { + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" + }, + "numericValue": { + "type": "number", + "format": "float", + "description": "The numeric value of the metadata to store." + }, + "key": { + "description": "Required. The key of the metadata to store.", "type": "string" }, - "models": { - "description": "The returned Models.", - "items": { - "$ref": "#/components/schemas/Model" - }, - "type": "array" + "stringValue": { + "description": "The string value of the metadata to store.", + "type": "string" } } }, - "Operation": { + "GroundingChunkCustomMetadata": { + "description": "User provided metadata about the GroundingFact.", "type": "object", - "description": "This resource represents a long-running operation that is the result of a network API call.", "properties": { - "done": { - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", - "type": "boolean" + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" }, - "response": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`." + "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." }, - "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}`.", + "key": { + "description": "The key of the metadata.", "type": "string" }, - "metadata": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any." - }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" + "stringValue": { + "description": "Optional. The string value of the metadata.", + "type": "string" } } }, - "LatLng": { - "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", + "CreateFileResponse": { + "type": "object", "properties": { - "latitude": { - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", - "format": "double", - "type": "number" - }, - "longitude": { - "format": "double", - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", - "type": "number" + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" } }, - "type": "object" + "description": "Response for `CreateFile`." }, - "GroundingChunkStringList": { - "description": "A list of string values.", + "ContentEmbedding": { + "description": "A list of floats representing an embedding.", + "type": "object", "properties": { "values": { + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", "type": "array", - "description": "The string values of the list.", "items": { - "type": "string" + "type": "number", + "format": "float" + } + }, + "shape": { + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", + "type": "array", + "items": { + "type": "integer", + "format": "int32" } } - }, - "type": "object" - }, - "ImageSearch": { - "description": "Image search for grounding and related configurations.", - "properties": {}, - "type": "object" + } }, - "CitationSource": { - "description": "A citation to a source for a portion of a specific response.", + "InlinedEmbedContentRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "type": "object", "properties": { - "endIndex": { - "format": "int32", - "description": "Optional. End of the attributed segment, exclusive.", - "type": "integer" - }, - "startIndex": { - "type": "integer", - "format": "int32", - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes." - }, - "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", - "type": "string" - }, - "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" + "requests": { + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentRequest" + }, + "description": "Required. The requests to be processed in the batch." } - }, - "type": "object" + } }, - "SearchEntryPoint": { - "description": "Google search entry point.", + "CitationMetadata": { + "description": "A collection of source attributions for a piece of content.", + "type": "object", "properties": { - "renderedContent": { - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", - "type": "string" - }, - "sdkBlob": { - "format": "byte", - "description": "Optional. Base64 encoded JSON representing array of tuple.", - "type": "string" + "citationSources": { + "description": "Citations to sources for a specific response.", + "type": "array", + "items": { + "$ref": "#/components/schemas/CitationSource" + } } - }, - "type": "object" + } }, - "EmbedContentBatchStats": { - "description": "Stats about the batch.", + "Dataset": { + "type": "object", "properties": { - "requestCount": { - "type": "string", - "readOnly": true, - "format": "int64", - "description": "Output only. The number of requests in the batch." - }, - "successfulRequestCount": { - "type": "string", - "description": "Output only. The number of requests that were successfully processed.", - "readOnly": true, - "format": "int64" - }, - "pendingRequestCount": { - "readOnly": true, - "format": "int64", - "description": "Output only. The number of requests that are still pending processing.", - "type": "string" - }, - "failedRequestCount": { - "type": "string", - "description": "Output only. The number of requests that failed to be processed.", - "readOnly": true, - "format": "int64" + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" } }, - "type": "object" + "description": "Dataset for training or validation." }, - "FunctionCallingConfig": { - "description": "Configuration for specifying function calling behavior.", + "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": { - "mode": { + "blocked": { + "description": "Was this content blocked because of this rating?", + "type": "boolean" + }, + "category": { + "description": "Required. The category for this rating.", + "type": "string", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ], "enum": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" ], - "type": "string", "x-enum-descriptions": [ - "Unspecified function calling mode. This value should not be used.", - "Default model behavior, model decides to predict either a function call or a natural language response.", - "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", - "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", - "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." - ], - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO." - }, - "allowedFunctionNames": { - "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", - "items": { - "type": "string" - }, - "type": "array" - } - }, - "type": "object" - }, - "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.", - "properties": { - "response": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model. Multimedia can be included by using a subobject containing a single \"$ref\" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal." - }, - "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" + "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." + ] }, - "scheduling": { + "probability": { + "description": "Required. The probability of harm for this content.", "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." + "Probability is unspecified.", + "Content has a negligible chance of being unsafe.", + "Content has a low chance of being unsafe.", + "Content has a medium chance of being unsafe.", + "Content has a high chance of being unsafe." ], - "description": "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" + "HARM_PROBABILITY_UNSPECIFIED", + "NEGLIGIBLE", + "LOW", + "MEDIUM", + "HIGH" ], "type": "string" - }, - "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", - "type": "string" - }, - "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" - }, - "parts": { - "type": "array", - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", - "items": { - "$ref": "#/components/schemas/FunctionResponsePart" - } } - }, - "type": "object" + } }, - "StreamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "Web": { + "description": "Chunk from the web.", + "type": "object", "properties": { - "url": { - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", - "type": "string" - }, - "timeout": { - "format": "google-duration", - "description": "HTTP timeout for regular operations.", + "uri": { + "description": "Output only. URI reference of the chunk.", + "readOnly": true, "type": "string" }, - "headers": { - "type": "object", - "additionalProperties": { - "type": "string" - }, - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed." - }, - "sseReadTimeout": { - "format": "google-duration", - "description": "Timeout for SSE read operations.", + "title": { + "description": "Output only. Title of the chunk.", + "readOnly": true, "type": "string" - }, - "terminateOnClose": { - "description": "Whether to close the client session when the transport closes.", - "type": "boolean" } - }, - "type": "object" + } }, - "LogprobsResultCandidate": { + "Hyperparameters": { + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", "type": "object", - "description": "Candidate for the logprobs token and score.", "properties": { - "logProbability": { + "learningRateMultiplier": { + "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.", "type": "number", - "description": "The candidate's log probability.", "format": "float" }, - "token": { - "description": "The candidate\u2019s token string value.", - "type": "string" + "batchSize": { + "type": "integer", + "format": "int32", + "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples." }, - "tokenId": { + "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" + }, + "epochCount": { "type": "integer", - "description": "The candidate\u2019s token id value.", - "format": "int32" + "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." } } }, - "PlaceAnswerSources": { + "SpeakerVoiceConfig": { + "description": "The configuration for a single speaker in a multi speaker setup.", "type": "object", - "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", "properties": { - "reviewSnippets": { - "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": "array" + "speaker": { + "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", + "type": "string" + }, + "voiceConfig": { + "description": "Required. The configuration for the voice to use.", + "$ref": "#/components/schemas/VoiceConfig" } } }, - "VideoMetadata": { - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "GoogleSearchRetrieval": { "type": "object", - "deprecated": true, "properties": { - "startOffset": { - "description": "Optional. The start offset of the video.", - "format": "google-duration", + "dynamicRetrievalConfig": { + "description": "Specifies the dynamic retrieval configuration for the given source.", + "$ref": "#/components/schemas/DynamicRetrievalConfig" + } + }, + "description": "Tool to retrieve public web data for grounding, powered by Google." + }, + "Model": { + "description": "Information about a Generative Language Model.", + "type": "object", + "properties": { + "supportedGenerationMethods": { + "type": "array", + "items": { + "type": "string" + }, + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`." + }, + "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." + }, + "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" + }, + "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." + }, + "outputTokenLimit": { + "description": "Maximum number of output tokens available for this model.", + "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" }, - "endOffset": { - "type": "string", - "format": "google-duration", - "description": "Optional. The end offset of the video." + "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" }, - "fps": { - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", - "format": "double", - "type": "number" + "thinking": { + "description": "Whether the model supports thinking.", + "type": "boolean" + }, + "description": { + "description": "A short description of the model.", + "type": "string" + }, + "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" + }, + "maxTemperature": { + "description": "The maximum temperature this model can use.", + "type": "number", + "format": "float" + }, + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "type": "string" + }, + "inputTokenLimit": { + "type": "integer", + "format": "int32", + "description": "Maximum number of input tokens allowed for this model." } } }, - "RegisterFilesResponse": { - "description": "Response for `RegisterFiles`.", + "WhiteSpaceConfig": { + "type": "object", "properties": { - "files": { - "description": "The registered files to be used when calling GenerateContent.", - "items": { - "$ref": "#/components/schemas/File" - }, - "type": "array" + "maxOverlapTokens": { + "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "type": "integer", + "format": "int32" + }, + "maxTokensPerChunk": { + "type": "integer", + "format": "int32", + "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow." } }, - "type": "object" + "description": "Configuration for a white space chunking algorithm [white space delimited]." }, - "McpServer": { + "GroundingChunkStringList": { "type": "object", - "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", "properties": { - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" - }, - "name": { - "description": "The name of the MCPServer.", - "type": "string" + "values": { + "description": "The string values of the list.", + "type": "array", + "items": { + "type": "string" + } } - } + }, + "description": "A list of string values." }, - "FunctionDeclaration": { + "GroundingChunk": { + "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", "type": "object", - "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", "properties": { - "behavior": { - "enum": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" - ], - "type": "string", - "x-enum-descriptions": [ - "This value is unused.", - "If set, the system will wait to receive the function response before continuing the conversation.", - "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." - ], - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method." - }, - "name": { - "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", - "type": "string" - }, - "responseJsonSchema": { - "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." - }, - "description": { - "description": "Required. A brief description of the function.", - "type": "string" + "web": { + "description": "Grounding chunk from the web.", + "$ref": "#/components/schemas/Web" }, - "parameters": { - "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", - "$ref": "#/components/schemas/Schema" + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" }, - "response": { - "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", - "$ref": "#/components/schemas/Schema" + "image": { + "description": "Optional. Grounding chunk from image search.", + "$ref": "#/components/schemas/Image" }, - "parametersJsonSchema": { - "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." + "maps": { + "description": "Optional. Grounding chunk from Google Maps.", + "$ref": "#/components/schemas/Maps" } } }, - "RetrievalConfig": { + "TransferOwnershipResponse": { + "type": "object", + "properties": {}, + "description": "Response from `TransferOwnership`." + }, + "ListTunedModelsResponse": { "type": "object", - "description": "Retrieval config.", "properties": { - "languageCode": { - "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", + "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" }, - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" - } - } - }, - "MultiSpeakerVoiceConfig": { - "description": "The configuration for the multi-speaker setup.", - "properties": { - "speakerVoiceConfigs": { - "description": "Required. All the enabled speaker voices.", + "tunedModels": { + "type": "array", "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" + "$ref": "#/components/schemas/TunedModel" }, - "type": "array" + "description": "The returned Models." } }, - "type": "object" + "description": "Response from `ListTunedModels` containing a paginated list of Models." }, "RegisterFilesRequest": { - "description": "Request for `RegisterFiles`.", + "type": "object", "properties": { "uris": { - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "type": "array", "items": { "type": "string" }, - "type": "array" - } - }, - "type": "object" - }, - "Empty": { - "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", - "properties": {}, - "type": "object" - }, - "InputEmbedContentConfig": { - "description": "Configures the input to the batch request.", - "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" - }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`." } }, - "type": "object" + "description": "Request for `RegisterFiles`." }, "GenerateContentRequest": { - "type": "object", "description": "Request to generate a completion from the model.", + "type": "object", "properties": { + "systemInstruction": { + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", + "$ref": "#/components/schemas/Content" + }, "model": { "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" }, - "contents": { - "type": "array", - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", - "items": { - "$ref": "#/components/schemas/Content" - } + "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.", + "$ref": "#/components/schemas/ToolConfig" }, "generationConfig": { "description": "Optional. Configuration options for model generation and outputs.", @@ -5757,1172 +5997,932 @@ "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", "type": "boolean" }, + "contents": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + }, + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request." + }, + "cachedContent": { + "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" + }, + "tools": { + "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Tool" + } + }, "safetySettings": { "type": "array", - "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", "items": { "$ref": "#/components/schemas/SafetySetting" - } + }, + "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." }, "serviceTier": { - "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." - ] - }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" - }, - "tools": { - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", - "items": { - "$ref": "#/components/schemas/Tool" - }, - "type": "array" - }, - "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.", - "$ref": "#/components/schemas/ToolConfig" - }, - "cachedContent": { - "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", + ], + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ], "type": "string" } } }, - "EmbedContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", - "properties": { - "responsesFile": { - "type": "string", - "readOnly": true, - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." - }, - "inlinedResponses": { - "readOnly": true, - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "$ref": "#/components/schemas/InlinedEmbedContentResponses" - } - }, - "type": "object" - }, - "TuningSnapshot": { + "UsageMetadata": { + "description": "Metadata on the generation request's token usage.", "type": "object", - "description": "Record for a single tuning step.", "properties": { - "computeTime": { + "thoughtsTokenCount": { + "description": "Output only. Number of tokens of thoughts for thinking models.", "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp when this metric was computed.", - "type": "string" + "type": "integer", + "format": "int32" }, - "step": { - "readOnly": true, - "format": "int32", - "description": "Output only. The tuning step.", - "type": "integer" + "totalTokenCount": { + "description": "Total token count for the generation request (prompt + thoughts + response candidates).", + "type": "integer", + "format": "int32" }, - "epoch": { + "toolUsePromptTokensDetails": { + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed for tool-use request inputs.", + "readOnly": true + }, + "promptTokenCount": { + "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", + "type": "integer", + "format": "int32" + }, + "candidatesTokenCount": { "type": "integer", - "readOnly": true, "format": "int32", - "description": "Output only. The epoch this step was part of." + "description": "Total number of tokens across all the generated response candidates." }, - "meanLoss": { + "cacheTokensDetails": { + "description": "Output only. List of modalities of the cached content in the request input.", "readOnly": true, - "format": "float", - "description": "Output only. The mean loss of the training examples for this step.", - "type": "number" - } - } - }, - "ResponseFormatConfig": { - "type": "object", - "description": "Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality.", - "properties": { - "text": { - "description": "Optional. Text output format configuration.", - "$ref": "#/components/schemas/TextResponseFormat" + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } }, - "image": { - "description": "Optional. Image output format configuration.", - "$ref": "#/components/schemas/ImageResponseFormat" + "serviceTier": { + "readOnly": true, + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ], + "description": "Output only. Service tier of the request.", + "type": "string", + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ] }, - "audio": { - "description": "Optional. Audio output format configuration.", - "$ref": "#/components/schemas/AudioResponseFormat" - } - } - }, - "UrlContext": { - "type": "object", - "description": "Tool to support URL context retrieval.", - "properties": {} - }, - "InputConfig": { - "type": "object", - "description": "Configures the input to the batch request.", - "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" + "promptTokensDetails": { + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input.", + "readOnly": true }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedRequests" - } - } - }, - "FileData": { - "type": "object", - "description": "URI based data.", - "properties": { - "mimeType": { - "description": "Optional. The IANA standard MIME type of the source data.", - "type": "string" + "toolUsePromptTokenCount": { + "description": "Output only. Number of tokens present in tool-use prompt(s).", + "readOnly": true, + "type": "integer", + "format": "int32" + }, + "candidatesTokensDetails": { + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were returned in the response.", + "readOnly": true + }, + "cachedContentTokenCount": { + "type": "integer", + "format": "int32", + "description": "Number of tokens in the cached part of the prompt (the cached content)" }, - "fileUri": { - "description": "Required. URI.", - "type": "string" + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", + "readOnly": true + }, + "responseTokensDetails": { + "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } } } }, - "Content": { + "InlinedEmbedContentResponse": { + "description": "The response to a single request in the batch.", "type": "object", - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", "properties": { - "role": { - "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", - "type": "string" - }, - "parts": { - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", - "items": { - "$ref": "#/components/schemas/Part" + "metadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." }, - "type": "array" + "description": "Output only. The metadata associated with the request.", + "readOnly": true + }, + "error": { + "$ref": "#/components/schemas/Status", + "description": "Output only. The error encountered while processing the request.", + "readOnly": true + }, + "response": { + "$ref": "#/components/schemas/EmbedContentResponse", + "description": "Output only. The response to the request.", + "readOnly": true } } }, - "TopCandidates": { + "TransferOwnershipRequest": { "type": "object", - "description": "Candidates with top log probabilities at each decoding step.", "properties": { - "candidates": { - "type": "array", - "description": "Sorted by log probability in descending order.", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - } + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + "type": "string" } - } + }, + "description": "Request to transfer the ownership of the tuned model." }, - "Model": { + "GenerateContentBatch": { + "description": "A resource representing a batch of `GenerateContent` requests.", "type": "object", - "description": "Information about a Generative Language Model.", "properties": { - "baseModelId": { - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", - "type": "string" - }, - "thinking": { - "description": "Whether the model supports thinking.", - "type": "boolean" - }, - "outputTokenLimit": { - "type": "integer", - "description": "Maximum number of output tokens available for this model.", - "format": "int32" - }, - "displayName": { - "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", - "type": "string" + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputConfig" }, - "description": { - "description": "A short description of the model.", - "type": "string" + "updateTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated.", + "readOnly": true }, - "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." + "output": { + "description": "Output only. The output of the batch request.", + "readOnly": true, + "$ref": "#/components/schemas/GenerateContentBatchOutput" }, "name": { - "description": "Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * \"{base_model_id}-{version}\" Examples: * `models/gemini-1.5-flash-001`", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "readOnly": true, "type": "string" }, - "version": { - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "createTime": { + "description": "Output only. The time at which the batch was created.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" }, - "maxTemperature": { - "format": "float", - "description": "The maximum temperature this model can use.", - "type": "number" + "batchStats": { + "description": "Output only. Stats about the batch.", + "readOnly": true, + "$ref": "#/components/schemas/BatchStats" }, - "inputTokenLimit": { - "type": "integer", - "description": "Maximum number of input tokens allowed for this model.", - "format": "int32" + "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." }, - "topP": { - "type": "number", - "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", - "format": "float" + "displayName": { + "description": "Required. The user-defined name of this batch.", + "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.", - "format": "float", - "type": "number" + "endTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch processing completed.", + "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": { - "type": "string" - }, - "type": "array" - } - } - }, - "CodeExecution": { - "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", - "properties": {}, - "type": "object" - }, - "GroundingAttribution": { - "type": "object", - "description": "Attribution for a source that contributed to an answer.", - "properties": { - "sourceId": { + "state": { + "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" + ], + "type": "string", "readOnly": true, - "description": "Output only. Identifier for the source contributing to this attribution.", - "$ref": "#/components/schemas/AttributionSourceId" - }, - "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" + "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." + ] } } }, - "UrlMetadata": { + "ModalityTokenCount": { "type": "object", - "description": "Context of the a single url retrieval.", "properties": { - "retrievedUrl": { - "description": "Retrieved url by the tool.", - "type": "string" - }, - "urlRetrievalStatus": { + "modality": { "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" ], "type": "string", + "description": "The modality associated with this token count.", "x-enum-descriptions": [ - "Default value. This value is unused.", - "Url retrieval is successful.", - "Url retrieval is failed due to error.", - "Url retrieval is failed because the content is behind paywall.", - "Url retrieval is failed because the content is unsafe." - ], - "description": "Status of the url retrieval." - } - } - }, - "CitationMetadata": { - "description": "A collection of source attributions for a piece of content.", - "properties": { - "citationSources": { - "type": "array", - "description": "Citations to sources for a specific response.", - "items": { - "$ref": "#/components/schemas/CitationSource" - } - } - }, - "type": "object" - }, - "BatchEmbedContentsRequest": { - "description": "Batch request to get embeddings from the model for a list of prompts.", - "properties": { - "requests": { - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", - "items": { - "$ref": "#/components/schemas/EmbedContentRequest" - }, - "type": "array" - } - }, - "type": "object" - }, - "CountTokensResponse": { - "type": "object", - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", - "properties": { - "cacheTokensDetails": { - "type": "array", - "readOnly": true, - "description": "Output only. List of modalities that were processed in the cached content.", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "totalTokens": { - "type": "integer", - "format": "int32", - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative." - }, - "promptTokensDetails": { - "readOnly": true, - "description": "Output only. List of modalities that were processed in the request input.", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "type": "array" + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." + ] }, - "cachedContentTokenCount": { + "tokenCount": { "type": "integer", "format": "int32", - "description": "Number of tokens in the cached part of the prompt (the cached content)." + "description": "Number of tokens." } - } + }, + "description": "Represents token counting info for a single modality." }, - "PrebuiltVoiceConfig": { + "BatchEmbedContentsRequest": { + "description": "Batch request to get embeddings from the model for a list of prompts.", "type": "object", - "description": "The configuration for the prebuilt speaker to use.", - "properties": { - "voiceName": { - "description": "The name of the preset voice to use.", - "type": "string" - } - } - }, - "ListCachedContentsResponse": { - "description": "Response with CachedContents list.", "properties": { - "cachedContents": { + "requests": { + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", "type": "array", - "description": "List of cached contents.", "items": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/EmbedContentRequest" } - }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", - "type": "string" } - }, - "type": "object" + } }, - "TunedModel": { - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", + "GenerateContentResponse": { + "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", + "type": "object", "properties": { - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" - }, - "readerProjectNumbers": { - "description": "Optional. List of project numbers that have read access to the tuned model.", - "items": { - "type": "string", - "format": "int64" - }, - "type": "array" - }, - "topP": { - "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", - "format": "float", - "type": "number" - }, - "temperature": { - "type": "number", - "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", - "format": "float" - }, - "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", - "type": "string" - }, - "state": { - "x-enum-descriptions": [ - "The default value. This value is unused.", - "The model is being created.", - "The model is ready to be used.", - "The model failed to be created." - ], - "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" - ], + "modelVersion": { + "description": "Output only. The model version used to generate the response.", "readOnly": true, - "description": "Output only. The state of the tuned model.", "type": "string" }, - "createTime": { + "responseId": { + "description": "Output only. response_id is used to identify each response.", "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp when this model was created.", - "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" + "usageMetadata": { + "$ref": "#/components/schemas/UsageMetadata", + "description": "Output only. Metadata on the generation requests' token usage.", + "readOnly": true }, - "topK": { - "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", - "format": "int32", - "type": "integer" + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" }, - "name": { - "type": "string", - "readOnly": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`" + "candidates": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Candidate" + }, + "description": "Candidate responses from the model." }, - "updateTime": { - "type": "string", - "description": "Output only. The timestamp when this model was updated.", + "modelStatus": { + "description": "Output only. The current model status of this model.", "readOnly": true, - "format": "google-datetime" - }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" + "$ref": "#/components/schemas/ModelStatus" } - }, - "type": "object" + } }, - "TunedModelSource": { + "PlaceAnswerSources": { "type": "object", - "description": "Tuned model as a source for training a new model.", "properties": { - "tunedModel": { - "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", - "type": "string" - }, - "baseModel": { - "type": "string", - "readOnly": true, - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`" + "reviewSnippets": { + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "type": "array", + "items": { + "$ref": "#/components/schemas/ReviewSnippet" + } } - } + }, + "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources." }, - "EmbedContentConfig": { + "InputConfig": { + "description": "Configures the input to the batch request.", "type": "object", - "description": "Configurations for the EmbedContent request.", "properties": { - "documentOcr": { - "description": "Optional. Whether to enable OCR for document content.", - "type": "boolean" - }, - "audioTrackExtraction": { - "description": "Optional. Whether to extract audio from video content.", - "type": "boolean" + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedRequests" }, - "title": { - "description": "Optional. The title for the text.", + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" - }, - "taskType": { - "description": "Optional. The task type of the embedding.", - "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." - ], - "type": "string", - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ] - }, - "outputDimensionality": { - "format": "int32", - "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", - "type": "integer" - }, - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", - "type": "boolean" } } }, - "TuningExample": { + "Blob": { "type": "object", - "description": "A single example for tuning.", "properties": { - "textInput": { - "description": "Optional. Text model input.", + "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" }, - "output": { - "description": "Required. The expected model output.", - "type": "string" + "data": { + "type": "string", + "format": "byte", + "description": "Raw bytes for media formats." } - } + }, + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field." }, - "ImportFileRequest": { - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", + "Content": { + "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", + "type": "object", "properties": { - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "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" }, - "customMetadata": { + "parts": { "type": "array", - "description": "Custom metadata to be associated with the file.", "items": { - "$ref": "#/components/schemas/CustomMetadata" - } - }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "$ref": "#/components/schemas/Part" + }, + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types." } - }, - "type": "object" + } }, - "ToolCall": { + "WebSearch": { + "description": "Standard web search for grounding and related configurations.", + "type": "object", + "properties": {} + }, + "Image": { + "description": "Chunk from image search.", "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`.", "properties": { - "id": { - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "title": { + "description": "The title of the web page that the image is from.", "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." - ] + "domain": { + "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "type": "string" }, - "args": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}" + "imageUri": { + "description": "The image asset URL.", + "type": "string" + }, + "sourceUri": { + "description": "The web page URI for attribution.", + "type": "string" } } }, - "DynamicRetrievalConfig": { + "ListModelsResponse": { "type": "object", - "description": "Describes the options to customize dynamic retrieval.", "properties": { - "mode": { - "enum": [ - "MODE_UNSPECIFIED", - "MODE_DYNAMIC" - ], - "type": "string", - "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." - ], - "description": "The mode of the predictor to be used in dynamic retrieval." + "models": { + "description": "The returned Models.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Model" + } }, - "dynamicThreshold": { - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "format": "float", - "type": "number" + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } - } + }, + "description": "Response from `ListModel` containing a paginated list of Models." }, - "StringList": { + "ListOperationsResponse": { + "description": "The response message for Operations.ListOperations.", "type": "object", - "description": "User provided string values assigned to a single metadata key.", "properties": { - "values": { - "description": "The string values of the metadata to store.", + "operations": { + "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/Operation" }, - "type": "array" + "description": "A list of operations that matches the specified filter in the request." + }, + "nextPageToken": { + "description": "The standard List next-page token.", + "type": "string" + }, + "unreachable": { + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", + "type": "array", + "items": { + "type": "string" + } } } }, - "InlinedRequest": { - "description": "The request to be processed in the batch.", + "Schema": { + "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", + "type": "object", "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" + "pattern": { + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", + "type": "string" }, - "metadata": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The metadata to be associated with the request." - } - }, - "type": "object" - }, - "File": { - "description": "A file uploaded to the API. Next ID: 15", - "properties": { - "downloadUri": { + "propertyOrdering": { + "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", + "type": "array", + "items": { + "type": "string" + } + }, + "minItems": { "type": "string", - "description": "Output only. The download uri of the `File`.", - "readOnly": true + "format": "int64", + "description": "Optional. Minimum number of the elements for Type.ARRAY." }, - "error": { - "description": "Output only. Error status if File processing failed.", - "$ref": "#/components/schemas/Status", - "readOnly": true + "maximum": { + "type": "number", + "format": "double", + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER" }, - "mimeType": { + "maxProperties": { "type": "string", - "readOnly": true, - "description": "Output only. MIME type of the file." + "format": "int64", + "description": "Optional. Maximum number of the properties for Type.OBJECT." }, - "expirationTime": { + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." + }, + "properties": { + "type": "object", + "additionalProperties": { + "$ref": "#/components/schemas/Schema" + }, + "description": "Optional. Properties of Type.OBJECT." + }, + "required": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Optional. Required properties of Type.OBJECT." + }, + "minLength": { + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", "type": "string", - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", - "readOnly": true, - "format": "google-datetime" + "format": "int64" }, - "sha256Hash": { - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "readOnly": true, - "format": "byte", + "title": { + "description": "Optional. The title of the schema.", "type": "string" }, - "videoMetadata": { - "readOnly": true, - "description": "Output only. Metadata for a video.", - "$ref": "#/components/schemas/VideoFileMetadata" + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" }, - "updateTime": { - "description": "Output only. The timestamp of when the `File` was last updated.", - "readOnly": true, - "format": "google-datetime", - "type": "string" + "minimum": { + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", + "type": "number", + "format": "double" }, - "sizeBytes": { + "anyOf": { + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Schema" + } + }, + "minProperties": { "type": "string", - "readOnly": true, "format": "int64", - "description": "Output only. Size of the file in bytes." + "description": "Optional. Minimum number of the properties for Type.OBJECT." }, - "uri": { - "type": "string", - "readOnly": true, - "description": "Output only. The uri of the `File`." + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" }, - "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" - ] + "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." }, - "state": { + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + "type": "string" + }, + "type": { "type": "string", - "readOnly": true, - "description": "Output only. Processing state of the File.", "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" ], + "description": "Required. Data type.", "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." - ] - }, - "createTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` was created.", - "type": "string" - }, - "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" - }, - "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" - } - }, - "type": "object" - }, - "TranslationConfig": { - "type": "object", - "description": "Config for translation features.", - "properties": { - "targetLanguageCode": { - "description": "Required. The target language for translation. Supported values are BCP-47 language codes (e.g. \"en\", \"es\", \"fr\").", - "type": "string" - }, - "echoTargetLanguage": { - "description": "Optional. If true, the model will generate audio when the target language is spoken, essentially it will parrot the input. If false, we will not produce audio for the target language.", - "type": "boolean" - } - } - }, - "TransferOwnershipResponse": { - "type": "object", - "description": "Response from `TransferOwnership`.", - "properties": {} - }, - "Maps": { - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", - "properties": { - "uri": { - "description": "URI reference of the place.", - "type": "string" - }, - "placeId": { - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", - "type": "string" - }, - "placeAnswerSources": { - "description": "Sources that provide answers about the features of a given place in Google Maps.", - "$ref": "#/components/schemas/PlaceAnswerSources" + "Not specified, should not be used.", + "String type.", + "Number type.", + "Integer type.", + "Boolean type.", + "Array type.", + "Object type.", + "Null type." + ] }, - "text": { - "description": "Text description of the place answer.", - "type": "string" + "maxItems": { + "description": "Optional. Maximum number of the elements for Type.ARRAY.", + "type": "string", + "format": "int64" }, - "title": { - "description": "Title of the place.", + "maxLength": { + "description": "Optional. Maximum length of the Type.STRING", + "type": "string", + "format": "int64" + }, + "format": { + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", "type": "string" - } - }, - "type": "object" - }, - "SearchTypes": { - "type": "object", - "description": "Different types of search that can be enabled on the GoogleSearch tool.", - "properties": { - "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" + "enum": { + "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", + "type": "array", + "items": { + "type": "string" + } } } }, - "Interval": { + "TunedModelSource": { "type": "object", - "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", "properties": { - "endTime": { - "format": "google-datetime", - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", - "type": "string" + "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 }, - "startTime": { - "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", - "format": "google-datetime", + "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" } - } - }, - "ToolConfig": { - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", - "properties": { - "functionCallingConfig": { - "description": "Optional. Function calling config.", - "$ref": "#/components/schemas/FunctionCallingConfig" - }, - "includeServerSideToolInvocations": { - "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", - "type": "boolean" - }, - "retrievalConfig": { - "description": "Optional. Retrieval config.", - "$ref": "#/components/schemas/RetrievalConfig" - } }, - "type": "object" + "description": "Tuned model as a source for training a new model." }, - "GroundingChunkCustomMetadata": { + "McpServer": { "type": "object", - "description": "User provided metadata about the GroundingFact.", "properties": { - "stringValue": { - "description": "Optional. The string value of the metadata.", - "type": "string" - }, - "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" - }, - "numericValue": { - "type": "number", - "format": "float", - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used." + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" }, - "key": { - "description": "The key of the metadata.", + "name": { + "description": "The name of the MCPServer.", "type": "string" } - } + }, + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6" }, - "InlinedEmbedContentResponses": { - "description": "The responses to the requests in the batch.", + "VoiceConfig": { + "type": "object", "properties": { - "inlinedResponses": { - "readOnly": true, - "description": "Output only. The responses to the requests in the batch.", - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" - }, - "type": "array" + "prebuiltVoiceConfig": { + "description": "The configuration for the prebuilt voice to use.", + "$ref": "#/components/schemas/PrebuiltVoiceConfig" } }, - "type": "object" + "description": "The configuration for the voice to use." }, - "Candidate": { + "Corpus": { + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "type": "object", - "description": "A response candidate generated from the model.", "properties": { - "index": { - "type": "integer", - "description": "Output only. Index of the candidate in the list of response candidates.", - "readOnly": true, - "format": "int32" - }, - "tokenCount": { - "type": "integer", - "readOnly": true, - "format": "int32", - "description": "Output only. Token count for this candidate." - }, - "avgLogprobs": { - "type": "number", - "description": "Output only. Average log probability score of the candidate.", - "readOnly": true, - "format": "double" - }, - "groundingMetadata": { - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", - "$ref": "#/components/schemas/GroundingMetadata", - "readOnly": true - }, - "logprobsResult": { + "name": { + "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", "readOnly": true, - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", - "$ref": "#/components/schemas/LogprobsResult" + "type": "string" }, - "finishMessage": { - "readOnly": true, - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", + "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" }, - "citationMetadata": { + "createTime": { + "description": "Output only. The Timestamp of when the `Corpus` was created.", "readOnly": true, - "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", - "$ref": "#/components/schemas/CitationMetadata" + "type": "string", + "format": "google-datetime" }, - "content": { - "description": "Output only. Generated content returned from the model.", - "$ref": "#/components/schemas/Content", + "updateTime": { + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Corpus` was last updated.", "readOnly": true - }, - "groundingAttributions": { - "readOnly": true, - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", - "items": { - "$ref": "#/components/schemas/GroundingAttribution" + } + } + }, + "CustomLongRunningOperation": { + "type": "object", + "properties": { + "metadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." }, - "type": "array" + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any." }, - "urlContextMetadata": { - "readOnly": true, - "description": "Output only. Metadata related to url context retrieval tool.", - "$ref": "#/components/schemas/UrlContextMetadata" + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" }, - "safetyRatings": { - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", - "items": { - "$ref": "#/components/schemas/SafetyRating" - }, - "type": "array" + "response": { + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } }, - "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.", - "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", - "ESCALATION" - ], - "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.", - "Request was filtered by an escalation rule." - ] + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "type": "string" + }, + "done": { + "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" } } }, - "LogprobsResult": { - "description": "Logprobs Result", + "UploadToFileSearchStoreRequest": { + "type": "object", "properties": { - "topCandidates": { + "customMetadata": { "type": "array", - "description": "Length = total number of decoding steps.", - "items": { - "$ref": "#/components/schemas/TopCandidates" - } - }, - "chosenCandidates": { - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" + "$ref": "#/components/schemas/CustomMetadata" }, - "type": "array" + "description": "Custom metadata to be associated with the data." + }, + "displayName": { + "description": "Optional. Display name of the created document.", + "type": "string" }, - "logProbabilitySum": { - "description": "Sum of log probabilities for all tokens.", - "format": "float", - "type": "number" + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", + "type": "string" + }, + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" } }, - "type": "object" + "description": "Request for `UploadToFileSearchStore`." }, - "ModelStatus": { - "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", + "SafetySetting": { + "type": "object", "properties": { - "message": { - "description": "A message explaining the model status.", - "type": "string" - }, - "retirementTime": { - "type": "string", - "description": "The time at which the model will be retired.", - "format": "google-datetime" - }, - "modelStage": { - "x-enum-descriptions": [ - "Unspecified model stage.", - "The underlying model is subject to lots of tunings.", - "Models in this stage are for experimental purposes only.", - "Models in this stage are more mature than experimental models.", - "Models in this stage are considered stable and ready for production use.", - "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", - "Models in this stage are deprecated. These models cannot be used.", - "Models in this stage are retired. These models cannot be used." - ], + "category": { "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" + "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": "The stage of the underlying model.", + "type": "string", "enumDeprecated": [ false, - true, false, false, false, false, - true, - false + false, + false, + false, + false, + false, + false, + true ], - "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." + ] + }, + "threshold": { + "enum": [ + "HARM_BLOCK_THRESHOLD_UNSPECIFIED", + "BLOCK_LOW_AND_ABOVE", + "BLOCK_MEDIUM_AND_ABOVE", + "BLOCK_ONLY_HIGH", + "BLOCK_NONE", + "OFF" + ], + "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." + ] } }, - "type": "object" - }, - "WebSearch": { - "type": "object", - "description": "Standard web search for grounding and related configurations.", - "properties": {} + "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked." }, - "GenerateContentResponse": { + "EmbeddingUsageMetadata": { + "description": "Metadata on the usage of the embedding request.", "type": "object", - "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", "properties": { - "modelVersion": { - "type": "string", - "readOnly": true, - "description": "Output only. The model version used to generate the response." + "promptTokenCount": { + "type": "integer", + "format": "int32", + "description": "Output only. Number of tokens in the prompt.", + "readOnly": true }, - "modelStatus": { + "promptTokenDetails": { + "description": "Output only. List of modalities that were processed in the request input.", "readOnly": true, - "description": "Output only. The current model status of this model.", - "$ref": "#/components/schemas/ModelStatus" - }, - "candidates": { "type": "array", - "description": "Candidate responses from the model.", "items": { - "$ref": "#/components/schemas/Candidate" + "$ref": "#/components/schemas/ModalityTokenCount" } + } + } + }, + "UrlMetadata": { + "description": "Context of the a single url retrieval.", + "type": "object", + "properties": { + "retrievedUrl": { + "description": "Retrieved url by the tool.", + "type": "string" }, - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" - }, - "usageMetadata": { - "description": "Output only. Metadata on the generation requests' token usage.", - "$ref": "#/components/schemas/UsageMetadata", - "readOnly": true - }, - "responseId": { + "urlRetrievalStatus": { + "description": "Status of the url retrieval.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Url retrieval is successful.", + "Url retrieval is failed due to error.", + "Url retrieval is failed because the content is behind paywall.", + "Url retrieval is failed because the content is unsafe." + ], + "enum": [ + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" + ], + "type": "string" + } + } + }, + "EmbedContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", + "type": "object", + "properties": { + "responsesFile": { "type": "string", - "description": "Output only. response_id is used to identify each response.", + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", "readOnly": true + }, + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "readOnly": true, + "$ref": "#/components/schemas/InlinedEmbedContentResponses" } } }, - "BatchGenerateContentRequest": { + "FunctionResponsePart": { + "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "type": "object", - "description": "Request for a `BatchGenerateContent` operation.", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/GenerateContentBatch" + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/FunctionResponseBlob" } } }, - "Corpus": { - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", + "GroundingAttribution": { + "type": "object", "properties": { - "name": { - "readOnly": true, - "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", - "type": "string" - }, - "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": { - "type": "string", - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Corpus` was last updated." + "sourceId": { + "$ref": "#/components/schemas/AttributionSourceId", + "description": "Output only. Identifier for the source contributing to this attribution.", + "readOnly": true }, - "createTime": { - "type": "string", - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "readOnly": true, - "format": "google-datetime" + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" } }, - "type": "object" + "description": "Attribution for a source that contributed to an answer." }, - "ListPermissionsResponse": { + "GroundingMetadata": { + "description": "Metadata returned to client when grounding is enabled.", "type": "object", - "description": "Response from `ListPermissions` containing a paginated list of permissions.", "properties": { - "permissions": { + "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" + }, + "retrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "$ref": "#/components/schemas/RetrievalMetadata" + }, + "webSearchQueries": { "type": "array", - "description": "Returned permissions.", "items": { - "$ref": "#/components/schemas/Permission" + "type": "string" + }, + "description": "Web search queries for the following-up web search." + }, + "groundingChunks": { + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunk" + }, + "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses." + }, + "groundingSupports": { + "description": "List of grounding support.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" } }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + "imageSearchQueries": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Image search queries used for grounding." + }, + "searchEntryPoint": { + "description": "Optional. Google search entry for the following-up web searches.", + "$ref": "#/components/schemas/SearchEntryPoint" } } }